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Use .multiplyMatrices( a, b ) instead.\\\\\\\"),this.multiplyMatrices(t,e)):this.multiplyMatrices(this,t)}premultiply(t){return this.multiplyMatrices(t,this)}multiplyMatrices(t,e){const s=t.elements,i=e.elements,r=this.elements,n=s[0],a=s[4],o=s[8],h=s[12],u=s[1],c=s[5],l=s[9],d=s[13],p=s[2],m=s[6],f=s[10],y=s[14],g=s[3],x=s[7],b=s[11],M=s[15],w=i[0],v=i[4],_=i[8],T=i[12],S=i[1],A=i[5],E=i[9],z=i[13],R=i[2],I=i[6],k=i[10],L=i[14],O=i[3],P=i[7],B=i[11],N=i[15];return r[0]=n*w+a*S+o*R+h*O,r[4]=n*v+a*A+o*I+h*P,r[8]=n*_+a*E+o*k+h*B,r[12]=n*T+a*z+o*L+h*N,r[1]=u*w+c*S+l*R+d*O,r[5]=u*v+c*A+l*I+d*P,r[9]=u*_+c*E+l*k+d*B,r[13]=u*T+c*z+l*L+d*N,r[2]=p*w+m*S+f*R+y*O,r[6]=p*v+m*A+f*I+y*P,r[10]=p*_+m*E+f*k+y*B,r[14]=p*T+m*z+f*L+y*N,r[3]=g*w+x*S+b*R+M*O,r[7]=g*v+x*A+b*I+M*P,r[11]=g*_+x*E+b*k+M*B,r[15]=g*T+x*z+b*L+M*N,this}multiplyScalar(t){const e=this.elements;return e[0]*=t,e[4]*=t,e[8]*=t,e[12]*=t,e[1]*=t,e[5]*=t,e[9]*=t,e[13]*=t,e[2]*=t,e[6]*=t,e[10]*=t,e[14]*=t,e[3]*=t,e[7]*=t,e[11]*=t,e[15]*=t,this}determinant(){const t=this.elements,e=t[0],s=t[4],i=t[8],r=t[12],n=t[1],a=t[5],o=t[9],h=t[13],u=t[2],c=t[6],l=t[10],d=t[14];return t[3]*(+r*o*c-i*h*c-r*a*l+s*h*l+i*a*d-s*o*d)+t[7]*(+e*o*d-e*h*l+r*n*l-i*n*d+i*h*u-r*o*u)+t[11]*(+e*h*c-e*a*d-r*n*c+s*n*d+r*a*u-s*h*u)+t[15]*(-i*a*u-e*o*c+e*a*l+i*n*c-s*n*l+s*o*u)}transpose(){const t=this.elements;let e;return e=t[1],t[1]=t[4],t[4]=e,e=t[2],t[2]=t[8],t[8]=e,e=t[6],t[6]=t[9],t[9]=e,e=t[3],t[3]=t[12],t[12]=e,e=t[7],t[7]=t[13],t[13]=e,e=t[11],t[11]=t[14],t[14]=e,this}setPosition(t,e,s){const i=this.elements;return t.isVector3?(i[12]=t.x,i[13]=t.y,i[14]=t.z):(i[12]=t,i[13]=e,i[14]=s),this}invert(){const t=this.elements,e=t[0],s=t[1],i=t[2],r=t[3],n=t[4],a=t[5],o=t[6],h=t[7],u=t[8],c=t[9],l=t[10],d=t[11],p=t[12],m=t[13],f=t[14],y=t[15],g=c*f*h-m*l*h+m*o*d-a*f*d-c*o*y+a*l*y,x=p*l*h-u*f*h-p*o*d+n*f*d+u*o*y-n*l*y,b=u*m*h-p*c*h+p*a*d-n*m*d-u*a*y+n*c*y,M=p*c*o-u*m*o-p*a*l+n*m*l+u*a*f-n*c*f,w=e*g+s*x+i*b+r*M;if(0===w)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);const v=1/w;return t[0]=g*v,t[1]=(m*l*r-c*f*r-m*i*d+s*f*d+c*i*y-s*l*y)*v,t[2]=(a*f*r-m*o*r+m*i*h-s*f*h-a*i*y+s*o*y)*v,t[3]=(c*o*r-a*l*r-c*i*h+s*l*h+a*i*d-s*o*d)*v,t[4]=x*v,t[5]=(u*f*r-p*l*r+p*i*d-e*f*d-u*i*y+e*l*y)*v,t[6]=(p*o*r-n*f*r-p*i*h+e*f*h+n*i*y-e*o*y)*v,t[7]=(n*l*r-u*o*r+u*i*h-e*l*h-n*i*d+e*o*d)*v,t[8]=b*v,t[9]=(p*c*r-u*m*r-p*s*d+e*m*d+u*s*y-e*c*y)*v,t[10]=(n*m*r-p*a*r+p*s*h-e*m*h-n*s*y+e*a*y)*v,t[11]=(u*a*r-n*c*r-u*s*h+e*c*h+n*s*d-e*a*d)*v,t[12]=M*v,t[13]=(u*m*i-p*c*i+p*s*l-e*m*l-u*s*f+e*c*f)*v,t[14]=(p*a*i-n*m*i-p*s*o+e*m*o+n*s*f-e*a*f)*v,t[15]=(n*c*i-u*a*i+u*s*o-e*c*o-n*s*l+e*a*l)*v,this}scale(t){const e=this.elements,s=t.x,i=t.y,r=t.z;return e[0]*=s,e[4]*=i,e[8]*=r,e[1]*=s,e[5]*=i,e[9]*=r,e[2]*=s,e[6]*=i,e[10]*=r,e[3]*=s,e[7]*=i,e[11]*=r,this}getMaxScaleOnAxis(){const t=this.elements,e=t[0]*t[0]+t[1]*t[1]+t[2]*t[2],s=t[4]*t[4]+t[5]*t[5]+t[6]*t[6],i=t[8]*t[8]+t[9]*t[9]+t[10]*t[10];return Math.sqrt(Math.max(e,s,i))}makeTranslation(t,e,s){return this.set(1,0,0,t,0,1,0,e,0,0,1,s,0,0,0,1),this}makeRotationX(t){const e=Math.cos(t),s=Math.sin(t);return this.set(1,0,0,0,0,e,-s,0,0,s,e,0,0,0,0,1),this}makeRotationY(t){const e=Math.cos(t),s=Math.sin(t);return this.set(e,0,s,0,0,1,0,0,-s,0,e,0,0,0,0,1),this}makeRotationZ(t){const e=Math.cos(t),s=Math.sin(t);return this.set(e,-s,0,0,s,e,0,0,0,0,1,0,0,0,0,1),this}makeRotationAxis(t,e){const s=Math.cos(e),i=Math.sin(e),r=1-s,n=t.x,a=t.y,o=t.z,h=r*n,u=r*a;return this.set(h*n+s,h*a-i*o,h*o+i*a,0,h*a+i*o,u*a+s,u*o-i*n,0,h*o-i*a,u*o+i*n,r*o*o+s,0,0,0,0,1),this}makeScale(t,e,s){return this.set(t,0,0,0,0,e,0,0,0,0,s,0,0,0,0,1),this}makeShear(t,e,s,i,r,n){return this.set(1,s,r,0,t,1,n,0,e,i,1,0,0,0,0,1),this}compose(t,e,s){const i=this.elements,r=e._x,n=e._y,a=e._z,o=e._w,h=r+r,u=n+n,c=a+a,l=r*h,d=r*u,p=r*c,m=n*u,f=n*c,y=a*c,g=o*h,x=o*u,b=o*c,M=s.x,w=s.y,v=s.z;return i[0]=(1-(m+y))*M,i[1]=(d+b)*M,i[2]=(p-x)*M,i[3]=0,i[4]=(d-b)*w,i[5]=(1-(l+y))*w,i[6]=(f+g)*w,i[7]=0,i[8]=(p+x)*v,i[9]=(f-g)*v,i[10]=(1-(l+m))*v,i[11]=0,i[12]=t.x,i[13]=t.y,i[14]=t.z,i[15]=1,this}decompose(t,e,s){const i=this.elements;let r=n.set(i[0],i[1],i[2]).length();const o=n.set(i[4],i[5],i[6]).length(),h=n.set(i[8],i[9],i[10]).length();this.determinant()<0&&(r=-r),t.x=i[12],t.y=i[13],t.z=i[14],a.copy(this);const u=1/r,c=1/o,l=1/h;return a.elements[0]*=u,a.elements[1]*=u,a.elements[2]*=u,a.elements[4]*=c,a.elements[5]*=c,a.elements[6]*=c,a.elements[8]*=l,a.elements[9]*=l,a.elements[10]*=l,e.setFromRotationMatrix(a),s.x=r,s.y=o,s.z=h,this}makePerspective(t,e,s,i,r,n){void 0===n&&console.warn(\\\\\\\"THREE.Matrix4: .makePerspective() has been redefined and has a new signature. Please check the docs.\\\\\\\");const a=this.elements,o=2*r/(e-t),h=2*r/(s-i),u=(e+t)/(e-t),c=(s+i)/(s-i),l=-(n+r)/(n-r),d=-2*n*r/(n-r);return a[0]=o,a[4]=0,a[8]=u,a[12]=0,a[1]=0,a[5]=h,a[9]=c,a[13]=0,a[2]=0,a[6]=0,a[10]=l,a[14]=d,a[3]=0,a[7]=0,a[11]=-1,a[15]=0,this}makeOrthographic(t,e,s,i,r,n){const a=this.elements,o=1/(e-t),h=1/(s-i),u=1/(n-r),c=(e+t)*o,l=(s+i)*h,d=(n+r)*u;return a[0]=2*o,a[4]=0,a[8]=0,a[12]=-c,a[1]=0,a[5]=2*h,a[9]=0,a[13]=-l,a[2]=0,a[6]=0,a[10]=-2*u,a[14]=-d,a[3]=0,a[7]=0,a[11]=0,a[15]=1,this}equals(t){const e=this.elements,s=t.elements;for(let t=0;t<16;t++)if(e[t]!==s[t])return!1;return!0}fromArray(t,e=0){for(let s=0;s<16;s++)this.elements[s]=t[s+e];return this}toArray(t=[],e=0){const s=this.elements;return t[e]=s[0],t[e+1]=s[1],t[e+2]=s[2],t[e+3]=s[3],t[e+4]=s[4],t[e+5]=s[5],t[e+6]=s[6],t[e+7]=s[7],t[e+8]=s[8],t[e+9]=s[9],t[e+10]=s[10],t[e+11]=s[11],t[e+12]=s[12],t[e+13]=s[13],t[e+14]=s[14],t[e+15]=s[15],t}}r.prototype.isMatrix4=!0;const n=new i.a,a=new r,o=new i.a(0,0,0),h=new i.a(1,1,1),u=new i.a,c=new i.a,l=new i.a},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return c}));var i=s(3);const r={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},n={h:0,s:0,l:0},a={h:0,s:0,l:0};function o(t,e,s){return s<0&&(s+=1),s>1&&(s-=1),s<1/6?t+6*(e-t)*s:s<.5?e:s<2/3?t+6*(e-t)*(2/3-s):t}function h(t){return t<.04045?.0773993808*t:Math.pow(.9478672986*t+.0521327014,2.4)}function u(t){return t<.0031308?12.92*t:1.055*Math.pow(t,.41666)-.055}class c{constructor(t,e,s){return void 0===e&&void 0===s?this.set(t):this.setRGB(t,e,s)}set(t){return t&&t.isColor?this.copy(t):\\\\\\\"number\\\\\\\"==typeof t?this.setHex(t):\\\\\\\"string\\\\\\\"==typeof t&&this.setStyle(t),this}setScalar(t){return this.r=t,this.g=t,this.b=t,this}setHex(t){return t=Math.floor(t),this.r=(t>>16&255)/255,this.g=(t>>8&255)/255,this.b=(255&t)/255,this}setRGB(t,e,s){return this.r=t,this.g=e,this.b=s,this}setHSL(t,e,s){if(t=i.f(t,1),e=i.d(e,0,1),s=i.d(s,0,1),0===e)this.r=this.g=this.b=s;else{const i=s<=.5?s*(1+e):s+e-s*e,r=2*s-i;this.r=o(r,i,t+1/3),this.g=o(r,i,t),this.b=o(r,i,t-1/3)}return this}setStyle(t){function e(e){void 0!==e&&parseFloat(e)<1&&console.warn(\\\\\\\"THREE.Color: Alpha component of \\\\\\\"+t+\\\\\\\" will be ignored.\\\\\\\")}let s;if(s=/^((?:rgb|hsl)a?)\\\\(([^\\\\)]*)\\\\)/.exec(t)){let t;const i=s[1],r=s[2];switch(i){case\\\\\\\"rgb\\\\\\\":case\\\\\\\"rgba\\\\\\\":if(t=/^\\\\s*(\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(r))return this.r=Math.min(255,parseInt(t[1],10))/255,this.g=Math.min(255,parseInt(t[2],10))/255,this.b=Math.min(255,parseInt(t[3],10))/255,e(t[4]),this;if(t=/^\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(r))return this.r=Math.min(100,parseInt(t[1],10))/100,this.g=Math.min(100,parseInt(t[2],10))/100,this.b=Math.min(100,parseInt(t[3],10))/100,e(t[4]),this;break;case\\\\\\\"hsl\\\\\\\":case\\\\\\\"hsla\\\\\\\":if(t=/^\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(r)){const s=parseFloat(t[1])/360,i=parseInt(t[2],10)/100,r=parseInt(t[3],10)/100;return e(t[4]),this.setHSL(s,i,r)}}}else if(s=/^\\\\#([A-Fa-f\\\\d]+)$/.exec(t)){const t=s[1],e=t.length;if(3===e)return this.r=parseInt(t.charAt(0)+t.charAt(0),16)/255,this.g=parseInt(t.charAt(1)+t.charAt(1),16)/255,this.b=parseInt(t.charAt(2)+t.charAt(2),16)/255,this;if(6===e)return this.r=parseInt(t.charAt(0)+t.charAt(1),16)/255,this.g=parseInt(t.charAt(2)+t.charAt(3),16)/255,this.b=parseInt(t.charAt(4)+t.charAt(5),16)/255,this}return t&&t.length>0?this.setColorName(t):this}setColorName(t){const e=r[t.toLowerCase()];return void 0!==e?this.setHex(e):console.warn(\\\\\\\"THREE.Color: Unknown color \\\\\\\"+t),this}clone(){return new this.constructor(this.r,this.g,this.b)}copy(t){return this.r=t.r,this.g=t.g,this.b=t.b,this}copyGammaToLinear(t,e=2){return this.r=Math.pow(t.r,e),this.g=Math.pow(t.g,e),this.b=Math.pow(t.b,e),this}copyLinearToGamma(t,e=2){const s=e>0?1/e:1;return this.r=Math.pow(t.r,s),this.g=Math.pow(t.g,s),this.b=Math.pow(t.b,s),this}convertGammaToLinear(t){return this.copyGammaToLinear(this,t),this}convertLinearToGamma(t){return this.copyLinearToGamma(this,t),this}copySRGBToLinear(t){return this.r=h(t.r),this.g=h(t.g),this.b=h(t.b),this}copyLinearToSRGB(t){return this.r=u(t.r),this.g=u(t.g),this.b=u(t.b),this}convertSRGBToLinear(){return this.copySRGBToLinear(this),this}convertLinearToSRGB(){return this.copyLinearToSRGB(this),this}getHex(){return 255*this.r<<16^255*this.g<<8^255*this.b<<0}getHexString(){return(\\\\\\\"000000\\\\\\\"+this.getHex().toString(16)).slice(-6)}getHSL(t){const e=this.r,s=this.g,i=this.b,r=Math.max(e,s,i),n=Math.min(e,s,i);let a,o;const h=(n+r)/2;if(n===r)a=0,o=0;else{const t=r-n;switch(o=h<=.5?t/(r+n):t/(2-r-n),r){case e:a=(s-i)/t+(s65535?o.i:o.h)(t,1):this.index=t,this}getAttribute(t){return this.attributes[t]}setAttribute(t,e){return this.attributes[t]=e,this}deleteAttribute(t){return delete this.attributes[t],this}hasAttribute(t){return void 0!==this.attributes[t]}addGroup(t,e,s=0){this.groups.push({start:t,count:e,materialIndex:s})}clearGroups(){this.groups=[]}setDrawRange(t,e){this.drawRange.start=t,this.drawRange.count=e}applyMatrix4(t){const e=this.attributes.position;void 0!==e&&(e.applyMatrix4(t),e.needsUpdate=!0);const s=this.attributes.normal;if(void 0!==s){const e=(new l.a).getNormalMatrix(t);s.applyNormalMatrix(e),s.needsUpdate=!0}const i=this.attributes.tangent;return void 0!==i&&(i.transformDirection(t),i.needsUpdate=!0),null!==this.boundingBox&&this.computeBoundingBox(),null!==this.boundingSphere&&this.computeBoundingSphere(),this}applyQuaternion(t){return f.makeRotationFromQuaternion(t),this.applyMatrix4(f),this}rotateX(t){return f.makeRotationX(t),this.applyMatrix4(f),this}rotateY(t){return f.makeRotationY(t),this.applyMatrix4(f),this}rotateZ(t){return f.makeRotationZ(t),this.applyMatrix4(f),this}translate(t,e,s){return f.makeTranslation(t,e,s),this.applyMatrix4(f),this}scale(t,e,s){return f.makeScale(t,e,s),this.applyMatrix4(f),this}lookAt(t){return y.lookAt(t),y.updateMatrix(),this.applyMatrix4(y.matrix),this}center(){return this.computeBoundingBox(),this.boundingBox.getCenter(g).negate(),this.translate(g.x,g.y,g.z),this}setFromPoints(t){const e=[];for(let s=0,i=t.length;s0&&(t.userData=this.userData),void 0!==this.parameters){const e=this.parameters;for(const s in e)void 0!==e[s]&&(t[s]=e[s]);return t}t.data={attributes:{}};const e=this.index;null!==e&&(t.data.index={type:e.array.constructor.name,array:Array.prototype.slice.call(e.array)});const s=this.attributes;for(const e in s){const i=s[e];t.data.attributes[e]=i.toJSON(t.data)}const i={};let r=!1;for(const e in this.morphAttributes){const s=this.morphAttributes[e],n=[];for(let e=0,i=s.length;e0&&(i[e]=n,r=!0)}r&&(t.data.morphAttributes=i,t.data.morphTargetsRelative=this.morphTargetsRelative);const n=this.groups;n.length>0&&(t.data.groups=JSON.parse(JSON.stringify(n)));const a=this.boundingSphere;return null!==a&&(t.data.boundingSphere={center:a.center.toArray(),radius:a.radius}),t}clone(){return(new this.constructor).copy(this)}copy(t){this.index=null,this.attributes={},this.morphAttributes={},this.groups=[],this.boundingBox=null,this.boundingSphere=null;const e={};this.name=t.name;const s=t.index;null!==s&&this.setIndex(s.clone(e));const i=t.attributes;for(const t in i){const s=i[t];this.setAttribute(t,s.clone(e))}const r=t.morphAttributes;for(const t in r){const s=[],i=r[t];for(let t=0,r=i.length;t=0?1:-1,i=1-e*e;if(i>Number.EPSILON){const r=Math.sqrt(i),n=Math.atan2(r,e*s);t=Math.sin(t*n)/r,a=Math.sin(a*n)/r}const r=a*s;if(o=o*t+l*r,h=h*t+d*r,u=u*t+p*r,c=c*t+m*r,t===1-a){const t=1/Math.sqrt(o*o+h*h+u*u+c*c);o*=t,h*=t,u*=t,c*=t}}t[e]=o,t[e+1]=h,t[e+2]=u,t[e+3]=c}static multiplyQuaternionsFlat(t,e,s,i,r,n){const a=s[i],o=s[i+1],h=s[i+2],u=s[i+3],c=r[n],l=r[n+1],d=r[n+2],p=r[n+3];return t[e]=a*p+u*c+o*d-h*l,t[e+1]=o*p+u*l+h*c-a*d,t[e+2]=h*p+u*d+a*l-o*c,t[e+3]=u*p-a*c-o*l-h*d,t}get x(){return this._x}set x(t){this._x=t,this._onChangeCallback()}get y(){return this._y}set y(t){this._y=t,this._onChangeCallback()}get z(){return this._z}set z(t){this._z=t,this._onChangeCallback()}get w(){return this._w}set w(t){this._w=t,this._onChangeCallback()}set(t,e,s,i){return this._x=t,this._y=e,this._z=s,this._w=i,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._w)}copy(t){return this._x=t.x,this._y=t.y,this._z=t.z,this._w=t.w,this._onChangeCallback(),this}setFromEuler(t,e){if(!t||!t.isEuler)throw new Error(\\\\\\\"THREE.Quaternion: .setFromEuler() now expects an Euler rotation rather than a Vector3 and order.\\\\\\\");const s=t._x,i=t._y,r=t._z,n=t._order,a=Math.cos,o=Math.sin,h=a(s/2),u=a(i/2),c=a(r/2),l=o(s/2),d=o(i/2),p=o(r/2);switch(n){case\\\\\\\"XYZ\\\\\\\":this._x=l*u*c+h*d*p,this._y=h*d*c-l*u*p,this._z=h*u*p+l*d*c,this._w=h*u*c-l*d*p;break;case\\\\\\\"YXZ\\\\\\\":this._x=l*u*c+h*d*p,this._y=h*d*c-l*u*p,this._z=h*u*p-l*d*c,this._w=h*u*c+l*d*p;break;case\\\\\\\"ZXY\\\\\\\":this._x=l*u*c-h*d*p,this._y=h*d*c+l*u*p,this._z=h*u*p+l*d*c,this._w=h*u*c-l*d*p;break;case\\\\\\\"ZYX\\\\\\\":this._x=l*u*c-h*d*p,this._y=h*d*c+l*u*p,this._z=h*u*p-l*d*c,this._w=h*u*c+l*d*p;break;case\\\\\\\"YZX\\\\\\\":this._x=l*u*c+h*d*p,this._y=h*d*c+l*u*p,this._z=h*u*p-l*d*c,this._w=h*u*c-l*d*p;break;case\\\\\\\"XZY\\\\\\\":this._x=l*u*c-h*d*p,this._y=h*d*c-l*u*p,this._z=h*u*p+l*d*c,this._w=h*u*c+l*d*p;break;default:console.warn(\\\\\\\"THREE.Quaternion: .setFromEuler() encountered an unknown order: \\\\\\\"+n)}return!1!==e&&this._onChangeCallback(),this}setFromAxisAngle(t,e){const s=e/2,i=Math.sin(s);return this._x=t.x*i,this._y=t.y*i,this._z=t.z*i,this._w=Math.cos(s),this._onChangeCallback(),this}setFromRotationMatrix(t){const e=t.elements,s=e[0],i=e[4],r=e[8],n=e[1],a=e[5],o=e[9],h=e[2],u=e[6],c=e[10],l=s+a+c;if(l>0){const t=.5/Math.sqrt(l+1);this._w=.25/t,this._x=(u-o)*t,this._y=(r-h)*t,this._z=(n-i)*t}else if(s>a&&s>c){const t=2*Math.sqrt(1+s-a-c);this._w=(u-o)/t,this._x=.25*t,this._y=(i+n)/t,this._z=(r+h)/t}else if(a>c){const t=2*Math.sqrt(1+a-s-c);this._w=(r-h)/t,this._x=(i+n)/t,this._y=.25*t,this._z=(o+u)/t}else{const t=2*Math.sqrt(1+c-s-a);this._w=(n-i)/t,this._x=(r+h)/t,this._y=(o+u)/t,this._z=.25*t}return this._onChangeCallback(),this}setFromUnitVectors(t,e){let s=t.dot(e)+1;return sMath.abs(t.z)?(this._x=-t.y,this._y=t.x,this._z=0,this._w=s):(this._x=0,this._y=-t.z,this._z=t.y,this._w=s)):(this._x=t.y*e.z-t.z*e.y,this._y=t.z*e.x-t.x*e.z,this._z=t.x*e.y-t.y*e.x,this._w=s),this.normalize()}angleTo(t){return 2*Math.acos(Math.abs(i.d(this.dot(t),-1,1)))}rotateTowards(t,e){const s=this.angleTo(t);if(0===s)return this;const i=Math.min(1,e/s);return this.slerp(t,i),this}identity(){return this.set(0,0,0,1)}invert(){return this.conjugate()}conjugate(){return this._x*=-1,this._y*=-1,this._z*=-1,this._onChangeCallback(),this}dot(t){return this._x*t._x+this._y*t._y+this._z*t._z+this._w*t._w}lengthSq(){return this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w}length(){return Math.sqrt(this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w)}normalize(){let t=this.length();return 0===t?(this._x=0,this._y=0,this._z=0,this._w=1):(t=1/t,this._x=this._x*t,this._y=this._y*t,this._z=this._z*t,this._w=this._w*t),this._onChangeCallback(),this}multiply(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Quaternion: .multiply() now only accepts one argument. Use .multiplyQuaternions( a, b ) instead.\\\\\\\"),this.multiplyQuaternions(t,e)):this.multiplyQuaternions(this,t)}premultiply(t){return this.multiplyQuaternions(t,this)}multiplyQuaternions(t,e){const s=t._x,i=t._y,r=t._z,n=t._w,a=e._x,o=e._y,h=e._z,u=e._w;return this._x=s*u+n*a+i*h-r*o,this._y=i*u+n*o+r*a-s*h,this._z=r*u+n*h+s*o-i*a,this._w=n*u-s*a-i*o-r*h,this._onChangeCallback(),this}slerp(t,e){if(0===e)return this;if(1===e)return this.copy(t);const s=this._x,i=this._y,r=this._z,n=this._w;let a=n*t._w+s*t._x+i*t._y+r*t._z;if(a<0?(this._w=-t._w,this._x=-t._x,this._y=-t._y,this._z=-t._z,a=-a):this.copy(t),a>=1)return this._w=n,this._x=s,this._y=i,this._z=r,this;const o=1-a*a;if(o<=Number.EPSILON){const t=1-e;return this._w=t*n+e*this._w,this._x=t*s+e*this._x,this._y=t*i+e*this._y,this._z=t*r+e*this._z,this.normalize(),this._onChangeCallback(),this}const h=Math.sqrt(o),u=Math.atan2(h,a),c=Math.sin((1-e)*u)/h,l=Math.sin(e*u)/h;return this._w=n*c+this._w*l,this._x=s*c+this._x*l,this._y=i*c+this._y*l,this._z=r*c+this._z*l,this._onChangeCallback(),this}slerpQuaternions(t,e,s){this.copy(t).slerp(e,s)}random(){const t=Math.random(),e=Math.sqrt(1-t),s=Math.sqrt(t),i=2*Math.PI*Math.random(),r=2*Math.PI*Math.random();return this.set(e*Math.cos(i),s*Math.sin(r),s*Math.cos(r),e*Math.sin(i))}equals(t){return t._x===this._x&&t._y===this._y&&t._z===this._z&&t._w===this._w}fromArray(t,e=0){return this._x=t[e],this._y=t[e+1],this._z=t[e+2],this._w=t[e+3],this._onChangeCallback(),this}toArray(t=[],e=0){return t[e]=this._x,t[e+1]=this._y,t[e+2]=this._z,t[e+3]=this._w,t}fromBufferAttribute(t,e){return this._x=t.getX(e),this._y=t.getY(e),this._z=t.getZ(e),this._w=t.getW(e),this}_onChange(t){return this._onChangeCallback=t,this}_onChangeCallback(){}}r.prototype.isQuaternion=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return i}));class i{constructor(t=0,e=0,s=0,i=1){this.x=t,this.y=e,this.z=s,this.w=i}get width(){return this.z}set width(t){this.z=t}get height(){return this.w}set height(t){this.w=t}set(t,e,s,i){return this.x=t,this.y=e,this.z=s,this.w=i,this}setScalar(t){return this.x=t,this.y=t,this.z=t,this.w=t,this}setX(t){return this.x=t,this}setY(t){return this.y=t,this}setZ(t){return this.z=t,this}setW(t){return this.w=t,this}setComponent(t,e){switch(t){case 0:this.x=e;break;case 1:this.y=e;break;case 2:this.z=e;break;case 3:this.w=e;break;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}return this}getComponent(t){switch(t){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}}clone(){return new this.constructor(this.x,this.y,this.z,this.w)}copy(t){return this.x=t.x,this.y=t.y,this.z=t.z,this.w=void 0!==t.w?t.w:1,this}add(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector4: .add() now only accepts one argument. Use .addVectors( a, b ) instead.\\\\\\\"),this.addVectors(t,e)):(this.x+=t.x,this.y+=t.y,this.z+=t.z,this.w+=t.w,this)}addScalar(t){return this.x+=t,this.y+=t,this.z+=t,this.w+=t,this}addVectors(t,e){return this.x=t.x+e.x,this.y=t.y+e.y,this.z=t.z+e.z,this.w=t.w+e.w,this}addScaledVector(t,e){return this.x+=t.x*e,this.y+=t.y*e,this.z+=t.z*e,this.w+=t.w*e,this}sub(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector4: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.\\\\\\\"),this.subVectors(t,e)):(this.x-=t.x,this.y-=t.y,this.z-=t.z,this.w-=t.w,this)}subScalar(t){return this.x-=t,this.y-=t,this.z-=t,this.w-=t,this}subVectors(t,e){return this.x=t.x-e.x,this.y=t.y-e.y,this.z=t.z-e.z,this.w=t.w-e.w,this}multiply(t){return this.x*=t.x,this.y*=t.y,this.z*=t.z,this.w*=t.w,this}multiplyScalar(t){return this.x*=t,this.y*=t,this.z*=t,this.w*=t,this}applyMatrix4(t){const e=this.x,s=this.y,i=this.z,r=this.w,n=t.elements;return this.x=n[0]*e+n[4]*s+n[8]*i+n[12]*r,this.y=n[1]*e+n[5]*s+n[9]*i+n[13]*r,this.z=n[2]*e+n[6]*s+n[10]*i+n[14]*r,this.w=n[3]*e+n[7]*s+n[11]*i+n[15]*r,this}divideScalar(t){return this.multiplyScalar(1/t)}setAxisAngleFromQuaternion(t){this.w=2*Math.acos(t.w);const e=Math.sqrt(1-t.w*t.w);return e<1e-4?(this.x=1,this.y=0,this.z=0):(this.x=t.x/e,this.y=t.y/e,this.z=t.z/e),this}setAxisAngleFromRotationMatrix(t){let e,s,i,r;const n=.01,a=.1,o=t.elements,h=o[0],u=o[4],c=o[8],l=o[1],d=o[5],p=o[9],m=o[2],f=o[6],y=o[10];if(Math.abs(u-l)o&&t>g?tg?o1){for(let t=0;t1){for(let t=0;t0){i.children=[];for(let e=0;e0){i.animations=[];for(let e=0;e0&&(s.geometries=e),i.length>0&&(s.materials=i),r.length>0&&(s.textures=r),a.length>0&&(s.images=a),o.length>0&&(s.shapes=o),h.length>0&&(s.skeletons=h),u.length>0&&(s.animations=u)}return s.object=i,s;function n(t){const e=[];for(const s in t){const i=t[s];delete i.metadata,e.push(i)}return e}}clone(t){return(new this.constructor).copy(this,t)}copy(t,e=!0){if(this.name=t.name,this.up.copy(t.up),this.position.copy(t.position),this.rotation.order=t.rotation.order,this.quaternion.copy(t.quaternion),this.scale.copy(t.scale),this.matrix.copy(t.matrix),this.matrixWorld.copy(t.matrixWorld),this.matrixAutoUpdate=t.matrixAutoUpdate,this.matrixWorldNeedsUpdate=t.matrixWorldNeedsUpdate,this.layers.mask=t.layers.mask,this.visible=t.visible,this.castShadow=t.castShadow,this.receiveShadow=t.receiveShadow,this.frustumCulled=t.frustumCulled,this.renderOrder=t.renderOrder,this.userData=JSON.parse(JSON.stringify(t.userData)),!0===e)for(let e=0;e0&&console.error(\\\\\\\"THREE.Matrix3: the constructor no longer reads arguments. use .set() instead.\\\\\\\")}set(t,e,s,i,r,n,a,o,h){const u=this.elements;return u[0]=t,u[1]=i,u[2]=a,u[3]=e,u[4]=r,u[5]=o,u[6]=s,u[7]=n,u[8]=h,this}identity(){return this.set(1,0,0,0,1,0,0,0,1),this}copy(t){const e=this.elements,s=t.elements;return e[0]=s[0],e[1]=s[1],e[2]=s[2],e[3]=s[3],e[4]=s[4],e[5]=s[5],e[6]=s[6],e[7]=s[7],e[8]=s[8],this}extractBasis(t,e,s){return t.setFromMatrix3Column(this,0),e.setFromMatrix3Column(this,1),s.setFromMatrix3Column(this,2),this}setFromMatrix4(t){const e=t.elements;return this.set(e[0],e[4],e[8],e[1],e[5],e[9],e[2],e[6],e[10]),this}multiply(t){return this.multiplyMatrices(this,t)}premultiply(t){return this.multiplyMatrices(t,this)}multiplyMatrices(t,e){const s=t.elements,i=e.elements,r=this.elements,n=s[0],a=s[3],o=s[6],h=s[1],u=s[4],c=s[7],l=s[2],d=s[5],p=s[8],m=i[0],f=i[3],y=i[6],g=i[1],x=i[4],b=i[7],M=i[2],w=i[5],v=i[8];return r[0]=n*m+a*g+o*M,r[3]=n*f+a*x+o*w,r[6]=n*y+a*b+o*v,r[1]=h*m+u*g+c*M,r[4]=h*f+u*x+c*w,r[7]=h*y+u*b+c*v,r[2]=l*m+d*g+p*M,r[5]=l*f+d*x+p*w,r[8]=l*y+d*b+p*v,this}multiplyScalar(t){const e=this.elements;return e[0]*=t,e[3]*=t,e[6]*=t,e[1]*=t,e[4]*=t,e[7]*=t,e[2]*=t,e[5]*=t,e[8]*=t,this}determinant(){const t=this.elements,e=t[0],s=t[1],i=t[2],r=t[3],n=t[4],a=t[5],o=t[6],h=t[7],u=t[8];return e*n*u-e*a*h-s*r*u+s*a*o+i*r*h-i*n*o}invert(){const t=this.elements,e=t[0],s=t[1],i=t[2],r=t[3],n=t[4],a=t[5],o=t[6],h=t[7],u=t[8],c=u*n-a*h,l=a*o-u*r,d=h*r-n*o,p=e*c+s*l+i*d;if(0===p)return this.set(0,0,0,0,0,0,0,0,0);const m=1/p;return t[0]=c*m,t[1]=(i*h-u*s)*m,t[2]=(a*s-i*n)*m,t[3]=l*m,t[4]=(u*e-i*o)*m,t[5]=(i*r-a*e)*m,t[6]=d*m,t[7]=(s*o-h*e)*m,t[8]=(n*e-s*r)*m,this}transpose(){let t;const e=this.elements;return t=e[1],e[1]=e[3],e[3]=t,t=e[2],e[2]=e[6],e[6]=t,t=e[5],e[5]=e[7],e[7]=t,this}getNormalMatrix(t){return this.setFromMatrix4(t).invert().transpose()}transposeIntoArray(t){const e=this.elements;return t[0]=e[0],t[1]=e[3],t[2]=e[6],t[3]=e[1],t[4]=e[4],t[5]=e[7],t[6]=e[2],t[7]=e[5],t[8]=e[8],this}setUvTransform(t,e,s,i,r,n,a){const o=Math.cos(r),h=Math.sin(r);return this.set(s*o,s*h,-s*(o*n+h*a)+n+t,-i*h,i*o,-i*(-h*n+o*a)+a+e,0,0,1),this}scale(t,e){const s=this.elements;return s[0]*=t,s[3]*=t,s[6]*=t,s[1]*=e,s[4]*=e,s[7]*=e,this}rotate(t){const e=Math.cos(t),s=Math.sin(t),i=this.elements,r=i[0],n=i[3],a=i[6],o=i[1],h=i[4],u=i[7];return i[0]=e*r+s*o,i[3]=e*n+s*h,i[6]=e*a+s*u,i[1]=-s*r+e*o,i[4]=-s*n+e*h,i[7]=-s*a+e*u,this}translate(t,e){const s=this.elements;return s[0]+=t*s[2],s[3]+=t*s[5],s[6]+=t*s[8],s[1]+=e*s[2],s[4]+=e*s[5],s[7]+=e*s[8],this}equals(t){const e=this.elements,s=t.elements;for(let t=0;t<9;t++)if(e[t]!==s[t])return!1;return!0}fromArray(t,e=0){for(let s=0;s<9;s++)this.elements[s]=t[s+e];return this}toArray(t=[],e=0){const s=this.elements;return t[e]=s[0],t[e+1]=s[1],t[e+2]=s[2],t[e+3]=s[3],t[e+4]=s[4],t[e+5]=s[5],t[e+6]=s[6],t[e+7]=s[7],t[e+8]=s[8],t}clone(){return(new this.constructor).fromArray(this.elements)}}i.prototype.isMatrix3=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return o}));var i=s(15),r=s(1),n=s(3);let a=0;class o extends i.a{constructor(){super(),Object.defineProperty(this,\\\\\\\"id\\\\\\\",{value:a++}),this.uuid=n.h(),this.name=\\\\\\\"\\\\\\\",this.type=\\\\\\\"Material\\\\\\\",this.fog=!0,this.blending=r.xb,this.side=r.H,this.vertexColors=!1,this.opacity=1,this.format=r.Ib,this.transparent=!1,this.blendSrc=r.Nc,this.blendDst=r.Db,this.blendEquation=r.b,this.blendSrcAlpha=null,this.blendDstAlpha=null,this.blendEquationAlpha=null,this.depthFunc=r.T,this.depthTest=!0,this.depthWrite=!0,this.stencilWriteMask=255,this.stencilFunc=r.h,this.stencilRef=0,this.stencilFuncMask=255,this.stencilFail=r.R,this.stencilZFail=r.R,this.stencilZPass=r.R,this.stencilWrite=!1,this.clippingPlanes=null,this.clipIntersection=!1,this.clipShadows=!1,this.shadowSide=null,this.colorWrite=!0,this.precision=null,this.polygonOffset=!1,this.polygonOffsetFactor=0,this.polygonOffsetUnits=0,this.dithering=!1,this.alphaToCoverage=!1,this.premultipliedAlpha=!1,this.visible=!0,this.toneMapped=!0,this.userData={},this.version=0,this._alphaTest=0}get alphaTest(){return this._alphaTest}set alphaTest(t){this._alphaTest>0!=t>0&&this.version++,this._alphaTest=t}onBuild(){}onBeforeRender(){}onBeforeCompile(){}customProgramCacheKey(){return this.onBeforeCompile.toString()}setValues(t){if(void 0!==t)for(const e in t){const s=t[e];if(void 0===s){console.warn(\\\\\\\"THREE.Material: '\\\\\\\"+e+\\\\\\\"' parameter is undefined.\\\\\\\");continue}if(\\\\\\\"shading\\\\\\\"===e){console.warn(\\\\\\\"THREE.\\\\\\\"+this.type+\\\\\\\": .shading has been removed. Use the boolean .flatShading instead.\\\\\\\"),this.flatShading=s===r.F;continue}const i=this[e];void 0!==i?i&&i.isColor?i.set(s):i&&i.isVector3&&s&&s.isVector3?i.copy(s):this[e]=s:console.warn(\\\\\\\"THREE.\\\\\\\"+this.type+\\\\\\\": '\\\\\\\"+e+\\\\\\\"' is not a property of this material.\\\\\\\")}}toJSON(t){const e=void 0===t||\\\\\\\"string\\\\\\\"==typeof t;e&&(t={textures:{},images:{}});const s={metadata:{version:4.5,type:\\\\\\\"Material\\\\\\\",generator:\\\\\\\"Material.toJSON\\\\\\\"}};function i(t){const e=[];for(const s in t){const i=t[s];delete i.metadata,e.push(i)}return e}if(s.uuid=this.uuid,s.type=this.type,\\\\\\\"\\\\\\\"!==this.name&&(s.name=this.name),this.color&&this.color.isColor&&(s.color=this.color.getHex()),void 0!==this.roughness&&(s.roughness=this.roughness),void 0!==this.metalness&&(s.metalness=this.metalness),void 0!==this.sheen&&(s.sheen=this.sheen),this.sheenTint&&this.sheenTint.isColor&&(s.sheenTint=this.sheenTint.getHex()),void 0!==this.sheenRoughness&&(s.sheenRoughness=this.sheenRoughness),this.emissive&&this.emissive.isColor&&(s.emissive=this.emissive.getHex()),this.emissiveIntensity&&1!==this.emissiveIntensity&&(s.emissiveIntensity=this.emissiveIntensity),this.specular&&this.specular.isColor&&(s.specular=this.specular.getHex()),void 0!==this.specularIntensity&&(s.specularIntensity=this.specularIntensity),this.specularTint&&this.specularTint.isColor&&(s.specularTint=this.specularTint.getHex()),void 0!==this.shininess&&(s.shininess=this.shininess),void 0!==this.clearcoat&&(s.clearcoat=this.clearcoat),void 0!==this.clearcoatRoughness&&(s.clearcoatRoughness=this.clearcoatRoughness),this.clearcoatMap&&this.clearcoatMap.isTexture&&(s.clearcoatMap=this.clearcoatMap.toJSON(t).uuid),this.clearcoatRoughnessMap&&this.clearcoatRoughnessMap.isTexture&&(s.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(t).uuid),this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(s.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(t).uuid,s.clearcoatNormalScale=this.clearcoatNormalScale.toArray()),this.map&&this.map.isTexture&&(s.map=this.map.toJSON(t).uuid),this.matcap&&this.matcap.isTexture&&(s.matcap=this.matcap.toJSON(t).uuid),this.alphaMap&&this.alphaMap.isTexture&&(s.alphaMap=this.alphaMap.toJSON(t).uuid),this.lightMap&&this.lightMap.isTexture&&(s.lightMap=this.lightMap.toJSON(t).uuid,s.lightMapIntensity=this.lightMapIntensity),this.aoMap&&this.aoMap.isTexture&&(s.aoMap=this.aoMap.toJSON(t).uuid,s.aoMapIntensity=this.aoMapIntensity),this.bumpMap&&this.bumpMap.isTexture&&(s.bumpMap=this.bumpMap.toJSON(t).uuid,s.bumpScale=this.bumpScale),this.normalMap&&this.normalMap.isTexture&&(s.normalMap=this.normalMap.toJSON(t).uuid,s.normalMapType=this.normalMapType,s.normalScale=this.normalScale.toArray()),this.displacementMap&&this.displacementMap.isTexture&&(s.displacementMap=this.displacementMap.toJSON(t).uuid,s.displacementScale=this.displacementScale,s.displacementBias=this.displacementBias),this.roughnessMap&&this.roughnessMap.isTexture&&(s.roughnessMap=this.roughnessMap.toJSON(t).uuid),this.metalnessMap&&this.metalnessMap.isTexture&&(s.metalnessMap=this.metalnessMap.toJSON(t).uuid),this.emissiveMap&&this.emissiveMap.isTexture&&(s.emissiveMap=this.emissiveMap.toJSON(t).uuid),this.specularMap&&this.specularMap.isTexture&&(s.specularMap=this.specularMap.toJSON(t).uuid),this.specularIntensityMap&&this.specularIntensityMap.isTexture&&(s.specularIntensityMap=this.specularIntensityMap.toJSON(t).uuid),this.specularTintMap&&this.specularTintMap.isTexture&&(s.specularTintMap=this.specularTintMap.toJSON(t).uuid),this.envMap&&this.envMap.isTexture&&(s.envMap=this.envMap.toJSON(t).uuid,void 0!==this.combine&&(s.combine=this.combine)),void 0!==this.envMapIntensity&&(s.envMapIntensity=this.envMapIntensity),void 0!==this.reflectivity&&(s.reflectivity=this.reflectivity),void 0!==this.refractionRatio&&(s.refractionRatio=this.refractionRatio),this.gradientMap&&this.gradientMap.isTexture&&(s.gradientMap=this.gradientMap.toJSON(t).uuid),void 0!==this.transmission&&(s.transmission=this.transmission),this.transmissionMap&&this.transmissionMap.isTexture&&(s.transmissionMap=this.transmissionMap.toJSON(t).uuid),void 0!==this.thickness&&(s.thickness=this.thickness),this.thicknessMap&&this.thicknessMap.isTexture&&(s.thicknessMap=this.thicknessMap.toJSON(t).uuid),void 0!==this.attenuationDistance&&(s.attenuationDistance=this.attenuationDistance),void 0!==this.attenuationTint&&(s.attenuationTint=this.attenuationTint.getHex()),void 0!==this.size&&(s.size=this.size),null!==this.shadowSide&&(s.shadowSide=this.shadowSide),void 0!==this.sizeAttenuation&&(s.sizeAttenuation=this.sizeAttenuation),this.blending!==r.xb&&(s.blending=this.blending),this.side!==r.H&&(s.side=this.side),this.vertexColors&&(s.vertexColors=!0),this.opacity<1&&(s.opacity=this.opacity),this.format!==r.Ib&&(s.format=this.format),!0===this.transparent&&(s.transparent=this.transparent),s.depthFunc=this.depthFunc,s.depthTest=this.depthTest,s.depthWrite=this.depthWrite,s.colorWrite=this.colorWrite,s.stencilWrite=this.stencilWrite,s.stencilWriteMask=this.stencilWriteMask,s.stencilFunc=this.stencilFunc,s.stencilRef=this.stencilRef,s.stencilFuncMask=this.stencilFuncMask,s.stencilFail=this.stencilFail,s.stencilZFail=this.stencilZFail,s.stencilZPass=this.stencilZPass,this.rotation&&0!==this.rotation&&(s.rotation=this.rotation),!0===this.polygonOffset&&(s.polygonOffset=!0),0!==this.polygonOffsetFactor&&(s.polygonOffsetFactor=this.polygonOffsetFactor),0!==this.polygonOffsetUnits&&(s.polygonOffsetUnits=this.polygonOffsetUnits),this.linewidth&&1!==this.linewidth&&(s.linewidth=this.linewidth),void 0!==this.dashSize&&(s.dashSize=this.dashSize),void 0!==this.gapSize&&(s.gapSize=this.gapSize),void 0!==this.scale&&(s.scale=this.scale),!0===this.dithering&&(s.dithering=!0),this.alphaTest>0&&(s.alphaTest=this.alphaTest),!0===this.alphaToCoverage&&(s.alphaToCoverage=this.alphaToCoverage),!0===this.premultipliedAlpha&&(s.premultipliedAlpha=this.premultipliedAlpha),!0===this.wireframe&&(s.wireframe=this.wireframe),this.wireframeLinewidth>1&&(s.wireframeLinewidth=this.wireframeLinewidth),\\\\\\\"round\\\\\\\"!==this.wireframeLinecap&&(s.wireframeLinecap=this.wireframeLinecap),\\\\\\\"round\\\\\\\"!==this.wireframeLinejoin&&(s.wireframeLinejoin=this.wireframeLinejoin),!0===this.flatShading&&(s.flatShading=this.flatShading),!1===this.visible&&(s.visible=!1),!1===this.toneMapped&&(s.toneMapped=!1),\\\\\\\"{}\\\\\\\"!==JSON.stringify(this.userData)&&(s.userData=this.userData),e){const e=i(t.textures),r=i(t.images);e.length>0&&(s.textures=e),r.length>0&&(s.images=r)}return s}clone(){return(new this.constructor).copy(this)}copy(t){this.name=t.name,this.fog=t.fog,this.blending=t.blending,this.side=t.side,this.vertexColors=t.vertexColors,this.opacity=t.opacity,this.format=t.format,this.transparent=t.transparent,this.blendSrc=t.blendSrc,this.blendDst=t.blendDst,this.blendEquation=t.blendEquation,this.blendSrcAlpha=t.blendSrcAlpha,this.blendDstAlpha=t.blendDstAlpha,this.blendEquationAlpha=t.blendEquationAlpha,this.depthFunc=t.depthFunc,this.depthTest=t.depthTest,this.depthWrite=t.depthWrite,this.stencilWriteMask=t.stencilWriteMask,this.stencilFunc=t.stencilFunc,this.stencilRef=t.stencilRef,this.stencilFuncMask=t.stencilFuncMask,this.stencilFail=t.stencilFail,this.stencilZFail=t.stencilZFail,this.stencilZPass=t.stencilZPass,this.stencilWrite=t.stencilWrite;const e=t.clippingPlanes;let s=null;if(null!==e){const t=e.length;s=new Array(t);for(let i=0;i!==t;++i)s[i]=e[i].clone()}return this.clippingPlanes=s,this.clipIntersection=t.clipIntersection,this.clipShadows=t.clipShadows,this.shadowSide=t.shadowSide,this.colorWrite=t.colorWrite,this.precision=t.precision,this.polygonOffset=t.polygonOffset,this.polygonOffsetFactor=t.polygonOffsetFactor,this.polygonOffsetUnits=t.polygonOffsetUnits,this.dithering=t.dithering,this.alphaTest=t.alphaTest,this.alphaToCoverage=t.alphaToCoverage,this.premultipliedAlpha=t.premultipliedAlpha,this.visible=t.visible,this.toneMapped=t.toneMapped,this.userData=JSON.parse(JSON.stringify(t.userData)),this}dispose(){this.dispatchEvent({type:\\\\\\\"dispose\\\\\\\"})}set needsUpdate(t){!0===t&&this.version++}}o.prototype.isMaterial=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return r}));var i=s(28);class r{constructor(t){this.manager=void 0!==t?t:i.a,this.crossOrigin=\\\\\\\"anonymous\\\\\\\",this.withCredentials=!1,this.path=\\\\\\\"\\\\\\\",this.resourcePath=\\\\\\\"\\\\\\\",this.requestHeader={}}load(){}loadAsync(t,e){const s=this;return new Promise((function(i,r){s.load(t,i,e,r)}))}parse(){}setCrossOrigin(t){return this.crossOrigin=t,this}setWithCredentials(t){return this.withCredentials=t,this}setPath(t){return this.path=t,this}setResourcePath(t){return this.resourcePath=t,this}setRequestHeader(t){return this.requestHeader=t,this}}},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return I}));var i=s(0),r=s(2),n=s(18),a=s(39),o=s(5),h=s(10),u=s(40),c=s(1),l=s(29),d=s(7);const p=new o.a,m=new a.a,f=new n.a,y=new i.a,g=new i.a,x=new i.a,b=new i.a,M=new i.a,w=new i.a,v=new i.a,_=new i.a,T=new i.a,S=new r.a,A=new r.a,E=new r.a,z=new i.a,R=new i.a;class I extends h.a{constructor(t=new d.a,e=new l.a){super(),this.type=\\\\\\\"Mesh\\\\\\\",this.geometry=t,this.material=e,this.updateMorphTargets()}copy(t){return super.copy(t),void 0!==t.morphTargetInfluences&&(this.morphTargetInfluences=t.morphTargetInfluences.slice()),void 0!==t.morphTargetDictionary&&(this.morphTargetDictionary=Object.assign({},t.morphTargetDictionary)),this.material=t.material,this.geometry=t.geometry,this}updateMorphTargets(){const t=this.geometry;if(t.isBufferGeometry){const e=t.morphAttributes,s=Object.keys(e);if(s.length>0){const t=e[s[0]];if(void 0!==t){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let e=0,s=t.length;e0&&console.error(\\\\\\\"THREE.Mesh.updateMorphTargets() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}}raycast(t,e){const s=this.geometry,i=this.material,r=this.matrixWorld;if(void 0===i)return;if(null===s.boundingSphere&&s.computeBoundingSphere(),f.copy(s.boundingSphere),f.applyMatrix4(r),!1===t.ray.intersectsSphere(f))return;if(p.copy(r).invert(),m.copy(t.ray).applyMatrix4(p),null!==s.boundingBox&&!1===m.intersectsBox(s.boundingBox))return;let n;if(s.isBufferGeometry){const r=s.index,a=s.attributes.position,o=s.morphAttributes.position,h=s.morphTargetsRelative,u=s.attributes.uv,c=s.attributes.uv2,l=s.groups,d=s.drawRange;if(null!==r)if(Array.isArray(i))for(let s=0,p=l.length;ss.far?null:{distance:u,point:R.clone(),object:t}}(t,e,s,n,y,g,x,z);if(k){l&&(S.fromBufferAttribute(l,p),A.fromBufferAttribute(l,m),E.fromBufferAttribute(l,f),k.uv=u.a.getUV(z,y,g,x,S,A,E,new r.a)),d&&(S.fromBufferAttribute(d,p),A.fromBufferAttribute(d,m),E.fromBufferAttribute(d,f),k.uv2=u.a.getUV(z,y,g,x,S,A,E,new r.a));const t={a:p,b:m,c:f,normal:new 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i=t.elements,r=i[0],n=i[4],o=i[8],h=i[1],u=i[5],c=i[9],l=i[2],d=i[6],p=i[10];switch(e){case\\\\\\\"XYZ\\\\\\\":this._y=Math.asin(Object(a.d)(o,-1,1)),Math.abs(o)<.9999999?(this._x=Math.atan2(-c,p),this._z=Math.atan2(-n,r)):(this._x=Math.atan2(d,u),this._z=0);break;case\\\\\\\"YXZ\\\\\\\":this._x=Math.asin(-Object(a.d)(c,-1,1)),Math.abs(c)<.9999999?(this._y=Math.atan2(o,p),this._z=Math.atan2(h,u)):(this._y=Math.atan2(-l,r),this._z=0);break;case\\\\\\\"ZXY\\\\\\\":this._x=Math.asin(Object(a.d)(d,-1,1)),Math.abs(d)<.9999999?(this._y=Math.atan2(-l,p),this._z=Math.atan2(-n,u)):(this._y=0,this._z=Math.atan2(h,r));break;case\\\\\\\"ZYX\\\\\\\":this._y=Math.asin(-Object(a.d)(l,-1,1)),Math.abs(l)<.9999999?(this._x=Math.atan2(d,p),this._z=Math.atan2(h,r)):(this._x=0,this._z=Math.atan2(-n,u));break;case\\\\\\\"YZX\\\\\\\":this._z=Math.asin(Object(a.d)(h,-1,1)),Math.abs(h)<.9999999?(this._x=Math.atan2(-c,u),this._y=Math.atan2(-l,r)):(this._x=0,this._y=Math.atan2(o,p));break;case\\\\\\\"XZY\\\\\\\":this._z=Math.asin(-Object(a.d)(n,-1,1)),Math.abs(n)<.9999999?(this._x=Math.atan2(d,u),this._y=Math.atan2(o,r)):(this._x=Math.atan2(-c,p),this._y=0);break;default:console.warn(\\\\\\\"THREE.Euler: 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this._onChangeCallback=t,this}_onChangeCallback(){}}u.prototype.isEuler=!0,u.DefaultOrder=\\\\\\\"XYZ\\\\\\\",u.RotationOrders=[\\\\\\\"XYZ\\\\\\\",\\\\\\\"YZX\\\\\\\",\\\\\\\"ZXY\\\\\\\",\\\\\\\"XZY\\\\\\\",\\\\\\\"YXZ\\\\\\\",\\\\\\\"ZYX\\\\\\\"]},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return r})),s.d(e,\\\\\\\"b\\\\\\\",(function(){return i}));class i{constructor(t,e,s){const i=this;let r,n=!1,a=0,o=0;const h=[];this.onStart=void 0,this.onLoad=t,this.onProgress=e,this.onError=s,this.itemStart=function(t){o++,!1===n&&void 0!==i.onStart&&i.onStart(t,a,o),n=!0},this.itemEnd=function(t){a++,void 0!==i.onProgress&&i.onProgress(t,a,o),a===o&&(n=!1,void 0!==i.onLoad&&i.onLoad())},this.itemError=function(t){void 0!==i.onError&&i.onError(t)},this.resolveURL=function(t){return r?r(t):t},this.setURLModifier=function(t){return r=t,this},this.addHandler=function(t,e){return h.push(t,e),this},this.removeHandler=function(t){const e=h.indexOf(t);return-1!==e&&h.splice(e,2),this},this.getHandler=function(t){for(let e=0,s=h.length;e1?null:e.copy(s).multiplyScalar(r).add(t.start)}intersectsLine(t){const e=this.distanceToPoint(t.start),s=this.distanceToPoint(t.end);return e<0&&s>0||s<0&&e>0}intersectsBox(t){return t.intersectsPlane(this)}intersectsSphere(t){return t.intersectsPlane(this)}coplanarPoint(t){return t.copy(this.normal).multiplyScalar(-this.constant)}applyMatrix4(t,e){const s=e||o.getNormalMatrix(t),i=this.coplanarPoint(n).applyMatrix4(t),r=this.normal.applyMatrix3(s).normalize();return this.constant=-i.dot(r),this}translate(t){return this.constant-=t.dot(this.normal),this}equals(t){return t.normal.equals(this.normal)&&t.constant===this.constant}clone(){return(new this.constructor).copy(this)}}h.prototype.isPlane=!0},,function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return n}));var i=s(10),r=s(6);class n extends i.a{constructor(t,e=1){super(),this.type=\\\\\\\"Light\\\\\\\",this.color=new r.a(t),this.intensity=e}dispose(){}copy(t){return super.copy(t),this.color.copy(t.color),this.intensity=t.intensity,this}toJSON(t){const e=super.toJSON(t);return e.object.color=this.color.getHex(),e.object.intensity=this.intensity,void 0!==this.groundColor&&(e.object.groundColor=this.groundColor.getHex()),void 0!==this.distance&&(e.object.distance=this.distance),void 0!==this.angle&&(e.object.angle=this.angle),void 0!==this.decay&&(e.object.decay=this.decay),void 0!==this.penumbra&&(e.object.penumbra=this.penumbra),void 0!==this.shadow&&(e.object.shadow=this.shadow.toJSON()),e}}n.prototype.isLight=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return n}));var i=s(23),r=s(1);class n extends i.a{constructor(t=null,e=1,s=1,i,n,a,o,h,u=r.ob,c=r.ob,l,d){super(null,a,o,h,u,c,i,n,l,d),this.image={data:t,width:e,height:s},this.magFilter=u,this.minFilter=c,this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1,this.needsUpdate=!0}}n.prototype.isDataTexture=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return h}));var i=s(41),r=s(0),n=s(4);const a=new r.a,o=new r.a;class h extends i.a{constructor(t,e){super(t,e),this.type=\\\\\\\"LineSegments\\\\\\\"}computeLineDistances(){const t=this.geometry;if(t.isBufferGeometry)if(null===t.index){const e=t.attributes.position,s=[];for(let t=0,i=e.count;t=r)break t;{const a=e[1];t=r)break e}n=s,s=0}}for(;s>>1;t0)if(p=h*c-u,m=h*u-c,y=r*d,p>=0)if(m>=-y)if(m<=y){const t=1/d;p*=t,m*=t,f=p*(p+h*m+2*u)+m*(h*p+m+2*c)+l}else m=r,p=Math.max(0,-(h*m+u)),f=-p*p+m*(m+2*c)+l;else m=-r,p=Math.max(0,-(h*m+u)),f=-p*p+m*(m+2*c)+l;else m<=-y?(p=Math.max(0,-(-h*r+u)),m=p>0?-r:Math.min(Math.max(-r,-c),r),f=-p*p+m*(m+2*c)+l):m<=y?(p=0,m=Math.min(Math.max(-r,-c),r),f=m*(m+2*c)+l):(p=Math.max(0,-(h*r+u)),m=p>0?r:Math.min(Math.max(-r,-c),r),f=-p*p+m*(m+2*c)+l);else m=h>0?-r:r,p=Math.max(0,-(h*m+u)),f=-p*p+m*(m+2*c)+l;return s&&s.copy(this.direction).multiplyScalar(p).add(this.origin),i&&i.copy(a).multiplyScalar(m).add(n),f}intersectSphere(t,e){r.subVectors(t.center,this.origin);const s=r.dot(this.direction),i=r.dot(r)-s*s,n=t.radius*t.radius;if(i>n)return null;const a=Math.sqrt(n-i),o=s-a,h=s+a;return o<0&&h<0?null:o<0?this.at(h,e):this.at(o,e)}intersectsSphere(t){return this.distanceSqToPoint(t.center)<=t.radius*t.radius}distanceToPlane(t){const e=t.normal.dot(this.direction);if(0===e)return 0===t.distanceToPoint(this.origin)?0:null;const s=-(this.origin.dot(t.normal)+t.constant)/e;return s>=0?s:null}intersectPlane(t,e){const s=this.distanceToPlane(t);return null===s?null:this.at(s,e)}intersectsPlane(t){const e=t.distanceToPoint(this.origin);if(0===e)return!0;return t.normal.dot(this.direction)*e<0}intersectBox(t,e){let s,i,r,n,a,o;const h=1/this.direction.x,u=1/this.direction.y,c=1/this.direction.z,l=this.origin;return h>=0?(s=(t.min.x-l.x)*h,i=(t.max.x-l.x)*h):(s=(t.max.x-l.x)*h,i=(t.min.x-l.x)*h),u>=0?(r=(t.min.y-l.y)*u,n=(t.max.y-l.y)*u):(r=(t.max.y-l.y)*u,n=(t.min.y-l.y)*u),s>n||r>i?null:((r>s||s!=s)&&(s=r),(n=0?(a=(t.min.z-l.z)*c,o=(t.max.z-l.z)*c):(a=(t.max.z-l.z)*c,o=(t.min.z-l.z)*c),s>o||a>i?null:((a>s||s!=s)&&(s=a),(o=0?s:i,e)))}intersectsBox(t){return null!==this.intersectBox(t,r)}intersectTriangle(t,e,s,i,r){h.subVectors(e,t),u.subVectors(s,t),c.crossVectors(h,u);let n,a=this.direction.dot(c);if(a>0){if(i)return null;n=1}else{if(!(a<0))return null;n=-1,a=-a}o.subVectors(this.origin,t);const l=n*this.direction.dot(u.crossVectors(o,u));if(l<0)return null;const d=n*this.direction.dot(h.cross(o));if(d<0)return null;if(l+d>a)return null;const p=-n*o.dot(c);return p<0?null:this.at(p/a,r)}applyMatrix4(t){return this.origin.applyMatrix4(t),this.direction.transformDirection(t),this}equals(t){return t.origin.equals(this.origin)&&t.direction.equals(this.direction)}clone(){return(new this.constructor).copy(this)}}},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return m}));var i=s(0);const r=new i.a,n=new i.a,a=new i.a,o=new i.a,h=new i.a,u=new i.a,c=new i.a,l=new i.a,d=new i.a,p=new i.a;class m{constructor(t=new i.a,e=new i.a,s=new i.a){this.a=t,this.b=e,this.c=s}static getNormal(t,e,s,i){i.subVectors(s,e),r.subVectors(t,e),i.cross(r);const n=i.lengthSq();return n>0?i.multiplyScalar(1/Math.sqrt(n)):i.set(0,0,0)}static getBarycoord(t,e,s,i,o){r.subVectors(i,e),n.subVectors(s,e),a.subVectors(t,e);const h=r.dot(r),u=r.dot(n),c=r.dot(a),l=n.dot(n),d=n.dot(a),p=h*l-u*u;if(0===p)return o.set(-2,-1,-1);const m=1/p,f=(l*c-u*d)*m,y=(h*d-u*c)*m;return o.set(1-f-y,y,f)}static containsPoint(t,e,s,i){return this.getBarycoord(t,e,s,i,o),o.x>=0&&o.y>=0&&o.x+o.y<=1}static getUV(t,e,s,i,r,n,a,h){return this.getBarycoord(t,e,s,i,o),h.set(0,0),h.addScaledVector(r,o.x),h.addScaledVector(n,o.y),h.addScaledVector(a,o.z),h}static isFrontFacing(t,e,s,i){return r.subVectors(s,e),n.subVectors(t,e),r.cross(n).dot(i)<0}set(t,e,s){return this.a.copy(t),this.b.copy(e),this.c.copy(s),this}setFromPointsAndIndices(t,e,s,i){return this.a.copy(t[e]),this.b.copy(t[s]),this.c.copy(t[i]),this}setFromAttributeAndIndices(t,e,s,i){return this.a.fromBufferAttribute(t,e),this.b.fromBufferAttribute(t,s),this.c.fromBufferAttribute(t,i),this}clone(){return(new this.constructor).copy(this)}copy(t){return this.a.copy(t.a),this.b.copy(t.b),this.c.copy(t.c),this}getArea(){return r.subVectors(this.c,this.b),n.subVectors(this.a,this.b),.5*r.cross(n).length()}getMidpoint(t){return t.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)}getNormal(t){return m.getNormal(this.a,this.b,this.c,t)}getPlane(t){return t.setFromCoplanarPoints(this.a,this.b,this.c)}getBarycoord(t,e){return m.getBarycoord(t,this.a,this.b,this.c,e)}getUV(t,e,s,i,r){return m.getUV(t,this.a,this.b,this.c,e,s,i,r)}containsPoint(t){return m.containsPoint(t,this.a,this.b,this.c)}isFrontFacing(t){return m.isFrontFacing(this.a,this.b,this.c,t)}intersectsBox(t){return t.intersectsTriangle(this)}closestPointToPoint(t,e){const s=this.a,i=this.b,r=this.c;let n,a;h.subVectors(i,s),u.subVectors(r,s),l.subVectors(t,s);const o=h.dot(l),m=u.dot(l);if(o<=0&&m<=0)return e.copy(s);d.subVectors(t,i);const f=h.dot(d),y=u.dot(d);if(f>=0&&y<=f)return e.copy(i);const g=o*y-f*m;if(g<=0&&o>=0&&f<=0)return n=o/(o-f),e.copy(s).addScaledVector(h,n);p.subVectors(t,r);const x=h.dot(p),b=u.dot(p);if(b>=0&&x<=b)return e.copy(r);const M=x*m-o*b;if(M<=0&&m>=0&&b<=0)return a=m/(m-b),e.copy(s).addScaledVector(u,a);const w=f*b-x*y;if(w<=0&&y-f>=0&&x-b>=0)return c.subVectors(r,i),a=(y-f)/(y-f+(x-b)),e.copy(i).addScaledVector(c,a);const v=1/(w+M+g);return n=M*v,a=g*v,e.copy(s).addScaledVector(h,n).addScaledVector(u,a)}equals(t){return t.a.equals(this.a)&&t.b.equals(this.b)&&t.c.equals(this.c)}}},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return y}));var i=s(18),r=s(39),n=s(5),a=s(10),o=s(0),h=s(24),u=s(7),c=s(4);const l=new o.a,d=new o.a,p=new n.a,m=new r.a,f=new i.a;class y extends a.a{constructor(t=new u.a,e=new h.a){super(),this.type=\\\\\\\"Line\\\\\\\",this.geometry=t,this.material=e,this.updateMorphTargets()}copy(t){return super.copy(t),this.material=t.material,this.geometry=t.geometry,this}computeLineDistances(){const t=this.geometry;if(t.isBufferGeometry)if(null===t.index){const e=t.attributes.position,s=[0];for(let t=1,i=e.count;th)continue;d.applyMatrix4(this.matrixWorld);const o=t.ray.origin.distanceTo(d);ot.far||e.push({distance:o,point:l.clone().applyMatrix4(this.matrixWorld),index:s,face:null,faceIndex:null,object:this})}}else{for(let s=Math.max(0,n.start),i=Math.min(r.count,n.start+n.count)-1;sh)continue;d.applyMatrix4(this.matrixWorld);const i=t.ray.origin.distanceTo(d);it.far||e.push({distance:i,point:l.clone().applyMatrix4(this.matrixWorld),index:s,face:null,faceIndex:null,object:this})}}}else s.isGeometry&&console.error(\\\\\\\"THREE.Line.raycast() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}updateMorphTargets(){const t=this.geometry;if(t.isBufferGeometry){const e=t.morphAttributes,s=Object.keys(e);if(s.length>0){const t=e[s[0]];if(void 0!==t){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let e=0,s=t.length;e0&&console.error(\\\\\\\"THREE.Line.updateMorphTargets() does not support THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}}}y.prototype.isLine=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return n}));var i=s(12),r=s(6);class n extends i.a{constructor(t){super(),this.type=\\\\\\\"PointsMaterial\\\\\\\",this.color=new r.a(16777215),this.map=null,this.alphaMap=null,this.size=1,this.sizeAttenuation=!0,this.setValues(t)}copy(t){return super.copy(t),this.color.copy(t.color),this.map=t.map,this.alphaMap=t.alphaMap,this.size=t.size,this.sizeAttenuation=t.sizeAttenuation,this}}n.prototype.isPointsMaterial=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return i}));class i{static decodeText(t){if(\\\\\\\"undefined\\\\\\\"!=typeof TextDecoder)return(new TextDecoder).decode(t);let e=\\\\\\\"\\\\\\\";for(let s=0,i=t.length;s0){const t=e[s[0]];if(void 0!==t){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let e=0,s=t.length;e0&&console.error(\\\\\\\"THREE.Points.updateMorphTargets() does not support THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}}}function f(t,e,s,i,r,n,a){const h=l.distanceSqToPoint(t);if(hr.far)return;n.push({distance:u,distanceToRay:Math.sqrt(h),point:s,index:e,face:null,object:a})}}m.prototype.isPoints=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return r}));var i=s(26);class r extends i.a{}r.prototype.ValueTypeName=\\\\\\\"number\\\\\\\"},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return r}));var i=s(26);class r extends i.a{}r.prototype.ValueTypeName=\\\\\\\"vector\\\\\\\"},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return r}));var i=s(10);class r extends i.a{constructor(){super(),this.type=\\\\\\\"Bone\\\\\\\"}}r.prototype.isBone=!0},,function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return h}));var i=s(1),r=s(26),n=s(38),a=s(8);class o extends n.a{constructor(t,e,s,i){super(t,e,s,i)}interpolate_(t,e,s,i){const r=this.resultBuffer,n=this.sampleValues,o=this.valueSize,h=(s-e)/(i-e);let u=t*o;for(let t=u+o;u!==t;u+=4)a.a.slerpFlat(r,0,n,u-o,n,u,h);return r}}class h extends r.a{InterpolantFactoryMethodLinear(t){return new o(this.times,this.values,this.getValueSize(),t)}}h.prototype.ValueTypeName=\\\\\\\"quaternion\\\\\\\",h.prototype.DefaultInterpolation=i.P,h.prototype.InterpolantFactoryMethodSmooth=void 0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return o}));var i=s(1),r=s(12),n=s(2),a=s(6);class o extends r.a{constructor(t){super(),this.defines={STANDARD:\\\\\\\"\\\\\\\"},this.type=\\\\\\\"MeshStandardMaterial\\\\\\\",this.color=new a.a(16777215),this.roughness=1,this.metalness=0,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new a.a(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=i.Uc,this.normalScale=new n.a(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.roughnessMap=null,this.metalnessMap=null,this.alphaMap=null,this.envMap=null,this.envMapIntensity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap=\\\\\\\"round\\\\\\\",this.wireframeLinejoin=\\\\\\\"round\\\\\\\",this.flatShading=!1,this.setValues(t)}copy(t){return super.copy(t),this.defines={STANDARD:\\\\\\\"\\\\\\\"},this.color.copy(t.color),this.roughness=t.roughness,this.metalness=t.metalness,this.map=t.map,this.lightMap=t.lightMap,this.lightMapIntensity=t.lightMapIntensity,this.aoMap=t.aoMap,this.aoMapIntensity=t.aoMapIntensity,this.emissive.copy(t.emissive),this.emissiveMap=t.emissiveMap,this.emissiveIntensity=t.emissiveIntensity,this.bumpMap=t.bumpMap,this.bumpScale=t.bumpScale,this.normalMap=t.normalMap,this.normalMapType=t.normalMapType,this.normalScale.copy(t.normalScale),this.displacementMap=t.displacementMap,this.displacementScale=t.displacementScale,this.displacementBias=t.displacementBias,this.roughnessMap=t.roughnessMap,this.metalnessMap=t.metalnessMap,this.alphaMap=t.alphaMap,this.envMap=t.envMap,this.envMapIntensity=t.envMapIntensity,this.refractionRatio=t.refractionRatio,this.wireframe=t.wireframe,this.wireframeLinewidth=t.wireframeLinewidth,this.wireframeLinecap=t.wireframeLinecap,this.wireframeLinejoin=t.wireframeLinejoin,this.flatShading=t.flatShading,this}}o.prototype.isMeshStandardMaterial=!0},,,function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return m}));var i=s(33),r=s(45),n=s(30),a=s(5),o=s(2),h=s(0),u=s(9);const c=new a.a,l=new h.a,d=new h.a;class p extends r.a{constructor(){super(new n.a(90,1,.5,500)),this._frameExtents=new o.a(4,2),this._viewportCount=6,this._viewports=[new u.a(2,1,1,1),new u.a(0,1,1,1),new u.a(3,1,1,1),new u.a(1,1,1,1),new u.a(3,0,1,1),new u.a(1,0,1,1)],this._cubeDirections=[new h.a(1,0,0),new h.a(-1,0,0),new h.a(0,0,1),new h.a(0,0,-1),new h.a(0,1,0),new h.a(0,-1,0)],this._cubeUps=[new h.a(0,1,0),new h.a(0,1,0),new h.a(0,1,0),new h.a(0,1,0),new h.a(0,0,1),new h.a(0,0,-1)]}updateMatrices(t,e=0){const s=this.camera,i=this.matrix,r=t.distance||s.far;r!==s.far&&(s.far=r,s.updateProjectionMatrix()),l.setFromMatrixPosition(t.matrixWorld),s.position.copy(l),d.copy(s.position),d.add(this._cubeDirections[e]),s.up.copy(this._cubeUps[e]),s.lookAt(d),s.updateMatrixWorld(),i.makeTranslation(-l.x,-l.y,-l.z),c.multiplyMatrices(s.projectionMatrix,s.matrixWorldInverse),this._frustum.setFromProjectionMatrix(c)}}p.prototype.isPointLightShadow=!0;class m extends i.a{constructor(t,e,s=0,i=1){super(t,e),this.type=\\\\\\\"PointLight\\\\\\\",this.distance=s,this.decay=i,this.shadow=new p}get power(){return 4*this.intensity*Math.PI}set power(t){this.intensity=t/(4*Math.PI)}dispose(){this.shadow.dispose()}copy(t){return super.copy(t),this.distance=t.distance,this.decay=t.decay,this.shadow=t.shadow.clone(),this}}m.prototype.isPointLight=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return o}));var i=s(2),r=s(55),n=s(6),a=s(3);class o extends r.a{constructor(t){super(),this.defines={STANDARD:\\\\\\\"\\\\\\\",PHYSICAL:\\\\\\\"\\\\\\\"},this.type=\\\\\\\"MeshPhysicalMaterial\\\\\\\",this.clearcoatMap=null,this.clearcoatRoughness=0,this.clearcoatRoughnessMap=null,this.clearcoatNormalScale=new i.a(1,1),this.clearcoatNormalMap=null,this.ior=1.5,Object.defineProperty(this,\\\\\\\"reflectivity\\\\\\\",{get:function(){return a.d(2.5*(this.ior-1)/(this.ior+1),0,1)},set:function(t){this.ior=(1+.4*t)/(1-.4*t)}}),this.sheenTint=new n.a(0),this.sheenRoughness=1,this.transmissionMap=null,this.thickness=.01,this.thicknessMap=null,this.attenuationDistance=0,this.attenuationTint=new n.a(1,1,1),this.specularIntensity=1,this.specularIntensityMap=null,this.specularTint=new n.a(1,1,1),this.specularTintMap=null,this._sheen=0,this._clearcoat=0,this._transmission=0,this.setValues(t)}get sheen(){return this._sheen}set sheen(t){this._sheen>0!=t>0&&this.version++,this._sheen=t}get clearcoat(){return this._clearcoat}set clearcoat(t){this._clearcoat>0!=t>0&&this.version++,this._clearcoat=t}get transmission(){return this._transmission}set transmission(t){this._transmission>0!=t>0&&this.version++,this._transmission=t}copy(t){return super.copy(t),this.defines={STANDARD:\\\\\\\"\\\\\\\",PHYSICAL:\\\\\\\"\\\\\\\"},this.clearcoat=t.clearcoat,this.clearcoatMap=t.clearcoatMap,this.clearcoatRoughness=t.clearcoatRoughness,this.clearcoatRoughnessMap=t.clearcoatRoughnessMap,this.clearcoatNormalMap=t.clearcoatNormalMap,this.clearcoatNormalScale.copy(t.clearcoatNormalScale),this.ior=t.ior,this.sheen=t.sheen,this.sheenTint.copy(t.sheenTint),this.sheenRoughness=t.sheenRoughness,this.transmission=t.transmission,this.transmissionMap=t.transmissionMap,this.thickness=t.thickness,this.thicknessMap=t.thicknessMap,this.attenuationDistance=t.attenuationDistance,this.attenuationTint.copy(t.attenuationTint),this.specularIntensity=t.specularIntensity,this.specularIntensityMap=t.specularIntensityMap,this.specularTint.copy(t.specularTint),this.specularTintMap=t.specularTintMap,this}}o.prototype.isMeshPhysicalMaterial=!0},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return h}));var i=s(0),r=s(18),n=s(31);const a=new r.a,o=new i.a;class h{constructor(t=new n.a,e=new n.a,s=new n.a,i=new n.a,r=new n.a,a=new n.a){this.planes=[t,e,s,i,r,a]}set(t,e,s,i,r,n){const a=this.planes;return a[0].copy(t),a[1].copy(e),a[2].copy(s),a[3].copy(i),a[4].copy(r),a[5].copy(n),this}copy(t){const e=this.planes;for(let s=0;s<6;s++)e[s].copy(t.planes[s]);return this}setFromProjectionMatrix(t){const e=this.planes,s=t.elements,i=s[0],r=s[1],n=s[2],a=s[3],o=s[4],h=s[5],u=s[6],c=s[7],l=s[8],d=s[9],p=s[10],m=s[11],f=s[12],y=s[13],g=s[14],x=s[15];return e[0].setComponents(a-i,c-o,m-l,x-f).normalize(),e[1].setComponents(a+i,c+o,m+l,x+f).normalize(),e[2].setComponents(a+r,c+h,m+d,x+y).normalize(),e[3].setComponents(a-r,c-h,m-d,x-y).normalize(),e[4].setComponents(a-n,c-u,m-p,x-g).normalize(),e[5].setComponents(a+n,c+u,m+p,x+g).normalize(),this}intersectsObject(t){const e=t.geometry;return null===e.boundingSphere&&e.computeBoundingSphere(),a.copy(e.boundingSphere).applyMatrix4(t.matrixWorld),this.intersectsSphere(a)}intersectsSprite(t){return a.center.set(0,0,0),a.radius=.7071067811865476,a.applyMatrix4(t.matrixWorld),this.intersectsSphere(a)}intersectsSphere(t){const e=this.planes,s=t.center,i=-t.radius;for(let t=0;t<6;t++){if(e[t].distanceToPoint(s)0?t.max.x:t.min.x,o.y=i.normal.y>0?t.max.y:t.min.y,o.z=i.normal.z>0?t.max.z:t.min.z,i.distanceToPoint(o)<0)return!1}return!0}containsPoint(t){const e=this.planes;for(let s=0;s<6;s++)if(e[s].distanceToPoint(t)<0)return!1;return!0}clone(){return(new this.constructor).copy(this)}}},,,function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return a}));var i=s(17),r=s(13),n=s(20);class a extends r.a{constructor(t){super(t)}load(t,e,s,r){void 0!==this.path&&(t=this.path+t),t=this.manager.resolveURL(t);const a=this,o=i.a.get(t);if(void 0!==o)return a.manager.itemStart(t),setTimeout((function(){e&&e(o),a.manager.itemEnd(t)}),0),o;const h=Object(n.b)(\\\\\\\"img\\\\\\\");function u(){h.removeEventListener(\\\\\\\"load\\\\\\\",u,!1),h.removeEventListener(\\\\\\\"error\\\\\\\",c,!1),i.a.add(t,this),e&&e(this),a.manager.itemEnd(t)}function c(e){h.removeEventListener(\\\\\\\"load\\\\\\\",u,!1),h.removeEventListener(\\\\\\\"error\\\\\\\",c,!1),r&&r(e),a.manager.itemError(t),a.manager.itemEnd(t)}return h.addEventListener(\\\\\\\"load\\\\\\\",u,!1),h.addEventListener(\\\\\\\"error\\\\\\\",c,!1),\\\\\\\"data:\\\\\\\"!==t.substr(0,5)&&void 0!==this.crossOrigin&&(h.crossOrigin=this.crossOrigin),a.manager.itemStart(t),h.src=t,h}}},function(t,e,s){\\\\\\\"use strict\\\\\\\";s.d(e,\\\\\\\"a\\\\\\\",(function(){return p}));var i=s(19),r=s(26),n=s(1);class a extends r.a{}a.prototype.ValueTypeName=\\\\\\\"bool\\\\\\\",a.prototype.ValueBufferType=Array,a.prototype.DefaultInterpolation=n.O,a.prototype.InterpolantFactoryMethodLinear=void 0,a.prototype.InterpolantFactoryMethodSmooth=void 0;class o extends r.a{}o.prototype.ValueTypeName=\\\\\\\"color\\\\\\\";var h=s(50),u=s(54);class c extends r.a{}c.prototype.ValueTypeName=\\\\\\\"string\\\\\\\",c.prototype.ValueBufferType=Array,c.prototype.DefaultInterpolation=n.O,c.prototype.InterpolantFactoryMethodLinear=void 0,c.prototype.InterpolantFactoryMethodSmooth=void 0;var l=s(51),d=s(3);class p{constructor(t,e=-1,s,i=n.wb){this.name=t,this.tracks=s,this.duration=e,this.blendMode=i,this.uuid=d.h(),this.duration<0&&this.resetDuration()}static parse(t){const e=[],s=t.tracks,i=1/(t.fps||1);for(let t=0,r=s.length;t!==r;++t)e.push(m(s[t]).scale(i));const r=new this(t.name,t.duration,e,t.blendMode);return r.uuid=t.uuid,r}static toJSON(t){const e=[],s=t.tracks,i={name:t.name,duration:t.duration,tracks:e,uuid:t.uuid,blendMode:t.blendMode};for(let t=0,i=s.length;t!==i;++t)e.push(r.a.toJSON(s[t]));return i}static CreateFromMorphTargetSequence(t,e,s,r){const n=e.length,a=[];for(let t=0;t1){const t=n[1];let e=i[t];e||(i[t]=e=[]),e.push(s)}}const n=[];for(const t in i)n.push(this.CreateFromMorphTargetSequence(t,i[t],e,s));return n}static parseAnimation(t,e){if(!t)return console.error(\\\\\\\"THREE.AnimationClip: No animation in JSONLoader data.\\\\\\\"),null;const s=function(t,e,s,r,n){if(0!==s.length){const a=[],o=[];i.a.flattenJSON(s,a,o,r),0!==a.length&&n.push(new t(e,a,o))}},r=[],n=t.name||\\\\\\\"default\\\\\\\",a=t.fps||30,o=t.blendMode;let c=t.length||-1;const d=t.hierarchy||[];for(let t=0;t=2.0 are supported.\\\\\\\")));const h=new Wt(o,{path:e||this.resourcePath||\\\\\\\"\\\\\\\",crossOrigin:this.crossOrigin,requestHeader:this.requestHeader,manager:this.manager,ktx2Loader:this.ktx2Loader,meshoptDecoder:this.meshoptDecoder});h.fileLoader.setRequestHeader(this.requestHeader);for(let t=0;t=0&&void 0===a[e]&&console.warn('THREE.GLTFLoader: Unknown extension \\\\\\\"'+e+'\\\\\\\".')}}h.setExtensions(n),h.setPlugins(a),h.parse(s,i)}}function K(){let t={};return{get:function(e){return t[e]},add:function(e,s){t[e]=s},remove:function(e){delete t[e]},removeAll:function(){t={}}}}const Q={KHR_BINARY_GLTF:\\\\\\\"KHR_binary_glTF\\\\\\\",KHR_DRACO_MESH_COMPRESSION:\\\\\\\"KHR_draco_mesh_compression\\\\\\\",KHR_LIGHTS_PUNCTUAL:\\\\\\\"KHR_lights_punctual\\\\\\\",KHR_MATERIALS_CLEARCOAT:\\\\\\\"KHR_materials_clearcoat\\\\\\\",KHR_MATERIALS_IOR:\\\\\\\"KHR_materials_ior\\\\\\\",KHR_MATERIALS_PBR_SPECULAR_GLOSSINESS:\\\\\\\"KHR_materials_pbrSpecularGlossiness\\\\\\\",KHR_MATERIALS_SPECULAR:\\\\\\\"KHR_materials_specular\\\\\\\",KHR_MATERIALS_TRANSMISSION:\\\\\\\"KHR_materials_transmission\\\\\\\",KHR_MATERIALS_UNLIT:\\\\\\\"KHR_materials_unlit\\\\\\\",KHR_MATERIALS_VOLUME:\\\\\\\"KHR_materials_volume\\\\\\\",KHR_TEXTURE_BASISU:\\\\\\\"KHR_texture_basisu\\\\\\\",KHR_TEXTURE_TRANSFORM:\\\\\\\"KHR_texture_transform\\\\\\\",KHR_MESH_QUANTIZATION:\\\\\\\"KHR_mesh_quantization\\\\\\\",EXT_TEXTURE_WEBP:\\\\\\\"EXT_texture_webp\\\\\\\",EXT_MESHOPT_COMPRESSION:\\\\\\\"EXT_meshopt_compression\\\\\\\"};class ${constructor(t){this.parser=t,this.name=Q.KHR_LIGHTS_PUNCTUAL,this.cache={refs:{},uses:{}}}_markDefs(){const t=this.parser,e=this.parser.json.nodes||[];for(let s=0,i=e.length;s=0)throw new Error(\\\\\\\"THREE.GLTFLoader: setKTX2Loader must be called before loading KTX2 textures\\\\\\\");return null}return e.loadTextureImage(t,n,a)}}class ot{constructor(t){this.parser=t,this.name=Q.EXT_TEXTURE_WEBP,this.isSupported=null}loadTexture(t){const e=this.name,s=this.parser,i=s.json,r=i.textures[t];if(!r.extensions||!r.extensions[e])return null;const n=r.extensions[e],a=i.images[n.source];let o=s.textureLoader;if(a.uri){const t=s.options.manager.getHandler(a.uri);null!==t&&(o=t)}return this.detectSupport().then((function(r){if(r)return s.loadTextureImage(t,a,o);if(i.extensionsRequired&&i.extensionsRequired.indexOf(e)>=0)throw new Error(\\\\\\\"THREE.GLTFLoader: WebP required by asset but unsupported.\\\\\\\");return s.loadTexture(t)}))}detectSupport(){return this.isSupported||(this.isSupported=new Promise((function(t){const e=new Image;e.src=\\\\\\\"data:image/webp;base64,UklGRiIAAABXRUJQVlA4IBYAAAAwAQCdASoBAAEADsD+JaQAA3AAAAAA\\\\\\\",e.onload=e.onerror=function(){t(1===e.height)}}))),this.isSupported}}class ht{constructor(t){this.name=Q.EXT_MESHOPT_COMPRESSION,this.parser=t}loadBufferView(t){const e=this.parser.json,s=e.bufferViews[t];if(s.extensions&&s.extensions[this.name]){const t=s.extensions[this.name],i=this.parser.getDependency(\\\\\\\"buffer\\\\\\\",t.buffer),r=this.parser.options.meshoptDecoder;if(!r||!r.supported){if(e.extensionsRequired&&e.extensionsRequired.indexOf(this.name)>=0)throw new Error(\\\\\\\"THREE.GLTFLoader: setMeshoptDecoder must be called before loading compressed files\\\\\\\");return null}return Promise.all([i,r.ready]).then((function(e){const s=t.byteOffset||0,i=t.byteLength||0,n=t.count,a=t.byteStride,o=new ArrayBuffer(n*a),h=new Uint8Array(e[0],s,i);return r.decodeGltfBuffer(new Uint8Array(o),n,a,h,t.mode,t.filter),o}))}return null}}const ut=\\\\\\\"glTF\\\\\\\",ct=1313821514,lt=5130562;class dt{constructor(t){this.name=Q.KHR_BINARY_GLTF,this.content=null,this.body=null;const e=new DataView(t,0,12);if(this.header={magic:_.a.decodeText(new Uint8Array(t.slice(0,4))),version:e.getUint32(4,!0),length:e.getUint32(8,!0)},this.header.magic!==ut)throw new Error(\\\\\\\"THREE.GLTFLoader: Unsupported glTF-Binary header.\\\\\\\");if(this.header.version<2)throw new Error(\\\\\\\"THREE.GLTFLoader: Legacy binary file detected.\\\\\\\");const s=this.header.length-12,i=new DataView(t,12);let r=0;for(;r\\\\\\\",e).replace(\\\\\\\"#include \\\\\\\",s).replace(\\\\\\\"#include \\\\\\\",i).replace(\\\\\\\"#include \\\\\\\",r).replace(\\\\\\\"#include \\\\\\\",n)},Object.defineProperties(this,{specular:{get:function(){return a.specular.value},set:function(t){a.specular.value=t}},specularMap:{get:function(){return a.specularMap.value},set:function(t){a.specularMap.value=t,t?this.defines.USE_SPECULARMAP=\\\\\\\"\\\\\\\":delete this.defines.USE_SPECULARMAP}},glossiness:{get:function(){return a.glossiness.value},set:function(t){a.glossiness.value=t}},glossinessMap:{get:function(){return a.glossinessMap.value},set:function(t){a.glossinessMap.value=t,t?(this.defines.USE_GLOSSINESSMAP=\\\\\\\"\\\\\\\",this.defines.USE_UV=\\\\\\\"\\\\\\\"):(delete this.defines.USE_GLOSSINESSMAP,delete this.defines.USE_UV)}}}),delete this.metalness,delete this.roughness,delete this.metalnessMap,delete this.roughnessMap,this.setValues(t)}copy(t){return super.copy(t),this.specularMap=t.specularMap,this.specular.copy(t.specular),this.glossinessMap=t.glossinessMap,this.glossiness=t.glossiness,delete this.metalness,delete this.roughness,delete this.metalnessMap,delete this.roughnessMap,this}}class yt{constructor(){this.name=Q.KHR_MATERIALS_PBR_SPECULAR_GLOSSINESS,this.specularGlossinessParams=[\\\\\\\"color\\\\\\\",\\\\\\\"map\\\\\\\",\\\\\\\"lightMap\\\\\\\",\\\\\\\"lightMapIntensity\\\\\\\",\\\\\\\"aoMap\\\\\\\",\\\\\\\"aoMapIntensity\\\\\\\",\\\\\\\"emissive\\\\\\\",\\\\\\\"emissiveIntensity\\\\\\\",\\\\\\\"emissiveMap\\\\\\\",\\\\\\\"bumpMap\\\\\\\",\\\\\\\"bumpScale\\\\\\\",\\\\\\\"normalMap\\\\\\\",\\\\\\\"normalMapType\\\\\\\",\\\\\\\"displacementMap\\\\\\\",\\\\\\\"displacementScale\\\\\\\",\\\\\\\"displacementBias\\\\\\\",\\\\\\\"specularMap\\\\\\\",\\\\\\\"specular\\\\\\\",\\\\\\\"glossinessMap\\\\\\\",\\\\\\\"glossiness\\\\\\\",\\\\\\\"alphaMap\\\\\\\",\\\\\\\"envMap\\\\\\\",\\\\\\\"envMapIntensity\\\\\\\",\\\\\\\"refractionRatio\\\\\\\"]}getMaterialType(){return ft}extendParams(t,e,s){const i=e.extensions[this.name];t.color=new u.a(1,1,1),t.opacity=1;const r=[];if(Array.isArray(i.diffuseFactor)){const e=i.diffuseFactor;t.color.fromArray(e),t.opacity=e[3]}if(void 0!==i.diffuseTexture&&r.push(s.assignTexture(t,\\\\\\\"map\\\\\\\",i.diffuseTexture)),t.emissive=new u.a(0,0,0),t.glossiness=void 0!==i.glossinessFactor?i.glossinessFactor:1,t.specular=new u.a(1,1,1),Array.isArray(i.specularFactor)&&t.specular.fromArray(i.specularFactor),void 0!==i.specularGlossinessTexture){const e=i.specularGlossinessTexture;r.push(s.assignTexture(t,\\\\\\\"glossinessMap\\\\\\\",e)),r.push(s.assignTexture(t,\\\\\\\"specularMap\\\\\\\",e))}return Promise.all(r)}createMaterial(t){const e=new ft(t);return e.fog=!0,e.color=t.color,e.map=void 0===t.map?null:t.map,e.lightMap=null,e.lightMapIntensity=1,e.aoMap=void 0===t.aoMap?null:t.aoMap,e.aoMapIntensity=1,e.emissive=t.emissive,e.emissiveIntensity=1,e.emissiveMap=void 0===t.emissiveMap?null:t.emissiveMap,e.bumpMap=void 0===t.bumpMap?null:t.bumpMap,e.bumpScale=1,e.normalMap=void 0===t.normalMap?null:t.normalMap,e.normalMapType=h.Uc,t.normalScale&&(e.normalScale=t.normalScale),e.displacementMap=null,e.displacementScale=1,e.displacementBias=0,e.specularMap=void 0===t.specularMap?null:t.specularMap,e.specular=t.specular,e.glossinessMap=void 0===t.glossinessMap?null:t.glossinessMap,e.glossiness=t.glossiness,e.alphaMap=null,e.envMap=void 0===t.envMap?null:t.envMap,e.envMapIntensity=1,e.refractionRatio=.98,e}}class gt{constructor(){this.name=Q.KHR_MESH_QUANTIZATION}}class xt extends x.a{constructor(t,e,s,i){super(t,e,s,i)}copySampleValue_(t){const e=this.resultBuffer,s=this.sampleValues,i=this.valueSize,r=t*i*3+i;for(let t=0;t!==i;t++)e[t]=s[r+t];return e}}xt.prototype.beforeStart_=xt.prototype.copySampleValue_,xt.prototype.afterEnd_=xt.prototype.copySampleValue_,xt.prototype.interpolate_=function(t,e,s,i){const r=this.resultBuffer,n=this.sampleValues,a=this.valueSize,o=2*a,h=3*a,u=i-e,c=(s-e)/u,l=c*c,d=l*c,p=t*h,m=p-h,f=-2*d+3*l,y=d-l,g=1-f,x=y-l+c;for(let t=0;t!==a;t++){const e=n[m+t+a],s=n[m+t+o]*u,i=n[p+t+a],h=n[p+t]*u;r[t]=g*e+x*s+f*i+y*h}return r};const bt=new V.a;class Mt extends xt{interpolate_(t,e,s,i){const r=super.interpolate_(t,e,s,i);return bt.fromArray(r).normalize().toArray(r),r}}const wt=0,vt=1,_t=2,Tt=3,St=4,At=5,Et=6,zt={5120:Int8Array,5121:Uint8Array,5122:Int16Array,5123:Uint16Array,5125:Uint32Array,5126:Float32Array},Rt={9728:h.ob,9729:h.V,9984:h.sb,9985:h.Z,9986:h.rb,9987:h.Y},It={33071:h.n,33648:h.kb,10497:h.wc},kt={SCALAR:1,VEC2:2,VEC3:3,VEC4:4,MAT2:4,MAT3:9,MAT4:16},Lt={POSITION:\\\\\\\"position\\\\\\\",NORMAL:\\\\\\\"normal\\\\\\\",TANGENT:\\\\\\\"tangent\\\\\\\",TEXCOORD_0:\\\\\\\"uv\\\\\\\",TEXCOORD_1:\\\\\\\"uv2\\\\\\\",COLOR_0:\\\\\\\"color\\\\\\\",WEIGHTS_0:\\\\\\\"skinWeight\\\\\\\",JOINTS_0:\\\\\\\"skinIndex\\\\\\\"},Ot={scale:\\\\\\\"scale\\\\\\\",translation:\\\\\\\"position\\\\\\\",rotation:\\\\\\\"quaternion\\\\\\\",weights:\\\\\\\"morphTargetInfluences\\\\\\\"},Pt={CUBICSPLINE:void 0,LINEAR:h.P,STEP:h.O},Bt=\\\\\\\"OPAQUE\\\\\\\",Nt=\\\\\\\"MASK\\\\\\\",Ct=\\\\\\\"BLEND\\\\\\\";function Ft(t,e){return\\\\\\\"string\\\\\\\"!=typeof t||\\\\\\\"\\\\\\\"===t?\\\\\\\"\\\\\\\":(/^https?:\\\\/\\\\//i.test(e)&&/^\\\\//.test(t)&&(e=e.replace(/(^https?:\\\\/\\\\/[^\\\\/]+).*/i,\\\\\\\"$1\\\\\\\")),/^(https?:)?\\\\/\\\\//i.test(t)||/^data:.*,.*$/i.test(t)||/^blob:.*$/i.test(t)?t:e+t)}function Vt(t,e,s){for(const i in s.extensions)void 0===t[i]&&(e.userData.gltfExtensions=e.userData.gltfExtensions||{},e.userData.gltfExtensions[i]=s.extensions[i])}function Ht(t,e){void 0!==e.extras&&(\\\\\\\"object\\\\\\\"==typeof e.extras?Object.assign(t.userData,e.extras):console.warn(\\\\\\\"THREE.GLTFLoader: Ignoring primitive type .extras, \\\\\\\"+e.extras))}function Ut(t,e){if(t.updateMorphTargets(),void 0!==e.weights)for(let s=0,i=e.weights.length;s{const s=this.associations.get(t);null!=s&&this.associations.set(e,s);for(const[s,i]of t.children.entries())r(i,e.children[s])};return r(s,i),i.name+=\\\\\\\"_instance_\\\\\\\"+t.uses[e]++,i}_invokeOne(t){const e=Object.values(this.plugins);e.push(this);for(let s=0;s=2&&m.setY(e,l[t*n+1]),n>=3&&m.setZ(e,l[t*n+2]),n>=4&&m.setW(e,l[t*n+3]),n>=5)throw new Error(\\\\\\\"THREE.GLTFLoader: Unsupported itemSize in sparse BufferAttribute.\\\\\\\")}}return m}))}loadTexture(t){const e=this.json,s=this.options,i=e.textures[t],r=e.images[i.source];let n=this.textureLoader;if(r.uri){const t=s.manager.getHandler(r.uri);null!==t&&(n=t)}return this.loadTextureImage(t,r,n)}loadTextureImage(t,e,s){const i=this,r=this.json,n=this.options,a=r.textures[t],o=(e.uri||e.bufferView)+\\\\\\\":\\\\\\\"+a.sampler;if(this.textureCache[o])return this.textureCache[o];const u=self.URL||self.webkitURL;let c=e.uri||\\\\\\\"\\\\\\\",l=!1;if(void 0!==e.bufferView)c=i.getDependency(\\\\\\\"bufferView\\\\\\\",e.bufferView).then((function(t){l=!0;const s=new Blob([t],{type:e.mimeType});return c=u.createObjectURL(s),c}));else if(void 0===e.uri)throw new Error(\\\\\\\"THREE.GLTFLoader: Image \\\\\\\"+t+\\\\\\\" is missing URI and bufferView\\\\\\\");const d=Promise.resolve(c).then((function(t){return new Promise((function(e,i){let r=e;!0===s.isImageBitmapLoader&&(r=function(t){const s=new W.a(t);s.needsUpdate=!0,e(s)}),s.load(Ft(t,n.path),r,void 0,i)}))})).then((function(e){!0===l&&u.revokeObjectURL(c),e.flipY=!1,a.name&&(e.name=a.name);const s=(r.samplers||{})[a.sampler]||{};return e.magFilter=Rt[s.magFilter]||h.V,e.minFilter=Rt[s.minFilter]||h.Y,e.wrapS=It[s.wrapS]||h.wc,e.wrapT=It[s.wrapT]||h.wc,i.associations.set(e,{textures:t}),e})).catch((function(){return console.error(\\\\\\\"THREE.GLTFLoader: Couldn't load texture\\\\\\\",c),null}));return this.textureCache[o]=d,d}assignTexture(t,e,s){const i=this;return this.getDependency(\\\\\\\"texture\\\\\\\",s.index).then((function(r){if(void 0===s.texCoord||0==s.texCoord||\\\\\\\"aoMap\\\\\\\"===e&&1==s.texCoord||console.warn(\\\\\\\"THREE.GLTFLoader: Custom UV set 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t=i[Q.KHR_MATERIALS_UNLIT];n=t.getMaterialType(),c.push(t.extendParams(a,r,e))}else{const s=r.pbrMetallicRoughness||{};if(a.color=new u.a(1,1,1),a.opacity=1,Array.isArray(s.baseColorFactor)){const t=s.baseColorFactor;a.color.fromArray(t),a.opacity=t[3]}void 0!==s.baseColorTexture&&c.push(e.assignTexture(a,\\\\\\\"map\\\\\\\",s.baseColorTexture)),a.metalness=void 0!==s.metallicFactor?s.metallicFactor:1,a.roughness=void 0!==s.roughnessFactor?s.roughnessFactor:1,void 0!==s.metallicRoughnessTexture&&(c.push(e.assignTexture(a,\\\\\\\"metalnessMap\\\\\\\",s.metallicRoughnessTexture)),c.push(e.assignTexture(a,\\\\\\\"roughnessMap\\\\\\\",s.metallicRoughnessTexture))),n=this._invokeOne((function(e){return e.getMaterialType&&e.getMaterialType(t)})),c.push(Promise.all(this._invokeAll((function(e){return e.extendMaterialParams&&e.extendMaterialParams(t,a)}))))}!0===r.doubleSided&&(a.side=h.z);const l=r.alphaMode||Bt;if(l===Ct?(a.transparent=!0,a.depthWrite=!1):(a.format=h.ic,a.transparent=!1,l===Nt&&(a.alphaTest=void 0!==r.alphaCutoff?r.alphaCutoff:.5)),void 0!==r.normalTexture&&n!==z.a&&(c.push(e.assignTexture(a,\\\\\\\"normalMap\\\\\\\",r.normalTexture)),a.normalScale=new X.a(1,1),void 0!==r.normalTexture.scale)){const t=r.normalTexture.scale;a.normalScale.set(t,t)}return void 0!==r.occlusionTexture&&n!==z.a&&(c.push(e.assignTexture(a,\\\\\\\"aoMap\\\\\\\",r.occlusionTexture)),void 0!==r.occlusionTexture.strength&&(a.aoMapIntensity=r.occlusionTexture.strength)),void 0!==r.emissiveFactor&&n!==z.a&&(a.emissive=(new u.a).fromArray(r.emissiveFactor)),void 0!==r.emissiveTexture&&n!==z.a&&c.push(e.assignTexture(a,\\\\\\\"emissiveMap\\\\\\\",r.emissiveTexture)),Promise.all(c).then((function(){let s;return s=n===ft?i[Q.KHR_MATERIALS_PBR_SPECULAR_GLOSSINESS].createMaterial(a):new 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t.array.constructor(t.array),this.itemSize=t.itemSize,this.count=t.count,this.normalized=t.normalized,this.usage=t.usage,this}copyAt(t,e,n){t*=this.itemSize,n*=e.itemSize;for(let i=0,s=this.itemSize;i0&&console.error(\\\\\\\"THREE.Matrix4: the constructor no longer reads arguments. use .set() instead.\\\\\\\")}set(t,e,n,i,s,r,o,a,l,c,h,u,d,p,_,m){const f=this.elements;return f[0]=t,f[4]=e,f[8]=n,f[12]=i,f[1]=s,f[5]=r,f[9]=o,f[13]=a,f[2]=l,f[6]=c,f[10]=h,f[14]=u,f[3]=d,f[7]=p,f[11]=_,f[15]=m,this}identity(){return this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1),this}clone(){return(new s).fromArray(this.elements)}copy(t){const e=this.elements,n=t.elements;return e[0]=n[0],e[1]=n[1],e[2]=n[2],e[3]=n[3],e[4]=n[4],e[5]=n[5],e[6]=n[6],e[7]=n[7],e[8]=n[8],e[9]=n[9],e[10]=n[10],e[11]=n[11],e[12]=n[12],e[13]=n[13],e[14]=n[14],e[15]=n[15],this}copyPosition(t){const e=this.elements,n=t.elements;return e[12]=n[12],e[13]=n[13],e[14]=n[14],this}setFromMatrix3(t){const e=t.elements;return 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t=r*c,n=r*h,i=o*c,s=o*h;e[0]=a*c,e[4]=-a*h,e[8]=l,e[1]=n+i*l,e[5]=t-s*l,e[9]=-o*a,e[2]=s-t*l,e[6]=i+n*l,e[10]=r*a}else if(\\\\\\\"YXZ\\\\\\\"===t.order){const t=a*c,n=a*h,i=l*c,s=l*h;e[0]=t+s*o,e[4]=i*o-n,e[8]=r*l,e[1]=r*h,e[5]=r*c,e[9]=-o,e[2]=n*o-i,e[6]=s+t*o,e[10]=r*a}else if(\\\\\\\"ZXY\\\\\\\"===t.order){const t=a*c,n=a*h,i=l*c,s=l*h;e[0]=t-s*o,e[4]=-r*h,e[8]=i+n*o,e[1]=n+i*o,e[5]=r*c,e[9]=s-t*o,e[2]=-r*l,e[6]=o,e[10]=r*a}else if(\\\\\\\"ZYX\\\\\\\"===t.order){const t=r*c,n=r*h,i=o*c,s=o*h;e[0]=a*c,e[4]=i*l-n,e[8]=t*l+s,e[1]=a*h,e[5]=s*l+t,e[9]=n*l-i,e[2]=-l,e[6]=o*a,e[10]=r*a}else if(\\\\\\\"YZX\\\\\\\"===t.order){const t=r*a,n=r*l,i=o*a,s=o*l;e[0]=a*c,e[4]=s-t*h,e[8]=i*h+n,e[1]=h,e[5]=r*c,e[9]=-o*c,e[2]=-l*c,e[6]=n*h+i,e[10]=t-s*h}else if(\\\\\\\"XZY\\\\\\\"===t.order){const t=r*a,n=r*l,i=o*a,s=o*l;e[0]=a*c,e[4]=-h,e[8]=l*c,e[1]=t*h+s,e[5]=r*c,e[9]=n*h-i,e[2]=i*h-n,e[6]=o*c,e[10]=s*h+t}return e[3]=0,e[7]=0,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,this}makeRotationFromQuaternion(t){return this.compose(a,t,l)}lookAt(t,e,n){const i=this.elements;return u.subVectors(t,e),0===u.lengthSq()&&(u.z=1),u.normalize(),c.crossVectors(n,u),0===c.lengthSq()&&(1===Math.abs(n.z)?u.x+=1e-4:u.z+=1e-4,u.normalize(),c.crossVectors(n,u)),c.normalize(),h.crossVectors(u,c),i[0]=c.x,i[4]=h.x,i[8]=u.x,i[1]=c.y,i[5]=h.y,i[9]=u.y,i[2]=c.z,i[6]=h.z,i[10]=u.z,this}multiply(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Matrix4: .multiply() now only accepts one argument. Use .multiplyMatrices( a, b ) instead.\\\\\\\"),this.multiplyMatrices(t,e)):this.multiplyMatrices(this,t)}premultiply(t){return this.multiplyMatrices(t,this)}multiplyMatrices(t,e){const n=t.elements,i=e.elements,s=this.elements,r=n[0],o=n[4],a=n[8],l=n[12],c=n[1],h=n[5],u=n[9],d=n[13],p=n[2],_=n[6],m=n[10],f=n[14],g=n[3],v=n[7],y=n[11],x=n[15],b=i[0],w=i[4],T=i[8],A=i[12],M=i[1],E=i[5],S=i[9],C=i[13],N=i[2],L=i[6],O=i[10],P=i[14],R=i[3],I=i[7],F=i[11],D=i[15];return s[0]=r*b+o*M+a*N+l*R,s[4]=r*w+o*E+a*L+l*I,s[8]=r*T+o*S+a*O+l*F,s[12]=r*A+o*C+a*P+l*D,s[1]=c*b+h*M+u*N+d*R,s[5]=c*w+h*E+u*L+d*I,s[9]=c*T+h*S+u*O+d*F,s[13]=c*A+h*C+u*P+d*D,s[2]=p*b+_*M+m*N+f*R,s[6]=p*w+_*E+m*L+f*I,s[10]=p*T+_*S+m*O+f*F,s[14]=p*A+_*C+m*P+f*D,s[3]=g*b+v*M+y*N+x*R,s[7]=g*w+v*E+y*L+x*I,s[11]=g*T+v*S+y*O+x*F,s[15]=g*A+v*C+y*P+x*D,this}multiplyScalar(t){const e=this.elements;return e[0]*=t,e[4]*=t,e[8]*=t,e[12]*=t,e[1]*=t,e[5]*=t,e[9]*=t,e[13]*=t,e[2]*=t,e[6]*=t,e[10]*=t,e[14]*=t,e[3]*=t,e[7]*=t,e[11]*=t,e[15]*=t,this}determinant(){const t=this.elements,e=t[0],n=t[4],i=t[8],s=t[12],r=t[1],o=t[5],a=t[9],l=t[13],c=t[2],h=t[6],u=t[10],d=t[14];return t[3]*(+s*a*h-i*l*h-s*o*u+n*l*u+i*o*d-n*a*d)+t[7]*(+e*a*d-e*l*u+s*r*u-i*r*d+i*l*c-s*a*c)+t[11]*(+e*l*h-e*o*d-s*r*h+n*r*d+s*o*c-n*l*c)+t[15]*(-i*o*c-e*a*h+e*o*u+i*r*h-n*r*u+n*a*c)}transpose(){const t=this.elements;let e;return e=t[1],t[1]=t[4],t[4]=e,e=t[2],t[2]=t[8],t[8]=e,e=t[6],t[6]=t[9],t[9]=e,e=t[3],t[3]=t[12],t[12]=e,e=t[7],t[7]=t[13],t[13]=e,e=t[11],t[11]=t[14],t[14]=e,this}setPosition(t,e,n){const i=this.elements;return t.isVector3?(i[12]=t.x,i[13]=t.y,i[14]=t.z):(i[12]=t,i[13]=e,i[14]=n),this}invert(){const t=this.elements,e=t[0],n=t[1],i=t[2],s=t[3],r=t[4],o=t[5],a=t[6],l=t[7],c=t[8],h=t[9],u=t[10],d=t[11],p=t[12],_=t[13],m=t[14],f=t[15],g=h*m*l-_*u*l+_*a*d-o*m*d-h*a*f+o*u*f,v=p*u*l-c*m*l-p*a*d+r*m*d+c*a*f-r*u*f,y=c*_*l-p*h*l+p*o*d-r*_*d-c*o*f+r*h*f,x=p*h*a-c*_*a-p*o*u+r*_*u+c*o*m-r*h*m,b=e*g+n*v+i*y+s*x;if(0===b)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);const w=1/b;return t[0]=g*w,t[1]=(_*u*s-h*m*s-_*i*d+n*m*d+h*i*f-n*u*f)*w,t[2]=(o*m*s-_*a*s+_*i*l-n*m*l-o*i*f+n*a*f)*w,t[3]=(h*a*s-o*u*s-h*i*l+n*u*l+o*i*d-n*a*d)*w,t[4]=v*w,t[5]=(c*m*s-p*u*s+p*i*d-e*m*d-c*i*f+e*u*f)*w,t[6]=(p*a*s-r*m*s-p*i*l+e*m*l+r*i*f-e*a*f)*w,t[7]=(r*u*s-c*a*s+c*i*l-e*u*l-r*i*d+e*a*d)*w,t[8]=y*w,t[9]=(p*h*s-c*_*s-p*n*d+e*_*d+c*n*f-e*h*f)*w,t[10]=(r*_*s-p*o*s+p*n*l-e*_*l-r*n*f+e*o*f)*w,t[11]=(c*o*s-r*h*s-c*n*l+e*h*l+r*n*d-e*o*d)*w,t[12]=x*w,t[13]=(c*_*i-p*h*i+p*n*u-e*_*u-c*n*m+e*h*m)*w,t[14]=(p*o*i-r*_*i-p*n*a+e*_*a+r*n*m-e*o*m)*w,t[15]=(r*h*i-c*o*i+c*n*a-e*h*a-r*n*u+e*o*u)*w,this}scale(t){const e=this.elements,n=t.x,i=t.y,s=t.z;return e[0]*=n,e[4]*=i,e[8]*=s,e[1]*=n,e[5]*=i,e[9]*=s,e[2]*=n,e[6]*=i,e[10]*=s,e[3]*=n,e[7]*=i,e[11]*=s,this}getMaxScaleOnAxis(){const t=this.elements,e=t[0]*t[0]+t[1]*t[1]+t[2]*t[2],n=t[4]*t[4]+t[5]*t[5]+t[6]*t[6],i=t[8]*t[8]+t[9]*t[9]+t[10]*t[10];return Math.sqrt(Math.max(e,n,i))}makeTranslation(t,e,n){return this.set(1,0,0,t,0,1,0,e,0,0,1,n,0,0,0,1),this}makeRotationX(t){const e=Math.cos(t),n=Math.sin(t);return this.set(1,0,0,0,0,e,-n,0,0,n,e,0,0,0,0,1),this}makeRotationY(t){const e=Math.cos(t),n=Math.sin(t);return this.set(e,0,n,0,0,1,0,0,-n,0,e,0,0,0,0,1),this}makeRotationZ(t){const e=Math.cos(t),n=Math.sin(t);return this.set(e,-n,0,0,n,e,0,0,0,0,1,0,0,0,0,1),this}makeRotationAxis(t,e){const n=Math.cos(e),i=Math.sin(e),s=1-n,r=t.x,o=t.y,a=t.z,l=s*r,c=s*o;return this.set(l*r+n,l*o-i*a,l*a+i*o,0,l*o+i*a,c*o+n,c*a-i*r,0,l*a-i*o,c*a+i*r,s*a*a+n,0,0,0,0,1),this}makeScale(t,e,n){return this.set(t,0,0,0,0,e,0,0,0,0,n,0,0,0,0,1),this}makeShear(t,e,n,i,s,r){return this.set(1,n,s,0,t,1,r,0,e,i,1,0,0,0,0,1),this}compose(t,e,n){const i=this.elements,s=e._x,r=e._y,o=e._z,a=e._w,l=s+s,c=r+r,h=o+o,u=s*l,d=s*c,p=s*h,_=r*c,m=r*h,f=o*h,g=a*l,v=a*c,y=a*h,x=n.x,b=n.y,w=n.z;return i[0]=(1-(_+f))*x,i[1]=(d+y)*x,i[2]=(p-v)*x,i[3]=0,i[4]=(d-y)*b,i[5]=(1-(u+f))*b,i[6]=(m+g)*b,i[7]=0,i[8]=(p+v)*w,i[9]=(m-g)*w,i[10]=(1-(u+_))*w,i[11]=0,i[12]=t.x,i[13]=t.y,i[14]=t.z,i[15]=1,this}decompose(t,e,n){const i=this.elements;let s=r.set(i[0],i[1],i[2]).length();const a=r.set(i[4],i[5],i[6]).length(),l=r.set(i[8],i[9],i[10]).length();this.determinant()<0&&(s=-s),t.x=i[12],t.y=i[13],t.z=i[14],o.copy(this);const c=1/s,h=1/a,u=1/l;return o.elements[0]*=c,o.elements[1]*=c,o.elements[2]*=c,o.elements[4]*=h,o.elements[5]*=h,o.elements[6]*=h,o.elements[8]*=u,o.elements[9]*=u,o.elements[10]*=u,e.setFromRotationMatrix(o),n.x=s,n.y=a,n.z=l,this}makePerspective(t,e,n,i,s,r){void 0===r&&console.warn(\\\\\\\"THREE.Matrix4: .makePerspective() has been redefined and has a new signature. Please check the docs.\\\\\\\");const o=this.elements,a=2*s/(e-t),l=2*s/(n-i),c=(e+t)/(e-t),h=(n+i)/(n-i),u=-(r+s)/(r-s),d=-2*r*s/(r-s);return o[0]=a,o[4]=0,o[8]=c,o[12]=0,o[1]=0,o[5]=l,o[9]=h,o[13]=0,o[2]=0,o[6]=0,o[10]=u,o[14]=d,o[3]=0,o[7]=0,o[11]=-1,o[15]=0,this}makeOrthographic(t,e,n,i,s,r){const o=this.elements,a=1/(e-t),l=1/(n-i),c=1/(r-s),h=(e+t)*a,u=(n+i)*l,d=(r+s)*c;return o[0]=2*a,o[4]=0,o[8]=0,o[12]=-h,o[1]=0,o[5]=2*l,o[9]=0,o[13]=-u,o[2]=0,o[6]=0,o[10]=-2*c,o[14]=-d,o[3]=0,o[7]=0,o[11]=0,o[15]=1,this}equals(t){const e=this.elements,n=t.elements;for(let t=0;t<16;t++)if(e[t]!==n[t])return!1;return!0}fromArray(t,e=0){for(let n=0;n<16;n++)this.elements[n]=t[n+e];return this}toArray(t=[],e=0){const n=this.elements;return t[e]=n[0],t[e+1]=n[1],t[e+2]=n[2],t[e+3]=n[3],t[e+4]=n[4],t[e+5]=n[5],t[e+6]=n[6],t[e+7]=n[7],t[e+8]=n[8],t[e+9]=n[9],t[e+10]=n[10],t[e+11]=n[11],t[e+12]=n[12],t[e+13]=n[13],t[e+14]=n[14],t[e+15]=n[15],t}}s.prototype.isMatrix4=!0;const r=new i.a,o=new s,a=new i.a(0,0,0),l=new i.a(1,1,1),c=new i.a,h=new i.a,u=new i.a},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return h}));var i=n(3);const s={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},r={h:0,s:0,l:0},o={h:0,s:0,l:0};function a(t,e,n){return n<0&&(n+=1),n>1&&(n-=1),n<1/6?t+6*(e-t)*n:n<.5?e:n<2/3?t+6*(e-t)*(2/3-n):t}function l(t){return t<.04045?.0773993808*t:Math.pow(.9478672986*t+.0521327014,2.4)}function c(t){return t<.0031308?12.92*t:1.055*Math.pow(t,.41666)-.055}class h{constructor(t,e,n){return void 0===e&&void 0===n?this.set(t):this.setRGB(t,e,n)}set(t){return t&&t.isColor?this.copy(t):\\\\\\\"number\\\\\\\"==typeof t?this.setHex(t):\\\\\\\"string\\\\\\\"==typeof t&&this.setStyle(t),this}setScalar(t){return this.r=t,this.g=t,this.b=t,this}setHex(t){return t=Math.floor(t),this.r=(t>>16&255)/255,this.g=(t>>8&255)/255,this.b=(255&t)/255,this}setRGB(t,e,n){return this.r=t,this.g=e,this.b=n,this}setHSL(t,e,n){if(t=i.f(t,1),e=i.d(e,0,1),n=i.d(n,0,1),0===e)this.r=this.g=this.b=n;else{const i=n<=.5?n*(1+e):n+e-n*e,s=2*n-i;this.r=a(s,i,t+1/3),this.g=a(s,i,t),this.b=a(s,i,t-1/3)}return this}setStyle(t){function e(e){void 0!==e&&parseFloat(e)<1&&console.warn(\\\\\\\"THREE.Color: Alpha component of \\\\\\\"+t+\\\\\\\" will be ignored.\\\\\\\")}let n;if(n=/^((?:rgb|hsl)a?)\\\\(([^\\\\)]*)\\\\)/.exec(t)){let t;const i=n[1],s=n[2];switch(i){case\\\\\\\"rgb\\\\\\\":case\\\\\\\"rgba\\\\\\\":if(t=/^\\\\s*(\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(s))return this.r=Math.min(255,parseInt(t[1],10))/255,this.g=Math.min(255,parseInt(t[2],10))/255,this.b=Math.min(255,parseInt(t[3],10))/255,e(t[4]),this;if(t=/^\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(s))return this.r=Math.min(100,parseInt(t[1],10))/100,this.g=Math.min(100,parseInt(t[2],10))/100,this.b=Math.min(100,parseInt(t[3],10))/100,e(t[4]),this;break;case\\\\\\\"hsl\\\\\\\":case\\\\\\\"hsla\\\\\\\":if(t=/^\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(s)){const n=parseFloat(t[1])/360,i=parseInt(t[2],10)/100,s=parseInt(t[3],10)/100;return e(t[4]),this.setHSL(n,i,s)}}}else if(n=/^\\\\#([A-Fa-f\\\\d]+)$/.exec(t)){const t=n[1],e=t.length;if(3===e)return this.r=parseInt(t.charAt(0)+t.charAt(0),16)/255,this.g=parseInt(t.charAt(1)+t.charAt(1),16)/255,this.b=parseInt(t.charAt(2)+t.charAt(2),16)/255,this;if(6===e)return this.r=parseInt(t.charAt(0)+t.charAt(1),16)/255,this.g=parseInt(t.charAt(2)+t.charAt(3),16)/255,this.b=parseInt(t.charAt(4)+t.charAt(5),16)/255,this}return t&&t.length>0?this.setColorName(t):this}setColorName(t){const e=s[t.toLowerCase()];return void 0!==e?this.setHex(e):console.warn(\\\\\\\"THREE.Color: Unknown color \\\\\\\"+t),this}clone(){return new this.constructor(this.r,this.g,this.b)}copy(t){return this.r=t.r,this.g=t.g,this.b=t.b,this}copyGammaToLinear(t,e=2){return this.r=Math.pow(t.r,e),this.g=Math.pow(t.g,e),this.b=Math.pow(t.b,e),this}copyLinearToGamma(t,e=2){const n=e>0?1/e:1;return this.r=Math.pow(t.r,n),this.g=Math.pow(t.g,n),this.b=Math.pow(t.b,n),this}convertGammaToLinear(t){return this.copyGammaToLinear(this,t),this}convertLinearToGamma(t){return this.copyLinearToGamma(this,t),this}copySRGBToLinear(t){return this.r=l(t.r),this.g=l(t.g),this.b=l(t.b),this}copyLinearToSRGB(t){return this.r=c(t.r),this.g=c(t.g),this.b=c(t.b),this}convertSRGBToLinear(){return this.copySRGBToLinear(this),this}convertLinearToSRGB(){return this.copyLinearToSRGB(this),this}getHex(){return 255*this.r<<16^255*this.g<<8^255*this.b<<0}getHexString(){return(\\\\\\\"000000\\\\\\\"+this.getHex().toString(16)).slice(-6)}getHSL(t){const e=this.r,n=this.g,i=this.b,s=Math.max(e,n,i),r=Math.min(e,n,i);let o,a;const l=(r+s)/2;if(r===s)o=0,a=0;else{const t=s-r;switch(a=l<=.5?t/(s+r):t/(2-s-r),s){case e:o=(n-i)/t+(n65535?a.i:a.h)(t,1):this.index=t,this}getAttribute(t){return this.attributes[t]}setAttribute(t,e){return this.attributes[t]=e,this}deleteAttribute(t){return delete this.attributes[t],this}hasAttribute(t){return void 0!==this.attributes[t]}addGroup(t,e,n=0){this.groups.push({start:t,count:e,materialIndex:n})}clearGroups(){this.groups=[]}setDrawRange(t,e){this.drawRange.start=t,this.drawRange.count=e}applyMatrix4(t){const e=this.attributes.position;void 0!==e&&(e.applyMatrix4(t),e.needsUpdate=!0);const n=this.attributes.normal;if(void 0!==n){const e=(new u.a).getNormalMatrix(t);n.applyNormalMatrix(e),n.needsUpdate=!0}const i=this.attributes.tangent;return void 0!==i&&(i.transformDirection(t),i.needsUpdate=!0),null!==this.boundingBox&&this.computeBoundingBox(),null!==this.boundingSphere&&this.computeBoundingSphere(),this}applyQuaternion(t){return m.makeRotationFromQuaternion(t),this.applyMatrix4(m),this}rotateX(t){return m.makeRotationX(t),this.applyMatrix4(m),this}rotateY(t){return m.makeRotationY(t),this.applyMatrix4(m),this}rotateZ(t){return m.makeRotationZ(t),this.applyMatrix4(m),this}translate(t,e,n){return m.makeTranslation(t,e,n),this.applyMatrix4(m),this}scale(t,e,n){return m.makeScale(t,e,n),this.applyMatrix4(m),this}lookAt(t){return f.lookAt(t),f.updateMatrix(),this.applyMatrix4(f.matrix),this}center(){return this.computeBoundingBox(),this.boundingBox.getCenter(g).negate(),this.translate(g.x,g.y,g.z),this}setFromPoints(t){const e=[];for(let n=0,i=t.length;n0&&(t.userData=this.userData),void 0!==this.parameters){const e=this.parameters;for(const n in e)void 0!==e[n]&&(t[n]=e[n]);return t}t.data={attributes:{}};const e=this.index;null!==e&&(t.data.index={type:e.array.constructor.name,array:Array.prototype.slice.call(e.array)});const n=this.attributes;for(const e in n){const i=n[e];t.data.attributes[e]=i.toJSON(t.data)}const i={};let s=!1;for(const e in this.morphAttributes){const n=this.morphAttributes[e],r=[];for(let e=0,i=n.length;e0&&(i[e]=r,s=!0)}s&&(t.data.morphAttributes=i,t.data.morphTargetsRelative=this.morphTargetsRelative);const r=this.groups;r.length>0&&(t.data.groups=JSON.parse(JSON.stringify(r)));const o=this.boundingSphere;return null!==o&&(t.data.boundingSphere={center:o.center.toArray(),radius:o.radius}),t}clone(){return(new this.constructor).copy(this)}copy(t){this.index=null,this.attributes={},this.morphAttributes={},this.groups=[],this.boundingBox=null,this.boundingSphere=null;const e={};this.name=t.name;const n=t.index;null!==n&&this.setIndex(n.clone(e));const i=t.attributes;for(const t in i){const n=i[t];this.setAttribute(t,n.clone(e))}const s=t.morphAttributes;for(const t in s){const n=[],i=s[t];for(let t=0,s=i.length;t=0?1:-1,i=1-e*e;if(i>Number.EPSILON){const s=Math.sqrt(i),r=Math.atan2(s,e*n);t=Math.sin(t*r)/s,o=Math.sin(o*r)/s}const s=o*n;if(a=a*t+u*s,l=l*t+d*s,c=c*t+p*s,h=h*t+_*s,t===1-o){const t=1/Math.sqrt(a*a+l*l+c*c+h*h);a*=t,l*=t,c*=t,h*=t}}t[e]=a,t[e+1]=l,t[e+2]=c,t[e+3]=h}static multiplyQuaternionsFlat(t,e,n,i,s,r){const o=n[i],a=n[i+1],l=n[i+2],c=n[i+3],h=s[r],u=s[r+1],d=s[r+2],p=s[r+3];return t[e]=o*p+c*h+a*d-l*u,t[e+1]=a*p+c*u+l*h-o*d,t[e+2]=l*p+c*d+o*u-a*h,t[e+3]=c*p-o*h-a*u-l*d,t}get x(){return this._x}set x(t){this._x=t,this._onChangeCallback()}get y(){return this._y}set y(t){this._y=t,this._onChangeCallback()}get z(){return this._z}set z(t){this._z=t,this._onChangeCallback()}get w(){return this._w}set w(t){this._w=t,this._onChangeCallback()}set(t,e,n,i){return this._x=t,this._y=e,this._z=n,this._w=i,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._w)}copy(t){return this._x=t.x,this._y=t.y,this._z=t.z,this._w=t.w,this._onChangeCallback(),this}setFromEuler(t,e){if(!t||!t.isEuler)throw new Error(\\\\\\\"THREE.Quaternion: .setFromEuler() now expects an Euler rotation rather than a Vector3 and order.\\\\\\\");const n=t._x,i=t._y,s=t._z,r=t._order,o=Math.cos,a=Math.sin,l=o(n/2),c=o(i/2),h=o(s/2),u=a(n/2),d=a(i/2),p=a(s/2);switch(r){case\\\\\\\"XYZ\\\\\\\":this._x=u*c*h+l*d*p,this._y=l*d*h-u*c*p,this._z=l*c*p+u*d*h,this._w=l*c*h-u*d*p;break;case\\\\\\\"YXZ\\\\\\\":this._x=u*c*h+l*d*p,this._y=l*d*h-u*c*p,this._z=l*c*p-u*d*h,this._w=l*c*h+u*d*p;break;case\\\\\\\"ZXY\\\\\\\":this._x=u*c*h-l*d*p,this._y=l*d*h+u*c*p,this._z=l*c*p+u*d*h,this._w=l*c*h-u*d*p;break;case\\\\\\\"ZYX\\\\\\\":this._x=u*c*h-l*d*p,this._y=l*d*h+u*c*p,this._z=l*c*p-u*d*h,this._w=l*c*h+u*d*p;break;case\\\\\\\"YZX\\\\\\\":this._x=u*c*h+l*d*p,this._y=l*d*h+u*c*p,this._z=l*c*p-u*d*h,this._w=l*c*h-u*d*p;break;case\\\\\\\"XZY\\\\\\\":this._x=u*c*h-l*d*p,this._y=l*d*h-u*c*p,this._z=l*c*p+u*d*h,this._w=l*c*h+u*d*p;break;default:console.warn(\\\\\\\"THREE.Quaternion: .setFromEuler() encountered an unknown order: \\\\\\\"+r)}return!1!==e&&this._onChangeCallback(),this}setFromAxisAngle(t,e){const n=e/2,i=Math.sin(n);return this._x=t.x*i,this._y=t.y*i,this._z=t.z*i,this._w=Math.cos(n),this._onChangeCallback(),this}setFromRotationMatrix(t){const e=t.elements,n=e[0],i=e[4],s=e[8],r=e[1],o=e[5],a=e[9],l=e[2],c=e[6],h=e[10],u=n+o+h;if(u>0){const t=.5/Math.sqrt(u+1);this._w=.25/t,this._x=(c-a)*t,this._y=(s-l)*t,this._z=(r-i)*t}else if(n>o&&n>h){const t=2*Math.sqrt(1+n-o-h);this._w=(c-a)/t,this._x=.25*t,this._y=(i+r)/t,this._z=(s+l)/t}else if(o>h){const t=2*Math.sqrt(1+o-n-h);this._w=(s-l)/t,this._x=(i+r)/t,this._y=.25*t,this._z=(a+c)/t}else{const t=2*Math.sqrt(1+h-n-o);this._w=(r-i)/t,this._x=(s+l)/t,this._y=(a+c)/t,this._z=.25*t}return this._onChangeCallback(),this}setFromUnitVectors(t,e){let n=t.dot(e)+1;return nMath.abs(t.z)?(this._x=-t.y,this._y=t.x,this._z=0,this._w=n):(this._x=0,this._y=-t.z,this._z=t.y,this._w=n)):(this._x=t.y*e.z-t.z*e.y,this._y=t.z*e.x-t.x*e.z,this._z=t.x*e.y-t.y*e.x,this._w=n),this.normalize()}angleTo(t){return 2*Math.acos(Math.abs(i.d(this.dot(t),-1,1)))}rotateTowards(t,e){const n=this.angleTo(t);if(0===n)return this;const i=Math.min(1,e/n);return this.slerp(t,i),this}identity(){return this.set(0,0,0,1)}invert(){return this.conjugate()}conjugate(){return this._x*=-1,this._y*=-1,this._z*=-1,this._onChangeCallback(),this}dot(t){return this._x*t._x+this._y*t._y+this._z*t._z+this._w*t._w}lengthSq(){return this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w}length(){return Math.sqrt(this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w)}normalize(){let t=this.length();return 0===t?(this._x=0,this._y=0,this._z=0,this._w=1):(t=1/t,this._x=this._x*t,this._y=this._y*t,this._z=this._z*t,this._w=this._w*t),this._onChangeCallback(),this}multiply(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Quaternion: .multiply() now only accepts one argument. Use .multiplyQuaternions( a, b ) instead.\\\\\\\"),this.multiplyQuaternions(t,e)):this.multiplyQuaternions(this,t)}premultiply(t){return this.multiplyQuaternions(t,this)}multiplyQuaternions(t,e){const n=t._x,i=t._y,s=t._z,r=t._w,o=e._x,a=e._y,l=e._z,c=e._w;return this._x=n*c+r*o+i*l-s*a,this._y=i*c+r*a+s*o-n*l,this._z=s*c+r*l+n*a-i*o,this._w=r*c-n*o-i*a-s*l,this._onChangeCallback(),this}slerp(t,e){if(0===e)return this;if(1===e)return this.copy(t);const n=this._x,i=this._y,s=this._z,r=this._w;let o=r*t._w+n*t._x+i*t._y+s*t._z;if(o<0?(this._w=-t._w,this._x=-t._x,this._y=-t._y,this._z=-t._z,o=-o):this.copy(t),o>=1)return this._w=r,this._x=n,this._y=i,this._z=s,this;const a=1-o*o;if(a<=Number.EPSILON){const t=1-e;return this._w=t*r+e*this._w,this._x=t*n+e*this._x,this._y=t*i+e*this._y,this._z=t*s+e*this._z,this.normalize(),this._onChangeCallback(),this}const l=Math.sqrt(a),c=Math.atan2(l,o),h=Math.sin((1-e)*c)/l,u=Math.sin(e*c)/l;return this._w=r*h+this._w*u,this._x=n*h+this._x*u,this._y=i*h+this._y*u,this._z=s*h+this._z*u,this._onChangeCallback(),this}slerpQuaternions(t,e,n){this.copy(t).slerp(e,n)}random(){const t=Math.random(),e=Math.sqrt(1-t),n=Math.sqrt(t),i=2*Math.PI*Math.random(),s=2*Math.PI*Math.random();return this.set(e*Math.cos(i),n*Math.sin(s),n*Math.cos(s),e*Math.sin(i))}equals(t){return t._x===this._x&&t._y===this._y&&t._z===this._z&&t._w===this._w}fromArray(t,e=0){return this._x=t[e],this._y=t[e+1],this._z=t[e+2],this._w=t[e+3],this._onChangeCallback(),this}toArray(t=[],e=0){return t[e]=this._x,t[e+1]=this._y,t[e+2]=this._z,t[e+3]=this._w,t}fromBufferAttribute(t,e){return this._x=t.getX(e),this._y=t.getY(e),this._z=t.getZ(e),this._w=t.getW(e),this}_onChange(t){return this._onChangeCallback=t,this}_onChangeCallback(){}}s.prototype.isQuaternion=!0},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return i}));class i{constructor(t=0,e=0,n=0,i=1){this.x=t,this.y=e,this.z=n,this.w=i}get width(){return this.z}set width(t){this.z=t}get height(){return this.w}set height(t){this.w=t}set(t,e,n,i){return this.x=t,this.y=e,this.z=n,this.w=i,this}setScalar(t){return this.x=t,this.y=t,this.z=t,this.w=t,this}setX(t){return this.x=t,this}setY(t){return this.y=t,this}setZ(t){return this.z=t,this}setW(t){return this.w=t,this}setComponent(t,e){switch(t){case 0:this.x=e;break;case 1:this.y=e;break;case 2:this.z=e;break;case 3:this.w=e;break;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}return this}getComponent(t){switch(t){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}}clone(){return new this.constructor(this.x,this.y,this.z,this.w)}copy(t){return this.x=t.x,this.y=t.y,this.z=t.z,this.w=void 0!==t.w?t.w:1,this}add(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector4: .add() now only accepts one argument. Use .addVectors( a, b ) instead.\\\\\\\"),this.addVectors(t,e)):(this.x+=t.x,this.y+=t.y,this.z+=t.z,this.w+=t.w,this)}addScalar(t){return this.x+=t,this.y+=t,this.z+=t,this.w+=t,this}addVectors(t,e){return this.x=t.x+e.x,this.y=t.y+e.y,this.z=t.z+e.z,this.w=t.w+e.w,this}addScaledVector(t,e){return this.x+=t.x*e,this.y+=t.y*e,this.z+=t.z*e,this.w+=t.w*e,this}sub(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector4: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.\\\\\\\"),this.subVectors(t,e)):(this.x-=t.x,this.y-=t.y,this.z-=t.z,this.w-=t.w,this)}subScalar(t){return this.x-=t,this.y-=t,this.z-=t,this.w-=t,this}subVectors(t,e){return this.x=t.x-e.x,this.y=t.y-e.y,this.z=t.z-e.z,this.w=t.w-e.w,this}multiply(t){return this.x*=t.x,this.y*=t.y,this.z*=t.z,this.w*=t.w,this}multiplyScalar(t){return this.x*=t,this.y*=t,this.z*=t,this.w*=t,this}applyMatrix4(t){const e=this.x,n=this.y,i=this.z,s=this.w,r=t.elements;return this.x=r[0]*e+r[4]*n+r[8]*i+r[12]*s,this.y=r[1]*e+r[5]*n+r[9]*i+r[13]*s,this.z=r[2]*e+r[6]*n+r[10]*i+r[14]*s,this.w=r[3]*e+r[7]*n+r[11]*i+r[15]*s,this}divideScalar(t){return this.multiplyScalar(1/t)}setAxisAngleFromQuaternion(t){this.w=2*Math.acos(t.w);const e=Math.sqrt(1-t.w*t.w);return e<1e-4?(this.x=1,this.y=0,this.z=0):(this.x=t.x/e,this.y=t.y/e,this.z=t.z/e),this}setAxisAngleFromRotationMatrix(t){let e,n,i,s;const r=.01,o=.1,a=t.elements,l=a[0],c=a[4],h=a[8],u=a[1],d=a[5],p=a[9],_=a[2],m=a[6],f=a[10];if(Math.abs(c-u)a&&t>g?tg?a1){for(let t=0;t1){for(let t=0;t0){i.children=[];for(let e=0;e0){i.animations=[];for(let e=0;e0&&(n.geometries=e),i.length>0&&(n.materials=i),s.length>0&&(n.textures=s),o.length>0&&(n.images=o),a.length>0&&(n.shapes=a),l.length>0&&(n.skeletons=l),c.length>0&&(n.animations=c)}return n.object=i,n;function r(t){const e=[];for(const n in t){const i=t[n];delete i.metadata,e.push(i)}return e}}clone(t){return(new this.constructor).copy(this,t)}copy(t,e=!0){if(this.name=t.name,this.up.copy(t.up),this.position.copy(t.position),this.rotation.order=t.rotation.order,this.quaternion.copy(t.quaternion),this.scale.copy(t.scale),this.matrix.copy(t.matrix),this.matrixWorld.copy(t.matrixWorld),this.matrixAutoUpdate=t.matrixAutoUpdate,this.matrixWorldNeedsUpdate=t.matrixWorldNeedsUpdate,this.layers.mask=t.layers.mask,this.visible=t.visible,this.castShadow=t.castShadow,this.receiveShadow=t.receiveShadow,this.frustumCulled=t.frustumCulled,this.renderOrder=t.renderOrder,this.userData=JSON.parse(JSON.stringify(t.userData)),!0===e)for(let e=0;e0&&console.error(\\\\\\\"THREE.Matrix3: the constructor no longer reads arguments. use .set() instead.\\\\\\\")}set(t,e,n,i,s,r,o,a,l){const c=this.elements;return c[0]=t,c[1]=i,c[2]=o,c[3]=e,c[4]=s,c[5]=a,c[6]=n,c[7]=r,c[8]=l,this}identity(){return this.set(1,0,0,0,1,0,0,0,1),this}copy(t){const e=this.elements,n=t.elements;return e[0]=n[0],e[1]=n[1],e[2]=n[2],e[3]=n[3],e[4]=n[4],e[5]=n[5],e[6]=n[6],e[7]=n[7],e[8]=n[8],this}extractBasis(t,e,n){return t.setFromMatrix3Column(this,0),e.setFromMatrix3Column(this,1),n.setFromMatrix3Column(this,2),this}setFromMatrix4(t){const e=t.elements;return this.set(e[0],e[4],e[8],e[1],e[5],e[9],e[2],e[6],e[10]),this}multiply(t){return this.multiplyMatrices(this,t)}premultiply(t){return this.multiplyMatrices(t,this)}multiplyMatrices(t,e){const n=t.elements,i=e.elements,s=this.elements,r=n[0],o=n[3],a=n[6],l=n[1],c=n[4],h=n[7],u=n[2],d=n[5],p=n[8],_=i[0],m=i[3],f=i[6],g=i[1],v=i[4],y=i[7],x=i[2],b=i[5],w=i[8];return s[0]=r*_+o*g+a*x,s[3]=r*m+o*v+a*b,s[6]=r*f+o*y+a*w,s[1]=l*_+c*g+h*x,s[4]=l*m+c*v+h*b,s[7]=l*f+c*y+h*w,s[2]=u*_+d*g+p*x,s[5]=u*m+d*v+p*b,s[8]=u*f+d*y+p*w,this}multiplyScalar(t){const e=this.elements;return e[0]*=t,e[3]*=t,e[6]*=t,e[1]*=t,e[4]*=t,e[7]*=t,e[2]*=t,e[5]*=t,e[8]*=t,this}determinant(){const t=this.elements,e=t[0],n=t[1],i=t[2],s=t[3],r=t[4],o=t[5],a=t[6],l=t[7],c=t[8];return e*r*c-e*o*l-n*s*c+n*o*a+i*s*l-i*r*a}invert(){const t=this.elements,e=t[0],n=t[1],i=t[2],s=t[3],r=t[4],o=t[5],a=t[6],l=t[7],c=t[8],h=c*r-o*l,u=o*a-c*s,d=l*s-r*a,p=e*h+n*u+i*d;if(0===p)return this.set(0,0,0,0,0,0,0,0,0);const _=1/p;return t[0]=h*_,t[1]=(i*l-c*n)*_,t[2]=(o*n-i*r)*_,t[3]=u*_,t[4]=(c*e-i*a)*_,t[5]=(i*s-o*e)*_,t[6]=d*_,t[7]=(n*a-l*e)*_,t[8]=(r*e-n*s)*_,this}transpose(){let t;const e=this.elements;return t=e[1],e[1]=e[3],e[3]=t,t=e[2],e[2]=e[6],e[6]=t,t=e[5],e[5]=e[7],e[7]=t,this}getNormalMatrix(t){return this.setFromMatrix4(t).invert().transpose()}transposeIntoArray(t){const e=this.elements;return t[0]=e[0],t[1]=e[3],t[2]=e[6],t[3]=e[1],t[4]=e[4],t[5]=e[7],t[6]=e[2],t[7]=e[5],t[8]=e[8],this}setUvTransform(t,e,n,i,s,r,o){const a=Math.cos(s),l=Math.sin(s);return this.set(n*a,n*l,-n*(a*r+l*o)+r+t,-i*l,i*a,-i*(-l*r+a*o)+o+e,0,0,1),this}scale(t,e){const n=this.elements;return n[0]*=t,n[3]*=t,n[6]*=t,n[1]*=e,n[4]*=e,n[7]*=e,this}rotate(t){const e=Math.cos(t),n=Math.sin(t),i=this.elements,s=i[0],r=i[3],o=i[6],a=i[1],l=i[4],c=i[7];return i[0]=e*s+n*a,i[3]=e*r+n*l,i[6]=e*o+n*c,i[1]=-n*s+e*a,i[4]=-n*r+e*l,i[7]=-n*o+e*c,this}translate(t,e){const n=this.elements;return n[0]+=t*n[2],n[3]+=t*n[5],n[6]+=t*n[8],n[1]+=e*n[2],n[4]+=e*n[5],n[7]+=e*n[8],this}equals(t){const e=this.elements,n=t.elements;for(let t=0;t<9;t++)if(e[t]!==n[t])return!1;return!0}fromArray(t,e=0){for(let n=0;n<9;n++)this.elements[n]=t[n+e];return this}toArray(t=[],e=0){const n=this.elements;return t[e]=n[0],t[e+1]=n[1],t[e+2]=n[2],t[e+3]=n[3],t[e+4]=n[4],t[e+5]=n[5],t[e+6]=n[6],t[e+7]=n[7],t[e+8]=n[8],t}clone(){return(new this.constructor).fromArray(this.elements)}}i.prototype.isMatrix3=!0},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return a}));var i=n(15),s=n(1),r=n(3);let o=0;class a extends i.a{constructor(){super(),Object.defineProperty(this,\\\\\\\"id\\\\\\\",{value:o++}),this.uuid=r.h(),this.name=\\\\\\\"\\\\\\\",this.type=\\\\\\\"Material\\\\\\\",this.fog=!0,this.blending=s.xb,this.side=s.H,this.vertexColors=!1,this.opacity=1,this.format=s.Ib,this.transparent=!1,this.blendSrc=s.Nc,this.blendDst=s.Db,this.blendEquation=s.b,this.blendSrcAlpha=null,this.blendDstAlpha=null,this.blendEquationAlpha=null,this.depthFunc=s.T,this.depthTest=!0,this.depthWrite=!0,this.stencilWriteMask=255,this.stencilFunc=s.h,this.stencilRef=0,this.stencilFuncMask=255,this.stencilFail=s.R,this.stencilZFail=s.R,this.stencilZPass=s.R,this.stencilWrite=!1,this.clippingPlanes=null,this.clipIntersection=!1,this.clipShadows=!1,this.shadowSide=null,this.colorWrite=!0,this.precision=null,this.polygonOffset=!1,this.polygonOffsetFactor=0,this.polygonOffsetUnits=0,this.dithering=!1,this.alphaToCoverage=!1,this.premultipliedAlpha=!1,this.visible=!0,this.toneMapped=!0,this.userData={},this.version=0,this._alphaTest=0}get alphaTest(){return this._alphaTest}set alphaTest(t){this._alphaTest>0!=t>0&&this.version++,this._alphaTest=t}onBuild(){}onBeforeRender(){}onBeforeCompile(){}customProgramCacheKey(){return this.onBeforeCompile.toString()}setValues(t){if(void 0!==t)for(const e in t){const n=t[e];if(void 0===n){console.warn(\\\\\\\"THREE.Material: '\\\\\\\"+e+\\\\\\\"' parameter is undefined.\\\\\\\");continue}if(\\\\\\\"shading\\\\\\\"===e){console.warn(\\\\\\\"THREE.\\\\\\\"+this.type+\\\\\\\": .shading has been removed. Use the boolean .flatShading instead.\\\\\\\"),this.flatShading=n===s.F;continue}const i=this[e];void 0!==i?i&&i.isColor?i.set(n):i&&i.isVector3&&n&&n.isVector3?i.copy(n):this[e]=n:console.warn(\\\\\\\"THREE.\\\\\\\"+this.type+\\\\\\\": '\\\\\\\"+e+\\\\\\\"' is not a property of this material.\\\\\\\")}}toJSON(t){const e=void 0===t||\\\\\\\"string\\\\\\\"==typeof t;e&&(t={textures:{},images:{}});const n={metadata:{version:4.5,type:\\\\\\\"Material\\\\\\\",generator:\\\\\\\"Material.toJSON\\\\\\\"}};function i(t){const e=[];for(const n in t){const i=t[n];delete i.metadata,e.push(i)}return e}if(n.uuid=this.uuid,n.type=this.type,\\\\\\\"\\\\\\\"!==this.name&&(n.name=this.name),this.color&&this.color.isColor&&(n.color=this.color.getHex()),void 0!==this.roughness&&(n.roughness=this.roughness),void 0!==this.metalness&&(n.metalness=this.metalness),void 0!==this.sheen&&(n.sheen=this.sheen),this.sheenTint&&this.sheenTint.isColor&&(n.sheenTint=this.sheenTint.getHex()),void 0!==this.sheenRoughness&&(n.sheenRoughness=this.sheenRoughness),this.emissive&&this.emissive.isColor&&(n.emissive=this.emissive.getHex()),this.emissiveIntensity&&1!==this.emissiveIntensity&&(n.emissiveIntensity=this.emissiveIntensity),this.specular&&this.specular.isColor&&(n.specular=this.specular.getHex()),void 0!==this.specularIntensity&&(n.specularIntensity=this.specularIntensity),this.specularTint&&this.specularTint.isColor&&(n.specularTint=this.specularTint.getHex()),void 0!==this.shininess&&(n.shininess=this.shininess),void 0!==this.clearcoat&&(n.clearcoat=this.clearcoat),void 0!==this.clearcoatRoughness&&(n.clearcoatRoughness=this.clearcoatRoughness),this.clearcoatMap&&this.clearcoatMap.isTexture&&(n.clearcoatMap=this.clearcoatMap.toJSON(t).uuid),this.clearcoatRoughnessMap&&this.clearcoatRoughnessMap.isTexture&&(n.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(t).uuid),this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(n.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(t).uuid,n.clearcoatNormalScale=this.clearcoatNormalScale.toArray()),this.map&&this.map.isTexture&&(n.map=this.map.toJSON(t).uuid),this.matcap&&this.matcap.isTexture&&(n.matcap=this.matcap.toJSON(t).uuid),this.alphaMap&&this.alphaMap.isTexture&&(n.alphaMap=this.alphaMap.toJSON(t).uuid),this.lightMap&&this.lightMap.isTexture&&(n.lightMap=this.lightMap.toJSON(t).uuid,n.lightMapIntensity=this.lightMapIntensity),this.aoMap&&this.aoMap.isTexture&&(n.aoMap=this.aoMap.toJSON(t).uuid,n.aoMapIntensity=this.aoMapIntensity),this.bumpMap&&this.bumpMap.isTexture&&(n.bumpMap=this.bumpMap.toJSON(t).uuid,n.bumpScale=this.bumpScale),this.normalMap&&this.normalMap.isTexture&&(n.normalMap=this.normalMap.toJSON(t).uuid,n.normalMapType=this.normalMapType,n.normalScale=this.normalScale.toArray()),this.displacementMap&&this.displacementMap.isTexture&&(n.displacementMap=this.displacementMap.toJSON(t).uuid,n.displacementScale=this.displacementScale,n.displacementBias=this.displacementBias),this.roughnessMap&&this.roughnessMap.isTexture&&(n.roughnessMap=this.roughnessMap.toJSON(t).uuid),this.metalnessMap&&this.metalnessMap.isTexture&&(n.metalnessMap=this.metalnessMap.toJSON(t).uuid),this.emissiveMap&&this.emissiveMap.isTexture&&(n.emissiveMap=this.emissiveMap.toJSON(t).uuid),this.specularMap&&this.specularMap.isTexture&&(n.specularMap=this.specularMap.toJSON(t).uuid),this.specularIntensityMap&&this.specularIntensityMap.isTexture&&(n.specularIntensityMap=this.specularIntensityMap.toJSON(t).uuid),this.specularTintMap&&this.specularTintMap.isTexture&&(n.specularTintMap=this.specularTintMap.toJSON(t).uuid),this.envMap&&this.envMap.isTexture&&(n.envMap=this.envMap.toJSON(t).uuid,void 0!==this.combine&&(n.combine=this.combine)),void 0!==this.envMapIntensity&&(n.envMapIntensity=this.envMapIntensity),void 0!==this.reflectivity&&(n.reflectivity=this.reflectivity),void 0!==this.refractionRatio&&(n.refractionRatio=this.refractionRatio),this.gradientMap&&this.gradientMap.isTexture&&(n.gradientMap=this.gradientMap.toJSON(t).uuid),void 0!==this.transmission&&(n.transmission=this.transmission),this.transmissionMap&&this.transmissionMap.isTexture&&(n.transmissionMap=this.transmissionMap.toJSON(t).uuid),void 0!==this.thickness&&(n.thickness=this.thickness),this.thicknessMap&&this.thicknessMap.isTexture&&(n.thicknessMap=this.thicknessMap.toJSON(t).uuid),void 0!==this.attenuationDistance&&(n.attenuationDistance=this.attenuationDistance),void 0!==this.attenuationTint&&(n.attenuationTint=this.attenuationTint.getHex()),void 0!==this.size&&(n.size=this.size),null!==this.shadowSide&&(n.shadowSide=this.shadowSide),void 0!==this.sizeAttenuation&&(n.sizeAttenuation=this.sizeAttenuation),this.blending!==s.xb&&(n.blending=this.blending),this.side!==s.H&&(n.side=this.side),this.vertexColors&&(n.vertexColors=!0),this.opacity<1&&(n.opacity=this.opacity),this.format!==s.Ib&&(n.format=this.format),!0===this.transparent&&(n.transparent=this.transparent),n.depthFunc=this.depthFunc,n.depthTest=this.depthTest,n.depthWrite=this.depthWrite,n.colorWrite=this.colorWrite,n.stencilWrite=this.stencilWrite,n.stencilWriteMask=this.stencilWriteMask,n.stencilFunc=this.stencilFunc,n.stencilRef=this.stencilRef,n.stencilFuncMask=this.stencilFuncMask,n.stencilFail=this.stencilFail,n.stencilZFail=this.stencilZFail,n.stencilZPass=this.stencilZPass,this.rotation&&0!==this.rotation&&(n.rotation=this.rotation),!0===this.polygonOffset&&(n.polygonOffset=!0),0!==this.polygonOffsetFactor&&(n.polygonOffsetFactor=this.polygonOffsetFactor),0!==this.polygonOffsetUnits&&(n.polygonOffsetUnits=this.polygonOffsetUnits),this.linewidth&&1!==this.linewidth&&(n.linewidth=this.linewidth),void 0!==this.dashSize&&(n.dashSize=this.dashSize),void 0!==this.gapSize&&(n.gapSize=this.gapSize),void 0!==this.scale&&(n.scale=this.scale),!0===this.dithering&&(n.dithering=!0),this.alphaTest>0&&(n.alphaTest=this.alphaTest),!0===this.alphaToCoverage&&(n.alphaToCoverage=this.alphaToCoverage),!0===this.premultipliedAlpha&&(n.premultipliedAlpha=this.premultipliedAlpha),!0===this.wireframe&&(n.wireframe=this.wireframe),this.wireframeLinewidth>1&&(n.wireframeLinewidth=this.wireframeLinewidth),\\\\\\\"round\\\\\\\"!==this.wireframeLinecap&&(n.wireframeLinecap=this.wireframeLinecap),\\\\\\\"round\\\\\\\"!==this.wireframeLinejoin&&(n.wireframeLinejoin=this.wireframeLinejoin),!0===this.flatShading&&(n.flatShading=this.flatShading),!1===this.visible&&(n.visible=!1),!1===this.toneMapped&&(n.toneMapped=!1),\\\\\\\"{}\\\\\\\"!==JSON.stringify(this.userData)&&(n.userData=this.userData),e){const e=i(t.textures),s=i(t.images);e.length>0&&(n.textures=e),s.length>0&&(n.images=s)}return n}clone(){return(new this.constructor).copy(this)}copy(t){this.name=t.name,this.fog=t.fog,this.blending=t.blending,this.side=t.side,this.vertexColors=t.vertexColors,this.opacity=t.opacity,this.format=t.format,this.transparent=t.transparent,this.blendSrc=t.blendSrc,this.blendDst=t.blendDst,this.blendEquation=t.blendEquation,this.blendSrcAlpha=t.blendSrcAlpha,this.blendDstAlpha=t.blendDstAlpha,this.blendEquationAlpha=t.blendEquationAlpha,this.depthFunc=t.depthFunc,this.depthTest=t.depthTest,this.depthWrite=t.depthWrite,this.stencilWriteMask=t.stencilWriteMask,this.stencilFunc=t.stencilFunc,this.stencilRef=t.stencilRef,this.stencilFuncMask=t.stencilFuncMask,this.stencilFail=t.stencilFail,this.stencilZFail=t.stencilZFail,this.stencilZPass=t.stencilZPass,this.stencilWrite=t.stencilWrite;const e=t.clippingPlanes;let n=null;if(null!==e){const t=e.length;n=new Array(t);for(let i=0;i!==t;++i)n[i]=e[i].clone()}return this.clippingPlanes=n,this.clipIntersection=t.clipIntersection,this.clipShadows=t.clipShadows,this.shadowSide=t.shadowSide,this.colorWrite=t.colorWrite,this.precision=t.precision,this.polygonOffset=t.polygonOffset,this.polygonOffsetFactor=t.polygonOffsetFactor,this.polygonOffsetUnits=t.polygonOffsetUnits,this.dithering=t.dithering,this.alphaTest=t.alphaTest,this.alphaToCoverage=t.alphaToCoverage,this.premultipliedAlpha=t.premultipliedAlpha,this.visible=t.visible,this.toneMapped=t.toneMapped,this.userData=JSON.parse(JSON.stringify(t.userData)),this}dispose(){this.dispatchEvent({type:\\\\\\\"dispose\\\\\\\"})}set needsUpdate(t){!0===t&&this.version++}}a.prototype.isMaterial=!0},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return s}));var i=n(28);class s{constructor(t){this.manager=void 0!==t?t:i.a,this.crossOrigin=\\\\\\\"anonymous\\\\\\\",this.withCredentials=!1,this.path=\\\\\\\"\\\\\\\",this.resourcePath=\\\\\\\"\\\\\\\",this.requestHeader={}}load(){}loadAsync(t,e){const n=this;return new Promise((function(i,s){n.load(t,i,e,s)}))}parse(){}setCrossOrigin(t){return this.crossOrigin=t,this}setWithCredentials(t){return this.withCredentials=t,this}setPath(t){return this.path=t,this}setResourcePath(t){return this.resourcePath=t,this}setRequestHeader(t){return this.requestHeader=t,this}}},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return L}));var i=n(0),s=n(2),r=n(18),o=n(39),a=n(5),l=n(10),c=n(40),h=n(1),u=n(29),d=n(7);const p=new a.a,_=new o.a,m=new r.a,f=new i.a,g=new i.a,v=new i.a,y=new i.a,x=new i.a,b=new i.a,w=new i.a,T=new i.a,A=new i.a,M=new s.a,E=new s.a,S=new s.a,C=new i.a,N=new i.a;class L extends l.a{constructor(t=new d.a,e=new u.a){super(),this.type=\\\\\\\"Mesh\\\\\\\",this.geometry=t,this.material=e,this.updateMorphTargets()}copy(t){return super.copy(t),void 0!==t.morphTargetInfluences&&(this.morphTargetInfluences=t.morphTargetInfluences.slice()),void 0!==t.morphTargetDictionary&&(this.morphTargetDictionary=Object.assign({},t.morphTargetDictionary)),this.material=t.material,this.geometry=t.geometry,this}updateMorphTargets(){const t=this.geometry;if(t.isBufferGeometry){const e=t.morphAttributes,n=Object.keys(e);if(n.length>0){const t=e[n[0]];if(void 0!==t){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let e=0,n=t.length;e0&&console.error(\\\\\\\"THREE.Mesh.updateMorphTargets() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}}raycast(t,e){const n=this.geometry,i=this.material,s=this.matrixWorld;if(void 0===i)return;if(null===n.boundingSphere&&n.computeBoundingSphere(),m.copy(n.boundingSphere),m.applyMatrix4(s),!1===t.ray.intersectsSphere(m))return;if(p.copy(s).invert(),_.copy(t.ray).applyMatrix4(p),null!==n.boundingBox&&!1===_.intersectsBox(n.boundingBox))return;let r;if(n.isBufferGeometry){const s=n.index,o=n.attributes.position,a=n.morphAttributes.position,l=n.morphTargetsRelative,c=n.attributes.uv,h=n.attributes.uv2,u=n.groups,d=n.drawRange;if(null!==s)if(Array.isArray(i))for(let n=0,p=u.length;nn.far?null:{distance:c,point:N.clone(),object:t}}(t,e,n,r,f,g,v,C);if(O){u&&(M.fromBufferAttribute(u,p),E.fromBufferAttribute(u,_),S.fromBufferAttribute(u,m),O.uv=c.a.getUV(C,f,g,v,M,E,S,new s.a)),d&&(M.fromBufferAttribute(d,p),E.fromBufferAttribute(d,_),S.fromBufferAttribute(d,m),O.uv2=c.a.getUV(C,f,g,v,M,E,S,new s.a));const t={a:p,b:_,c:m,normal:new 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y(t){this._y=t,this._onChangeCallback()}get z(){return this._z}set z(t){this._z=t,this._onChangeCallback()}get order(){return this._order}set order(t){this._order=t,this._onChangeCallback()}set(t,e,n,i=this._order){return this._x=t,this._y=e,this._z=n,this._order=i,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._order)}copy(t){return this._x=t._x,this._y=t._y,this._z=t._z,this._order=t._order,this._onChangeCallback(),this}setFromRotationMatrix(t,e=this._order,n=!0){const i=t.elements,s=i[0],r=i[4],a=i[8],l=i[1],c=i[5],h=i[9],u=i[2],d=i[6],p=i[10];switch(e){case\\\\\\\"XYZ\\\\\\\":this._y=Math.asin(Object(o.d)(a,-1,1)),Math.abs(a)<.9999999?(this._x=Math.atan2(-h,p),this._z=Math.atan2(-r,s)):(this._x=Math.atan2(d,c),this._z=0);break;case\\\\\\\"YXZ\\\\\\\":this._x=Math.asin(-Object(o.d)(h,-1,1)),Math.abs(h)<.9999999?(this._y=Math.atan2(a,p),this._z=Math.atan2(l,c)):(this._y=Math.atan2(-u,s),this._z=0);break;case\\\\\\\"ZXY\\\\\\\":this._x=Math.asin(Object(o.d)(d,-1,1)),Math.abs(d)<.9999999?(this._y=Math.atan2(-u,p),this._z=Math.atan2(-r,c)):(this._y=0,this._z=Math.atan2(l,s));break;case\\\\\\\"ZYX\\\\\\\":this._y=Math.asin(-Object(o.d)(u,-1,1)),Math.abs(u)<.9999999?(this._x=Math.atan2(d,p),this._z=Math.atan2(l,s)):(this._x=0,this._z=Math.atan2(-r,c));break;case\\\\\\\"YZX\\\\\\\":this._z=Math.asin(Object(o.d)(l,-1,1)),Math.abs(l)<.9999999?(this._x=Math.atan2(-h,c),this._y=Math.atan2(-u,s)):(this._x=0,this._y=Math.atan2(a,p));break;case\\\\\\\"XZY\\\\\\\":this._z=Math.asin(-Object(o.d)(r,-1,1)),Math.abs(r)<.9999999?(this._x=Math.atan2(d,c),this._y=Math.atan2(a,s)):(this._x=Math.atan2(-h,p),this._y=0);break;default:console.warn(\\\\\\\"THREE.Euler: .setFromRotationMatrix() encountered an unknown order: \\\\\\\"+e)}return this._order=e,!0===n&&this._onChangeCallback(),this}setFromQuaternion(t,e,n){return a.makeRotationFromQuaternion(t),this.setFromRotationMatrix(a,e,n)}setFromVector3(t,e=this._order){return this.set(t.x,t.y,t.z,e)}reorder(t){return l.setFromEuler(this),this.setFromQuaternion(l,t)}equals(t){return t._x===this._x&&t._y===this._y&&t._z===this._z&&t._order===this._order}fromArray(t){return this._x=t[0],this._y=t[1],this._z=t[2],void 0!==t[3]&&(this._order=t[3]),this._onChangeCallback(),this}toArray(t=[],e=0){return t[e]=this._x,t[e+1]=this._y,t[e+2]=this._z,t[e+3]=this._order,t}toVector3(t){return t?t.set(this._x,this._y,this._z):new s.a(this._x,this._y,this._z)}_onChange(t){return this._onChangeCallback=t,this}_onChangeCallback(){}}c.prototype.isEuler=!0,c.DefaultOrder=\\\\\\\"XYZ\\\\\\\",c.RotationOrders=[\\\\\\\"XYZ\\\\\\\",\\\\\\\"YZX\\\\\\\",\\\\\\\"ZXY\\\\\\\",\\\\\\\"XZY\\\\\\\",\\\\\\\"YXZ\\\\\\\",\\\\\\\"ZYX\\\\\\\"]},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return s})),n.d(e,\\\\\\\"b\\\\\\\",(function(){return i}));class i{constructor(t,e,n){const i=this;let s,r=!1,o=0,a=0;const l=[];this.onStart=void 0,this.onLoad=t,this.onProgress=e,this.onError=n,this.itemStart=function(t){a++,!1===r&&void 0!==i.onStart&&i.onStart(t,o,a),r=!0},this.itemEnd=function(t){o++,void 0!==i.onProgress&&i.onProgress(t,o,a),o===a&&(r=!1,void 0!==i.onLoad&&i.onLoad())},this.itemError=function(t){void 0!==i.onError&&i.onError(t)},this.resolveURL=function(t){return s?s(t):t},this.setURLModifier=function(t){return s=t,this},this.addHandler=function(t,e){return l.push(t,e),this},this.removeHandler=function(t){const e=l.indexOf(t);return-1!==e&&l.splice(e,2),this},this.getHandler=function(t){for(let e=0,n=l.length;e1?null:e.copy(n).multiplyScalar(s).add(t.start)}intersectsLine(t){const e=this.distanceToPoint(t.start),n=this.distanceToPoint(t.end);return e<0&&n>0||n<0&&e>0}intersectsBox(t){return t.intersectsPlane(this)}intersectsSphere(t){return t.intersectsPlane(this)}coplanarPoint(t){return t.copy(this.normal).multiplyScalar(-this.constant)}applyMatrix4(t,e){const n=e||a.getNormalMatrix(t),i=this.coplanarPoint(r).applyMatrix4(t),s=this.normal.applyMatrix3(n).normalize();return this.constant=-i.dot(s),this}translate(t){return this.constant-=t.dot(this.normal),this}equals(t){return t.normal.equals(this.normal)&&t.constant===this.constant}clone(){return(new this.constructor).copy(this)}}l.prototype.isPlane=!0},function(t,e,n){\\\\\\\"use strict\\\\\\\";function i(t,e,n,i,s){const r=.5*(i-e),o=.5*(s-n),a=t*t;return(2*n-2*i+r+o)*(t*a)+(-3*n+3*i-2*r-o)*a+r*t+n}function s(t,e,n,i){return function(t,e){const n=1-t;return n*n*e}(t,e)+function(t,e){return 2*(1-t)*t*e}(t,n)+function(t,e){return t*t*e}(t,i)}function r(t,e,n,i,s){return function(t,e){const n=1-t;return n*n*n*e}(t,e)+function(t,e){const n=1-t;return 3*n*n*t*e}(t,n)+function(t,e){return 3*(1-t)*t*t*e}(t,i)+function(t,e){return t*t*t*e}(t,s)}n.d(e,\\\\\\\"a\\\\\\\",(function(){return i})),n.d(e,\\\\\\\"c\\\\\\\",(function(){return s})),n.d(e,\\\\\\\"b\\\\\\\",(function(){return r}))},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return r}));var i=n(10),s=n(6);class r extends i.a{constructor(t,e=1){super(),this.type=\\\\\\\"Light\\\\\\\",this.color=new s.a(t),this.intensity=e}dispose(){}copy(t){return super.copy(t),this.color.copy(t.color),this.intensity=t.intensity,this}toJSON(t){const e=super.toJSON(t);return e.object.color=this.color.getHex(),e.object.intensity=this.intensity,void 0!==this.groundColor&&(e.object.groundColor=this.groundColor.getHex()),void 0!==this.distance&&(e.object.distance=this.distance),void 0!==this.angle&&(e.object.angle=this.angle),void 0!==this.decay&&(e.object.decay=this.decay),void 0!==this.penumbra&&(e.object.penumbra=this.penumbra),void 0!==this.shadow&&(e.object.shadow=this.shadow.toJSON()),e}}r.prototype.isLight=!0},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return r}));var i=n(23),s=n(1);class r extends i.a{constructor(t=null,e=1,n=1,i,r,o,a,l,c=s.ob,h=s.ob,u,d){super(null,o,a,l,c,h,i,r,u,d),this.image={data:t,width:e,height:n},this.magFilter=c,this.minFilter=h,this.generateMipmaps=!1,this.flipY=!1,this.unpackAlignment=1,this.needsUpdate=!0}}r.prototype.isDataTexture=!0},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return l}));var i=n(41),s=n(0),r=n(4);const o=new s.a,a=new s.a;class l extends i.a{constructor(t,e){super(t,e),this.type=\\\\\\\"LineSegments\\\\\\\"}computeLineDistances(){const t=this.geometry;if(t.isBufferGeometry)if(null===t.index){const e=t.attributes.position,n=[];for(let t=0,i=e.count;t=s)break t;{const o=e[1];t=s)break e}r=n,n=0}}for(;n>>1;t0)if(p=l*h-c,_=l*c-h,f=s*d,p>=0)if(_>=-f)if(_<=f){const t=1/d;p*=t,_*=t,m=p*(p+l*_+2*c)+_*(l*p+_+2*h)+u}else _=s,p=Math.max(0,-(l*_+c)),m=-p*p+_*(_+2*h)+u;else _=-s,p=Math.max(0,-(l*_+c)),m=-p*p+_*(_+2*h)+u;else _<=-f?(p=Math.max(0,-(-l*s+c)),_=p>0?-s:Math.min(Math.max(-s,-h),s),m=-p*p+_*(_+2*h)+u):_<=f?(p=0,_=Math.min(Math.max(-s,-h),s),m=_*(_+2*h)+u):(p=Math.max(0,-(l*s+c)),_=p>0?s:Math.min(Math.max(-s,-h),s),m=-p*p+_*(_+2*h)+u);else _=l>0?-s:s,p=Math.max(0,-(l*_+c)),m=-p*p+_*(_+2*h)+u;return n&&n.copy(this.direction).multiplyScalar(p).add(this.origin),i&&i.copy(o).multiplyScalar(_).add(r),m}intersectSphere(t,e){s.subVectors(t.center,this.origin);const n=s.dot(this.direction),i=s.dot(s)-n*n,r=t.radius*t.radius;if(i>r)return null;const o=Math.sqrt(r-i),a=n-o,l=n+o;return a<0&&l<0?null:a<0?this.at(l,e):this.at(a,e)}intersectsSphere(t){return this.distanceSqToPoint(t.center)<=t.radius*t.radius}distanceToPlane(t){const e=t.normal.dot(this.direction);if(0===e)return 0===t.distanceToPoint(this.origin)?0:null;const n=-(this.origin.dot(t.normal)+t.constant)/e;return n>=0?n:null}intersectPlane(t,e){const n=this.distanceToPlane(t);return null===n?null:this.at(n,e)}intersectsPlane(t){const e=t.distanceToPoint(this.origin);if(0===e)return!0;return t.normal.dot(this.direction)*e<0}intersectBox(t,e){let n,i,s,r,o,a;const l=1/this.direction.x,c=1/this.direction.y,h=1/this.direction.z,u=this.origin;return l>=0?(n=(t.min.x-u.x)*l,i=(t.max.x-u.x)*l):(n=(t.max.x-u.x)*l,i=(t.min.x-u.x)*l),c>=0?(s=(t.min.y-u.y)*c,r=(t.max.y-u.y)*c):(s=(t.max.y-u.y)*c,r=(t.min.y-u.y)*c),n>r||s>i?null:((s>n||n!=n)&&(n=s),(r=0?(o=(t.min.z-u.z)*h,a=(t.max.z-u.z)*h):(o=(t.max.z-u.z)*h,a=(t.min.z-u.z)*h),n>a||o>i?null:((o>n||n!=n)&&(n=o),(a=0?n:i,e)))}intersectsBox(t){return null!==this.intersectBox(t,s)}intersectTriangle(t,e,n,i,s){l.subVectors(e,t),c.subVectors(n,t),h.crossVectors(l,c);let r,o=this.direction.dot(h);if(o>0){if(i)return null;r=1}else{if(!(o<0))return null;r=-1,o=-o}a.subVectors(this.origin,t);const u=r*this.direction.dot(c.crossVectors(a,c));if(u<0)return null;const d=r*this.direction.dot(l.cross(a));if(d<0)return null;if(u+d>o)return null;const p=-r*a.dot(h);return p<0?null:this.at(p/o,s)}applyMatrix4(t){return this.origin.applyMatrix4(t),this.direction.transformDirection(t),this}equals(t){return t.origin.equals(this.origin)&&t.direction.equals(this.direction)}clone(){return(new this.constructor).copy(this)}}},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return _}));var i=n(0);const s=new i.a,r=new i.a,o=new i.a,a=new i.a,l=new i.a,c=new i.a,h=new i.a,u=new i.a,d=new i.a,p=new i.a;class _{constructor(t=new i.a,e=new i.a,n=new i.a){this.a=t,this.b=e,this.c=n}static getNormal(t,e,n,i){i.subVectors(n,e),s.subVectors(t,e),i.cross(s);const r=i.lengthSq();return r>0?i.multiplyScalar(1/Math.sqrt(r)):i.set(0,0,0)}static getBarycoord(t,e,n,i,a){s.subVectors(i,e),r.subVectors(n,e),o.subVectors(t,e);const l=s.dot(s),c=s.dot(r),h=s.dot(o),u=r.dot(r),d=r.dot(o),p=l*u-c*c;if(0===p)return a.set(-2,-1,-1);const _=1/p,m=(u*h-c*d)*_,f=(l*d-c*h)*_;return a.set(1-m-f,f,m)}static containsPoint(t,e,n,i){return this.getBarycoord(t,e,n,i,a),a.x>=0&&a.y>=0&&a.x+a.y<=1}static getUV(t,e,n,i,s,r,o,l){return this.getBarycoord(t,e,n,i,a),l.set(0,0),l.addScaledVector(s,a.x),l.addScaledVector(r,a.y),l.addScaledVector(o,a.z),l}static isFrontFacing(t,e,n,i){return s.subVectors(n,e),r.subVectors(t,e),s.cross(r).dot(i)<0}set(t,e,n){return this.a.copy(t),this.b.copy(e),this.c.copy(n),this}setFromPointsAndIndices(t,e,n,i){return this.a.copy(t[e]),this.b.copy(t[n]),this.c.copy(t[i]),this}setFromAttributeAndIndices(t,e,n,i){return this.a.fromBufferAttribute(t,e),this.b.fromBufferAttribute(t,n),this.c.fromBufferAttribute(t,i),this}clone(){return(new this.constructor).copy(this)}copy(t){return this.a.copy(t.a),this.b.copy(t.b),this.c.copy(t.c),this}getArea(){return s.subVectors(this.c,this.b),r.subVectors(this.a,this.b),.5*s.cross(r).length()}getMidpoint(t){return t.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)}getNormal(t){return _.getNormal(this.a,this.b,this.c,t)}getPlane(t){return t.setFromCoplanarPoints(this.a,this.b,this.c)}getBarycoord(t,e){return _.getBarycoord(t,this.a,this.b,this.c,e)}getUV(t,e,n,i,s){return _.getUV(t,this.a,this.b,this.c,e,n,i,s)}containsPoint(t){return _.containsPoint(t,this.a,this.b,this.c)}isFrontFacing(t){return _.isFrontFacing(this.a,this.b,this.c,t)}intersectsBox(t){return t.intersectsTriangle(this)}closestPointToPoint(t,e){const n=this.a,i=this.b,s=this.c;let r,o;l.subVectors(i,n),c.subVectors(s,n),u.subVectors(t,n);const a=l.dot(u),_=c.dot(u);if(a<=0&&_<=0)return e.copy(n);d.subVectors(t,i);const m=l.dot(d),f=c.dot(d);if(m>=0&&f<=m)return e.copy(i);const g=a*f-m*_;if(g<=0&&a>=0&&m<=0)return r=a/(a-m),e.copy(n).addScaledVector(l,r);p.subVectors(t,s);const v=l.dot(p),y=c.dot(p);if(y>=0&&v<=y)return e.copy(s);const x=v*_-a*y;if(x<=0&&_>=0&&y<=0)return o=_/(_-y),e.copy(n).addScaledVector(c,o);const b=m*y-v*f;if(b<=0&&f-m>=0&&v-y>=0)return h.subVectors(s,i),o=(f-m)/(f-m+(v-y)),e.copy(i).addScaledVector(h,o);const w=1/(b+x+g);return r=x*w,o=g*w,e.copy(n).addScaledVector(l,r).addScaledVector(c,o)}equals(t){return t.a.equals(this.a)&&t.b.equals(this.b)&&t.c.equals(this.c)}}},function(t,e,n){\\\\\\\"use strict\\\\\\\";n.d(e,\\\\\\\"a\\\\\\\",(function(){return f}));var i=n(18),s=n(39),r=n(5),o=n(10),a=n(0),l=n(24),c=n(7),h=n(4);const u=new a.a,d=new a.a,p=new r.a,_=new s.a,m=new i.a;class f extends o.a{constructor(t=new c.a,e=new l.a){super(),this.type=\\\\\\\"Line\\\\\\\",this.geometry=t,this.material=e,this.updateMorphTargets()}copy(t){return super.copy(t),this.material=t.material,this.geometry=t.geometry,this}computeLineDistances(){const t=this.geometry;if(t.isBufferGeometry)if(null===t.index){const e=t.attributes.position,n=[0];for(let t=1,i=e.count;tl)continue;d.applyMatrix4(this.matrixWorld);const a=t.ray.origin.distanceTo(d);at.far||e.push({distance:a,point:u.clone().applyMatrix4(this.matrixWorld),index:n,face:null,faceIndex:null,object:this})}}else{for(let n=Math.max(0,r.start),i=Math.min(s.count,r.start+r.count)-1;nl)continue;d.applyMatrix4(this.matrixWorld);const i=t.ray.origin.distanceTo(d);it.far||e.push({distance:i,point:u.clone().applyMatrix4(this.matrixWorld),index:n,face:null,faceIndex:null,object:this})}}}else n.isGeometry&&console.error(\\\\\\\"THREE.Line.raycast() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}updateMorphTargets(){const t=this.geometry;if(t.isBufferGeometry){const e=t.morphAttributes,n=Object.keys(e);if(n.length>0){const t=e[n[0]];if(void 0!==t){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let e=0,n=t.length;e0&&console.error(\\\\\\\"THREE.Line.updateMorphTargets() does not support THREE.Geometry. 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e.set((t.x-this.min.x)/(this.max.x-this.min.x),(t.y-this.min.y)/(this.max.y-this.min.y))}intersectsBox(t){return!(t.max.xthis.max.x||t.max.ythis.max.y)}clampPoint(t,e){return e.copy(t).clamp(this.min,this.max)}distanceToPoint(t){return s.copy(t).clamp(this.min,this.max).sub(t).length()}intersect(t){return this.min.max(t.min),this.max.min(t.max),this}union(t){return this.min.min(t.min),this.max.max(t.max),this}translate(t){return this.min.add(t),this.max.add(t),this}equals(t){return t.min.equals(this.min)&&t.max.equals(this.max)}}r.prototype.isBox2=!0;var o=n(7),a=n(22),l=n(4),c=n(13),h=n(11),u=n(47),d=n(46),p=n(48),_=n(53),m=n(0);class f extends c.a{constructor(t){super(t),this.defaultDPI=90,this.defaultUnit=\\\\\\\"px\\\\\\\"}load(t,e,n,i){const s=this,r=new a.a(s.manager);r.setPath(s.path),r.setRequestHeader(s.requestHeader),r.setWithCredentials(s.withCredentials),r.load(t,(function(n){try{e(s.parse(n))}catch(e){i?i(e):console.error(e),s.manager.itemError(t)}}),n,i)}parse(t){const e=this;function n(t,e,n,i,r,o,a,l){if(0==e||0==n)return void t.lineTo(l.x,l.y);i=i*Math.PI/180,e=Math.abs(e),n=Math.abs(n);const c=(a.x-l.x)/2,h=(a.y-l.y)/2,u=Math.cos(i)*c+Math.sin(i)*h,d=-Math.sin(i)*c+Math.cos(i)*h;let p=e*e,_=n*n;const m=u*u,f=d*d,g=m/p+f/_;if(g>1){const t=Math.sqrt(g);p=(e*=t)*e,_=(n*=t)*n}const v=p*f+_*m,y=(p*_-v)/v;let x=Math.sqrt(Math.max(0,y));r===o&&(x=-x);const b=x*e*d/n,w=-x*n*u/e,T=Math.cos(i)*b-Math.sin(i)*w+(a.x+l.x)/2,A=Math.sin(i)*b+Math.cos(i)*w+(a.y+l.y)/2,M=s(1,0,(u-b)/e,(d-w)/n),E=s((u-b)/e,(d-w)/n,(-u-b)/e,(-d-w)/n)%(2*Math.PI);t.currentPath.absellipse(T,A,e,n,M,M+E,0===o,i)}function s(t,e,n,i){const s=t*n+e*i,r=Math.sqrt(t*t+e*e)*Math.sqrt(n*n+i*i);let o=Math.acos(Math.max(-1,Math.min(1,s/r)));return t*i-e*n<0&&(o=-o),o}function r(t,e){e=Object.assign({},e);let n={};if(t.hasAttribute(\\\\\\\"class\\\\\\\")){const e=t.getAttribute(\\\\\\\"class\\\\\\\").split(/\\\\s/).filter(Boolean).map((t=>t.trim()));for(let t=0;t=0;t--){const s=i[t].trim();if(\\\\\\\"\\\\\\\"===s)continue;const r=s.indexOf(\\\\\\\"(\\\\\\\"),o=s.length;if(r>0&&r=1){const t=e[0];let i=t;e.length>=2&&(i=e[1]),n.translate(t,i)}break;case\\\\\\\"rotate\\\\\\\":if(e.length>=1){let t=0,i=0,s=0;t=-e[0]*Math.PI/180,e.length>=3&&(i=e[1],s=e[2]),b.identity().translate(-i,-s),w.identity().rotate(t),T.multiplyMatrices(w,b),b.identity().translate(i,s),n.multiplyMatrices(b,T)}break;case\\\\\\\"scale\\\\\\\":if(e.length>=1){const t=e[0];let i=t;e.length>=2&&(i=e[1]),n.scale(t,i)}break;case\\\\\\\"skewX\\\\\\\":1===e.length&&n.set(1,Math.tan(e[0]*Math.PI/180),0,0,1,0,0,0,1);break;case\\\\\\\"skewY\\\\\\\":1===e.length&&n.set(1,0,0,Math.tan(e[0]*Math.PI/180),1,0,0,0,1);break;case\\\\\\\"matrix\\\\\\\":6===e.length&&n.set(e[0],e[2],e[4],e[1],e[3],e[5],0,0,1)}}e.premultiply(n)}}return e}(t);y.length>0&&e.premultiply(y[y.length-1]);return E.copy(e),y.push(e),e}(e);let c=!0,m=null;switch(e.nodeName){case\\\\\\\"svg\\\\\\\":break;case\\\\\\\"style\\\\\\\":!function(t){if(!t.sheet||!t.sheet.cssRules||!t.sheet.cssRules.length)return;for(let e=0;et.trim()));for(let t=0;t0&&(s.copy(l),e.currentPath.currentPoint.copy(s),c=!0);break;default:console.warn(i)}h=!1}return e}(e));break;case\\\\\\\"rect\\\\\\\":s=r(e,s),m=function(t){const e=d(t.getAttribute(\\\\\\\"x\\\\\\\")||0),n=d(t.getAttribute(\\\\\\\"y\\\\\\\")||0),i=d(t.getAttribute(\\\\\\\"rx\\\\\\\")||t.getAttribute(\\\\\\\"ry\\\\\\\")||0),s=d(t.getAttribute(\\\\\\\"ry\\\\\\\")||t.getAttribute(\\\\\\\"rx\\\\\\\")||0),r=d(t.getAttribute(\\\\\\\"width\\\\\\\")),o=d(t.getAttribute(\\\\\\\"height\\\\\\\")),a=.448084975506,l=new p.a;l.moveTo(e+i,n),l.lineTo(e+r-i,n),(0!==i||0!==s)&&l.bezierCurveTo(e+r-i*a,n,e+r,n+s*a,e+r,n+s);l.lineTo(e+r,n+o-s),(0!==i||0!==s)&&l.bezierCurveTo(e+r,n+o-s*a,e+r-i*a,n+o,e+r-i,n+o);l.lineTo(e+i,n+o),(0!==i||0!==s)&&l.bezierCurveTo(e+i*a,n+o,e,n+o-s*a,e,n+o-s);l.lineTo(e,n+s),(0!==i||0!==s)&&l.bezierCurveTo(e,n+s*a,e+i*a,n,e+i,n);return l}(e);break;case\\\\\\\"polygon\\\\\\\":s=r(e,s),m=function(t){function e(t,e,n){const r=d(e),o=d(n);0===s?i.moveTo(r,o):i.lineTo(r,o),s++}const n=/(-?[\\\\d\\\\.?]+)[,|\\\\s](-?[\\\\d\\\\.?]+)/g,i=new p.a;let s=0;return t.getAttribute(\\\\\\\"points\\\\\\\").replace(n,e),i.currentPath.autoClose=!0,i}(e);break;case\\\\\\\"polyline\\\\\\\":s=r(e,s),m=function(t){function e(t,e,n){const r=d(e),o=d(n);0===s?i.moveTo(r,o):i.lineTo(r,o),s++}const n=/(-?[\\\\d\\\\.?]+)[,|\\\\s](-?[\\\\d\\\\.?]+)/g,i=new p.a;let s=0;return t.getAttribute(\\\\\\\"points\\\\\\\").replace(n,e),i.currentPath.autoClose=!1,i}(e);break;case\\\\\\\"circle\\\\\\\":s=r(e,s),m=function(t){const e=d(t.getAttribute(\\\\\\\"cx\\\\\\\")||0),n=d(t.getAttribute(\\\\\\\"cy\\\\\\\")||0),i=d(t.getAttribute(\\\\\\\"r\\\\\\\")||0),s=new u.a;s.absarc(e,n,i,0,2*Math.PI);const r=new p.a;return r.subPaths.push(s),r}(e);break;case\\\\\\\"ellipse\\\\\\\":s=r(e,s),m=function(t){const e=d(t.getAttribute(\\\\\\\"cx\\\\\\\")||0),n=d(t.getAttribute(\\\\\\\"cy\\\\\\\")||0),i=d(t.getAttribute(\\\\\\\"rx\\\\\\\")||0),s=d(t.getAttribute(\\\\\\\"ry\\\\\\\")||0),r=new u.a;r.absellipse(e,n,i,s,0,2*Math.PI);const o=new p.a;return o.subPaths.push(r),o}(e);break;case\\\\\\\"line\\\\\\\":s=r(e,s),m=function(t){const e=d(t.getAttribute(\\\\\\\"x1\\\\\\\")||0),n=d(t.getAttribute(\\\\\\\"y1\\\\\\\")||0),i=d(t.getAttribute(\\\\\\\"x2\\\\\\\")||0),s=d(t.getAttribute(\\\\\\\"y2\\\\\\\")||0),r=new p.a;return r.moveTo(e,n),r.lineTo(i,s),r.currentPath.autoClose=!1,r}(e);break;case\\\\\\\"defs\\\\\\\":c=!1;break;case\\\\\\\"use\\\\\\\":s=r(e,s);const l=e.href.baseVal.substring(1),h=e.viewportElement.getElementById(l);h?t(h,s):console.warn(\\\\\\\"SVGLoader: 'use node' references non-existent node id: \\\\\\\"+l)}if(m&&(void 0!==s.fill&&\\\\\\\"none\\\\\\\"!==s.fill&&m.color.setStyle(s.fill),function(t,e){function n(t){M.set(t.x,t.y,1).applyMatrix3(e),t.set(M.x,M.y)}const i=function(t){return 0!==t.elements[1]||0!==t.elements[3]}(e),s=t.subPaths;for(let t=0,r=s.length;t0?E.copy(y[y.length-1]):E.identity())}(S.documentElement,{fill:\\\\\\\"#000\\\\\\\",fillOpacity:1,strokeOpacity:1,strokeWidth:1,strokeLineJoin:\\\\\\\"miter\\\\\\\",strokeLineCap:\\\\\\\"butt\\\\\\\",strokeMiterLimit:4});return{paths:g,xml:S.documentElement}}static createShapes(t){const e=999999999,n=0,s=1,o=2,a=3,l=4,c=5,h=6,p={loc:n,t:0};function m(t,e,i,s){const r=t.x,a=e.x,l=i.x,c=s.x,h=t.y,u=e.y,d=i.y,_=s.y,m=(c-l)*(h-d)-(_-d)*(r-l),g=(_-d)*(a-r)-(c-l)*(u-h),v=m/g,y=((a-r)*(h-d)-(u-h)*(r-l))/g;if(0===g&&0!==m||v<=0||v>=1||y<0||y>1)return null;if(0===m&&0===g){for(let l=0;l<2;l++){if(f(0===l?i:s,t,e),p.loc==n){const t=0===l?i:s;return{x:t.x,y:t.y,t:p.t}}if(p.loc==o){return{x:+(r+p.t*(a-r)).toPrecision(10),y:+(h+p.t*(u-h)).toPrecision(10),t:p.t}}}return null}for(let r=0;r<2;r++)if(f(0===r?i:s,t,e),p.loc==n){const t=0===r?i:s;return{x:t.x,y:t.y,t:p.t}}return{x:+(r+v*(a-r)).toPrecision(10),y:+(h+v*(u-h)).toPrecision(10),t:v}}function f(t,e,i){const r=i.x-e.x,u=i.y-e.y,d=t.x-e.x,_=t.y-e.y,m=r*_-d*u;if(t.x===e.x&&t.y===e.y)return p.loc=n,void(p.t=0);if(t.x===i.x&&t.y===i.y)return p.loc=s,void(p.t=1);if(m<-Number.EPSILON)return void(p.loc=a);if(m>Number.EPSILON)return void(p.loc=l);if(r*d<0||u*_<0)return void(p.loc=c);if(Math.sqrt(r*r+u*u){if(e.boundingBox.containsPoint(s)){(function(t,e){const n=[],s=[];for(let 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${s}`),!1}disconnect(t,e){this._remove_connection(t.graphNodeId(),e.graphNodeId()),t.dirtyController.clearSuccessorsCacheWithPredecessors()}disconnectPredecessors(t){const e=this.predecessors(t);for(let n of e)this.disconnect(n,t)}disconnectSuccessors(t){const e=this.successors(t);for(let n of e)this.disconnect(t,n)}predecessorIds(t){const e=this._predecessors.get(t);if(e){const t=[];return e.forEach(((e,n)=>{t.push(n)})),t}return[]}predecessors(t){const e=this.predecessorIds(t.graphNodeId());return this.nodesFromIds(e)}successorIds(t){const e=this._successors.get(t);if(e){const t=[];return e.forEach(((e,n)=>{t.push(n)})),t}return[]}successors(t){const e=this.successorIds(t.graphNodeId())||[];return this.nodesFromIds(e)}allPredecessorIds(t){return this.allNextIds(t,\\\\\\\"predecessorIds\\\\\\\")}allSuccessorIds(t){return this.allNextIds(t,\\\\\\\"successorIds\\\\\\\")}allPredecessors(t){const e=this.allPredecessorIds(t);return this.nodesFromIds(e)}allSuccessors(t){const e=this.allSuccessorIds(t);return this.nodesFromIds(e)}_createConnection(t,e){let n=this._successors.get(t);if(n||(n=new Set,this._successors.set(t,n)),n.has(e))return;n.add(e);let i=this._predecessors.get(e);i||(i=new Set,this._predecessors.set(e,i)),i.add(t)}_remove_connection(t,e){let n=this._successors.get(t);n&&(n.delete(e),0==n.size&&this._successors.delete(t));let i=this._predecessors.get(e);i&&(i.delete(t),0==i.size&&this._predecessors.delete(e))}allNextIds(t,e){const n=new Map,i=[];let s=this[e](t.graphNodeId());for(;s.length>0;){const t=[];for(let n of s)for(let i of this[e](n))t.push(i);for(let t of s)n.set(t,!0);for(let e of t)s.push(e);s=t}return n.forEach(((t,e)=>{i.push(e)})),i}_hasPredecessor(t,e){const n=this.predecessorIds(t);if(n){if(n.includes(e))return!0;for(let t of n)return this._hasPredecessor(t,e)}return!1}}class c{constructor(t){this._node=t,this._cooks_count=0,this._total_cook_time=0,this._total_inputs_time=0,this._total_params_time=0}update_cook_data(t){this._cooks_count+=1,this._total_cook_time+=t.cookTime,this._total_inputs_time+=t.inputsTime,this._total_params_time+=t.paramsTime}total_time(){return this._total_cook_time+this._total_inputs_time+this._total_params_time}total_cook_time(){return this._total_cook_time}cook_time_per_iteration(){return this._cooks_count>0?this._total_cook_time/this._cooks_count:0}total_inputs_time(){return this._total_inputs_time}inputs_time_per_iteration(){return this._cooks_count>0?this._total_inputs_time/this._cooks_count:0}total_params_time2(){return this._total_params_time}params_time_per_iteration2(){return this._cooks_count>0?this._total_params_time/this._cooks_count:0}cooks_count(){return 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t)e+=n;return e}static compact(t){const e=[];for(let n of t)null!=n&&e.push(n);return e}static uniq(t){const e=new Set;for(let n of t)e.add(n);const n=new Array(e.size);let i=0;return e.forEach((t=>{n[i]=t,i++})),n}static chunk(t,e){const n=[];let i=[];n.push(i);for(let s=0;sn.push(t))),n}static intersection(t,e){const n=[];return u.intersection(this.toSet(t),this.toSet(e)).forEach((t=>n.push(t))),n}static difference(t,e){const n=[];return u.difference(this.toSet(t),this.toSet(e)).forEach((t=>n.push(t))),n}static toSet(t){const e=new Set;for(let n of t)e.add(n);return e}static isEqual(t,e){if(t.length!=e.length)return!1;const n=t.length;for(let i=0;i{s[r]=t,r++})),m.isString(s[0])?s.sort():s.sort(((t,e)=>t-e));const o=new Array(t.length);r=0;for(let t of s){const e=n.get(t);if(e)for(let t of e)o[r]=t,r++}return o}static range(t,e,n=1){null==e&&(e=t,t=0);const i=Math.floor((e-t)/n),s=new Array(i);for(let e=0;e0?1:-1,c.push(C.x,C.y,C.z),h.push(a/f),h.push(1-r/g),E+=1}}for(let t=0;t0&&(e.defines=this.defines),e.vertexShader=this.vertexShader,e.fragmentShader=this.fragmentShader;const n={};for(const t in this.extensions)!0===this.extensions[t]&&(n[t]=!0);return Object.keys(n).length>0&&(e.extensions=n),e}}F.prototype.isShaderMaterial=!0;var D=n(6),B=n(14),z=\\\\\\\"\\\\n#ifdef USE_SHADOWMAP\\\\n\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t\\\\tuniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t\\\\tstruct DirectionalLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t};\\\\n\\\\n\\\\t\\\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t\\\\tuniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t\\\\tstruct SpotLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t};\\\\n\\\\n\\\\t\\\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t\\\\tuniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t\\\\tstruct PointLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t\\\\tfloat shadowCameraNear;\\\\n\\\\t\\\\t\\\\tfloat shadowCameraFar;\\\\n\\\\t\\\\t};\\\\n\\\\n\\\\t\\\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t/*\\\\n\\\\t#if NUM_RECT_AREA_LIGHTS > 0\\\\n\\\\n\\\\t\\\\t// TODO (abelnation): create uniforms for area light shadows\\\\n\\\\n\\\\t#endif\\\\n\\\\t*/\\\\n\\\\n\\\\tfloat texture2DCompare( sampler2D depths, vec2 uv, float compare ) {\\\\n\\\\n\\\\t\\\\treturn step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tvec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {\\\\n\\\\n\\\\t\\\\treturn unpackRGBATo2Half( texture2D( shadow, uv ) );\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tfloat VSMShadow (sampler2D shadow, vec2 uv, float compare ){\\\\n\\\\n\\\\t\\\\tfloat occlusion = 1.0;\\\\n\\\\n\\\\t\\\\tvec2 distribution = texture2DDistribution( shadow, uv );\\\\n\\\\n\\\\t\\\\tfloat hard_shadow = step( compare , distribution.x ); // Hard Shadow\\\\n\\\\n\\\\t\\\\tif (hard_shadow != 1.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\tfloat distance = compare - distribution.x ;\\\\n\\\\t\\\\t\\\\tfloat variance = max( 0.00000, distribution.y * distribution.y );\\\\n\\\\t\\\\t\\\\tfloat softness_probability = variance / (variance + distance * distance ); // Chebeyshevs inequality\\\\n\\\\t\\\\t\\\\tsoftness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 ); // 0.3 reduces light bleed\\\\n\\\\t\\\\t\\\\tocclusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\treturn occlusion;\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tfloat getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {\\\\n\\\\n\\\\t\\\\tfloat shadow = 1.0;\\\\n\\\\n\\\\t\\\\tshadowCoord.xyz /= shadowCoord.w;\\\\n\\\\t\\\\tshadowCoord.z += shadowBias;\\\\n\\\\n\\\\t\\\\t// if ( something && something ) breaks ATI OpenGL shader compiler\\\\n\\\\t\\\\t// if ( all( something, something ) ) using this instead\\\\n\\\\n\\\\t\\\\tbvec4 inFrustumVec = bvec4 ( shadowCoord.x >= 0.0, shadowCoord.x <= 1.0, shadowCoord.y >= 0.0, shadowCoord.y <= 1.0 );\\\\n\\\\t\\\\tbool inFrustum = all( inFrustumVec );\\\\n\\\\n\\\\t\\\\tbvec2 frustumTestVec = bvec2( inFrustum, shadowCoord.z <= 1.0 );\\\\n\\\\n\\\\t\\\\tbool frustumTest = all( frustumTestVec );\\\\n\\\\n\\\\t\\\\tif ( frustumTest ) {\\\\n\\\\n\\\\t\\\\t#if defined( SHADOWMAP_TYPE_PCF )\\\\n\\\\n\\\\t\\\\t\\\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\\\n\\\\n\\\\t\\\\t\\\\tfloat dx0 = - texelSize.x * shadowRadius;\\\\n\\\\t\\\\t\\\\tfloat dy0 = - texelSize.y * shadowRadius;\\\\n\\\\t\\\\t\\\\tfloat dx1 = + texelSize.x * shadowRadius;\\\\n\\\\t\\\\t\\\\tfloat dy1 = + texelSize.y * shadowRadius;\\\\n\\\\t\\\\t\\\\tfloat dx2 = dx0 / 2.0;\\\\n\\\\t\\\\t\\\\tfloat dy2 = dy0 / 2.0;\\\\n\\\\t\\\\t\\\\tfloat dx3 = dx1 / 2.0;\\\\n\\\\t\\\\t\\\\tfloat dy3 = dy1 / 2.0;\\\\n\\\\n\\\\t\\\\t\\\\tshadow = (\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\\\\n\\\\t\\\\t\\\\t) * ( 1.0 / 17.0 );\\\\n\\\\n\\\\t\\\\t#elif defined( SHADOWMAP_TYPE_PCF_SOFT )\\\\n\\\\n\\\\t\\\\t\\\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\\\n\\\\t\\\\t\\\\tfloat dx = texelSize.x;\\\\n\\\\t\\\\t\\\\tfloat dy = texelSize.y;\\\\n\\\\n\\\\t\\\\t\\\\tvec2 uv = shadowCoord.xy;\\\\n\\\\t\\\\t\\\\tvec2 f = fract( uv * shadowMapSize + 0.5 );\\\\n\\\\t\\\\t\\\\tuv -= f * texelSize;\\\\n\\\\n\\\\t\\\\t\\\\tshadow = (\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, uv, shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.x ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.x ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.y ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.y ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t f.x ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t f.x ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.y )\\\\n\\\\t\\\\t\\\\t) * ( 1.0 / 9.0 );\\\\n\\\\n\\\\t\\\\t#elif defined( SHADOWMAP_TYPE_VSM )\\\\n\\\\n\\\\t\\\\t\\\\tshadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );\\\\n\\\\n\\\\t\\\\t#else // no percentage-closer filtering:\\\\n\\\\n\\\\t\\\\t\\\\tshadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\treturn shadow;\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\t// cubeToUV() maps a 3D direction vector suitable for cube texture mapping to a 2D\\\\n\\\\t// vector suitable for 2D texture mapping. This code uses the following layout for the\\\\n\\\\t// 2D texture:\\\\n\\\\t//\\\\n\\\\t// xzXZ\\\\n\\\\t// y Y\\\\n\\\\t//\\\\n\\\\t// Y - Positive y direction\\\\n\\\\t// y - Negative y direction\\\\n\\\\t// X - Positive x direction\\\\n\\\\t// x - Negative x direction\\\\n\\\\t// Z - Positive z direction\\\\n\\\\t// z - Negative z direction\\\\n\\\\t//\\\\n\\\\t// Source and test bed:\\\\n\\\\t// https://gist.github.com/tschw/da10c43c467ce8afd0c4\\\\n\\\\n\\\\tvec2 cubeToUV( vec3 v, float texelSizeY ) {\\\\n\\\\n\\\\t\\\\t// Number of texels to avoid at the edge of each square\\\\n\\\\n\\\\t\\\\tvec3 absV = abs( v );\\\\n\\\\n\\\\t\\\\t// Intersect unit cube\\\\n\\\\n\\\\t\\\\tfloat scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );\\\\n\\\\t\\\\tabsV *= scaleToCube;\\\\n\\\\n\\\\t\\\\t// Apply scale to avoid seams\\\\n\\\\n\\\\t\\\\t// two texels less per square (one texel will do for NEAREST)\\\\n\\\\t\\\\tv *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );\\\\n\\\\n\\\\t\\\\t// Unwrap\\\\n\\\\n\\\\t\\\\t// space: -1 ... 1 range for each square\\\\n\\\\t\\\\t//\\\\n\\\\t\\\\t// #X##\\\\t\\\\tdim := ( 4 , 2 )\\\\n\\\\t\\\\t// # #\\\\t\\\\tcenter := ( 1 , 1 )\\\\n\\\\n\\\\t\\\\tvec2 planar = v.xy;\\\\n\\\\n\\\\t\\\\tfloat almostATexel = 1.5 * texelSizeY;\\\\n\\\\t\\\\tfloat almostOne = 1.0 - almostATexel;\\\\n\\\\n\\\\t\\\\tif ( absV.z >= almostOne ) {\\\\n\\\\n\\\\t\\\\t\\\\tif ( v.z > 0.0 )\\\\n\\\\t\\\\t\\\\t\\\\tplanar.x = 4.0 - v.x;\\\\n\\\\n\\\\t\\\\t} else if ( absV.x >= almostOne ) {\\\\n\\\\n\\\\t\\\\t\\\\tfloat signX = sign( v.x );\\\\n\\\\t\\\\t\\\\tplanar.x = v.z * signX + 2.0 * signX;\\\\n\\\\n\\\\t\\\\t} else if ( absV.y >= almostOne ) {\\\\n\\\\n\\\\t\\\\t\\\\tfloat signY = sign( v.y );\\\\n\\\\t\\\\t\\\\tplanar.x = v.x + 2.0 * signY + 2.0;\\\\n\\\\t\\\\t\\\\tplanar.y = v.z * signY - 2.0;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t// Transform to UV space\\\\n\\\\n\\\\t\\\\t// scale := 0.5 / dim\\\\n\\\\t\\\\t// translate := ( center + 0.5 ) / dim\\\\n\\\\t\\\\treturn vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tfloat getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {\\\\n\\\\n\\\\t\\\\tvec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );\\\\n\\\\n\\\\t\\\\t// for point lights, the uniform @vShadowCoord is re-purposed to hold\\\\n\\\\t\\\\t// the vector from the light to the world-space position of the fragment.\\\\n\\\\t\\\\tvec3 lightToPosition = shadowCoord.xyz;\\\\n\\\\n\\\\t\\\\t// dp = normalized distance from light to fragment position\\\\n\\\\t\\\\tfloat dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear ); // need to clamp?\\\\n\\\\t\\\\tdp += shadowBias;\\\\n\\\\n\\\\t\\\\t// bd3D = base direction 3D\\\\n\\\\t\\\\tvec3 bd3D = normalize( lightToPosition );\\\\n\\\\n\\\\t\\\\t#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )\\\\n\\\\n\\\\t\\\\t\\\\tvec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;\\\\n\\\\n\\\\t\\\\t\\\\treturn (\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )\\\\n\\\\t\\\\t\\\\t) * ( 1.0 / 9.0 );\\\\n\\\\n\\\\t\\\\t#else // no percentage-closer filtering\\\\n\\\\n\\\\t\\\\t\\\\treturn texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\\\\",k=\\\\\\\"\\\\n#ifdef USE_TRANSMISSION\\\\n\\\\n\\\\tfloat transmissionAlpha = 1.0;\\\\n\\\\tfloat transmissionFactor = transmission;\\\\n\\\\tfloat thicknessFactor = thickness;\\\\n\\\\n\\\\t#ifdef USE_TRANSMISSIONMAP\\\\n\\\\n\\\\t\\\\ttransmissionFactor *= texture2D( transmissionMap, vUv ).r;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef USE_THICKNESSMAP\\\\n\\\\n\\\\t\\\\tthicknessFactor *= texture2D( thicknessMap, vUv ).g;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tvec3 pos = vWorldPosition;\\\\n\\\\tvec3 v = normalize( cameraPosition - pos );\\\\n\\\\tvec3 n = inverseTransformDirection( normal, viewMatrix );\\\\n\\\\n\\\\tvec4 transmission = getIBLVolumeRefraction(\\\\n\\\\t\\\\tn, v, roughnessFactor, material.diffuseColor, material.specularColor, material.specularF90,\\\\n\\\\t\\\\tpos, modelMatrix, viewMatrix, projectionMatrix, ior, thicknessFactor,\\\\n\\\\t\\\\tattenuationTint, attenuationDistance );\\\\n\\\\n\\\\ttotalDiffuse = mix( totalDiffuse, transmission.rgb, transmissionFactor );\\\\n\\\\ttransmissionAlpha = mix( transmissionAlpha, transmission.a, transmissionFactor );\\\\n#endif\\\\n\\\\\\\";const U={alphamap_fragment:\\\\\\\"\\\\n#ifdef USE_ALPHAMAP\\\\n\\\\n\\\\tdiffuseColor.a *= texture2D( alphaMap, vUv ).g;\\\\n\\\\n#endif\\\\n\\\\\\\",alphamap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_ALPHAMAP\\\\n\\\\n\\\\tuniform sampler2D alphaMap;\\\\n\\\\n#endif\\\\n\\\\\\\",alphatest_fragment:\\\\\\\"\\\\n#ifdef USE_ALPHATEST\\\\n\\\\n\\\\tif ( diffuseColor.a < alphaTest ) discard;\\\\n\\\\n#endif\\\\n\\\\\\\",alphatest_pars_fragment:\\\\\\\"\\\\n#ifdef USE_ALPHATEST\\\\n\\\\tuniform float alphaTest;\\\\n#endif\\\\n\\\\\\\",aomap_fragment:\\\\\\\"\\\\n#ifdef USE_AOMAP\\\\n\\\\n\\\\t// reads channel R, compatible with a combined OcclusionRoughnessMetallic (RGB) texture\\\\n\\\\tfloat ambientOcclusion = ( texture2D( aoMap, vUv2 ).r - 1.0 ) * aoMapIntensity + 1.0;\\\\n\\\\n\\\\treflectedLight.indirectDiffuse *= ambientOcclusion;\\\\n\\\\n\\\\t#if defined( USE_ENVMAP ) && defined( STANDARD )\\\\n\\\\n\\\\t\\\\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\\\\n\\\\n\\\\t\\\\treflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness );\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",aomap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_AOMAP\\\\n\\\\n\\\\tuniform sampler2D aoMap;\\\\n\\\\tuniform float aoMapIntensity;\\\\n\\\\n#endif\\\\n\\\\\\\",begin_vertex:\\\\\\\"\\\\nvec3 transformed = vec3( position );\\\\n\\\\\\\",beginnormal_vertex:\\\\\\\"\\\\nvec3 objectNormal = vec3( normal );\\\\n\\\\n#ifdef USE_TANGENT\\\\n\\\\n\\\\tvec3 objectTangent = vec3( tangent.xyz );\\\\n\\\\n#endif\\\\n\\\\\\\",bsdfs:'\\\\n\\\\nvec3 BRDF_Lambert( const in vec3 diffuseColor ) {\\\\n\\\\n\\\\treturn RECIPROCAL_PI * diffuseColor;\\\\n\\\\n} // validated\\\\n\\\\nvec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) {\\\\n\\\\n\\\\t// Original approximation by Christophe Schlick \\\\'94\\\\n\\\\t// float fresnel = pow( 1.0 - dotVH, 5.0 );\\\\n\\\\n\\\\t// Optimized variant (presented by Epic at SIGGRAPH \\\\'13)\\\\n\\\\t// https://cdn2.unrealengine.com/Resources/files/2013SiggraphPresentationsNotes-26915738.pdf\\\\n\\\\tfloat fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );\\\\n\\\\n\\\\treturn f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );\\\\n\\\\n} // validated\\\\n\\\\n// Moving Frostbite to Physically Based Rendering 3.0 - page 12, listing 2\\\\n// https://seblagarde.files.wordpress.com/2015/07/course_notes_moving_frostbite_to_pbr_v32.pdf\\\\nfloat V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {\\\\n\\\\n\\\\tfloat a2 = pow2( alpha );\\\\n\\\\n\\\\tfloat gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\\\\n\\\\tfloat gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\\\\n\\\\n\\\\treturn 0.5 / max( gv + gl, EPSILON );\\\\n\\\\n}\\\\n\\\\n// Microfacet Models for Refraction through Rough Surfaces - equation (33)\\\\n// http://graphicrants.blogspot.com/2013/08/specular-brdf-reference.html\\\\n// alpha is \\\\\\\"roughness squared\\\\\\\" in Disney’s reparameterization\\\\nfloat D_GGX( const in float alpha, const in float dotNH ) {\\\\n\\\\n\\\\tfloat a2 = pow2( alpha );\\\\n\\\\n\\\\tfloat denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0; // avoid alpha = 0 with dotNH = 1\\\\n\\\\n\\\\treturn RECIPROCAL_PI * a2 / pow2( denom );\\\\n\\\\n}\\\\n\\\\n// GGX Distribution, Schlick Fresnel, GGX_SmithCorrelated Visibility\\\\nvec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 f0, const in float f90, const in float roughness ) {\\\\n\\\\n\\\\tfloat alpha = pow2( roughness ); // UE4\\\\'s roughness\\\\n\\\\n\\\\tvec3 halfDir = normalize( lightDir + viewDir );\\\\n\\\\n\\\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\\\n\\\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\\\n\\\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\\\n\\\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\\\n\\\\n\\\\tvec3 F = F_Schlick( f0, f90, dotVH );\\\\n\\\\n\\\\tfloat V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );\\\\n\\\\n\\\\tfloat D = D_GGX( alpha, dotNH );\\\\n\\\\n\\\\treturn F * ( V * D );\\\\n\\\\n}\\\\n\\\\n// Rect Area Light\\\\n\\\\n// Real-Time Polygonal-Light Shading with Linearly Transformed Cosines\\\\n// by Eric Heitz, Jonathan Dupuy, Stephen Hill and David Neubelt\\\\n// code: https://github.com/selfshadow/ltc_code/\\\\n\\\\nvec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {\\\\n\\\\n\\\\tconst float LUT_SIZE = 64.0;\\\\n\\\\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\\\\n\\\\tconst float LUT_BIAS = 0.5 / LUT_SIZE;\\\\n\\\\n\\\\tfloat dotNV = saturate( dot( N, V ) );\\\\n\\\\n\\\\t// texture parameterized by sqrt( GGX alpha ) and sqrt( 1 - cos( theta ) )\\\\n\\\\tvec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );\\\\n\\\\n\\\\tuv = uv * LUT_SCALE + LUT_BIAS;\\\\n\\\\n\\\\treturn uv;\\\\n\\\\n}\\\\n\\\\nfloat LTC_ClippedSphereFormFactor( const in vec3 f ) {\\\\n\\\\n\\\\t// Real-Time Area Lighting: a Journey from Research to Production (p.102)\\\\n\\\\t// An approximation of the form factor of a horizon-clipped rectangle.\\\\n\\\\n\\\\tfloat l = length( f );\\\\n\\\\n\\\\treturn max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );\\\\n\\\\n}\\\\n\\\\nvec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {\\\\n\\\\n\\\\tfloat x = dot( v1, v2 );\\\\n\\\\n\\\\tfloat y = abs( x );\\\\n\\\\n\\\\t// rational polynomial approximation to theta / sin( theta ) / 2PI\\\\n\\\\tfloat a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;\\\\n\\\\tfloat b = 3.4175940 + ( 4.1616724 + y ) * y;\\\\n\\\\tfloat v = a / b;\\\\n\\\\n\\\\tfloat theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;\\\\n\\\\n\\\\treturn cross( v1, v2 ) * theta_sintheta;\\\\n\\\\n}\\\\n\\\\nvec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {\\\\n\\\\n\\\\t// bail if point is on back side of plane of light\\\\n\\\\t// assumes ccw winding order of light vertices\\\\n\\\\tvec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];\\\\n\\\\tvec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];\\\\n\\\\tvec3 lightNormal = cross( v1, v2 );\\\\n\\\\n\\\\tif( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );\\\\n\\\\n\\\\t// construct orthonormal basis around N\\\\n\\\\tvec3 T1, T2;\\\\n\\\\tT1 = normalize( V - N * dot( V, N ) );\\\\n\\\\tT2 = - cross( N, T1 ); // negated from paper; possibly due to a different handedness of world coordinate system\\\\n\\\\n\\\\t// compute transform\\\\n\\\\tmat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );\\\\n\\\\n\\\\t// transform rect\\\\n\\\\tvec3 coords[ 4 ];\\\\n\\\\tcoords[ 0 ] = mat * ( rectCoords[ 0 ] - P );\\\\n\\\\tcoords[ 1 ] = mat * ( rectCoords[ 1 ] - P );\\\\n\\\\tcoords[ 2 ] = mat * ( rectCoords[ 2 ] - P );\\\\n\\\\tcoords[ 3 ] = mat * ( rectCoords[ 3 ] - P );\\\\n\\\\n\\\\t// project rect onto sphere\\\\n\\\\tcoords[ 0 ] = normalize( coords[ 0 ] );\\\\n\\\\tcoords[ 1 ] = normalize( coords[ 1 ] );\\\\n\\\\tcoords[ 2 ] = normalize( coords[ 2 ] );\\\\n\\\\tcoords[ 3 ] = normalize( coords[ 3 ] );\\\\n\\\\n\\\\t// calculate vector form factor\\\\n\\\\tvec3 vectorFormFactor = vec3( 0.0 );\\\\n\\\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );\\\\n\\\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );\\\\n\\\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );\\\\n\\\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );\\\\n\\\\n\\\\t// adjust for horizon clipping\\\\n\\\\tfloat result = LTC_ClippedSphereFormFactor( vectorFormFactor );\\\\n\\\\n/*\\\\n\\\\t// alternate method of adjusting for horizon clipping (see referece)\\\\n\\\\t// refactoring required\\\\n\\\\tfloat len = length( vectorFormFactor );\\\\n\\\\tfloat z = vectorFormFactor.z / len;\\\\n\\\\n\\\\tconst float LUT_SIZE = 64.0;\\\\n\\\\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\\\\n\\\\tconst float LUT_BIAS = 0.5 / LUT_SIZE;\\\\n\\\\n\\\\t// tabulated horizon-clipped sphere, apparently...\\\\n\\\\tvec2 uv = vec2( z * 0.5 + 0.5, len );\\\\n\\\\tuv = uv * LUT_SCALE + LUT_BIAS;\\\\n\\\\n\\\\tfloat scale = texture2D( ltc_2, uv ).w;\\\\n\\\\n\\\\tfloat result = len * scale;\\\\n*/\\\\n\\\\n\\\\treturn vec3( result );\\\\n\\\\n}\\\\n\\\\n// End Rect Area Light\\\\n\\\\n\\\\nfloat G_BlinnPhong_Implicit( /* const in float dotNL, const in float dotNV */ ) {\\\\n\\\\n\\\\t// geometry term is (n dot l)(n dot v) / 4(n dot l)(n dot v)\\\\n\\\\treturn 0.25;\\\\n\\\\n}\\\\n\\\\nfloat D_BlinnPhong( const in float shininess, const in float dotNH ) {\\\\n\\\\n\\\\treturn RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );\\\\n\\\\n}\\\\n\\\\nvec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) {\\\\n\\\\n\\\\tvec3 halfDir = normalize( lightDir + viewDir );\\\\n\\\\n\\\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\\\n\\\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\\\n\\\\n\\\\tvec3 F = F_Schlick( specularColor, 1.0, dotVH );\\\\n\\\\n\\\\tfloat G = G_BlinnPhong_Implicit( /* dotNL, dotNV */ );\\\\n\\\\n\\\\tfloat D = D_BlinnPhong( shininess, dotNH );\\\\n\\\\n\\\\treturn F * ( G * D );\\\\n\\\\n} // validated\\\\n\\\\n#if defined( USE_SHEEN )\\\\n\\\\n// https://github.com/google/filament/blob/master/shaders/src/brdf.fs\\\\nfloat D_Charlie( float roughness, float dotNH ) {\\\\n\\\\n\\\\tfloat alpha = pow2( roughness );\\\\n\\\\n\\\\t// Estevez and Kulla 2017, \\\\\\\"Production Friendly Microfacet Sheen BRDF\\\\\\\"\\\\n\\\\tfloat invAlpha = 1.0 / alpha;\\\\n\\\\tfloat cos2h = dotNH * dotNH;\\\\n\\\\tfloat sin2h = max( 1.0 - cos2h, 0.0078125 ); // 2^(-14/2), so sin2h^2 > 0 in fp16\\\\n\\\\n\\\\treturn ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI );\\\\n\\\\n}\\\\n\\\\n// https://github.com/google/filament/blob/master/shaders/src/brdf.fs\\\\nfloat V_Neubelt( float dotNV, float dotNL ) {\\\\n\\\\n\\\\t// Neubelt and Pettineo 2013, \\\\\\\"Crafting a Next-gen Material Pipeline for The Order: 1886\\\\\\\"\\\\n\\\\treturn saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) );\\\\n\\\\n}\\\\n\\\\nvec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenTint, const in float sheenRoughness ) {\\\\n\\\\n\\\\tvec3 halfDir = normalize( lightDir + viewDir );\\\\n\\\\n\\\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\\\n\\\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\\\n\\\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\\\n\\\\n\\\\tfloat D = D_Charlie( sheenRoughness, dotNH );\\\\n\\\\tfloat V = V_Neubelt( dotNV, dotNL );\\\\n\\\\n\\\\treturn sheenTint * ( D * V );\\\\n\\\\n}\\\\n\\\\n#endif\\\\n',bumpmap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_BUMPMAP\\\\n\\\\n\\\\tuniform sampler2D bumpMap;\\\\n\\\\tuniform float bumpScale;\\\\n\\\\n\\\\t// Bump Mapping Unparametrized Surfaces on the GPU by Morten S. Mikkelsen\\\\n\\\\t// http://api.unrealengine.com/attachments/Engine/Rendering/LightingAndShadows/BumpMappingWithoutTangentSpace/mm_sfgrad_bump.pdf\\\\n\\\\n\\\\t// Evaluate the derivative of the height w.r.t. screen-space using forward differencing (listing 2)\\\\n\\\\n\\\\tvec2 dHdxy_fwd() {\\\\n\\\\n\\\\t\\\\tvec2 dSTdx = dFdx( vUv );\\\\n\\\\t\\\\tvec2 dSTdy = dFdy( vUv );\\\\n\\\\n\\\\t\\\\tfloat Hll = bumpScale * texture2D( bumpMap, vUv ).x;\\\\n\\\\t\\\\tfloat dBx = bumpScale * texture2D( bumpMap, vUv + dSTdx ).x - Hll;\\\\n\\\\t\\\\tfloat dBy = bumpScale * texture2D( bumpMap, vUv + dSTdy ).x - Hll;\\\\n\\\\n\\\\t\\\\treturn vec2( dBx, dBy );\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tvec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) {\\\\n\\\\n\\\\t\\\\t// Workaround for Adreno 3XX dFd*( vec3 ) bug. See #9988\\\\n\\\\n\\\\t\\\\tvec3 vSigmaX = vec3( dFdx( surf_pos.x ), dFdx( surf_pos.y ), dFdx( surf_pos.z ) );\\\\n\\\\t\\\\tvec3 vSigmaY = vec3( dFdy( surf_pos.x ), dFdy( surf_pos.y ), dFdy( surf_pos.z ) );\\\\n\\\\t\\\\tvec3 vN = surf_norm;\\\\t\\\\t// normalized\\\\n\\\\n\\\\t\\\\tvec3 R1 = cross( vSigmaY, vN );\\\\n\\\\t\\\\tvec3 R2 = cross( vN, vSigmaX );\\\\n\\\\n\\\\t\\\\tfloat fDet = dot( vSigmaX, R1 ) * faceDirection;\\\\n\\\\n\\\\t\\\\tvec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );\\\\n\\\\t\\\\treturn normalize( abs( fDet ) * surf_norm - vGrad );\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\\\\",clipping_planes_fragment:\\\\\\\"\\\\n#if NUM_CLIPPING_PLANES > 0\\\\n\\\\n\\\\tvec4 plane;\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {\\\\n\\\\n\\\\t\\\\tplane = clippingPlanes[ i ];\\\\n\\\\t\\\\tif ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n\\\\t#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES\\\\n\\\\n\\\\t\\\\tbool clipped = true;\\\\n\\\\n\\\\t\\\\t#pragma unroll_loop_start\\\\n\\\\t\\\\tfor ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {\\\\n\\\\n\\\\t\\\\t\\\\tplane = clippingPlanes[ i ];\\\\n\\\\t\\\\t\\\\tclipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\t#pragma unroll_loop_end\\\\n\\\\n\\\\t\\\\tif ( clipped ) discard;\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",clipping_planes_pars_fragment:\\\\\\\"\\\\n#if NUM_CLIPPING_PLANES > 0\\\\n\\\\n\\\\tvarying vec3 vClipPosition;\\\\n\\\\n\\\\tuniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];\\\\n\\\\n#endif\\\\n\\\\\\\",clipping_planes_pars_vertex:\\\\\\\"\\\\n#if NUM_CLIPPING_PLANES > 0\\\\n\\\\n\\\\tvarying vec3 vClipPosition;\\\\n\\\\n#endif\\\\n\\\\\\\",clipping_planes_vertex:\\\\\\\"\\\\n#if NUM_CLIPPING_PLANES > 0\\\\n\\\\n\\\\tvClipPosition = - mvPosition.xyz;\\\\n\\\\n#endif\\\\n\\\\\\\",color_fragment:\\\\\\\"\\\\n#if defined( USE_COLOR_ALPHA )\\\\n\\\\n\\\\tdiffuseColor *= vColor;\\\\n\\\\n#elif defined( USE_COLOR )\\\\n\\\\n\\\\tdiffuseColor.rgb *= vColor;\\\\n\\\\n#endif\\\\n\\\\\\\",color_pars_fragment:\\\\\\\"\\\\n#if defined( USE_COLOR_ALPHA )\\\\n\\\\n\\\\tvarying vec4 vColor;\\\\n\\\\n#elif defined( USE_COLOR )\\\\n\\\\n\\\\tvarying vec3 vColor;\\\\n\\\\n#endif\\\\n\\\\\\\",color_pars_vertex:\\\\\\\"\\\\n#if defined( USE_COLOR_ALPHA )\\\\n\\\\n\\\\tvarying vec4 vColor;\\\\n\\\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\\\n\\\\n\\\\tvarying vec3 vColor;\\\\n\\\\n#endif\\\\n\\\\\\\",color_vertex:\\\\\\\"\\\\n#if defined( USE_COLOR_ALPHA )\\\\n\\\\n\\\\tvColor = vec4( 1.0 );\\\\n\\\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\\\n\\\\n\\\\tvColor = vec3( 1.0 );\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_COLOR\\\\n\\\\n\\\\tvColor *= color;\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_INSTANCING_COLOR\\\\n\\\\n\\\\tvColor.xyz *= instanceColor.xyz;\\\\n\\\\n#endif\\\\n\\\\\\\",common:\\\\\\\"\\\\n#define PI 3.141592653589793\\\\n#define PI2 6.283185307179586\\\\n#define PI_HALF 1.5707963267948966\\\\n#define RECIPROCAL_PI 0.3183098861837907\\\\n#define RECIPROCAL_PI2 0.15915494309189535\\\\n#define EPSILON 1e-6\\\\n\\\\n#ifndef saturate\\\\n// may have defined saturate() already\\\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\\\n#endif\\\\n#define whiteComplement( a ) ( 1.0 - saturate( a ) )\\\\n\\\\nfloat pow2( const in float x ) { return x*x; }\\\\nfloat pow3( const in float x ) { return x*x*x; }\\\\nfloat pow4( const in float x ) { float x2 = x*x; return x2*x2; }\\\\nfloat max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); }\\\\nfloat average( const in vec3 color ) { return dot( color, vec3( 0.3333 ) ); }\\\\n\\\\n// expects values in the range of [0,1]x[0,1], returns values in the [0,1] range.\\\\n// do not collapse into a single function per: http://byteblacksmith.com/improvements-to-the-canonical-one-liner-glsl-rand-for-opengl-es-2-0/\\\\nhighp float rand( const in vec2 uv ) {\\\\n\\\\n\\\\tconst highp float a = 12.9898, b = 78.233, c = 43758.5453;\\\\n\\\\thighp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\\\\n\\\\n\\\\treturn fract( sin( sn ) * c );\\\\n\\\\n}\\\\n\\\\n#ifdef HIGH_PRECISION\\\\n\\\\tfloat precisionSafeLength( vec3 v ) { return length( v ); }\\\\n#else\\\\n\\\\tfloat precisionSafeLength( vec3 v ) {\\\\n\\\\t\\\\tfloat maxComponent = max3( abs( v ) );\\\\n\\\\t\\\\treturn length( v / maxComponent ) * maxComponent;\\\\n\\\\t}\\\\n#endif\\\\n\\\\nstruct IncidentLight {\\\\n\\\\tvec3 color;\\\\n\\\\tvec3 direction;\\\\n\\\\tbool visible;\\\\n};\\\\n\\\\nstruct ReflectedLight {\\\\n\\\\tvec3 directDiffuse;\\\\n\\\\tvec3 directSpecular;\\\\n\\\\tvec3 indirectDiffuse;\\\\n\\\\tvec3 indirectSpecular;\\\\n};\\\\n\\\\nstruct GeometricContext {\\\\n\\\\tvec3 position;\\\\n\\\\tvec3 normal;\\\\n\\\\tvec3 viewDir;\\\\n#ifdef USE_CLEARCOAT\\\\n\\\\tvec3 clearcoatNormal;\\\\n#endif\\\\n};\\\\n\\\\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\\\n\\\\n\\\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\\\n\\\\n}\\\\n\\\\nvec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\\\\n\\\\n\\\\t// dir can be either a direction vector or a normal vector\\\\n\\\\t// upper-left 3x3 of matrix is assumed to be orthogonal\\\\n\\\\n\\\\treturn normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\\\\n\\\\n}\\\\n\\\\nmat3 transposeMat3( const in mat3 m ) {\\\\n\\\\n\\\\tmat3 tmp;\\\\n\\\\n\\\\ttmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\\\\n\\\\ttmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\\\\n\\\\ttmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\\\\n\\\\n\\\\treturn tmp;\\\\n\\\\n}\\\\n\\\\n// https://en.wikipedia.org/wiki/Relative_luminance\\\\nfloat linearToRelativeLuminance( const in vec3 color ) {\\\\n\\\\n\\\\tvec3 weights = vec3( 0.2126, 0.7152, 0.0722 );\\\\n\\\\n\\\\treturn dot( weights, color.rgb );\\\\n\\\\n}\\\\n\\\\nbool isPerspectiveMatrix( mat4 m ) {\\\\n\\\\n\\\\treturn m[ 2 ][ 3 ] == - 1.0;\\\\n\\\\n}\\\\n\\\\nvec2 equirectUv( in vec3 dir ) {\\\\n\\\\n\\\\t// dir is assumed to be unit length\\\\n\\\\n\\\\tfloat u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;\\\\n\\\\n\\\\tfloat v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\\\n\\\\n\\\\treturn vec2( u, v );\\\\n\\\\n}\\\\n\\\\\\\",cube_uv_reflection_fragment:\\\\\\\"\\\\n#ifdef ENVMAP_TYPE_CUBE_UV\\\\n\\\\n\\\\t#define cubeUV_maxMipLevel 8.0\\\\n\\\\t#define cubeUV_minMipLevel 4.0\\\\n\\\\t#define cubeUV_maxTileSize 256.0\\\\n\\\\t#define cubeUV_minTileSize 16.0\\\\n\\\\n\\\\t// These shader functions convert between the UV coordinates of a single face of\\\\n\\\\t// a cubemap, the 0-5 integer index of a cube face, and the direction vector for\\\\n\\\\t// sampling a textureCube (not generally normalized ).\\\\n\\\\n\\\\tfloat getFace( vec3 direction ) {\\\\n\\\\n\\\\t\\\\tvec3 absDirection = abs( direction );\\\\n\\\\n\\\\t\\\\tfloat face = - 1.0;\\\\n\\\\n\\\\t\\\\tif ( absDirection.x > absDirection.z ) {\\\\n\\\\n\\\\t\\\\t\\\\tif ( absDirection.x > absDirection.y )\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tface = direction.x > 0.0 ? 0.0 : 3.0;\\\\n\\\\n\\\\t\\\\t\\\\telse\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\\\n\\\\n\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\tif ( absDirection.z > absDirection.y )\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tface = direction.z > 0.0 ? 2.0 : 5.0;\\\\n\\\\n\\\\t\\\\t\\\\telse\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\treturn face;\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\t// RH coordinate system; PMREM face-indexing convention\\\\n\\\\tvec2 getUV( vec3 direction, float face ) {\\\\n\\\\n\\\\t\\\\tvec2 uv;\\\\n\\\\n\\\\t\\\\tif ( face == 0.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\tuv = vec2( direction.z, direction.y ) / abs( direction.x ); // pos x\\\\n\\\\n\\\\t\\\\t} else if ( face == 1.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\tuv = vec2( - direction.x, - direction.z ) / abs( direction.y ); // pos y\\\\n\\\\n\\\\t\\\\t} else if ( face == 2.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\tuv = vec2( - direction.x, direction.y ) / abs( direction.z ); // pos z\\\\n\\\\n\\\\t\\\\t} else if ( face == 3.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\tuv = vec2( - direction.z, direction.y ) / abs( direction.x ); // neg x\\\\n\\\\n\\\\t\\\\t} else if ( face == 4.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\tuv = vec2( - direction.x, direction.z ) / abs( direction.y ); // neg y\\\\n\\\\n\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\tuv = vec2( direction.x, direction.y ) / abs( direction.z ); // neg z\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\treturn 0.5 * ( uv + 1.0 );\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tvec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {\\\\n\\\\n\\\\t\\\\tfloat face = getFace( direction );\\\\n\\\\n\\\\t\\\\tfloat filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );\\\\n\\\\n\\\\t\\\\tmipInt = max( mipInt, cubeUV_minMipLevel );\\\\n\\\\n\\\\t\\\\tfloat faceSize = exp2( mipInt );\\\\n\\\\n\\\\t\\\\tfloat texelSize = 1.0 / ( 3.0 * cubeUV_maxTileSize );\\\\n\\\\n\\\\t\\\\tvec2 uv = getUV( direction, face ) * ( faceSize - 1.0 );\\\\n\\\\n\\\\t\\\\tvec2 f = fract( uv );\\\\n\\\\n\\\\t\\\\tuv += 0.5 - f;\\\\n\\\\n\\\\t\\\\tif ( face > 2.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\tuv.y += faceSize;\\\\n\\\\n\\\\t\\\\t\\\\tface -= 3.0;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tuv.x += face * faceSize;\\\\n\\\\n\\\\t\\\\tif ( mipInt < cubeUV_maxMipLevel ) {\\\\n\\\\n\\\\t\\\\t\\\\tuv.y += 2.0 * cubeUV_maxTileSize;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tuv.y += filterInt * 2.0 * cubeUV_minTileSize;\\\\n\\\\n\\\\t\\\\tuv.x += 3.0 * max( 0.0, cubeUV_maxTileSize - 2.0 * faceSize );\\\\n\\\\n\\\\t\\\\tuv *= texelSize;\\\\n\\\\n\\\\t\\\\tvec3 tl = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\\\n\\\\n\\\\t\\\\tuv.x += texelSize;\\\\n\\\\n\\\\t\\\\tvec3 tr = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\\\n\\\\n\\\\t\\\\tuv.y += texelSize;\\\\n\\\\n\\\\t\\\\tvec3 br = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\\\n\\\\n\\\\t\\\\tuv.x -= texelSize;\\\\n\\\\n\\\\t\\\\tvec3 bl = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\\\n\\\\n\\\\t\\\\tvec3 tm = mix( tl, tr, f.x );\\\\n\\\\n\\\\t\\\\tvec3 bm = mix( bl, br, f.x );\\\\n\\\\n\\\\t\\\\treturn mix( tm, bm, f.y );\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\t// These defines must match with PMREMGenerator\\\\n\\\\n\\\\t#define r0 1.0\\\\n\\\\t#define v0 0.339\\\\n\\\\t#define m0 - 2.0\\\\n\\\\t#define r1 0.8\\\\n\\\\t#define v1 0.276\\\\n\\\\t#define m1 - 1.0\\\\n\\\\t#define r4 0.4\\\\n\\\\t#define v4 0.046\\\\n\\\\t#define m4 2.0\\\\n\\\\t#define r5 0.305\\\\n\\\\t#define v5 0.016\\\\n\\\\t#define m5 3.0\\\\n\\\\t#define r6 0.21\\\\n\\\\t#define v6 0.0038\\\\n\\\\t#define m6 4.0\\\\n\\\\n\\\\tfloat roughnessToMip( float roughness ) {\\\\n\\\\n\\\\t\\\\tfloat mip = 0.0;\\\\n\\\\n\\\\t\\\\tif ( roughness >= r1 ) {\\\\n\\\\n\\\\t\\\\t\\\\tmip = ( r0 - roughness ) * ( m1 - m0 ) / ( r0 - r1 ) + m0;\\\\n\\\\n\\\\t\\\\t} else if ( roughness >= r4 ) {\\\\n\\\\n\\\\t\\\\t\\\\tmip = ( r1 - roughness ) * ( m4 - m1 ) / ( r1 - r4 ) + m1;\\\\n\\\\n\\\\t\\\\t} else if ( roughness >= r5 ) {\\\\n\\\\n\\\\t\\\\t\\\\tmip = ( r4 - roughness ) * ( m5 - m4 ) / ( r4 - r5 ) + m4;\\\\n\\\\n\\\\t\\\\t} else if ( roughness >= r6 ) {\\\\n\\\\n\\\\t\\\\t\\\\tmip = ( r5 - roughness ) * ( m6 - m5 ) / ( r5 - r6 ) + m5;\\\\n\\\\n\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\tmip = - 2.0 * log2( 1.16 * roughness ); // 1.16 = 1.79^0.25\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\treturn mip;\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tvec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {\\\\n\\\\n\\\\t\\\\tfloat mip = clamp( roughnessToMip( roughness ), m0, cubeUV_maxMipLevel );\\\\n\\\\n\\\\t\\\\tfloat mipF = fract( mip );\\\\n\\\\n\\\\t\\\\tfloat mipInt = floor( mip );\\\\n\\\\n\\\\t\\\\tvec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );\\\\n\\\\n\\\\t\\\\tif ( mipF == 0.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\treturn vec4( color0, 1.0 );\\\\n\\\\n\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\tvec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\treturn vec4( mix( color0, color1, mipF ), 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\\\\",defaultnormal_vertex:\\\\\\\"\\\\nvec3 transformedNormal = objectNormal;\\\\n\\\\n#ifdef USE_INSTANCING\\\\n\\\\n\\\\t// this is in lieu of a per-instance normal-matrix\\\\n\\\\t// shear transforms in the instance matrix are not supported\\\\n\\\\n\\\\tmat3 m = mat3( instanceMatrix );\\\\n\\\\n\\\\ttransformedNormal /= vec3( dot( m[ 0 ], m[ 0 ] ), dot( m[ 1 ], m[ 1 ] ), dot( m[ 2 ], m[ 2 ] ) );\\\\n\\\\n\\\\ttransformedNormal = m * transformedNormal;\\\\n\\\\n#endif\\\\n\\\\ntransformedNormal = normalMatrix * transformedNormal;\\\\n\\\\n#ifdef FLIP_SIDED\\\\n\\\\n\\\\ttransformedNormal = - transformedNormal;\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_TANGENT\\\\n\\\\n\\\\tvec3 transformedTangent = ( modelViewMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\\\n\\\\n\\\\t#ifdef FLIP_SIDED\\\\n\\\\n\\\\t\\\\ttransformedTangent = - transformedTangent;\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",displacementmap_pars_vertex:\\\\\\\"\\\\n#ifdef USE_DISPLACEMENTMAP\\\\n\\\\n\\\\tuniform sampler2D displacementMap;\\\\n\\\\tuniform float displacementScale;\\\\n\\\\tuniform float displacementBias;\\\\n\\\\n#endif\\\\n\\\\\\\",displacementmap_vertex:\\\\\\\"\\\\n#ifdef USE_DISPLACEMENTMAP\\\\n\\\\n\\\\ttransformed += normalize( objectNormal ) * ( texture2D( displacementMap, vUv ).x * displacementScale + displacementBias );\\\\n\\\\n#endif\\\\n\\\\\\\",emissivemap_fragment:\\\\\\\"\\\\n#ifdef USE_EMISSIVEMAP\\\\n\\\\n\\\\tvec4 emissiveColor = texture2D( emissiveMap, vUv );\\\\n\\\\n\\\\temissiveColor.rgb = emissiveMapTexelToLinear( emissiveColor ).rgb;\\\\n\\\\n\\\\ttotalEmissiveRadiance *= emissiveColor.rgb;\\\\n\\\\n#endif\\\\n\\\\\\\",emissivemap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_EMISSIVEMAP\\\\n\\\\n\\\\tuniform sampler2D emissiveMap;\\\\n\\\\n#endif\\\\n\\\\\\\",encodings_fragment:\\\\\\\"\\\\ngl_FragColor = linearToOutputTexel( gl_FragColor );\\\\n\\\\\\\",encodings_pars_fragment:\\\\\\\"\\\\n// For a discussion of what this is, please read this: http://lousodrome.net/blog/light/2013/05/26/gamma-correct-and-hdr-rendering-in-a-32-bits-buffer/\\\\n\\\\nvec4 LinearToLinear( in vec4 value ) {\\\\n\\\\treturn value;\\\\n}\\\\n\\\\nvec4 GammaToLinear( in vec4 value, in float gammaFactor ) {\\\\n\\\\treturn vec4( pow( value.rgb, vec3( gammaFactor ) ), value.a );\\\\n}\\\\n\\\\nvec4 LinearToGamma( in vec4 value, in float gammaFactor ) {\\\\n\\\\treturn vec4( pow( value.rgb, vec3( 1.0 / gammaFactor ) ), value.a );\\\\n}\\\\n\\\\nvec4 sRGBToLinear( in vec4 value ) {\\\\n\\\\treturn vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a );\\\\n}\\\\n\\\\nvec4 LinearTosRGB( in vec4 value ) {\\\\n\\\\treturn vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );\\\\n}\\\\n\\\\nvec4 RGBEToLinear( in vec4 value ) {\\\\n\\\\treturn vec4( value.rgb * exp2( value.a * 255.0 - 128.0 ), 1.0 );\\\\n}\\\\n\\\\nvec4 LinearToRGBE( in vec4 value ) {\\\\n\\\\tfloat maxComponent = max( max( value.r, value.g ), value.b );\\\\n\\\\tfloat fExp = clamp( ceil( log2( maxComponent ) ), -128.0, 127.0 );\\\\n\\\\treturn vec4( value.rgb / exp2( fExp ), ( fExp + 128.0 ) / 255.0 );\\\\n\\\\t// return vec4( value.brg, ( 3.0 + 128.0 ) / 256.0 );\\\\n}\\\\n\\\\n// reference: http://iwasbeingirony.blogspot.ca/2010/06/difference-between-rgbm-and-rgbd.html\\\\nvec4 RGBMToLinear( in vec4 value, in float maxRange ) {\\\\n\\\\treturn vec4( value.rgb * value.a * maxRange, 1.0 );\\\\n}\\\\n\\\\nvec4 LinearToRGBM( in vec4 value, in float maxRange ) {\\\\n\\\\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\\\\n\\\\tfloat M = clamp( maxRGB / maxRange, 0.0, 1.0 );\\\\n\\\\tM = ceil( M * 255.0 ) / 255.0;\\\\n\\\\treturn vec4( value.rgb / ( M * maxRange ), M );\\\\n}\\\\n\\\\n// reference: http://iwasbeingirony.blogspot.ca/2010/06/difference-between-rgbm-and-rgbd.html\\\\nvec4 RGBDToLinear( in vec4 value, in float maxRange ) {\\\\n\\\\treturn vec4( value.rgb * ( ( maxRange / 255.0 ) / value.a ), 1.0 );\\\\n}\\\\n\\\\nvec4 LinearToRGBD( in vec4 value, in float maxRange ) {\\\\n\\\\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\\\\n\\\\tfloat D = max( maxRange / maxRGB, 1.0 );\\\\n\\\\t// NOTE: The implementation with min causes the shader to not compile on\\\\n\\\\t// a common Alcatel A502DL in Chrome 78/Android 8.1. Some research suggests \\\\n\\\\t// that the chipset is Mediatek MT6739 w/ IMG PowerVR GE8100 GPU.\\\\n\\\\t// D = min( floor( D ) / 255.0, 1.0 );\\\\n\\\\tD = clamp( floor( D ) / 255.0, 0.0, 1.0 );\\\\n\\\\treturn vec4( value.rgb * ( D * ( 255.0 / maxRange ) ), D );\\\\n}\\\\n\\\\n// LogLuv reference: http://graphicrants.blogspot.ca/2009/04/rgbm-color-encoding.html\\\\n\\\\n// M matrix, for encoding\\\\nconst mat3 cLogLuvM = mat3( 0.2209, 0.3390, 0.4184, 0.1138, 0.6780, 0.7319, 0.0102, 0.1130, 0.2969 );\\\\nvec4 LinearToLogLuv( in vec4 value ) {\\\\n\\\\tvec3 Xp_Y_XYZp = cLogLuvM * value.rgb;\\\\n\\\\tXp_Y_XYZp = max( Xp_Y_XYZp, vec3( 1e-6, 1e-6, 1e-6 ) );\\\\n\\\\tvec4 vResult;\\\\n\\\\tvResult.xy = Xp_Y_XYZp.xy / Xp_Y_XYZp.z;\\\\n\\\\tfloat Le = 2.0 * log2(Xp_Y_XYZp.y) + 127.0;\\\\n\\\\tvResult.w = fract( Le );\\\\n\\\\tvResult.z = ( Le - ( floor( vResult.w * 255.0 ) ) / 255.0 ) / 255.0;\\\\n\\\\treturn vResult;\\\\n}\\\\n\\\\n// Inverse M matrix, for decoding\\\\nconst mat3 cLogLuvInverseM = mat3( 6.0014, -2.7008, -1.7996, -1.3320, 3.1029, -5.7721, 0.3008, -1.0882, 5.6268 );\\\\nvec4 LogLuvToLinear( in vec4 value ) {\\\\n\\\\tfloat Le = value.z * 255.0 + value.w;\\\\n\\\\tvec3 Xp_Y_XYZp;\\\\n\\\\tXp_Y_XYZp.y = exp2( ( Le - 127.0 ) / 2.0 );\\\\n\\\\tXp_Y_XYZp.z = Xp_Y_XYZp.y / value.y;\\\\n\\\\tXp_Y_XYZp.x = value.x * Xp_Y_XYZp.z;\\\\n\\\\tvec3 vRGB = cLogLuvInverseM * Xp_Y_XYZp.rgb;\\\\n\\\\treturn vec4( max( vRGB, 0.0 ), 1.0 );\\\\n}\\\\n\\\\\\\",envmap_fragment:\\\\\\\"\\\\n#ifdef USE_ENVMAP\\\\n\\\\n\\\\t#ifdef ENV_WORLDPOS\\\\n\\\\n\\\\t\\\\tvec3 cameraToFrag;\\\\n\\\\n\\\\t\\\\tif ( isOrthographic ) {\\\\n\\\\n\\\\t\\\\t\\\\tcameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\\\n\\\\n\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\tcameraToFrag = normalize( vWorldPosition - cameraPosition );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t// Transforming Normal Vectors with the Inverse Transformation\\\\n\\\\t\\\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\\\n\\\\n\\\\t\\\\t#ifdef ENVMAP_MODE_REFLECTION\\\\n\\\\n\\\\t\\\\t\\\\tvec3 reflectVec = reflect( cameraToFrag, worldNormal );\\\\n\\\\n\\\\t\\\\t#else\\\\n\\\\n\\\\t\\\\t\\\\tvec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tvec3 reflectVec = vReflect;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef ENVMAP_TYPE_CUBE\\\\n\\\\n\\\\t\\\\tvec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );\\\\n\\\\n\\\\t\\\\tenvColor = envMapTexelToLinear( envColor );\\\\n\\\\n\\\\t#elif defined( ENVMAP_TYPE_CUBE_UV )\\\\n\\\\n\\\\t\\\\tvec4 envColor = textureCubeUV( envMap, reflectVec, 0.0 );\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tvec4 envColor = vec4( 0.0 );\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef ENVMAP_BLENDING_MULTIPLY\\\\n\\\\n\\\\t\\\\toutgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );\\\\n\\\\n\\\\t#elif defined( ENVMAP_BLENDING_MIX )\\\\n\\\\n\\\\t\\\\toutgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );\\\\n\\\\n\\\\t#elif defined( ENVMAP_BLENDING_ADD )\\\\n\\\\n\\\\t\\\\toutgoingLight += envColor.xyz * specularStrength * reflectivity;\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",envmap_common_pars_fragment:\\\\\\\"\\\\n#ifdef USE_ENVMAP\\\\n\\\\n\\\\tuniform float envMapIntensity;\\\\n\\\\tuniform float flipEnvMap;\\\\n\\\\tuniform int maxMipLevel;\\\\n\\\\n\\\\t#ifdef ENVMAP_TYPE_CUBE\\\\n\\\\t\\\\tuniform samplerCube envMap;\\\\n\\\\t#else\\\\n\\\\t\\\\tuniform sampler2D envMap;\\\\n\\\\t#endif\\\\n\\\\t\\\\n#endif\\\\n\\\\\\\",envmap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_ENVMAP\\\\n\\\\n\\\\tuniform float reflectivity;\\\\n\\\\n\\\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG )\\\\n\\\\n\\\\t\\\\t#define ENV_WORLDPOS\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef ENV_WORLDPOS\\\\n\\\\n\\\\t\\\\tvarying vec3 vWorldPosition;\\\\n\\\\t\\\\tuniform float refractionRatio;\\\\n\\\\t#else\\\\n\\\\t\\\\tvarying vec3 vReflect;\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",envmap_pars_vertex:\\\\\\\"\\\\n#ifdef USE_ENVMAP\\\\n\\\\n\\\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) ||defined( PHONG )\\\\n\\\\n\\\\t\\\\t#define ENV_WORLDPOS\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef ENV_WORLDPOS\\\\n\\\\t\\\\t\\\\n\\\\t\\\\tvarying vec3 vWorldPosition;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tvarying vec3 vReflect;\\\\n\\\\t\\\\tuniform float refractionRatio;\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",envmap_physical_pars_fragment:\\\\\\\"\\\\n#if defined( USE_ENVMAP )\\\\n\\\\n\\\\t#ifdef ENVMAP_MODE_REFRACTION\\\\n\\\\n\\\\t\\\\tuniform float refractionRatio;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tvec3 getIBLIrradiance( const in vec3 normal ) {\\\\n\\\\n\\\\t\\\\t#if defined( ENVMAP_TYPE_CUBE_UV )\\\\n\\\\n\\\\t\\\\t\\\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\\\n\\\\n\\\\t\\\\t\\\\tvec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\treturn PI * envMapColor.rgb * envMapIntensity;\\\\n\\\\n\\\\t\\\\t#else\\\\n\\\\n\\\\t\\\\t\\\\treturn vec3( 0.0 );\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tvec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) {\\\\n\\\\n\\\\t\\\\t#if defined( ENVMAP_TYPE_CUBE_UV )\\\\n\\\\n\\\\t\\\\t\\\\tvec3 reflectVec;\\\\n\\\\n\\\\t\\\\t\\\\t#ifdef ENVMAP_MODE_REFLECTION\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treflectVec = reflect( - viewDir, normal );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t// Mixing the reflection with the normal is more accurate and keeps rough objects from gathering light from behind their tangent plane.\\\\n\\\\t\\\\t\\\\t\\\\treflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );\\\\n\\\\n\\\\t\\\\t\\\\t#else\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treflectVec = refract( - viewDir, normal, refractionRatio );\\\\n\\\\n\\\\t\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\t\\\\treflectVec = inverseTransformDirection( reflectVec, viewMatrix );\\\\n\\\\n\\\\t\\\\t\\\\tvec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );\\\\n\\\\n\\\\t\\\\t\\\\treturn envMapColor.rgb * envMapIntensity;\\\\n\\\\n\\\\t\\\\t#else\\\\n\\\\n\\\\t\\\\t\\\\treturn vec3( 0.0 );\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\\\\",envmap_vertex:\\\\\\\"\\\\n#ifdef USE_ENVMAP\\\\n\\\\n\\\\t#ifdef ENV_WORLDPOS\\\\n\\\\n\\\\t\\\\tvWorldPosition = worldPosition.xyz;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tvec3 cameraToVertex;\\\\n\\\\n\\\\t\\\\tif ( isOrthographic ) {\\\\n\\\\n\\\\t\\\\t\\\\tcameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\\\n\\\\n\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\tcameraToVertex = normalize( worldPosition.xyz - cameraPosition );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\\\n\\\\n\\\\t\\\\t#ifdef ENVMAP_MODE_REFLECTION\\\\n\\\\n\\\\t\\\\t\\\\tvReflect = reflect( cameraToVertex, worldNormal );\\\\n\\\\n\\\\t\\\\t#else\\\\n\\\\n\\\\t\\\\t\\\\tvReflect = refract( cameraToVertex, worldNormal, refractionRatio );\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",fog_vertex:\\\\\\\"\\\\n#ifdef USE_FOG\\\\n\\\\n\\\\tvFogDepth = - mvPosition.z;\\\\n\\\\n#endif\\\\n\\\\\\\",fog_pars_vertex:\\\\\\\"\\\\n#ifdef USE_FOG\\\\n\\\\n\\\\tvarying float vFogDepth;\\\\n\\\\n#endif\\\\n\\\\\\\",fog_fragment:\\\\\\\"\\\\n#ifdef USE_FOG\\\\n\\\\n\\\\t#ifdef FOG_EXP2\\\\n\\\\n\\\\t\\\\tfloat fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth );\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tfloat fogFactor = smoothstep( fogNear, fogFar, vFogDepth );\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tgl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );\\\\n\\\\n#endif\\\\n\\\\\\\",fog_pars_fragment:\\\\\\\"\\\\n#ifdef USE_FOG\\\\n\\\\n\\\\tuniform vec3 fogColor;\\\\n\\\\tvarying float vFogDepth;\\\\n\\\\n\\\\t#ifdef FOG_EXP2\\\\n\\\\n\\\\t\\\\tuniform float fogDensity;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tuniform float fogNear;\\\\n\\\\t\\\\tuniform float fogFar;\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",gradientmap_pars_fragment:\\\\\\\"\\\\n\\\\n#ifdef USE_GRADIENTMAP\\\\n\\\\n\\\\tuniform sampler2D gradientMap;\\\\n\\\\n#endif\\\\n\\\\nvec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {\\\\n\\\\n\\\\t// dotNL will be from -1.0 to 1.0\\\\n\\\\tfloat dotNL = dot( normal, lightDirection );\\\\n\\\\tvec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );\\\\n\\\\n\\\\t#ifdef USE_GRADIENTMAP\\\\n\\\\n\\\\t\\\\treturn texture2D( gradientMap, coord ).rgb;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\treturn ( coord.x < 0.7 ) ? vec3( 0.7 ) : vec3( 1.0 );\\\\n\\\\n\\\\t#endif\\\\n\\\\n}\\\\n\\\\\\\",lightmap_fragment:\\\\\\\"\\\\n#ifdef USE_LIGHTMAP\\\\n\\\\n\\\\tvec4 lightMapTexel = texture2D( lightMap, vUv2 );\\\\n\\\\tvec3 lightMapIrradiance = lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\\\n\\\\n\\\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\\\n\\\\n\\\\t\\\\tlightMapIrradiance *= PI;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\treflectedLight.indirectDiffuse += lightMapIrradiance;\\\\n\\\\n#endif\\\\n\\\\\\\",lightmap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_LIGHTMAP\\\\n\\\\n\\\\tuniform sampler2D lightMap;\\\\n\\\\tuniform float lightMapIntensity;\\\\n\\\\n#endif\\\\n\\\\\\\",lights_lambert_vertex:\\\\\\\"\\\\nvec3 diffuse = vec3( 1.0 );\\\\n\\\\nGeometricContext geometry;\\\\ngeometry.position = mvPosition.xyz;\\\\ngeometry.normal = normalize( transformedNormal );\\\\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( -mvPosition.xyz );\\\\n\\\\nGeometricContext backGeometry;\\\\nbackGeometry.position = geometry.position;\\\\nbackGeometry.normal = -geometry.normal;\\\\nbackGeometry.viewDir = geometry.viewDir;\\\\n\\\\nvLightFront = vec3( 0.0 );\\\\nvIndirectFront = vec3( 0.0 );\\\\n#ifdef DOUBLE_SIDED\\\\n\\\\tvLightBack = vec3( 0.0 );\\\\n\\\\tvIndirectBack = vec3( 0.0 );\\\\n#endif\\\\n\\\\nIncidentLight directLight;\\\\nfloat dotNL;\\\\nvec3 directLightColor_Diffuse;\\\\n\\\\nvIndirectFront += getAmbientLightIrradiance( ambientLightColor );\\\\n\\\\nvIndirectFront += getLightProbeIrradiance( lightProbe, geometry.normal );\\\\n\\\\n#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\tvIndirectBack += getAmbientLightIrradiance( ambientLightColor );\\\\n\\\\n\\\\tvIndirectBack += getLightProbeIrradiance( lightProbe, backGeometry.normal );\\\\n\\\\n#endif\\\\n\\\\n#if NUM_POINT_LIGHTS > 0\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\\\n\\\\n\\\\t\\\\tgetPointLightInfo( pointLights[ i ], geometry, directLight );\\\\n\\\\n\\\\t\\\\tdotNL = dot( geometry.normal, directLight.direction );\\\\n\\\\t\\\\tdirectLightColor_Diffuse = directLight.color;\\\\n\\\\n\\\\t\\\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\\\n\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\t\\\\t\\\\tvLightBack += saturate( - dotNL ) * directLightColor_Diffuse;\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n#endif\\\\n\\\\n#if NUM_SPOT_LIGHTS > 0\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\\\n\\\\n\\\\t\\\\tgetSpotLightInfo( spotLights[ i ], geometry, directLight );\\\\n\\\\n\\\\t\\\\tdotNL = dot( geometry.normal, directLight.direction );\\\\n\\\\t\\\\tdirectLightColor_Diffuse = directLight.color;\\\\n\\\\n\\\\t\\\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\\\n\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\t\\\\t\\\\tvLightBack += saturate( - dotNL ) * directLightColor_Diffuse;\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n#endif\\\\n\\\\n#if NUM_DIR_LIGHTS > 0\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\\\n\\\\n\\\\t\\\\tgetDirectionalLightInfo( directionalLights[ i ], geometry, directLight );\\\\n\\\\n\\\\t\\\\tdotNL = dot( geometry.normal, directLight.direction );\\\\n\\\\t\\\\tdirectLightColor_Diffuse = directLight.color;\\\\n\\\\n\\\\t\\\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\\\n\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\t\\\\t\\\\tvLightBack += saturate( - dotNL ) * directLightColor_Diffuse;\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n#endif\\\\n\\\\n#if NUM_HEMI_LIGHTS > 0\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\\\n\\\\n\\\\t\\\\tvIndirectFront += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry.normal );\\\\n\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\t\\\\t\\\\tvIndirectBack += getHemisphereLightIrradiance( hemisphereLights[ i ], backGeometry.normal );\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n#endif\\\\n\\\\\\\",lights_pars_begin:\\\\\\\"\\\\nuniform bool receiveShadow;\\\\nuniform vec3 ambientLightColor;\\\\nuniform vec3 lightProbe[ 9 ];\\\\n\\\\n// get the irradiance (radiance convolved with cosine lobe) at the point 'normal' on the unit sphere\\\\n// source: https://graphics.stanford.edu/papers/envmap/envmap.pdf\\\\nvec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {\\\\n\\\\n\\\\t// normal is assumed to have unit length\\\\n\\\\n\\\\tfloat x = normal.x, y = normal.y, z = normal.z;\\\\n\\\\n\\\\t// band 0\\\\n\\\\tvec3 result = shCoefficients[ 0 ] * 0.886227;\\\\n\\\\n\\\\t// band 1\\\\n\\\\tresult += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;\\\\n\\\\tresult += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;\\\\n\\\\tresult += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;\\\\n\\\\n\\\\t// band 2\\\\n\\\\tresult += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;\\\\n\\\\tresult += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;\\\\n\\\\tresult += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );\\\\n\\\\tresult += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;\\\\n\\\\tresult += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );\\\\n\\\\n\\\\treturn result;\\\\n\\\\n}\\\\n\\\\nvec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) {\\\\n\\\\n\\\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\\\n\\\\n\\\\tvec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );\\\\n\\\\n\\\\treturn irradiance;\\\\n\\\\n}\\\\n\\\\nvec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {\\\\n\\\\n\\\\tvec3 irradiance = ambientLightColor;\\\\n\\\\n\\\\treturn irradiance;\\\\n\\\\n}\\\\n\\\\nfloat getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {\\\\n\\\\n\\\\t#if defined ( PHYSICALLY_CORRECT_LIGHTS )\\\\n\\\\n\\\\t\\\\t// based upon Frostbite 3 Moving to Physically-based Rendering\\\\n\\\\t\\\\t// page 32, equation 26: E[window1]\\\\n\\\\t\\\\t// https://seblagarde.files.wordpress.com/2015/07/course_notes_moving_frostbite_to_pbr_v32.pdf\\\\n\\\\t\\\\tfloat distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );\\\\n\\\\n\\\\t\\\\tif ( cutoffDistance > 0.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\tdistanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\treturn distanceFalloff;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tif ( cutoffDistance > 0.0 && decayExponent > 0.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\treturn pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\treturn 1.0;\\\\n\\\\n\\\\t#endif\\\\n\\\\n}\\\\n\\\\nfloat getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) {\\\\n\\\\n\\\\treturn smoothstep( coneCosine, penumbraCosine, angleCosine );\\\\n\\\\n}\\\\n\\\\n#if NUM_DIR_LIGHTS > 0\\\\n\\\\n\\\\tstruct DirectionalLight {\\\\n\\\\t\\\\tvec3 direction;\\\\n\\\\t\\\\tvec3 color;\\\\n\\\\t};\\\\n\\\\n\\\\tuniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];\\\\n\\\\n\\\\tvoid getDirectionalLightInfo( const in DirectionalLight directionalLight, const in GeometricContext geometry, out IncidentLight light ) {\\\\n\\\\n\\\\t\\\\tlight.color = directionalLight.color;\\\\n\\\\t\\\\tlight.direction = directionalLight.direction;\\\\n\\\\t\\\\tlight.visible = true;\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\n\\\\n#if NUM_POINT_LIGHTS > 0\\\\n\\\\n\\\\tstruct PointLight {\\\\n\\\\t\\\\tvec3 position;\\\\n\\\\t\\\\tvec3 color;\\\\n\\\\t\\\\tfloat distance;\\\\n\\\\t\\\\tfloat decay;\\\\n\\\\t};\\\\n\\\\n\\\\tuniform PointLight pointLights[ NUM_POINT_LIGHTS ];\\\\n\\\\n\\\\t// light is an out parameter as having it as a return value caused compiler errors on some devices\\\\n\\\\tvoid getPointLightInfo( const in PointLight pointLight, const in GeometricContext geometry, out IncidentLight light ) {\\\\n\\\\n\\\\t\\\\tvec3 lVector = pointLight.position - geometry.position;\\\\n\\\\n\\\\t\\\\tlight.direction = normalize( lVector );\\\\n\\\\n\\\\t\\\\tfloat lightDistance = length( lVector );\\\\n\\\\n\\\\t\\\\tlight.color = pointLight.color;\\\\n\\\\t\\\\tlight.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay );\\\\n\\\\t\\\\tlight.visible = ( light.color != vec3( 0.0 ) );\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\n\\\\n#if NUM_SPOT_LIGHTS > 0\\\\n\\\\n\\\\tstruct SpotLight {\\\\n\\\\t\\\\tvec3 position;\\\\n\\\\t\\\\tvec3 direction;\\\\n\\\\t\\\\tvec3 color;\\\\n\\\\t\\\\tfloat distance;\\\\n\\\\t\\\\tfloat decay;\\\\n\\\\t\\\\tfloat coneCos;\\\\n\\\\t\\\\tfloat penumbraCos;\\\\n\\\\t};\\\\n\\\\n\\\\tuniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];\\\\n\\\\n\\\\t// light is an out parameter as having it as a return value caused compiler errors on some devices\\\\n\\\\tvoid getSpotLightInfo( const in SpotLight spotLight, const in GeometricContext geometry, out IncidentLight light ) {\\\\n\\\\n\\\\t\\\\tvec3 lVector = spotLight.position - geometry.position;\\\\n\\\\n\\\\t\\\\tlight.direction = normalize( lVector );\\\\n\\\\n\\\\t\\\\tfloat angleCos = dot( light.direction, spotLight.direction );\\\\n\\\\n\\\\t\\\\tfloat spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos );\\\\n\\\\n\\\\t\\\\tif ( spotAttenuation > 0.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\tfloat lightDistance = length( lVector );\\\\n\\\\n\\\\t\\\\t\\\\tlight.color = spotLight.color * spotAttenuation;\\\\n\\\\t\\\\t\\\\tlight.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay );\\\\n\\\\t\\\\t\\\\tlight.visible = ( light.color != vec3( 0.0 ) );\\\\n\\\\n\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\tlight.color = vec3( 0.0 );\\\\n\\\\t\\\\t\\\\tlight.visible = false;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\n\\\\n#if NUM_RECT_AREA_LIGHTS > 0\\\\n\\\\n\\\\tstruct RectAreaLight {\\\\n\\\\t\\\\tvec3 color;\\\\n\\\\t\\\\tvec3 position;\\\\n\\\\t\\\\tvec3 halfWidth;\\\\n\\\\t\\\\tvec3 halfHeight;\\\\n\\\\t};\\\\n\\\\n\\\\t// Pre-computed values of LinearTransformedCosine approximation of BRDF\\\\n\\\\t// BRDF approximation Texture is 64x64\\\\n\\\\tuniform sampler2D ltc_1; // RGBA Float\\\\n\\\\tuniform sampler2D ltc_2; // RGBA Float\\\\n\\\\n\\\\tuniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];\\\\n\\\\n#endif\\\\n\\\\n\\\\n#if NUM_HEMI_LIGHTS > 0\\\\n\\\\n\\\\tstruct HemisphereLight {\\\\n\\\\t\\\\tvec3 direction;\\\\n\\\\t\\\\tvec3 skyColor;\\\\n\\\\t\\\\tvec3 groundColor;\\\\n\\\\t};\\\\n\\\\n\\\\tuniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];\\\\n\\\\n\\\\tvec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) {\\\\n\\\\n\\\\t\\\\tfloat dotNL = dot( normal, hemiLight.direction );\\\\n\\\\t\\\\tfloat hemiDiffuseWeight = 0.5 * dotNL + 0.5;\\\\n\\\\n\\\\t\\\\tvec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );\\\\n\\\\n\\\\t\\\\treturn irradiance;\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\\\\",lights_toon_fragment:\\\\\\\"\\\\nToonMaterial material;\\\\nmaterial.diffuseColor = diffuseColor.rgb;\\\\n\\\\\\\",lights_toon_pars_fragment:\\\\\\\"\\\\nvarying vec3 vViewPosition;\\\\n\\\\nstruct ToonMaterial {\\\\n\\\\n\\\\tvec3 diffuseColor;\\\\n\\\\n};\\\\n\\\\nvoid RE_Direct_Toon( const in IncidentLight directLight, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\n\\\\tvec3 irradiance = getGradientIrradiance( geometry.normal, directLight.direction ) * directLight.color;\\\\n\\\\n\\\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n\\\\n}\\\\n\\\\nvoid RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\n\\\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n\\\\n}\\\\n\\\\n#define RE_Direct\\\\t\\\\t\\\\t\\\\tRE_Direct_Toon\\\\n#define RE_IndirectDiffuse\\\\t\\\\tRE_IndirectDiffuse_Toon\\\\n\\\\n#define Material_LightProbeLOD( material )\\\\t(0)\\\\n\\\\\\\",lights_phong_fragment:\\\\\\\"\\\\nBlinnPhongMaterial material;\\\\nmaterial.diffuseColor = diffuseColor.rgb;\\\\nmaterial.specularColor = specular;\\\\nmaterial.specularShininess = shininess;\\\\nmaterial.specularStrength = specularStrength;\\\\n\\\\\\\",lights_phong_pars_fragment:\\\\\\\"\\\\nvarying vec3 vViewPosition;\\\\n\\\\nstruct BlinnPhongMaterial {\\\\n\\\\n\\\\tvec3 diffuseColor;\\\\n\\\\tvec3 specularColor;\\\\n\\\\tfloat specularShininess;\\\\n\\\\tfloat specularStrength;\\\\n\\\\n};\\\\n\\\\nvoid RE_Direct_BlinnPhong( const in IncidentLight directLight, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\n\\\\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\\\\n\\\\tvec3 irradiance = dotNL * directLight.color;\\\\n\\\\n\\\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n\\\\n\\\\treflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometry.viewDir, geometry.normal, material.specularColor, material.specularShininess ) * material.specularStrength;\\\\n\\\\n}\\\\n\\\\nvoid RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\n\\\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n\\\\n}\\\\n\\\\n#define RE_Direct\\\\t\\\\t\\\\t\\\\tRE_Direct_BlinnPhong\\\\n#define RE_IndirectDiffuse\\\\t\\\\tRE_IndirectDiffuse_BlinnPhong\\\\n\\\\n#define Material_LightProbeLOD( material )\\\\t(0)\\\\n\\\\\\\",lights_physical_fragment:\\\\\\\"\\\\nPhysicalMaterial material;\\\\nmaterial.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );\\\\n\\\\nvec3 dxy = max( abs( dFdx( geometryNormal ) ), abs( dFdy( geometryNormal ) ) );\\\\nfloat geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );\\\\n\\\\nmaterial.roughness = max( roughnessFactor, 0.0525 );// 0.0525 corresponds to the base mip of a 256 cubemap.\\\\nmaterial.roughness += geometryRoughness;\\\\nmaterial.roughness = min( material.roughness, 1.0 );\\\\n\\\\n#ifdef IOR\\\\n\\\\n\\\\t#ifdef SPECULAR\\\\n\\\\n\\\\t\\\\tfloat specularIntensityFactor = specularIntensity;\\\\n\\\\t\\\\tvec3 specularTintFactor = specularTint;\\\\n\\\\n\\\\t\\\\t#ifdef USE_SPECULARINTENSITYMAP\\\\n\\\\n\\\\t\\\\t\\\\tspecularIntensityFactor *= texture2D( specularIntensityMap, vUv ).a;\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\t#ifdef USE_SPECULARTINTMAP\\\\n\\\\n\\\\t\\\\t\\\\tspecularTintFactor *= specularTintMapTexelToLinear( texture2D( specularTintMap, vUv ) ).rgb;\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\tmaterial.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor );\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tfloat specularIntensityFactor = 1.0;\\\\n\\\\t\\\\tvec3 specularTintFactor = vec3( 1.0 );\\\\n\\\\t\\\\tmaterial.specularF90 = 1.0;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tmaterial.specularColor = mix( min( pow2( ( ior - 1.0 ) / ( ior + 1.0 ) ) * specularTintFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor );\\\\n\\\\n#else\\\\n\\\\n\\\\tmaterial.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor );\\\\n\\\\tmaterial.specularF90 = 1.0;\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_CLEARCOAT\\\\n\\\\n\\\\tmaterial.clearcoat = clearcoat;\\\\n\\\\tmaterial.clearcoatRoughness = clearcoatRoughness;\\\\n\\\\tmaterial.clearcoatF0 = vec3( 0.04 );\\\\n\\\\tmaterial.clearcoatF90 = 1.0;\\\\n\\\\n\\\\t#ifdef USE_CLEARCOATMAP\\\\n\\\\n\\\\t\\\\tmaterial.clearcoat *= texture2D( clearcoatMap, vUv ).x;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\\\n\\\\n\\\\t\\\\tmaterial.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vUv ).y;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tmaterial.clearcoat = saturate( material.clearcoat ); // Burley clearcoat model\\\\n\\\\tmaterial.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );\\\\n\\\\tmaterial.clearcoatRoughness += geometryRoughness;\\\\n\\\\tmaterial.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_SHEEN\\\\n\\\\n\\\\tmaterial.sheenTint = sheenTint;\\\\n\\\\tmaterial.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 );\\\\n\\\\n#endif\\\\n\\\\\\\",lights_physical_pars_fragment:'\\\\nstruct PhysicalMaterial {\\\\n\\\\n\\\\tvec3 diffuseColor;\\\\n\\\\tfloat roughness;\\\\n\\\\tvec3 specularColor;\\\\n\\\\tfloat specularF90;\\\\n\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\t\\\\tfloat clearcoat;\\\\n\\\\t\\\\tfloat clearcoatRoughness;\\\\n\\\\t\\\\tvec3 clearcoatF0;\\\\n\\\\t\\\\tfloat clearcoatF90;\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef USE_SHEEN\\\\n\\\\t\\\\tvec3 sheenTint;\\\\n\\\\t\\\\tfloat sheenRoughness;\\\\n\\\\t#endif\\\\n\\\\n};\\\\n\\\\n// temporary\\\\nvec3 clearcoatSpecular = vec3( 0.0 );\\\\n\\\\n// Analytical approximation of the DFG LUT, one half of the\\\\n// split-sum approximation used in indirect specular lighting.\\\\n// via \\\\'environmentBRDF\\\\' from \\\\\\\"Physically Based Shading on Mobile\\\\\\\"\\\\n// https://www.unrealengine.com/blog/physically-based-shading-on-mobile\\\\nvec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {\\\\n\\\\n\\\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\\\n\\\\n\\\\tconst vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );\\\\n\\\\n\\\\tconst vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );\\\\n\\\\n\\\\tvec4 r = roughness * c0 + c1;\\\\n\\\\n\\\\tfloat a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;\\\\n\\\\n\\\\tvec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw;\\\\n\\\\n\\\\treturn fab;\\\\n\\\\n}\\\\n\\\\nvec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) {\\\\n\\\\n\\\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\\\n\\\\n\\\\treturn specularColor * fab.x + specularF90 * fab.y;\\\\n\\\\n}\\\\n\\\\n// Fdez-Agüera\\\\'s \\\\\\\"Multiple-Scattering Microfacet Model for Real-Time Image Based Lighting\\\\\\\"\\\\n// Approximates multiscattering in order to preserve energy.\\\\n// http://www.jcgt.org/published/0008/01/03/\\\\nvoid computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\\\n\\\\n\\\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\\\n\\\\n\\\\tvec3 FssEss = specularColor * fab.x + specularF90 * fab.y;\\\\n\\\\n\\\\tfloat Ess = fab.x + fab.y;\\\\n\\\\tfloat Ems = 1.0 - Ess;\\\\n\\\\n\\\\tvec3 Favg = specularColor + ( 1.0 - specularColor ) * 0.047619; // 1/21\\\\n\\\\tvec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );\\\\n\\\\n\\\\tsingleScatter += FssEss;\\\\n\\\\tmultiScatter += Fms * Ems;\\\\n\\\\n}\\\\n\\\\n#if NUM_RECT_AREA_LIGHTS > 0\\\\n\\\\n\\\\tvoid RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\n\\\\t\\\\tvec3 normal = geometry.normal;\\\\n\\\\t\\\\tvec3 viewDir = geometry.viewDir;\\\\n\\\\t\\\\tvec3 position = geometry.position;\\\\n\\\\t\\\\tvec3 lightPos = rectAreaLight.position;\\\\n\\\\t\\\\tvec3 halfWidth = rectAreaLight.halfWidth;\\\\n\\\\t\\\\tvec3 halfHeight = rectAreaLight.halfHeight;\\\\n\\\\t\\\\tvec3 lightColor = rectAreaLight.color;\\\\n\\\\t\\\\tfloat roughness = material.roughness;\\\\n\\\\n\\\\t\\\\tvec3 rectCoords[ 4 ];\\\\n\\\\t\\\\trectCoords[ 0 ] = lightPos + halfWidth - halfHeight; // counterclockwise; light shines in local neg z direction\\\\n\\\\t\\\\trectCoords[ 1 ] = lightPos - halfWidth - halfHeight;\\\\n\\\\t\\\\trectCoords[ 2 ] = lightPos - halfWidth + halfHeight;\\\\n\\\\t\\\\trectCoords[ 3 ] = lightPos + halfWidth + halfHeight;\\\\n\\\\n\\\\t\\\\tvec2 uv = LTC_Uv( normal, viewDir, roughness );\\\\n\\\\n\\\\t\\\\tvec4 t1 = texture2D( ltc_1, uv );\\\\n\\\\t\\\\tvec4 t2 = texture2D( ltc_2, uv );\\\\n\\\\n\\\\t\\\\tmat3 mInv = mat3(\\\\n\\\\t\\\\t\\\\tvec3( t1.x, 0, t1.y ),\\\\n\\\\t\\\\t\\\\tvec3( 0, 1, 0 ),\\\\n\\\\t\\\\t\\\\tvec3( t1.z, 0, t1.w )\\\\n\\\\t\\\\t);\\\\n\\\\n\\\\t\\\\t// LTC Fresnel Approximation by Stephen Hill\\\\n\\\\t\\\\t// http://blog.selfshadow.com/publications/s2016-advances/s2016_ltc_fresnel.pdf\\\\n\\\\t\\\\tvec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );\\\\n\\\\n\\\\t\\\\treflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );\\\\n\\\\n\\\\t\\\\treflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\nvoid RE_Direct_Physical( const in IncidentLight directLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\n\\\\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\\\\n\\\\n\\\\tvec3 irradiance = dotNL * directLight.color;\\\\n\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\n\\\\t\\\\tfloat dotNLcc = saturate( dot( geometry.clearcoatNormal, directLight.direction ) );\\\\n\\\\n\\\\t\\\\tvec3 ccIrradiance = dotNLcc * directLight.color;\\\\n\\\\n\\\\t\\\\tclearcoatSpecular += ccIrradiance * BRDF_GGX( directLight.direction, geometry.viewDir, geometry.clearcoatNormal, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef USE_SHEEN\\\\n\\\\n\\\\t\\\\treflectedLight.directSpecular += irradiance * BRDF_Sheen( directLight.direction, geometry.viewDir, geometry.normal, material.sheenTint, material.sheenRoughness );\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\treflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometry.viewDir, geometry.normal, material.specularColor, material.specularF90, material.roughness );\\\\n\\\\n\\\\n\\\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n}\\\\n\\\\nvoid RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\n\\\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n\\\\n}\\\\n\\\\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\\\\n\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\n\\\\t\\\\tclearcoatSpecular += clearcoatRadiance * EnvironmentBRDF( geometry.clearcoatNormal, geometry.viewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t// Both indirect specular and indirect diffuse light accumulate here\\\\n\\\\n\\\\tvec3 singleScattering = vec3( 0.0 );\\\\n\\\\tvec3 multiScattering = vec3( 0.0 );\\\\n\\\\tvec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;\\\\n\\\\n\\\\tcomputeMultiscattering( geometry.normal, geometry.viewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering );\\\\n\\\\n\\\\tvec3 diffuse = material.diffuseColor * ( 1.0 - ( singleScattering + multiScattering ) );\\\\n\\\\n\\\\treflectedLight.indirectSpecular += radiance * singleScattering;\\\\n\\\\treflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;\\\\n\\\\n\\\\treflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;\\\\n\\\\n}\\\\n\\\\n#define RE_Direct\\\\t\\\\t\\\\t\\\\tRE_Direct_Physical\\\\n#define RE_Direct_RectArea\\\\t\\\\tRE_Direct_RectArea_Physical\\\\n#define RE_IndirectDiffuse\\\\t\\\\tRE_IndirectDiffuse_Physical\\\\n#define RE_IndirectSpecular\\\\t\\\\tRE_IndirectSpecular_Physical\\\\n\\\\n// ref: https://seblagarde.files.wordpress.com/2015/07/course_notes_moving_frostbite_to_pbr_v32.pdf\\\\nfloat computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {\\\\n\\\\n\\\\treturn saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );\\\\n\\\\n}\\\\n',lights_fragment_begin:\\\\\\\"\\\\n/**\\\\n * This is a template that can be used to light a material, it uses pluggable\\\\n * RenderEquations (RE)for specific lighting scenarios.\\\\n *\\\\n * Instructions for use:\\\\n * - Ensure that both RE_Direct, RE_IndirectDiffuse and RE_IndirectSpecular are defined\\\\n * - If you have defined an RE_IndirectSpecular, you need to also provide a Material_LightProbeLOD. <---- ???\\\\n * - Create a material parameter that is to be passed as the third parameter to your lighting functions.\\\\n *\\\\n * TODO:\\\\n * - Add area light support.\\\\n * - Add sphere light support.\\\\n * - Add diffuse light probe (irradiance cubemap) support.\\\\n */\\\\n\\\\nGeometricContext geometry;\\\\n\\\\ngeometry.position = - vViewPosition;\\\\ngeometry.normal = normal;\\\\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );\\\\n\\\\n#ifdef USE_CLEARCOAT\\\\n\\\\n\\\\tgeometry.clearcoatNormal = clearcoatNormal;\\\\n\\\\n#endif\\\\n\\\\nIncidentLight directLight;\\\\n\\\\n#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )\\\\n\\\\n\\\\tPointLight pointLight;\\\\n\\\\t#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\tPointLightShadow pointLightShadow;\\\\n\\\\t#endif\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\\\n\\\\n\\\\t\\\\tpointLight = pointLights[ i ];\\\\n\\\\n\\\\t\\\\tgetPointLightInfo( pointLight, geometry, directLight );\\\\n\\\\n\\\\t\\\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )\\\\n\\\\t\\\\tpointLightShadow = pointLightShadows[ i ];\\\\n\\\\t\\\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\tRE_Direct( directLight, geometry, material, reflectedLight );\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n#endif\\\\n\\\\n#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )\\\\n\\\\n\\\\tSpotLight spotLight;\\\\n\\\\t#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\tSpotLightShadow spotLightShadow;\\\\n\\\\t#endif\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\\\n\\\\n\\\\t\\\\tspotLight = spotLights[ i ];\\\\n\\\\n\\\\t\\\\tgetSpotLightInfo( spotLight, geometry, directLight );\\\\n\\\\n\\\\t\\\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\\\n\\\\t\\\\tspotLightShadow = spotLightShadows[ i ];\\\\n\\\\t\\\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\tRE_Direct( directLight, geometry, material, reflectedLight );\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n#endif\\\\n\\\\n#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )\\\\n\\\\n\\\\tDirectionalLight directionalLight;\\\\n\\\\t#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\tDirectionalLightShadow directionalLightShadow;\\\\n\\\\t#endif\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\\\n\\\\n\\\\t\\\\tdirectionalLight = directionalLights[ i ];\\\\n\\\\n\\\\t\\\\tgetDirectionalLightInfo( directionalLight, geometry, directLight );\\\\n\\\\n\\\\t\\\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )\\\\n\\\\t\\\\tdirectionalLightShadow = directionalLightShadows[ i ];\\\\n\\\\t\\\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\tRE_Direct( directLight, geometry, material, reflectedLight );\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n#endif\\\\n\\\\n#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )\\\\n\\\\n\\\\tRectAreaLight rectAreaLight;\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {\\\\n\\\\n\\\\t\\\\trectAreaLight = rectAreaLights[ i ];\\\\n\\\\t\\\\tRE_Direct_RectArea( rectAreaLight, geometry, material, reflectedLight );\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n#endif\\\\n\\\\n#if defined( RE_IndirectDiffuse )\\\\n\\\\n\\\\tvec3 iblIrradiance = vec3( 0.0 );\\\\n\\\\n\\\\tvec3 irradiance = getAmbientLightIrradiance( ambientLightColor );\\\\n\\\\n\\\\tirradiance += getLightProbeIrradiance( lightProbe, geometry.normal );\\\\n\\\\n\\\\t#if ( NUM_HEMI_LIGHTS > 0 )\\\\n\\\\n\\\\t\\\\t#pragma unroll_loop_start\\\\n\\\\t\\\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\\\n\\\\n\\\\t\\\\t\\\\tirradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry.normal );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\t#pragma unroll_loop_end\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\n#if defined( RE_IndirectSpecular )\\\\n\\\\n\\\\tvec3 radiance = vec3( 0.0 );\\\\n\\\\tvec3 clearcoatRadiance = vec3( 0.0 );\\\\n\\\\n#endif\\\\n\\\\\\\",lights_fragment_maps:\\\\\\\"\\\\n#if defined( RE_IndirectDiffuse )\\\\n\\\\n\\\\t#ifdef USE_LIGHTMAP\\\\n\\\\n\\\\t\\\\tvec4 lightMapTexel = texture2D( lightMap, vUv2 );\\\\n\\\\t\\\\tvec3 lightMapIrradiance = lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\\\n\\\\n\\\\t\\\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\\\n\\\\n\\\\t\\\\t\\\\tlightMapIrradiance *= PI;\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\tirradiance += lightMapIrradiance;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )\\\\n\\\\n\\\\t\\\\tiblIrradiance += getIBLIrradiance( geometry.normal );\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\n#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )\\\\n\\\\n\\\\tradiance += getIBLRadiance( geometry.viewDir, geometry.normal, material.roughness );\\\\n\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\n\\\\t\\\\tclearcoatRadiance += getIBLRadiance( geometry.viewDir, geometry.clearcoatNormal, material.clearcoatRoughness );\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",lights_fragment_end:\\\\\\\"\\\\n#if defined( RE_IndirectDiffuse )\\\\n\\\\n\\\\tRE_IndirectDiffuse( irradiance, geometry, material, reflectedLight );\\\\n\\\\n#endif\\\\n\\\\n#if defined( RE_IndirectSpecular )\\\\n\\\\n\\\\tRE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometry, material, reflectedLight );\\\\n\\\\n#endif\\\\n\\\\\\\",logdepthbuf_fragment:\\\\\\\"\\\\n#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\\\n\\\\n\\\\t// Doing a strict comparison with == 1.0 can cause noise artifacts\\\\n\\\\t// on some platforms. See issue #17623.\\\\n\\\\tgl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;\\\\n\\\\n#endif\\\\n\\\\\\\",logdepthbuf_pars_fragment:\\\\\\\"\\\\n#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\\\n\\\\n\\\\tuniform float logDepthBufFC;\\\\n\\\\tvarying float vFragDepth;\\\\n\\\\tvarying float vIsPerspective;\\\\n\\\\n#endif\\\\n\\\\\\\",logdepthbuf_pars_vertex:\\\\\\\"\\\\n#ifdef USE_LOGDEPTHBUF\\\\n\\\\n\\\\t#ifdef USE_LOGDEPTHBUF_EXT\\\\n\\\\n\\\\t\\\\tvarying float vFragDepth;\\\\n\\\\t\\\\tvarying float vIsPerspective;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tuniform float logDepthBufFC;\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",logdepthbuf_vertex:\\\\\\\"\\\\n#ifdef USE_LOGDEPTHBUF\\\\n\\\\n\\\\t#ifdef USE_LOGDEPTHBUF_EXT\\\\n\\\\n\\\\t\\\\tvFragDepth = 1.0 + gl_Position.w;\\\\n\\\\t\\\\tvIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tif ( isPerspectiveMatrix( projectionMatrix ) ) {\\\\n\\\\n\\\\t\\\\t\\\\tgl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;\\\\n\\\\n\\\\t\\\\t\\\\tgl_Position.z *= gl_Position.w;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",map_fragment:\\\\\\\"\\\\n#ifdef USE_MAP\\\\n\\\\n\\\\tvec4 texelColor = texture2D( map, vUv );\\\\n\\\\n\\\\ttexelColor = mapTexelToLinear( texelColor );\\\\n\\\\tdiffuseColor *= texelColor;\\\\n\\\\n#endif\\\\n\\\\\\\",map_pars_fragment:\\\\\\\"\\\\n#ifdef USE_MAP\\\\n\\\\n\\\\tuniform sampler2D map;\\\\n\\\\n#endif\\\\n\\\\\\\",map_particle_fragment:\\\\\\\"\\\\n#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\\\n\\\\n\\\\tvec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_MAP\\\\n\\\\n\\\\tvec4 mapTexel = texture2D( map, uv );\\\\n\\\\tdiffuseColor *= mapTexelToLinear( mapTexel );\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_ALPHAMAP\\\\n\\\\n\\\\tdiffuseColor.a *= texture2D( alphaMap, uv ).g;\\\\n\\\\n#endif\\\\n\\\\\\\",map_particle_pars_fragment:\\\\\\\"\\\\n#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\\\n\\\\n\\\\tuniform mat3 uvTransform;\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_MAP\\\\n\\\\n\\\\tuniform sampler2D map;\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_ALPHAMAP\\\\n\\\\n\\\\tuniform sampler2D alphaMap;\\\\n\\\\n#endif\\\\n\\\\\\\",metalnessmap_fragment:\\\\\\\"\\\\nfloat metalnessFactor = metalness;\\\\n\\\\n#ifdef USE_METALNESSMAP\\\\n\\\\n\\\\tvec4 texelMetalness = texture2D( metalnessMap, vUv );\\\\n\\\\n\\\\t// reads channel B, compatible with a combined OcclusionRoughnessMetallic (RGB) texture\\\\n\\\\tmetalnessFactor *= texelMetalness.b;\\\\n\\\\n#endif\\\\n\\\\\\\",metalnessmap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_METALNESSMAP\\\\n\\\\n\\\\tuniform sampler2D metalnessMap;\\\\n\\\\n#endif\\\\n\\\\\\\",morphnormal_vertex:\\\\\\\"\\\\n#ifdef USE_MORPHNORMALS\\\\n\\\\n\\\\t// morphTargetBaseInfluence is set based on BufferGeometry.morphTargetsRelative value:\\\\n\\\\t// When morphTargetsRelative is false, this is set to 1 - sum(influences); this results in normal = sum((target - base) * influence)\\\\n\\\\t// When morphTargetsRelative is true, this is set to 1; as a result, all morph targets are simply added to the base after weighting\\\\n\\\\tobjectNormal *= morphTargetBaseInfluence;\\\\n\\\\n\\\\t#ifdef MORPHTARGETS_TEXTURE\\\\n\\\\n\\\\t\\\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\\\n\\\\n\\\\t\\\\t\\\\tif ( morphTargetInfluences[ i ] > 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1, 2 ) * morphTargetInfluences[ i ];\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tobjectNormal += morphNormal0 * morphTargetInfluences[ 0 ];\\\\n\\\\t\\\\tobjectNormal += morphNormal1 * morphTargetInfluences[ 1 ];\\\\n\\\\t\\\\tobjectNormal += morphNormal2 * morphTargetInfluences[ 2 ];\\\\n\\\\t\\\\tobjectNormal += morphNormal3 * morphTargetInfluences[ 3 ];\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",morphtarget_pars_vertex:\\\\\\\"\\\\n#ifdef USE_MORPHTARGETS\\\\n\\\\n\\\\tuniform float morphTargetBaseInfluence;\\\\n\\\\n\\\\t#ifdef MORPHTARGETS_TEXTURE\\\\n\\\\n\\\\t\\\\tuniform float morphTargetInfluences[ MORPHTARGETS_COUNT ];\\\\n\\\\t\\\\tuniform sampler2DArray morphTargetsTexture;\\\\n\\\\t\\\\tuniform vec2 morphTargetsTextureSize;\\\\n\\\\n\\\\t\\\\tvec3 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset, const in int stride ) {\\\\n\\\\n\\\\t\\\\t\\\\tfloat texelIndex = float( vertexIndex * stride + offset );\\\\n\\\\t\\\\t\\\\tfloat y = floor( texelIndex / morphTargetsTextureSize.x );\\\\n\\\\t\\\\t\\\\tfloat x = texelIndex - y * morphTargetsTextureSize.x;\\\\n\\\\n\\\\t\\\\t\\\\tvec3 morphUV = vec3( ( x + 0.5 ) / morphTargetsTextureSize.x, y / morphTargetsTextureSize.y, morphTargetIndex );\\\\n\\\\t\\\\t\\\\treturn texture( morphTargetsTexture, morphUV ).xyz;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\t#ifndef USE_MORPHNORMALS\\\\n\\\\n\\\\t\\\\t\\\\tuniform float morphTargetInfluences[ 8 ];\\\\n\\\\n\\\\t\\\\t#else\\\\n\\\\n\\\\t\\\\t\\\\tuniform float morphTargetInfluences[ 4 ];\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",morphtarget_vertex:\\\\\\\"\\\\n#ifdef USE_MORPHTARGETS\\\\n\\\\n\\\\t// morphTargetBaseInfluence is set based on BufferGeometry.morphTargetsRelative value:\\\\n\\\\t// When morphTargetsRelative is false, this is set to 1 - sum(influences); this results in position = sum((target - base) * influence)\\\\n\\\\t// When morphTargetsRelative is true, this is set to 1; as a result, all morph targets are simply added to the base after weighting\\\\n\\\\ttransformed *= morphTargetBaseInfluence;\\\\n\\\\n\\\\t#ifdef MORPHTARGETS_TEXTURE\\\\n\\\\n\\\\t\\\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\\\n\\\\n\\\\t\\\\t\\\\t#ifndef USE_MORPHNORMALS\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tif ( morphTargetInfluences[ i ] > 0.0 ) transformed += getMorph( gl_VertexID, i, 0, 1 ) * morphTargetInfluences[ i ];\\\\n\\\\n\\\\t\\\\t\\\\t#else\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tif ( morphTargetInfluences[ i ] > 0.0 ) transformed += getMorph( gl_VertexID, i, 0, 2 ) * morphTargetInfluences[ i ];\\\\n\\\\n\\\\t\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\ttransformed += morphTarget0 * morphTargetInfluences[ 0 ];\\\\n\\\\t\\\\ttransformed += morphTarget1 * morphTargetInfluences[ 1 ];\\\\n\\\\t\\\\ttransformed += morphTarget2 * morphTargetInfluences[ 2 ];\\\\n\\\\t\\\\ttransformed += morphTarget3 * morphTargetInfluences[ 3 ];\\\\n\\\\n\\\\t\\\\t#ifndef USE_MORPHNORMALS\\\\n\\\\n\\\\t\\\\t\\\\ttransformed += morphTarget4 * morphTargetInfluences[ 4 ];\\\\n\\\\t\\\\t\\\\ttransformed += morphTarget5 * morphTargetInfluences[ 5 ];\\\\n\\\\t\\\\t\\\\ttransformed += morphTarget6 * morphTargetInfluences[ 6 ];\\\\n\\\\t\\\\t\\\\ttransformed += morphTarget7 * morphTargetInfluences[ 7 ];\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",normal_fragment_begin:\\\\\\\"\\\\nfloat faceDirection = gl_FrontFacing ? 1.0 : - 1.0;\\\\n\\\\n#ifdef FLAT_SHADED\\\\n\\\\n\\\\t// Workaround for Adreno GPUs not able to do dFdx( vViewPosition )\\\\n\\\\n\\\\tvec3 fdx = vec3( dFdx( vViewPosition.x ), dFdx( vViewPosition.y ), dFdx( vViewPosition.z ) );\\\\n\\\\tvec3 fdy = vec3( dFdy( vViewPosition.x ), dFdy( vViewPosition.y ), dFdy( vViewPosition.z ) );\\\\n\\\\tvec3 normal = normalize( cross( fdx, fdy ) );\\\\n\\\\n#else\\\\n\\\\n\\\\tvec3 normal = normalize( vNormal );\\\\n\\\\n\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\t\\\\tnormal = normal * faceDirection;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\n\\\\t\\\\tvec3 tangent = normalize( vTangent );\\\\n\\\\t\\\\tvec3 bitangent = normalize( vBitangent );\\\\n\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\t\\\\t\\\\ttangent = tangent * faceDirection;\\\\n\\\\t\\\\t\\\\tbitangent = bitangent * faceDirection;\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\t#if defined( TANGENTSPACE_NORMALMAP ) || defined( USE_CLEARCOAT_NORMALMAP )\\\\n\\\\n\\\\t\\\\t\\\\tmat3 vTBN = mat3( tangent, bitangent, normal );\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\n// non perturbed normal for clearcoat among others\\\\n\\\\nvec3 geometryNormal = normal;\\\\n\\\\n\\\\\\\",normal_fragment_maps:\\\\\\\"\\\\n\\\\n#ifdef OBJECTSPACE_NORMALMAP\\\\n\\\\n\\\\tnormal = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0; // overrides both flatShading and attribute normals\\\\n\\\\n\\\\t#ifdef FLIP_SIDED\\\\n\\\\n\\\\t\\\\tnormal = - normal;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\t\\\\tnormal = normal * faceDirection;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tnormal = normalize( normalMatrix * normal );\\\\n\\\\n#elif defined( TANGENTSPACE_NORMALMAP )\\\\n\\\\n\\\\tvec3 mapN = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\\\\n\\\\tmapN.xy *= normalScale;\\\\n\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\n\\\\t\\\\tnormal = normalize( vTBN * mapN );\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tnormal = perturbNormal2Arb( - vViewPosition, normal, mapN, faceDirection );\\\\n\\\\n\\\\t#endif\\\\n\\\\n#elif defined( USE_BUMPMAP )\\\\n\\\\n\\\\tnormal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection );\\\\n\\\\n#endif\\\\n\\\\\\\",normal_pars_fragment:\\\\\\\"\\\\n#ifndef FLAT_SHADED\\\\n\\\\n\\\\tvarying vec3 vNormal;\\\\n\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\n\\\\t\\\\tvarying vec3 vTangent;\\\\n\\\\t\\\\tvarying vec3 vBitangent;\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",normal_pars_vertex:\\\\\\\"\\\\n#ifndef FLAT_SHADED\\\\n\\\\n\\\\tvarying vec3 vNormal;\\\\n\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\n\\\\t\\\\tvarying vec3 vTangent;\\\\n\\\\t\\\\tvarying vec3 vBitangent;\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",normal_vertex:\\\\\\\"\\\\n#ifndef FLAT_SHADED // normal is computed with derivatives when FLAT_SHADED\\\\n\\\\n\\\\tvNormal = normalize( transformedNormal );\\\\n\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\n\\\\t\\\\tvTangent = normalize( transformedTangent );\\\\n\\\\t\\\\tvBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",normalmap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_NORMALMAP\\\\n\\\\n\\\\tuniform sampler2D normalMap;\\\\n\\\\tuniform vec2 normalScale;\\\\n\\\\n#endif\\\\n\\\\n#ifdef OBJECTSPACE_NORMALMAP\\\\n\\\\n\\\\tuniform mat3 normalMatrix;\\\\n\\\\n#endif\\\\n\\\\n#if ! defined ( USE_TANGENT ) && ( defined ( TANGENTSPACE_NORMALMAP ) || defined ( USE_CLEARCOAT_NORMALMAP ) )\\\\n\\\\n\\\\t// Normal Mapping Without Precomputed Tangents\\\\n\\\\t// http://www.thetenthplanet.de/archives/1180\\\\n\\\\n\\\\tvec3 perturbNormal2Arb( vec3 eye_pos, vec3 surf_norm, vec3 mapN, float faceDirection ) {\\\\n\\\\n\\\\t\\\\t// Workaround for Adreno 3XX dFd*( vec3 ) bug. See #9988\\\\n\\\\n\\\\t\\\\tvec3 q0 = vec3( dFdx( eye_pos.x ), dFdx( eye_pos.y ), dFdx( eye_pos.z ) );\\\\n\\\\t\\\\tvec3 q1 = vec3( dFdy( eye_pos.x ), dFdy( eye_pos.y ), dFdy( eye_pos.z ) );\\\\n\\\\t\\\\tvec2 st0 = dFdx( vUv.st );\\\\n\\\\t\\\\tvec2 st1 = dFdy( vUv.st );\\\\n\\\\n\\\\t\\\\tvec3 N = surf_norm; // normalized\\\\n\\\\n\\\\t\\\\tvec3 q1perp = cross( q1, N );\\\\n\\\\t\\\\tvec3 q0perp = cross( N, q0 );\\\\n\\\\n\\\\t\\\\tvec3 T = q1perp * st0.x + q0perp * st1.x;\\\\n\\\\t\\\\tvec3 B = q1perp * st0.y + q0perp * st1.y;\\\\n\\\\n\\\\t\\\\tfloat det = max( dot( T, T ), dot( B, B ) );\\\\n\\\\t\\\\tfloat scale = ( det == 0.0 ) ? 0.0 : faceDirection * inversesqrt( det );\\\\n\\\\n\\\\t\\\\treturn normalize( T * ( mapN.x * scale ) + B * ( mapN.y * scale ) + N * mapN.z );\\\\n\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\\\\",clearcoat_normal_fragment_begin:\\\\\\\"\\\\n#ifdef USE_CLEARCOAT\\\\n\\\\n\\\\tvec3 clearcoatNormal = geometryNormal;\\\\n\\\\n#endif\\\\n\\\\\\\",clearcoat_normal_fragment_maps:\\\\\\\"\\\\n#ifdef USE_CLEARCOAT_NORMALMAP\\\\n\\\\n\\\\tvec3 clearcoatMapN = texture2D( clearcoatNormalMap, vUv ).xyz * 2.0 - 1.0;\\\\n\\\\tclearcoatMapN.xy *= clearcoatNormalScale;\\\\n\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\n\\\\t\\\\tclearcoatNormal = normalize( vTBN * clearcoatMapN );\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tclearcoatNormal = perturbNormal2Arb( - vViewPosition, clearcoatNormal, clearcoatMapN, faceDirection );\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",clearcoat_pars_fragment:\\\\\\\"\\\\n\\\\n#ifdef USE_CLEARCOATMAP\\\\n\\\\n\\\\tuniform sampler2D clearcoatMap;\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\\\n\\\\n\\\\tuniform sampler2D clearcoatRoughnessMap;\\\\n\\\\n#endif\\\\n\\\\n#ifdef USE_CLEARCOAT_NORMALMAP\\\\n\\\\n\\\\tuniform sampler2D clearcoatNormalMap;\\\\n\\\\tuniform vec2 clearcoatNormalScale;\\\\n\\\\n#endif\\\\n\\\\\\\",output_fragment:\\\\\\\"\\\\n#ifdef OPAQUE\\\\ndiffuseColor.a = 1.0;\\\\n#endif\\\\n\\\\n// https://github.com/mrdoob/three.js/pull/22425\\\\n#ifdef USE_TRANSMISSION\\\\ndiffuseColor.a *= transmissionAlpha + 0.1;\\\\n#endif\\\\n\\\\ngl_FragColor = vec4( outgoingLight, diffuseColor.a );\\\\n\\\\\\\",packing:\\\\\\\"\\\\nvec3 packNormalToRGB( const in vec3 normal ) {\\\\n\\\\treturn normalize( normal ) * 0.5 + 0.5;\\\\n}\\\\n\\\\nvec3 unpackRGBToNormal( const in vec3 rgb ) {\\\\n\\\\treturn 2.0 * rgb.xyz - 1.0;\\\\n}\\\\n\\\\nconst float PackUpscale = 256. / 255.; // fraction -> 0..1 (including 1)\\\\nconst float UnpackDownscale = 255. / 256.; // 0..1 -> fraction (excluding 1)\\\\n\\\\nconst vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );\\\\nconst vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );\\\\n\\\\nconst float ShiftRight8 = 1. / 256.;\\\\n\\\\nvec4 packDepthToRGBA( const in float v ) {\\\\n\\\\tvec4 r = vec4( fract( v * PackFactors ), v );\\\\n\\\\tr.yzw -= r.xyz * ShiftRight8; // tidy overflow\\\\n\\\\treturn r * PackUpscale;\\\\n}\\\\n\\\\nfloat unpackRGBAToDepth( const in vec4 v ) {\\\\n\\\\treturn dot( v, UnpackFactors );\\\\n}\\\\n\\\\nvec4 pack2HalfToRGBA( vec2 v ) {\\\\n\\\\tvec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) );\\\\n\\\\treturn vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w );\\\\n}\\\\n\\\\nvec2 unpackRGBATo2Half( vec4 v ) {\\\\n\\\\treturn vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );\\\\n}\\\\n\\\\n// NOTE: viewZ/eyeZ is < 0 when in front of the camera per OpenGL conventions\\\\n\\\\nfloat viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {\\\\n\\\\treturn ( viewZ + near ) / ( near - far );\\\\n}\\\\nfloat orthographicDepthToViewZ( const in float linearClipZ, const in float near, const in float far ) {\\\\n\\\\treturn linearClipZ * ( near - far ) - near;\\\\n}\\\\n\\\\n// NOTE: https://twitter.com/gonnavis/status/1377183786949959682\\\\n\\\\nfloat viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {\\\\n\\\\treturn ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ );\\\\n}\\\\nfloat perspectiveDepthToViewZ( const in float invClipZ, const in float near, const in float far ) {\\\\n\\\\treturn ( near * far ) / ( ( far - near ) * invClipZ - far );\\\\n}\\\\n\\\\\\\",premultiplied_alpha_fragment:\\\\\\\"\\\\n#ifdef PREMULTIPLIED_ALPHA\\\\n\\\\n\\\\t// Get get normal blending with premultipled, use with CustomBlending, OneFactor, OneMinusSrcAlphaFactor, AddEquation.\\\\n\\\\tgl_FragColor.rgb *= gl_FragColor.a;\\\\n\\\\n#endif\\\\n\\\\\\\",project_vertex:\\\\\\\"\\\\nvec4 mvPosition = vec4( transformed, 1.0 );\\\\n\\\\n#ifdef USE_INSTANCING\\\\n\\\\n\\\\tmvPosition = instanceMatrix * mvPosition;\\\\n\\\\n#endif\\\\n\\\\nmvPosition = modelViewMatrix * mvPosition;\\\\n\\\\ngl_Position = projectionMatrix * mvPosition;\\\\n\\\\\\\",dithering_fragment:\\\\\\\"\\\\n#ifdef DITHERING\\\\n\\\\n\\\\tgl_FragColor.rgb = dithering( gl_FragColor.rgb );\\\\n\\\\n#endif\\\\n\\\\\\\",dithering_pars_fragment:\\\\\\\"\\\\n#ifdef DITHERING\\\\n\\\\n\\\\t// based on https://www.shadertoy.com/view/MslGR8\\\\n\\\\tvec3 dithering( vec3 color ) {\\\\n\\\\t\\\\t//Calculate grid position\\\\n\\\\t\\\\tfloat grid_position = rand( gl_FragCoord.xy );\\\\n\\\\n\\\\t\\\\t//Shift the individual colors differently, thus making it even harder to see the dithering pattern\\\\n\\\\t\\\\tvec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );\\\\n\\\\n\\\\t\\\\t//modify shift acording to grid position.\\\\n\\\\t\\\\tdither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );\\\\n\\\\n\\\\t\\\\t//shift the color by dither_shift\\\\n\\\\t\\\\treturn color + dither_shift_RGB;\\\\n\\\\t}\\\\n\\\\n#endif\\\\n\\\\\\\",roughnessmap_fragment:\\\\\\\"\\\\nfloat roughnessFactor = roughness;\\\\n\\\\n#ifdef USE_ROUGHNESSMAP\\\\n\\\\n\\\\tvec4 texelRoughness = texture2D( roughnessMap, vUv );\\\\n\\\\n\\\\t// reads channel G, compatible with a combined OcclusionRoughnessMetallic (RGB) texture\\\\n\\\\troughnessFactor *= texelRoughness.g;\\\\n\\\\n#endif\\\\n\\\\\\\",roughnessmap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_ROUGHNESSMAP\\\\n\\\\n\\\\tuniform sampler2D roughnessMap;\\\\n\\\\n#endif\\\\n\\\\\\\",shadowmap_pars_fragment:z,shadowmap_pars_vertex:\\\\\\\"\\\\n#ifdef USE_SHADOWMAP\\\\n\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t\\\\tuniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t\\\\tstruct DirectionalLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t};\\\\n\\\\n\\\\t\\\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t\\\\tuniform mat4 spotShadowMatrix[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t\\\\tstruct SpotLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t};\\\\n\\\\n\\\\t\\\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t\\\\tuniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t\\\\tstruct PointLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t\\\\tfloat shadowCameraNear;\\\\n\\\\t\\\\t\\\\tfloat shadowCameraFar;\\\\n\\\\t\\\\t};\\\\n\\\\n\\\\t\\\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t/*\\\\n\\\\t#if NUM_RECT_AREA_LIGHTS > 0\\\\n\\\\n\\\\t\\\\t// TODO (abelnation): uniforms for area light shadows\\\\n\\\\n\\\\t#endif\\\\n\\\\t*/\\\\n\\\\n#endif\\\\n\\\\\\\",shadowmap_vertex:\\\\\\\"\\\\n#ifdef USE_SHADOWMAP\\\\n\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0 || NUM_SPOT_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t\\\\t// Offsetting the position used for querying occlusion along the world normal can be used to reduce shadow acne.\\\\n\\\\t\\\\tvec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\\\n\\\\t\\\\tvec4 shadowWorldPosition;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\n\\\\t\\\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );\\\\n\\\\t\\\\tvDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\n\\\\t\\\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias, 0 );\\\\n\\\\t\\\\tvSpotShadowCoord[ i ] = spotShadowMatrix[ i ] * shadowWorldPosition;\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\n\\\\t\\\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );\\\\n\\\\t\\\\tvPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t/*\\\\n\\\\t#if NUM_RECT_AREA_LIGHTS > 0\\\\n\\\\n\\\\t\\\\t// TODO (abelnation): update vAreaShadowCoord with area light info\\\\n\\\\n\\\\t#endif\\\\n\\\\t*/\\\\n\\\\n#endif\\\\n\\\\\\\",shadowmask_pars_fragment:\\\\\\\"\\\\nfloat getShadowMask() {\\\\n\\\\n\\\\tfloat shadow = 1.0;\\\\n\\\\n\\\\t#ifdef USE_SHADOWMAP\\\\n\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\tDirectionalLightShadow directionalLight;\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\n\\\\t\\\\tdirectionalLight = directionalLightShadows[ i ];\\\\n\\\\t\\\\tshadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\tSpotLightShadow spotLight;\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\n\\\\t\\\\tspotLight = spotLightShadows[ i ];\\\\n\\\\t\\\\tshadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\n\\\\tPointLightShadow pointLight;\\\\n\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\n\\\\t\\\\tpointLight = pointLightShadows[ i ];\\\\n\\\\t\\\\tshadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\\\\n\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t/*\\\\n\\\\t#if NUM_RECT_AREA_LIGHTS > 0\\\\n\\\\n\\\\t\\\\t// TODO (abelnation): update shadow for Area light\\\\n\\\\n\\\\t#endif\\\\n\\\\t*/\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\treturn shadow;\\\\n\\\\n}\\\\n\\\\\\\",skinbase_vertex:\\\\\\\"\\\\n#ifdef USE_SKINNING\\\\n\\\\n\\\\tmat4 boneMatX = getBoneMatrix( skinIndex.x );\\\\n\\\\tmat4 boneMatY = getBoneMatrix( skinIndex.y );\\\\n\\\\tmat4 boneMatZ = getBoneMatrix( skinIndex.z );\\\\n\\\\tmat4 boneMatW = getBoneMatrix( skinIndex.w );\\\\n\\\\n#endif\\\\n\\\\\\\",skinning_pars_vertex:\\\\\\\"\\\\n#ifdef USE_SKINNING\\\\n\\\\n\\\\tuniform mat4 bindMatrix;\\\\n\\\\tuniform mat4 bindMatrixInverse;\\\\n\\\\n\\\\t#ifdef BONE_TEXTURE\\\\n\\\\n\\\\t\\\\tuniform highp sampler2D boneTexture;\\\\n\\\\t\\\\tuniform int boneTextureSize;\\\\n\\\\n\\\\t\\\\tmat4 getBoneMatrix( const in float i ) {\\\\n\\\\n\\\\t\\\\t\\\\tfloat j = i * 4.0;\\\\n\\\\t\\\\t\\\\tfloat x = mod( j, float( boneTextureSize ) );\\\\n\\\\t\\\\t\\\\tfloat y = floor( j / float( boneTextureSize ) );\\\\n\\\\n\\\\t\\\\t\\\\tfloat dx = 1.0 / float( boneTextureSize );\\\\n\\\\t\\\\t\\\\tfloat dy = 1.0 / float( boneTextureSize );\\\\n\\\\n\\\\t\\\\t\\\\ty = dy * ( y + 0.5 );\\\\n\\\\n\\\\t\\\\t\\\\tvec4 v1 = texture2D( boneTexture, vec2( dx * ( x + 0.5 ), y ) );\\\\n\\\\t\\\\t\\\\tvec4 v2 = texture2D( boneTexture, vec2( dx * ( x + 1.5 ), y ) );\\\\n\\\\t\\\\t\\\\tvec4 v3 = texture2D( boneTexture, vec2( dx * ( x + 2.5 ), y ) );\\\\n\\\\t\\\\t\\\\tvec4 v4 = texture2D( boneTexture, vec2( dx * ( x + 3.5 ), y ) );\\\\n\\\\n\\\\t\\\\t\\\\tmat4 bone = mat4( v1, v2, v3, v4 );\\\\n\\\\n\\\\t\\\\t\\\\treturn bone;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tuniform mat4 boneMatrices[ MAX_BONES ];\\\\n\\\\n\\\\t\\\\tmat4 getBoneMatrix( const in float i ) {\\\\n\\\\n\\\\t\\\\t\\\\tmat4 bone = boneMatrices[ int(i) ];\\\\n\\\\t\\\\t\\\\treturn bone;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",skinning_vertex:\\\\\\\"\\\\n#ifdef USE_SKINNING\\\\n\\\\n\\\\tvec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );\\\\n\\\\n\\\\tvec4 skinned = vec4( 0.0 );\\\\n\\\\tskinned += boneMatX * skinVertex * skinWeight.x;\\\\n\\\\tskinned += boneMatY * skinVertex * skinWeight.y;\\\\n\\\\tskinned += boneMatZ * skinVertex * skinWeight.z;\\\\n\\\\tskinned += boneMatW * skinVertex * skinWeight.w;\\\\n\\\\n\\\\ttransformed = ( bindMatrixInverse * skinned ).xyz;\\\\n\\\\n#endif\\\\n\\\\\\\",skinnormal_vertex:\\\\\\\"\\\\n#ifdef USE_SKINNING\\\\n\\\\n\\\\tmat4 skinMatrix = mat4( 0.0 );\\\\n\\\\tskinMatrix += skinWeight.x * boneMatX;\\\\n\\\\tskinMatrix += skinWeight.y * boneMatY;\\\\n\\\\tskinMatrix += skinWeight.z * boneMatZ;\\\\n\\\\tskinMatrix += skinWeight.w * boneMatW;\\\\n\\\\tskinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;\\\\n\\\\n\\\\tobjectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;\\\\n\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\n\\\\t\\\\tobjectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\\\n\\\\n\\\\t#endif\\\\n\\\\n#endif\\\\n\\\\\\\",specularmap_fragment:\\\\\\\"\\\\nfloat specularStrength;\\\\n\\\\n#ifdef USE_SPECULARMAP\\\\n\\\\n\\\\tvec4 texelSpecular = texture2D( specularMap, vUv );\\\\n\\\\tspecularStrength = texelSpecular.r;\\\\n\\\\n#else\\\\n\\\\n\\\\tspecularStrength = 1.0;\\\\n\\\\n#endif\\\\n\\\\\\\",specularmap_pars_fragment:\\\\\\\"\\\\n#ifdef USE_SPECULARMAP\\\\n\\\\n\\\\tuniform sampler2D specularMap;\\\\n\\\\n#endif\\\\n\\\\\\\",tonemapping_fragment:\\\\\\\"\\\\n#if defined( TONE_MAPPING )\\\\n\\\\n\\\\tgl_FragColor.rgb = toneMapping( gl_FragColor.rgb );\\\\n\\\\n#endif\\\\n\\\\\\\",tonemapping_pars_fragment:\\\\\\\"\\\\n#ifndef saturate\\\\n// may have defined saturate() already\\\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\\\n#endif\\\\n\\\\nuniform float toneMappingExposure;\\\\n\\\\n// exposure only\\\\nvec3 LinearToneMapping( vec3 color ) {\\\\n\\\\n\\\\treturn toneMappingExposure * color;\\\\n\\\\n}\\\\n\\\\n// source: https://www.cs.utah.edu/~reinhard/cdrom/\\\\nvec3 ReinhardToneMapping( vec3 color ) {\\\\n\\\\n\\\\tcolor *= toneMappingExposure;\\\\n\\\\treturn saturate( color / ( vec3( 1.0 ) + color ) );\\\\n\\\\n}\\\\n\\\\n// source: http://filmicworlds.com/blog/filmic-tonemapping-operators/\\\\nvec3 OptimizedCineonToneMapping( vec3 color ) {\\\\n\\\\n\\\\t// optimized filmic operator by Jim Hejl and Richard Burgess-Dawson\\\\n\\\\tcolor *= toneMappingExposure;\\\\n\\\\tcolor = max( vec3( 0.0 ), color - 0.004 );\\\\n\\\\treturn pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );\\\\n\\\\n}\\\\n\\\\n// source: https://github.com/selfshadow/ltc_code/blob/master/webgl/shaders/ltc/ltc_blit.fs\\\\nvec3 RRTAndODTFit( vec3 v ) {\\\\n\\\\n\\\\tvec3 a = v * ( v + 0.0245786 ) - 0.000090537;\\\\n\\\\tvec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;\\\\n\\\\treturn a / b;\\\\n\\\\n}\\\\n\\\\n// this implementation of ACES is modified to accommodate a brighter viewing environment.\\\\n// the scale factor of 1/0.6 is subjective. see discussion in #19621.\\\\n\\\\nvec3 ACESFilmicToneMapping( vec3 color ) {\\\\n\\\\n\\\\t// sRGB => XYZ => D65_2_D60 => AP1 => RRT_SAT\\\\n\\\\tconst mat3 ACESInputMat = mat3(\\\\n\\\\t\\\\tvec3( 0.59719, 0.07600, 0.02840 ), // transposed from source\\\\n\\\\t\\\\tvec3( 0.35458, 0.90834, 0.13383 ),\\\\n\\\\t\\\\tvec3( 0.04823, 0.01566, 0.83777 )\\\\n\\\\t);\\\\n\\\\n\\\\t// ODT_SAT => XYZ => D60_2_D65 => sRGB\\\\n\\\\tconst mat3 ACESOutputMat = mat3(\\\\n\\\\t\\\\tvec3( 1.60475, -0.10208, -0.00327 ), // transposed from source\\\\n\\\\t\\\\tvec3( -0.53108, 1.10813, -0.07276 ),\\\\n\\\\t\\\\tvec3( -0.07367, -0.00605, 1.07602 )\\\\n\\\\t);\\\\n\\\\n\\\\tcolor *= toneMappingExposure / 0.6;\\\\n\\\\n\\\\tcolor = ACESInputMat * color;\\\\n\\\\n\\\\t// Apply RRT and ODT\\\\n\\\\tcolor = RRTAndODTFit( color );\\\\n\\\\n\\\\tcolor = ACESOutputMat * color;\\\\n\\\\n\\\\t// Clamp to [0, 1]\\\\n\\\\treturn saturate( color );\\\\n\\\\n}\\\\n\\\\nvec3 CustomToneMapping( vec3 color ) { return color; }\\\\n\\\\\\\",transmission_fragment:k,transmission_pars_fragment:\\\\\\\"\\\\n#ifdef USE_TRANSMISSION\\\\n\\\\n\\\\t// Transmission code is based on glTF-Sampler-Viewer\\\\n\\\\t// https://github.com/KhronosGroup/glTF-Sample-Viewer\\\\n\\\\n\\\\tuniform float transmission;\\\\n\\\\tuniform float thickness;\\\\n\\\\tuniform float attenuationDistance;\\\\n\\\\tuniform vec3 attenuationTint;\\\\n\\\\n\\\\t#ifdef USE_TRANSMISSIONMAP\\\\n\\\\n\\\\t\\\\tuniform sampler2D transmissionMap;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef USE_THICKNESSMAP\\\\n\\\\n\\\\t\\\\tuniform sampler2D thicknessMap;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tuniform vec2 transmissionSamplerSize;\\\\n\\\\tuniform sampler2D transmissionSamplerMap;\\\\n\\\\n\\\\tuniform mat4 modelMatrix;\\\\n\\\\tuniform mat4 projectionMatrix;\\\\n\\\\n\\\\tvarying vec3 vWorldPosition;\\\\n\\\\n\\\\tvec3 getVolumeTransmissionRay( vec3 n, vec3 v, float thickness, float ior, mat4 modelMatrix ) {\\\\n\\\\n\\\\t\\\\t// Direction of refracted light.\\\\n\\\\t\\\\tvec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );\\\\n\\\\n\\\\t\\\\t// Compute rotation-independant scaling of the model matrix.\\\\n\\\\t\\\\tvec3 modelScale;\\\\n\\\\t\\\\tmodelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );\\\\n\\\\t\\\\tmodelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );\\\\n\\\\t\\\\tmodelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );\\\\n\\\\n\\\\t\\\\t// The thickness is specified in local space.\\\\n\\\\t\\\\treturn normalize( refractionVector ) * thickness * modelScale;\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tfloat applyIorToRoughness( float roughness, float ior ) {\\\\n\\\\n\\\\t\\\\t// Scale roughness with IOR so that an IOR of 1.0 results in no microfacet refraction and\\\\n\\\\t\\\\t// an IOR of 1.5 results in the default amount of microfacet refraction.\\\\n\\\\t\\\\treturn roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tvec4 getTransmissionSample( vec2 fragCoord, float roughness, float ior ) {\\\\n\\\\n\\\\t\\\\tfloat framebufferLod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );\\\\n\\\\n\\\\t\\\\t#ifdef TEXTURE_LOD_EXT\\\\n\\\\n\\\\t\\\\t\\\\treturn texture2DLodEXT( transmissionSamplerMap, fragCoord.xy, framebufferLod );\\\\n\\\\n\\\\t\\\\t#else\\\\n\\\\n\\\\t\\\\t\\\\treturn texture2D( transmissionSamplerMap, fragCoord.xy, framebufferLod );\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tvec3 applyVolumeAttenuation( vec3 radiance, float transmissionDistance, vec3 attenuationColor, float attenuationDistance ) {\\\\n\\\\n\\\\t\\\\tif ( attenuationDistance == 0.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t// Attenuation distance is +∞ (which we indicate by zero), i.e. the transmitted color is not attenuated at all.\\\\n\\\\t\\\\t\\\\treturn radiance;\\\\n\\\\n\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\t// Compute light attenuation using Beer's law.\\\\n\\\\t\\\\t\\\\tvec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;\\\\n\\\\t\\\\t\\\\tvec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); // Beer's law\\\\n\\\\t\\\\t\\\\treturn transmittance * radiance;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tvec4 getIBLVolumeRefraction( vec3 n, vec3 v, float roughness, vec3 diffuseColor, vec3 specularColor, float specularF90,\\\\n\\\\t\\\\tvec3 position, mat4 modelMatrix, mat4 viewMatrix, mat4 projMatrix, float ior, float thickness,\\\\n\\\\t\\\\tvec3 attenuationColor, float attenuationDistance ) {\\\\n\\\\n\\\\t\\\\tvec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );\\\\n\\\\t\\\\tvec3 refractedRayExit = position + transmissionRay;\\\\n\\\\n\\\\t\\\\t// Project refracted vector on the framebuffer, while mapping to normalized device coordinates.\\\\n\\\\t\\\\tvec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );\\\\n\\\\t\\\\tvec2 refractionCoords = ndcPos.xy / ndcPos.w;\\\\n\\\\t\\\\trefractionCoords += 1.0;\\\\n\\\\t\\\\trefractionCoords /= 2.0;\\\\n\\\\n\\\\t\\\\t// Sample framebuffer to get pixel the refracted ray hits.\\\\n\\\\t\\\\tvec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );\\\\n\\\\n\\\\t\\\\tvec3 attenuatedColor = applyVolumeAttenuation( transmittedLight.rgb, length( transmissionRay ), attenuationColor, attenuationDistance );\\\\n\\\\n\\\\t\\\\t// Get the specular component.\\\\n\\\\t\\\\tvec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );\\\\n\\\\n\\\\t\\\\treturn vec4( ( 1.0 - F ) * attenuatedColor * diffuseColor, transmittedLight.a );\\\\n\\\\n\\\\t}\\\\n#endif\\\\n\\\\\\\",uv_pars_fragment:\\\\\\\"\\\\n#if ( defined( USE_UV ) && ! defined( UVS_VERTEX_ONLY ) )\\\\n\\\\n\\\\tvarying vec2 vUv;\\\\n\\\\n#endif\\\\n\\\\\\\",uv_pars_vertex:\\\\\\\"\\\\n#ifdef USE_UV\\\\n\\\\n\\\\t#ifdef UVS_VERTEX_ONLY\\\\n\\\\n\\\\t\\\\tvec2 vUv;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tuniform mat3 uvTransform;\\\\n\\\\n#endif\\\\n\\\\\\\",uv_vertex:\\\\\\\"\\\\n#ifdef USE_UV\\\\n\\\\n\\\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\\\n\\\\n#endif\\\\n\\\\\\\",uv2_pars_fragment:\\\\\\\"\\\\n#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\\\n\\\\n\\\\tvarying vec2 vUv2;\\\\n\\\\n#endif\\\\n\\\\\\\",uv2_pars_vertex:\\\\\\\"\\\\n#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\\\n\\\\n\\\\tattribute vec2 uv2;\\\\n\\\\tvarying vec2 vUv2;\\\\n\\\\n\\\\tuniform mat3 uv2Transform;\\\\n\\\\n#endif\\\\n\\\\\\\",uv2_vertex:\\\\\\\"\\\\n#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\\\n\\\\n\\\\tvUv2 = ( uv2Transform * vec3( uv2, 1 ) ).xy;\\\\n\\\\n#endif\\\\n\\\\\\\",worldpos_vertex:\\\\\\\"\\\\n#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION )\\\\n\\\\n\\\\tvec4 worldPosition = vec4( transformed, 1.0 );\\\\n\\\\n\\\\t#ifdef USE_INSTANCING\\\\n\\\\n\\\\t\\\\tworldPosition = instanceMatrix * worldPosition;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tworldPosition = modelMatrix * worldPosition;\\\\n\\\\n#endif\\\\n\\\\\\\",background_vert:\\\\\\\"\\\\nvarying vec2 vUv;\\\\nuniform mat3 uvTransform;\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\\\n\\\\n\\\\tgl_Position = vec4( position.xy, 1.0, 1.0 );\\\\n\\\\n}\\\\n\\\\\\\",background_frag:\\\\\\\"\\\\nuniform sampler2D t2D;\\\\n\\\\nvarying vec2 vUv;\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvec4 texColor = texture2D( t2D, vUv );\\\\n\\\\n\\\\tgl_FragColor = mapTexelToLinear( texColor );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",cube_vert:\\\\\\\"\\\\nvarying vec3 vWorldDirection;\\\\n\\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvWorldDirection = transformDirection( position, modelMatrix );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tgl_Position.z = gl_Position.w; // set z to camera.far\\\\n\\\\n}\\\\n\\\\\\\",cube_frag:\\\\\\\"\\\\n#include \\\\nuniform float opacity;\\\\n\\\\nvarying vec3 vWorldDirection;\\\\n\\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvec3 vReflect = vWorldDirection;\\\\n\\\\t#include \\\\n\\\\n\\\\tgl_FragColor = envColor;\\\\n\\\\tgl_FragColor.a *= opacity;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",depth_vert:\\\\\\\"\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\n// This is used for computing an equivalent of gl_FragCoord.z that is as high precision as possible.\\\\n// Some platforms compute gl_FragCoord at a lower precision which makes the manually computed value better for\\\\n// depth-based postprocessing effects. Reproduced on iPad with A10 processor / iPadOS 13.3.1.\\\\nvarying vec2 vHighPrecisionZW;\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\t#ifdef USE_DISPLACEMENTMAP\\\\n\\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tvHighPrecisionZW = gl_Position.zw;\\\\n\\\\n}\\\\n\\\\\\\",depth_frag:\\\\\\\"\\\\n#if DEPTH_PACKING == 3200\\\\n\\\\n\\\\tuniform float opacity;\\\\n\\\\n#endif\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvarying vec2 vHighPrecisionZW;\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec4 diffuseColor = vec4( 1.0 );\\\\n\\\\n\\\\t#if DEPTH_PACKING == 3200\\\\n\\\\n\\\\t\\\\tdiffuseColor.a = opacity;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\t// Higher precision equivalent of gl_FragCoord.z. This assumes depthRange has been left to its default values.\\\\n\\\\tfloat fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;\\\\n\\\\n\\\\t#if DEPTH_PACKING == 3200\\\\n\\\\n\\\\t\\\\tgl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );\\\\n\\\\n\\\\t#elif DEPTH_PACKING == 3201\\\\n\\\\n\\\\t\\\\tgl_FragColor = packDepthToRGBA( fragCoordZ );\\\\n\\\\n\\\\t#endif\\\\n\\\\n}\\\\n\\\\\\\",distanceRGBA_vert:\\\\\\\"\\\\n#define DISTANCE\\\\n\\\\nvarying vec3 vWorldPosition;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\t#ifdef USE_DISPLACEMENTMAP\\\\n\\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tvWorldPosition = worldPosition.xyz;\\\\n\\\\n}\\\\n\\\\\\\",distanceRGBA_frag:\\\\\\\"\\\\n#define DISTANCE\\\\n\\\\nuniform vec3 referencePosition;\\\\nuniform float nearDistance;\\\\nuniform float farDistance;\\\\nvarying vec3 vWorldPosition;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main () {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec4 diffuseColor = vec4( 1.0 );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tfloat dist = length( vWorldPosition - referencePosition );\\\\n\\\\tdist = ( dist - nearDistance ) / ( farDistance - nearDistance );\\\\n\\\\tdist = saturate( dist ); // clamp to [ 0, 1 ]\\\\n\\\\n\\\\tgl_FragColor = packDepthToRGBA( dist );\\\\n\\\\n}\\\\n\\\\\\\",equirect_vert:\\\\\\\"\\\\nvarying vec3 vWorldDirection;\\\\n\\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvWorldDirection = transformDirection( position, modelMatrix );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",equirect_frag:\\\\\\\"\\\\nuniform sampler2D tEquirect;\\\\n\\\\nvarying vec3 vWorldDirection;\\\\n\\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvec3 direction = normalize( vWorldDirection );\\\\n\\\\n\\\\tvec2 sampleUV = equirectUv( direction );\\\\n\\\\n\\\\tvec4 texColor = texture2D( tEquirect, sampleUV );\\\\n\\\\n\\\\tgl_FragColor = mapTexelToLinear( texColor );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",linedashed_vert:\\\\\\\"\\\\nuniform float scale;\\\\nattribute float lineDistance;\\\\n\\\\nvarying float vLineDistance;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvLineDistance = scale * lineDistance;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",linedashed_frag:\\\\\\\"\\\\nuniform vec3 diffuse;\\\\nuniform float opacity;\\\\n\\\\nuniform float dashSize;\\\\nuniform float totalSize;\\\\n\\\\nvarying float vLineDistance;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tif ( mod( vLineDistance, totalSize ) > dashSize ) {\\\\n\\\\n\\\\t\\\\tdiscard;\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tvec3 outgoingLight = vec3( 0.0 );\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\toutgoingLight = diffuseColor.rgb; // simple shader\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",meshbasic_vert:\\\\\\\"\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#if defined ( USE_ENVMAP ) || defined ( USE_SKINNING )\\\\n\\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",meshbasic_frag:\\\\\\\"\\\\nuniform vec3 diffuse;\\\\nuniform float opacity;\\\\n\\\\n#ifndef FLAT_SHADED\\\\n\\\\n\\\\tvarying vec3 vNormal;\\\\n\\\\n#endif\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\n\\\\t// accumulation (baked indirect lighting only)\\\\n\\\\t#ifdef USE_LIGHTMAP\\\\n\\\\n\\\\t\\\\tvec4 lightMapTexel= texture2D( lightMap, vUv2 );\\\\n\\\\t\\\\treflectedLight.indirectDiffuse += lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\treflectedLight.indirectDiffuse += vec3( 1.0 );\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t// modulation\\\\n\\\\t#include \\\\n\\\\n\\\\treflectedLight.indirectDiffuse *= diffuseColor.rgb;\\\\n\\\\n\\\\tvec3 outgoingLight = reflectedLight.indirectDiffuse;\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",meshlambert_vert:\\\\\\\"\\\\n#define LAMBERT\\\\n\\\\nvarying vec3 vLightFront;\\\\nvarying vec3 vIndirectFront;\\\\n\\\\n#ifdef DOUBLE_SIDED\\\\n\\\\tvarying vec3 vLightBack;\\\\n\\\\tvarying vec3 vIndirectBack;\\\\n#endif\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\n\\\\\\\",meshlambert_frag:\\\\\\\"\\\\nuniform vec3 diffuse;\\\\nuniform vec3 emissive;\\\\nuniform float opacity;\\\\n\\\\nvarying vec3 vLightFront;\\\\nvarying vec3 vIndirectFront;\\\\n\\\\n#ifdef DOUBLE_SIDED\\\\n\\\\tvarying vec3 vLightBack;\\\\n\\\\tvarying vec3 vIndirectBack;\\\\n#endif\\\\n\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\tvec3 totalEmissiveRadiance = emissive;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t// accumulation\\\\n\\\\n\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\t\\\\treflectedLight.indirectDiffuse += ( gl_FrontFacing ) ? vIndirectFront : vIndirectBack;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\treflectedLight.indirectDiffuse += vIndirectFront;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\treflectedLight.indirectDiffuse *= BRDF_Lambert( diffuseColor.rgb );\\\\n\\\\n\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\n\\\\t\\\\treflectedLight.directDiffuse = ( gl_FrontFacing ) ? vLightFront : vLightBack;\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\treflectedLight.directDiffuse = vLightFront;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\treflectedLight.directDiffuse *= BRDF_Lambert( diffuseColor.rgb ) * getShadowMask();\\\\n\\\\n\\\\t// modulation\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\n\\\\\\\",meshmatcap_vert:\\\\\\\"\\\\n#define MATCAP\\\\n\\\\nvarying vec3 vViewPosition;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n\\\\n}\\\\n\\\\\\\",meshmatcap_frag:\\\\\\\"\\\\n#define MATCAP\\\\n\\\\nuniform vec3 diffuse;\\\\nuniform float opacity;\\\\nuniform sampler2D matcap;\\\\n\\\\nvarying vec3 vViewPosition;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tvec3 viewDir = normalize( vViewPosition );\\\\n\\\\tvec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );\\\\n\\\\tvec3 y = cross( viewDir, x );\\\\n\\\\tvec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5; // 0.495 to remove artifacts caused by undersized matcap disks\\\\n\\\\n\\\\t#ifdef USE_MATCAP\\\\n\\\\n\\\\t\\\\tvec4 matcapColor = texture2D( matcap, uv );\\\\n\\\\t\\\\tmatcapColor = matcapTexelToLinear( matcapColor );\\\\n\\\\n\\\\t#else\\\\n\\\\n\\\\t\\\\tvec4 matcapColor = vec4( 1.0 );\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tvec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",meshnormal_vert:\\\\\\\"\\\\n#define NORMAL\\\\n\\\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\\\n\\\\n\\\\tvarying vec3 vViewPosition;\\\\n\\\\n#endif\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\\\n\\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n\\\\n#endif\\\\n\\\\n}\\\\n\\\\\\\",meshnormal_frag:\\\\\\\"\\\\n#define NORMAL\\\\n\\\\nuniform float opacity;\\\\n\\\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\\\n\\\\n\\\\tvarying vec3 vViewPosition;\\\\n\\\\n#endif\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tgl_FragColor = vec4( packNormalToRGB( normal ), opacity );\\\\n\\\\n}\\\\n\\\\\\\",meshphong_vert:\\\\\\\"\\\\n#define PHONG\\\\n\\\\nvarying vec3 vViewPosition;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",meshphong_frag:\\\\\\\"\\\\n#define PHONG\\\\n\\\\nuniform vec3 diffuse;\\\\nuniform vec3 emissive;\\\\nuniform vec3 specular;\\\\nuniform float shininess;\\\\nuniform float opacity;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\tvec3 totalEmissiveRadiance = emissive;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t// accumulation\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t// modulation\\\\n\\\\t#include \\\\n\\\\n\\\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",meshphysical_vert:\\\\\\\"\\\\n#define STANDARD\\\\n\\\\nvarying vec3 vViewPosition;\\\\n\\\\n#ifdef USE_TRANSMISSION\\\\n\\\\n\\\\tvarying vec3 vWorldPosition;\\\\n\\\\n#endif\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n#ifdef USE_TRANSMISSION\\\\n\\\\n\\\\tvWorldPosition = worldPosition.xyz;\\\\n\\\\n#endif\\\\n}\\\\n\\\\\\\",meshphysical_frag:\\\\\\\"\\\\n#define STANDARD\\\\n\\\\n#ifdef PHYSICAL\\\\n\\\\t#define IOR\\\\n\\\\t#define SPECULAR\\\\n#endif\\\\n\\\\nuniform vec3 diffuse;\\\\nuniform vec3 emissive;\\\\nuniform float roughness;\\\\nuniform float metalness;\\\\nuniform float opacity;\\\\n\\\\n#ifdef IOR\\\\n\\\\tuniform float ior;\\\\n#endif\\\\n\\\\n#ifdef SPECULAR\\\\n\\\\tuniform float specularIntensity;\\\\n\\\\tuniform vec3 specularTint;\\\\n\\\\n\\\\t#ifdef USE_SPECULARINTENSITYMAP\\\\n\\\\t\\\\tuniform sampler2D specularIntensityMap;\\\\n\\\\t#endif\\\\n\\\\n\\\\t#ifdef USE_SPECULARTINTMAP\\\\n\\\\t\\\\tuniform sampler2D specularTintMap;\\\\n\\\\t#endif\\\\n#endif\\\\n\\\\n#ifdef USE_CLEARCOAT\\\\n\\\\tuniform float clearcoat;\\\\n\\\\tuniform float clearcoatRoughness;\\\\n#endif\\\\n\\\\n#ifdef USE_SHEEN\\\\n\\\\tuniform vec3 sheenTint;\\\\n\\\\tuniform float sheenRoughness;\\\\n#endif\\\\n\\\\nvarying vec3 vViewPosition;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\tvec3 totalEmissiveRadiance = emissive;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t// accumulation\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t// modulation\\\\n\\\\t#include \\\\n\\\\n\\\\tvec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse;\\\\n\\\\tvec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular;\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance;\\\\n\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\n\\\\t\\\\tfloat dotNVcc = saturate( dot( geometry.clearcoatNormal, geometry.viewDir ) );\\\\n\\\\n\\\\t\\\\tvec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc );\\\\n\\\\n\\\\t\\\\toutgoingLight = outgoingLight * ( 1.0 - clearcoat * Fcc ) + clearcoatSpecular * clearcoat;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",meshtoon_vert:\\\\\\\"\\\\n#define TOON\\\\n\\\\nvarying vec3 vViewPosition;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",meshtoon_frag:\\\\\\\"\\\\n#define TOON\\\\n\\\\nuniform vec3 diffuse;\\\\nuniform vec3 emissive;\\\\nuniform float opacity;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\tvec3 totalEmissiveRadiance = emissive;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t// accumulation\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t// modulation\\\\n\\\\t#include \\\\n\\\\n\\\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",points_vert:\\\\\\\"\\\\nuniform float size;\\\\nuniform float scale;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\tgl_PointSize = size;\\\\n\\\\n\\\\t#ifdef USE_SIZEATTENUATION\\\\n\\\\n\\\\t\\\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\\\n\\\\n\\\\t\\\\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",points_frag:\\\\\\\"\\\\nuniform vec3 diffuse;\\\\nuniform float opacity;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec3 outgoingLight = vec3( 0.0 );\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\toutgoingLight = diffuseColor.rgb;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",shadow_vert:\\\\\\\"\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",shadow_frag:\\\\\\\"\\\\nuniform vec3 color;\\\\nuniform float opacity;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tgl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",sprite_vert:\\\\\\\"\\\\nuniform float rotation;\\\\nuniform vec2 center;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );\\\\n\\\\n\\\\tvec2 scale;\\\\n\\\\tscale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );\\\\n\\\\tscale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );\\\\n\\\\n\\\\t#ifndef USE_SIZEATTENUATION\\\\n\\\\n\\\\t\\\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\\\n\\\\n\\\\t\\\\tif ( isPerspective ) scale *= - mvPosition.z;\\\\n\\\\n\\\\t#endif\\\\n\\\\n\\\\tvec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;\\\\n\\\\n\\\\tvec2 rotatedPosition;\\\\n\\\\trotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;\\\\n\\\\trotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;\\\\n\\\\n\\\\tmvPosition.xy += rotatedPosition;\\\\n\\\\n\\\\tgl_Position = projectionMatrix * mvPosition;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\",sprite_frag:\\\\\\\"\\\\nuniform vec3 diffuse;\\\\nuniform float opacity;\\\\n\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvec3 outgoingLight = vec3( 0.0 );\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\toutgoingLight = diffuseColor.rgb;\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n}\\\\n\\\\\\\"};var G=n(11);const V={common:{diffuse:{value:new D.a(16777215)},opacity:{value:1},map:{value:null},uvTransform:{value:new G.a},uv2Transform:{value:new G.a},alphaMap:{value:null},alphaTest:{value:0}},specularmap:{specularMap:{value:null}},envmap:{envMap:{value:null},flipEnvMap:{value:-1},reflectivity:{value:1},ior:{value:1.5},refractionRatio:{value:.98},maxMipLevel:{value:0}},aomap:{aoMap:{value:null},aoMapIntensity:{value:1}},lightmap:{lightMap:{value:null},lightMapIntensity:{value:1}},emissivemap:{emissiveMap:{value:null}},bumpmap:{bumpMap:{value:null},bumpScale:{value:1}},normalmap:{normalMap:{value:null},normalScale:{value:new d.a(1,1)}},displacementmap:{displacementMap:{value:null},displacementScale:{value:1},displacementBias:{value:0}},roughnessmap:{roughnessMap:{value:null}},metalnessmap:{metalnessMap:{value:null}},gradientmap:{gradientMap:{value:null}},fog:{fogDensity:{value:25e-5},fogNear:{value:1},fogFar:{value:2e3},fogColor:{value:new D.a(16777215)}},lights:{ambientLightColor:{value:[]},lightProbe:{value:[]},directionalLights:{value:[],properties:{direction:{},color:{}}},directionalLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},directionalShadowMap:{value:[]},directionalShadowMatrix:{value:[]},spotLights:{value:[],properties:{color:{},position:{},direction:{},distance:{},coneCos:{},penumbraCos:{},decay:{}}},spotLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},spotShadowMap:{value:[]},spotShadowMatrix:{value:[]},pointLights:{value:[],properties:{color:{},position:{},decay:{},distance:{}}},pointLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{},shadowCameraNear:{},shadowCameraFar:{}}},pointShadowMap:{value:[]},pointShadowMatrix:{value:[]},hemisphereLights:{value:[],properties:{direction:{},skyColor:{},groundColor:{}}},rectAreaLights:{value:[],properties:{color:{},position:{},width:{},height:{}}},ltc_1:{value:null},ltc_2:{value:null}},points:{diffuse:{value:new 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Tt{constructor(t){this._renderer=t,this._pingPongRenderTarget=null,this._blurMaterial=function(t){const e=new Float32Array(t),n=new p.a(0,1,0);return new at({name:\\\\\\\"SphericalGaussianBlur\\\\\\\",defines:{n:t},uniforms:{envMap:{value:null},samples:{value:1},weights:{value:e},latitudinal:{value:!1},dTheta:{value:0},mipInt:{value:0},poleAxis:{value:n},inputEncoding:{value:pt[w.U]},outputEncoding:{value:pt[w.U]}},vertexShader:Lt(),fragmentShader:`\\\\n\\\\n\\\\t\\\\t\\\\tprecision mediump float;\\\\n\\\\t\\\\t\\\\tprecision mediump int;\\\\n\\\\n\\\\t\\\\t\\\\tvarying vec3 vOutputDirection;\\\\n\\\\n\\\\t\\\\t\\\\tuniform sampler2D envMap;\\\\n\\\\t\\\\t\\\\tuniform int samples;\\\\n\\\\t\\\\t\\\\tuniform float weights[ n ];\\\\n\\\\t\\\\t\\\\tuniform bool latitudinal;\\\\n\\\\t\\\\t\\\\tuniform float dTheta;\\\\n\\\\t\\\\t\\\\tuniform float mipInt;\\\\n\\\\t\\\\t\\\\tuniform vec3 poleAxis;\\\\n\\\\n\\\\t\\\\t\\\\t${Ot()}\\\\n\\\\n\\\\t\\\\t\\\\t#define 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s=this._allocateTargets();return this._sceneToCubeUV(t,n,i,s),e>0&&this._blur(s,0,0,e),this._applyPMREM(s),this._cleanup(s),s}fromEquirectangular(t){return this._fromTexture(t)}fromCubemap(t){return this._fromTexture(t)}compileCubemapShader(){null===this._cubemapShader&&(this._cubemapShader=Nt(),this._compileMaterial(this._cubemapShader))}compileEquirectangularShader(){null===this._equirectShader&&(this._equirectShader=Ct(),this._compileMaterial(this._equirectShader))}dispose(){this._blurMaterial.dispose(),null!==this._cubemapShader&&this._cubemapShader.dispose(),null!==this._equirectShader&&this._equirectShader.dispose();for(let t=0;t2?ct:0,ct,ct),a.setRenderTarget(i),p&&a.render(d,s),a.render(t,s)}d.geometry.dispose(),d.material.dispose(),a.toneMapping=h,a.outputEncoding=c,a.autoClear=l,t.background=_}_setEncoding(t,e){!0===this._renderer.capabilities.isWebGL2&&e.format===w.Ib&&e.type===w.Zc&&e.encoding===w.ld?t.value=pt[w.U]:t.value=pt[e.encoding]}_textureToCubeUV(t,e){const n=this._renderer;t.isCubeTexture?null==this._cubemapShader&&(this._cubemapShader=Nt()):null==this._equirectShader&&(this._equirectShader=Ct());const i=t.isCubeTexture?this._cubemapShader:this._equirectShader,s=new B.a(mt[0],i),r=i.uniforms;r.envMap.value=t,t.isCubeTexture||r.texelSize.value.set(1/t.image.width,1/t.image.height),this._setEncoding(r.inputEncoding,t),this._setEncoding(r.outputEncoding,e.texture),St(e,0,0,3*ct,2*ct),n.setRenderTarget(e),n.render(s,_t)}_applyPMREM(t){const e=this._renderer,n=e.autoClear;e.autoClear=!1;for(let e=1;edt&&console.warn(`sigmaRadians, ${s}, is too large and will clip, as it requested ${_} samples when the maximum is set to 20`);const m=[];let f=0;for(let t=0;t4?i-8+4:0),3*g,2*g),a.setRenderTarget(e),a.render(c,_t)}}function At(t){return void 0!==t&&t.type===w.Zc&&(t.encoding===w.U||t.encoding===w.ld||t.encoding===w.J)}function Mt(){const t=[],e=[],n=[];let i=8;for(let s=0;s4?o=ht[s-8+4-1]:0==s&&(o=0),n.push(o);const a=1/(r-1),l=-a/2,c=1+a/2,h=[l,l,c,l,c,c,l,l,c,c,l,c],u=6,d=6,p=3,_=2,m=1,f=new Float32Array(p*d*u),g=new Float32Array(_*d*u),v=new Float32Array(m*d*u);for(let t=0;t2?0:-1,i=[e,n,0,e+2/3,n,0,e+2/3,n+1,0,e,n,0,e+2/3,n+1,0,e,n+1,0];f.set(i,p*d*t),g.set(h,_*d*t);const s=[t,t,t,t,t,t];v.set(s,m*d*t)}const y=new S.a;y.setAttribute(\\\\\\\"position\\\\\\\",new C.a(f,p)),y.setAttribute(\\\\\\\"uv\\\\\\\",new C.a(g,_)),y.setAttribute(\\\\\\\"faceIndex\\\\\\\",new C.a(v,m)),t.push(y),i>4&&i--}return{_lodPlanes:t,_sizeLods:e,_sigmas:n}}function Et(t){const e=new K(3*ct,3*ct,t);return e.texture.mapping=w.q,e.texture.name=\\\\\\\"PMREM.cubeUv\\\\\\\",e.scissorTest=!0,e}function St(t,e,n,i,s){t.viewport.set(e,n,i,s),t.scissor.set(e,n,i,s)}function Ct(){const t=new d.a(1,1);return new at({name:\\\\\\\"EquirectangularToCubeUV\\\\\\\",uniforms:{envMap:{value:null},texelSize:{value:t},inputEncoding:{value:pt[w.U]},outputEncoding:{value:pt[w.U]}},vertexShader:Lt(),fragmentShader:`\\\\n\\\\n\\\\t\\\\t\\\\tprecision mediump float;\\\\n\\\\t\\\\t\\\\tprecision mediump int;\\\\n\\\\n\\\\t\\\\t\\\\tvarying vec3 vOutputDirection;\\\\n\\\\n\\\\t\\\\t\\\\tuniform sampler2D envMap;\\\\n\\\\t\\\\t\\\\tuniform vec2 texelSize;\\\\n\\\\n\\\\t\\\\t\\\\t${Ot()}\\\\n\\\\n\\\\t\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec3 outputDirection = normalize( vOutputDirection );\\\\n\\\\t\\\\t\\\\t\\\\tvec2 uv = equirectUv( outputDirection );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec2 f = fract( uv / texelSize - 0.5 );\\\\n\\\\t\\\\t\\\\t\\\\tuv -= f * texelSize;\\\\n\\\\t\\\\t\\\\t\\\\tvec3 tl = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tuv.x += texelSize.x;\\\\n\\\\t\\\\t\\\\t\\\\tvec3 tr = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tuv.y += texelSize.y;\\\\n\\\\t\\\\t\\\\t\\\\tvec3 br = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tuv.x -= texelSize.x;\\\\n\\\\t\\\\t\\\\t\\\\tvec3 bl = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec3 tm = mix( tl, tr, f.x );\\\\n\\\\t\\\\t\\\\t\\\\tvec3 bm = mix( bl, br, f.x );\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb = mix( tm, bm, f.y );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = linearToOutputTexel( gl_FragColor );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t`,blending:w.ub,depthTest:!1,depthWrite:!1})}function Nt(){return new at({name:\\\\\\\"CubemapToCubeUV\\\\\\\",uniforms:{envMap:{value:null},inputEncoding:{value:pt[w.U]},outputEncoding:{value:pt[w.U]}},vertexShader:Lt(),fragmentShader:`\\\\n\\\\n\\\\t\\\\t\\\\tprecision mediump float;\\\\n\\\\t\\\\t\\\\tprecision mediump int;\\\\n\\\\n\\\\t\\\\t\\\\tvarying vec3 vOutputDirection;\\\\n\\\\n\\\\t\\\\t\\\\tuniform samplerCube envMap;\\\\n\\\\n\\\\t\\\\t\\\\t${Ot()}\\\\n\\\\n\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb = envMapTexelToLinear( textureCube( envMap, vec3( - vOutputDirection.x, vOutputDirection.yz ) ) ).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = linearToOutputTexel( gl_FragColor );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t`,blending:w.ub,depthTest:!1,depthWrite:!1})}function Lt(){return\\\\\\\"\\\\n\\\\n\\\\t\\\\tprecision mediump float;\\\\n\\\\t\\\\tprecision mediump int;\\\\n\\\\n\\\\t\\\\tattribute vec3 position;\\\\n\\\\t\\\\tattribute vec2 uv;\\\\n\\\\t\\\\tattribute float faceIndex;\\\\n\\\\n\\\\t\\\\tvarying vec3 vOutputDirection;\\\\n\\\\n\\\\t\\\\t// RH coordinate system; PMREM face-indexing convention\\\\n\\\\t\\\\tvec3 getDirection( vec2 uv, float face ) {\\\\n\\\\n\\\\t\\\\t\\\\tuv = 2.0 * uv - 1.0;\\\\n\\\\n\\\\t\\\\t\\\\tvec3 direction = vec3( uv, 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\tif ( face == 0.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection = direction.zyx; // ( 1, v, u ) pos x\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 1.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection = direction.xzy;\\\\n\\\\t\\\\t\\\\t\\\\tdirection.xz *= -1.0; // ( -u, 1, -v ) pos y\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 2.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection.x *= -1.0; // ( -u, v, 1 ) pos z\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 3.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection = direction.zyx;\\\\n\\\\t\\\\t\\\\t\\\\tdirection.xz *= -1.0; // ( -1, v, -u ) neg x\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 4.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection = direction.xzy;\\\\n\\\\t\\\\t\\\\t\\\\tdirection.xy *= -1.0; // ( -u, -1, v ) neg y\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 5.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection.z *= -1.0; // ( u, v, -1 ) neg z\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\treturn direction;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvOutputDirection = getDirection( uv, faceIndex );\\\\n\\\\t\\\\t\\\\tgl_Position = vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\\\\"}function Ot(){return\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform int inputEncoding;\\\\n\\\\t\\\\tuniform int outputEncoding;\\\\n\\\\n\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\tvec4 inputTexelToLinear( vec4 value ) {\\\\n\\\\n\\\\t\\\\t\\\\tif ( inputEncoding == 0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn value;\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 1 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn sRGBToLinear( value );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 2 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn RGBEToLinear( value );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 3 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn RGBMToLinear( value, 7.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 4 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn RGBMToLinear( value, 16.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 5 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn RGBDToLinear( value, 256.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn GammaToLinear( value, 2.2 );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvec4 linearToOutputTexel( vec4 value ) {\\\\n\\\\n\\\\t\\\\t\\\\tif ( outputEncoding == 0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn value;\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 1 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearTosRGB( value );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 2 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToRGBE( value );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 3 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToRGBM( value, 7.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 4 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToRGBM( value, 16.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 5 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToRGBD( value, 256.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToGamma( value, 2.2 );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvec4 envMapTexelToLinear( vec4 color ) {\\\\n\\\\n\\\\t\\\\t\\\\treturn inputTexelToLinear( color );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\\\\"}function Pt(t){let e=new WeakMap,n=null;function i(t){const n=t.target;n.removeEventListener(\\\\\\\"dispose\\\\\\\",i);const s=e.get(n);void 0!==s&&(e.delete(n),s.dispose())}return{get:function(s){if(s&&s.isTexture&&!1===s.isRenderTargetTexture){const r=s.mapping,o=r===w.D||r===w.E,a=r===w.o||r===w.p;if(o||a){if(e.has(s))return e.get(s).texture;{const r=s.image;if(o&&r&&r.height>0||a&&r&&function(t){let e=0;const n=6;for(let i=0;i65535?C.i:C.h)(n,1);a.version=o;const l=r.get(t);l&&e.remove(l),r.set(t,a)}return{get:function(t,e){return!0===s[e.id]||(e.addEventListener(\\\\\\\"dispose\\\\\\\",o),s[e.id]=!0,n.memory.geometries++),e},update:function(n){const i=n.attributes;for(const n in i)e.update(i[n],t.ARRAY_BUFFER);const s=n.morphAttributes;for(const n in s){const i=s[n];for(let n=0,s=i.length;ne.maxTextureSize&&(u=Math.ceil(h/e.maxTextureSize),h=e.maxTextureSize);const p=new Float32Array(h*u*4*i),_=new zt(p,h,u,i);_.format=w.Ib,_.type=w.G;const m=4*l;for(let e=0;e0)return t;const s=e*n;let r=Jt[s];if(void 0===r&&(r=new Float32Array(s),Jt[s]=r),0!==e){i.toArray(r,0);for(let i=1,s=0;i!==e;++i)s+=n,t[i].toArray(r,s)}return r}function ne(t,e){if(t.length!==e.length)return!1;for(let n=0,i=t.length;n/gm;function on(t){return t.replace(rn,an)}function an(t,e){const n=U[e];if(void 0===n)throw new Error(\\\\\\\"Can not resolve #include <\\\\\\\"+e+\\\\\\\">\\\\\\\");return on(n)}const ln=/#pragma unroll_loop[\\\\s]+?for \\\\( int i \\\\= (\\\\d+)\\\\; i < (\\\\d+)\\\\; i \\\\+\\\\+ \\\\) \\\\{([\\\\s\\\\S]+?)(?=\\\\})\\\\}/g,cn=/#pragma unroll_loop_start\\\\s+for\\\\s*\\\\(\\\\s*int\\\\s+i\\\\s*=\\\\s*(\\\\d+)\\\\s*;\\\\s*i\\\\s*<\\\\s*(\\\\d+)\\\\s*;\\\\s*i\\\\s*\\\\+\\\\+\\\\s*\\\\)\\\\s*{([\\\\s\\\\S]+?)}\\\\s+#pragma unroll_loop_end/g;function hn(t){return t.replace(cn,dn).replace(ln,un)}function un(t,e,n,i){return console.warn(\\\\\\\"WebGLProgram: #pragma unroll_loop shader syntax is deprecated. Please use #pragma unroll_loop_start syntax instead.\\\\\\\"),dn(t,e,n,i)}function dn(t,e,n,i){let s=\\\\\\\"\\\\\\\";for(let t=parseInt(e);t0?t.gammaFactor:1,p=n.isWebGL2?\\\\\\\"\\\\\\\":function(t){return[t.extensionDerivatives||t.envMapCubeUV||t.bumpMap||t.tangentSpaceNormalMap||t.clearcoatNormalMap||t.flatShading||\\\\\\\"physical\\\\\\\"===t.shaderID?\\\\\\\"#extension GL_OES_standard_derivatives : enable\\\\\\\":\\\\\\\"\\\\\\\",(t.extensionFragDepth||t.logarithmicDepthBuffer)&&t.rendererExtensionFragDepth?\\\\\\\"#extension GL_EXT_frag_depth : enable\\\\\\\":\\\\\\\"\\\\\\\",t.extensionDrawBuffers&&t.rendererExtensionDrawBuffers?\\\\\\\"#extension GL_EXT_draw_buffers : require\\\\\\\":\\\\\\\"\\\\\\\",(t.extensionShaderTextureLOD||t.envMap||t.transmission)&&t.rendererExtensionShaderTextureLod?\\\\\\\"#extension GL_EXT_shader_texture_lod : enable\\\\\\\":\\\\\\\"\\\\\\\"].filter(en).join(\\\\\\\"\\\\n\\\\\\\")}(n),_=function(t){const e=[];for(const n in t){const i=t[n];!1!==i&&e.push(\\\\\\\"#define \\\\\\\"+n+\\\\\\\" \\\\\\\"+i)}return e.join(\\\\\\\"\\\\n\\\\\\\")}(r),m=s.createProgram();let f,g,v=n.glslVersion?\\\\\\\"#version \\\\\\\"+n.glslVersion+\\\\\\\"\\\\n\\\\\\\":\\\\\\\"\\\\\\\";n.isRawShaderMaterial?(f=[_].filter(en).join(\\\\\\\"\\\\n\\\\\\\"),f.length>0&&(f+=\\\\\\\"\\\\n\\\\\\\"),g=[p,_].filter(en).join(\\\\\\\"\\\\n\\\\\\\"),g.length>0&&(g+=\\\\\\\"\\\\n\\\\\\\")):(f=[pn(n),\\\\\\\"#define SHADER_NAME \\\\\\\"+n.shaderName,_,n.instancing?\\\\\\\"#define USE_INSTANCING\\\\\\\":\\\\\\\"\\\\\\\",n.instancingColor?\\\\\\\"#define USE_INSTANCING_COLOR\\\\\\\":\\\\\\\"\\\\\\\",n.supportsVertexTextures?\\\\\\\"#define VERTEX_TEXTURES\\\\\\\":\\\\\\\"\\\\\\\",\\\\\\\"#define GAMMA_FACTOR \\\\\\\"+d,\\\\\\\"#define MAX_BONES \\\\\\\"+n.maxBones,n.useFog&&n.fog?\\\\\\\"#define USE_FOG\\\\\\\":\\\\\\\"\\\\\\\",n.useFog&&n.fogExp2?\\\\\\\"#define FOG_EXP2\\\\\\\":\\\\\\\"\\\\\\\",n.map?\\\\\\\"#define USE_MAP\\\\\\\":\\\\\\\"\\\\\\\",n.envMap?\\\\\\\"#define USE_ENVMAP\\\\\\\":\\\\\\\"\\\\\\\",n.envMap?\\\\\\\"#define \\\\\\\"+h:\\\\\\\"\\\\\\\",n.lightMap?\\\\\\\"#define USE_LIGHTMAP\\\\\\\":\\\\\\\"\\\\\\\",n.aoMap?\\\\\\\"#define USE_AOMAP\\\\\\\":\\\\\\\"\\\\\\\",n.emissiveMap?\\\\\\\"#define USE_EMISSIVEMAP\\\\\\\":\\\\\\\"\\\\\\\",n.bumpMap?\\\\\\\"#define USE_BUMPMAP\\\\\\\":\\\\\\\"\\\\\\\",n.normalMap?\\\\\\\"#define USE_NORMALMAP\\\\\\\":\\\\\\\"\\\\\\\",n.normalMap&&n.objectSpaceNormalMap?\\\\\\\"#define OBJECTSPACE_NORMALMAP\\\\\\\":\\\\\\\"\\\\\\\",n.normalMap&&n.tangentSpaceNormalMap?\\\\\\\"#define TANGENTSPACE_NORMALMAP\\\\\\\":\\\\\\\"\\\\\\\",n.clearcoatMap?\\\\\\\"#define USE_CLEARCOATMAP\\\\\\\":\\\\\\\"\\\\\\\",n.clearcoatRoughnessMap?\\\\\\\"#define USE_CLEARCOAT_ROUGHNESSMAP\\\\\\\":\\\\\\\"\\\\\\\",n.clearcoatNormalMap?\\\\\\\"#define USE_CLEARCOAT_NORMALMAP\\\\\\\":\\\\\\\"\\\\\\\",n.displacementMap&&n.supportsVertexTextures?\\\\\\\"#define USE_DISPLACEMENTMAP\\\\\\\":\\\\\\\"\\\\\\\",n.specularMap?\\\\\\\"#define USE_SPECULARMAP\\\\\\\":\\\\\\\"\\\\\\\",n.specularIntensityMap?\\\\\\\"#define USE_SPECULARINTENSITYMAP\\\\\\\":\\\\\\\"\\\\\\\",n.specularTintMap?\\\\\\\"#define USE_SPECULARTINTMAP\\\\\\\":\\\\\\\"\\\\\\\",n.roughnessMap?\\\\\\\"#define USE_ROUGHNESSMAP\\\\\\\":\\\\\\\"\\\\\\\",n.metalnessMap?\\\\\\\"#define USE_METALNESSMAP\\\\\\\":\\\\\\\"\\\\\\\",n.alphaMap?\\\\\\\"#define USE_ALPHAMAP\\\\\\\":\\\\\\\"\\\\\\\",n.transmission?\\\\\\\"#define USE_TRANSMISSION\\\\\\\":\\\\\\\"\\\\\\\",n.transmissionMap?\\\\\\\"#define USE_TRANSMISSIONMAP\\\\\\\":\\\\\\\"\\\\\\\",n.thicknessMap?\\\\\\\"#define USE_THICKNESSMAP\\\\\\\":\\\\\\\"\\\\\\\",n.vertexTangents?\\\\\\\"#define USE_TANGENT\\\\\\\":\\\\\\\"\\\\\\\",n.vertexColors?\\\\\\\"#define USE_COLOR\\\\\\\":\\\\\\\"\\\\\\\",n.vertexAlphas?\\\\\\\"#define USE_COLOR_ALPHA\\\\\\\":\\\\\\\"\\\\\\\",n.vertexUvs?\\\\\\\"#define USE_UV\\\\\\\":\\\\\\\"\\\\\\\",n.uvsVertexOnly?\\\\\\\"#define UVS_VERTEX_ONLY\\\\\\\":\\\\\\\"\\\\\\\",n.flatShading?\\\\\\\"#define FLAT_SHADED\\\\\\\":\\\\\\\"\\\\\\\",n.skinning?\\\\\\\"#define USE_SKINNING\\\\\\\":\\\\\\\"\\\\\\\",n.useVertexTexture?\\\\\\\"#define BONE_TEXTURE\\\\\\\":\\\\\\\"\\\\\\\",n.morphTargets?\\\\\\\"#define USE_MORPHTARGETS\\\\\\\":\\\\\\\"\\\\\\\",n.morphNormals&&!1===n.flatShading?\\\\\\\"#define USE_MORPHNORMALS\\\\\\\":\\\\\\\"\\\\\\\",n.morphTargets&&n.isWebGL2?\\\\\\\"#define MORPHTARGETS_TEXTURE\\\\\\\":\\\\\\\"\\\\\\\",n.morphTargets&&n.isWebGL2?\\\\\\\"#define MORPHTARGETS_COUNT \\\\\\\"+n.morphTargetsCount:\\\\\\\"\\\\\\\",n.doubleSided?\\\\\\\"#define DOUBLE_SIDED\\\\\\\":\\\\\\\"\\\\\\\",n.flipSided?\\\\\\\"#define FLIP_SIDED\\\\\\\":\\\\\\\"\\\\\\\",n.shadowMapEnabled?\\\\\\\"#define USE_SHADOWMAP\\\\\\\":\\\\\\\"\\\\\\\",n.shadowMapEnabled?\\\\\\\"#define \\\\\\\"+l:\\\\\\\"\\\\\\\",n.sizeAttenuation?\\\\\\\"#define USE_SIZEATTENUATION\\\\\\\":\\\\\\\"\\\\\\\",n.logarithmicDepthBuffer?\\\\\\\"#define USE_LOGDEPTHBUF\\\\\\\":\\\\\\\"\\\\\\\",n.logarithmicDepthBuffer&&n.rendererExtensionFragDepth?\\\\\\\"#define USE_LOGDEPTHBUF_EXT\\\\\\\":\\\\\\\"\\\\\\\",\\\\\\\"uniform mat4 modelMatrix;\\\\\\\",\\\\\\\"uniform mat4 modelViewMatrix;\\\\\\\",\\\\\\\"uniform mat4 projectionMatrix;\\\\\\\",\\\\\\\"uniform mat4 viewMatrix;\\\\\\\",\\\\\\\"uniform mat3 normalMatrix;\\\\\\\",\\\\\\\"uniform vec3 cameraPosition;\\\\\\\",\\\\\\\"uniform bool isOrthographic;\\\\\\\",\\\\\\\"#ifdef USE_INSTANCING\\\\\\\",\\\\\\\"\\\\tattribute mat4 instanceMatrix;\\\\\\\",\\\\\\\"#endif\\\\\\\",\\\\\\\"#ifdef USE_INSTANCING_COLOR\\\\\\\",\\\\\\\"\\\\tattribute vec3 instanceColor;\\\\\\\",\\\\\\\"#endif\\\\\\\",\\\\\\\"attribute vec3 position;\\\\\\\",\\\\\\\"attribute vec3 normal;\\\\\\\",\\\\\\\"attribute vec2 uv;\\\\\\\",\\\\\\\"#ifdef USE_TANGENT\\\\\\\",\\\\\\\"\\\\tattribute vec4 tangent;\\\\\\\",\\\\\\\"#endif\\\\\\\",\\\\\\\"#if defined( USE_COLOR_ALPHA )\\\\\\\",\\\\\\\"\\\\tattribute vec4 color;\\\\\\\",\\\\\\\"#elif defined( USE_COLOR )\\\\\\\",\\\\\\\"\\\\tattribute vec3 color;\\\\\\\",\\\\\\\"#endif\\\\\\\",\\\\\\\"#if ( defined( USE_MORPHTARGETS ) && ! defined( MORPHTARGETS_TEXTURE ) )\\\\\\\",\\\\\\\"\\\\tattribute vec3 morphTarget0;\\\\\\\",\\\\\\\"\\\\tattribute vec3 morphTarget1;\\\\\\\",\\\\\\\"\\\\tattribute vec3 morphTarget2;\\\\\\\",\\\\\\\"\\\\tattribute vec3 morphTarget3;\\\\\\\",\\\\\\\"\\\\t#ifdef USE_MORPHNORMALS\\\\\\\",\\\\\\\"\\\\t\\\\tattribute vec3 morphNormal0;\\\\\\\",\\\\\\\"\\\\t\\\\tattribute vec3 morphNormal1;\\\\\\\",\\\\\\\"\\\\t\\\\tattribute vec3 morphNormal2;\\\\\\\",\\\\\\\"\\\\t\\\\tattribute vec3 morphNormal3;\\\\\\\",\\\\\\\"\\\\t#else\\\\\\\",\\\\\\\"\\\\t\\\\tattribute vec3 morphTarget4;\\\\\\\",\\\\\\\"\\\\t\\\\tattribute vec3 morphTarget5;\\\\\\\",\\\\\\\"\\\\t\\\\tattribute vec3 morphTarget6;\\\\\\\",\\\\\\\"\\\\t\\\\tattribute vec3 morphTarget7;\\\\\\\",\\\\\\\"\\\\t#endif\\\\\\\",\\\\\\\"#endif\\\\\\\",\\\\\\\"#ifdef USE_SKINNING\\\\\\\",\\\\\\\"\\\\tattribute vec4 skinIndex;\\\\\\\",\\\\\\\"\\\\tattribute vec4 skinWeight;\\\\\\\",\\\\\\\"#endif\\\\\\\",\\\\\\\"\\\\n\\\\\\\"].filter(en).join(\\\\\\\"\\\\n\\\\\\\"),g=[p,pn(n),\\\\\\\"#define SHADER_NAME \\\\\\\"+n.shaderName,_,\\\\\\\"#define GAMMA_FACTOR \\\\\\\"+d,n.useFog&&n.fog?\\\\\\\"#define USE_FOG\\\\\\\":\\\\\\\"\\\\\\\",n.useFog&&n.fogExp2?\\\\\\\"#define FOG_EXP2\\\\\\\":\\\\\\\"\\\\\\\",n.map?\\\\\\\"#define USE_MAP\\\\\\\":\\\\\\\"\\\\\\\",n.matcap?\\\\\\\"#define USE_MATCAP\\\\\\\":\\\\\\\"\\\\\\\",n.envMap?\\\\\\\"#define USE_ENVMAP\\\\\\\":\\\\\\\"\\\\\\\",n.envMap?\\\\\\\"#define \\\\\\\"+c:\\\\\\\"\\\\\\\",n.envMap?\\\\\\\"#define \\\\\\\"+h:\\\\\\\"\\\\\\\",n.envMap?\\\\\\\"#define \\\\\\\"+u:\\\\\\\"\\\\\\\",n.lightMap?\\\\\\\"#define USE_LIGHTMAP\\\\\\\":\\\\\\\"\\\\\\\",n.aoMap?\\\\\\\"#define USE_AOMAP\\\\\\\":\\\\\\\"\\\\\\\",n.emissiveMap?\\\\\\\"#define USE_EMISSIVEMAP\\\\\\\":\\\\\\\"\\\\\\\",n.bumpMap?\\\\\\\"#define USE_BUMPMAP\\\\\\\":\\\\\\\"\\\\\\\",n.normalMap?\\\\\\\"#define USE_NORMALMAP\\\\\\\":\\\\\\\"\\\\\\\",n.normalMap&&n.objectSpaceNormalMap?\\\\\\\"#define OBJECTSPACE_NORMALMAP\\\\\\\":\\\\\\\"\\\\\\\",n.normalMap&&n.tangentSpaceNormalMap?\\\\\\\"#define TANGENTSPACE_NORMALMAP\\\\\\\":\\\\\\\"\\\\\\\",n.clearcoat?\\\\\\\"#define USE_CLEARCOAT\\\\\\\":\\\\\\\"\\\\\\\",n.clearcoatMap?\\\\\\\"#define USE_CLEARCOATMAP\\\\\\\":\\\\\\\"\\\\\\\",n.clearcoatRoughnessMap?\\\\\\\"#define USE_CLEARCOAT_ROUGHNESSMAP\\\\\\\":\\\\\\\"\\\\\\\",n.clearcoatNormalMap?\\\\\\\"#define USE_CLEARCOAT_NORMALMAP\\\\\\\":\\\\\\\"\\\\\\\",n.specularMap?\\\\\\\"#define USE_SPECULARMAP\\\\\\\":\\\\\\\"\\\\\\\",n.specularIntensityMap?\\\\\\\"#define USE_SPECULARINTENSITYMAP\\\\\\\":\\\\\\\"\\\\\\\",n.specularTintMap?\\\\\\\"#define USE_SPECULARTINTMAP\\\\\\\":\\\\\\\"\\\\\\\",n.roughnessMap?\\\\\\\"#define USE_ROUGHNESSMAP\\\\\\\":\\\\\\\"\\\\\\\",n.metalnessMap?\\\\\\\"#define USE_METALNESSMAP\\\\\\\":\\\\\\\"\\\\\\\",n.alphaMap?\\\\\\\"#define USE_ALPHAMAP\\\\\\\":\\\\\\\"\\\\\\\",n.alphaTest?\\\\\\\"#define USE_ALPHATEST\\\\\\\":\\\\\\\"\\\\\\\",n.sheen?\\\\\\\"#define USE_SHEEN\\\\\\\":\\\\\\\"\\\\\\\",n.transmission?\\\\\\\"#define USE_TRANSMISSION\\\\\\\":\\\\\\\"\\\\\\\",n.transmissionMap?\\\\\\\"#define USE_TRANSMISSIONMAP\\\\\\\":\\\\\\\"\\\\\\\",n.thicknessMap?\\\\\\\"#define USE_THICKNESSMAP\\\\\\\":\\\\\\\"\\\\\\\",n.vertexTangents?\\\\\\\"#define USE_TANGENT\\\\\\\":\\\\\\\"\\\\\\\",n.vertexColors||n.instancingColor?\\\\\\\"#define USE_COLOR\\\\\\\":\\\\\\\"\\\\\\\",n.vertexAlphas?\\\\\\\"#define USE_COLOR_ALPHA\\\\\\\":\\\\\\\"\\\\\\\",n.vertexUvs?\\\\\\\"#define USE_UV\\\\\\\":\\\\\\\"\\\\\\\",n.uvsVertexOnly?\\\\\\\"#define UVS_VERTEX_ONLY\\\\\\\":\\\\\\\"\\\\\\\",n.gradientMap?\\\\\\\"#define USE_GRADIENTMAP\\\\\\\":\\\\\\\"\\\\\\\",n.flatShading?\\\\\\\"#define FLAT_SHADED\\\\\\\":\\\\\\\"\\\\\\\",n.doubleSided?\\\\\\\"#define DOUBLE_SIDED\\\\\\\":\\\\\\\"\\\\\\\",n.flipSided?\\\\\\\"#define FLIP_SIDED\\\\\\\":\\\\\\\"\\\\\\\",n.shadowMapEnabled?\\\\\\\"#define USE_SHADOWMAP\\\\\\\":\\\\\\\"\\\\\\\",n.shadowMapEnabled?\\\\\\\"#define \\\\\\\"+l:\\\\\\\"\\\\\\\",n.premultipliedAlpha?\\\\\\\"#define PREMULTIPLIED_ALPHA\\\\\\\":\\\\\\\"\\\\\\\",n.physicallyCorrectLights?\\\\\\\"#define PHYSICALLY_CORRECT_LIGHTS\\\\\\\":\\\\\\\"\\\\\\\",n.logarithmicDepthBuffer?\\\\\\\"#define USE_LOGDEPTHBUF\\\\\\\":\\\\\\\"\\\\\\\",n.logarithmicDepthBuffer&&n.rendererExtensionFragDepth?\\\\\\\"#define USE_LOGDEPTHBUF_EXT\\\\\\\":\\\\\\\"\\\\\\\",(n.extensionShaderTextureLOD||n.envMap)&&n.rendererExtensionShaderTextureLod?\\\\\\\"#define TEXTURE_LOD_EXT\\\\\\\":\\\\\\\"\\\\\\\",\\\\\\\"uniform mat4 viewMatrix;\\\\\\\",\\\\\\\"uniform vec3 cameraPosition;\\\\\\\",\\\\\\\"uniform bool isOrthographic;\\\\\\\",n.toneMapping!==w.vb?\\\\\\\"#define TONE_MAPPING\\\\\\\":\\\\\\\"\\\\\\\",n.toneMapping!==w.vb?U.tonemapping_pars_fragment:\\\\\\\"\\\\\\\",n.toneMapping!==w.vb?tn(\\\\\\\"toneMapping\\\\\\\",n.toneMapping):\\\\\\\"\\\\\\\",n.dithering?\\\\\\\"#define DITHERING\\\\\\\":\\\\\\\"\\\\\\\",n.format===w.ic?\\\\\\\"#define OPAQUE\\\\\\\":\\\\\\\"\\\\\\\",U.encodings_pars_fragment,n.map?Ke(\\\\\\\"mapTexelToLinear\\\\\\\",n.mapEncoding):\\\\\\\"\\\\\\\",n.matcap?Ke(\\\\\\\"matcapTexelToLinear\\\\\\\",n.matcapEncoding):\\\\\\\"\\\\\\\",n.envMap?Ke(\\\\\\\"envMapTexelToLinear\\\\\\\",n.envMapEncoding):\\\\\\\"\\\\\\\",n.emissiveMap?Ke(\\\\\\\"emissiveMapTexelToLinear\\\\\\\",n.emissiveMapEncoding):\\\\\\\"\\\\\\\",n.specularTintMap?Ke(\\\\\\\"specularTintMapTexelToLinear\\\\\\\",n.specularTintMapEncoding):\\\\\\\"\\\\\\\",n.lightMap?Ke(\\\\\\\"lightMapTexelToLinear\\\\\\\",n.lightMapEncoding):\\\\\\\"\\\\\\\",Qe(\\\\\\\"linearToOutputTexel\\\\\\\",n.outputEncoding),n.depthPacking?\\\\\\\"#define DEPTH_PACKING \\\\\\\"+n.depthPacking:\\\\\\\"\\\\\\\",\\\\\\\"\\\\n\\\\\\\"].filter(en).join(\\\\\\\"\\\\n\\\\\\\")),o=on(o),o=nn(o,n),o=sn(o,n),a=on(a),a=nn(a,n),a=sn(a,n),o=hn(o),a=hn(a),n.isWebGL2&&!0!==n.isRawShaderMaterial&&(v=\\\\\\\"#version 300 es\\\\n\\\\\\\",f=[\\\\\\\"precision mediump sampler2DArray;\\\\\\\",\\\\\\\"#define attribute in\\\\\\\",\\\\\\\"#define varying out\\\\\\\",\\\\\\\"#define texture2D texture\\\\\\\"].join(\\\\\\\"\\\\n\\\\\\\")+\\\\\\\"\\\\n\\\\\\\"+f,g=[\\\\\\\"#define varying in\\\\\\\",n.glslVersion===w.I?\\\\\\\"\\\\\\\":\\\\\\\"out highp vec4 pc_fragColor;\\\\\\\",n.glslVersion===w.I?\\\\\\\"\\\\\\\":\\\\\\\"#define gl_FragColor pc_fragColor\\\\\\\",\\\\\\\"#define gl_FragDepthEXT gl_FragDepth\\\\\\\",\\\\\\\"#define texture2D texture\\\\\\\",\\\\\\\"#define textureCube texture\\\\\\\",\\\\\\\"#define texture2DProj textureProj\\\\\\\",\\\\\\\"#define texture2DLodEXT textureLod\\\\\\\",\\\\\\\"#define texture2DProjLodEXT textureProjLod\\\\\\\",\\\\\\\"#define textureCubeLodEXT textureLod\\\\\\\",\\\\\\\"#define texture2DGradEXT textureGrad\\\\\\\",\\\\\\\"#define texture2DProjGradEXT textureProjGrad\\\\\\\",\\\\\\\"#define textureCubeGradEXT textureGrad\\\\\\\"].join(\\\\\\\"\\\\n\\\\\\\")+\\\\\\\"\\\\n\\\\\\\"+g);const y=v+f+o,x=v+g+a,b=Ye(s,s.VERTEX_SHADER,y),T=Ye(s,s.FRAGMENT_SHADER,x);if(s.attachShader(m,b),s.attachShader(m,T),void 0!==n.index0AttributeName?s.bindAttribLocation(m,0,n.index0AttributeName):!0===n.morphTargets&&s.bindAttribLocation(m,0,\\\\\\\"position\\\\\\\"),s.linkProgram(m),t.debug.checkShaderErrors){const t=s.getProgramInfoLog(m).trim(),e=s.getShaderInfoLog(b).trim(),n=s.getShaderInfoLog(T).trim();let i=!0,r=!0;if(!1===s.getProgramParameter(m,s.LINK_STATUS)){i=!1;const e=Ze(s,b,\\\\\\\"vertex\\\\\\\"),n=Ze(s,T,\\\\\\\"fragment\\\\\\\");console.error(\\\\\\\"THREE.WebGLProgram: Shader Error \\\\\\\"+s.getError()+\\\\\\\" - VALIDATE_STATUS \\\\\\\"+s.getProgramParameter(m,s.VALIDATE_STATUS)+\\\\\\\"\\\\n\\\\nProgram Info Log: \\\\\\\"+t+\\\\\\\"\\\\n\\\\\\\"+e+\\\\\\\"\\\\n\\\\\\\"+n)}else\\\\\\\"\\\\\\\"!==t?console.warn(\\\\\\\"THREE.WebGLProgram: Program Info 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0!==r.depthPacking&&r.depthPacking,index0AttributeName:r.index0AttributeName,extensionDerivatives:r.extensions&&r.extensions.derivatives,extensionFragDepth:r.extensions&&r.extensions.fragDepth,extensionDrawBuffers:r.extensions&&r.extensions.drawBuffers,extensionShaderTextureLOD:r.extensions&&r.extensions.shaderTextureLOD,rendererExtensionFragDepth:l||i.has(\\\\\\\"EXT_frag_depth\\\\\\\"),rendererExtensionDrawBuffers:l||i.has(\\\\\\\"WEBGL_draw_buffers\\\\\\\"),rendererExtensionShaderTextureLod:l||i.has(\\\\\\\"EXT_shader_texture_lod\\\\\\\"),customProgramCacheKey:r.customProgramCacheKey()}},getProgramCacheKey:function(e){const n=[];if(e.shaderID?n.push(e.shaderID):(n.push(e.fragmentShader),n.push(e.vertexShader)),void 0!==e.defines)for(const t in e.defines)n.push(t),n.push(e.defines[t]);if(!1===e.isRawShaderMaterial){for(let t=0;t0?s.push(h):!0===n.transparent?r.push(h):i.push(h)},unshift:function(t,e,n,o,l,c){const h=a(t,e,n,o,l,c);n.transmission>0?s.unshift(h):!0===n.transparent?r.unshift(h):i.unshift(h)},finish:function(){for(let t=n,i=e.length;t1&&i.sort(t||gn),s.length>1&&s.sort(e||vn),r.length>1&&r.sort(e||vn)}}}function xn(t){let e=new WeakMap;return{get:function(n,i){let s;return!1===e.has(n)?(s=new yn(t),e.set(n,[s])):i>=e.get(n).length?(s=new yn(t),e.get(n).push(s)):s=e.get(n)[i],s},dispose:function(){e=new WeakMap}}}function bn(){const t={};return{get:function(e){if(void 0!==t[e.id])return t[e.id];let n;switch(e.type){case\\\\\\\"DirectionalLight\\\\\\\":n={direction:new p.a,color:new D.a};break;case\\\\\\\"SpotLight\\\\\\\":n={position:new p.a,direction:new p.a,color:new D.a,distance:0,coneCos:0,penumbraCos:0,decay:0};break;case\\\\\\\"PointLight\\\\\\\":n={position:new p.a,color:new D.a,distance:0,decay:0};break;case\\\\\\\"HemisphereLight\\\\\\\":n={direction:new p.a,skyColor:new D.a,groundColor:new D.a};break;case\\\\\\\"RectAreaLight\\\\\\\":n={color:new D.a,position:new p.a,halfWidth:new p.a,halfHeight:new p.a}}return t[e.id]=n,n}}}let wn=0;function Tn(t,e){return(e.castShadow?1:0)-(t.castShadow?1:0)}function An(t,e){const n=new bn,i=function(){const t={};return{get:function(e){if(void 0!==t[e.id])return t[e.id];let n;switch(e.type){case\\\\\\\"DirectionalLight\\\\\\\":case\\\\\\\"SpotLight\\\\\\\":n={shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new d.a};break;case\\\\\\\"PointLight\\\\\\\":n={shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new d.a,shadowCameraNear:1,shadowCameraFar:1e3}}return t[e.id]=n,n}}}(),s={version:0,hash:{directionalLength:-1,pointLength:-1,spotLength:-1,rectAreaLength:-1,hemiLength:-1,numDirectionalShadows:-1,numPointShadows:-1,numSpotShadows:-1},ambient:[0,0,0],probe:[],directional:[],directionalShadow:[],directionalShadowMap:[],directionalShadowMatrix:[],spot:[],spotShadow:[],spotShadowMap:[],spotShadowMatrix:[],rectArea:[],rectAreaLTC1:null,rectAreaLTC2:null,point:[],pointShadow:[],pointShadowMap:[],pointShadowMatrix:[],hemi:[]};for(let t=0;t<9;t++)s.probe.push(new p.a);const r=new p.a,o=new A.a,a=new A.a;return{setup:function(r,o){let a=0,l=0,c=0;for(let t=0;t<9;t++)s.probe[t].set(0,0,0);let h=0,u=0,d=0,p=0,_=0,m=0,f=0,g=0;r.sort(Tn);const v=!0!==o?Math.PI:1;for(let t=0,e=r.length;t0&&(e.isWebGL2||!0===t.has(\\\\\\\"OES_texture_float_linear\\\\\\\")?(s.rectAreaLTC1=V.LTC_FLOAT_1,s.rectAreaLTC2=V.LTC_FLOAT_2):!0===t.has(\\\\\\\"OES_texture_half_float_linear\\\\\\\")?(s.rectAreaLTC1=V.LTC_HALF_1,s.rectAreaLTC2=V.LTC_HALF_2):console.error(\\\\\\\"THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.\\\\\\\")),s.ambient[0]=a,s.ambient[1]=l,s.ambient[2]=c;const y=s.hash;y.directionalLength===h&&y.pointLength===u&&y.spotLength===d&&y.rectAreaLength===p&&y.hemiLength===_&&y.numDirectionalShadows===m&&y.numPointShadows===f&&y.numSpotShadows===g||(s.directional.length=h,s.spot.length=d,s.rectArea.length=p,s.point.length=u,s.hemi.length=_,s.directionalShadow.length=m,s.directionalShadowMap.length=m,s.pointShadow.length=f,s.pointShadowMap.length=f,s.spotShadow.length=g,s.spotShadowMap.length=g,s.directionalShadowMatrix.length=m,s.pointShadowMatrix.length=f,s.spotShadowMatrix.length=g,y.directionalLength=h,y.pointLength=u,y.spotLength=d,y.rectAreaLength=p,y.hemiLength=_,y.numDirectionalShadows=m,y.numPointShadows=f,y.numSpotShadows=g,s.version=wn++)},setupView:function(t,e){let n=0,i=0,l=0,c=0,h=0;const u=e.matrixWorldInverse;for(let e=0,d=t.length;e=n.get(i).length?(r=new Mn(t,e),n.get(i).push(r)):r=n.get(i)[s],r},dispose:function(){n=new WeakMap}}}class Sn extends O.a{constructor(t){super(),this.type=\\\\\\\"MeshDepthMaterial\\\\\\\",this.depthPacking=w.j,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.fog=!1,this.setValues(t)}copy(t){return super.copy(t),this.depthPacking=t.depthPacking,this.map=t.map,this.alphaMap=t.alphaMap,this.displacementMap=t.displacementMap,this.displacementScale=t.displacementScale,this.displacementBias=t.displacementBias,this.wireframe=t.wireframe,this.wireframeLinewidth=t.wireframeLinewidth,this}}Sn.prototype.isMeshDepthMaterial=!0;class Cn extends O.a{constructor(t){super(),this.type=\\\\\\\"MeshDistanceMaterial\\\\\\\",this.referencePosition=new p.a,this.nearDistance=1,this.farDistance=1e3,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.fog=!1,this.setValues(t)}copy(t){return super.copy(t),this.referencePosition.copy(t.referencePosition),this.nearDistance=t.nearDistance,this.farDistance=t.farDistance,this.map=t.map,this.alphaMap=t.alphaMap,this.displacementMap=t.displacementMap,this.displacementScale=t.displacementScale,this.displacementBias=t.displacementBias,this}}Cn.prototype.isMeshDistanceMaterial=!0;function Nn(t,e,n){let i=new T.a;const s=new d.a,r=new d.a,o=new _.a,a=new Sn({depthPacking:w.Hb}),l=new Cn,c={},h=n.maxTextureSize,u={0:w.i,1:w.H,2:w.z},p=new F({uniforms:{shadow_pass:{value:null},resolution:{value:new d.a},radius:{value:4},samples:{value:8}},vertexShader:\\\\\\\"\\\\nvoid main() {\\\\n\\\\n\\\\tgl_Position = vec4( position, 1.0 );\\\\n\\\\n}\\\\n\\\\\\\",fragmentShader:\\\\\\\"\\\\nuniform sampler2D shadow_pass;\\\\nuniform vec2 resolution;\\\\nuniform float radius;\\\\nuniform float samples;\\\\n\\\\n#include \\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tfloat mean = 0.0;\\\\n\\\\tfloat squared_mean = 0.0;\\\\n\\\\n\\\\t// This seems totally useless but it's a crazy work around for a Adreno compiler bug\\\\n\\\\t// float depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy ) / resolution ) );\\\\n\\\\n\\\\tfloat uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 );\\\\n\\\\tfloat uvStart = samples <= 1.0 ? 0.0 : - 1.0;\\\\n\\\\tfor ( float i = 0.0; i < samples; i ++ ) {\\\\n\\\\n\\\\t\\\\tfloat uvOffset = uvStart + i * uvStride;\\\\n\\\\n\\\\t\\\\t#ifdef HORIZONTAL_PASS\\\\n\\\\n\\\\t\\\\t\\\\tvec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) );\\\\n\\\\t\\\\t\\\\tmean += distribution.x;\\\\n\\\\t\\\\t\\\\tsquared_mean += distribution.y * distribution.y + distribution.x * distribution.x;\\\\n\\\\n\\\\t\\\\t#else\\\\n\\\\n\\\\t\\\\t\\\\tfloat depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) );\\\\n\\\\t\\\\t\\\\tmean += depth;\\\\n\\\\t\\\\t\\\\tsquared_mean += depth * depth;\\\\n\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t}\\\\n\\\\n\\\\tmean = mean / samples;\\\\n\\\\tsquared_mean = squared_mean / samples;\\\\n\\\\n\\\\tfloat std_dev = sqrt( squared_mean - mean * mean );\\\\n\\\\n\\\\tgl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );\\\\n\\\\n}\\\\n\\\\\\\"}),m=p.clone();m.defines.HORIZONTAL_PASS=1;const f=new S.a;f.setAttribute(\\\\\\\"position\\\\\\\",new C.a(new Float32Array([-1,-1,.5,3,-1,.5,-1,3,.5]),3));const g=new B.a(f,p),v=this;function y(n,i){const s=e.update(g);p.uniforms.shadow_pass.value=n.map.texture,p.uniforms.resolution.value=n.mapSize,p.uniforms.radius.value=n.radius,p.uniforms.samples.value=n.blurSamples,t.setRenderTarget(n.mapPass),t.clear(),t.renderBufferDirect(i,null,s,p,g,null),m.uniforms.shadow_pass.value=n.mapPass.texture,m.uniforms.resolution.value=n.mapSize,m.uniforms.radius.value=n.radius,m.uniforms.samples.value=n.blurSamples,t.setRenderTarget(n.map),t.clear(),t.renderBufferDirect(i,null,s,m,g,null)}function x(e,n,i,s,r,o,h){let d=null;const p=!0===s.isPointLight?e.customDistanceMaterial:e.customDepthMaterial;if(d=void 0!==p?p:!0===s.isPointLight?l:a,t.localClippingEnabled&&!0===i.clipShadows&&0!==i.clippingPlanes.length||i.displacementMap&&0!==i.displacementScale||i.alphaMap&&i.alphaTest>0){const t=d.uuid,e=i.uuid;let n=c[t];void 0===n&&(n={},c[t]=n);let s=n[e];void 0===s&&(s=d.clone(),n[e]=s),d=s}return 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l=0,c=e.length;lh||s.y>h)&&(s.x>h&&(r.x=Math.floor(h/p.x),s.x=r.x*p.x,u.mapSize.x=r.x),s.y>h&&(r.y=Math.floor(h/p.y),s.y=r.y*p.y,u.mapSize.y=r.y)),null===u.map&&!u.isPointLightShadow&&this.type===w.gd){const t={minFilter:w.V,magFilter:w.V,format:w.Ib};u.map=new K(s.x,s.y,t),u.map.texture.name=c.name+\\\\\\\".shadowMap\\\\\\\",u.mapPass=new K(s.x,s.y,t),u.camera.updateProjectionMatrix()}if(null===u.map){const t={minFilter:w.ob,magFilter:w.ob,format:w.Ib};u.map=new K(s.x,s.y,t),u.map.texture.name=c.name+\\\\\\\".shadowMap\\\\\\\",u.camera.updateProjectionMatrix()}t.setRenderTarget(u.map),t.clear();const _=u.getViewportCount();for(let t=0;t<_;t++){const e=u.getViewport(t);o.set(r.x*e.x,r.y*e.y,r.x*e.z,r.y*e.w),d.viewport(o),u.updateMatrices(c,t),i=u.getFrustum(),b(n,a,u.camera,c,this.type)}u.isPointLightShadow||this.type!==w.gd||y(u,a),u.needsUpdate=!1}v.needsUpdate=!1,t.setRenderTarget(l,c,u)}}function Ln(t,e,n){const i=n.isWebGL2;const s=new function(){let e=!1;const n=new _.a;let 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function(){let e=!1,n=null,i=null,s=null,r=null,o=null,a=null,l=null,c=null;return{setTest:function(n){e||(n?k(t.STENCIL_TEST):U(t.STENCIL_TEST))},setMask:function(i){n===i||e||(t.stencilMask(i),n=i)},setFunc:function(e,n,o){i===e&&s===n&&r===o||(t.stencilFunc(e,n,o),i=e,s=n,r=o)},setOp:function(e,n,i){o===e&&a===n&&l===i||(t.stencilOp(e,n,i),o=e,a=n,l=i)},setLocked:function(t){e=t},setClear:function(e){c!==e&&(t.clearStencil(e),c=e)},reset:function(){e=!1,n=null,i=null,s=null,r=null,o=null,a=null,l=null,c=null}}};let a={},l=null,c={},h=null,u=!1,d=null,p=null,m=null,f=null,g=null,v=null,y=null,x=!1,b=null,T=null,A=null,M=null,E=null;const S=t.getParameter(t.MAX_COMBINED_TEXTURE_IMAGE_UNITS);let C=!1,N=0;const L=t.getParameter(t.VERSION);-1!==L.indexOf(\\\\\\\"WebGL\\\\\\\")?(N=parseFloat(/^WebGL (\\\\d)/.exec(L)[1]),C=N>=1):-1!==L.indexOf(\\\\\\\"OpenGL ES\\\\\\\")&&(N=parseFloat(/^OpenGL ES (\\\\d)/.exec(L)[1]),C=N>=2);let O=null,P={};const 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0!==s&&(s.isWebGLRenderTarget&&(s=s.texture),!0===s.matrixAutoUpdate&&s.updateMatrix(),e.uvTransform.value.copy(s.matrix)),n.aoMap?r=n.aoMap:n.lightMap&&(r=n.lightMap),void 0!==r&&(r.isWebGLRenderTarget&&(r=r.texture),!0===r.matrixAutoUpdate&&r.updateMatrix(),e.uv2Transform.value.copy(r.matrix))}function n(e,n){e.roughness.value=n.roughness,e.metalness.value=n.metalness,n.roughnessMap&&(e.roughnessMap.value=n.roughnessMap),n.metalnessMap&&(e.metalnessMap.value=n.metalnessMap),n.emissiveMap&&(e.emissiveMap.value=n.emissiveMap),n.bumpMap&&(e.bumpMap.value=n.bumpMap,e.bumpScale.value=n.bumpScale,n.side===w.i&&(e.bumpScale.value*=-1)),n.normalMap&&(e.normalMap.value=n.normalMap,e.normalScale.value.copy(n.normalScale),n.side===w.i&&e.normalScale.value.negate()),n.displacementMap&&(e.displacementMap.value=n.displacementMap,e.displacementScale.value=n.displacementScale,e.displacementBias.value=n.displacementBias);t.get(n).envMap&&(e.envMapIntensity.value=n.envMapIntensity)}return{refreshFogUniforms:function(t,e){t.fogColor.value.copy(e.color),e.isFog?(t.fogNear.value=e.near,t.fogFar.value=e.far):e.isFogExp2&&(t.fogDensity.value=e.density)},refreshMaterialUniforms:function(t,i,s,r,o){i.isMeshBasicMaterial?e(t,i):i.isMeshLambertMaterial?(e(t,i),function(t,e){e.emissiveMap&&(t.emissiveMap.value=e.emissiveMap)}(t,i)):i.isMeshToonMaterial?(e(t,i),function(t,e){e.gradientMap&&(t.gradientMap.value=e.gradientMap);e.emissiveMap&&(t.emissiveMap.value=e.emissiveMap);e.bumpMap&&(t.bumpMap.value=e.bumpMap,t.bumpScale.value=e.bumpScale,e.side===w.i&&(t.bumpScale.value*=-1));e.normalMap&&(t.normalMap.value=e.normalMap,t.normalScale.value.copy(e.normalScale),e.side===w.i&&t.normalScale.value.negate());e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isMeshPhongMaterial?(e(t,i),function(t,e){t.specular.value.copy(e.specular),t.shininess.value=Math.max(e.shininess,1e-4),e.emissiveMap&&(t.emissiveMap.value=e.emissiveMap);e.bumpMap&&(t.bumpMap.value=e.bumpMap,t.bumpScale.value=e.bumpScale,e.side===w.i&&(t.bumpScale.value*=-1));e.normalMap&&(t.normalMap.value=e.normalMap,t.normalScale.value.copy(e.normalScale),e.side===w.i&&t.normalScale.value.negate());e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isMeshStandardMaterial?(e(t,i),i.isMeshPhysicalMaterial?function(t,e,i){n(t,e),t.ior.value=e.ior,e.sheen>0&&(t.sheenTint.value.copy(e.sheenTint).multiplyScalar(e.sheen),t.sheenRoughness.value=e.sheenRoughness);e.clearcoat>0&&(t.clearcoat.value=e.clearcoat,t.clearcoatRoughness.value=e.clearcoatRoughness,e.clearcoatMap&&(t.clearcoatMap.value=e.clearcoatMap),e.clearcoatRoughnessMap&&(t.clearcoatRoughnessMap.value=e.clearcoatRoughnessMap),e.clearcoatNormalMap&&(t.clearcoatNormalScale.value.copy(e.clearcoatNormalScale),t.clearcoatNormalMap.value=e.clearcoatNormalMap,e.side===w.i&&t.clearcoatNormalScale.value.negate()));e.transmission>0&&(t.transmission.value=e.transmission,t.transmissionSamplerMap.value=i.texture,t.transmissionSamplerSize.value.set(i.width,i.height),e.transmissionMap&&(t.transmissionMap.value=e.transmissionMap),t.thickness.value=e.thickness,e.thicknessMap&&(t.thicknessMap.value=e.thicknessMap),t.attenuationDistance.value=e.attenuationDistance,t.attenuationTint.value.copy(e.attenuationTint));t.specularIntensity.value=e.specularIntensity,t.specularTint.value.copy(e.specularTint),e.specularIntensityMap&&(t.specularIntensityMap.value=e.specularIntensityMap);e.specularTintMap&&(t.specularTintMap.value=e.specularTintMap)}(t,i,o):n(t,i)):i.isMeshMatcapMaterial?(e(t,i),function(t,e){e.matcap&&(t.matcap.value=e.matcap);e.bumpMap&&(t.bumpMap.value=e.bumpMap,t.bumpScale.value=e.bumpScale,e.side===w.i&&(t.bumpScale.value*=-1));e.normalMap&&(t.normalMap.value=e.normalMap,t.normalScale.value.copy(e.normalScale),e.side===w.i&&t.normalScale.value.negate());e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isMeshDepthMaterial?(e(t,i),function(t,e){e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isMeshDistanceMaterial?(e(t,i),function(t,e){e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias);t.referencePosition.value.copy(e.referencePosition),t.nearDistance.value=e.nearDistance,t.farDistance.value=e.farDistance}(t,i)):i.isMeshNormalMaterial?(e(t,i),function(t,e){e.bumpMap&&(t.bumpMap.value=e.bumpMap,t.bumpScale.value=e.bumpScale,e.side===w.i&&(t.bumpScale.value*=-1));e.normalMap&&(t.normalMap.value=e.normalMap,t.normalScale.value.copy(e.normalScale),e.side===w.i&&t.normalScale.value.negate());e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isLineBasicMaterial?(function(t,e){t.diffuse.value.copy(e.color),t.opacity.value=e.opacity}(t,i),i.isLineDashedMaterial&&function(t,e){t.dashSize.value=e.dashSize,t.totalSize.value=e.dashSize+e.gapSize,t.scale.value=e.scale}(t,i)):i.isPointsMaterial?function(t,e,n,i){t.diffuse.value.copy(e.color),t.opacity.value=e.opacity,t.size.value=e.size*n,t.scale.value=.5*i,e.map&&(t.map.value=e.map);e.alphaMap&&(t.alphaMap.value=e.alphaMap);e.alphaTest>0&&(t.alphaTest.value=e.alphaTest);let s;e.map?s=e.map:e.alphaMap&&(s=e.alphaMap);void 0!==s&&(!0===s.matrixAutoUpdate&&s.updateMatrix(),t.uvTransform.value.copy(s.matrix))}(t,i,s,r):i.isSpriteMaterial?function(t,e){t.diffuse.value.copy(e.color),t.opacity.value=e.opacity,t.rotation.value=e.rotation,e.map&&(t.map.value=e.map);e.alphaMap&&(t.alphaMap.value=e.alphaMap);e.alphaTest>0&&(t.alphaTest.value=e.alphaTest);let n;e.map?n=e.map:e.alphaMap&&(n=e.alphaMap);void 0!==n&&(!0===n.matrixAutoUpdate&&n.updateMatrix(),t.uvTransform.value.copy(n.matrix))}(t,i):i.isShadowMaterial?(t.color.value.copy(i.color),t.opacity.value=i.opacity):i.isShaderMaterial&&(i.uniformsNeedUpdate=!1)}}}function Un(t={}){const e=void 0!==t.canvas?t.canvas:function(){const t=Object(It.b)(\\\\\\\"canvas\\\\\\\");return t.style.display=\\\\\\\"block\\\\\\\",t}(),n=void 0!==t.context?t.context:null,i=void 0!==t.alpha&&t.alpha,s=void 0===t.depth||t.depth,r=void 0===t.stencil||t.stencil,o=void 0!==t.antialias&&t.antialias,a=void 0===t.premultipliedAlpha||t.premultipliedAlpha,l=void 0!==t.preserveDrawingBuffer&&t.preserveDrawingBuffer,c=void 0!==t.powerPreference?t.powerPreference:\\\\\\\"default\\\\\\\",h=void 0!==t.failIfMajorPerformanceCaveat&&t.failIfMajorPerformanceCaveat;let u=null,d=null;const m=[],f=[];this.domElement=e,this.debug={checkShaderErrors:!0},this.autoClear=!0,this.autoClearColor=!0,this.autoClearDepth=!0,this.autoClearStencil=!0,this.sortObjects=!0,this.clippingPlanes=[],this.localClippingEnabled=!1,this.gammaFactor=2,this.outputEncoding=w.U,this.physicallyCorrectLights=!1,this.toneMapping=w.vb,this.toneMappingExposure=1;const g=this;let v=!1,y=0,x=0,b=null,S=-1,C=null;const N=new _.a,L=new _.a;let O=null,P=e.width,R=e.height,I=1,F=null,D=null;const B=new _.a(0,0,P,R),z=new _.a(0,0,P,R);let k=!1;const U=[],G=new T.a;let V=!1,H=!1,Y=null;const J=new A.a,Z=new p.a,Q={background:null,fog:null,environment:null,overrideMaterial:null,isScene:!0};function tt(){return null===b?I:1}let et,nt,it,st,ot,at,lt,ct,ht,ut,dt,pt,_t,mt,ft,gt,vt,yt,xt,bt,wt,Tt,At,Mt=n;function Et(t,n){for(let i=0;i0&&function(t,e,n){if(null===Y){const t=!0===o&&!0===nt.isWebGL2;Y=new(t?Ht:K)(1024,1024,{generateMipmaps:!0,type:null!==Tt.convert(w.M)?w.M:w.Zc,minFilter:w.Y,magFilter:w.ob,wrapS:w.n,wrapT:w.n})}const i=g.getRenderTarget();g.setRenderTarget(Y),g.clear();const s=g.toneMapping;g.toneMapping=w.vb,Xt(t,e,n),g.toneMapping=s,at.updateMultisampleRenderTarget(Y),at.updateRenderTargetMipmap(Y),g.setRenderTarget(i)}(s,e,n),i&&it.viewport(N.copy(i)),s.length>0&&Xt(s,e,n),r.length>0&&Xt(r,e,n),a.length>0&&Xt(a,e,n)}function Xt(t,e,n){const i=!0===e.isScene?e.overrideMaterial:null;for(let s=0,r=t.length;s0?f[f.length-1]:null,m.pop(),u=m.length>0?m[m.length-1]:null},this.getActiveCubeFace=function(){return y},this.getActiveMipmapLevel=function(){return x},this.getRenderTarget=function(){return b},this.setRenderTarget=function(t,e=0,n=0){b=t,y=e,x=n,t&&void 0===ot.get(t).__webglFramebuffer&&at.setupRenderTarget(t);let i=null,s=!1,r=!1;if(t){const n=t.texture;(n.isDataTexture3D||n.isDataTexture2DArray)&&(r=!0);const o=ot.get(t).__webglFramebuffer;t.isWebGLCubeRenderTarget?(i=o[e],s=!0):i=t.isWebGLMultisampleRenderTarget?ot.get(t).__webglMultisampledFramebuffer:o,N.copy(t.viewport),L.copy(t.scissor),O=t.scissorTest}else N.copy(B).multiplyScalar(I).floor(),L.copy(z).multiplyScalar(I).floor(),O=k;if(it.bindFramebuffer(Mt.FRAMEBUFFER,i)&&nt.drawBuffers){let e=!1;if(t)if(t.isWebGLMultipleRenderTargets){const n=t.texture;if(U.length!==n.length||U[0]!==Mt.COLOR_ATTACHMENT0){for(let t=0,e=n.length;t=0&&e<=t.width-i&&n>=0&&n<=t.height-s&&Mt.readPixels(e,n,i,s,Tt.convert(a),Tt.convert(l),r):console.error(\\\\\\\"THREE.WebGLRenderer.readRenderTargetPixels: readPixels from renderTarget failed. Framebuffer not complete.\\\\\\\")}finally{const t=null!==b?ot.get(b).__webglFramebuffer:null;it.bindFramebuffer(Mt.FRAMEBUFFER,t)}}},this.copyFramebufferToTexture=function(t,e,n=0){const i=Math.pow(2,-n),s=Math.floor(e.image.width*i),r=Math.floor(e.image.height*i);let o=Tt.convert(e.format);nt.isWebGL2&&(o===Mt.RGB&&(o=Mt.RGB8),o===Mt.RGBA&&(o=Mt.RGBA8)),at.setTexture2D(e,0),Mt.copyTexImage2D(Mt.TEXTURE_2D,n,o,t.x,t.y,s,r,0),it.unbindTexture()},this.copyTextureToTexture=function(t,e,n,i=0){const s=e.image.width,r=e.image.height,o=Tt.convert(n.format),a=Tt.convert(n.type);at.setTexture2D(n,0),Mt.pixelStorei(Mt.UNPACK_FLIP_Y_WEBGL,n.flipY),Mt.pixelStorei(Mt.UNPACK_PREMULTIPLY_ALPHA_WEBGL,n.premultiplyAlpha),Mt.pixelStorei(Mt.UNPACK_ALIGNMENT,n.unpackAlignment),e.isDataTexture?Mt.texSubImage2D(Mt.TEXTURE_2D,i,t.x,t.y,s,r,o,a,e.image.data):e.isCompressedTexture?Mt.compressedTexSubImage2D(Mt.TEXTURE_2D,i,t.x,t.y,e.mipmaps[0].width,e.mipmaps[0].height,o,e.mipmaps[0].data):Mt.texSubImage2D(Mt.TEXTURE_2D,i,t.x,t.y,o,a,e.image),0===i&&n.generateMipmaps&&Mt.generateMipmap(Mt.TEXTURE_2D),it.unbindTexture()},this.copyTextureToTexture3D=function(t,e,n,i,s=0){if(g.isWebGL1Renderer)return void console.warn(\\\\\\\"THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2.\\\\\\\");const r=t.max.x-t.min.x+1,o=t.max.y-t.min.y+1,a=t.max.z-t.min.z+1,l=Tt.convert(i.format),c=Tt.convert(i.type);let h;if(i.isDataTexture3D)at.setTexture3D(i,0),h=Mt.TEXTURE_3D;else{if(!i.isDataTexture2DArray)return void console.warn(\\\\\\\"THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray.\\\\\\\");at.setTexture2DArray(i,0),h=Mt.TEXTURE_2D_ARRAY}Mt.pixelStorei(Mt.UNPACK_FLIP_Y_WEBGL,i.flipY),Mt.pixelStorei(Mt.UNPACK_PREMULTIPLY_ALPHA_WEBGL,i.premultiplyAlpha),Mt.pixelStorei(Mt.UNPACK_ALIGNMENT,i.unpackAlignment);const u=Mt.getParameter(Mt.UNPACK_ROW_LENGTH),d=Mt.getParameter(Mt.UNPACK_IMAGE_HEIGHT),p=Mt.getParameter(Mt.UNPACK_SKIP_PIXELS),_=Mt.getParameter(Mt.UNPACK_SKIP_ROWS),m=Mt.getParameter(Mt.UNPACK_SKIP_IMAGES),f=n.isCompressedTexture?n.mipmaps[0]:n.image;Mt.pixelStorei(Mt.UNPACK_ROW_LENGTH,f.width),Mt.pixelStorei(Mt.UNPACK_IMAGE_HEIGHT,f.height),Mt.pixelStorei(Mt.UNPACK_SKIP_PIXELS,t.min.x),Mt.pixelStorei(Mt.UNPACK_SKIP_ROWS,t.min.y),Mt.pixelStorei(Mt.UNPACK_SKIP_IMAGES,t.min.z),n.isDataTexture||n.isDataTexture3D?Mt.texSubImage3D(h,s,e.x,e.y,e.z,r,o,a,l,c,f.data):n.isCompressedTexture?(console.warn(\\\\\\\"THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture.\\\\\\\"),Mt.compressedTexSubImage3D(h,s,e.x,e.y,e.z,r,o,a,l,f.data)):Mt.texSubImage3D(h,s,e.x,e.y,e.z,r,o,a,l,c,f),Mt.pixelStorei(Mt.UNPACK_ROW_LENGTH,u),Mt.pixelStorei(Mt.UNPACK_IMAGE_HEIGHT,d),Mt.pixelStorei(Mt.UNPACK_SKIP_PIXELS,p),Mt.pixelStorei(Mt.UNPACK_SKIP_ROWS,_),Mt.pixelStorei(Mt.UNPACK_SKIP_IMAGES,m),0===s&&i.generateMipmaps&&Mt.generateMipmap(h),it.unbindTexture()},this.initTexture=function(t){at.setTexture2D(t,0),it.unbindTexture()},this.resetState=function(){y=0,x=0,b=null,it.reset(),At.reset()},\\\\\\\"undefined\\\\\\\"!=typeof __THREE_DEVTOOLS__&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent(\\\\\\\"observe\\\\\\\",{detail:this}))}const Gn={};var Vn,Hn,jn;!function(t){t.WEBGL=\\\\\\\"webgl\\\\\\\",t.WEBGL2=\\\\\\\"webgl2\\\\\\\",t.EXPERIMENTAL_WEBGL=\\\\\\\"experimental-webgl\\\\\\\",t.EXPERIMENTAL_WEBGL2=\\\\\\\"experimental-webgl2\\\\\\\"}(Vn||(Vn={}));class Wn{constructor(){this._next_renderer_id=0,this._renderers={},this._printDebug=!1,this._require_webgl2=!1,this._resolves=[]}setPrintDebug(t=!0){this._printDebug=t}printDebug(){return this._printDebug}printDebugMessage(t){this._printDebug&&console.warn(\\\\\\\"[Poly debug]\\\\\\\",t)}setRequireWebGL2(){this._require_webgl2||(this._require_webgl2=!0)}webgl2Available(){return void 0===this._webgl2_available&&(this._webgl2_available=this._set_webgl2_available()),this._webgl2_available}_set_webgl2_available(){const t=document.createElement(\\\\\\\"canvas\\\\\\\");return null!=(window.WebGL2RenderingContext&&t.getContext(Vn.WEBGL2))}createWebGLRenderer(t){const e=new Un(t);return this.printDebugMessage([\\\\\\\"create renderer:\\\\\\\",t]),e}createRenderingContext(t){let e=null;return this._require_webgl2&&(e=this._getRenderingContextWebgl(t,!0),e||console.warn(\\\\\\\"failed to create webgl2 context\\\\\\\")),e||(e=this._getRenderingContextWebgl(t,!1)),e}_getRenderingContextWebgl(t,e){let n;n=this.webgl2Available()||e?Vn.WEBGL2:Vn.WEBGL;let i=t.getContext(n,Gn);return i?this.printDebugMessage(`create gl context: ${n}.`):(n=e?Vn.EXPERIMENTAL_WEBGL2:Vn.EXPERIMENTAL_WEBGL,this.printDebugMessage(`create gl context: ${n}.`),i=t.getContext(n,Gn)),i}registerRenderer(t){if(t._polygon_id)throw new Error(\\\\\\\"render already registered\\\\\\\");t._polygon_id=this._next_renderer_id+=1,this._renderers[t._polygon_id]=t,1==Object.keys(this._renderers).length&&this.flush_callbacks_with_renderer(t)}deregisterRenderer(t){delete this._renderers[t._polygon_id],t.dispose()}firstRenderer(){const t=Object.keys(this._renderers)[0];return t?this._renderers[t]:null}renderers(){return Object.values(this._renderers)}flush_callbacks_with_renderer(t){let e;for(;e=this._resolves.pop();)e(t)}async waitForRenderer(){const t=this.firstRenderer();return t||new Promise(((t,e)=>{this._resolves.push(t)}))}renderTarget(t,e,n){return this.webgl2Available()?new Ht(t,e,n):new K(t,e,n)}}class qn{constructor(){this._root=\\\\\\\"/three/js/libs\\\\\\\",this._BASISPath=\\\\\\\"/basis\\\\\\\",this._DRACOPath=\\\\\\\"/draco\\\\\\\",this._DRACOGLTFPath=\\\\\\\"/draco/gltf\\\\\\\"}root(){return this._root}setRoot(t){this._root=t}BASISPath(){return this._BASISPath}DRACOPath(){return this._DRACOPath}DRACOGLTFPath(){return this._DRACOGLTFPath}}class Xn{constructor(t){this.poly=t,this._node_register=new Map,this._node_register_categories=new Map,this._node_register_options=new Map}static type(t){return this.filterType(t.type())}static filterType(t){return t.toLowerCase()}register(t,e,n){const i=t.context(),s=Xn.type(t);let r=this._node_register.get(i);r||(r=new Map,this._node_register.set(i,r));if(r.get(s))console.error(`node ${i}/${s} already registered`);else{if(r.set(s,t),e){let t=this._node_register_categories.get(i);t||(t=new Map,this._node_register_categories.set(i,t)),t.set(s,e)}if(n){let t=this._node_register_options.get(i);t||(t=new Map,this._node_register_options.set(i,t)),t.set(s,n)}this.poly.pluginsRegister.registerNode(t)}}deregister(t,e){var n,i,s;e=Xn.filterType(e),null===(n=this._node_register.get(t))||void 0===n||n.delete(e),null===(i=this._node_register_categories.get(t))||void 0===i||i.delete(e),null===(s=this._node_register_options.get(t))||void 0===s||s.delete(e)}isRegistered(t,e){const n=this._node_register.get(t);return!!n&&(e=Xn.filterType(e),null!=n.get(e))}nodeOptions(t,e){var n;return e=Xn.filterType(e),null===(n=this._node_register_options.get(t))||void 0===n?void 0:n.get(e)}registeredNodesForContextAndParentType(t,e){var n;if(this._node_register.get(t)){const i=[];return null===(n=this._node_register.get(t))||void 0===n||n.forEach(((t,e)=>{i.push(t)})),i.filter((n=>{var i;const s=Xn.type(n),r=null===(i=this._node_register_options.get(t))||void 0===i?void 0:i.get(s);if(r){const n=r.only,i=r.except,s=`${t}/${e}`;return n?n.includes(s):!i||!i.includes(s)}return!0}))}return[]}registeredNodes(t,e){const n={},i=this.registeredNodesForContextAndParentType(t,e);for(let t of i){n[Xn.type(t)]=t}return n}registeredCategory(t,e){var n;return e=Xn.filterType(e),null===(n=this._node_register_categories.get(t))||void 0===n?void 0:n.get(e)}map(){return this._node_register}}class Yn{constructor(t){this.poly=t,this._operation_register=new Map}static type(t){return this.filterType(t.type())}static filterType(t){return t.toLowerCase()}register(t){const e=t.context();let n=this._operation_register.get(e);n||(n=new Map,this._operation_register.set(e,n));const i=Yn.type(t);if(n.get(i)){const t=`operation ${e}/${i} already registered`;console.error(t)}else n.set(i,t),this.poly.pluginsRegister.registerOperation(t)}registeredOperationsForContextAndParentType(t,e){var n;if(this._operation_register.get(t)){const e=[];return null===(n=this._operation_register.get(t))||void 0===n||n.forEach(((t,n)=>{e.push(t)})),e}return[]}registeredOperation(t,e){const n=this._operation_register.get(t);if(n)return e=Yn.filterType(e),n.get(e)}}class $n extends class{constructor(){this._methods_names=[],this._methods_by_name=new Map}register(t,e){this._methods_names.push(e),this._methods_by_name.set(e,t)}getMethod(t){return this._methods_by_name.get(t)}availableMethods(){return this._methods_names}}{getMethod(t){return super.getMethod(t)}}!function(t){t.BasisTextureLoader=\\\\\\\"BasisTextureLoader\\\\\\\",t.DRACOLoader=\\\\\\\"DRACOLoader\\\\\\\",t.EXRLoader=\\\\\\\"EXRLoader\\\\\\\",t.FBXLoader=\\\\\\\"FBXLoader\\\\\\\",t.GLTFLoader=\\\\\\\"GLTFLoader\\\\\\\",t.OBJLoader=\\\\\\\"OBJLoader\\\\\\\",t.PDBLoader=\\\\\\\"PDBLoader\\\\\\\",t.PLYLoader=\\\\\\\"PLYLoader\\\\\\\",t.RGBELoader=\\\\\\\"RGBELoader\\\\\\\",t.SVGLoader=\\\\\\\"SVGLoader\\\\\\\",t.STLLoader=\\\\\\\"STLLoader\\\\\\\",t.TTFLoader=\\\\\\\"TTFLoader\\\\\\\"}(Hn||(Hn={}));class Jn extends class{constructor(){this._module_by_name=new Map}register(t,e){this._module_by_name.set(t,e)}moduleNames(){const t=[];return this._module_by_name.forEach(((e,n)=>{t.push(n)})),t}module(t){return this._module_by_name.get(t)}}{}!function(t){t.GL_MESH_BASIC=\\\\\\\"GL_MESH_BASIC\\\\\\\",t.GL_MESH_LAMBERT=\\\\\\\"GL_MESH_LAMBERT\\\\\\\",t.GL_MESH_STANDARD=\\\\\\\"GL_MESH_STANDARD\\\\\\\",t.GL_MESH_PHONG=\\\\\\\"GL_MESH_PHONG\\\\\\\",t.GL_MESH_PHYSICAL=\\\\\\\"GL_MESH_PHYSICAL\\\\\\\",t.GL_PARTICLES=\\\\\\\"GL_PARTICLES\\\\\\\",t.GL_POINTS=\\\\\\\"GL_POINTS\\\\\\\",t.GL_LINE=\\\\\\\"GL_LINE\\\\\\\",t.GL_TEXTURE=\\\\\\\"GL_TEXTURE\\\\\\\",t.GL_VOLUME=\\\\\\\"GL_VOLUME\\\\\\\"}(jn||(jn={}));class Zn extends class{constructor(){this._controller_assembler_by_name=new Map}register(t,e,n){this._controller_assembler_by_name.set(t,{controller:e,assembler:n})}unregister(t){this._controller_assembler_by_name.delete(t)}}{assembler(t,e){const n=this._controller_assembler_by_name.get(e);if(n){return new(0,n.controller)(t,n.assembler)}return n}unregister(t){const e=this._controller_assembler_by_name.get(t);return super.unregister(t),e}}class Kn{constructor(t){this.poly=t,this._plugins_by_name=new Map,this._plugin_name_by_node_context_by_type=new Map,this._plugin_name_by_operation_context_by_type=new Map}register(t){this._current_plugin=t,this._plugins_by_name.set(t.name(),t),t.init(this.poly),this._current_plugin=void 0}pluginByName(t){return this._plugins_by_name.get(t)}registerNode(t){if(!this._current_plugin)return;const e=t.context(),n=t.type();let i=this._plugin_name_by_node_context_by_type.get(e);i||(i=new Map,this._plugin_name_by_node_context_by_type.set(e,i)),i.set(n,this._current_plugin.name())}registerOperation(t){if(!this._current_plugin)return;const e=t.context(),n=t.type();let i=this._plugin_name_by_operation_context_by_type.get(e);i||(i=new Map,this._plugin_name_by_operation_context_by_type.set(e,i)),i.set(n,this._current_plugin.name())}toJson(){const t={plugins:{},nodes:{},operations:{}};return this._plugins_by_name.forEach(((e,n)=>{t.plugins[n]=e.toJSON()})),this._plugin_name_by_node_context_by_type.forEach(((e,n)=>{t.nodes[n]={},e.forEach(((e,i)=>{t.nodes[n][i]=e}))})),this._plugin_name_by_operation_context_by_type.forEach(((e,n)=>{t.operations[n]={},e.forEach(((e,i)=>{t.operations[n][i]=e}))})),t}}class Qn{constructor(t){this._camera_types=[]}register(t){const e=t.type();this._camera_types.includes(e)||this._camera_types.push(e)}registeredTypes(){return this._camera_types}}var ti=n(86);class ei{constructor(){this._blobUrlsByStoredUrl=new Map,this._blobsByStoredUrl=new Map,this._blobDataByNodeId=new Map,this._globalBlobsByStoredUrl=new Map}registerBlobUrl(t){li.playerMode()&&this._blobUrlsByStoredUrl.set(t.storedUrl,t.blobUrl)}deregisterUrl(t){this._blobUrlsByStoredUrl.delete(t)}blobUrl(t){return this._blobUrlsByStoredUrl.get(t)}clear(){this._blobUrlsByStoredUrl.clear(),this._blobsByStoredUrl.clear(),this._blobDataByNodeId.clear()}_clearBlobForNode(t){const e=this._blobDataByNodeId.get(t.graphNodeId());e&&(this._blobsByStoredUrl.delete(e.storedUrl),this._blobUrlsByStoredUrl.delete(e.storedUrl)),this._blobDataByNodeId.delete(t.graphNodeId())}_assignBlobToNode(t,e){this._clearBlobForNode(t),this._blobDataByNodeId.set(t.graphNodeId(),{storedUrl:e.storedUrl,fullUrl:e.fullUrl})}async fetchBlobGlobal(t){if(li.playerMode())return{};try{if(this._blobUrlsByStoredUrl.get(t.storedUrl))return{};const e=li.assetUrls.remapedUrl(t.fullUrl),n=await fetch(e||t.fullUrl);if(n.ok){const e=await n.blob();return this._blobsByStoredUrl.set(t.storedUrl,e),this._blobUrlsByStoredUrl.set(t.storedUrl,this.createBlobUrl(e)),this._globalBlobsByStoredUrl.set(t.storedUrl,e),{blobData:{storedUrl:t.storedUrl,fullUrl:t.fullUrl}}}return{error:`failed to fetch ${t.fullUrl}`}}catch(e){return{error:`failed to fetch ${t.fullUrl}`}}}async fetchBlobForNode(t){if(li.playerMode())return{};try{if(this._blobUrlsByStoredUrl.get(t.storedUrl))return{};const e=li.assetUrls.remapedUrl(t.fullUrl),n=await fetch(e||t.fullUrl);if(n.ok){const e=await n.blob();return this._blobsByStoredUrl.set(t.storedUrl,e),this._blobUrlsByStoredUrl.set(t.storedUrl,this.createBlobUrl(e)),this._scene=t.node.scene(),this._assignBlobToNode(t.node,{storedUrl:t.storedUrl,fullUrl:t.fullUrl}),{blobData:{storedUrl:t.storedUrl,fullUrl:t.fullUrl}}}return{error:`failed to fetch ${t.fullUrl}`}}catch(e){return{error:`failed to fetch ${t.fullUrl}`}}}forEachBlob(t){this._blobDataByNodeId.forEach(((e,n)=>{if(this._scene){if(this._scene.graph.nodeFromId(n)){const{storedUrl:n}=e,i=this._blobsByStoredUrl.get(n);i&&t(i,n)}}}));let e=[];const n=new Map;this._globalBlobsByStoredUrl.forEach(((t,i)=>{e.push(i),n.set(i,t)})),e=e.sort(),e.forEach((e=>{const n=this._globalBlobsByStoredUrl.get(e);n&&t(n,e)}))}createBlobUrl(t){return Object(ti.a)(t)}}class ni{setMap(t){this._map=t}remapedUrl(t){if(!this._map)return;const e=t.split(\\\\\\\"?\\\\\\\"),n=e[0],i=e[1],s=this._map[n];return s?i?`${s}?${i}`:s:void 0}}var ii=n(91),si=n(83);class ri{markAsLoaded(t,e){this._sceneJsonImporterContructor=e,t()}load(t){if(!this._sceneJsonImporterContructor)return;const e=[];t.forEach(((t,n)=>{e.push(n)}));for(let n of e){const e=t.get(n);e&&(this._loadElement(n,e,this._sceneJsonImporterContructor),t.delete(n))}}async _loadElement(t,e,n){const{sceneData:i,assetsManifest:s,unzippedData:r}=e,o=Object.keys(s);for(let t of o){const e=r[`assets/${s[t]}`];if(!e)return void console.error(t,e);const n=new Blob([e]),i={storedUrl:t,blobUrl:li.blobs.createBlobUrl(n)};li.blobs.registerBlobUrl(i)}li.setPlayerMode(!0),li.libs.setRoot(null);const a=`${Math.random()}`.replace(\\\\\\\".\\\\\\\",\\\\\\\"_\\\\\\\"),l={Poly:`___POLY_polyConfig_configurePolygonjs_${a}`,scriptElementId:`___POLY_polyConfig_scriptElement_${a}`,loadSceneArgs:`___POLY_polyConfig_loadSceneArgs_${a}`};window[l.Poly]=li;const c={method:this._loadScene.bind(this),element:t,sceneData:i,sceneJsonImporterContructor:n};window[l.loadSceneArgs]=c;this._loadPolyConfig(l,r)||this._loadScene(t,i,n)}_loadPolyConfig(t,e){const n=e[si.a.POLY_CONFIG];if(!n)return!1;const i=this._createJsBlob(n,\\\\\\\"polyConfig\\\\\\\");let s=document.getElementById(t.scriptElementId);const r=[];return r.push(`import {configurePolygonjs, configureScene} from '${i}';`),r.push(`configurePolygonjs(window.${t.Poly});`),r.push(`window.${t.loadSceneArgs}.method(window.${t.loadSceneArgs}.element, window.${t.loadSceneArgs}.sceneData, window.${t.loadSceneArgs}.sceneJsonImporterContructor, configureScene);`),r.push(`delete window.${t.loadSceneArgs};`),s||(s=document.createElement(\\\\\\\"script\\\\\\\"),s.setAttribute(\\\\\\\"type\\\\\\\",\\\\\\\"module\\\\\\\"),s.text=r.join(\\\\\\\"\\\\n\\\\\\\"),document.body.append(s)),!0}async _loadScene(t,e,n,i){this._fadeOutPoster(t);const s=new n(e),r=await s.scene();i&&i(r);const o=r.mainCameraNode();if(!o)return void console.warn(\\\\\\\"no master camera found\\\\\\\");const a=o.createViewer(t);r.play(),t.scene=r,t.viewer=a}_fadeOutPoster(t){const e=t.firstElementChild;e&&(e.style.pointerEvents=\\\\\\\"none\\\\\\\",ii.a.fadeOut(e).then((()=>{var t;null===(t=e.parentElement)||void 0===t||t.removeChild(e)})))}_createJsBlob(t,e){const n=new Blob([t]),i=new File([n],`${e}.js`,{type:\\\\\\\"application/javascript\\\\\\\"});return Object(ti.a)(i)}}class oi{setPerformanceManager(t){this._performanceManager=t}performanceManager(){return this._performanceManager||window.performance}}class ai{constructor(){this.renderersController=new Wn,this.nodesRegister=new Xn(this),this.operationsRegister=new Yn(this),this.expressionsRegister=new $n,this.modulesRegister=new Jn,this.assemblersRegister=new Zn,this.pluginsRegister=new Kn(this),this.camerasRegister=new Qn(this),this.blobs=new ei,this.assetUrls=new ni,this.selfContainedScenesLoader=new ri,this.performance=new oi,this.scenesByUuid={},this._player_mode=!0,this._logger=null}static _instance_(){if(window.__POLYGONJS_POLY_INSTANCE__)return window.__POLYGONJS_POLY_INSTANCE__;{const t=new ai;return window.__POLYGONJS_POLY_INSTANCE__=t,window.__POLYGONJS_POLY_INSTANCE__}}setPlayerMode(t){this._player_mode=t}playerMode(){return this._player_mode}registerNode(t,e,n){this.nodesRegister.register(t,e,n)}registerOperation(t){this.operationsRegister.register(t)}registerCamera(t){this.camerasRegister.register(t)}registerPlugin(t){this.pluginsRegister.register(t)}registeredNodes(t,e){return this.nodesRegister.registeredNodes(t,e)}registeredOperation(t,e){return this.operationsRegister.registeredOperation(t,e)}registeredCameraTypes(){return this.camerasRegister.registeredTypes()}inWorkerThread(){return!1}desktopController(){}get libs(){return this._libs_controller=this._libs_controller||new qn}setEnv(t){this._env=t}env(){return this._env}setLogger(t){this._logger=t}log(t,...e){var n;null===(n=this._logger)||void 0===n||n.log(t,...e)}warn(t,...e){var n;null===(n=this._logger)||void 0===n||n.warn(t,...e)}error(t,...e){var n;null===(n=this._logger)||void 0===n||n.error(t,...e)}}const li=ai._instance_();class ci{constructor(){this._started=!1,this._start_time=0,this._previous_timestamp=0,this._nodes_cook_data={},this._durations_by_name={},this._durations_count_by_name={}}profile(t,e){const n=li.performance.performanceManager(),i=n.now();e();const s=n.now()-i;console.log(`${t}: ${s}`)}start(){if(!this._started){this.reset(),this._started=!0;const t=li.performance.performanceManager();this._start_time=t.now(),this._nodes_cook_data={},this._previous_timestamp=this._start_time}}stop(){this.reset()}reset(){this._started=!1,this._start_time=null,this._durations_by_name={},this._durations_count_by_name={},this._nodes_cook_data={}}started(){return this._started}record_node_cook_data(t,e){const n=t.graphNodeId();null==this._nodes_cook_data[n]&&(this._nodes_cook_data[n]=new c(t)),this._nodes_cook_data[n].update_cook_data(e)}record(t){this.started()||this.start();const e=performance.now();return null==this._durations_by_name[t]&&(this._durations_by_name[t]=0),this._durations_by_name[t]+=e-this._previous_timestamp,null==this._durations_count_by_name[t]&&(this._durations_count_by_name[t]=0),this._durations_count_by_name[t]+=1,this._previous_timestamp=e}print(){this.print_node_cook_data(),this.print_recordings()}print_node_cook_data(){let t=Object.values(this._nodes_cook_data);t=f.sortBy(t,(t=>t.total_cook_time()));const e=t.map((t=>t.print_object()));console.log(\\\\\\\"--------------- NODES COOK TIME -----------\\\\\\\");const n=[],i=f.sortBy(e,(t=>-t.total_cook_time));for(let t of i)n.push(t);return console.table(n),e}print_recordings(){const t=b.clone(this._durations_by_name),e=b.clone(this._durations_count_by_name),n=[],i={};for(let e of Object.keys(t)){const s=t[e];n.push(s),null==i[s]&&(i[s]=[]),i[s].push(e)}n.sort(((t,e)=>t-e));const s=f.uniq(n);console.log(\\\\\\\"--------------- PERF RECORDINGS -----------\\\\\\\");const r=[];for(let t of s){const n=i[t];for(let i of n){const n=e[i],s={duration:t,name:i,count:n,duration_per_iteration:t/n};r.push(s)}}return console.table(r),r}}class hi{constructor(t){this.scene=t}setListener(t){this._events_listener?console.warn(\\\\\\\"scene already has a listener\\\\\\\"):(this._events_listener=t,this.run_on_add_listener_callbacks())}onAddListener(t){this._events_listener?t():(this._on_add_listener_callbacks=this._on_add_listener_callbacks||[],this._on_add_listener_callbacks.push(t))}run_on_add_listener_callbacks(){if(this._on_add_listener_callbacks){let t;for(;t=this._on_add_listener_callbacks.pop();)t();this._on_add_listener_callbacks=void 0}}get eventsListener(){return this._events_listener}dispatch(t,e,n){var i;null===(i=this._events_listener)||void 0===i||i.process_events(t,e,n)}emitAllowed(){return null!=this._events_listener&&this.scene.loadingController.loaded()&&this.scene.loadingController.autoUpdating()}}class ui{constructor(){this._params_by_id=new Map}registerParam(t){this._params_by_id.set(t.graphNodeId(),t)}deregisterParam(t){this._params_by_id.delete(t.graphNodeId())}regenerateReferringExpressions(t){t.nameController.graph_node.setSuccessorsDirty(t)}}class di{constructor(t){this.scene=t,this._lifecycle_on_create_allowed=!0}onCreateHookAllowed(){return this.scene.loadingController.loaded()&&this._lifecycle_on_create_allowed}onCreatePrevent(t){this._lifecycle_on_create_allowed=!1,t(),this._lifecycle_on_create_allowed=!0}}class pi{constructor(t){this.dispatcher=t,this._nodes_by_graph_node_id=new Map,this._require_canvas_event_listeners=!1,this._activeEventDatas=[]}registerNode(t){this._nodes_by_graph_node_id.set(t.graphNodeId(),t),this.updateViewerEventListeners()}unregisterNode(t){this._nodes_by_graph_node_id.delete(t.graphNodeId()),this.updateViewerEventListeners()}processEvent(t){0!=this._activeEventDatas.length&&this._nodes_by_graph_node_id.forEach((e=>e.processEvent(t)))}updateViewerEventListeners(){this._update_active_event_types(),this._require_canvas_event_listeners&&this.dispatcher.scene.viewersRegister.traverseViewers((t=>{t.eventsController.updateEvents(this)}))}activeEventDatas(){return this._activeEventDatas}_update_active_event_types(){const t=new Map;this._nodes_by_graph_node_id.forEach((e=>{if(e.parent()){const n=e.activeEventDatas();for(let e of n)t.set(e,!0)}})),this._activeEventDatas=[],t.forEach(((t,e)=>{this._activeEventDatas.push(e)}))}}var _i;!function(t){t.LOADED=\\\\\\\"sceneLoaded\\\\\\\",t.PLAY=\\\\\\\"play\\\\\\\",t.PAUSE=\\\\\\\"pause\\\\\\\",t.TICK=\\\\\\\"tick\\\\\\\"}(_i||(_i={}));const mi=[_i.LOADED,_i.PLAY,_i.PAUSE,_i.TICK];class fi extends pi{type(){return\\\\\\\"scene\\\\\\\"}acceptedEventTypes(){return mi.map((t=>`${t}`))}}class gi{constructor(t){this.scene=t,this._loading_state=!1,this._auto_updating=!0,this._first_object_loaded=!1}get LOADED_EVENT_CONTEXT(){return this._LOADED_EVENT_CONTEXT=this._LOADED_EVENT_CONTEXT||{event:new Event(_i.LOADED)}}markAsLoading(){this._set_loading_state(!0)}async markAsLoaded(){this.scene.missingExpressionReferencesController.resolveMissingReferences(),await this._set_loading_state(!1),this.trigger_loaded_event()}trigger_loaded_event(){globalThis.Event&&this.scene.eventsDispatcher.sceneEventsController.processEvent(this.LOADED_EVENT_CONTEXT)}async _set_loading_state(t){this._loading_state=t,await this.set_auto_update(!this._loading_state)}isLoading(){return this._loading_state}loaded(){return!this._loading_state}autoUpdating(){return this._auto_updating}async set_auto_update(t){if(this._auto_updating!==t&&(this._auto_updating=t,this._auto_updating)){const t=this.scene.root();t&&await t.processQueue()}}on_first_object_loaded(){var t;if(!this._first_object_loaded){this._first_object_loaded=!0;const e=document.getElementById(\\\\\\\"scene_loading_container\\\\\\\");e&&(null===(t=e.parentElement)||void 0===t||t.removeChild(e))}}}const vi={EMPTY:\\\\\\\"\\\\\\\",UV:\\\\\\\"/COP/imageUv\\\\\\\",ENV_MAP:\\\\\\\"/COP/envMap\\\\\\\",CUBE_MAP:\\\\\\\"/COP/cubeCamera\\\\\\\"};class yi{constructor(t=\\\\\\\"\\\\\\\"){this._path=t,this._node=null}set_path(t){this._path=t}set_node(t){this._node=t}path(){return this._path}node(){return this._node}resolve(t){this._node=bi.findNode(t,this._path)}clone(){const t=new yi(this._path);return t.set_node(this._node),t}nodeWithContext(t,e){const n=this.node();if(!n)return void(null==e||e.set(`no node found at ${this.path()}`));const i=n.context();return i==t?n:void(null==e||e.set(`expected ${t} node, but got a ${i}`))}}class xi{constructor(t=\\\\\\\"\\\\\\\"){this._path=t,this._param=null}set_path(t){this._path=t}set_param(t){this._param=t}path(){return this._path}param(){return this._param}resolve(t){this._param=bi.findParam(t,this._path)}clone(){const t=new xi(this._path);return t.set_param(this._param),t}paramWithType(t,e){const n=this.param();if(n)return n.type()==t?n:void(null==e||e.set(`expected ${t} node, but got a ${n.type()}`));null==e||e.set(`no param found at ${this.path()}`)}}class bi{static split_parent_child(t){const e=t.split(bi.SEPARATOR).filter((t=>t.length>0)),n=e.pop();return{parent:e.join(bi.SEPARATOR),child:n}}static findNode(t,e,n){if(!t)return null;const i=e.split(bi.SEPARATOR).filter((t=>t.length>0)),s=i[0];let r=null;if(e[0]!==bi.SEPARATOR){switch(s){case bi.PARENT:null==n||n.add_path_element(s),r=t.parent();break;case bi.CURRENT:null==n||n.add_path_element(s),r=t;break;default:r=t.node(s),r&&(null==n||n.add_node(s,r))}if(null!=r&&i.length>1){const t=i.slice(1).join(bi.SEPARATOR);r=this.findNode(r,t,n)}return r}{const i=e.substr(1);r=this.findNode(t.root(),i,n)}return r}static findParam(t,e,n){if(!t)return null;const i=e.split(bi.SEPARATOR);if(1===i.length)return t.params.get(i[0]);{const e=i.slice(0,+(i.length-2)+1||void 0).join(bi.SEPARATOR),s=this.findNode(t,e,n);if(null!=s){const t=i[i.length-1],e=s.params.get(t);return n&&e&&n.add_node(t,e),e}return null}}static relativePath(t,e){const n=this.closestCommonParent(t,e);if(n){const i=this.distanceToParent(t,n);let s=\\\\\\\"\\\\\\\";if(i>0){let t=0;const e=[];for(;t++t.length>0)),o=e.path().split(bi.SEPARATOR).filter((t=>t.length>0)),a=[];let l=0;for(let t of o)r[l]||a.push(t),l++;return`${s}${a.join(bi.SEPARATOR)}`}return e.path()}static closestCommonParent(t,e){const n=this.parents(t).reverse().concat([t]),i=this.parents(e).reverse().concat([e]),s=Math.min(n.length,i.length);let r=null;for(let t=0;t{for(let n of e)this._is_reference_resolvable(n)&&t.push(n)}));for(let e of t)e.resolveMissingDependencies()}_is_reference_resolvable(t){const e=t.absolutePath();if(e){if(this.scene.node(e))return!0;{const t=bi.split_parent_child(e);if(t.child){const e=this.scene.node(t.parent);if(e){if(e.params.get(t.child))return!0}}}}}checkForMissingReferences(t){this._checkForMissingReferencesForNode(t);for(let e of t.params.all)this._checkForMissingReferencesForParam(e)}_checkForMissingReferencesForNode(t){const e=t.graphNodeId(),n=h.arrayFromValues(this.references);for(let i of n){let n=!1;const s=u.toArray(i);for(let e of s)e.matchesPath(t.path())&&(n=!0,e.resolveMissingDependencies());n&&this.references.delete(e)}}_checkForMissingReferencesForParam(t){const e=t.graphNodeId(),n=h.arrayFromValues(this.references);for(let i of n){let n=!1;const s=u.toArray(i);for(let e of s)e.matchesPath(t.path())&&(n=!0,e.resolveMissingDependencies());n&&this.references.delete(e)}}}class Ai{constructor(t){this.node=t,this._dirty_count=0,this._dirty=!0}dispose(){this._cached_successors=void 0,this._post_dirty_hooks=void 0,this._post_dirty_hook_names=void 0}isDirty(){return!0===this._dirty}dirtyTimestamp(){return this._dirty_timestamp}dirtyCount(){return this._dirty_count}addPostDirtyHook(t,e){this._post_dirty_hook_names=this._post_dirty_hook_names||[],this._post_dirty_hooks=this._post_dirty_hooks||[],this._post_dirty_hook_names.includes(t)?console.warn(`hook with name ${t} already exists`,this.node):(this._post_dirty_hook_names.push(t),this._post_dirty_hooks.push(e))}removePostDirtyHook(t){if(this._post_dirty_hook_names&&this._post_dirty_hooks){const e=this._post_dirty_hook_names.indexOf(t);e>=0&&(this._post_dirty_hook_names.splice(e,1),this._post_dirty_hooks.splice(e,1))}}hasHook(t){return!!this._post_dirty_hook_names&&this._post_dirty_hook_names.includes(t)}removeDirtyState(){this._dirty=!1}setForbiddenTriggerNodes(t){this._forbidden_trigger_nodes=t.map((t=>t.graphNodeId()))}setDirty(t,e){if(null==e&&(e=!0),t&&this._forbidden_trigger_nodes&&this._forbidden_trigger_nodes.includes(t.graphNodeId()))return;null==t&&(t=this.node),this._dirty=!0;const n=li.performance.performanceManager();this._dirty_timestamp=n.now(),this._dirty_count+=1,this.runPostDirtyHooks(t),!0===e&&this.setSuccessorsDirty(t)}runPostDirtyHooks(t){if(this._post_dirty_hooks){const e=this.node.scene().cooker;if(e.blocked)e.enqueue(this.node,t);else for(let e of this._post_dirty_hooks)e(t)}}setSuccessorsDirty(t){this._cached_successors=this._cached_successors||this.node.graphAllSuccessors();for(let e of this._cached_successors)e.dirtyController.setDirty(t,false)}clearSuccessorsCache(){this._cached_successors=void 0}clearSuccessorsCacheWithPredecessors(){this.clearSuccessorsCache();for(let t of this.node.graphAllPredecessors())t.dirtyController.clearSuccessorsCache()}}class Mi{constructor(t,e){this._scene=t,this._name=e,this._dirty_controller=new Ai(this),this._graph_node_id=t.graph.nextId(),t.graph.addNode(this),this._graph=t.graph}dispose(){this._dirty_controller.dispose(),this.graphRemove()}name(){return this._name}setName(t){this._name=t}scene(){return this._scene}graphNodeId(){return this._graph_node_id}get dirtyController(){return this._dirty_controller}setDirty(t){t=t||this,this._dirty_controller.setDirty(t)}setSuccessorsDirty(t){this._dirty_controller.setSuccessorsDirty(t)}removeDirtyState(){this._dirty_controller.removeDirtyState()}isDirty(){return this._dirty_controller.isDirty()}addPostDirtyHook(t,e){this._dirty_controller.addPostDirtyHook(t,e)}graphRemove(){this._graph.removeNode(this)}addGraphInput(t,e=!0){return this._graph.connect(t,this,e)}removeGraphInput(t){this._graph.disconnect(t,this)}graphDisconnectPredecessors(){this._graph.disconnectPredecessors(this)}graphDisconnectSuccessors(){this._graph.disconnectSuccessors(this)}graphPredecessorIds(){return this._graph.predecessorIds(this._graph_node_id)||[]}graphPredecessors(){return this._graph.predecessors(this)}graphSuccessors(){return this._graph.successors(this)}graphAllPredecessors(){return this._graph.allPredecessors(this)}graphAllSuccessors(){return this._graph.allSuccessors(this)}}var Ei;!function(t){t.CREATED=\\\\\\\"node_created\\\\\\\",t.DELETED=\\\\\\\"node_deleted\\\\\\\",t.NAME_UPDATED=\\\\\\\"node_name_update\\\\\\\",t.OVERRIDE_CLONABLE_STATE_UPDATE=\\\\\\\"node_override_clonable_state_update\\\\\\\",t.NAMED_OUTPUTS_UPDATED=\\\\\\\"node_named_outputs_updated\\\\\\\",t.NAMED_INPUTS_UPDATED=\\\\\\\"node_named_inputs_updated\\\\\\\",t.INPUTS_UPDATED=\\\\\\\"node_inputs_updated\\\\\\\",t.PARAMS_UPDATED=\\\\\\\"node_params_updated\\\\\\\",t.UI_DATA_POSITION_UPDATED=\\\\\\\"node_ui_data_position_updated\\\\\\\",t.UI_DATA_COMMENT_UPDATED=\\\\\\\"node_ui_data_comment_updated\\\\\\\",t.ERROR_UPDATED=\\\\\\\"node_error_updated\\\\\\\",t.FLAG_BYPASS_UPDATED=\\\\\\\"bypass_flag_updated\\\\\\\",t.FLAG_DISPLAY_UPDATED=\\\\\\\"display_flag_updated\\\\\\\",t.FLAG_OPTIMIZE_UPDATED=\\\\\\\"optimize_flag_updated\\\\\\\",t.SELECTION_UPDATED=\\\\\\\"selection_updated\\\\\\\"}(Ei||(Ei={}));class Si{constructor(t,e=0,n=0){this.node=t,this._position=new d.a,this._width=50,this._color=new D.a(.75,.75,.75),this._layout_vertical=!0,this._json={x:0,y:0},this._position.x=e,this._position.y=n}setComment(t){this._comment=t,this.node.emit(Ei.UI_DATA_COMMENT_UPDATED)}comment(){return this._comment}setColor(t){this._color=t}color(){return this._color}setLayoutHorizontal(){this._layout_vertical=!1}isLayoutVertical(){return this._layout_vertical}copy(t){this._position.copy(t.position()),this._color.copy(t.color())}position(){return this._position}setPosition(t,e=0){if(m.isNumber(t)){const n=t;this._position.set(n,e)}else this._position.copy(t);this.node.emit(Ei.UI_DATA_POSITION_UPDATED)}translate(t,e=!1){this._position.add(t),e&&(this._position.x=Math.round(this._position.x),this._position.y=Math.round(this._position.y)),this.node.emit(Ei.UI_DATA_POSITION_UPDATED)}toJSON(){return this._json.x=this._position.x,this._json.y=this._position.y,this._json.comment=this._comment,this._json}}class Ci{constructor(t){this.node=t,this._state=!0,this._hooks=null}onUpdate(t){this._hooks=this._hooks||[],this._hooks.push(t)}_on_update(){}set(t){this._state!=t&&(this._state=t,this._on_update(),this.runHooks())}active(){return this._state}toggle(){this.set(!this._state)}runHooks(){if(this._hooks)for(let t of this._hooks)t()}}class Ni extends Ci{constructor(){super(...arguments),this._state=!1}_on_update(){this.node.emit(Ei.FLAG_BYPASS_UPDATED),this.node.setDirty()}}class Li extends Ci{_on_update(){this.node.emit(Ei.FLAG_DISPLAY_UPDATED)}}class Oi extends Ci{constructor(){super(...arguments),this._state=!1}_on_update(){this.node.emit(Ei.FLAG_OPTIMIZE_UPDATED)}}class Pi{constructor(t){this.node=t}hasDisplay(){return!1}hasBypass(){return!1}hasOptimize(){return!1}}function Ri(t){return class extends t{constructor(){super(...arguments),this.display=new Li(this.node)}hasDisplay(){return!0}}}function Ii(t){return class extends t{constructor(){super(...arguments),this.bypass=new Ni(this.node)}hasBypass(){return!0}}}function Fi(t){return class extends t{constructor(){super(...arguments),this.optimize=new Oi(this.node)}hasOptimize(){return!0}}}class Di extends(Ri(Pi)){}class Bi extends(Ii(Pi)){}class zi extends(Ii(Ri(Pi))){}class ki extends(Fi(Ii(Pi))){}class Ui extends(Fi(Ii(Ri(Pi)))){}class Gi{constructor(t){this.node=t}}class Vi extends Gi{active(){return this.paramsTimeDependent()||this.inputsTimeDependent()}paramsTimeDependent(){const t=this.node.params.names;for(let e of t){const t=this.node.params.get(e);if(t&&t.states.timeDependent.active())return!0}return!1}inputsTimeDependent(){const t=this.node.io.inputs.inputs();for(let e of t)if(e&&e.states.timeDependent.active())return!0;return!1}forceTimeDependent(){const t=this.node.graphPredecessors().map((t=>t.graphNodeId())),e=this.node.scene().timeController.graphNode;t.includes(e.graphNodeId())||this.node.addGraphInput(e,!1)}unforceTimeDependent(){const t=this.node.scene().timeController.graphNode;this.node.removeGraphInput(t)}}class Hi extends Gi{set(t){this._message!=t&&(t&&li.error(`[${this.node.path()}] error: '${t}'`),this._message=t,this.onUpdate())}message(){return this._message}clear(){this.set(void 0)}active(){return null!=this._message}onUpdate(){null!=this._message&&this.node._setContainer(null,`from error '${this._message}'`),this.node.emit(Ei.ERROR_UPDATED)}}class ji{constructor(t){this.node=t,this.timeDependent=new Vi(this.node),this.error=new Hi(this.node)}}class Wi{constructor(t){this.node=t,this._graph_node=new Mi(t.scene(),\\\\\\\"node_name_controller\\\\\\\")}dispose(){this._graph_node.dispose(),this._on_set_name_hooks=void 0,this._on_set_fullPath_hooks=void 0}get graph_node(){return this._graph_node}static base_name(t){let e=t.type();const n=e[e.length-1];return m.isNaN(parseInt(n))||(e+=\\\\\\\"_\\\\\\\"),`${e}1`}requestNameToParent(t){const e=this.node.parent();e&&e.childrenAllowed()&&e.childrenController?e.childrenController.setChildName(this.node,t):console.warn(\\\\\\\"requestNameToParent failed, no parent found\\\\\\\")}setName(t){t!=this.node.name()&&this.requestNameToParent(t)}updateNameFromParent(t){var e;if(this.node._set_core_name(t),this._postSetName(),this.runPostSetFullPathHooks(),this.node.childrenAllowed()){const t=null===(e=this.node.childrenController)||void 0===e?void 0:e.children();if(t)for(let e of t)e.nameController.runPostSetFullPathHooks()}this.node.lifecycle.creationCompleted()&&(this.node.scene().missingExpressionReferencesController.checkForMissingReferences(this.node),this.node.scene().expressionsController.regenerateReferringExpressions(this.node)),this.node.scene().referencesController.notifyNameUpdated(this.node),this.node.emit(Ei.NAME_UPDATED)}add_post_set_name_hook(t){this._on_set_name_hooks=this._on_set_name_hooks||[],this._on_set_name_hooks.push(t)}add_post_set_fullPath_hook(t){this._on_set_fullPath_hooks=this._on_set_fullPath_hooks||[],this._on_set_fullPath_hooks.push(t)}_postSetName(){if(this._on_set_name_hooks)for(let t of this._on_set_name_hooks)t()}runPostSetFullPathHooks(){if(this._on_set_fullPath_hooks)for(let t of this._on_set_fullPath_hooks)t()}}class qi{constructor(t){this.node=t,this._parent=null}parent(){return this._parent}setParent(t){t!=this.node.parentController.parent()&&(this._parent=t,this._parent&&this.node.nameController.requestNameToParent(Wi.base_name(this.node)))}firstAncestorWithContext(t){return this._parent?this._parent.context()==t?this._parent:this._parent.parentController.firstAncestorWithContext(t):null}path(t){const e=bi.SEPARATOR;if(null!=this._parent){if(this._parent==t)return this.node.name();{const n=this._parent.path(t);return n===e?n+this.node.name():n+e+this.node.name()}}return e}onSetParent(){if(this._on_set_parent_hooks)for(let t of this._on_set_parent_hooks)t()}findNode(t){if(null==t)return null;if(t==bi.CURRENT||t==bi.CURRENT_WITH_SLASH)return this.node;if(t==bi.PARENT||t==bi.PARENT_WITH_SLASH)return this.node.parent();const e=bi.SEPARATOR;if(t===e)return this.node.scene().root();if(t[0]===e)return t=t.substring(1,t.length),this.node.scene().root().node(t);if(t.split){const n=t.split(e);if(1===n.length){const t=n[0];return this.node.childrenController?this.node.childrenController.childByName(t):null}return bi.findNode(this.node,t)}return console.error(\\\\\\\"unexpected path given:\\\\\\\",t),null}}const Xi=/[, ]/,Yi=/\\\\d+$/,$i=/^0+/,Ji=/,| /,Zi=/^-?\\\\d+\\\\.?\\\\d*$/;var Ki,Qi,ts,es,ns,is;!function(t){t.TRUE=\\\\\\\"true\\\\\\\",t.FALSE=\\\\\\\"false\\\\\\\"}(Ki||(Ki={}));class ss{static isBoolean(t){return t==Ki.TRUE||t==Ki.FALSE}static toBoolean(t){return t==Ki.TRUE}static isNumber(t){return Zi.test(t)}static tailDigits(t){const e=t.match(Yi);return e?parseInt(e[0]):0}static increment(t){const e=t.match(Yi);if(e){let n=e[0],i=\\\\\\\"\\\\\\\";const s=n.match($i);s&&(i=s[0]);const r=parseInt(n);0==r&&i.length>0&&\\\\\\\"0\\\\\\\"==i[i.length-1]&&(i=i.slice(0,-1));return`${t.substring(0,t.length-e[0].length)}${i}${r+1}`}return`${t}1`}static pluralize(t){return\\\\\\\"s\\\\\\\"!==t[t.length-1]?`${t}s`:t}static camelCase(t){const e=t.replace(/_/g,\\\\\\\" \\\\\\\").split(\\\\\\\" \\\\\\\");let n=\\\\\\\"\\\\\\\";for(let t=0;t0&&(i=this.upperFirst(i)),n+=i}return n}static upperFirst(t){return t[0].toUpperCase()+t.substr(1)}static titleize(t){return t.split(/\\\\s|_/g).map((t=>this.upperFirst(t))).join(\\\\\\\" \\\\\\\")}static precision(t,e=2){e=Math.max(e,0);const n=`${t}`.split(\\\\\\\".\\\\\\\");if(e<=0)return n[0];let i=n[1];if(void 0!==i)return i.length>e&&(i=i.substring(0,e)),i=i.padEnd(e,\\\\\\\"0\\\\\\\"),`${n[0]}.${i}`;{const n=`${t}.`,i=n.length+e;return n.padEnd(i,\\\\\\\"0\\\\\\\")}}static ensureFloat(t){const e=`${t}`;return e.indexOf(\\\\\\\".\\\\\\\")>=0?e:`${e}.0`}static ensureInteger(t){const e=`${t}`;return e.indexOf(\\\\\\\".\\\\\\\")>=0?e.split(\\\\\\\".\\\\\\\")[0]:e}static matchMask(t,e){if(\\\\\\\"*\\\\\\\"===e)return!0;if(t==e)return!0;const n=e.split(\\\\\\\" \\\\\\\");if(n.length>1){for(let e of n){if(this.matchMask(t,e))return!0}return!1}e=`^${e=e.split(\\\\\\\"*\\\\\\\").join(\\\\\\\".*\\\\\\\")}$`;return new RegExp(e).test(t)}static matchesOneMask(t,e){let n=!1;for(let i of e)ss.matchMask(t,i)&&(n=!0);return n}static attribNames(t){const e=t.split(Xi),n=new Set;for(let t of e)t=t.trim(),t.length>0&&n.add(t);const i=new Array(n.size);let s=0;return n.forEach((t=>{i[s]=t,s++})),i}static indices(t){const e=t.split(Ji);if(e.length>1){const t=e.flatMap((t=>this.indices(t)));return f.uniq(t).sort(((t,e)=>t-e))}{const t=e[0];if(t){const e=\\\\\\\"-\\\\\\\";if(t.indexOf(e)>0){const n=t.split(e);return f.range(parseInt(n[0]),parseInt(n[1])+1)}{const e=parseInt(t);return m.isNumber(e)?[e]:[]}}return[]}}static escapeLineBreaks(t){return t.replace(/(\\\\r\\\\n|\\\\n|\\\\r)/gm,\\\\\\\"\\\\\\\\n\\\\\\\")}static sanitizeName(t){return t=(t=t.replace(/[^A-Za-z0-9]/g,\\\\\\\"_\\\\\\\")).replace(/^[0-9]/,\\\\\\\"_\\\\\\\")}}class rs{constructor(t){this._node=t,this._node_ids=[],this._json=[]}node(){return this._node}nodes(){return this._node.scene().graph.nodesFromIds(this._node_ids)}contains(t){return this._node_ids.includes(t.graphNodeId())}equals(t){const e=t.map((t=>t.graphNodeId())).sort();return f.isEqual(e,this._node_ids)}clear(){this._node_ids=[],this.send_update_event()}set(t){this._node_ids=[],this.add(t)}add(t){const e=t.map((t=>t.graphNodeId()));this._node_ids=f.union(this._node_ids,e),this.send_update_event()}remove(t){const e=t.map((t=>t.graphNodeId()));this._node_ids=f.difference(this._node_ids,e),this.send_update_event()}send_update_event(){this._node.emit(Ei.SELECTION_UPDATED)}toJSON(){return this._json=this._json||[],this._json=this._node_ids.map((t=>t)),this._json}}!function(t){t.ALWAYS=\\\\\\\"always\\\\\\\",t.NEVER=\\\\\\\"never\\\\\\\",t.FROM_NODE=\\\\\\\"from_node\\\\\\\"}(Qi||(Qi={}));class os{static unreachable(t){throw new Error(\\\\\\\"Didn't expect to get here\\\\\\\")}}class as{constructor(t){this.inputs_controller=t,this._clone_required_states=[],this._overridden=!1}init_inputs_cloned_state(t){m.isArray(t)?this._cloned_states=t:this._cloned_state=t,this._update_clone_required_state()}override_cloned_state_allowed(){if(this._cloned_states)for(let t of this._cloned_states)if(t==Qi.FROM_NODE)return!0;return!!this._cloned_state&&this._cloned_state==Qi.FROM_NODE}clone_required_state(t){return this._clone_required_states[t]}clone_required_states(){return this._clone_required_states}_get_clone_required_state(t){const e=this._cloned_states;if(e){const n=e[t];if(null!=n)return this.clone_required_from_state(n)}return!this._cloned_state||this.clone_required_from_state(this._cloned_state)}clone_required_from_state(t){switch(t){case Qi.ALWAYS:return!0;case Qi.NEVER:return!1;case Qi.FROM_NODE:return!this._overridden}return os.unreachable(t)}override_cloned_state(t){this._overridden=t,this._update_clone_required_state()}overriden(){return this._overridden}_update_clone_required_state(){if(this._cloned_states){const t=[];for(let e=0;e=1:e;if(m.isString(e)){if(n){if(n instanceof yi)return n.set_path(e);if(n instanceof xi)return n.set_path(e)}return e}m.isArray(e)&&this.params[t].fromArray(e)}setInput(t,e){this._inputs=this._inputs||[],this._inputs[t]=e}inputs_count(){return this._inputs?this._inputs.length:0}inputsController(){return this._inputs_controller=this._inputs_controller||new ls(this)}_init_cloned_states(){const t=this.operation.constructor.INPUT_CLONED_STATE;this.inputsController().init_inputs_cloned_state(t)}input_clone_required(t){return!this._inputs_controller||this._inputs_controller.clone_required(t)}override_input_clone_state(t){this.inputsController().override_cloned_state(t)}cook(t){return this.operation.cook(t,this.params)}}{constructor(t,e,n){super(t,e,n),this.operation=t,this.name=e,this.init_params=n,this._inputs=[],this._current_input_index=0,this._dirty=!0}add_input(t){super.setInput(this._current_input_index,t),this.increment_input_index()}increment_input_index(){this._current_input_index++}current_input_index(){return this._current_input_index}setDirty(){if(!this._dirty){this._compute_result=void 0;for(let t=0;t{n[i]=t[e]}));for(let i=0;i{t.push(e)})),t}childrenNames(){const t=[];return this._childrenByName.forEach(((e,n)=>{t.push(n)})),t}traverseChildren(t){this._childrenByName.forEach((e=>{var n;t(e),null===(n=e.childrenController)||void 0===n||n.traverseChildren(t)}))}}class us{constructor(t){this.node=t,this._creation_completed=!1}dispose(){this._on_child_add_hooks=void 0,this._on_child_remove_hooks=void 0,this._on_create_hooks=void 0,this._on_add_hooks=void 0,this._on_delete_hooks=void 0}setCreationCompleted(){this._creation_completed||(this._creation_completed=!0)}creationCompleted(){return this.node.scene().loadingController.loaded()&&this._creation_completed}add_on_child_add_hook(t){this._on_child_add_hooks=this._on_child_add_hooks||[],this._on_child_add_hooks.push(t)}run_on_child_add_hooks(t){this.execute_hooks_with_child_node(this._on_child_add_hooks,t)}add_on_child_remove_hook(t){this._on_child_remove_hooks=this._on_child_remove_hooks||[],this._on_child_remove_hooks.push(t)}run_on_child_remove_hooks(t){this.execute_hooks_with_child_node(this._on_child_remove_hooks,t)}add_on_create_hook(t){this._on_create_hooks=this._on_create_hooks||[],this._on_create_hooks.push(t)}run_on_create_hooks(){this.execute_hooks(this._on_create_hooks)}add_on_add_hook(t){this._on_add_hooks=this._on_add_hooks||[],this._on_add_hooks.push(t)}run_on_add_hooks(){this.execute_hooks(this._on_add_hooks)}add_delete_hook(t){this._on_delete_hooks=this._on_delete_hooks||[],this._on_delete_hooks.push(t)}run_on_delete_hooks(){this.execute_hooks(this._on_delete_hooks)}execute_hooks(t){if(t){let e;for(e of t)e()}}execute_hooks_with_child_node(t,e){if(t){let n;for(n of t)n(e)}}}!function(t){t.ANIM=\\\\\\\"anim\\\\\\\",t.COP=\\\\\\\"cop\\\\\\\",t.EVENT=\\\\\\\"event\\\\\\\",t.GL=\\\\\\\"gl\\\\\\\",t.JS=\\\\\\\"js\\\\\\\",t.MANAGER=\\\\\\\"manager\\\\\\\",t.MAT=\\\\\\\"mat\\\\\\\",t.OBJ=\\\\\\\"obj\\\\\\\",t.POST=\\\\\\\"post\\\\\\\",t.ROP=\\\\\\\"rop\\\\\\\",t.SOP=\\\\\\\"sop\\\\\\\"}(ts||(ts={})),function(t){t.ANIM=\\\\\\\"animationsNetwork\\\\\\\",t.COP=\\\\\\\"copNetwork\\\\\\\",t.EVENT=\\\\\\\"eventsNetwork\\\\\\\",t.MAT=\\\\\\\"materialsNetwork\\\\\\\",t.POST=\\\\\\\"postProcessNetwork\\\\\\\",t.ROP=\\\\\\\"renderersNetwork\\\\\\\"}(es||(es={})),function(t){t.INPUT=\\\\\\\"subnetInput\\\\\\\",t.OUTPUT=\\\\\\\"subnetOutput\\\\\\\"}(ns||(ns={})),function(t){t.PERSPECTIVE=\\\\\\\"perspectiveCamera\\\\\\\",t.ORTHOGRAPHIC=\\\\\\\"orthographicCamera\\\\\\\"}(is||(is={}));const ds=[is.ORTHOGRAPHIC,is.PERSPECTIVE];var ps,_s;!function(t){t.ATTRIBUTE=\\\\\\\"attribute\\\\\\\"}(ps||(ps={})),function(t){t.DEVICE_ORIENTATION=\\\\\\\"cameraDeviceOrientationControls\\\\\\\",t.MAP=\\\\\\\"cameraMapControls\\\\\\\",t.ORBIT=\\\\\\\"cameraOrbitControls\\\\\\\",t.FIRST_PERSON=\\\\\\\"firstPersonControls\\\\\\\",t.PLAYER=\\\\\\\"playerControls\\\\\\\",t.MOBILE_JOYSTICK=\\\\\\\"mobileJoystickControls\\\\\\\"}(_s||(_s={}));const ms=[_s.DEVICE_ORIENTATION,_s.MAP,_s.ORBIT,_s.FIRST_PERSON,_s.MOBILE_JOYSTICK];class fs{constructor(t){this._node=t}set_node(t){this._node=t}node(){return this._node}set_content(t){this._content=t,this._post_set_content()}has_content(){return null!=this._content}content(){return this._content}_post_set_content(){}coreContent(){return this._content}coreContentCloned(){return this._content}infos(){return[]}}var gs=n(69);class vs extends Q.a{constructor(){super(),this.type=\\\\\\\"Scene\\\\\\\",this.background=null,this.environment=null,this.fog=null,this.overrideMaterial=null,this.autoUpdate=!0,\\\\\\\"undefined\\\\\\\"!=typeof __THREE_DEVTOOLS__&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent(\\\\\\\"observe\\\\\\\",{detail:this}))}copy(t,e){return super.copy(t,e),null!==t.background&&(this.background=t.background.clone()),null!==t.environment&&(this.environment=t.environment.clone()),null!==t.fog&&(this.fog=t.fog.clone()),null!==t.overrideMaterial&&(this.overrideMaterial=t.overrideMaterial.clone()),this.autoUpdate=t.autoUpdate,this.matrixAutoUpdate=t.matrixAutoUpdate,this}toJSON(t){const e=super.toJSON(t);return null!==this.fog&&(e.object.fog=this.fog.toJSON()),e}}vs.prototype.isScene=!0;var ys=n(49),xs=n(52),bs=n(42),ws=n(55),Ts=n(62),As=n(24),Ms=n(35);const Es=new p.a,Ss=new p.a;class Cs extends Q.a{constructor(){super(),this._currentLevel=0,this.type=\\\\\\\"LOD\\\\\\\",Object.defineProperties(this,{levels:{enumerable:!0,value:[]},isLOD:{value:!0}}),this.autoUpdate=!0}copy(t){super.copy(t,!1);const e=t.levels;for(let t=0,n=e.length;t0){let n,i;for(n=1,i=e.length;n0){Es.setFromMatrixPosition(this.matrixWorld);const n=t.ray.origin.distanceTo(Es);this.getObjectForDistance(n).raycast(t,e)}}update(t){const e=this.levels;if(e.length>1){Es.setFromMatrixPosition(t.matrixWorld),Ss.setFromMatrixPosition(this.matrixWorld);const n=Es.distanceTo(Ss)/t.zoom;let i,s;for(e[0].object.visible=!0,i=1,s=e.length;i=e[i].distance;i++)e[i-1].object.visible=!1,e[i].object.visible=!0;for(this._currentLevel=i-1;in?n:t}static fit01(t,e,n){return this.fit(t,0,1,e,n)}static fit(t,e,n,i,s){return(t-e)/(n-e)*(s-i)+i}static blend(t,e,n){return(1-n)*t+n*e}static degrees_to_radians(t){return t*rr}static radians_to_degrees(t){return t/rr}static deg2rad(t){return this.degrees_to_radians(t)}static rad2deg(t){return this.radians_to_degrees(t)}static rand(t){return m.isNumber(t)?this.randFloat(t):this.randVec2(t)}static round(t,e){const n=t/e;return(t<0?Math.ceil(n):Math.floor(n))*e}static highest_even(t){return 2*Math.ceil(.5*t)}static randFloat(t,e=136574){return this._vec.x=t,this._vec.y=e,this.randVec2(this._vec)}static randVec2(t){const e=(12.9898*t.x+78.233*t.y)%Math.PI;return this.fract(43758.5453*Math.sin(e))}static geodesic_distance(t,e){var n=this.deg2rad(t.lat),i=this.deg2rad(e.lat),s=this.deg2rad(e.lat-t.lat),r=this.deg2rad(e.lng-t.lng),o=Math.sin(s/2)*Math.sin(s/2)+Math.cos(n)*Math.cos(i)*Math.sin(r/2)*Math.sin(r/2);return 6371e3*(2*Math.atan2(Math.sqrt(o),Math.sqrt(1-o)))}static expand_triangle(t,e){t.getMidpoint(this._triangle_mid),this._triangle_mid_to_corner.copy(t.a).sub(this._triangle_mid),this._triangle_mid_to_corner.normalize().multiplyScalar(e),t.a.add(this._triangle_mid_to_corner),this._triangle_mid_to_corner.copy(t.b).sub(this._triangle_mid),this._triangle_mid_to_corner.normalize().multiplyScalar(e),t.b.add(this._triangle_mid_to_corner),this._triangle_mid_to_corner.copy(t.c).sub(this._triangle_mid),this._triangle_mid_to_corner.normalize().multiplyScalar(e),t.c.add(this._triangle_mid_to_corner)}static nearestPower2(t){return Math.pow(2,Math.ceil(Math.log(t)/Math.log(2)))}}or.Easing=sr,or.fract=t=>t-Math.floor(t),or._vec={x:0,y:136574},or._triangle_mid=new p.a,or._triangle_mid_to_corner=new p.a;class ar{constructor(t,e){this._coreGeometry=t,this._index=e,this._geometry=this._coreGeometry.geometry()}index(){return this._index}points(){return this._points=this._points||this._get_points()}applyMatrix4(t){for(let e of this.points())e.applyMatrix4(t)}_get_points(){var t;const e=(null===(t=this._geometry.index)||void 0===t?void 0:t.array)||[],n=3*this._index;return[new Qs(this._coreGeometry,e[n+0]),new Qs(this._coreGeometry,e[n+1]),new Qs(this._coreGeometry,e[n+2])]}positions(){return this._positions=this._positions||this._getPositions()}_getPositions(){const t=this.points();return[t[0].position(),t[1].position(),t[2].position()]}triangle(){return this._triangle=this._triangle||this._get_triangle()}_get_triangle(){const t=this.positions();return new tr.a(t[0],t[1],t[2])}deltas(){return this._deltas=this._deltas||this._getDeltas()}_getDeltas(){const t=this.positions();return[t[1].clone().sub(t[0]),t[2].clone().sub(t[0])]}area(){return this.triangle().getArea()}center(t){const e=this.positions();return t.x=(e[0].x+e[1].x+e[2].x)/3,t.y=(e[0].y+e[1].y+e[2].y)/3,t.z=(e[0].z+e[1].z+e[2].z)/3,t}randomPosition(t){let e=[or.randFloat(t),or.randFloat(6541*t)];return e[0]+e[1]>1&&(e[0]=1-e[0],e[1]=1-e[1]),this.positions()[0].clone().add(this.deltas()[0].clone().multiplyScalar(e[0])).add(this.deltas()[1].clone().multiplyScalar(e[1]))}attribValueAtPosition(t,e){const n=new p.a;this.triangle().getBarycoord(e,n);const i=n.toArray(),s=this._geometry.attributes[t].itemSize,r=this.points().map((e=>e.attribValue(t)));let o,a,l=0;switch(s){case 1:a=0;for(let t of r)a+=t*i[l],l++;o=a;break;default:for(let t of r){const e=t.multiplyScalar(i[l]);a?a.add(e):a=e,l++}o=a}return o}static interpolatedValue(t,e,n,i){const s=[e.a,e.b,e.c],r=t.getAttribute(\\\\\\\"position\\\\\\\").array,o=s.map((t=>new p.a(r[3*t+0],r[3*t+1],r[3*t+2]))),a=i.itemSize,l=i.array;let c=[];switch(a){case 1:c=s.map((t=>l[t]));break;case 2:c=s.map((t=>new d.a(l[2*t+0],l[2*t+1])));break;case 3:c=s.map((t=>new p.a(l[3*t+0],l[3*t+1],l[3*t+2])))}const h=s.map(((t,e)=>n.distanceTo(o[e]))),u=f.sum([h[0]*h[1],h[0]*h[2],h[1]*h[2]]),_=[h[1]*h[2]/u,h[0]*h[2]/u,h[0]*h[1]/u];let m;switch(a){case 1:m=f.sum(s.map(((t,e)=>_[e]*c[e])));break;default:var g=s.map(((t,e)=>c[e].multiplyScalar(_[e])));m=null;for(let t of g)m?m.add(t):m=t}return m}}class lr{from_points(t){t=this._filter_points(t);const e=new S.a,n=new fr(e),i=t[0];if(null!=i){const s=i.geometry(),r=i.coreGeometry(),o={};for(let e=0;et.indexedAttribValue(i)))),r={};s.forEach(((t,e)=>r[t]=e)),n.userDataAttribs()[i]=s;const o=[];for(let e of t){const t=r[e.indexedAttribValue(i)];o.push(t)}e.setAttribute(i,new C.c(o,1))}else{const n=l[i].itemSize,s=new Array(t.length*n);switch(n){case 1:for(let e=0;enew fr(t))),n=e[0].indexedAttributeNames(),i={};for(let t of n){const n={},s=[];for(let i of e){const e=i.points();for(let i of e){s.push(i);const e=i.indexedAttribValue(t);null!=n[e]?n[e]:n[e]=Object.keys(n).length}}const r=Object.keys(n);for(let e of s){const i=n[e.indexedAttribValue(t)];e.setAttribIndex(t,i)}i[t]=r}const s=ur(t),r=new fr(s);return Object.keys(i).forEach((t=>{const e=i[t];r.setIndexedAttributeValues(t,e)})),s&&delete s.userData.mergedUserData,s}}const mr=\\\\\\\"indexed_attrib_values\\\\\\\";class fr{constructor(t){this._geometry=t}geometry(){return this._geometry}uuid(){return this._geometry.uuid}boundingBox(){return this._bounding_box=this._bounding_box||this._create_bounding_box()}_create_bounding_box(){if(this._geometry.computeBoundingBox(),this._geometry.boundingBox)return this._geometry.boundingBox}markAsInstance(){this._geometry.userData.isInstance=!0}static markedAsInstance(t){return!0===t.userData.isInstance}markedAsInstance(){return fr.markedAsInstance(this._geometry)}positionAttribName(){let t=\\\\\\\"position\\\\\\\";return this.markedAsInstance()&&(t=\\\\\\\"instancePosition\\\\\\\"),t}computeVertexNormals(){this._geometry.computeVertexNormals()}userDataAttribs(){return this._geometry.userData[mr]=this._geometry.userData[mr]||{}}indexedAttributeNames(){return Object.keys(this.userDataAttribs()||{})}userDataAttrib(t){return t=Xs.remapName(t),this.userDataAttribs()[t]}isAttribIndexed(t){return t=Xs.remapName(t),null!=this.userDataAttrib(t)}hasAttrib(t){return\\\\\\\"ptnum\\\\\\\"===t||(t=Xs.remapName(t),null!=this._geometry.attributes[t])}attribType(t){return this.isAttribIndexed(t)?zs.STRING:zs.NUMERIC}static attribNames(t){return Object.keys(t.attributes)}attribNames(){return fr.attribNames(this._geometry)}static attribNamesMatchingMask(t,e){const n=ss.attribNames(e),i=[];for(let e of this.attribNames(t))for(let t of n)ss.matchMask(e,t)&&i.push(e);return f.uniq(i)}attribSizes(){const t={};for(let e of this.attribNames())t[e]=this._geometry.attributes[e].itemSize;return t}attribSize(t){let e;return t=Xs.remapName(t),null!=(e=this._geometry.attributes[t])?e.itemSize:\\\\\\\"ptnum\\\\\\\"===t?1:0}setIndexedAttributeValues(t,e){this.userDataAttribs()[t]=e}setIndexedAttribute(t,e,n){this.setIndexedAttributeValues(t,e),this._geometry.setAttribute(t,new C.f(n,1))}addNumericAttrib(t,e=1,n=0){const i=[];let s=!1;if(m.isNumber(n)){for(let t=0;t1)if(m.isArray(n)){for(let t=0;tnew ar(this,t)))}}var gr;fr._mesh_builder=new class extends lr{_filter_points(t){var e;const n=t[0];if(n){const i=null===(e=n.geometry().getIndex())||void 0===e?void 0:e.array;if(i){const e={};for(let n of t)e[n.index()]=n;const n=[],s=i.length;let r,o,a;for(let t=0;t{};class yr{static node(t,e){return t.node(e.name)}static clone(t){const e=t.clone(),n=t.uniforms;return n&&(e.uniforms=I.clone(n)),e}static add_user_data_render_hook(t,e){t.userData.POLY_render_hook=e}static apply_render_hook(t,e){if(e.userData){const n=e.userData.POLY_render_hook;if(n)return void(t.onBeforeRender=(e,i,s,r,o,a)=>{n(e,i,s,r,o,a,t)})}t.onBeforeRender=vr}static applyCustomMaterials(t,e){const n=e;if(n.customMaterials)for(let e of Object.keys(n.customMaterials)){const i=e,s=n.customMaterials[i];s&&(t[i]=s,s.needsUpdate=!0)}}static assign_custom_uniforms(t,e,n){const i=t;if(i.customMaterials)for(let t of Object.keys(i.customMaterials)){const s=t,r=i.customMaterials[s];r&&(r.uniforms[e].value=n)}}static init_custom_material_uniforms(t,e,n){const i=t;if(i.customMaterials)for(let t of Object.keys(i.customMaterials)){const s=t,r=i.customMaterials[s];r&&(r.uniforms[e]=r.uniforms[e]||n)}}}const xr=\\\\\\\"name\\\\\\\";class br extends Ys{constructor(t,e){super(e),this._object=t,null==this._object.userData.attributes&&(this._object.userData.attributes={})}object(){return this._object}geometry(){return this._object.geometry}coreGeometry(){const t=this.geometry();return t?new fr(t):null}points(){var t;return(null===(t=this.coreGeometry())||void 0===t?void 0:t.points())||[]}pointsFromGroup(t){if(t){const e=ss.indices(t);if(e){const t=this.points();return e.map((e=>t[e]))}return[]}return this.points()}static isInGroup(t,e){const n=t.trim();if(0==n.length)return!0;const i=n.split(\\\\\\\"=\\\\\\\"),s=i[0];if(\\\\\\\"@\\\\\\\"==s[0]){const t=s.substr(1);return i[1]==this.attribValue(e,t)}return!1}computeVertexNormals(){var t;null===(t=this.coreGeometry())||void 0===t||t.computeVertexNormals()}static _convert_array_to_vector(t){switch(t.length){case 1:return t[0];case 2:return new d.a(t[0],t[1]);case 3:return new p.a(t[0],t[1],t[2]);case 4:return new _.a(t[0],t[1],t[2],t[3])}}static addAttribute(t,e,n){if(m.isArray(n)){if(!this._convert_array_to_vector(n)){const t=\\\\\\\"attribute_value invalid\\\\\\\";throw console.error(t,n),new Error(t)}}const i=n,s=t.userData;s.attributes=s.attributes||{},s.attributes[e]=i}addAttribute(t,e){br.addAttribute(this._object,t,e)}addNumericAttrib(t,e){this.addAttribute(t,e)}setAttribValue(t,e){this.addAttribute(t,e)}addNumericVertexAttrib(t,e,n){var i;null==n&&(n=Xs.default_value(e)),null===(i=this.coreGeometry())||void 0===i||i.addNumericAttrib(t,e,n)}attributeNames(){return Object.keys(this._object.userData.attributes)}attribNames(){return this.attributeNames()}hasAttrib(t){return this.attributeNames().includes(t)}renameAttrib(t,e){const n=this.attribValue(t);null!=n?(this.addAttribute(e,n),this.deleteAttribute(t)):console.warn(`attribute ${t} not found`)}deleteAttribute(t){delete this._object.userData.attributes[t]}static attribValue(t,e,n=0,i){if(\\\\\\\"ptnum\\\\\\\"===e)return n;if(t.userData&&t.userData.attributes){const n=t.userData.attributes[e];if(null==n){if(e==xr)return t.name}else if(m.isArray(n)&&i)return i.fromArray(n),i;return n}return e==xr?t.name:void 0}static stringAttribValue(t,e,n=0){const i=this.attribValue(t,e,n);if(null!=i)return m.isString(i)?i:`${i}`}attribValue(t,e){return br.attribValue(this._object,t,this._index,e)}stringAttribValue(t){return br.stringAttribValue(this._object,t,this._index)}name(){return this.attribValue(xr)}humanType(){return js.CONSTRUCTOR_NAMES_BY_CONSTRUCTOR_NAME[this._object.constructor.name]}attribTypes(){const t={};for(let e of this.attribNames()){const n=this.attribType(e);null!=n&&(t[e]=n)}return t}attribType(t){const e=this.attribValue(t);return m.isString(e)?zs.STRING:zs.NUMERIC}attribSizes(){const t={};for(let e of this.attribNames()){const n=this.attribSize(e);null!=n&&(t[e]=n)}return t}attribSize(t){const e=this.attribValue(t);return null==e?null:Xs.attribSizeFromValue(e)}clone(){return br.clone(this._object)}static clone(t){const e=t.clone();var n=new Map,i=new Map;return br.parallelTraverse(t,e,(function(t,e){n.set(e,t),i.set(t,e)})),e.traverse((function(e){const s=n.get(e),r=e;if(r.geometry){const t=s.geometry;r.geometry=fr.clone(t);const e=r.geometry;e.userData&&(e.userData=b.cloneDeep(t.userData))}if(r.material){r.material=s.material,yr.applyCustomMaterials(e,r.material);const t=r.material;null==t.color&&(t.color=new D.a(1,1,1))}t.userData&&(e.userData=b.cloneDeep(s.userData));const o=s;o.animations&&(e.animations=o.animations.map((t=>t.clone())));const a=e;if(a.isSkinnedMesh){var l=a,c=s,h=c.skeleton.bones;l.skeleton=c.skeleton.clone(),l.bindMatrix.copy(c.bindMatrix);const t=h.map((function(t){return i.get(t)}));l.skeleton.bones=t,l.bind(l.skeleton,l.bindMatrix)}})),e}static parallelTraverse(t,e,n){n(t,e);for(var i=0;i{const i=e.attributes[n];t[n]=i.itemSize})),t}objectAttributeSizesByName(){let t={};const e=this.firstCoreObject();if(e){const n=e.attribNames();for(let i of n){const n=e.attribSize(i);null!=n&&(t[i]=n)}}return t}pointAttributeTypesByName(){let t={};const e=this.firstGeometry();if(e){const n=new fr(e);Object.keys(e.attributes).forEach((e=>{t[e]=n.attribType(e)}))}return t}objectAttributeTypesByName(){let t={};const e=this.firstCoreObject();if(e)for(let n of e.attribNames())t[n]=e.attribType(n);return t}objectAttributeNames(){let t=[];const e=this.firstObject();return e&&(t=Object.keys(e.userData.attributes||{})),t}pointsCount(){return this._content?this._content.pointsCount():0}totalPointsCount(){return this._content?this._content.totalPointsCount():0}objectsData(){return this._content?this._content.objectsData():[]}boundingBox(t=!1){return this._content.boundingBox(t)}center(){return this._content.center()}size(){return this._content.size()}}};class Tr{constructor(t){this.node=t,this._callbacks=[],this._callbacks_tmp=[];const e=wr[t.context()];this._container=new e(this.node)}container(){return this._container}async compute(){var t,e;if(null===(e=null===(t=this.node.flags)||void 0===t?void 0:t.bypass)||void 0===e?void 0:e.active()){const t=await this.requestInputContainer(0)||this._container;return this.node.cookController.endCook(),t}return this.node.isDirty()?new Promise(((t,e)=>{this._callbacks.push(t),this.node.cookController.cookMain()})):this._container}async requestInputContainer(t){const e=this.node.io.inputs.input(t);return e?await e.compute():(this.node.states.error.set(`input ${t} required`),this.notifyRequesters(),null)}notifyRequesters(t){let e;for(this._callbacks_tmp=this._callbacks.slice(),this._callbacks.splice(0,this._callbacks.length),t||(t=this.node.containerController.container());e=this._callbacks_tmp.pop();)e(t);this.node.scene().cookController.removeNode(this.node)}}const Ar=li.performance.performanceManager();class Mr{constructor(t){this.cookController=t,this._inputs_start=0,this._params_start=0,this._cook_start=0,this._cooksCount=0,this._data={inputsTime:0,paramsTime:0,cookTime:0}}cooksCount(){return this._cooksCount}data2(){return this._data}active(){return this.cookController.performanceRecordStarted()}recordInputsStart(){this.active()&&(this._inputs_start=Ar.now())}recordInputsEnd(){this.active()&&(this._data.inputsTime=Ar.now()-this._inputs_start)}recordParamsStart(){this.active()&&(this._params_start=Ar.now())}recordParamsEnd(){this.active()&&(this._data.paramsTime=Ar.now()-this._params_start)}recordCookStart(){this.active()&&(this._cook_start=Ar.now())}recordCookEnd(){this.active()&&(this._data.cookTime=Ar.now()-this._cook_start,this._cooksCount+=1)}}class Er{constructor(t){this.node=t,this._cooking=!1,this._performanceController=new Mr(this),this._inputs_evaluation_required=!0,this._core_performance=this.node.scene().performance}performanceRecordStarted(){return this._core_performance.started()}disallowInputsEvaluation(){this._inputs_evaluation_required=!1}isCooking(){return!0===this._cooking}_start_cook_if_no_errors(t){if(this.node.states.error.active())this.endCook();else try{this._performanceController.recordCookStart(),this.node.cook(t)}catch(t){this.node.states.error.set(`node internal error: '${t}'.`),li.warn(t),this.endCook()}}async cookMain(){if(this.isCooking())return;let t;this._initCookingState(),this.node.states.error.clear(),this.node.scene().cookController.addNode(this.node),t=this._inputs_evaluation_required?await this._evaluateInputs():[],this.node.params.paramsEvalRequired()&&await this._evaluateParams(),this._start_cook_if_no_errors(t)}async cookMainWithoutInputs(){this.node.scene().cookController.addNode(this.node),this.isCooking()?li.warn(\\\\\\\"cook_main_without_inputs already cooking\\\\\\\",this.node.path()):(this._initCookingState(),this.node.states.error.clear(),this.node.params.paramsEvalRequired()&&await this._evaluateParams(),this._start_cook_if_no_errors([]))}endCook(t){this._finalizeCookPerformance();const e=this.node.dirtyController.dirtyTimestamp();null==e||e===this._cooking_dirty_timestamp?(this.node.removeDirtyState(),this._terminateCookProcess()):(li.log(\\\\\\\"COOK AGAIN\\\\\\\",e,this._cooking_dirty_timestamp,this.node.path()),this._cooking=!1,this.cookMain())}_initCookingState(){this._cooking=!0,this._cooking_dirty_timestamp=this.node.dirtyController.dirtyTimestamp()}_terminateCookProcess(){this.isCooking()&&(this._cooking=!1,this.node.containerController.notifyRequesters(),this._run_on_cook_complete_hooks())}async _evaluateInputs(){this._performanceController.recordInputsStart();let t=[];const e=this.node.io.inputs;this._inputs_evaluation_required&&(t=e.is_any_input_dirty()?await e.eval_required_inputs():await e.containers_without_evaluation());const n=e.inputs(),i=[];let s;for(let r=0;rt.graphNodeId()))}maxInputsCount(){return this.node.io.inputs.maxInputsCount()}inputIds(){return this.node.io.inputs.inputs().map((t=>null!=t?t.graphNodeId():void 0))}inputConnectionOutputIndices(){var t;return null===(t=this.node.io.connections.inputConnections())||void 0===t?void 0:t.map((t=>null!=t?t.output_index:void 0))}namedInputConnectionPoints(){return this.node.io.inputs.namedInputConnectionPoints().map((t=>t.toJSON()))}namedOutputConnectionPoints(){return this.node.io.outputs.namedOutputConnectionPoints().map((t=>t.toJSON()))}to_json_params_from_names(t,e=!1){return t.map((t=>this.node.params.get(t).graphNodeId()))}to_json_params(t=!1){return this.to_json_params_from_names(this.node.params.names,t)}}var Cr,Nr;!function(t){t.BOOLEAN=\\\\\\\"boolean\\\\\\\",t.BUTTON=\\\\\\\"button\\\\\\\",t.COLOR=\\\\\\\"color\\\\\\\",t.FLOAT=\\\\\\\"float\\\\\\\",t.FOLDER=\\\\\\\"folder\\\\\\\",t.INTEGER=\\\\\\\"integer\\\\\\\",t.OPERATOR_PATH=\\\\\\\"operator_path\\\\\\\",t.PARAM_PATH=\\\\\\\"param_path\\\\\\\",t.NODE_PATH=\\\\\\\"node_path\\\\\\\",t.RAMP=\\\\\\\"ramp\\\\\\\",t.STRING=\\\\\\\"string\\\\\\\",t.VECTOR2=\\\\\\\"vector2\\\\\\\",t.VECTOR3=\\\\\\\"vector3\\\\\\\",t.VECTOR4=\\\\\\\"vector4\\\\\\\"}(Cr||(Cr={})),function(t){t.VISIBLE_UPDATED=\\\\\\\"param_visible_updated\\\\\\\",t.RAW_INPUT_UPDATED=\\\\\\\"raw_input_updated\\\\\\\",t.VALUE_UPDATED=\\\\\\\"param_value_updated\\\\\\\",t.EXPRESSION_UPDATED=\\\\\\\"param_expression_update\\\\\\\",t.ERROR_UPDATED=\\\\\\\"param_error_updated\\\\\\\",t.DELETED=\\\\\\\"param_deleted\\\\\\\"}(Nr||(Nr={}));const Lr=\\\\\\\"dependentOnFoundNode\\\\\\\",Or=\\\\\\\"visibleIf\\\\\\\";var Pr,Rr;!function(t){t.TYPESCRIPT=\\\\\\\"typescript\\\\\\\"}(Pr||(Pr={})),function(t){t.AUDIO=\\\\\\\"audio\\\\\\\",t.TEXTURE_IMAGE=\\\\\\\"texture_image\\\\\\\",t.TEXTURE_VIDEO=\\\\\\\"texture_video\\\\\\\",t.GEOMETRY=\\\\\\\"geometry\\\\\\\",t.FONT=\\\\\\\"font\\\\\\\",t.SVG=\\\\\\\"svg\\\\\\\",t.JSON=\\\\\\\"json\\\\\\\"}(Rr||(Rr={}));class Ir{constructor(t){this._param=t,this._programatic_visible_state=!0,this._callbackAllowed=!1,this._updateVisibilityAndRemoveDirtyBound=this.updateVisibilityAndRemoveDirty.bind(this),this._ui_data_dependency_set=!1}dispose(){var t;try{this._options.callback=void 0,this._options.callbackString=void 0}catch(t){}null===(t=this._visibility_graph_node)||void 0===t||t.dispose()}set(t){this._default_options=t,this._options=b.cloneDeep(this._default_options),this.post_set_options()}copy(t){this._default_options=b.cloneDeep(t.default()),this._options=b.cloneDeep(t.current()),this.post_set_options()}setOption(t,e){if(this._options[t]=e,this._param.components)for(let n of this._param.components)n.options.setOption(t,e)}post_set_options(){this._handleComputeOnDirty()}param(){return this._param}node(){return this._param.node}default(){return this._default_options}current(){return this._options}hasOptionsOverridden(){return!b.isEqual(this._options,this._default_options)}overriddenOptions(){const t={},e=Object.keys(this._options);for(let n of e)if(!b.isEqual(this._options[n],this._default_options[n])){const e=b.cloneDeep(this._options[n]);Object.assign(t,{[n]:e})}return t}overriddenOptionNames(){return Object.keys(this.overriddenOptions())}computeOnDirty(){return this._options.computeOnDirty||!1}_handleComputeOnDirty(){this.computeOnDirty()&&(this._computeOnDirty_callback_added||(this.param().addPostDirtyHook(\\\\\\\"computeOnDirty\\\\\\\",this._computeParam.bind(this)),this._computeOnDirty_callback_added=!0))}async _computeParam(){await this.param().compute()}hasCallback(){return null!=this._options.callback||null!=this._options.callbackString}allowCallback(){this._callbackAllowed=!0}executeCallback(){if(!this._callbackAllowed)return;if(!this.node())return;const t=this.getCallback();if(!t)return;if(!this.node().scene().loadingController.loaded())return;const e=this.param().parent_param;e?e.options.executeCallback():t(this.node(),this.param())}getCallback(){if(this.hasCallback())return this._options.callback=this._options.callback||this.createCallbackFromString()}createCallbackFromString(){const t=this._options.callbackString;if(t){const e=new Function(\\\\\\\"node\\\\\\\",\\\\\\\"scene\\\\\\\",\\\\\\\"window\\\\\\\",\\\\\\\"location\\\\\\\",t);return()=>{e(this.node(),this.node().scene(),null,null)}}}colorConversion(){return this._options.conversion}makesNodeDirtyWhenDirty(){let t;if(null!=this.param().parent_param)return!1;let e=!0;return null!=(t=this._options.cook)&&(e=t),e}fileBrowseOption(){return this._options.fileBrowse}fileBrowseAllowed(){return null!=this.fileBrowseOption()}fileBrowseType(){const t=this.fileBrowseOption();return t?t.type:null}separatorBefore(){return this._options.separatorBefore}separatorAfter(){return this._options.separatorAfter}isExpressionForEntities(){const t=this._options.expression;return t&&t.forEntities||!1}level(){return this._options.level||0}hasMenu(){return null!=this.menuOptions()||null!=this.menuStringOptions()}menuOptions(){return this._options.menu}menuStringOptions(){return this._options.menuString}menuEntries(){const t=this.menuOptions()||this.menuStringOptions();return t?t.entries:[]}isMultiline(){return!0===this._options.multiline}language(){return this._options.language}isCode(){return null!=this.language()}nodeSelectionOptions(){return this._options.nodeSelection}nodeSelectionContext(){const t=this.nodeSelectionOptions();if(t)return t.context}nodeSelectionTypes(){const t=this.nodeSelectionOptions();if(t)return t.types}dependentOnFoundNode(){return!(Lr in this._options)||this._options.dependentOnFoundNode}isSelectingParam(){return null!=this.paramSelectionOptions()}paramSelectionOptions(){return this._options.paramSelection}paramSelectionType(){const t=this.paramSelectionOptions();if(t){const e=t;if(!m.isBoolean(e))return e}}range(){return this._options.range||[0,1]}step(){return this._options.step}rangeLocked(){return this._options.rangeLocked||[!1,!1]}ensureInRange(t){const e=this.range();return t>=e[0]&&t<=e[1]?t:tObject.keys(t))).flat()):Object.keys(t);const n=this.param().node;return f.compact(e.map((t=>{const e=n.params.get(t);if(e)return e;console.error(`param ${t} not found as visibility condition for ${this.param().name()} in node ${this.param().node.type()}`)})))}setUiDataDependency(){if(this._ui_data_dependency_set)return;this._ui_data_dependency_set=!0;const t=this.visibilityPredecessors();if(t.length>0){this._visibility_graph_node=new Mi(this.param().scene(),\\\\\\\"param_visibility\\\\\\\");for(let e of t)this._visibility_graph_node.addGraphInput(e);this._visibility_graph_node.addPostDirtyHook(\\\\\\\"_update_visibility_and_remove_dirty\\\\\\\",this._updateVisibilityAndRemoveDirtyBound)}}updateVisibilityAndRemoveDirty(){this.updateVisibility(),this.param().removeDirtyState()}async updateVisibility(){const t=this._options.visibleIf;if(t){const e=this.visibilityPredecessors(),n=e.map((t=>{if(t.isDirty())return t.compute()}));if(this._programatic_visible_state=!1,await Promise.all(n),m.isArray(t))for(let n of t){e.filter((t=>t.value==n[t.name()])).length==e.length&&(this._programatic_visible_state=!0)}else{const n=e.filter((e=>e.value==t[e.name()]));this._programatic_visible_state=n.length==e.length}this.param().emit(Nr.VISIBLE_UPDATED)}}}class Fr{constructor(t){this.param=t,this._blocked_emit=!1,this._blocked_parent_emit=!1,this._count_by_event_name={}}emitAllowed(){return!0!==this._blocked_emit&&(!this.param.scene().loadingController.isLoading()&&this.param.scene().dispatchController.emitAllowed())}blockEmit(){if(this._blocked_emit=!0,this.param.isMultiple()&&this.param.components)for(let t of this.param.components)t.emitController.blockEmit();return!0}unblockEmit(){if(this._blocked_emit=!1,this.param.isMultiple()&&this.param.components)for(let t of this.param.components)t.emitController.unblockEmit();return!0}blockParentEmit(){return this._blocked_parent_emit=!0,!0}unblockParentEmit(){return this._blocked_parent_emit=!1,!0}incrementCount(t){this._count_by_event_name[t]=this._count_by_event_name[t]||0,this._count_by_event_name[t]+=1}eventsCount(t){return this._count_by_event_name[t]||0}emit(t){this.emitAllowed()&&(this.param.emit(t),null!=this.param.parent_param&&!0!==this._blocked_parent_emit&&this.param.parent_param.emit(t))}}class Dr{constructor(t){this.param=t}toJSON(){const t={name:this.param.name(),type:this.param.type(),raw_input:this.rawInput(),value:this.value(),value_pre_conversion:this.value_pre_conversion(),expression:this.expression(),graph_node_id:this.param.graphNodeId(),error_message:this.error_message(),is_visible:this.is_visible(),components:void 0};return this.param.isMultiple()&&this.param.components&&(t.components=this.param.components.map((t=>t.graphNodeId()))),t}rawInput(){return this.param.rawInputSerialized()}value(){return this.param.valueSerialized()}value_pre_conversion(){return this.param.valuePreConversionSerialized()}expression(){var t;return this.param.hasExpression()?null===(t=this.param.expressionController)||void 0===t?void 0:t.expression():void 0}error_message(){return this.param.states.error.message()}is_visible(){return this.param.options.isVisible()}}class Br{constructor(t){this.param=t}active(){const t=this.param.scene().timeController.graphNode.graphNodeId();return this.param.graphPredecessorIds().includes(t)}}class zr{constructor(t){this.param=t}set(t){this._message!=t&&(this._message=t,this._message&&li.warn(this.param.path(),this._message),this.param.emitController.emit(Nr.ERROR_UPDATED))}message(){return this._message}clear(){this.set(void 0)}active(){return null!=this._message}}class kr{constructor(t){this.param=t,this.timeDependent=new Br(this.param),this.error=new zr(this.param)}}class Ur extends Mi{constructor(t,e,n){var i;super(t.scene(),\\\\\\\"MethodDependency\\\\\\\"),this.param=t,this.path_argument=e,this.decomposed_path=n,this._update_from_name_change_bound=this._update_from_name_change.bind(this),null===(i=t.expressionController)||void 0===i||i.registerMethodDependency(this),this.addPostDirtyHook(\\\\\\\"_update_from_name_change\\\\\\\",this._update_from_name_change_bound)}_update_from_name_change(t){if(t&&this.decomposed_path){const e=t;this.decomposed_path.update_from_name_change(e);const n=this.decomposed_path.to_path(),i=this.jsep_node;i&&(i.value=`${i.value}`.replace(`${this.path_argument}`,n),i.raw=i.raw.replace(`${this.path_argument}`,n)),this.param.expressionController&&this.param.expressionController.updateFromMethodDependencyNameChange()}}reset(){this.graphDisconnectPredecessors()}listen_for_name_changes(){if(this.jsep_node&&this.decomposed_path)for(let t of this.decomposed_path.named_nodes())if(t){const e=t;e.nameController&&this.addGraphInput(e.nameController.graph_node)}}set_jsep_node(t){this.jsep_node=t}set_resolved_graph_node(t){this.resolved_graph_node=t}set_unresolved_path(t){this.unresolved_path=t}static create(t,e,n,i){const s=m.isNumber(e),r=new Ur(t,e,i);if(n)r.set_resolved_graph_node(n);else if(!s){const t=e;r.set_unresolved_path(t)}return r}}const Gr=[];class Vr extends Mi{constructor(t,e){super(t,\\\\\\\"BaseParam\\\\\\\"),this._options=new Ir(this),this._emit_controller=new Fr(this),this._is_computing=!1,this._node=e,this.initialize_param()}get options(){return this._options=this._options||new Ir(this)}get emitController(){return this._emit_controller=this._emit_controller||new Fr(this)}get expressionController(){return this._expression_controller}get serializer(){return this._serializer=this._serializer||new Dr(this)}get states(){return this._states=this._states||new kr(this)}dispose(){var t,e;const n=this.graphPredecessors();for(let t of n)t instanceof Ur&&t.dispose();this.scene().missingExpressionReferencesController.deregisterParam(this),null===(t=this._expression_controller)||void 0===t||t.dispose(),super.dispose(),null===(e=this._options)||void 0===e||e.dispose()}initialize_param(){}static type(){return Cr.FLOAT}type(){return this.constructor.type()}isNumeric(){return!1}setName(t){super.setName(t)}get value(){return this._value}copy_value(t){t.type()==this.type()?this._copy_value(t):console.warn(`cannot copy value from ${t.type()} to ${this.type()}`)}_copy_value(t){throw\\\\\\\"abstract method param._copy_value\\\\\\\"}valuePreConversionSerialized(){}convert(t){return null}static are_raw_input_equal(t,e){return!1}is_raw_input_equal(t){return this.constructor.are_raw_input_equal(this._raw_input,t)}static are_values_equal(t,e){return!1}is_value_equal(t){return this.constructor.are_values_equal(this.value,t)}_clone_raw_input(t){return t}set(t){this._raw_input=this._clone_raw_input(this._prefilter_invalid_raw_input(t)),this.emitController.emit(Nr.RAW_INPUT_UPDATED),this.processRawInput()}_prefilter_invalid_raw_input(t){return t}defaultValue(){return this._default_value}isDefault(){return this._raw_input==this._default_value}rawInput(){return this._raw_input}processRawInput(){}async compute(){if(this.scene().loadingController.isLoading()&&console.warn(`param attempt to compute ${this.path()}`),this.isDirty()){if(this._is_computing)return new Promise(((t,e)=>{this._compute_resolves=this._compute_resolves||[],this._compute_resolves.push(t)}));if(this._is_computing=!0,await this.processComputation(),this._is_computing=!1,this._compute_resolves){let t;for(;t=this._compute_resolves.pop();)t()}}}async processComputation(){}setInitValue(t){this._default_value=this._clone_raw_input(this._prefilter_invalid_raw_input(t))}_setupNodeDependencies(t){var e,n;if(t?(this.options.allowCallback(),this.parent_param||(this.options.makesNodeDirtyWhenDirty()?null===(n=t.params.params_node)||void 0===n||n.addGraphInput(this,!1):this.dirtyController.addPostDirtyHook(\\\\\\\"run callback\\\\\\\",(async()=>{await this.compute(),this.options.executeCallback()})))):this._node&&(null===(e=this._node.params.params_node)||void 0===e||e.removeGraphInput(this)),this.components)for(let e of this.components)e._setupNodeDependencies(t)}get node(){return this._node}parent(){return this.node}set_parent_param(t){t.addGraphInput(this,!1),this._parent_param=t}get parent_param(){return this._parent_param}has_parent_param(){return null!=this._parent_param}path(){var t;return(null===(t=this.node)||void 0===t?void 0:t.path())+\\\\\\\"/\\\\\\\"+this.name()}pathRelativeTo(t){const e=bi.relativePath(t,this.node);return e.length>0?`${e}${bi.SEPARATOR}${this.name()}`:this.name()}emit(t){this.emitController.emitAllowed()&&(this.emitController.incrementCount(t),this.scene().dispatchController.dispatch(this,t))}get components(){return this._components}componentNames(){return Gr}isMultiple(){return this.componentNames().length>0}initComponents(){}hasExpression(){return null!=this.expressionController&&this.expressionController.active()}toJSON(){return this.serializer.toJSON()}}var Hr=n(94),jr=n.n(Hr);jr.a.addUnaryOp(\\\\\\\"@\\\\\\\");jr.a.addBinaryOp(\\\\\\\"**\\\\\\\",10);class Wr{constructor(){}parse_expression(t){try{this.reset(),this.node=jr()(t)}catch(e){const n=`could not parse the expression '${t}' (error: ${e})`;this.error_message=n}}parse_expression_for_string_param(t){try{this.reset();const e=Wr.string_value_elements(t),n=[];for(let t=0;t0){const e=\\\\\\\"const coreGeometry = entities[0].coreGeometry();\\\\\\\";t.push(e)}for(let e of this._attributeNames)t.push(Xr.assignItemSizeLine(e)),t.push(Xr.assignArrayLine(e));return t.join(\\\\\\\";\\\\n\\\\\\\")}return\\\\\\\"\\\\\\\"}attributePresenceCheckLine(){if(this._attributeNames){const t=[];for(let e of this._attributeNames){const n=Xr._varAttribute(e);t.push(n)}if(t.length>0)return t.join(\\\\\\\" && \\\\\\\")}return\\\\\\\"true\\\\\\\"}add(t){this._attributeNames=this._attributeNames||new Set,this._attributeNames.add(t)}static assignAttributeLine(t){return`const ${this._varAttribute(t)} = entities[0].geometry().attributes['${t}']`}static assignItemSizeLine(t){const e=this._varAttribute(t);return`const ${this._varAttribSize(t)} = ${e}.itemSize`}static assignArrayLine(t){const e=this._varAttribute(t);return`const ${this._varArray(t)} = ${`coreGeometry.isAttribIndexed('${t}')`} ? ${`entities.map(e=>e.indexedAttribValue('${t}'))`} : ${`${e}.array`}`}static _varAttribute(t){return`attrib_${t}`}static _varAttribSize(t){return`attrib_size_${t}`}static _varArray(t){return`array_${t}`}varAttributeSize(t){return Xr._varAttribSize(t)}varArray(t){return Xr._varArray(t)}}const Yr={math_random:\\\\\\\"random\\\\\\\"},$r=Object.keys(sr),Jr={};[\\\\\\\"abs\\\\\\\",\\\\\\\"acos\\\\\\\",\\\\\\\"acosh\\\\\\\",\\\\\\\"asin\\\\\\\",\\\\\\\"asinh\\\\\\\",\\\\\\\"atan\\\\\\\",\\\\\\\"atan2\\\\\\\",\\\\\\\"atanh\\\\\\\",\\\\\\\"ceil\\\\\\\",\\\\\\\"cos\\\\\\\",\\\\\\\"cosh\\\\\\\",\\\\\\\"exp\\\\\\\",\\\\\\\"expm1\\\\\\\",\\\\\\\"floor\\\\\\\",\\\\\\\"log\\\\\\\",\\\\\\\"log1p\\\\\\\",\\\\\\\"log2\\\\\\\",\\\\\\\"log10\\\\\\\",\\\\\\\"max\\\\\\\",\\\\\\\"min\\\\\\\",\\\\\\\"pow\\\\\\\",\\\\\\\"round\\\\\\\",\\\\\\\"sign\\\\\\\",\\\\\\\"sin\\\\\\\",\\\\\\\"sinh\\\\\\\",\\\\\\\"sqrt\\\\\\\",\\\\\\\"tan\\\\\\\",\\\\\\\"tanh\\\\\\\"].forEach((t=>{Jr[t]=`Math.${t}`})),[\\\\\\\"cbrt\\\\\\\",\\\\\\\"hypot\\\\\\\",\\\\\\\"log10\\\\\\\",\\\\\\\"trunc\\\\\\\"].forEach((t=>{Jr[t]=`Math.${t}`})),Object.keys(Yr).forEach((t=>{const e=Yr[t];Jr[t]=`Math.${e}`})),[\\\\\\\"fit\\\\\\\",\\\\\\\"fit01\\\\\\\",\\\\\\\"fract\\\\\\\",\\\\\\\"deg2rad\\\\\\\",\\\\\\\"rad2deg\\\\\\\",\\\\\\\"rand\\\\\\\",\\\\\\\"clamp\\\\\\\"].forEach((t=>{Jr[t]=`Core.Math.${t}`})),$r.forEach((t=>{Jr[t]=`Core.Math.Easing.${t}`})),[\\\\\\\"precision\\\\\\\"].forEach((t=>{Jr[t]=`Core.String.${t}`}));const Zr={if:class{static if(t){return`(${t[0]}) ? (${t[1]}) : (${t[2]})`}}.if},Kr={};[\\\\\\\"E\\\\\\\",\\\\\\\"LN2\\\\\\\",\\\\\\\"LN10\\\\\\\",\\\\\\\"LOG10E\\\\\\\",\\\\\\\"LOG2E\\\\\\\",\\\\\\\"PI\\\\\\\",\\\\\\\"SQRT1_2\\\\\\\",\\\\\\\"SQRT2\\\\\\\"].forEach((t=>{Kr[t]=`Math.${t}`}));const Qr={x:0,y:1,z:2,w:3,r:0,g:1,b:2};class to extends qr{constructor(t){super(t),this.param=t,this._attribute_requirements_controller=new Xr,this.methods=[],this.method_index=-1,this.method_dependencies=[],this.immutable_dependencies=[]}parse_tree(t){if(this.reset(),null==t.error_message){try{if(this._attribute_requirements_controller=new Xr,t.node){const e=this.traverse_node(t.node);e&&!this.is_errored()&&(this.function_main_string=e)}else console.warn(\\\\\\\"no parsed_tree.node\\\\\\\")}catch(t){console.warn(`error in expression for param ${this.param.path()}`),console.warn(t)}if(this.function_main_string)try{const t=this._functionBody();this.function=new Function(\\\\\\\"Core\\\\\\\",\\\\\\\"param\\\\\\\",\\\\\\\"methods\\\\\\\",\\\\\\\"_set_error_from_error\\\\\\\",`\\\\n\\\\t\\\\t\\\\t\\\\t\\\\ttry {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t${t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t} catch(e) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t_set_error_from_error(e)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\treturn null;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t}`)}catch(t){console.warn(t),this.set_error(\\\\\\\"cannot generate function\\\\\\\")}else this.set_error(\\\\\\\"cannot generate function body\\\\\\\")}else this.set_error(\\\\\\\"cannot parse expression\\\\\\\")}reset(){super.reset(),this.function_main_string=void 0,this.methods=[],this.method_index=-1,this.function=void 0,this.method_dependencies=[],this.immutable_dependencies=[]}_functionBody(){return this.param.options.isExpressionForEntities()?`\\\\n\\\\t\\\\t\\\\tconst entities = param.expressionController.entities();\\\\n\\\\t\\\\t\\\\tif(entities){\\\\n\\\\t\\\\t\\\\t\\\\treturn new Promise( async (resolve, reject)=>{\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tlet entity;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tconst entity_callback = param.expressionController.entity_callback();\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t// assign_attributes_lines\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t${this._attribute_requirements_controller.assignAttributesLines()}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t// check if attributes are present\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tif( ${this._attribute_requirements_controller.attributePresenceCheckLine()} ){\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t// assign_arrays_lines\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t${this._attribute_requirements_controller.assignArraysLines()}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tfor(let index=0; index < entities.length; index++){\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tentity = entities[index];\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tresult = ${this.function_main_string};\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tentity_callback(entity, result);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tresolve()\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tconst error = new Error('attribute not found')\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t_set_error_from_error(error)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\treject(error)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t})\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\treturn []`:`\\\\n\\\\t\\\\t\\\\treturn new Promise( async (resolve, reject)=>{\\\\n\\\\t\\\\t\\\\t\\\\ttry {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tconst value = ${this.function_main_string}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tresolve(value)\\\\n\\\\t\\\\t\\\\t\\\\t} catch(e) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t_set_error_from_error(e)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\treject()\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t})\\\\n\\\\t\\\\t\\\\t`}evalAllowed(){return null!=this.function}evalFunction(){if(this.function){this.clear_error();const t={Math:or,String:ss};return this.function(t,this.param,this.methods,this._set_error_from_error_bound)}}traverse_CallExpression(t){const e=t.arguments.map((t=>this.traverse_node(t))),n=t.callee.name;if(n){const i=Zr[n];if(i)return i(e);const s=`${e.join(\\\\\\\", \\\\\\\")}`,r=Jr[n];if(r)return`${r}(${s})`;const o=li.expressionsRegister;if(o.getMethod(n)){const i=t.arguments[0],r=`return ${e[0]}`;let o,a=[];try{o=new Function(r),a=o()}catch{}return this._create_method_and_dependencies(n,a,i),`(await methods[${this.method_index}].processArguments([${s}]))`}{const t=`method not found (${n}), available methods are: ${o.availableMethods().join(\\\\\\\", \\\\\\\")}`;li.warn(t)}}this.set_error(`unknown method: ${n}`)}traverse_BinaryExpression(t){return`(${this.traverse_node(t.left)} ${t.operator} ${this.traverse_node(t.right)})`}traverse_LogicalExpression(t){return`(${this.traverse_node(t.left)} ${t.operator} ${this.traverse_node(t.right)})`}traverse_MemberExpression(t){return`${this.traverse_node(t.object)}.${this.traverse_node(t.property)}`}traverse_UnaryExpression(t){if(\\\\\\\"@\\\\\\\"===t.operator){let e,n,i=t.argument;switch(i.type){case\\\\\\\"Identifier\\\\\\\":e=i.name;break;case\\\\\\\"MemberExpression\\\\\\\":{const t=i,s=t.object,r=t.property;e=s.name,n=r.name;break}}if(e){if(e=Xs.remapName(e),\\\\\\\"ptnum\\\\\\\"==e)return\\\\\\\"((entity != null) ? entity.index() : 0)\\\\\\\";{const t=this._attribute_requirements_controller.varAttributeSize(e),i=this._attribute_requirements_controller.varArray(e);if(this._attribute_requirements_controller.add(e),n){return`${i}[entity.index()*${t}+${Qr[n]}]`}return`${i}[entity.index()*${t}]`}}return console.warn(\\\\\\\"attribute not found\\\\\\\"),\\\\\\\"\\\\\\\"}return`${t.operator}${this.traverse_node(t.argument)}`}traverse_Literal(t){return`${t.raw}`}traverse_Identifier(t){if(\\\\\\\"$\\\\\\\"!=t.name[0])return t.name;{const e=t.name.substr(1),n=Kr[e];if(n)return n;const i=`traverse_Identifier_${e}`;if(this[i])return this[i]();this.set_error(`identifier unknown: ${t.name}`)}}traverse_Identifier_F(){return this.immutable_dependencies.push(this.param.scene().timeController.graphNode),\\\\\\\"param.scene().timeController.frame()\\\\\\\"}traverse_Identifier_T(){return this.immutable_dependencies.push(this.param.scene().timeController.graphNode),\\\\\\\"param.scene().timeController.time()\\\\\\\"}traverse_Identifier_OS(){return`'${this.param.node.name()}'`}traverse_Identifier_CH(){return`'${this.param.name()}'`}traverse_Identifier_CEX(){return this._method_centroid(\\\\\\\"x\\\\\\\")}traverse_Identifier_CEY(){return this._method_centroid(\\\\\\\"y\\\\\\\")}traverse_Identifier_CEZ(){return this._method_centroid(\\\\\\\"z\\\\\\\")}_method_centroid(t){const e=[0,`'${t}'`].join(\\\\\\\", \\\\\\\");return this._create_method_and_dependencies(\\\\\\\"centroid\\\\\\\",0),`(await methods[${this.method_index}].processArguments([${e}]))`}_create_method_and_dependencies(t,e,n){const i=li.expressionsRegister,s=i.getMethod(t);if(!s){const e=`method not found (${t}), available methods are: ${i.availableMethods().join(\\\\\\\", \\\\\\\")}`;return this.set_error(e),void li.warn(e)}const r=new s(this.param);if(this.method_index+=1,this.methods[this.method_index]=r,r.require_dependency()){const t=r.findDependency(e);t?(n&&t.set_jsep_node(n),this.method_dependencies.push(t)):n&&m.isString(e)&&this.param.scene().missingExpressionReferencesController.register(this.param,e)}}}class eo extends qr{constructor(t){super(t),this.param=t}parse_tree(t){if(null==t.error_message&&t.node)try{return this.traverse_node(t.node)}catch(t){this.set_error(\\\\\\\"could not traverse tree\\\\\\\")}else this.set_error(\\\\\\\"cannot parse tree\\\\\\\")}traverse_CallExpression(t){const e=`${t.arguments.map((t=>this.traverse_node(t))).join(\\\\\\\", \\\\\\\")}`;return`${t.callee.name}(${e})`}traverse_UnaryExpression(t){return`${t.operator}${this.traverse_node(t.argument)}`}traverse_Identifier(t){return`${t.name}`}}class no{constructor(t){this.param=t,this.cyclic_graph_detected=!1,this.method_dependencies=[]}set_error(t){this.error_message=this.error_message||t}reset(){this.param.graphDisconnectPredecessors(),this.method_dependencies.forEach((t=>{t.reset()})),this.method_dependencies=[]}update(t){this.cyclic_graph_detected=!1,this.connect_immutable_dependencies(t),this.method_dependencies=t.method_dependencies,this.handle_method_dependencies(),this.listen_for_name_changes()}connect_immutable_dependencies(t){t.immutable_dependencies.forEach((t=>{if(0==this.cyclic_graph_detected&&0==this.param.addGraphInput(t))return this.cyclic_graph_detected=!0,this.set_error(\\\\\\\"cannot create expression, infinite graph detected\\\\\\\"),void this.reset()}))}handle_method_dependencies(){this.method_dependencies.forEach((t=>{0==this.cyclic_graph_detected&&this.handle_method_dependency(t)}))}handle_method_dependency(t){const e=t.resolved_graph_node;if(e&&!this.param.addGraphInput(e))return this.cyclic_graph_detected=!0,this.set_error(\\\\\\\"cannot create expression, infinite graph detected\\\\\\\"),void this.reset()}listen_for_name_changes(){this.method_dependencies.forEach((t=>{t.listen_for_name_changes()}))}}class io{constructor(t){this.param=t,this.parse_completed=!1,this.parse_started=!1,this.parsed_tree=new Wr,this._functionGenerator=new to(this.param),this.dependencies_controller=new no(this.param)}parseExpression(t){if(this.parse_started)throw new Error(`parse in progress for param ${this.param.path()}`);this.parse_started=!0,this.parse_completed=!1,this.parsed_tree=this.parsed_tree||new Wr,this.reset(),this.param.type()==Cr.STRING?this.parsed_tree.parse_expression_for_string_param(t):this.parsed_tree.parse_expression(t),this._functionGenerator.parse_tree(this.parsed_tree),null==this._functionGenerator.error_message()&&(this.dependencies_controller.update(this._functionGenerator),this.dependencies_controller.error_message?this.param.states.error.set(this.dependencies_controller.error_message):(this.parse_completed=!0,this.parse_started=!1))}async computeFunction(){if(!this._computeAllowed())return new Promise(((t,e)=>{t(null)}));try{return await this._functionGenerator.evalFunction()}catch(t){return}}reset(){this.parse_completed=!1,this.parse_started=!1,this.dependencies_controller.reset(),this._functionGenerator.reset()}is_errored(){return this._functionGenerator.is_errored()}error_message(){return this._functionGenerator.error_message()}_computeAllowed(){return this._functionGenerator.evalAllowed()}updateFromMethodDependencyNameChange(){this.expression_string_generator=this.expression_string_generator||new eo(this.param);const t=this.expression_string_generator.parse_tree(this.parsed_tree);t?this.param.set(t):console.warn(\\\\\\\"failed to regenerate expression\\\\\\\")}}class so{constructor(t){this.param=t}dispose(){this.param.scene().expressionsController.deregisterParam(this.param),this._resetMethodDependencies()}_resetMethodDependencies(){var t,e;null===(t=this._method_dependencies_by_graph_node_id)||void 0===t||t.forEach((t=>{t.dispose()})),null===(e=this._method_dependencies_by_graph_node_id)||void 0===e||e.clear()}registerMethodDependency(t){this._method_dependencies_by_graph_node_id=this._method_dependencies_by_graph_node_id||new Map,this._method_dependencies_by_graph_node_id.set(t.graphNodeId(),t)}active(){return null!=this._expression}expression(){return this._expression}is_errored(){return!!this._manager&&this._manager.is_errored()}error_message(){return this._manager?this._manager.error_message():null}requires_entities(){return this.param.options.isExpressionForEntities()}set_expression(t,e=!0){var n;this.param.scene().missingExpressionReferencesController.deregisterParam(this.param),this.param.scene().expressionsController.deregisterParam(this.param),this._expression!=t&&(this._resetMethodDependencies(),this._expression=t,this._expression?(this._manager=this._manager||new io(this.param),this._manager.parseExpression(this._expression)):null===(n=this._manager)||void 0===n||n.reset(),e&&this.param.setDirty())}updateFromMethodDependencyNameChange(){this._manager&&this.active()&&this._manager.updateFromMethodDependencyNameChange()}async computeExpression(){if(this._manager&&this.active()){return await this._manager.computeFunction()}}async computeExpressionForEntities(t,e){var n,i;this.set_entities(t,e),await this.computeExpression(),(null===(n=this._manager)||void 0===n?void 0:n.error_message())&&this.param.node.states.error.set(`expression evalution error: ${null===(i=this._manager)||void 0===i?void 0:i.error_message()}`),this.reset_entities()}computeExpressionForPoints(t,e){return this.computeExpressionForEntities(t,e)}computeExpressionForObjects(t,e){return this.computeExpressionForEntities(t,e)}entities(){return this._entities}entity_callback(){return this._entity_callback}set_entities(t,e){this._entities=t,this._entity_callback=e}reset_entities(){this._entities=void 0,this._entity_callback=void 0}}class ro extends Vr{isNumeric(){return!0}isDefault(){return this._raw_input==this._default_value}_prefilter_invalid_raw_input(t){return m.isArray(t)?t[0]:t}processRawInput(){this.states.error.clear();const t=this.convert(this._raw_input);null!=t?(this._expression_controller&&(this._expression_controller.set_expression(void 0,!1),this.emitController.emit(Nr.EXPRESSION_UPDATED)),t!=this._value&&(this._update_value(t),this.setSuccessorsDirty(this))):m.isString(this._raw_input)?(this._expression_controller=this._expression_controller||new so(this),this._raw_input!=this._expression_controller.expression()&&(this._expression_controller.set_expression(this._raw_input),this.emitController.emit(Nr.EXPRESSION_UPDATED))):this.states.error.set(`param input is invalid (${this.path()})`)}async processComputation(){var t;if((null===(t=this.expressionController)||void 0===t?void 0:t.active())&&!this.expressionController.requires_entities()){const t=await this.expressionController.computeExpression();if(this.expressionController.is_errored())this.states.error.set(`expression error: \\\\\\\"${this.expressionController.expression()}\\\\\\\" (${this.expressionController.error_message()})`);else{const e=this.convert(t);null!=e?(this.states.error.active()&&this.states.error.clear(),this._update_value(e)):this.states.error.set(`expression returns an invalid type (${t}) (${this.expressionController.expression()})`)}}}_update_value(t){this._value=t,this.parent_param&&this.parent_param.set_value_from_components(),this.options.executeCallback(),this.emitController.emit(Nr.VALUE_UPDATED),this.removeDirtyState()}}class oo extends ro{static type(){return Cr.FLOAT}defaultValueSerialized(){return this._default_value}rawInputSerialized(){return this._raw_input}valueSerialized(){return this.value}_copy_value(t){this.set(t.valueSerialized())}_prefilter_invalid_raw_input(t){return m.isArray(t)?t[0]:m.isString(t)&&ss.isNumber(t)?parseFloat(t):t}static are_raw_input_equal(t,e){return t==e}static are_values_equal(t,e){return t==e}static convert(t){if(m.isNumber(t))return t;if(m.isBoolean(t))return t?1:0;if(ss.isNumber(t)){const e=parseFloat(t);if(m.isNumber(e))return e}return null}convert(t){const e=oo.convert(t);return e?this.options.ensureInRange(e):e}}class ao extends Vr{constructor(){super(...arguments),this._components_contructor=oo}get components(){return this._components}isNumeric(){return!0}isDefault(){for(let t of this.components)if(!t.isDefault())return!1;return!0}rawInput(){return this._components.map((t=>t.rawInput()))}rawInputSerialized(){return this._components.map((t=>t.rawInputSerialized()))}_copy_value(t){for(let e=0;ee))}}processRawInput(){const t=this.scene().cooker;t.block();const e=this.components;for(let t of e)t.emitController.blockParentEmit();const n=this._raw_input;let i=0;if(m.isArray(n))for(let t=0;t linear\\\\\\\",t.LINEAR_TO_GAMMA=\\\\\\\"linear -> gamma\\\\\\\",t.SRGB_TO_LINEAR=\\\\\\\"sRGB -> linear\\\\\\\",t.LINEAR_TO_SRGB=\\\\\\\"linear -> sRGB\\\\\\\"}(lo||(lo={}));lo.NONE,lo.GAMMA_TO_LINEAR,lo.LINEAR_TO_GAMMA,lo.SRGB_TO_LINEAR,lo.LINEAR_TO_SRGB;class co{static set_hsv(t,e,n,i){t=Object(On.f)(t,1),e=Object(On.d)(e,0,1),n=Object(On.d)(n,0,1),i.setHSL(t,e*n/((t=(2-e)*n)<1?t:2-t),.5*t)}}const ho=[\\\\\\\"r\\\\\\\",\\\\\\\"g\\\\\\\",\\\\\\\"b\\\\\\\"];class uo extends ro{static type(){return Cr.INTEGER}defaultValueSerialized(){return this._default_value}rawInputSerialized(){return this._raw_input}valueSerialized(){return this.value}_copy_value(t){this.set(t.valueSerialized())}_prefilter_invalid_raw_input(t){return m.isArray(t)?t[0]:m.isString(t)&&ss.isNumber(t)?parseInt(t):t}static are_raw_input_equal(t,e){return t==e}static are_values_equal(t,e){return t==e}static convert(t){if(m.isNumber(t))return Math.round(t);if(m.isBoolean(t))return t?1:0;if(ss.isNumber(t)){const e=parseInt(t);if(m.isNumber(e))return e}return null}convert(t){const e=uo.convert(t);return e?this.options.ensureInRange(e):e}}class po{constructor(){this._index=-1,this._path_elements=[],this._named_nodes=[],this._graph_node_ids=[],this._node_element_by_graph_node_id=new Map}reset(){this._index=-1,this._path_elements=[],this._named_nodes=[],this._graph_node_ids=[],this._node_element_by_graph_node_id.clear()}add_node(t,e){this._index+=1,t==e.name()&&(this._named_nodes[this._index]=e),this._graph_node_ids[this._index]=e.graphNodeId(),this._node_element_by_graph_node_id.set(e.graphNodeId(),t)}add_path_element(t){this._index+=1,this._path_elements[this._index]=t}named_graph_nodes(){return this._named_nodes}named_nodes(){const t=[];for(let e of this._named_nodes)if(e){const n=e;n.nameController&&t.push(n)}return t}update_from_name_change(t){this._named_nodes.map((t=>null==t?void 0:t.graphNodeId())).includes(t.graphNodeId())&&this._node_element_by_graph_node_id.set(t.graphNodeId(),t.name())}to_path(){const t=new Array(this._index);for(let e=0;e<=this._index;e++){const n=this._named_nodes[e];if(n){const i=this._node_element_by_graph_node_id.get(n.graphNodeId());i&&(t[e]=i)}else{const n=this._path_elements[e];n&&(t[e]=n)}}let e=t.join(bi.SEPARATOR);const n=e[0];return n&&(bi.NON_LETTER_PREFIXES.includes(n)||(e=`${bi.SEPARATOR}${e}`)),e}}class _o extends Vr{constructor(){super(...arguments),this.decomposed_path=new po}_handleReferences(t,e){this.scene().referencesController.setNamedNodesFromParam(this),t?this.scene().referencesController.setReferenceFromParam(this,t):this.scene().missingExpressionReferencesController.register(this,e)}}var mo;!function(t){t.NODE=\\\\\\\"NODE\\\\\\\",t.PARAM=\\\\\\\"PARAM\\\\\\\"}(mo||(mo={}));class fo extends _o{constructor(){super(...arguments),this._found_node=null,this._found_node_with_expected_type=null,this._found_param=null,this._found_param_with_expected_type=null}static type(){return Cr.OPERATOR_PATH}defaultValueSerialized(){return this._default_value}rawInputSerialized(){return`${this._raw_input}`}valueSerialized(){return`${this.value}`}_copy_value(t){this.set(t.valueSerialized())}static are_raw_input_equal(t,e){return t==e}static are_values_equal(t,e){return t==e}isDefault(){return this._value==this._default_value}setNode(t){this.set(t.path())}processRawInput(){this._value!=this._raw_input&&(this._value=this._raw_input,this.setDirty(),this.emitController.emit(Nr.VALUE_UPDATED))}async processComputation(){this.find_target()}find_target(){if(!this.node)return;const t=this._value;let e=null,n=null;const i=null!=t&&\\\\\\\"\\\\\\\"!==t,s=this.options.paramSelectionOptions()?mo.PARAM:mo.NODE;this.scene().referencesController.resetReferenceFromParam(this),this.decomposed_path.reset(),i&&(s==mo.PARAM?n=bi.findParam(this.node,t,this.decomposed_path):e=bi.findNode(this.node,t,this.decomposed_path));const r=s==mo.PARAM?this._found_param:this._found_node,o=s==mo.PARAM?n:e;if(this._handleReferences(e,t),(null==r?void 0:r.graphNodeId())!==(null==o?void 0:o.graphNodeId())){const t=this.options.dependentOnFoundNode();this._found_node&&t&&this.removeGraphInput(this._found_node),s==mo.PARAM?(this._found_param=n,this._found_node=null):(this._found_node=e,this._found_param=null),e&&this._assign_found_node(e),n&&this._assign_found_param(n),this.options.executeCallback()}this.removeDirtyState()}_assign_found_node(t){const e=this.options.dependentOnFoundNode();this._is_node_expected_context(t)?this._is_node_expected_type(t)?(this._found_node_with_expected_type=t,e&&this.addGraphInput(t)):this.states.error.set(`node type is ${t.type()} but the params expects one of ${(this._expected_node_types()||[]).join(\\\\\\\", \\\\\\\")}`):this.states.error.set(`node context is ${t.context()} but the params expects a ${this._expected_context()}`)}_assign_found_param(t){this._is_param_expected_type(t)?this._found_param_with_expected_type=t:this.states.error.set(`param type is ${t.type()} but the params expects a ${this._expected_param_type()}`)}found_node(){return this._found_node}found_param(){return this._found_param}found_node_with_context(t){return this._found_node_with_expected_type}found_node_with_context_and_type(t,e){const n=this.found_node_with_context(t);if(n)if(m.isArray(e)){for(let t of e)if(n.type()==t)return n;this.states.error.set(`expected node type to be ${e.join(\\\\\\\", \\\\\\\")}, but was instead ${n.type()}`)}else{const t=e;if(n.type()==t)return n;this.states.error.set(`expected node type to be ${t}, but was instead ${n.type()}`)}}found_param_with_type(t){if(this._found_param_with_expected_type)return this._found_param_with_expected_type}found_node_with_expected_type(){return this._found_node_with_expected_type}_expected_context(){return this.options.nodeSelectionContext()}_is_node_expected_context(t){var e,n;const i=this._expected_context();if(null==i)return!0;return i==(null===(n=null===(e=t.parent())||void 0===e?void 0:e.childrenController)||void 0===n?void 0:n.context)}_expected_node_types(){return this.options.nodeSelectionTypes()}_expected_param_type(){return this.options.paramSelectionType()}_is_node_expected_type(t){const e=this._expected_node_types();return null==e||(null==e?void 0:e.includes(t.type()))}_is_param_expected_type(t){const e=this._expected_node_types();return null==e||e.includes(t.type())}notifyPathRebuildRequired(t){this.decomposed_path.update_from_name_change(t);const e=this.decomposed_path.to_path();this.set(e)}notifyTargetParamOwnerParamsUpdated(t){this.setDirty()}}var go,vo=n(34),yo=n(70);class xo{constructor(t=0,e=0){this._position=t,this._value=e}toJSON(){return{position:this._position,value:this._value}}position(){return this._position}value(){return this._value}copy(t){this._position=t.position(),this._value=t.value()}clone(){const t=new xo;return t.copy(this),t}isEqual(t){return this._position==t.position()&&this._value==t.value()}isEqualJSON(t){return this._position==t.position&&this._value==t.value}fromJSON(t){this._position=t.position,this._value=t.value}static areEqualJSON(t,e){return t.position==e.position&&t.value==e.value}static fromJSON(t){return new xo(t.position,t.value)}}!function(t){t.LINEAR=\\\\\\\"linear\\\\\\\"}(go||(go={}));class bo{constructor(t=go.LINEAR,e=[]){this._interpolation=t,this._points=e,this._uuid=Object(On.h)()}uuid(){return this._uuid}interpolation(){return this._interpolation}points(){return this._points}static fromJSON(t){const e=[];for(let n of t.points)e.push(xo.fromJSON(n));return new bo(t.interpolation,e)}toJSON(){return{interpolation:this._interpolation,points:this._points.map((t=>t.toJSON()))}}clone(){const t=new bo;return t.copy(this),t}copy(t){this._interpolation=t.interpolation();let e=0;for(let n of t.points()){const t=this._points[e];t?t.copy(n):this._points.push(n.clone()),e+=1}}is_equal(t){if(this._interpolation!=t.interpolation())return!1;const e=t.points();if(this._points.length!=e.length)return!1;let n=0;for(let t of this._points){const i=e[n];if(!t.isEqual(i))return!1;n+=1}return!0}is_equal_json(t){if(this._interpolation!=t.interpolation)return!1;if(this._points.length!=t.points.length)return!1;let e=0;for(let n of this._points){const i=t.points[e];if(!n.isEqualJSON(i))return!1;e+=1}return!0}static are_json_equal(t,e){if(t.interpolation!=e.interpolation)return!1;if(t.points.length!=e.points.length)return!1;let n=0;for(let i of t.points){const t=e.points[n];if(!xo.areEqualJSON(i,t))return!1;n+=1}return!0}from_json(t){this._interpolation=t.interpolation;let e=0;for(let n of t.points){const t=this._points[e];t?t.fromJSON(n):this._points.push(xo.fromJSON(n)),e+=1}}}const wo=1024,To=255;class Ao extends Vr{constructor(){super(...arguments),this._texture_data=new Uint8Array(3072),this._ramp_texture=new vo.a(this._texture_data,wo,1,w.ic)}static type(){return Cr.RAMP}defaultValueSerialized(){return this._default_value instanceof bo?this._default_value.toJSON():this._default_value}_clone_raw_input(t){return t instanceof bo?t.clone():bo.fromJSON(t).toJSON()}rawInputSerialized(){return this._raw_input instanceof bo?this._raw_input.toJSON():bo.fromJSON(this._raw_input).toJSON()}valueSerialized(){return this.value.toJSON()}_copy_value(t){this.set(t.valueSerialized())}static are_raw_input_equal(t,e){return t instanceof bo?e instanceof bo?t.is_equal(e):t.is_equal_json(e):e instanceof bo?e.is_equal_json(t):bo.are_json_equal(t,e)}static are_values_equal(t,e){return t.is_equal(e)}isDefault(){return this._default_value instanceof bo?this.value.is_equal(this._default_value):this.value.is_equal_json(this._default_value)}processRawInput(){this._raw_input instanceof bo?this._value?this._value.copy(this._raw_input):this._value=this._raw_input:this._value?this._value.from_json(this._raw_input):this._value=bo.fromJSON(this._raw_input),this._resetRampInterpolant(),this._updateRampTexture(),this.options.executeCallback(),this.emitController.emit(Nr.VALUE_UPDATED),this.setSuccessorsDirty(this)}hasExpression(){return!1}_resetRampInterpolant(){this._ramp_interpolant=void 0}rampTexture(){return this._ramp_texture}_updateRampTexture(){this._updateRampTextureData(),this.rampTexture().needsUpdate=!0}_updateRampTextureData(){let t=0,e=0,n=0;for(var i=0;i<1024;i++)t=3*i,e=i/wo,n=this.valueAtPosition(e),n<=0?(this._texture_data[t+0]=(Object(On.d)(n,-1,0)+1)*To,this._texture_data[t+1]=0,this._texture_data[t+2]=0):n<=1?(this._texture_data[t+0]=To,this._texture_data[t+1]=Object(On.d)(n,0,1)*To,this._texture_data[t+2]=0):(this._texture_data[t+0]=To,this._texture_data[t+1]=To,this._texture_data[t+2]=(Object(On.d)(n,1,2)-1)*To)}static createInterpolant(t,e){const n=new Float32Array(1);return new yo.a(t,e,1,n)}interpolant(){return this._ramp_interpolant=this._ramp_interpolant||this._createInterpolant()}_createInterpolant(){const t=this.value.points(),e=f.sortBy(t,(t=>t.position())),n=new Float32Array(e.length),i=new Float32Array(e.length);let s=0;for(let t of e)n[s]=t.position(),i[s]=t.value(),s++;return Ao.createInterpolant(n,i)}valueAtPosition(t){return this.interpolant().evaluate(t)[0]}}Ao.DEFAULT_VALUE=new bo(go.LINEAR,[new xo(0,0),new xo(1,1)]),Ao.DEFAULT_VALUE_JSON=Ao.DEFAULT_VALUE.toJSON();class Mo extends Vr{static type(){return Cr.STRING}defaultValueSerialized(){return this._default_value}_clone_raw_input(t){return`${t}`}rawInputSerialized(){return`${this._raw_input}`}valueSerialized(){return`${this.value}`}_copy_value(t){this.set(t.value)}static are_raw_input_equal(t,e){return t==e}static are_values_equal(t,e){return t==e}isDefault(){return this._raw_input==this._default_value}convert(t){return m.isString(t)?t:`${t}`}rawInput(){return this._raw_input}processRawInput(){this.states.error.clear(),this._value_elements(this._raw_input).length>=3?(this._expression_controller=this._expression_controller||new so(this),this._raw_input!=this._expression_controller.expression()&&(this._expression_controller.set_expression(this._raw_input),this.setDirty(),this.emitController.emit(Nr.EXPRESSION_UPDATED))):this._raw_input!=this._value&&(this._value=this._raw_input,this.removeDirtyState(),this.setSuccessorsDirty(this),this.emitController.emit(Nr.VALUE_UPDATED),this.options.executeCallback(),this._expression_controller&&(this._expression_controller.set_expression(void 0,!1),this.emitController.emit(Nr.EXPRESSION_UPDATED)))}async processComputation(){var t;if((null===(t=this.expressionController)||void 0===t?void 0:t.active())&&!this.expressionController.requires_entities()){const t=await this.expressionController.computeExpression();if(this.expressionController.is_errored())this.states.error.set(`expression error: ${this.expressionController.error_message()}`);else{const e=this.convert(t);null!=e?(this._value=e,this.emitController.emit(Nr.VALUE_UPDATED),this.options.executeCallback()):this.states.error.set(`expression returns an invalid type (${t})`),this.removeDirtyState()}}}_value_elements(t){return Wr.string_value_elements(t)}}const Eo=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\"];const So=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\"];const Co=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\",\\\\\\\"w\\\\\\\"];const No={[Cr.BOOLEAN]:class extends ro{static type(){return Cr.BOOLEAN}defaultValueSerialized(){return m.isString(this._default_value)?this._default_value:this.convert(this._default_value)||!1}rawInputSerialized(){return this._raw_input}valueSerialized(){return this.value}_copy_value(t){this.set(t.value)}static are_raw_input_equal(t,e){return t==e}static are_values_equal(t,e){return t==e}convert(t){if(m.isBoolean(t))return t;if(m.isNumber(t))return t>=1;if(m.isString(t)){if(ss.isBoolean(t))return ss.toBoolean(t);if(ss.isNumber(t)){return parseFloat(t)>=1}}return null}},[Cr.BUTTON]:class extends Vr{static type(){return Cr.BUTTON}defaultValueSerialized(){return this._default_value}rawInputSerialized(){return this._raw_input}valueSerialized(){return this.value}_copy_value(t){}static are_raw_input_equal(t,e){return!0}static are_values_equal(t,e){return!0}async pressButton(){(this.node.isDirty()||this.node.cookController.isCooking())&&await this.node.compute(),this.options.executeCallback()}},[Cr.COLOR]:class extends ao{constructor(){super(...arguments),this._value=new D.a,this._value_pre_conversion=new D.a,this._value_serialized_dirty=!1,this._value_serialized=[0,0,0],this._value_pre_conversion_serialized=[0,0,0],this._copied_value=[0,0,0]}static type(){return Cr.COLOR}componentNames(){return ho}defaultValueSerialized(){return m.isArray(this._default_value)?this._default_value:this._default_value.toArray()}valueSerialized(){return this._update_value_serialized_if_required(),this._value_serialized}valuePreConversionSerialized(){return this._update_value_serialized_if_required(),this._value_pre_conversion_serialized}_copy_value(t){t.value.toArray(this._copied_value),this.set(this._copied_value)}_clone_raw_input(t){if(t instanceof D.a)return t.clone();{const e=[t[0],t[1],t[2]];return null==e[0]&&(e[0]=e[0]||0),null==e[1]&&(e[1]=e[1]||e[0]),null==e[2]&&(e[2]=e[2]||e[1]),e}}static are_raw_input_equal(t,e){return t instanceof D.a?e instanceof D.a?t.equals(e):t.r==e[0]&&t.g==e[1]&&t.b==e[2]:e instanceof D.a?t[0]==e.r&&t[1]==e.g&&t[2]==e.b:t[0]==e[0]&&t[1]==e[1]&&t[2]==e[2]}static are_values_equal(t,e){return t.equals(e)}initComponents(){super.initComponents(),this.r=this.components[0],this.g=this.components[1],this.b=this.components[2],this._value_serialized_dirty=!0}_update_value_serialized_if_required(){this._value_serialized_dirty&&(this._value_serialized[0]=this._value.r,this._value_serialized[1]=this._value.g,this._value_serialized[2]=this._value.b,this._value_pre_conversion_serialized[0]=this._value_pre_conversion.r,this._value_pre_conversion_serialized[1]=this._value_pre_conversion.g,this._value_pre_conversion_serialized[2]=this._value_pre_conversion.b)}valuePreConversion(){return this._value_pre_conversion}set_value_from_components(){this._value_pre_conversion.r=this.r.value,this._value_pre_conversion.g=this.g.value,this._value_pre_conversion.b=this.b.value,this._value.copy(this._value_pre_conversion);const t=this.options.colorConversion();if(null!=t&&t!=lo.NONE){switch(t){case lo.GAMMA_TO_LINEAR:return void this._value.convertGammaToLinear();case lo.LINEAR_TO_GAMMA:return void this._value.convertLinearToGamma();case lo.SRGB_TO_LINEAR:return void this._value.convertSRGBToLinear();case lo.LINEAR_TO_SRGB:return void this._value.convertLinearToSRGB()}os.unreachable(t)}this._value_serialized_dirty=!0}},[Cr.FLOAT]:oo,[Cr.FOLDER]:class extends Vr{static type(){return Cr.FOLDER}defaultValueSerialized(){return this._default_value}rawInputSerialized(){return this._raw_input}valueSerialized(){return this.value}_copy_value(t){}static are_raw_input_equal(t,e){return!0}static are_values_equal(t,e){return!0}},[Cr.INTEGER]:uo,[Cr.OPERATOR_PATH]:fo,[Cr.PARAM_PATH]:class extends _o{static type(){return Cr.PARAM_PATH}initialize_param(){this._value=new xi}defaultValueSerialized(){return this._default_value}rawInputSerialized(){return`${this._raw_input}`}valueSerialized(){return`${this.value}`}_copy_value(t){this.set(t.valueSerialized())}static are_raw_input_equal(t,e){return t==e}static are_values_equal(t,e){return t==e}isDefault(){return this._raw_input==this._default_value}setParam(t){this.set(t.path())}processRawInput(){this._value.path()!=this._raw_input&&(this._value.set_path(this._raw_input),this.find_target(),this.setDirty(),this.emitController.emit(Nr.VALUE_UPDATED))}async processComputation(){this.find_target()}find_target(){if(!this.node)return;const t=this._raw_input;let e=null;const n=null!=t&&\\\\\\\"\\\\\\\"!==t;this.scene().referencesController.resetReferenceFromParam(this),this.decomposed_path.reset(),n&&(e=bi.findParam(this.node,t,this.decomposed_path));const i=this._value.param(),s=e;if(this._handleReferences(e,t),(null==i?void 0:i.graphNodeId())!==(null==s?void 0:s.graphNodeId())){const t=this.options.dependentOnFoundNode(),n=this._value.param();n&&t&&this.removeGraphInput(n),e?this._assign_found_node(e):this._value.set_param(null),this.options.executeCallback()}this.removeDirtyState()}_assign_found_node(t){const e=this.options.dependentOnFoundNode();this._value.set_param(t),e&&this.addGraphInput(t)}notifyPathRebuildRequired(t){this.decomposed_path.update_from_name_change(t);const e=this.decomposed_path.to_path();this.set(e)}notifyTargetParamOwnerParamsUpdated(t){this.setDirty()}},[Cr.NODE_PATH]:class extends _o{static type(){return Cr.NODE_PATH}initialize_param(){this._value=new yi}defaultValueSerialized(){return this._default_value}rawInputSerialized(){return`${this._raw_input}`}valueSerialized(){return`${this.value}`}_copy_value(t){this.set(t.valueSerialized())}static are_raw_input_equal(t,e){return t==e}static are_values_equal(t,e){return t==e}isDefault(){return this._raw_input==this._default_value}setNode(t){this.set(t.path())}processRawInput(){this._value.path()!=this._raw_input&&(this._value.set_path(this._raw_input),this._findTarget(),this.setDirty(),this.emitController.emit(Nr.VALUE_UPDATED))}async processComputation(){this._findTarget()}_findTarget(){if(!this.node)return;const t=this._raw_input;let e=null;const n=null!=t&&\\\\\\\"\\\\\\\"!==t;this.scene().referencesController.resetReferenceFromParam(this),this.decomposed_path.reset(),n&&(e=bi.findNode(this.node,t,this.decomposed_path));const i=this._value.node(),s=e;if(this._handleReferences(e,t),(null==i?void 0:i.graphNodeId())!==(null==s?void 0:s.graphNodeId())){const t=this.options.dependentOnFoundNode(),n=this._value.node();n&&t&&this.removeGraphInput(n),e?this._assign_found_node(e):this._value.set_node(null),this.options.executeCallback()}n&&!e&&this.scene().loadingController.loaded()&&n&&this.states.error.set(`no node found at path '${t}'`),this.removeDirtyState()}_assign_found_node(t){const e=this.options.dependentOnFoundNode();this._isNodeExpectedContext(t)?this._is_node_expected_type(t)?(this.states.error.clear(),this._value.set_node(t),e&&this.addGraphInput(t)):this.states.error.set(`node type is ${t.type()} but the params expects one of ${(this._expected_node_types()||[]).join(\\\\\\\", \\\\\\\")}`):this.states.error.set(`node context is ${t.context()} but the params expects a ${this._expectedContext()}`)}_expectedContext(){return this.options.nodeSelectionContext()}_isNodeExpectedContext(t){var e,n;const i=this._expectedContext();if(null==i)return!0;return i==(null===(n=null===(e=t.parent())||void 0===e?void 0:e.childrenController)||void 0===n?void 0:n.context)}_expected_node_types(){return this.options.nodeSelectionTypes()}_is_node_expected_type(t){const e=this._expected_node_types();return null==e||(null==e?void 0:e.includes(t.type()))}notifyPathRebuildRequired(t){this.decomposed_path.update_from_name_change(t);const e=this.decomposed_path.to_path();this.set(e)}notifyTargetParamOwnerParamsUpdated(t){this.setDirty()}},[Cr.RAMP]:Ao,[Cr.STRING]:Mo,[Cr.VECTOR2]:class extends ao{constructor(){super(...arguments),this._value=new d.a,this._copied_value=[0,0]}static type(){return Cr.VECTOR2}componentNames(){return Eo}defaultValueSerialized(){return m.isArray(this._default_value)?this._default_value:this._default_value.toArray()}valueSerialized(){return this.value.toArray()}_copy_value(t){t.value.toArray(this._copied_value),this.set(this._copied_value)}_clone_raw_input(t){if(t instanceof d.a)return t.clone();{const e=[t[0],t[1]];return null==e[0]&&(e[0]=e[0]||0),null==e[1]&&(e[1]=e[1]||e[0]),e}}static are_raw_input_equal(t,e){return t instanceof d.a?e instanceof d.a?t.equals(e):t.x==e[0]&&t.y==e[1]:e instanceof d.a?t[0]==e.x&&t[1]==e.y:t[0]==e[0]&&t[1]==e[1]}static are_values_equal(t,e){return t.equals(e)}initComponents(){super.initComponents(),this.x=this.components[0],this.y=this.components[1]}set_value_from_components(){this._value.x=this.x.value,this._value.y=this.y.value}},[Cr.VECTOR3]:class extends ao{constructor(){super(...arguments),this._value=new p.a,this._copied_value=[0,0,0]}static type(){return Cr.VECTOR3}componentNames(){return So}defaultValueSerialized(){return m.isArray(this._default_value)?this._default_value:this._default_value.toArray()}valueSerialized(){return this.value.toArray()}_copy_value(t){t.value.toArray(this._copied_value),this.set(this._copied_value)}_clone_raw_input(t){if(t instanceof p.a)return t.clone();{const e=[t[0],t[1],t[2]];return null==e[0]&&(e[0]=e[0]||0),null==e[1]&&(e[1]=e[1]||e[0]),null==e[2]&&(e[2]=e[2]||e[1]),e}}static are_raw_input_equal(t,e){return t instanceof p.a?e instanceof p.a?t.equals(e):t.x==e[0]&&t.y==e[1]&&t.z==e[2]:e instanceof p.a?t[0]==e.x&&t[1]==e.y&&t[2]==e.z:t[0]==e[0]&&t[1]==e[1]&&t[2]==e[2]}static are_values_equal(t,e){return t.equals(e)}initComponents(){super.initComponents(),this.x=this.components[0],this.y=this.components[1],this.z=this.components[2]}set_value_from_components(){this._value.x=this.x.value,this._value.y=this.y.value,this._value.z=this.z.value}},[Cr.VECTOR4]:class extends ao{constructor(){super(...arguments),this._value=new _.a,this._copied_value=[0,0,0,0]}static type(){return Cr.VECTOR4}componentNames(){return Co}defaultValueSerialized(){return m.isArray(this._default_value)?this._default_value:this._default_value.toArray()}valueSerialized(){return this.value.toArray()}_copy_value(t){t.value.toArray(this._copied_value),this.set(this._copied_value)}_clone_raw_input(t){if(t instanceof _.a)return t.clone();{const e=[t[0],t[1],t[2],t[3]];return null==e[0]&&(e[0]=e[0]||0),null==e[1]&&(e[1]=e[1]||e[0]),null==e[2]&&(e[2]=e[2]||e[1]),null==e[3]&&(e[3]=e[3]||e[2]),e}}static are_raw_input_equal(t,e){return t instanceof _.a?e instanceof _.a?t.equals(e):t.x==e[0]&&t.y==e[1]&&t.z==e[2]&&t.w==e[3]:e instanceof _.a?t[0]==e.x&&t[1]==e.y&&t[2]==e.z&&t[3]==e.w:t[0]==e[0]&&t[1]==e[1]&&t[2]==e[2]&&t[3]==e[3]}static are_values_equal(t,e){return t.equals(e)}initComponents(){super.initComponents(),this.x=this.components[0],this.y=this.components[1],this.z=this.components[2],this.w=this.components[3]}set_value_from_components(){this._value.x=this.x.value,this._value.y=this.y.value,this._value.z=this.z.value,this._value.w=this.w.value}}};class Lo{dispose(){this._callback=void 0}params(){return this._params}callback(){return this._callback}init(t,e){if(this._params=t,e)this._callback=e;else{const t=this._params[0];switch(t.type()){case Cr.STRING:return this._handle_string_param(t);case Cr.OPERATOR_PATH:return this._handle_operator_path_param(t);case Cr.NODE_PATH:return this._handle_node_path_param(t);case Cr.PARAM_PATH:return this._handle_param_path_param(t);case Cr.FLOAT:case Cr.INTEGER:return this._handle_number_param(t)}}}_handle_string_param(t){this._callback=()=>t.value}_handle_operator_path_param(t){this._callback=()=>t.value}_handle_node_path_param(t){this._callback=()=>t.value.path()}_handle_param_path_param(t){this._callback=()=>t.value.path()}_handle_number_param(t){this._callback=()=>`${t.value}`}}class Oo{constructor(t){this.node=t,this._param_create_mode=!1,this._params_created=!1,this._params_by_name={},this._params_list=[],this._param_names=[],this._non_spare_params=[],this._spare_params=[],this._non_spare_param_names=[],this._spare_param_names=[],this._params_added_since_last_params_eval=!1}get label(){return this._label_controller=this._label_controller||new Lo}hasLabelController(){return null!=this._label_controller}dispose(){var t;this._params_node&&this._params_node.dispose();for(let t of this.all)t.dispose();this._post_create_params_hook_names=void 0,this._post_create_params_hooks=void 0,this._on_scene_load_hooks=void 0,this._on_scene_load_hook_names=void 0,null===(t=this._label_controller)||void 0===t||t.dispose()}initDependencyNode(){this._params_node||(this._params_node=new Mi(this.node.scene(),\\\\\\\"params\\\\\\\"),this.node.addGraphInput(this._params_node,!1))}init(){this.initDependencyNode(),this._param_create_mode=!0,this._initFromParamsConfig(),this.node.createParams(),this._postCreateParams()}_postCreateParams(){this._updateCaches(),this._initParamAccessors(),this._param_create_mode=!1,this._params_created=!0,this._runPostCreateParamsHooks()}postCreateSpareParams(){this._updateCaches(),this._initParamAccessors(),this.node.scene().referencesController.notifyParamsUpdated(this.node),this.node.emit(Ei.PARAMS_UPDATED)}updateParams(t){let e=!1,n=!1;if(t.namesToDelete)for(let e of t.namesToDelete)this.has(e)&&(this._deleteParam(e),n=!0);if(t.toAdd)for(let n of t.toAdd){const t=this.addParam(n.type,n.name,n.init_value,n.options);t&&(null!=n.raw_input&&t.set(n.raw_input),e=!0)}(n||e)&&this.postCreateSpareParams()}_initFromParamsConfig(){const t=this.node.paramsConfig;let e=!1;if(t)for(let n of Object.keys(t)){const i=t[n];let s;this.node.params_init_value_overrides&&(s=this.node.params_init_value_overrides[n],e=!0),this.addParam(i.type,n,i.init_value,i.options,s)}e&&this.node.setDirty(),this.node.params_init_value_overrides=void 0}_initParamAccessors(){let t=Object.getOwnPropertyNames(this.node.pv);this._removeUnneededAccessors(t),t=Object.getOwnPropertyNames(this.node.pv);for(let e of this.all){const n=e.options.isSpare();(!t.includes(e.name())||n)&&(Object.defineProperty(this.node.pv,e.name(),{get:()=>e.value,configurable:n}),Object.defineProperty(this.node.p,e.name(),{get:()=>e,configurable:n}))}}_removeUnneededAccessors(t){const e=this._param_names,n=[];for(let i of t)e.includes(i)||n.push(i);for(let t of n)Object.defineProperty(this.node.pv,t,{get:()=>{},configurable:!0}),Object.defineProperty(this.node.p,t,{get:()=>{},configurable:!0})}get params_node(){return this._params_node}get all(){return this._params_list}get non_spare(){return this._non_spare_params}get spare(){return this._spare_params}get names(){return this._param_names}get non_spare_names(){return this._non_spare_param_names}get spare_names(){return this._spare_param_names}set_with_type(t,e,n){const i=this.param_with_type(t,n);i?i.set(e):li.warn(`param ${t} not found with type ${n}`)}set_float(t,e){this.set_with_type(t,e,Cr.FLOAT)}set_vector3(t,e){this.set_with_type(t,e,Cr.VECTOR3)}has_param(t){return null!=this._params_by_name[t]}has(t){return this.has_param(t)}get(t){return this.param(t)}param_with_type(t,e){const n=this.param(t);if(n&&n.type()==e)return n}get_float(t){return this.param_with_type(t,Cr.FLOAT)}get_operator_path(t){return this.param_with_type(t,Cr.OPERATOR_PATH)}value(t){var e;return null===(e=this.param(t))||void 0===e?void 0:e.value}value_with_type(t,e){var n;return null===(n=this.param_with_type(t,e))||void 0===n?void 0:n.value}boolean(t){return this.value_with_type(t,Cr.BOOLEAN)}float(t){return this.value_with_type(t,Cr.FLOAT)}integer(t){return this.value_with_type(t,Cr.INTEGER)}string(t){return this.value_with_type(t,Cr.STRING)}vector2(t){return this.value_with_type(t,Cr.VECTOR2)}vector3(t){return this.value_with_type(t,Cr.VECTOR3)}color(t){return this.value_with_type(t,Cr.COLOR)}param(t){const e=this._params_by_name[t];return null!=e?e:(li.warn(`tried to access param '${t}' in node ${this.node.path()}, but existing params are: ${this.names} on node ${this.node.path()}`),null)}_deleteParam(t){const e=this._params_by_name[t];if(!e)throw new Error(`param '${t}' does not exist on node ${this.node.path()}`);if(this._params_node&&this._params_node.removeGraphInput(this._params_by_name[t]),e._setupNodeDependencies(null),delete this._params_by_name[t],e.isMultiple()&&e.components)for(let t of e.components){const e=t.name();delete this._params_by_name[e]}}addParam(t,e,n,i={},s){const r=i.spare||!1;!1!==this._param_create_mode||r||li.warn(`node ${this.node.path()} (${this.node.type()}) param '${e}' cannot be created outside of create_params`),null==this.node.scene()&&li.warn(`node ${this.node.path()} (${this.node.type()}) has no scene assigned`);const o=No[t];if(null!=o){const a=this._params_by_name[e];a&&(r?a.type()!=t&&this._deleteParam(a.name()):li.warn(`a param named ${e} already exists`,this.node));const l=new o(this.node.scene(),this.node);if(l.options.set(i),l.setName(e),l.setInitValue(n),l.initComponents(),null==s)l.set(n);else if(l.options.isExpressionForEntities()&&l.set(n),null!=s.raw_input)l.set(s.raw_input);else if(null!=s.simple_data)l.set(s.simple_data);else if(null!=s.complex_data){const t=s.complex_data.raw_input;t?l.set(t):l.set(n);const e=s.complex_data.overriden_options;if(null!=e){const t=Object.keys(e);for(let n of t)l.options.setOption(n,e[n])}}if(l._setupNodeDependencies(this.node),this._params_by_name[l.name()]=l,l.isMultiple()&&l.components)for(let t of l.components)this._params_by_name[t.name()]=t;return this._params_added_since_last_params_eval=!0,l}}_updateCaches(){this._params_list=Object.values(this._params_by_name),this._param_names=Object.keys(this._params_by_name),this._non_spare_params=Object.values(this._params_by_name).filter((t=>!t.options.isSpare())),this._spare_params=Object.values(this._params_by_name).filter((t=>t.options.isSpare())),this._non_spare_param_names=Object.values(this._params_by_name).filter((t=>!t.options.isSpare())).map((t=>t.name())),this._spare_param_names=Object.values(this._params_by_name).filter((t=>t.options.isSpare())).map((t=>t.name()))}async _evalParam(t){t.isDirty()&&(await t.compute(),t.states.error.active()&&this.node.states.error.set(`param '${t.name()}' error: ${t.states.error.message()}`))}async evalParams(t){const e=[];for(let n of t)n.isDirty()&&e.push(this._evalParam(n));await Promise.all(e),this.node.states.error.active()&&this.node._setContainer(null)}paramsEvalRequired(){return null!=this._params_node&&(this._params_node.isDirty()||this._params_added_since_last_params_eval)}async evalAll(){var t;this.paramsEvalRequired()&&(await this.evalParams(this._params_list),null===(t=this._params_node)||void 0===t||t.removeDirtyState(),this._params_added_since_last_params_eval=!1)}onParamsCreated(t,e){if(this._params_created)e();else{if(this._post_create_params_hook_names&&this._post_create_params_hook_names.includes(t))return void li.error(`hook name ${t} already exists`);this._post_create_params_hook_names=this._post_create_params_hook_names||[],this._post_create_params_hook_names.push(t),this._post_create_params_hooks=this._post_create_params_hooks||[],this._post_create_params_hooks.push(e)}}addOnSceneLoadHook(t,e){this._on_scene_load_hook_names=this._on_scene_load_hook_names||[],this._on_scene_load_hooks=this._on_scene_load_hooks||[],this._on_scene_load_hook_names.includes(t)?li.warn(`hook with name ${t} already exists`,this.node):(this._on_scene_load_hook_names.push(t),this._on_scene_load_hooks.push(e))}_runPostCreateParamsHooks(){if(this._post_create_params_hooks)for(let t of this._post_create_params_hooks)t()}runOnSceneLoadHooks(){if(this._on_scene_load_hooks)for(let t of this._on_scene_load_hooks)t()}}class Po{constructor(){}}class Ro{constructor(t,e,n=0,i=0){if(this._node_src=t,this._node_dest=e,this._output_index=n,this._input_index=i,null==this._output_index)throw\\\\\\\"bad output index\\\\\\\";if(null==this._input_index)throw\\\\\\\"bad input index\\\\\\\";this._id=Ro._next_id++,this._node_src.io.connections&&this._node_dest.io.connections&&(this._node_src.io.connections.addOutputConnection(this),this._node_dest.io.connections.addInputConnection(this))}get id(){return this._id}get node_src(){return this._node_src}get node_dest(){return this._node_dest}get output_index(){return this._output_index}get input_index(){return this._input_index}src_connection_point(){const t=this._node_src,e=this._output_index;return t.io.outputs.namedOutputConnectionPoints()[e]}dest_connection_point(){const t=this._node_dest,e=this._input_index;return t.io.inputs.namedInputConnectionPoints()[e]}disconnect(t={}){this._node_src.io.connections&&this._node_dest.io.connections&&(this._node_src.io.connections.removeOutputConnection(this),this._node_dest.io.connections.removeInputConnection(this)),!0===t.setInput&&this._node_dest.io.inputs.setInput(this._input_index,null)}}Ro._next_id=0;class Io{constructor(t){this.inputs_controller=t,this._clone_required_states=[],this._overridden=!1,this.node=t.node}initInputsClonedState(t){m.isArray(t)?this._cloned_states=t:this._cloned_state=t,this._update_clone_required_state()}overrideClonedStateAllowed(){if(this._cloned_states)for(let t of this._cloned_states)if(t==Qi.FROM_NODE)return!0;return!!this._cloned_state&&this._cloned_state==Qi.FROM_NODE}cloneRequiredState(t){return this._clone_required_states[t]}cloneRequiredStates(){return this._clone_required_states}_get_clone_required_state(t){const e=this._cloned_states;if(e){const n=e[t];if(null!=n)return this.clone_required_from_state(n)}return!this._cloned_state||this.clone_required_from_state(this._cloned_state)}clone_required_from_state(t){switch(t){case Qi.ALWAYS:return!0;case Qi.NEVER:return!1;case Qi.FROM_NODE:return!this._overridden}return os.unreachable(t)}overrideClonedState(t){this._overridden=t,this._update_clone_required_state(),this.node.emit(Ei.OVERRIDE_CLONABLE_STATE_UPDATE),this.node.setDirty()}overriden(){return this._overridden}_update_clone_required_state(){if(this._cloned_states){const t=[];for(let e=0;e=t.length&&n.disconnect({setInput:!0});this._named_input_connection_points=t,this.setMinCount(0),this.setMaxCount(t.length),this._initGraphNodeInputs(),this.node.emit(Ei.NAMED_INPUTS_UPDATED)}hasNamedInputs(){return this._has_named_inputs}namedInputConnectionPoints(){return this._named_input_connection_points||[]}_initGraphNodeInputs(){for(let t=0;t0)for(let e=0;e0){const n=this.existing_input_indices();if(n.length0){const n=[];let i;for(let t=0;tt.name()));return void console.warn(`node ${e.path()} does not have an output named ${n}. inputs are: ${t.join(\\\\\\\", \\\\\\\")}`)}const r=this._graph_node_inputs[i];if(null==r){const t=`graph_input_node not found at index ${i}`;throw console.warn(t),new Error(t)}if(e&&this.node.parent()!=e.parent())return;const o=this._inputs[i];let a,l=null;this.node.io.connections&&(a=this.node.io.connections.inputConnection(i)),a&&(l=a.output_index),e===o&&s==l||(null!=o&&this._depends_on_inputs&&r.removeGraphInput(o),null!=e?r.addGraphInput(e)?(this._depends_on_inputs||r.removeGraphInput(e),a&&a.disconnect({setInput:!1}),this._inputs[i]=e,new Ro(e,this.node,s,i)):console.warn(`cannot connect ${e.path()} to ${this.node.path()}`):(this._inputs[i]=null,a&&a.disconnect({setInput:!1})),this._run_on_set_input_hooks(),r.setSuccessorsDirty(),this.node.emit(Ei.INPUTS_UPDATED))}remove_input(t){const e=this.inputs();let n;for(let i=0;i=0}has_input(t){return null!=this._inputs[t]}inputs(){return this._inputs}initInputsClonedState(t){this._cloned_states_controller||(this._cloned_states_controller=new Io(this),this._cloned_states_controller.initInputsClonedState(t))}overrideClonedStateAllowed(){var t;return(null===(t=this._cloned_states_controller)||void 0===t?void 0:t.overrideClonedStateAllowed())||!1}overrideClonedState(t){var e;null===(e=this._cloned_states_controller)||void 0===e||e.overrideClonedState(t)}clonedStateOverriden(){var t;return(null===(t=this._cloned_states_controller)||void 0===t?void 0:t.overriden())||!1}cloneRequired(t){var e;const n=null===(e=this._cloned_states_controller)||void 0===e?void 0:e.cloneRequiredState(t);return null==n||n}cloneRequiredStates(){var t;const e=null===(t=this._cloned_states_controller)||void 0===t?void 0:t.cloneRequiredStates();return null==e||e}add_on_set_input_hook(t,e){this._on_update_hooks=this._on_update_hooks||[],this._on_update_hook_names=this._on_update_hook_names||[],this._on_update_hook_names.includes(t)?console.warn(`hook with name ${t} already exists`,this.node):(this._on_update_hooks.push(e),this._on_update_hook_names.push(t))}_run_on_set_input_hooks(){if(this._on_update_hooks)for(let t of this._on_update_hooks)t()}}class Do{constructor(t){this.node=t,this._has_outputs=!1,this._has_named_outputs=!1}setHasOneOutput(){this._has_outputs=!0}setHasNoOutput(){this._has_outputs=!1}hasOutputs(){return this._has_outputs}hasNamedOutputs(){return this._has_named_outputs}hasNamedOutput(t){return this.getNamedOutputIndex(t)>=0}namedOutputConnectionPoints(){return this._named_output_connection_points||[]}namedOutputConnection(t){if(this._named_output_connection_points)return this._named_output_connection_points[t]}getNamedOutputIndex(t){var e;if(this._named_output_connection_points)for(let n=0;n=t.length&&e.disconnect({setInput:!0});this._named_output_connection_points=t,e&&this.node.scene()&&this.node.setDirty(this.node),this.node.emit(Ei.NAMED_OUTPUTS_UPDATED)}used_output_names(){var t;const e=this.node.io.connections;if(e){let n=e.outputConnections().map((t=>t?t.output_index:null));n=f.uniq(n);const i=[];n.forEach((t=>{m.isNumber(t)&&i.push(t)}));const s=[];for(let e of i){const n=null===(t=this.namedOutputConnectionPoints()[e])||void 0===t?void 0:t.name();n&&s.push(n)}return s}return[]}}class Bo{constructor(t){this._node=t,this._output_connections=new Map}initInputs(){const t=this._node.io.inputs.maxInputsCount();for(this._input_connections=this._input_connections||new Array(t);this._input_connections.length1&&void 0===t[t.length-1];)t.pop();return t}addOutputConnection(t){const e=t.output_index,n=t.id;let i=this._output_connections.get(e);i||(i=new Map,this._output_connections.set(e,i)),i.set(n,t)}removeOutputConnection(t){const e=t.output_index,n=t.id;let i=this._output_connections.get(e);i&&i.delete(n)}outputConnections(){let t=[];return this._output_connections.forEach(((e,n)=>{e.forEach(((e,n)=>{e&&t.push(e)}))})),t}}class zo{constructor(t){this._node=t}set_in(t){this._in=t}set_out(t){this._out=t}clear(){this._in=void 0,this._out=void 0}in(){return this._in}out(){return this._out}}class ko{constructor(t,e,n){this._name=t,this._type=e,this._init_value=n}get init_value(){return this._init_value}name(){return this._name}type(){return this._type}are_types_matched(t,e){return!0}toJSON(){return this._json=this._json||this._create_json()}_create_json(){return{name:this._name,type:this._type}}}var Uo;!function(t){t.BOOL=\\\\\\\"bool\\\\\\\",t.INT=\\\\\\\"int\\\\\\\",t.FLOAT=\\\\\\\"float\\\\\\\",t.VEC2=\\\\\\\"vec2\\\\\\\",t.VEC3=\\\\\\\"vec3\\\\\\\",t.VEC4=\\\\\\\"vec4\\\\\\\",t.SAMPLER_2D=\\\\\\\"sampler2D\\\\\\\",t.SSS_MODEL=\\\\\\\"SSSModel\\\\\\\"}(Uo||(Uo={}));const Go=[Uo.BOOL,Uo.INT,Uo.FLOAT,Uo.VEC2,Uo.VEC3,Uo.VEC4],Vo={[Uo.BOOL]:Cr.BOOLEAN,[Uo.INT]:Cr.INTEGER,[Uo.FLOAT]:Cr.FLOAT,[Uo.VEC2]:Cr.VECTOR2,[Uo.VEC3]:Cr.VECTOR3,[Uo.VEC4]:Cr.VECTOR4,[Uo.SAMPLER_2D]:Cr.RAMP,[Uo.SSS_MODEL]:Cr.STRING},Ho={[Cr.BOOLEAN]:Uo.BOOL,[Cr.COLOR]:Uo.VEC3,[Cr.INTEGER]:Uo.INT,[Cr.FLOAT]:Uo.FLOAT,[Cr.FOLDER]:void 0,[Cr.VECTOR2]:Uo.VEC2,[Cr.VECTOR3]:Uo.VEC3,[Cr.VECTOR4]:Uo.VEC4,[Cr.BUTTON]:void 0,[Cr.OPERATOR_PATH]:void 0,[Cr.PARAM_PATH]:void 0,[Cr.NODE_PATH]:void 0,[Cr.RAMP]:void 0,[Cr.STRING]:void 0},jo={[Uo.BOOL]:!1,[Uo.INT]:0,[Uo.FLOAT]:0,[Uo.VEC2]:[0,0],[Uo.VEC3]:[0,0,0],[Uo.VEC4]:[0,0,0,0],[Uo.SAMPLER_2D]:Ao.DEFAULT_VALUE_JSON,[Uo.SSS_MODEL]:\\\\\\\"SSSModel()\\\\\\\"},Wo={[Uo.BOOL]:1,[Uo.INT]:1,[Uo.FLOAT]:1,[Uo.VEC2]:2,[Uo.VEC3]:3,[Uo.VEC4]:4,[Uo.SAMPLER_2D]:1,[Uo.SSS_MODEL]:1};class qo extends ko{constructor(t,e,n){super(t,e),this._name=t,this._type=e,this._init_value=n,this._init_value=this._init_value||jo[this._type]}type(){return this._type}are_types_matched(t,e){return t==e}get param_type(){return Vo[this._type]}get init_value(){return this._init_value}toJSON(){return this._json=this._json||this._create_json()}_create_json(){return{name:this._name,type:this._type}}}var Xo;!function(t){t.BOOL=\\\\\\\"bool\\\\\\\",t.INT=\\\\\\\"int\\\\\\\",t.FLOAT=\\\\\\\"float\\\\\\\",t.VEC2=\\\\\\\"vec2\\\\\\\",t.VEC3=\\\\\\\"vec3\\\\\\\",t.VEC4=\\\\\\\"vec4\\\\\\\"}(Xo||(Xo={}));const Yo=[Xo.BOOL,Xo.INT,Xo.FLOAT,Xo.VEC2,Xo.VEC3,Xo.VEC4],$o={[Xo.BOOL]:Cr.BOOLEAN,[Xo.INT]:Cr.INTEGER,[Xo.FLOAT]:Cr.FLOAT,[Xo.VEC2]:Cr.VECTOR2,[Xo.VEC3]:Cr.VECTOR3,[Xo.VEC4]:Cr.VECTOR4},Jo={[Cr.BOOLEAN]:Xo.BOOL,[Cr.COLOR]:Xo.VEC3,[Cr.INTEGER]:Xo.INT,[Cr.FLOAT]:Xo.FLOAT,[Cr.FOLDER]:void 0,[Cr.VECTOR2]:Xo.VEC2,[Cr.VECTOR3]:Xo.VEC3,[Cr.VECTOR4]:Xo.VEC4,[Cr.BUTTON]:void 0,[Cr.OPERATOR_PATH]:void 0,[Cr.PARAM_PATH]:void 0,[Cr.NODE_PATH]:void 0,[Cr.RAMP]:void 0,[Cr.STRING]:void 0},Zo={[Xo.BOOL]:!1,[Xo.INT]:0,[Xo.FLOAT]:0,[Xo.VEC2]:[0,0],[Xo.VEC3]:[0,0,0],[Xo.VEC4]:[0,0,0,0]};Xo.BOOL,Xo.INT,Xo.FLOAT,Xo.VEC2,Xo.VEC3,Xo.VEC4;class Ko extends ko{constructor(t,e){super(t,e),this._name=t,this._type=e,this._init_value=Zo[this._type]}type(){return this._type}are_types_matched(t,e){return t==e}get param_type(){return $o[this._type]}get init_value(){return this._init_value}toJSON(){return this._json=this._json||this._create_json()}_create_json(){return{name:this._name,type:this._type}}}var Qo;!function(t){t.BASE=\\\\\\\"base\\\\\\\",t.DRAG=\\\\\\\"drag\\\\\\\",t.KEYBOARD=\\\\\\\"keyboard\\\\\\\",t.MOUSE=\\\\\\\"mouse\\\\\\\",t.POINTER=\\\\\\\"pointer\\\\\\\"}(Qo||(Qo={}));class ta extends ko{constructor(t,e,n){super(t,e),this._name=t,this._type=e,this._event_listener=n}type(){return this._type}get param_type(){return Cr.FLOAT}are_types_matched(t,e){return e==Qo.BASE||t==e}get event_listener(){return this._event_listener}toJSON(){return this._json=this._json||this._create_json()}_create_json(){return{name:this._name,type:this._type}}}const ea={[ts.ANIM]:void 0,[ts.COP]:void 0,[ts.EVENT]:Qo.BASE,[ts.GL]:Uo.FLOAT,[ts.JS]:Xo.FLOAT,[ts.MANAGER]:void 0,[ts.MAT]:void 0,[ts.OBJ]:void 0,[ts.POST]:void 0,[ts.ROP]:void 0,[ts.SOP]:void 0};function na(t,e,n){switch(t){case ts.EVENT:return new ta(e,n);case ts.GL:return new qo(e,n);case ts.JS:return new Ko(e,n);default:return}}class ia{constructor(t,e){this.node=t,this._context=e,this._raw_input_serialized_by_param_name=new Map,this._default_value_serialized_by_param_name=new Map,this._initialized=!1}initializeNode(){this._initialized?console.warn(\\\\\\\"already initialized\\\\\\\",this.node):(this._initialized=!0,this.node.params.onParamsCreated(\\\\\\\"create_inputs_from_params\\\\\\\",this.create_inputs_from_params.bind(this)))}initialized(){return this._initialized}create_inputs_from_params(){const t=function(t){switch(t){case ts.EVENT:return;case ts.GL:return Ho;case ts.JS:return Jo;default:return}}(this._context);if(!t)return;const e=[];for(let n of this.node.params.names){let i=!0;if(this._inputless_param_names&&this._inputless_param_names.length>0&&this._inputless_param_names.includes(n)&&(i=!1),i&&this.node.params.has(n)){const i=this.node.params.get(n);if(i&&!i.parent_param){const n=t[i.type()];if(n){const t=na(this._context,i.name(),n);t&&e.push(t)}}}}this.node.io.inputs.setNamedInputConnectionPoints(e)}set_inputless_param_names(t){return this._inputless_param_names=t}createSpareParameters(){if(this.node.scene().loadingController.isLoading())return;const t=this.node.params.spare_names,e={};for(let n of t)if(this.node.params.has(n)){const t=this.node.params.get(n);t&&(this._raw_input_serialized_by_param_name.set(n,t.rawInputSerialized()),this._default_value_serialized_by_param_name.set(n,t.defaultValueSerialized()),e.namesToDelete=e.namesToDelete||[],e.namesToDelete.push(n))}for(let t of this.node.io.inputs.namedInputConnectionPoints())if(t){const n=t.name(),i=t.param_type;let s=t.init_value;const r=this._default_value_serialized_by_param_name.get(n);let o=this.node.paramDefaultValue(n);if(s=null!=o?o:null!=r?r:t.init_value,m.isArray(t.init_value))if(m.isNumber(s)){const e=new Array(t.init_value.length);e.fill(s),s=e}else m.isArray(s)&&s.length==t.init_value.length&&null!=r&&(s=t.init_value);null!=s&&(e.toAdd=e.toAdd||[],e.toAdd.push({name:n,type:i,init_value:b.clone(s),raw_input:b.clone(s),options:{spare:!0}}))}this.node.params.updateParams(e);for(let t of this.node.params.spare)if(!t.parent_param){const e=this._raw_input_serialized_by_param_name.get(t.name());e&&t.set(e)}}}class sa{constructor(t,e){this.node=t,this._context=e,this._create_spare_params_from_inputs=!0,this._functions_overridden=!1,this._input_name_function=t=>`in${t}`,this._output_name_function=t=>0==t?\\\\\\\"val\\\\\\\":`val${t}`,this._expected_input_types_function=()=>{const t=this.first_input_connection_type()||this.default_connection_type();return[t,t]},this._expected_output_types_function=()=>[this._expected_input_types_function()[0]],this._update_signature_if_required_bound=this.update_signature_if_required.bind(this),this._initialized=!1,this._spare_params_controller=new ia(this.node,this._context)}default_connection_type(){return ea[this._context]}create_connection_point(t,e){return na(this._context,t,e)}functions_overridden(){return this._functions_overridden}initialized(){return this._initialized}set_create_spare_params_from_inputs(t){this._create_spare_params_from_inputs=t}set_input_name_function(t){this._initialize_if_required(),this._input_name_function=t}set_output_name_function(t){this._initialize_if_required(),this._output_name_function=t}set_expected_input_types_function(t){this._initialize_if_required(),this._functions_overridden=!0,this._expected_input_types_function=t}set_expected_output_types_function(t){this._initialize_if_required(),this._functions_overridden=!0,this._expected_output_types_function=t}input_name(t){return this._wrapped_input_name_function(t)}output_name(t){return this._wrapped_output_name_function(t)}initializeNode(){this._initialized?console.warn(\\\\\\\"already initialized\\\\\\\",this.node):(this._initialized=!0,this.node.io.inputs.add_on_set_input_hook(\\\\\\\"_update_signature_if_required\\\\\\\",this._update_signature_if_required_bound),this.node.params.addOnSceneLoadHook(\\\\\\\"_update_signature_if_required\\\\\\\",this._update_signature_if_required_bound),this.node.params.onParamsCreated(\\\\\\\"_update_signature_if_required_bound\\\\\\\",this._update_signature_if_required_bound),this.node.addPostDirtyHook(\\\\\\\"_update_signature_if_required\\\\\\\",this._update_signature_if_required_bound),this._spare_params_controller.initialized()||this._spare_params_controller.initializeNode())}_initialize_if_required(){this._initialized||this.initializeNode()}get spare_params(){return this._spare_params_controller}update_signature_if_required(t){this.node.lifecycle.creationCompleted()&&this._connections_match_inputs()||(this.update_connection_types(),this.node.removeDirtyState(),this.node.scene().loadingController.isLoading()||this.make_successors_update_signatures())}make_successors_update_signatures(){const t=this.node.graphAllSuccessors();if(this.node.childrenAllowed()){const e=this.node.nodesByType(ns.INPUT),n=this.node.nodesByType(ns.OUTPUT);for(let n of e)t.push(n);for(let e of n)t.push(e)}for(let e of t){const t=e;t.io&&t.io.has_connection_points_controller&&t.io.connection_points.initialized()&&t.io.connection_points.update_signature_if_required(this.node)}}update_connection_types(){const t=this._wrapped_expected_input_types_function(),e=this._wrapped_expected_output_types_function(),n=[];for(let e=0;enull==t?void 0:t.type())),e=this.node.io.outputs.namedOutputConnectionPoints().map((t=>null==t?void 0:t.type())),n=this._wrapped_expected_input_types_function(),i=this._wrapped_expected_output_types_function();if(n.length!=t.length)return!1;if(i.length!=e.length)return!1;for(let e=0;et.type))}return this._expected_input_types_function()}_wrapped_expected_output_types_function(){if(this.node.scene().loadingController.isLoading()){const t=this.node.io.saved_connection_points_data.out();if(t)return t.map((t=>t.type))}return this._expected_output_types_function()}_wrapped_input_name_function(t){if(this.node.scene().loadingController.isLoading()){const e=this.node.io.saved_connection_points_data.in();if(e)return e[t].name}return this._input_name_function(t)}_wrapped_output_name_function(t){if(this.node.scene().loadingController.isLoading()){const e=this.node.io.saved_connection_points_data.out();if(e)return e[t].name}return this._output_name_function(t)}first_input_connection_type(){return this.input_connection_type(0)}input_connection_type(t){const e=this.node.io.connections.inputConnections();if(e){const n=e[t];if(n)return n.src_connection_point().type()}}}class ra{constructor(t){this.node=t,this._connections=new Bo(this.node)}get connections(){return this._connections}get inputs(){return this._inputs=this._inputs||new Fo(this.node)}has_inputs(){return null!=this._inputs}get outputs(){return this._outputs=this._outputs||new Do(this.node)}has_outputs(){return null!=this._outputs}get connection_points(){return this._connection_points=this._connection_points||new sa(this.node,this.node.context())}get has_connection_points_controller(){return null!=this._connection_points}get saved_connection_points_data(){return this._saved_connection_points_data=this._saved_connection_points_data||new zo(this.node)}clear_saved_connection_points_data(){this._saved_connection_points_data&&(this._saved_connection_points_data.clear(),this._saved_connection_points_data=void 0)}}class oa{constructor(){}}class aa extends Mi{constructor(t,e=\\\\\\\"BaseNode\\\\\\\",n){super(t,e),this.params_init_value_overrides=n,this.containerController=new Tr(this),this.pv=new Po,this.p=new oa,this._initialized=!1}copy_param_values(t){const e=this.params.non_spare;for(let n of e){const e=t.params.get(n.name());e&&n.copy_value(e)}}get parentController(){return this._parent_controller=this._parent_controller||new qi(this)}static displayedInputNames(){return[]}get childrenControllerContext(){return this._children_controller_context}_create_children_controller(){if(this._children_controller_context)return new hs(this,this._children_controller_context)}get childrenController(){return this._children_controller=this._children_controller||this._create_children_controller()}childrenAllowed(){return null!=this._children_controller_context}get uiData(){return this._ui_data=this._ui_data||new Si(this)}get states(){return this._states=this._states||new ji(this)}get lifecycle(){return this._lifecycle=this._lifecycle||new us(this)}get serializer(){return this._serializer=this._serializer||new Sr(this)}get cookController(){return this._cook_controller=this._cook_controller||new Er(this)}get io(){return this._io=this._io||new ra(this)}get nameController(){return this._name_controller=this._name_controller||new Wi(this)}setName(t){this.nameController.setName(t)}_set_core_name(t){this._name=t}get params(){return this._params_controller=this._params_controller||new Oo(this)}initialize_base_and_node(){var t;this._initialized?console.warn(\\\\\\\"node already initialized\\\\\\\"):(this._initialized=!0,null===(t=this.displayNodeController)||void 0===t||t.initializeNode(),this.initializeBaseNode(),this.initializeNode(),this.polyNodeController&&this.polyNodeController.initializeNode())}initializeBaseNode(){}initializeNode(){}static type(){throw\\\\\\\"type to be overriden\\\\\\\"}type(){return this.constructor.type()}static context(){throw console.error(\\\\\\\"node has no node_context\\\\\\\",this),\\\\\\\"context requires override\\\\\\\"}context(){return this.constructor.context()}static require_webgl2(){return!1}require_webgl2(){return this.constructor.require_webgl2()}setParent(t){this.parentController.setParent(t)}parent(){return this.parentController.parent()}firstAncestorWithContext(t){return this.parentController.firstAncestorWithContext(t)}root(){return this._scene.root()}path(t){return this.parentController.path(t)}createParams(){}addParam(t,e,n,i){var s;return null===(s=this._params_controller)||void 0===s?void 0:s.addParam(t,e,n,i)}paramDefaultValue(t){return null}cook(t){return null}onCookEnd(t,e){this.cookController.registerOnCookEnd(t,e)}async compute(){var t,e;return this.isDirty()||(null===(e=null===(t=this.flags)||void 0===t?void 0:t.bypass)||void 0===e?void 0:e.active())?await this.containerController.compute():this.containerController.container()}_setContainer(t,e=null){this.containerController.container().set_content(t),null!=t&&(t.name||(t.name=this.path()),t.node||(t.node=this)),this.cookController.endCook(e)}createNode(t,e){var n;return null===(n=this.childrenController)||void 0===n?void 0:n.createNode(t,e)}create_operation_container(t,e,n){var i;return null===(i=this.childrenController)||void 0===i?void 0:i.create_operation_container(t,e,n)}removeNode(t){var e;null===(e=this.childrenController)||void 0===e||e.removeNode(t)}dispose(){var t,e;super.dispose(),this.setParent(null),this.io.inputs.dispose(),this.lifecycle.dispose(),null===(t=this.displayNodeController)||void 0===t||t.dispose(),this.nameController.dispose(),null===(e=this.childrenController)||void 0===e||e.dispose(),this.params.dispose()}children(){var t;return(null===(t=this.childrenController)||void 0===t?void 0:t.children())||[]}node(t){var e;return(null===(e=this.parentController)||void 0===e?void 0:e.findNode(t))||null}nodeSibbling(t){var e;const n=this.parent();if(n){const i=null===(e=n.childrenController)||void 0===e?void 0:e.childByName(t);if(i)return i}return null}nodesByType(t){var e;return(null===(e=this.childrenController)||void 0===e?void 0:e.nodesByType(t))||[]}setInput(t,e,n=0){this.io.inputs.setInput(t,e,n)}emit(t,e=null){this.scene().dispatchController.dispatch(this,t,e)}toJSON(t=!1){return this.serializer.toJSON(t)}async requiredModules(){}usedAssembler(){}integrationData(){}}class la extends aa{static context(){return ts.MANAGER}}class ca{constructor(t,e,n){this.type=t,this.init_value=e,this.options=n}}class ha{static BUTTON(t,e){return new ca(Cr.BUTTON,t,e)}static BOOLEAN(t,e){return new ca(Cr.BOOLEAN,t,e)}static COLOR(t,e){return t instanceof D.a&&(t=t.toArray()),new ca(Cr.COLOR,t,e)}static FLOAT(t,e){return new ca(Cr.FLOAT,t,e)}static FOLDER(t=null,e){return new ca(Cr.FOLDER,t,e)}static INTEGER(t,e){return new ca(Cr.INTEGER,t,e)}static RAMP(t=Ao.DEFAULT_VALUE,e){return new ca(Cr.RAMP,t,e)}static STRING(t=\\\\\\\"\\\\\\\",e){return new ca(Cr.STRING,t,e)}static VECTOR2(t,e){return t instanceof d.a&&(t=t.toArray()),new ca(Cr.VECTOR2,t,e)}static VECTOR3(t,e){return t instanceof p.a&&(t=t.toArray()),new ca(Cr.VECTOR3,t,e)}static VECTOR4(t,e){return t instanceof _.a&&(t=t.toArray()),new ca(Cr.VECTOR4,t,e)}static OPERATOR_PATH(t,e){return new ca(Cr.OPERATOR_PATH,t,e)}static NODE_PATH(t,e){return new ca(Cr.NODE_PATH,t,e)}static PARAM_PATH(t,e){return new ca(Cr.PARAM_PATH,t,e)}}class ua{}class da{constructor(t){this.scene=t}findObjectByMask(t){return this.findObjectByMaskInObject(t,this.scene.threejsScene())}findObjectByMaskInObject(t,e,n=\\\\\\\"\\\\\\\"){for(let i of e.children){const e=this._removeTrailingOrHeadingSlash(i.name),s=`${n=this._removeTrailingOrHeadingSlash(n)}/${e}`;if(ss.matchMask(s,t))return i;const r=this.findObjectByMaskInObject(t,i,s);if(r)return r}}objectsByMask(t){return this.objectsByMaskInObject(t,this.scene.threejsScene(),[],\\\\\\\"\\\\\\\")}objectsByMaskInObject(t,e,n=[],i=\\\\\\\"\\\\\\\"){for(let s of e.children){const e=this._removeTrailingOrHeadingSlash(s.name),r=`${i=this._removeTrailingOrHeadingSlash(i)}/${e}`;ss.matchMask(r,t)&&n.push(s),this.objectsByMaskInObject(t,s,n,r)}return n}_removeTrailingOrHeadingSlash(t){return\\\\\\\"/\\\\\\\"==t[0]&&(t=t.substr(1)),\\\\\\\"/\\\\\\\"==t[t.length-1]&&(t=t.substr(0,t.length-1)),t}}const pa={computeOnDirty:!1,callback:t=>{ma.update(t)}};function _a(t){return class extends t{constructor(){super(...arguments),this.autoUpdate=ha.BOOLEAN(1,pa)}}}_a(ua);class ma{constructor(t){this.node=t}async update(){const t=this.node.object,e=this.node.pv;e.autoUpdate!=t.autoUpdate&&(t.autoUpdate=e.autoUpdate)}static async update(t){t.sceneAutoUpdateController.update()}}var fa;!function(t){t.NONE=\\\\\\\"none\\\\\\\",t.COLOR=\\\\\\\"color\\\\\\\",t.TEXTURE=\\\\\\\"texture\\\\\\\"}(fa||(fa={}));const ga=[fa.NONE,fa.COLOR,fa.TEXTURE],va={computeOnDirty:!1,callback:t=>{xa.update(t)}};function ya(t){return class extends t{constructor(){super(...arguments),this.backgroundMode=ha.INTEGER(ga.indexOf(fa.NONE),{menu:{entries:ga.map(((t,e)=>({name:t,value:e})))},...va}),this.bgColor=ha.COLOR([0,0,0],{visibleIf:{backgroundMode:ga.indexOf(fa.COLOR)},...va}),this.bgTexture=ha.NODE_PATH(\\\\\\\"\\\\\\\",{visibleIf:{backgroundMode:ga.indexOf(fa.TEXTURE)},nodeSelection:{context:ts.COP},dependentOnFoundNode:!1,...va})}}}ya(ua);class xa{constructor(t){this.node=t}update(){const t=this.node.object,e=this.node.pv;if(e.backgroundMode==ga.indexOf(fa.NONE))t.background=null;else if(e.backgroundMode==ga.indexOf(fa.COLOR))t.background=e.bgColor;else{const n=e.bgTexture.nodeWithContext(ts.COP);n?n.compute().then((e=>{t.background=e.texture()})):this.node.states.error.set(\\\\\\\"bgTexture node not found\\\\\\\")}}static update(t){t.sceneBackgroundController.update()}}const ba={computeOnDirty:!1,callback:t=>{Ta.update(t)}};function wa(t){return class extends t{constructor(){super(...arguments),this.useEnvironment=ha.BOOLEAN(0,ba),this.environment=ha.NODE_PATH(\\\\\\\"\\\\\\\",{visibleIf:{useEnvironment:1},nodeSelection:{context:ts.COP},dependentOnFoundNode:!1,...ba})}}}wa(ua);class Ta{constructor(t){this.node=t}async update(){const t=this.node.object,e=this.node.pv;if(e.useEnvironment){const n=e.environment.nodeWithContext(ts.COP);n?n.compute().then((e=>{t.environment=e.texture()})):this.node.states.error.set(\\\\\\\"bgTexture node not found\\\\\\\")}else t.environment=null}static async update(t){t.sceneEnvController.update()}}class Aa{constructor(t,e=1,n=1e3){this.name=\\\\\\\"\\\\\\\",this.color=new D.a(t),this.near=e,this.far=n}clone(){return new Aa(this.color,this.near,this.far)}toJSON(){return{type:\\\\\\\"Fog\\\\\\\",color:this.color.getHex(),near:this.near,far:this.far}}}Aa.prototype.isFog=!0;class Ma{constructor(t,e=25e-5){this.name=\\\\\\\"\\\\\\\",this.color=new D.a(t),this.density=e}clone(){return new Ma(this.color,this.density)}toJSON(){return{type:\\\\\\\"FogExp2\\\\\\\",color:this.color.getHex(),density:this.density}}}Ma.prototype.isFogExp2=!0;const Ea={computeOnDirty:!1,callback:t=>{La.update(t)}};var Sa;!function(t){t.LINEAR=\\\\\\\"linear\\\\\\\",t.EXPONENTIAL=\\\\\\\"exponential\\\\\\\"}(Sa||(Sa={}));const Ca=[Sa.LINEAR,Sa.EXPONENTIAL];function Na(t){return class extends t{constructor(){super(...arguments),this.useFog=ha.BOOLEAN(0,Ea),this.fogType=ha.INTEGER(Ca.indexOf(Sa.EXPONENTIAL),{visibleIf:{useFog:1},menu:{entries:Ca.map(((t,e)=>({name:t,value:e})))},...Ea}),this.fogColor=ha.COLOR([1,1,1],{visibleIf:{useFog:1},...Ea}),this.fogNear=ha.FLOAT(1,{range:[0,100],rangeLocked:[!0,!1],visibleIf:{useFog:1,fogType:Ca.indexOf(Sa.LINEAR)},...Ea}),this.fogFar=ha.FLOAT(100,{range:[0,100],rangeLocked:[!0,!1],visibleIf:{useFog:1,fogType:Ca.indexOf(Sa.LINEAR)},...Ea}),this.fogDensity=ha.FLOAT(25e-5,{visibleIf:{useFog:1,fogType:Ca.indexOf(Sa.EXPONENTIAL)},...Ea})}}}Na(ua);class La{constructor(t){this.node=t}async update(){const t=this.node.object,e=this.node.pv;if(e.useFog)if(e.fogType==Ca.indexOf(Sa.LINEAR)){const n=this.fog2(e);t.fog=n,n.color=e.fogColor,n.near=e.fogNear,n.far=e.fogFar}else{const n=this.fogExp2(e);t.fog=this.fogExp2(e),n.color=e.fogColor,n.density=e.fogDensity}else{t.fog&&(t.fog=null)}}fog2(t){return this._fog=this._fog||new Aa(16777215,t.fogNear,t.fogFar)}fogExp2(t){return this._fogExp2=this._fogExp2||new Ma(16777215,t.fogDensity)}static async update(t){t.sceneFogController.update()}}const Oa={computeOnDirty:!1,callback:t=>{Ra.update(t)}};function Pa(t){return class extends t{constructor(){super(...arguments),this.useOverrideMaterial=ha.BOOLEAN(0,Oa),this.overrideMaterial=ha.NODE_PATH(\\\\\\\"\\\\\\\",{visibleIf:{useOverrideMaterial:1},nodeSelection:{context:ts.MAT},dependentOnFoundNode:!1,...Oa})}}}Pa(ua);class Ra{constructor(t){this.node=t}async update(){const t=this.node.object,e=this.node.pv;if(e.useOverrideMaterial){const n=e.overrideMaterial.nodeWithContext(ts.MAT);n?n.compute().then((e=>{t.overrideMaterial=e.material()})):this.node.states.error.set(\\\\\\\"bgTexture node not found\\\\\\\")}else t.overrideMaterial=null}static async update(t){t.SceneMaterialOverrideController.update()}}class Ia extends(Pa(wa(Na(ya(_a(ua)))))){}const Fa=new Ia;class Da extends la{constructor(){super(...arguments),this.paramsConfig=Fa,this._object=this._createScene(),this._queued_nodes_by_id=new Map,this.sceneAutoUpdateController=new ma(this),this.sceneBackgroundController=new xa(this),this.sceneEnvController=new Ta(this),this.sceneFogController=new La(this),this.sceneMaterialOverrideController=new Ra(this),this._children_controller_context=ts.OBJ}static type(){return\\\\\\\"obj\\\\\\\"}initializeNode(){this._object.matrixAutoUpdate=!1,this.lifecycle.add_on_child_add_hook(this._on_child_add.bind(this)),this.lifecycle.add_on_child_remove_hook(this._on_child_remove.bind(this))}_createScene(){const t=new vs;return t.name=\\\\\\\"/\\\\\\\",t.matrixAutoUpdate=!1,t}get object(){return this._object}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}_updateScene(){this.sceneAutoUpdateController.update(),this.sceneBackgroundController.update(),this.sceneEnvController.update(),this.sceneFogController.update(),this.sceneMaterialOverrideController.update()}_addToQueue(t){const e=t.graphNodeId();return this._queued_nodes_by_id.has(e)||this._queued_nodes_by_id.set(e,t),t}async processQueue(){this._updateScene();const t=new Map,e=[];this._queued_nodes_by_id.forEach(((n,i)=>{const s=`_____${n.renderOrder}__${n.path()}`;e.push(s),t.set(s,n)})),this._queued_nodes_by_id.clear();for(let n of e){const e=t.get(n);e&&(t.delete(n),this._addToScene(e))}}_update_object(t){return this.scene().loadingController.autoUpdating()?this._addToScene(t):this._addToQueue(t)}getParentForNode(t){if(t.attachableToHierarchy()){const e=t.io.inputs.input(0);return e?e.children_group:this._object}return null}_addToScene(t){var e;if(t.attachableToHierarchy()){const n=this.getParentForNode(t);n&&(t.usedInScene()?(null===(e=t.childrenDisplayController)||void 0===e||e.request_display_node_container(),t.addObjectToParent(n)):t.removeObjectFromParent())}}_removeFromScene(t){t.removeObjectFromParent()}areChildrenCooking(){const t=this.children();for(let e of t)if(e.cookController.isCooking()||e.isDisplayNodeCooking())return!0;return!1}addToParentTransform(t){this._update_object(t)}removeFromParentTransform(t){this._update_object(t)}_on_child_add(t){t&&this._update_object(t)}_on_child_remove(t){t&&this._removeFromScene(t)}}class Ba{constructor(t){this.scene=t,this._node_context_signatures={},this._instanciated_nodes_by_context_and_type={}}init(){this._root=new Da(this.scene),this._root.initialize_base_and_node(),this._root.params.init(),this._root._set_core_name(\\\\\\\"RootNode\\\\\\\")}root(){return this._root}_traverseNode(t,e){const n=t.children();if(n&&0!=n.length)for(let t of n)e(t),t.childrenController&&this._traverseNode(t,e)}clear(){var t;const e=this.root().children();for(let n of e)null===(t=this.root().childrenController)||void 0===t||t.removeNode(n)}node(t){return\\\\\\\"/\\\\\\\"===t?this.root():this.root().node(t)}allNodes(){let t=[this.root()],e=[this.root()],n=0;for(;e.length>0&&n<10;){const i=e.map((t=>t.childrenAllowed()?t.children():[])).flat();t=t.concat(i),e=i,n+=1}return t.flat()}nodesFromMask(t){const e=this.allNodes(),n=[];for(let i of e){const e=i.path();ss.matchMask(e,t)&&n.push(i)}return n}reset_node_context_signatures(){this._node_context_signatures={}}register_node_context_signature(t){t.childrenAllowed()&&t.childrenController&&(this._node_context_signatures[t.childrenController.node_context_signature()]=!0)}node_context_signatures(){return Object.keys(this._node_context_signatures).sort().map((t=>t.toLowerCase()))}addToInstanciatedNode(t){const e=t.context(),n=t.type();this._instanciated_nodes_by_context_and_type[e]=this._instanciated_nodes_by_context_and_type[e]||{},this._instanciated_nodes_by_context_and_type[e][n]=this._instanciated_nodes_by_context_and_type[e][n]||{},this._instanciated_nodes_by_context_and_type[e][n][t.graphNodeId()]=t}removeFromInstanciatedNode(t){const e=t.context(),n=t.type();delete this._instanciated_nodes_by_context_and_type[e][n][t.graphNodeId()]}nodesByType(t){const e=[];return this._traverseNode(this.scene.root(),(n=>{n.type()==t&&e.push(n)})),e}nodesByContextAndType(t,e){const n=[],i=this._instanciated_nodes_by_context_and_type[t];if(i){const t=i[e];if(t)for(let e of Object.keys(t))n.push(t[e])}return n}}class za{constructor(t){this.scene=t}toJSON(t=!1){const e={},n={};for(let i of this.scene.nodesController.allNodes()){const s=new Sr(i);e[i.graphNodeId()]=s.toJSON(t);const r=i.params.all;for(let t of r)n[t.graphNodeId()]=t.toJSON()}return{nodes_by_graph_node_id:e,params_by_graph_node_id:n}}}var ka;!function(t){t.auxclick=\\\\\\\"auxclick\\\\\\\",t.click=\\\\\\\"click\\\\\\\",t.contextmenu=\\\\\\\"contextmenu\\\\\\\",t.dblclick=\\\\\\\"dblclick\\\\\\\",t.mousedown=\\\\\\\"mousedown\\\\\\\",t.mouseenter=\\\\\\\"mouseenter\\\\\\\",t.mouseleave=\\\\\\\"mouseleave\\\\\\\",t.mousemove=\\\\\\\"mousemove\\\\\\\",t.mouseover=\\\\\\\"mouseover\\\\\\\",t.mouseout=\\\\\\\"mouseout\\\\\\\",t.mouseup=\\\\\\\"mouseup\\\\\\\",t.pointerlockchange=\\\\\\\"pointerlockchange\\\\\\\",t.pointerlockerror=\\\\\\\"pointerlockerror\\\\\\\",t.select=\\\\\\\"select\\\\\\\",t.wheel=\\\\\\\"wheel\\\\\\\"}(ka||(ka={}));const Ua=[ka.auxclick,ka.click,ka.contextmenu,ka.dblclick,ka.mousedown,ka.mouseenter,ka.mouseleave,ka.mousemove,ka.mouseover,ka.mouseout,ka.mouseup,ka.pointerlockchange,ka.pointerlockerror,ka.select,ka.wheel];class Ga extends pi{constructor(){super(...arguments),this._require_canvas_event_listeners=!0}type(){return\\\\\\\"mouse\\\\\\\"}acceptedEventTypes(){return Ua.map((t=>`${t}`))}}class Va extends aa{constructor(){super(...arguments),this._cook_without_inputs_bound=this._cook_without_inputs.bind(this)}static context(){return ts.EVENT}initializeBaseNode(){this.uiData.setLayoutHorizontal(),this.addPostDirtyHook(\\\\\\\"cook_without_inputs_on_dirty\\\\\\\",this._cook_without_inputs_bound),this.io.inputs.set_depends_on_inputs(!1),this.io.connections.initInputs(),this.io.connection_points.spare_params.initializeNode()}_cook_without_inputs(){this.cookController.cookMainWithoutInputs()}cook(){this.cookController.endCook()}processEventViaConnectionPoint(t,e){e.event_listener?e.event_listener(t):this.processEvent(t)}processEvent(t){}async dispatchEventToOutput(t,e){this.run_on_dispatch_hook(t,e);const n=this.io.outputs.getOutputIndex(t);if(n>=0){const t=this.io.connections.outputConnections().filter((t=>t.output_index==n));let i;for(let n of t){i=n.node_dest;const t=i.io.inputs.namedInputConnectionPoints()[n.input_index];i.processEventViaConnectionPoint(e,t)}}else console.warn(`requested output '${t}' does not exist on node '${this.path()}'`)}onDispatch(t,e){this._on_dispatch_hooks_by_output_name=this._on_dispatch_hooks_by_output_name||new Map,h.pushOnArrayAtEntry(this._on_dispatch_hooks_by_output_name,t,e)}run_on_dispatch_hook(t,e){if(this._on_dispatch_hooks_by_output_name){const n=this._on_dispatch_hooks_by_output_name.get(t);if(n)for(let t of n)t(e)}}}var Ha;!function(t){t.CANVAS=\\\\\\\"canvas\\\\\\\",t.DOCUMENT=\\\\\\\"document\\\\\\\"}(Ha||(Ha={}));const ja=[Ha.CANVAS,Ha.DOCUMENT];class Wa{constructor(t){this.viewer=t,this._bound_listener_map_by_event_controller_type=new Map}updateEvents(t){const e=this.canvas();if(!e)return;const n=t.type();let i=this._bound_listener_map_by_event_controller_type.get(n);i||(i=new Map,this._bound_listener_map_by_event_controller_type.set(n,i)),i.forEach(((t,n)=>{this._eventOwner(t.data,e).removeEventListener(n,t.listener)})),i.clear();const s=e=>{this.processEvent(e,t)};for(let n of t.activeEventDatas()){this._eventOwner(n,e).addEventListener(n.type,s),i.set(n.type,{listener:s,data:n})}}_eventOwner(t,e){return\\\\\\\"resize\\\\\\\"==t.type?window:t.emitter==Ha.CANVAS?e:document}cameraNode(){return this.viewer.camerasController.cameraNode()}canvas(){return this.viewer.canvas()}init(){this.canvas&&this.viewer.scene().eventsDispatcher.traverseControllers((t=>{this.updateEvents(t)}))}registeredEventTypes(){const t=[];return this._bound_listener_map_by_event_controller_type.forEach((e=>{e.forEach(((e,n)=>{t.push(n)}))})),t}dispose(){const t=this.canvas();this._bound_listener_map_by_event_controller_type.forEach((e=>{t&&e.forEach(((e,n)=>{this._eventOwner(e.data,t).removeEventListener(n,e.listener)}))}))}processEvent(t,e){if(!this.canvas())return;const n={viewer:this.viewer,event:t,cameraNode:this.cameraNode()};e.processEvent(n)}}const qa={visibleIf:{active:1},callback:t=>{Ya.PARAM_CALLBACK_updateRegister(t)}};class Xa extends Va{constructor(){super(...arguments),this._activeEventDatas=[]}initializeBaseNode(){super.initializeBaseNode();this.lifecycle.add_on_add_hook((()=>{this.scene().eventsDispatcher.registerEventNode(this)})),this.lifecycle.add_delete_hook((()=>{this.scene().eventsDispatcher.unregisterEventNode(this)})),this.params.onParamsCreated(\\\\\\\"update_register\\\\\\\",(()=>{this._updateRegister()}))}processEvent(t){this.pv.active&&t.event&&this.dispatchEventToOutput(t.event.type,t)}static PARAM_CALLBACK_updateRegister(t){t._updateRegister()}_updateRegister(){this._updateActiveEventDatas(),this.scene().eventsDispatcher.updateViewerEventListeners(this)}_updateActiveEventDatas(){if(this._activeEventDatas=[],this.pv.active){const t=this.acceptedEventTypes();for(let e of t){const t=this.params.get(e);t&&t.value&&this._activeEventDatas.push({type:e,emitter:ja[this.pv.element]})}}}activeEventDatas(){return this._activeEventDatas}}class Ya extends Xa{acceptedEventTypes(){return[]}}const $a=new class extends ua{constructor(){super(...arguments),this.active=ha.BOOLEAN(!0,{callback:t=>{Ja.PARAM_CALLBACK_updateRegister(t)},separatorAfter:!0}),this.element=ha.INTEGER(ja.indexOf(Ha.CANVAS),{menu:{entries:ja.map(((t,e)=>({name:t,value:e})))},separatorAfter:!0}),this.auxclick=ha.BOOLEAN(0,qa),this.click=ha.BOOLEAN(0,qa),this.contextmenu=ha.BOOLEAN(0,qa),this.dblclick=ha.BOOLEAN(0,qa),this.mousedown=ha.BOOLEAN(1,qa),this.mouseenter=ha.BOOLEAN(0,qa),this.mouseleave=ha.BOOLEAN(0,qa),this.mousemove=ha.BOOLEAN(1,qa),this.mouseover=ha.BOOLEAN(0,qa),this.mouseout=ha.BOOLEAN(0,qa),this.mouseup=ha.BOOLEAN(1,qa),this.pointerlockchange=ha.BOOLEAN(0,qa),this.pointerlockerror=ha.BOOLEAN(0,qa),this.select=ha.BOOLEAN(0,qa),this.wheel=ha.BOOLEAN(0,qa),this.ctrlKey=ha.BOOLEAN(0,{...qa,separatorBefore:!0}),this.altKey=ha.BOOLEAN(0,qa),this.shiftKey=ha.BOOLEAN(0,qa),this.metaKey=ha.BOOLEAN(0,qa)}};class Ja extends Xa{constructor(){super(...arguments),this.paramsConfig=$a}static type(){return\\\\\\\"mouse\\\\\\\"}acceptedEventTypes(){return Ua.map((t=>`${t}`))}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints(Ua.map((t=>new ta(t,Qo.MOUSE)))),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{const t=[this.p.auxclick,this.p.click,this.p.dblclick,this.p.mousedown,this.p.mouseenter,this.p.mouseleave,this.p.mousemove,this.p.mouseout,this.p.mouseout,this.p.mouseup,this.p.pointerlockchange,this.p.pointerlockerror,this.p.select,this.p.wheel];this.params.label.init(t,(()=>t.map((t=>t.value?t.name():void 0)).filter((t=>t)).join(\\\\\\\", \\\\\\\")))}))}))}processEvent(t){if(!this.pv.active)return;if(!t.event)return;const e=t.event;e.ctrlKey==this.pv.ctrlKey&&e.shiftKey==this.pv.shiftKey&&e.altKey==this.pv.altKey&&e.metaKey==this.pv.metaKey&&this.dispatchEventToOutput(t.event.type,t)}}var Za;!function(t){t.pointerdown=\\\\\\\"pointerdown\\\\\\\",t.pointermove=\\\\\\\"pointermove\\\\\\\",t.pointerup=\\\\\\\"pointerup\\\\\\\"}(Za||(Za={}));const Ka=[Za.pointerdown,Za.pointermove,Za.pointerup];class Qa extends pi{constructor(){super(...arguments),this._require_canvas_event_listeners=!0}type(){return\\\\\\\"pointer\\\\\\\"}acceptedEventTypes(){return Ka.map((t=>`${t}`))}}const tl=new class extends ua{constructor(){super(...arguments),this.active=ha.BOOLEAN(!0,{callback:t=>{el.PARAM_CALLBACK_updateRegister(t)},separatorAfter:!0}),this.element=ha.INTEGER(ja.indexOf(Ha.CANVAS),{menu:{entries:ja.map(((t,e)=>({name:t,value:e})))},separatorAfter:!0}),this.pointerdown=ha.BOOLEAN(1,qa),this.pointermove=ha.BOOLEAN(0,qa),this.pointerup=ha.BOOLEAN(0,qa),this.ctrlKey=ha.BOOLEAN(0,{...qa,separatorBefore:!0}),this.altKey=ha.BOOLEAN(0,qa),this.shiftKey=ha.BOOLEAN(0,qa),this.metaKey=ha.BOOLEAN(0,qa)}};class el extends Xa{constructor(){super(...arguments),this.paramsConfig=tl}static type(){return\\\\\\\"pointer\\\\\\\"}acceptedEventTypes(){return Ka.map((t=>`${t}`))}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints(Ka.map((t=>new ta(t,Qo.POINTER)))),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{const t=[this.p.pointerdown,this.p.pointermove,this.p.pointerup];this.params.label.init(t,(()=>t.map((t=>t.value?t.name():void 0)).filter((t=>t)).join(\\\\\\\", \\\\\\\")))}))}))}processEvent(t){if(!this.pv.active)return;if(!t.event)return;const e=t.event;e.ctrlKey==this.pv.ctrlKey&&e.shiftKey==this.pv.shiftKey&&e.altKey==this.pv.altKey&&e.metaKey==this.pv.metaKey&&this.dispatchEventToOutput(t.event.type,t)}}var nl,il;!function(t){t.SET_FRAME=\\\\\\\"setFrame\\\\\\\"}(nl||(nl={})),function(t){t.TIME_REACHED=\\\\\\\"timeReached\\\\\\\"}(il||(il={}));const sl=new class extends ua{constructor(){super(...arguments),this.active=ha.BOOLEAN(!0,{callback:(t,e)=>{rl.PARAM_CALLBACK_updateRegister(t)},separatorAfter:!0}),this.element=ha.INTEGER(0,{hidden:!0}),this.sceneLoaded=ha.BOOLEAN(1,qa),this.play=ha.BOOLEAN(1,qa),this.pause=ha.BOOLEAN(1,qa),this.tick=ha.BOOLEAN(1,{separatorAfter:!0,...qa}),this.treachedTime=ha.BOOLEAN(0,{callback:t=>{rl.PARAM_CALLBACK_update_time_dependency(t)}}),this.reachedTime=ha.INTEGER(10,{visibleIf:{treachedTime:1},range:[0,100],separatorAfter:!0}),this.setFrameValue=ha.INTEGER(1,{range:[0,100]}),this.setFrame=ha.BUTTON(null,{callback:t=>{rl.PARAM_CALLBACK_setFrame(t)}})}};class rl extends Xa{constructor(){super(...arguments),this.paramsConfig=sl}static type(){return\\\\\\\"scene\\\\\\\"}acceptedEventTypes(){return mi.map((t=>`${t}`))}dispose(){var t;null===(t=this.graph_node)||void 0===t||t.dispose(),super.dispose()}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(nl.SET_FRAME,Qo.BASE,this._onSetFrame.bind(this)),new ta(_i.PLAY,Qo.BASE,this._play.bind(this)),new ta(_i.PAUSE,Qo.BASE,this._pause.bind(this))]);const t=mi.map((t=>new ta(t,Qo.BASE)));t.push(new ta(il.TIME_REACHED,Qo.BASE)),this.io.outputs.setNamedOutputConnectionPoints(t),this.params.onParamsCreated(\\\\\\\"update_time_dependency\\\\\\\",(()=>{this.update_time_dependency()}))}_onSetFrame(t){this.scene().setFrame(this.pv.setFrameValue)}_play(t){this.scene().play()}_pause(t){this.scene().pause()}_onFrameUpdate(){this.scene().time()>=this.pv.reachedTime&&this.dispatchEventToOutput(il.TIME_REACHED,{})}update_time_dependency(){this.pv.treachedTime?(this.graph_node=this.graph_node||new Mi(this.scene(),\\\\\\\"scene_node_time_graph_node\\\\\\\"),this.graph_node.addGraphInput(this.scene().timeController.graphNode),this.graph_node.addPostDirtyHook(\\\\\\\"time_update\\\\\\\",this._onFrameUpdate.bind(this))):this.graph_node&&this.graph_node.graphDisconnectPredecessors()}static PARAM_CALLBACK_setFrame(t){t._onSetFrame({})}static PARAM_CALLBACK_update_time_dependency(t){t.update_time_dependency()}}var ol;!function(t){t.keydown=\\\\\\\"keydown\\\\\\\",t.keypress=\\\\\\\"keypress\\\\\\\",t.keyup=\\\\\\\"keyup\\\\\\\"}(ol||(ol={}));const al=[ol.keydown,ol.keypress,ol.keyup];class ll extends pi{constructor(){super(...arguments),this._require_canvas_event_listeners=!0}type(){return\\\\\\\"keyboard\\\\\\\"}acceptedEventTypes(){return al.map((t=>`${t}`))}}const cl=new class extends ua{constructor(){super(...arguments),this.active=ha.BOOLEAN(!0,{callback:(t,e)=>{hl.PARAM_CALLBACK_updateRegister(t)},separatorAfter:!0}),this.element=ha.INTEGER(ja.indexOf(Ha.CANVAS),{menu:{entries:ja.map(((t,e)=>({name:t,value:e})))},separatorAfter:!0}),this.keydown=ha.BOOLEAN(1,qa),this.keypress=ha.BOOLEAN(0,qa),this.keyup=ha.BOOLEAN(0,qa),this.keyCodes=ha.STRING(\\\\\\\"Digit1 KeyE ArrowDown\\\\\\\",qa),this.ctrlKey=ha.BOOLEAN(0,qa),this.altKey=ha.BOOLEAN(0,qa),this.shiftKey=ha.BOOLEAN(0,qa),this.metaKey=ha.BOOLEAN(0,qa)}};class hl extends Xa{constructor(){super(...arguments),this.paramsConfig=cl}static type(){return\\\\\\\"keyboard\\\\\\\"}acceptedEventTypes(){return al.map((t=>`${t}`))}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints(al.map((t=>new ta(t,Qo.KEYBOARD)))),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{const t=[this.p.keydown,this.p.keypress,this.p.keyup];this.params.label.init(t.concat([this.p.keyCodes]),(()=>`${t.map((t=>t.value?t.name():void 0)).filter((t=>t)).join(\\\\\\\", \\\\\\\")} (${this.pv.keyCodes})`))}))}))}processEvent(t){if(!this.pv.active)return;if(!t.event)return;const e=t.event;if(e.ctrlKey!=this.pv.ctrlKey)return;if(e.shiftKey!=this.pv.shiftKey)return;if(e.altKey!=this.pv.altKey)return;if(e.metaKey!=this.pv.metaKey)return;if(this.pv.keyCodes.trim().length>0){if(!this.pv.keyCodes.split(\\\\\\\" \\\\\\\").includes(e.code))return}this.dispatchEventToOutput(t.event.type,t)}}var ul;!function(t){t.resize=\\\\\\\"resize\\\\\\\"}(ul||(ul={}));const dl=[ul.resize];class pl extends pi{constructor(){super(...arguments),this._require_canvas_event_listeners=!0}type(){return\\\\\\\"window\\\\\\\"}acceptedEventTypes(){return dl.map((t=>`${t}`))}}const _l=new class extends ua{constructor(){super(...arguments),this.active=ha.BOOLEAN(!0,{callback:t=>{ml.PARAM_CALLBACK_updateRegister(t)},separatorAfter:!0}),this.element=ha.INTEGER(0,{hidden:!0}),this.resize=ha.BOOLEAN(1,qa)}};class ml extends Xa{constructor(){super(...arguments),this.paramsConfig=_l}static type(){return\\\\\\\"window\\\\\\\"}acceptedEventTypes(){return dl.map((t=>`${t}`))}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints(dl.map((t=>new ta(t,Qo.POINTER)))),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{const t=[this.p.resize];this.params.label.init(t,(()=>t.map((t=>t.value?t.name():void 0)).filter((t=>t)).join(\\\\\\\", \\\\\\\")))}))}))}processEvent(t){this.pv.active&&t.event&&this.dispatchEventToOutput(t.event.type,t)}}var fl;!function(t){t.dragover=\\\\\\\"dragover\\\\\\\"}(fl||(fl={}));const gl=[fl.dragover];class vl extends pi{constructor(){super(...arguments),this._require_canvas_event_listeners=!0}type(){return\\\\\\\"drag\\\\\\\"}acceptedEventTypes(){return gl.map((t=>`${t}`))}}var yl;!function(t){t.touchstart=\\\\\\\"touchstart\\\\\\\",t.touchmove=\\\\\\\"touchmove\\\\\\\",t.touchend=\\\\\\\"touchend\\\\\\\"}(yl||(yl={}));const xl=[yl.touchstart,yl.touchmove,yl.touchend];class bl extends pi{constructor(){super(...arguments),this._require_canvas_event_listeners=!0}type(){return\\\\\\\"touch\\\\\\\"}acceptedEventTypes(){return xl.map((t=>`${t}`))}}const wl=new class extends ua{constructor(){super(...arguments),this.active=ha.BOOLEAN(!0,{callback:t=>{Tl.PARAM_CALLBACK_updateRegister(t)},separatorAfter:!0}),this.element=ha.INTEGER(ja.indexOf(Ha.CANVAS),{menu:{entries:ja.map(((t,e)=>({name:t,value:e})))},separatorAfter:!0}),this.dragover=ha.BOOLEAN(1,qa),this.ctrlKey=ha.BOOLEAN(0,{...qa,separatorBefore:!0}),this.altKey=ha.BOOLEAN(0,qa),this.shiftKey=ha.BOOLEAN(0,qa),this.metaKey=ha.BOOLEAN(0,qa)}};class Tl extends Xa{constructor(){super(...arguments),this.paramsConfig=wl}static type(){return\\\\\\\"drag\\\\\\\"}acceptedEventTypes(){return gl.map((t=>`${t}`))}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints(gl.map((t=>new ta(t,Qo.DRAG)))),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{const t=[this.p.dragover];this.params.label.init(t,(()=>t.map((t=>t.value?t.name():void 0)).filter((t=>t)).join(\\\\\\\", \\\\\\\")))}))}))}processEvent(t){if(!this.pv.active)return;if(!t.event)return;const e=t.event;e.ctrlKey==this.pv.ctrlKey&&e.shiftKey==this.pv.shiftKey&&e.altKey==this.pv.altKey&&e.metaKey==this.pv.metaKey&&this.dispatchEventToOutput(t.event.type,t)}}const Al=new class extends ua{constructor(){super(...arguments),this.active=ha.BOOLEAN(!0,{callback:t=>{Ml.PARAM_CALLBACK_updateRegister(t)},separatorAfter:!0}),this.element=ha.INTEGER(ja.indexOf(Ha.CANVAS),{menu:{entries:ja.map(((t,e)=>({name:t,value:e})))},separatorAfter:!0}),this.touchstart=ha.BOOLEAN(1,qa),this.touchmove=ha.BOOLEAN(0,qa),this.touchend=ha.BOOLEAN(0,qa)}};class Ml extends Xa{constructor(){super(...arguments),this.paramsConfig=Al}static type(){return\\\\\\\"touch\\\\\\\"}acceptedEventTypes(){return xl.map((t=>`${t}`))}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints(xl.map((t=>new ta(t,Qo.DRAG)))),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{const t=[this.p.touchstart,this.p.touchmove,this.p.touchend];this.params.label.init(t,(()=>t.map((t=>t.value?t.name():void 0)).filter((t=>t)).join(\\\\\\\", \\\\\\\")))}))}))}processEvent(t){this.pv.active&&t.event&&this.dispatchEventToOutput(t.event.type,t)}}class El{constructor(t){this.scene=t,this._controllers=[]}registerEventNode(t){const e=this._find_or_create_controller_for_node(t);e&&e.registerNode(t)}unregisterEventNode(t){const e=this._find_or_create_controller_for_node(t);e&&e.unregisterNode(t)}updateViewerEventListeners(t){const e=this._find_or_create_controller_for_node(t);e&&e.updateViewerEventListeners()}traverseControllers(t){for(let e of this._controllers)t(e)}_find_or_create_controller_for_node(t){switch(t.type()){case hl.type():return this.keyboardEventsController;case Ja.type():return this.mouseEventsController;case Tl.type():return this.dragEventsController;case el.type():return this.pointerEventsController;case rl.type():return this.sceneEventsController;case Ml.type():return this.touchEventsController;case ml.type():return this.windowEventsController}}get keyboardEventsController(){return this._keyboard_events_controller=this._keyboard_events_controller||this._create_controller(ll)}get mouseEventsController(){return this._mouse_events_controller=this._mouse_events_controller||this._create_controller(Ga)}get dragEventsController(){return this._drag_events_controller=this._drag_events_controller||this._create_controller(vl)}get pointerEventsController(){return this._pointer_events_controller=this._pointer_events_controller||this._create_controller(Qa)}get sceneEventsController(){return this._scene_events_controller=this._scene_events_controller||this._create_controller(fi)}get windowEventsController(){return this._window_events_controller=this._window_events_controller||this._create_controller(pl)}get touchEventsController(){return this._touch_events_controller=this._touch_events_controller||this._create_controller(bl)}_create_controller(t){const e=new t(this);return this._controllers.includes(e)||this._controllers.push(e),e}}class Sl{constructor(t){this.scene=t,this._referenced_nodes_by_src_param_id=new Map,this._referencing_params_by_referenced_node_id=new Map,this._referencing_params_by_all_named_node_ids=new Map}setReferenceFromParam(t,e){this._referenced_nodes_by_src_param_id.set(t.graphNodeId(),e),h.pushOnArrayAtEntry(this._referencing_params_by_referenced_node_id,e.graphNodeId(),t)}setNamedNodesFromParam(t){const e=t.decomposed_path.named_nodes();for(let n of e)h.pushOnArrayAtEntry(this._referencing_params_by_all_named_node_ids,n.graphNodeId(),t)}resetReferenceFromParam(t){const e=this._referenced_nodes_by_src_param_id.get(t.graphNodeId());if(e){h.popFromArrayAtEntry(this._referencing_params_by_referenced_node_id,e.graphNodeId(),t);const n=t.decomposed_path.named_nodes();for(let e of n)h.popFromArrayAtEntry(this._referencing_params_by_all_named_node_ids,e.graphNodeId(),t);this._referenced_nodes_by_src_param_id.delete(t.graphNodeId())}}referencing_params(t){return this._referencing_params_by_referenced_node_id.get(t.graphNodeId())}referencing_nodes(t){const e=this._referencing_params_by_referenced_node_id.get(t.graphNodeId());if(e){const t=new Map;for(let n of e){const e=n.node;t.set(e.graphNodeId(),e)}const n=[];return t.forEach((t=>{n.push(t)})),n}}nodes_referenced_by(t){const e=new Set([Cr.OPERATOR_PATH,Cr.NODE_PATH]),n=[];for(let i of t.params.all)e.has(i.type())&&n.push(i);const i=new Map,s=[];for(let t of n)this._check_param(t,i,s);for(let t of s)i.set(t.node.graphNodeId(),t.node);const r=[];return i.forEach((t=>{r.push(t)})),r}_check_param(t,e,n){if(t instanceof fo){const i=t.found_node(),s=t.found_param();return i&&e.set(i.graphNodeId(),i),void(s&&n.push(s))}}notifyNameUpdated(t){const e=this._referencing_params_by_all_named_node_ids.get(t.graphNodeId());if(e){const n=f.shallowClone(e);for(let e of n)e.notifyPathRebuildRequired(t)}}notifyParamsUpdated(t){const e=this._referencing_params_by_all_named_node_ids.get(t.graphNodeId());if(e){const n=f.shallowClone(e);for(let e of n)e.options.isSelectingParam()&&e.notifyTargetParamOwnerParamsUpdated(t)}}}var Cl;!function(t){t.MAX_FRAME_UPDATED=\\\\\\\"scene_maxFrameUpdated\\\\\\\",t.REALTIME_STATUS_UPDATED=\\\\\\\"scene_realtime_status_updated\\\\\\\",t.FRAME_UPDATED=\\\\\\\"scene_frame_updated\\\\\\\",t.PLAY_STATE_UPDATED=\\\\\\\"scene_play_state_updated\\\\\\\"}(Cl||(Cl={}));class Nl{constructor(t){this.scene=t,this._frame=0,this._time=0,this._realtimeState=!0,this._maxFrame=600,this._maxFrameLocked=!1,this._playing=!1,this._delta=0,this._graph_node=new Mi(t,\\\\\\\"time controller\\\\\\\")}get PLAY_EVENT_CONTEXT(){return this._PLAY_EVENT_CONTEXT=this._PLAY_EVENT_CONTEXT||{event:new Event(_i.PLAY)}}get PAUSE_EVENT_CONTEXT(){return this._PAUSE_EVENT_CONTEXT=this._PAUSE_EVENT_CONTEXT||{event:new Event(_i.PAUSE)}}get TICK_EVENT_CONTEXT(){return this._TICK_EVENT_CONTEXT=this._TICK_EVENT_CONTEXT||{event:new Event(_i.TICK)}}get graphNode(){return this._graph_node}frame(){return this._frame}time(){return this._time}maxFrame(){return this._maxFrame}maxFrameLocked(){return this._maxFrameLocked}realtimeState(){return this._realtimeState}setMaxFrame(t){this._maxFrame=Math.floor(t),this.scene.dispatchController.dispatch(this._graph_node,Cl.MAX_FRAME_UPDATED)}setMaxFrameLocked(t){this._maxFrameLocked=t,this.scene.dispatchController.dispatch(this._graph_node,Cl.MAX_FRAME_UPDATED)}setRealtimeState(t){this._realtimeState=t,this.scene.dispatchController.dispatch(this._graph_node,Cl.REALTIME_STATUS_UPDATED)}setTime(t,e=!0){var n,i;if(t!=this._time){if(this._time=t,null===(n=this._onBeforeTickCallbacks)||void 0===n||n.forEach((t=>t(this._delta))),e){const t=Math.floor(60*this._time),e=this._ensureFrameWithinBounds(t);t!=e?this.setFrame(e,!0):this._frame=t}this.scene.dispatchController.dispatch(this._graph_node,Cl.FRAME_UPDATED),this.scene.uniformsController.updateTimeDependentUniformOwners(),this.scene.cooker.block(),this.graphNode.setSuccessorsDirty(),this.scene.cooker.unblock(),this.scene.eventsDispatcher.sceneEventsController.processEvent(this.TICK_EVENT_CONTEXT),null===(i=this._onAfterTickCallbacks)||void 0===i||i.forEach((t=>t(this._delta)))}}setFrame(t,e=!0){t!=this._frame&&(t=this._ensureFrameWithinBounds(t))!=this._frame&&(this._frame=t,e&&this.setTime(this._frame/60,!1))}setFrameToStart(){this.setFrame(Nl.START_FRAME,!0)}incrementTimeIfPlaying(t){this._playing&&(this.scene.root().areChildrenCooking()||this.incrementTime(t))}incrementTime(t){if(this._realtimeState){this._delta=t;const e=this._time+this._delta;this.setTime(e)}else this.setFrame(this.frame()+1)}_ensureFrameWithinBounds(t){if(this._playing){if(this._maxFrameLocked&&t>this._maxFrame)return Nl.START_FRAME}else{if(this._maxFrameLocked&&t>this._maxFrame)return this._maxFrame;if(t=0&&this._time_dependent_uniform_owners_ids.splice(e,1)}}updateTimeDependentUniformOwners(){const t=this.scene.time();if(this._time_dependent_uniform_owners_ids)for(let e of this._time_dependent_uniform_owners_ids){this._time_dependent_uniform_owners[e].time.value=t}}addResolutionDependentUniformOwner(t,e){this._resolution_dependent_uniform_owners[t]=e,this._resolution_dependent_uniform_owners_ids||(this._resolution_dependent_uniform_owners_ids=[]),this._resolution_dependent_uniform_owners_ids.includes(t)||this._resolution_dependent_uniform_owners_ids.push(t),this._resolution&&this.updateResolutionDependentUniforms(e)}removeResolutionDependentUniformOwner(t){if(delete this._resolution_dependent_uniform_owners[t],this._resolution_dependent_uniform_owners_ids){const e=this._resolution_dependent_uniform_owners_ids.indexOf(t);e>=0&&this._resolution_dependent_uniform_owners_ids.splice(e,1)}}updateResolutionDependentUniformOwners(t){this._resolution.copy(t);for(let t of this._resolution_dependent_uniform_owners_ids){const e=this._resolution_dependent_uniform_owners[t];this.updateResolutionDependentUniforms(e)}}updateResolutionDependentUniforms(t){t.resolution.value.x=this._resolution.x,t.resolution.value.y=this._resolution.y}}class Ol{constructor(t){this.scene=t,this._viewers_by_id=new Map}registerViewer(t){this._viewers_by_id.set(t.id(),t)}unregisterViewer(t){this._viewers_by_id.delete(t.id())}traverseViewers(t){this._viewers_by_id.forEach(t)}}class Pl{constructor(){this._require_webgl2=!1}require_webgl2(){return this._require_webgl2}set_require_webgl2(){this._require_webgl2||(this._require_webgl2=!0,li.renderersController.setRequireWebGL2())}}class Rl{constructor(t){this._scene=t,this._onWindowResizeBound=this._onWindowResize.bind(this)}graphNode(){return this._coreGraphNode=this._coreGraphNode||this._createGraphNode()}_createGraphNode(){const t=new Mi(this._scene,\\\\\\\"SceneWindowController\\\\\\\");return window.addEventListener(\\\\\\\"resize\\\\\\\",this._onWindowResizeBound),t}_onWindowResize(){this.graphNode().setSuccessorsDirty()}dispose(){window.removeEventListener(\\\\\\\"resize\\\\\\\",this._onWindowResizeBound)}}class Il{constructor(){this._params_by_id=new Map,this._assets_root=null}register_param(t){this._params_by_id.set(t.graphNodeId(),t)}deregister_param(t){this._params_by_id.delete(t.graphNodeId())}traverse_params(t){this._params_by_id.forEach(((e,n)=>{t(e)}))}root(){return this._assets_root}setRoot(t){\\\\\\\"\\\\\\\"==t&&(t=null),this._assets_root=t}}class Fl{constructor(){this._cameras_controller=new r(this),this._cooker=new o(this),this.cookController=new a,this._graph=new l,this._missing_expression_references_controller=new Ti(this),this._expressions_controller=new ui,this._nodes_controller=new Ba(this),this._objects_controller=new da(this),this._references_controller=new Sl(this),this._time_controller=new Nl(this),this._read_only=!1,this._graph.setScene(this),this.nodesController.init()}threejsScene(){return this.root().object}setUuid(t){return this._uuid=t}get uuid(){return this._uuid}setName(t){return t=ss.sanitizeName(t),this._name=t}name(){return this._name}get camerasController(){return this._cameras_controller}mainCameraNode(){return this.camerasController.mainCameraNode()}get cooker(){return this._cooker}get assets(){return this._assets_controller=this._assets_controller||new Il}async waitForCooksCompleted(){return this.cookController.waitForCooksCompleted()}get dispatchController(){return this._dispatch_controller=this._dispatch_controller||new hi(this)}get eventsDispatcher(){return this._events_dispatcher=this._events_dispatcher||new El(this)}get graph(){return this._graph}get lifecycleController(){return this._lifecycle_controller=this._lifecycle_controller||new di(this)}get loadingController(){return this._loading_controller=this._loading_controller||new gi(this)}get missingExpressionReferencesController(){return this._missing_expression_references_controller}get expressionsController(){return this._expressions_controller}get nodesController(){return this._nodes_controller}createNode(t,e){return this.root().createNode(t,e)}nodesByType(t){return this.nodesController.nodesByType(t)}get objectsController(){return this._objects_controller}findObjectByMask(t){return this._objects_controller.findObjectByMask(t)}objectsByMask(t){return this._objects_controller.objectsByMask(t)}get referencesController(){return this._references_controller}get performance(){return this._performance=this._performance||new ci}get viewersRegister(){return this._viewers_register=this._viewers_register||new Ol(this)}get timeController(){return this._time_controller}setFrame(t){this.timeController.setFrame(t)}setFrameToStart(){this.timeController.setFrameToStart()}frame(){return this.timeController.frame()}time(){return this.timeController.time()}maxFrame(){return this.timeController.maxFrame()}play(){this.timeController.play()}pause(){this.timeController.pause()}get serializer(){return this._serializer=this._serializer||new za(this)}toJSON(){return this.serializer.toJSON()}markAsReadOnly(t){this._read_only||(this._read_only_requester=t,this._read_only=!0)}readOnly(){return this._read_only}readOnlyRequester(){return this._read_only_requester}get uniformsController(){return this._uniformsController=this._uniformsController||new Ll(this)}get webgl_controller(){return this._webgl_controller=this._webgl_controller||new Pl}get windowController(){return this._windowController=this._windowController||new Rl(this)}dispose(){var t;null===(t=this._windowController)||void 0===t||t.dispose()}batchUpdates(t){this._cooker.block(),t(),this._cooker.unblock()}node(t){return this.nodesController.node(t)}root(){return this.nodesController.root()}registerOnBeforeTick(t,e){this.timeController.registerOnBeforeTick(t,e)}unRegisterOnBeforeTick(t){this.timeController.unRegisterOnBeforeTick(t)}registeredBeforeTickCallbacks(){return this.timeController.registeredBeforeTickCallbacks()}registerOnAfterTick(t,e){this.timeController.registerOnAfterTick(t,e)}unRegisterOnAfterTick(t){this.timeController.unRegisterOnAfterTick(t)}registeredAfterTickCallbacks(){return this.timeController.registeredAfterTickCallbacks()}}class Dl{constructor(t){this._param=t}process_data(t){const e=t.raw_input;void 0!==e&&this._param.set(e),this.add_main(t)}add_main(t){}static spare_params_data(t){return this.params_data(!0,t)}static non_spare_params_data_value(t){return this.params_data_value(!1,t)}static params_data(t,e){let n;if(e){n={};const t=Object.keys(e);let i;for(let s of t)i=e[s],i&&(n[s]=e)}return n}static params_data_value(t,e){let n;if(e){n={};const i=Object.keys(e);let s;for(let r of i)if(s=e[r],null!=s){const e=s.options,i=s.overriden_options;if(e||i){const o=s;e&&e.spare==t?null!=o.raw_input&&(n[r]={complex_data:o}):i&&(n[r]={complex_data:o})}else{const t=s;(i||null!=t)&&(n[r]={simple_data:t})}}}return n}}const Bl=\\\\\\\"operationsComposer\\\\\\\";class zl{constructor(t,e,n){this._scene=t,this.states=e,this._node=n}static type(){throw\\\\\\\"type to be overriden\\\\\\\"}type(){return this.constructor.type()}static context(){throw console.error(\\\\\\\"operation has no node_context\\\\\\\",this),\\\\\\\"context requires override\\\\\\\"}context(){return this.constructor.context()}scene(){return this._scene}cook(t,e){}}zl.DEFAULT_PARAMS={},zl.INPUT_CLONED_STATE=[];class kl{constructor(t){this._node=t,this._nodes=[],this._optimized_root_node_names=new Set,this._operation_containers_by_name=new Map,this._node_inputs=[]}nodes(){return this._nodes}process_data(t,e){var n,i,s;if(!e)return;if(!this._node.childrenAllowed()||!this._node.childrenController)return;const{optimized_names:r}=kl.child_names_by_optimized_state(e);this._nodes=[],this._optimized_root_node_names=new Set;for(let t of r)kl.is_optimized_root_node(e,t)&&this._optimized_root_node_names.add(t);for(let r of this._optimized_root_node_names){const o=e[r],a=this._node.createNode(Bl);if(a){a.setName(r),this._nodes.push(a),(null===(n=o.flags)||void 0===n?void 0:n.display)&&(null===(s=null===(i=a.flags)||void 0===i?void 0:i.display)||void 0===s||s.set(!0));const e=this._create_operation_container(t,a,o,a.name());a.set_output_operation_container(e)}}for(let n of this._nodes){const i=n.output_operation_container();if(i){this._node_inputs=[],this._add_optimized_node_inputs(t,n,e,n.name(),i),n.io.inputs.setCount(this._node_inputs.length);for(let t=0;t0}static is_optimized_root_node(t,e){const n=this.node_outputs(t,e);let i=0;return n.forEach((e=>{const n=t[e];this.is_node_optimized(n)||i++})),this.is_optimized_root_node_generic({outputs_count:n.size,non_optimized_count:i})}static is_optimized_root_node_from_node(t){var e,n,i,s;if(!(null===(n=null===(e=t.flags)||void 0===e?void 0:e.optimize)||void 0===n?void 0:n.active()))return!1;const r=t.io.connections.outputConnections().map((t=>t.node_dest));let o=0;for(let t of r)(null===(s=null===(i=t.flags)||void 0===i?void 0:i.optimize)||void 0===s?void 0:s.active())||o++;return this.is_optimized_root_node_generic({outputs_count:r.length,non_optimized_count:o})}static node_outputs(t,e){const n=Object.keys(t),i=new Set;for(let s of n)if(s!=e){const n=t[s].inputs;if(n)for(let t of n)if(m.isString(t)){t==e&&i.add(s)}}return i}_create_operation_container(t,e,n,i){const s=Dl.non_spare_params_data_value(n.params),r=kl.operation_type(n),o=this._node.create_operation_container(r,i,s);return o&&(this._operation_containers_by_name.set(i,o),o.path_param_resolve_required()&&(e.add_operation_container_with_path_param_resolve_required(o),t.add_operations_composer_node_with_path_param_resolve_required(e))),o}static operation_type(t){return kl.is_node_bypassed(t)?\\\\\\\"null\\\\\\\":t.type}static is_node_optimized(t){const e=t.flags;return!(!e||!e.optimize)}static is_node_bypassed(t){const e=t.flags;return!(!e||!e.bypass)}}class Ul{constructor(t){this._node=t}process_data(t,e){var n;if(!e)return;if(!this._node.childrenAllowed()||!this._node.childrenController)return;const{optimized_names:i,non_optimized_names:s}=kl.child_names_by_optimized_state(e),r=[];for(let n of s){const i=e[n],s=i.type.toLowerCase(),o=Dl.non_spare_params_data_value(i.params);try{const t=this._node.createNode(s,o);t&&(t.setName(n),r.push(t))}catch(e){console.error(`error importing node: cannot create with type ${s}`,e);const i=ss.camelCase(s);try{const t=this._node.createNode(i,o);t&&(t.setName(n),r.push(t))}catch(e){const a=`${s}Network`;try{const t=this._node.createNode(a,o);t&&(t.setName(n),r.push(t))}catch(e){const n=`failed to create node with type '${s}', '${i}' or '${a}'`;t.report.addWarning(n),li.warn(n,e)}}}}if(i.length>0){const i=new kl(this._node);if(i.process_data(t,e),this._node.childrenController.context==ts.SOP){const t=Object.keys(e);let s;for(let i of t){(null===(n=e[i].flags)||void 0===n?void 0:n.display)&&(s=i)}if(s){const t=r.map((t=>t.name())),e=i.nodes();for(let n of e)t.push(n.name());if(!t.includes(s)){const t=`node '${`${this._node.path()}/${s}`}' with display flag has been optimized and does not exist in player mode`;console.error(t)}}}}const o=new Map;for(let n of r){if(e[n.name()]){const i=Yl.dispatch_node(n);o.set(n.name(),i),i.process_data(t,e[n.name()])}else li.warn(`possible import error for node ${n.name()}`)}for(let t of r){const n=o.get(t.name());n&&n.process_inputs_data(e[t.name()])}}}const Gl=[\\\\\\\"overriden_options\\\\\\\",\\\\\\\"type\\\\\\\"];class Vl{constructor(t){this._node=t}process_data(t,e){if(this.set_connection_points(e.connection_points),this._node.childrenAllowed()&&this.create_nodes(t,e.nodes),this.set_selection(e.selection),this._node.io.inputs.overrideClonedStateAllowed()){const t=e.cloned_state_overriden;t&&this._node.io.inputs.overrideClonedState(t)}this.set_flags(e),this.set_params(e.params),e.persisted_config&&this.set_persisted_config(e.persisted_config),this.from_data_custom(e)}process_inputs_data(t){const e=t.maxInputsCount;if(null!=e){const t=this._node.io.inputs.minCount();this._node.io.inputs.setCount(t,e)}this.setInputs(t.inputs)}process_ui_data(t,e){if(!e)return;if(li.playerMode())return;const n=this._node.uiData,i=e.pos;if(i){const t=(new d.a).fromArray(i);n.setPosition(t)}const s=e.comment;s&&n.setComment(s),this._node.childrenAllowed()&&this.process_nodes_ui_data(t,e.nodes)}create_nodes(t,e){if(!e)return;new Ul(this._node).process_data(t,e)}set_selection(t){if(this._node.childrenAllowed()&&this._node.childrenController&&t&&t.length>0){const e=[];t.forEach((t=>{const n=this._node.node(t);n&&e.push(n)})),this._node.childrenController.selection.set(e)}}set_flags(t){var e,n,i,s,r,o;const a=t.flags;if(a){const t=a.bypass;null!=t&&(null===(n=null===(e=this._node.flags)||void 0===e?void 0:e.bypass)||void 0===n||n.set(t));const l=a.display;null!=l&&(null===(s=null===(i=this._node.flags)||void 0===i?void 0:i.display)||void 0===s||s.set(l));const c=a.optimize;null!=c&&(null===(o=null===(r=this._node.flags)||void 0===r?void 0:r.optimize)||void 0===o||o.set(c))}}set_connection_points(t){t&&(t.in&&this._node.io.saved_connection_points_data.set_in(t.in),t.out&&this._node.io.saved_connection_points_data.set_out(t.out),this._node.io.has_connection_points_controller&&this._node.io.connection_points.update_signature_if_required())}setInputs(t){if(!t)return;let e;for(let n=0;n0,s=n.toAdd&&n.toAdd.length>0;if(i||s){this._node.params.updateParams(n);for(let e of this._node.params.spare){const n=t[e.name()];!e.parent_param&&n&&(this._is_param_data_complex(n)?this._process_param_data_complex(e.name(),n):this._process_param_data_simple(e.name(),n))}}this._node.params.runOnSceneLoadHooks()}_process_param_data_simple(t,e){var n;null===(n=this._node.params.get(t))||void 0===n||n.set(e)}_process_param_data_complex(t,e){const n=this._node.params.get(t);n&&Yl.dispatch_param(n).process_data(e)}_is_param_data_complex(t){if(m.isString(t)||m.isNumber(t)||m.isArray(t)||m.isBoolean(t))return!1;if(m.isObject(t)){const e=Object.keys(t);for(let t of Gl)if(e.includes(t))return!0}return!1}set_persisted_config(t){this._node.persisted_config&&this._node.persisted_config.load(t)}from_data_custom(t){}}class Hl extends Dl{add_main(t){}}const jl=/\\\\\\\\n+/g;class Wl extends Dl{add_main(t){let e=t.raw_input;void 0!==e&&(e=e.replace(jl,\\\\\\\"\\\\n\\\\\\\"),this._param.set(e))}}class ql extends Dl{add_main(t){const e=t.raw_input;e&&this._param.set(e)}}class Xl extends Vl{create_nodes(t,e){const n=this._node.polyNodeController;n&&n.createChildNodesFromDefinition()}}class Yl{static dispatch_node(t){return t.polyNodeController?new Xl(t):new Vl(t)}static dispatch_param(t){return t instanceof ao?new Hl(t):t instanceof Mo?new Wl(t):t instanceof Ao?new ql(t):new Dl(t)}}class $l{constructor(t){this._warnings=[]}warnings(){return this._warnings}reset(){this._warnings=[]}addWarning(t){this._warnings.push(t)}}class Jl{constructor(t){this._data=t,this.report=new $l(this)}static async loadData(t){const e=new Jl(t);return await e.scene()}async scene(){const t=new Fl;t.loadingController.markAsLoading();const e=this._data.properties;if(e){const n=e.maxFrame||600;t.timeController.setMaxFrame(n);const i=e.maxFrameLocked;i&&t.timeController.setMaxFrameLocked(i);const s=e.realtimeState;null!=s&&t.timeController.setRealtimeState(s),t.setFrame(e.frame||Nl.START_FRAME),e.mainCameraNodePath&&t.camerasController.setMainCameraNodePath(e.mainCameraNodePath)}t.cooker.block(),this._base_operations_composer_nodes_with_resolve_required=void 0;const n=Yl.dispatch_node(t.root());return this._data.root&&n.process_data(this,this._data.root),this._data.ui&&n.process_ui_data(this,this._data.ui),this._resolve_operation_containers_with_path_param_resolve(),await t.loadingController.markAsLoaded(),t.cooker.unblock(),t}add_operations_composer_node_with_path_param_resolve_required(t){this._base_operations_composer_nodes_with_resolve_required||(this._base_operations_composer_nodes_with_resolve_required=[]),this._base_operations_composer_nodes_with_resolve_required.push(t)}_resolve_operation_containers_with_path_param_resolve(){if(this._base_operations_composer_nodes_with_resolve_required)for(let t of this._base_operations_composer_nodes_with_resolve_required)t.resolve_operation_containers_path_params()}}class Zl{static async importSceneData(t){null==t.editorMode&&(t.editorMode=!1);const{manifest:e,urlPrefix:n}=t,i=Object.keys(e.nodes),s=[];for(let t of i){const i=`${n}/root/${t}.json?t=${e.nodes[t]}`;s.push(i)}const r=[`${n}/root.json?t=${e.root}`,`${n}/properties.json?t=${e.properties}`];if(t.editorMode){const t=Date.now();r.push(`${n}/ui.json?t=${t}`)}for(let t of s)r.push(t);let o=0;const a=r.length,l=r.map((async e=>{const n=await fetch(e);return t.onProgress&&(o++,t.onProgress({count:o,total:a})),n})),c=await Promise.all(l),h=[];for(let t of c)h.push(await t.json());const u={root:h[0],properties:h[1]};let d=2;t.editorMode&&(u.ui=h[2],d+=1);const p={},_=Object.keys(e.nodes);for(let t=0;t<_.length;t++){const e=_[t],n=h[t+d];p[e]=n}return this.assemble(u,_,p)}static async assemble(t,e,n){const i={root:t.root,properties:t.properties,ui:t.ui};for(let t=0;t{r.matrixAutoUpdate=!0},c.onComplete=()=>{r.matrixAutoUpdate=t,r.matrixAutoUpdate||r.updateMatrix()}}if(o instanceof hh.a&&this._targetValue instanceof hh.a){const t={value:0},e=o,n=(new hh.a).copy(o),i=this._targetValue;c.onUpdate=()=>{e.slerpQuaternions(n,i,t.value)},a=t,c.value=1}if(m.isNumber(this._targetValue)){if(m.isNumber(o))for(let t of l)c[t]=this.withOp(o,this._targetValue,i)}else if(!m.isNumber(o))for(let t of l)c[t]=this.withOp(o[t],this._targetValue[t],i);a&&this._startTimeline(e,n,c,a)}}}_sceneGraphProps(t,e){const n=e.split(\\\\\\\".\\\\\\\");if(!(n.length>1)){const n=t[e];let i=null;const s=[];return m.isNumber(n)?(i=t,s.push(e)):(i=n,this._targetValue instanceof d.a&&s.push(\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\"),this._targetValue instanceof p.a&&s.push(\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\"),this._targetValue instanceof _.a&&s.push(\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\",\\\\\\\"w\\\\\\\"),this._targetValue,hh.a),{targetProperty:n,toTarget:i,propertyNames:s}}{const e=t[n.shift()];if(e){const t=n.join(\\\\\\\".\\\\\\\");return this._sceneGraphProps(e,t)}}}_populateWithNode(t,e,n){this._printDebug([\\\\\\\"_populateWithNode\\\\\\\",t]);const i=t.p[this._propertyName];this._printDebug([\\\\\\\"targetParam\\\\\\\",i]),i?i&&this._populateVarsForParam(i,e,n):li.warn(`${this._propertyName} not found on node ${t.path()}`)}_populateVarsForParam(t,e,n){switch(this._printDebug([\\\\\\\"_populateVarsForParam\\\\\\\",t]),t.type()){case Cr.INTEGER:return this._populateVarsForParamInteger(t,e,n);case Cr.FLOAT:return this._populateVarsForParamFloat(t,e,n);case Cr.VECTOR2:return this._populateVarsForParamVector2(t,e,n);case Cr.VECTOR3:return this._populateVarsForParamVector3(t,e,n);case Cr.COLOR:return this._populateVarsForParamColor(t,e,n);case Cr.VECTOR4:return this._populateVarsForParamVector4(t,e,n)}li.warn(`param type cannot be animated (yet): '${t.type()}' '${t.path()}'`)}_populateVarsForParamInteger(t,e,n){if(!m.isNumber(this._targetValue))return void li.warn(`TimelineBuilderProperty error: cannot animate integer param '${t.path()}' with targetValue`,this._targetValue);const i=this._commonVars(e),s={num:t.value};i.onUpdate=()=>{t.set(s.num)};const r=e.operation();i.num=this.withOp(t.value,this._targetValue,r),this._startTimeline(e,n,i,s)}_populateVarsForParamFloat(t,e,n){if(!m.isNumber(this._targetValue))return void li.warn(`TimelineBuilderProperty error: cannot animate float param '${t.path()}' with targetValue`,this._targetValue);const i=this._commonVars(e),s={num:t.value};i.onUpdate=()=>{t.set(s.num)};const r=e.operation();i.num=this.withOp(t.value,this._targetValue,r),this._startTimeline(e,n,i,s)}_populateVarsForParamVector2(t,e,n){if(!(this._targetValue instanceof d.a))return void li.warn(`TimelineBuilderProperty error: cannot animate vector2 param '${t.path()}' with targetValue`,this._targetValue);const i=this._commonVars(e),s=t.value.clone(),r=[0,0];i.onUpdate=()=>{s.toArray(r),t.set(r)};const o=e.operation();i.x=this.withOp(t.value.x,this._targetValue.x,o),i.y=this.withOp(t.value.y,this._targetValue.y,o),this._startTimeline(e,n,i,s)}_populateVarsForParamVector3(t,e,n){if(!(this._targetValue instanceof p.a))return void li.warn(`TimelineBuilderProperty error: cannot animate vector3 param '${t.path()}' with targetValue`,this._targetValue);const i=this._commonVars(e),s=t.value.clone(),r=[0,0,0];i.onUpdate=()=>{s.toArray(r),t.set(r)};const o=e.operation();i.x=this.withOp(t.value.x,this._targetValue.x,o),i.y=this.withOp(t.value.y,this._targetValue.y,o),i.z=this.withOp(t.value.z,this._targetValue.z,o),this._startTimeline(e,n,i,s)}_populateVarsForParamVector4(t,e,n){if(!(this._targetValue instanceof _.a))return void li.warn(`TimelineBuilderProperty error: cannot animate vector4 param '${t.path()}' with targetValue`,this._targetValue);const i=this._commonVars(e),s=t.value.clone(),r=[0,0,0,0];i.onUpdate=()=>{s.toArray(r),t.set(r)};const o=e.operation();i.x=this.withOp(t.value.x,this._targetValue.x,o),i.y=this.withOp(t.value.y,this._targetValue.y,o),i.z=this.withOp(t.value.z,this._targetValue.z,o),i.w=this.withOp(t.value.w,this._targetValue.w,o),this._startTimeline(e,n,i,s)}_populateVarsForParamColor(t,e,n){if(!(this._targetValue instanceof p.a))return void li.warn(`TimelineBuilderProperty error: cannot animate color param '${t.path()}' with targetValue`,this._targetValue);const i=this._commonVars(e),s=t.valuePreConversion(),r=new p.a(s.r,s.g,s.b),o=[0,0,0];i.onUpdate=()=>{r.toArray(o),t.set(o)};const a=e.operation();i.x=this.withOp(t.value.r,this._targetValue.x,a),i.y=this.withOp(t.value.g,this._targetValue.y,a),i.z=this.withOp(t.value.b,this._targetValue.z,a),this._startTimeline(e,n,i,r)}withOp(t,e,n){switch(n){case I_.SET:return e;case I_.ADD:return t+e;case I_.SUBSTRACT:return t-e}os.unreachable(n)}_commonVars(t){const e={duration:t.duration()},n=t.easing()||ch.NONE;n&&(e.ease=n);const i=t.delay();null!=i&&(e.delay=i);const s=t.repeatParams();return s&&(e.repeat=s.count,e.repeatDelay=s.delay,e.yoyo=s.yoyo),e}_startTimeline(t,e,n,i){const s=t.position(),r=s?s.toParameter():void 0;e.to(i,n,r)}}function mh(t){if(void 0===t)throw new ReferenceError(\\\\\\\"this hasn't been initialised - super() hasn't been called\\\\\\\");return t}function fh(t,e){t.prototype=Object.create(e.prototype),t.prototype.constructor=t,t.__proto__=e}var gh,vh,yh,xh,bh,wh,Th,Ah,Mh,Eh,Sh,Ch,Nh,Lh={autoSleep:120,force3D:\\\\\\\"auto\\\\\\\",nullTargetWarn:1,units:{lineHeight:\\\\\\\"\\\\\\\"}},Oh={duration:.5,overwrite:!1,delay:0},Ph=1e8,Rh=1e-8,Ih=2*Math.PI,Fh=Ih/4,Dh=0,Bh=Math.sqrt,zh=Math.cos,kh=Math.sin,Uh=function(t){return\\\\\\\"string\\\\\\\"==typeof t},Gh=function(t){return\\\\\\\"function\\\\\\\"==typeof t},Vh=function(t){return\\\\\\\"number\\\\\\\"==typeof 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oh{constructor(){super(...arguments),this.paramsConfig=rm}static type(){return\\\\\\\"position\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,1),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.mode,this.p.relativeTo,this.p.offset],(()=>{switch(X_[this.pv.mode]){case q_.RELATIVE:return this._relative_label();case q_.ABSOLUTE:return this._absolute_label()}}))}))}))}_relative_label(){const t=this.pv.offset>0?\\\\\\\"after\\\\\\\":\\\\\\\"before\\\\\\\",e=$_[this.pv.relativeTo];return`${Math.abs(this.pv.offset)} ${t} ${e}`}_absolute_label(){return\\\\\\\"absolute\\\\\\\"}cook(t){const e=t[0]||new B_,n=new J_;n.setMode(X_[this.pv.mode]),n.setRelativeTo($_[this.pv.relativeTo]),n.setOffset(this.pv.offset),e.setPosition(n),this.setTimelineBuilder(e)}}const am=new class extends ua{constructor(){super(...arguments),this.name=ha.STRING(\\\\\\\"position\\\\\\\")}};class lm extends oh{constructor(){super(...arguments),this.paramsConfig=am}static type(){return\\\\\\\"propertyName\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,1),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name])}))}))}cook(t){const e=t[0]||new B_;e.setPropertyName(this.pv.name),this.setTimelineBuilder(e)}}var cm;!function(t){t.CUSTOM=\\\\\\\"custom\\\\\\\",t.FROM_SCENE_GRAPH=\\\\\\\"from scene graph\\\\\\\",t.FROM_NODE=\\\\\\\"from node\\\\\\\"}(cm||(cm={}));const hm=[cm.CUSTOM,cm.FROM_SCENE_GRAPH,cm.FROM_NODE],um=hm.indexOf(cm.CUSTOM),dm=hm.indexOf(cm.FROM_SCENE_GRAPH),pm=hm.indexOf(cm.FROM_NODE);const _m=new class extends ua{constructor(){super(...arguments),this.mode=ha.INTEGER(um,{menu:{entries:hm.map(((t,e)=>({name:t,value:e})))}}),this.nodePath=ha.NODE_PATH(\\\\\\\"\\\\\\\",{visibleIf:{mode:pm}}),this.objectMask=ha.STRING(\\\\\\\"*geo1\\\\\\\",{visibleIf:{mode:dm}}),this.printResolve=ha.BUTTON(null,{visibleIf:{mode:dm},callback:t=>{mm.PARAM_CALLBACK_printResolve(t)}}),this.overridePropertyName=ha.BOOLEAN(0,{visibleIf:[{mode:dm},{mode:pm}]}),this.propertyName=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:[{overridePropertyName:!0,mode:dm},{overridePropertyName:!0,mode:pm}]}),this.size=ha.INTEGER(3,{range:[1,4],rangeLocked:[!0,!0],visibleIf:{mode:um}}),this.value1=ha.FLOAT(0,{visibleIf:{mode:um,size:1}}),this.value2=ha.VECTOR2([0,0],{visibleIf:{mode:um,size:2}}),this.value3=ha.VECTOR3([0,0,0],{visibleIf:{mode:um,size:3}}),this.value4=ha.VECTOR4([0,0,0,0],{visibleIf:{mode:um,size:4}})}};class mm extends oh{constructor(){super(...arguments),this.paramsConfig=_m}static type(){return\\\\\\\"propertyValue\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,1)}async cook(t){const e=t[0]||new B_;await this._prepareTimelineBuilder(e),this.setTimelineBuilder(e)}setMode(t){this.p.mode.set(hm.indexOf(t))}async _prepareTimelineBuilder(t){const e=hm[this.pv.mode];switch(e){case cm.CUSTOM:return this._prepareTimebuilderCustom(t);case cm.FROM_SCENE_GRAPH:return this._prepareTimebuilderFromSceneGraph(t);case cm.FROM_NODE:return await this._prepareTimebuilderFromNode(t)}os.unreachable(e)}_prepareTimebuilderCustom(t){const e=[this.pv.value1,this.pv.value2.clone(),this.pv.value3.clone(),this.pv.value4.clone()][this.pv.size-1];t.setPropertyValue(e)}_prepareTimebuilderFromSceneGraph(t){const e=this.pv.overridePropertyName?this.pv.propertyName:t.propertyName();if(!e)return;const n=this._foundObjectFromSceneGraph();if(n){const i=n[e];i&&(m.isNumber(i)||m.isVector(i)||i instanceof hh.a)&&t.setPropertyValue(i)}}async _prepareTimebuilderFromNode(t){const e=this.pv.overridePropertyName?this.pv.propertyName:t.propertyName();if(!e)return;const n=this.pv.nodePath.node();if(!n)return;const i=n.params.get(e);if(!i)return;i.isDirty()&&await i.compute();const s=i.value;s&&(m.isNumber(s)||m.isVector(s))&&t.setPropertyValue(s)}static PARAM_CALLBACK_printResolve(t){t.printResolve()}_foundObjectFromSceneGraph(){return this.scene().findObjectByMask(this.pv.objectMask)}printResolve(){const t=this._foundObjectFromSceneGraph();console.log(t)}}const fm=new class extends ua{constructor(){super(...arguments),this.unlimited=ha.BOOLEAN(0),this.count=ha.INTEGER(1,{range:[0,10],visibleIf:{unlimited:0}}),this.delay=ha.FLOAT(0),this.yoyo=ha.BOOLEAN(0)}};class gm extends oh{constructor(){super(...arguments),this.paramsConfig=fm}static type(){return\\\\\\\"repeat\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,1),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.unlimited,this.p.count,this.p.yoyo],(()=>`${`${this.p.unlimited?\\\\\\\"unlimited\\\\\\\":this.pv.count}`} (yoyo: ${this.pv.yoyo})`))}))}))}_repeat_params(){return{count:this.pv.unlimited?-1:this.pv.count,delay:this.pv.delay,yoyo:this.pv.yoyo}}cook(t){const e=t[0]||new B_;e.setRepeatParams(this._repeat_params()),this.setTimelineBuilder(e)}}const vm=new class extends ua{constructor(){super(...arguments),this.input=ha.INTEGER(0,{range:[0,3],rangeLocked:[!0,!0]})}};class ym extends oh{constructor(){super(...arguments),this.paramsConfig=vm}static type(){return\\\\\\\"switch\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,4)}cook(t){const e=t[this.pv.input];e?this.setTimelineBuilder(e):this.states.error.set(`input ${this.pv.input} is not valid`)}}class xm{constructor(t,e){this._scene=t,this._options=e}clone(){return new xm(this._scene,this._options)}objects(){const t=this._options.objectMask;if(t)return this._scene.objectsByMask(t)}node(){if(!this._options.node)return;const t=this._options.node;return t.relativeTo.node(t.path)}}class bm{constructor(){this._update_matrix=!1}clone(){const t=new bm;return t.setUpdateMatrix(this._update_matrix),t}setUpdateMatrix(t){this._update_matrix=t}updateMatrix(){return this._update_matrix}}var wm;!function(t){t.SCENE_GRAPH=\\\\\\\"scene graph\\\\\\\",t.NODE=\\\\\\\"node\\\\\\\"}(wm||(wm={}));const Tm=[wm.SCENE_GRAPH,wm.NODE],Am=Tm.indexOf(wm.SCENE_GRAPH),Mm=Tm.indexOf(wm.NODE);const Em=new class extends ua{constructor(){super(...arguments),this.type=ha.INTEGER(Am,{menu:{entries:Tm.map(((t,e)=>({name:t,value:e})))}}),this.nodePath=ha.OPERATOR_PATH(\\\\\\\"\\\\\\\",{visibleIf:{type:Mm}}),this.objectMask=ha.STRING(\\\\\\\"/geo*\\\\\\\",{visibleIf:{type:Am}}),this.updateMatrix=ha.BOOLEAN(0,{visibleIf:{type:Am}}),this.printResolve=ha.BUTTON(null,{callback:(t,e)=>{Sm.PARAM_CALLBACK_print_resolve(t)}})}};class Sm extends oh{constructor(){super(...arguments),this.paramsConfig=Em}static type(){return\\\\\\\"target\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,1),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.type,this.p.nodePath,this.p.objectMask],(()=>{const t=Tm[this.pv.type];switch(t){case wm.NODE:return this.pv.nodePath;case wm.SCENE_GRAPH:return this.pv.objectMask}os.unreachable(t)}))}))}))}cook(t){const e=t[0]||new B_,n=this._create_target(e);e.setTarget(n),this._set_update_callback(e),this.setTimelineBuilder(e)}setTargetType(t){this.p.type.set(Tm.indexOf(t))}_create_target(t){const e=Tm[this.pv.type];switch(e){case wm.NODE:return new xm(this.scene(),{node:{path:this.pv.nodePath,relativeTo:this}});case wm.SCENE_GRAPH:return new xm(this.scene(),{objectMask:this.pv.objectMask})}os.unreachable(e)}_set_update_callback(t){const e=Tm[this.pv.type];let n=t.updateCallback();switch(e){case wm.NODE:return;case wm.SCENE_GRAPH:return void(this.pv.updateMatrix&&(n=n||new bm,n.setUpdateMatrix(this.pv.updateMatrix),t.setUpdateCallback(n)))}os.unreachable(e)}static PARAM_CALLBACK_print_resolve(t){t.print_resolve()}print_resolve(){const t=Tm[this.pv.type],e=new B_,n=this._create_target(e);switch(t){case wm.NODE:return console.log(n.node());case wm.SCENE_GRAPH:return console.log(n.objects())}}}class Cm extends aa{static context(){return ts.ANIM}cook(){this.cookController.endCook()}}class Nm extends Cm{}class Lm extends Nm{constructor(){super(...arguments),this._children_controller_context=ts.ANIM}static type(){return es.ANIM}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class Om extends Nm{constructor(){super(...arguments),this._children_controller_context=ts.COP}static type(){return es.COP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class Pm extends Nm{constructor(){super(...arguments),this._children_controller_context=ts.EVENT}static type(){return es.EVENT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class Rm extends Nm{constructor(){super(...arguments),this._children_controller_context=ts.MAT}static type(){return es.MAT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}const Im={dependsOnDisplayNode:!0};class Fm{constructor(t,e,n=Im){this.node=t,this.options=n,this._initialized=!1,this._display_node=void 0,this._graph_node=new Mi(t.scene(),\\\\\\\"DisplayNodeController\\\\\\\"),this._graph_node.node=t,this._on_display_node_remove_callback=e.onDisplayNodeRemove,this._on_display_node_set_callback=e.onDisplayNodeSet,this._on_display_node_update_callback=e.onDisplayNodeUpdate}dispose(){this._graph_node.dispose()}displayNode(){return this._display_node}initializeNode(){this._initialized?console.error(\\\\\\\"display node controller already initialed\\\\\\\",this.node):(this._initialized=!0,this.node.lifecycle.add_on_child_add_hook((t=>{var e,n;this._display_node||null===(n=null===(e=t.flags)||void 0===e?void 0:e.display)||void 0===n||n.set(!0)})),this.node.lifecycle.add_on_child_remove_hook((t=>{var e,n,i;if(t.graphNodeId()==(null===(e=this._display_node)||void 0===e?void 0:e.graphNodeId())){const t=this.node.children(),e=t[t.length-1];e?null===(i=null===(n=e.flags)||void 0===n?void 0:n.display)||void 0===i||i.set(!0):this.setDisplayNode(void 0)}})),this._graph_node.dirtyController.addPostDirtyHook(\\\\\\\"_request_display_node_container\\\\\\\",(()=>{this._on_display_node_update_callback&&this._on_display_node_update_callback()})))}async setDisplayNode(t){if(this._initialized||console.error(\\\\\\\"display node controller not initialized\\\\\\\",this.node),this._display_node!=t){const e=this._display_node;e&&(e.flags.display.set(!1),this.options.dependsOnDisplayNode&&this._graph_node.removeGraphInput(e),this._on_display_node_remove_callback&&this._on_display_node_remove_callback()),this._display_node=t,this._display_node&&(this.options.dependsOnDisplayNode&&this._graph_node.addGraphInput(this._display_node),this._on_display_node_set_callback&&this._on_display_node_set_callback())}}}class Dm{constructor(t=!0){this.autoStart=t,this.startTime=0,this.oldTime=0,this.elapsedTime=0,this.running=!1}start(){this.startTime=Bm(),this.oldTime=this.startTime,this.elapsedTime=0,this.running=!0}stop(){this.getElapsedTime(),this.running=!1,this.autoStart=!1}getElapsedTime(){return this.getDelta(),this.elapsedTime}getDelta(){let t=0;if(this.autoStart&&!this.running)return this.start(),0;if(this.running){const e=Bm();t=(e-this.oldTime)/1e3,this.oldTime=e,this.elapsedTime+=t}return t}}function Bm(){return(\\\\\\\"undefined\\\\\\\"==typeof performance?Date:performance).now()}var zm={uniforms:{tDiffuse:{value:null},opacity:{value:1}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform float opacity;\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 texel = texture2D( tDiffuse, vUv );\\\\n\\\\t\\\\t\\\\tgl_FragColor = opacity * texel;\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};class km{constructor(){this.enabled=!0,this.needsSwap=!0,this.clear=!1,this.renderToScreen=!1}setSize(){}render(){console.error(\\\\\\\"THREE.Pass: .render() must be implemented in derived pass.\\\\\\\")}}const Um=new ot.a(-1,1,1,-1,0,1),Gm=new S.a;Gm.setAttribute(\\\\\\\"position\\\\\\\",new C.c([-1,3,0,-1,-1,0,3,-1,0],3)),Gm.setAttribute(\\\\\\\"uv\\\\\\\",new C.c([0,2,0,0,2,0],2));class Vm{constructor(t){this._mesh=new B.a(Gm,t)}dispose(){this._mesh.geometry.dispose()}render(t){t.render(this._mesh,Um)}get material(){return this._mesh.material}set material(t){this._mesh.material=t}}class Hm extends km{constructor(t,e){super(),this.textureID=void 0!==e?e:\\\\\\\"tDiffuse\\\\\\\",t instanceof F?(this.uniforms=t.uniforms,this.material=t):t&&(this.uniforms=I.clone(t.uniforms),this.material=new F({defines:Object.assign({},t.defines),uniforms:this.uniforms,vertexShader:t.vertexShader,fragmentShader:t.fragmentShader})),this.fsQuad=new Vm(this.material)}render(t,e,n){this.uniforms[this.textureID]&&(this.uniforms[this.textureID].value=n.texture),this.fsQuad.material=this.material,this.renderToScreen?(t.setRenderTarget(null),this.fsQuad.render(t)):(t.setRenderTarget(e),this.clear&&t.clear(t.autoClearColor,t.autoClearDepth,t.autoClearStencil),this.fsQuad.render(t))}}class jm extends km{constructor(t,e){super(),this.scene=t,this.camera=e,this.clear=!0,this.needsSwap=!1,this.inverse=!1}render(t,e,n){const i=t.getContext(),s=t.state;let r,o;s.buffers.color.setMask(!1),s.buffers.depth.setMask(!1),s.buffers.color.setLocked(!0),s.buffers.depth.setLocked(!0),this.inverse?(r=0,o=1):(r=1,o=0),s.buffers.stencil.setTest(!0),s.buffers.stencil.setOp(i.REPLACE,i.REPLACE,i.REPLACE),s.buffers.stencil.setFunc(i.ALWAYS,r,4294967295),s.buffers.stencil.setClear(o),s.buffers.stencil.setLocked(!0),t.setRenderTarget(n),this.clear&&t.clear(),t.render(this.scene,this.camera),t.setRenderTarget(e),this.clear&&t.clear(),t.render(this.scene,this.camera),s.buffers.color.setLocked(!1),s.buffers.depth.setLocked(!1),s.buffers.stencil.setLocked(!1),s.buffers.stencil.setFunc(i.EQUAL,1,4294967295),s.buffers.stencil.setOp(i.KEEP,i.KEEP,i.KEEP),s.buffers.stencil.setLocked(!0)}}class Wm extends km{constructor(){super(),this.needsSwap=!1}render(t){t.state.buffers.stencil.setLocked(!1),t.state.buffers.stencil.setTest(!1)}}class qm{constructor(t,e){if(this.renderer=t,void 0===e){const n={minFilter:w.V,magFilter:w.V,format:w.Ib},i=t.getSize(new d.a);this._pixelRatio=t.getPixelRatio(),this._width=i.width,this._height=i.height,(e=new K(this._width*this._pixelRatio,this._height*this._pixelRatio,n)).texture.name=\\\\\\\"EffectComposer.rt1\\\\\\\"}else this._pixelRatio=1,this._width=e.width,this._height=e.height;this.renderTarget1=e,this.renderTarget2=e.clone(),this.renderTarget2.texture.name=\\\\\\\"EffectComposer.rt2\\\\\\\",this.writeBuffer=this.renderTarget1,this.readBuffer=this.renderTarget2,this.renderToScreen=!0,this.passes=[],void 0===zm&&console.error(\\\\\\\"THREE.EffectComposer relies on CopyShader\\\\\\\"),void 0===Hm&&console.error(\\\\\\\"THREE.EffectComposer relies on ShaderPass\\\\\\\"),this.copyPass=new Hm(zm),this.clock=new Dm}swapBuffers(){const t=this.readBuffer;this.readBuffer=this.writeBuffer,this.writeBuffer=t}addPass(t){this.passes.push(t),t.setSize(this._width*this._pixelRatio,this._height*this._pixelRatio)}insertPass(t,e){this.passes.splice(e,0,t),t.setSize(this._width*this._pixelRatio,this._height*this._pixelRatio)}removePass(t){const e=this.passes.indexOf(t);-1!==e&&this.passes.splice(e,1)}isLastEnabledPass(t){for(let e=t+1;e({name:Object.keys(t)[0],value:Object.values(t)[0]}))),tf=Jm.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})));class ef extends ua{constructor(){super(...arguments),this.prependRenderPass=ha.BOOLEAN(1),this.useRenderTarget=ha.BOOLEAN(1),this.tmagFilter=ha.BOOLEAN(0,{visibleIf:{useRenderTarget:1}}),this.magFilter=ha.INTEGER(Zm,{visibleIf:{useRenderTarget:1,tmagFilter:1},menu:{entries:Qm}}),this.tminFilter=ha.BOOLEAN(0,{visibleIf:{useRenderTarget:1}}),this.minFilter=ha.INTEGER(Km,{visibleIf:{useRenderTarget:1,tminFilter:1},menu:{entries:tf}}),this.stencilBuffer=ha.BOOLEAN(0,{visibleIf:{useRenderTarget:1}}),this.sampling=ha.INTEGER(1,{range:[1,4],rangeLocked:[!0,!1]})}}class nf{constructor(t){this.node=t,this._renderer_size=new d.a}displayNodeControllerCallbacks(){return{onDisplayNodeRemove:()=>{},onDisplayNodeSet:()=>{this.node.setDirty()},onDisplayNodeUpdate:()=>{this.node.setDirty()}}}createEffectsComposer(t){const e=t.renderer;let n;if(this.node.pv.useRenderTarget){const t=this._create_render_target(e);n=new qm(e,t)}else n=new qm(e);return n.setPixelRatio(window.devicePixelRatio*this.node.pv.sampling),this._build_passes(n,t),n}_create_render_target(t){let e;t.autoClear=!1;const n={format:w.ic,stencilBuffer:this.node.pv.stencilBuffer};return this.node.pv.tminFilter&&(n.minFilter=this.node.pv.minFilter),this.node.pv.tmagFilter&&(n.magFilter=this.node.pv.magFilter),t.getDrawingBufferSize(this._renderer_size),e=li.renderersController.renderTarget(this._renderer_size.x,this._renderer_size.y,n),e}_build_passes(t,e){if(this.node.pv.prependRenderPass){const n=new Ym(e.scene,e.camera);t.addPass(n)}const n=this.node.displayNodeController.displayNode();n&&n.setupComposer({composer:t,camera:e.camera,resolution:e.resolution,camera_node:e.camera_node,scene:e.scene,requester:e.requester})}}class sf extends Cm{constructor(){super(...arguments),this.paramsConfig=new ef,this.effectsComposerController=new nf(this),this.displayNodeController=new Fm(this,this.effectsComposerController.displayNodeControllerCallbacks()),this._children_controller_context=ts.POST}static type(){return es.POST}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class rf extends Nm{constructor(){super(...arguments),this._children_controller_context=ts.ROP}static type(){return es.ROP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}var of=n(44);const af=\\\\\\\"input texture\\\\\\\",lf=[af,af,af,af];for(var cf=new Uint16Array(32),hf=0;hf<32;hf++)cf[hf]=28898;const uf=new vo.a(cf,32,1,w.gb,w.M);class df extends aa{constructor(t){super(t,\\\\\\\"BaseCopNode\\\\\\\"),this.flags=new ki(this)}static context(){return ts.COP}static displayedInputNames(){return lf}initializeBaseNode(){this.io.outputs.setHasOneOutput()}setTexture(t){t.name=this.path();const e=this.containerController.container().texture();if(e){if(e.uuid!=t.uuid){const n=Object.keys(t);for(let i of n)e[i]=t[i];e.needsUpdate=!0}this._setContainer(e)}else this._setContainer(t)}_clearTexture(){this._setContainer(uf)}}class pf extends df{}class _f{constructor(){this._id=_f.__next_id++}id(){return this._id}handle_globals_node(t,e,n){}}_f.__next_id=0;class mf{static any(t){return m.isString(t)?t:m.isBoolean(t)?`${t}`:m.isNumber(t)?`${ss.ensureFloat(t)}`:m.isArray(t)?this.numeric_array(t):t instanceof d.a||t instanceof p.a||t instanceof _.a||t instanceof D.a?this.numeric_array(t.toArray()):`ThreeToGl error: unknown value type '${t}'`}static numeric_array(t){const e=new Array(t.length);for(let n=0;n`${ss.ensureFloat(t)}`)).join(\\\\\\\", \\\\\\\")})`}static vector3(t){if(m.isString(t))return t;return`vec3(${t.toArray().map((t=>`${ss.ensureFloat(t)}`)).join(\\\\\\\", \\\\\\\")})`}static vector2(t){if(m.isString(t))return t;return`vec2(${t.toArray().map((t=>`${ss.ensureFloat(t)}`)).join(\\\\\\\", \\\\\\\")})`}static vector3_float(t,e){return m.isNumber(e)&&(e=ss.ensureFloat(e)),`vec4(${this.vector3(t)}, ${e})`}static float4(t,e,n,i){return m.isNumber(t)&&(t=ss.ensureFloat(t)),m.isNumber(e)&&(e=ss.ensureFloat(e)),m.isNumber(n)&&(n=ss.ensureFloat(n)),m.isNumber(i)&&(i=ss.ensureFloat(i)),`vec4(${t}, ${e}, ${n}, ${i})`}static float3(t,e,n){return m.isNumber(t)&&(t=ss.ensureFloat(t)),m.isNumber(e)&&(e=ss.ensureFloat(e)),m.isNumber(n)&&(n=ss.ensureFloat(n)),`vec3(${t}, ${e}, ${n})`}static float2(t,e){return m.isNumber(t)&&(t=ss.ensureFloat(t)),m.isNumber(e)&&(e=ss.ensureFloat(e)),`vec2(${t}, ${e})`}static float(t){if(m.isNumber(t))return ss.ensureFloat(t);{const e=parseFloat(t);return m.isNaN(e)?t:ss.ensureFloat(e)}}static integer(t){if(m.isNumber(t))return ss.ensureInteger(t);{const e=parseInt(t);return m.isNaN(e)?t:ss.ensureInteger(e)}}static bool(t){return m.isBoolean(t)?`${t}`:t}}const ff=/\\\\/+/g;class gf extends aa{static context(){return ts.GL}initializeBaseNode(){this.uiData.setLayoutHorizontal(),this.io.connections.initInputs(),this.io.connection_points.spare_params.initializeNode()}cook(){console.warn(\\\\\\\"gl nodes should never cook\\\\\\\")}_set_mat_to_recompile(){var t,e;null===(e=null===(t=this.material_node)||void 0===t?void 0:t.assemblerController)||void 0===e||e.set_compilation_required_and_dirty(this)}get material_node(){var t;const e=this.parent();if(e)return e.context()==ts.GL?null===(t=e)||void 0===t?void 0:t.material_node:e}glVarName(t){return`v_POLY_${this.path(this.material_node).replace(ff,\\\\\\\"_\\\\\\\")}_${t}`}variableForInputParam(t){return this.variableForInput(t.name())}variableForInput(t){var e;const n=this.io.inputs.get_input_index(t),i=this.io.connections.inputConnection(n);if(i){const e=i.node_src,n=e.io.outputs.namedOutputConnectionPoints()[i.output_index];if(n){const t=n.name();return e.glVarName(t)}throw console.warn(`no output called '${t}' for gl node ${e.path()}`),\\\\\\\"variable_for_input ERROR\\\\\\\"}if(this.params.has(t))return mf.any(null===(e=this.params.get(t))||void 0===e?void 0:e.value);{const t=this.io.inputs.namedInputConnectionPoints()[n];return mf.any(t.init_value)}}setLines(t){}reset_code(){var t;null===(t=this._param_configs_controller)||void 0===t||t.reset()}setParamConfigs(){}param_configs(){var t;return null===(t=this._param_configs_controller)||void 0===t?void 0:t.list()}paramsGenerating(){return!1}paramDefaultValue(t){return null}}const vf=new class extends ua{};class yf extends gf{constructor(){super(...arguments),this.paramsConfig=vf}}const xf=[Uo.FLOAT,Uo.VEC2,Uo.VEC3,Uo.VEC4];const bf=new class extends ua{constructor(){super(...arguments),this.name=ha.STRING(\\\\\\\"\\\\\\\"),this.type=ha.INTEGER(0,{menu:{entries:xf.map(((t,e)=>({name:t,value:e})))}}),this.texportWhenConnected=ha.BOOLEAN(0,{hidden:!0}),this.exportWhenConnected=ha.BOOLEAN(0,{visibleIf:{texportWhenConnected:1}})}};class wf extends gf{constructor(){super(...arguments),this.paramsConfig=bf,this._on_create_set_name_if_none_bound=this._on_create_set_name_if_none.bind(this),this._bound_setExportWhenConnectedStatus=this._setExportWhenConnectedStatus.bind(this)}static type(){return ps.ATTRIBUTE}initializeNode(){this.addPostDirtyHook(\\\\\\\"_set_mat_to_recompile\\\\\\\",this._set_mat_to_recompile_if_is_exporting.bind(this)),this.lifecycle.add_on_create_hook(this._on_create_set_name_if_none_bound),this.io.connection_points.initializeNode(),this.io.connection_points.set_expected_input_types_function((()=>{var t,e;return(null===(e=null===(t=this.material_node)||void 0===t?void 0:t.assemblerController)||void 0===e?void 0:e.allow_attribute_exports())?[xf[this.pv.type]]:[]})),this.io.connection_points.set_input_name_function((t=>wf.INPUT_NAME)),this.io.connection_points.set_expected_output_types_function((()=>[xf[this.pv.type]])),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name,this.p.exportWhenConnected],(()=>this.pv.exportWhenConnected?`${this.pv.name} (EXPORTED)`:this.pv.name))}))})),this.lifecycle.add_on_add_hook(this._bound_setExportWhenConnectedStatus),this.params.addOnSceneLoadHook(\\\\\\\"prepare params\\\\\\\",this._bound_setExportWhenConnectedStatus)}_setExportWhenConnectedStatus(){var t,e;(null===(e=null===(t=this.material_node)||void 0===t?void 0:t.assemblerController)||void 0===e?void 0:e.allow_attribute_exports())&&this.p.texportWhenConnected.set(1)}setAttribSize(t){this.p.type.set(t-1)}get input_name(){return wf.INPUT_NAME}get output_name(){return wf.OUTPUT_NAME}setLines(t){t.assembler().set_node_lines_attribute(this,t)}get attribute_name(){return this.pv.name.trim()}gl_type(){return this.io.outputs.namedOutputConnectionPoints()[0].type()}set_gl_type(t){this.p.type.set(xf.indexOf(t))}connected_input_node(){return this.io.inputs.named_input(wf.INPUT_NAME)}connected_input_connection_point(){return this.io.inputs.named_input_connection_point(wf.INPUT_NAME)}output_connection_point(){return this.io.outputs.namedOutputConnectionPointsByName(this.output_name)}isImporting(){return this.io.outputs.used_output_names().length>0}isExporting(){if(this.pv.exportWhenConnected){return null!=this.io.inputs.named_input(wf.INPUT_NAME)}return!1}_set_mat_to_recompile_if_is_exporting(){this.isExporting()&&this._set_mat_to_recompile()}_on_create_set_name_if_none(){\\\\\\\"\\\\\\\"==this.pv.name&&this.p.name.set(this.name())}}wf.INPUT_NAME=\\\\\\\"in\\\\\\\",wf.OUTPUT_NAME=\\\\\\\"val\\\\\\\";class Tf{constructor(t=[]){this._definitions=t,this._errored=!1}get errored(){return this._errored}get error_message(){return this._error_message}uniq(){const t=new Map,e=[];for(let n of this._definitions)if(!this._errored){const i=n.name(),s=t.get(i);s?s.data_type!=n.data_type&&(this._errored=!0,this._error_message=`attempt to create '${n.name()}' with types '${n.data_type}' by node '${n.node.path()}', when there is already an existing with type ${s.data_type} from node '${s.node.path()}'`,console.warn(\\\\\\\"emitting error message:\\\\\\\",this._error_message)):(t.set(i,n),e.push(i))}const n=[];for(let i of e){const e=t.get(i);e&&n.push(e)}return n}}var Af,Mf;!function(t){t.ATTRIBUTE=\\\\\\\"attribute\\\\\\\",t.FUNCTION=\\\\\\\"function\\\\\\\",t.UNIFORM=\\\\\\\"uniform\\\\\\\",t.VARYING=\\\\\\\"varying\\\\\\\"}(Af||(Af={}));class Ef{constructor(t,e,n,i){this._definition_type=t,this._data_type=e,this._node=n,this._name=i}get definition_type(){return this._definition_type}get data_type(){return this._data_type}get node(){return this._node}name(){return this._name}collection_instance(){return new Tf}}class Sf extends Ef{constructor(t,e,n){super(Af.ATTRIBUTE,e,t,n),this._node=t,this._data_type=e,this._name=n}get line(){return`attribute ${this.data_type} ${this.name()}`}}class Cf extends Ef{constructor(t,e){super(Af.FUNCTION,Uo.FLOAT,t,e),this._node=t,this._name=e}get line(){return this.name()}}class Nf extends Ef{constructor(t,e,n){super(Af.UNIFORM,e,t,n),this._node=t,this._data_type=e,this._name=n}get line(){return`uniform ${this.data_type} ${this.name()}`}}class Lf extends Ef{constructor(t,e,n){super(Af.VARYING,e,t,n),this._node=t,this._data_type=e,this._name=n}get line(){return`varying ${this.data_type} ${this.name()}`}}!function(t){t.VERTEX=\\\\\\\"vertex\\\\\\\",t.FRAGMENT=\\\\\\\"fragment\\\\\\\",t.LEAVES_FROM_NODES_SHADER=\\\\\\\"leaves_from_nodes_shader\\\\\\\"}(Mf||(Mf={}));const Of={position:\\\\\\\"vec3( position )\\\\\\\"};class Pf extends _f{handle_globals_node(t,e,n){var i,s;const r=t.io.outputs.namedOutputConnectionPointsByName(e);if(!r)return;const o=t.glVarName(e),a=r.type(),l=new Lf(t,a,o);n.addDefinitions(t,[l]);const c=null===(s=null===(i=t.material_node)||void 0===i?void 0:i.assemblerController)||void 0===s?void 0:s.assembler;if(!c)return;const h=c.shader_config(n.current_shader_name);if(!h)return;const u=h.dependencies(),d=[],p=`${o} = modelMatrix * vec4( position, 1.0 )`,_=`${o} = normalize( mat3( modelMatrix[0].xyz, modelMatrix[1].xyz, modelMatrix[2].xyz ) * normal )`;switch(e){case\\\\\\\"worldPosition\\\\\\\":d.push(p);break;case\\\\\\\"worldNormal\\\\\\\":d.push(_);break;default:d.push(`${o} = ${a}(${e})`)}for(let e of u)n.addDefinitions(t,[l],e),n.addBodyLines(t,d,e);0==u.length&&n.addBodyLines(t,d)}static variable_config_default(t){return Of[t]}variable_config_default(t){return Pf.variable_config_default(t)}read_attribute(t,e,n,i){return Pf.read_attribute(t,e,n,i)}static read_attribute(t,e,n,i){var s,r;Pf.PRE_DEFINED_ATTRIBUTES.indexOf(n)<0&&i.addDefinitions(t,[new Sf(t,e,n)],Mf.VERTEX);const o=i.current_shader_name;switch(o){case Mf.VERTEX:return n;case Mf.FRAGMENT:{if(!(t instanceof wf))return;const a=\\\\\\\"varying_\\\\\\\"+t.glVarName(t.output_name),l=new Lf(t,e,a),c=new Map;c.set(Mf.FRAGMENT,[]);const u=new Map;u.set(Mf.FRAGMENT,[]),h.pushOnArrayAtEntry(c,o,l);const d=`${a} = ${e}(${n})`,p=null===(r=null===(s=t.material_node)||void 0===s?void 0:s.assemblerController)||void 0===r?void 0:r.assembler.shader_config(o);if(p){const e=p.dependencies();for(let t of e)h.pushOnArrayAtEntry(c,t,l),h.pushOnArrayAtEntry(u,t,d);c.forEach(((e,n)=>{i.addDefinitions(t,e,n)})),u.forEach(((e,n)=>{i.addBodyLines(t,e,n)}))}return a}}}handle_attribute_node(t,e,n,i){return Pf.read_attribute(t,e,n,i)}}Pf.PRE_DEFINED_ATTRIBUTES=[\\\\\\\"position\\\\\\\",\\\\\\\"color\\\\\\\",\\\\\\\"normal\\\\\\\",\\\\\\\"uv\\\\\\\",\\\\\\\"uv2\\\\\\\",\\\\\\\"morphTarget0\\\\\\\",\\\\\\\"morphTarget1\\\\\\\",\\\\\\\"morphTarget2\\\\\\\",\\\\\\\"morphTarget3\\\\\\\",\\\\\\\"skinIndex\\\\\\\",\\\\\\\"skinWeight\\\\\\\"],Pf.IF_RULE={uv:\\\\\\\"defined( USE_MAP ) || defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( USE_SPECULARMAP ) || defined( USE_ALPHAMAP ) || defined( USE_EMISSIVEMAP ) || defined( USE_ROUGHNESSMAP ) || defined( USE_METALNESSMAP )\\\\\\\"};const Rf=[Uo.FLOAT,Uo.VEC2,Uo.VEC3,Uo.VEC4];const If=new class extends ua{constructor(){super(...arguments),this.name=ha.STRING(\\\\\\\"\\\\\\\"),this.type=ha.INTEGER(0,{menu:{entries:Rf.map(((t,e)=>({name:t,value:e})))}})}};class Ff extends gf{constructor(){super(...arguments),this.paramsConfig=If,this._on_create_set_name_if_none_bound=this._on_create_set_name_if_none.bind(this)}static type(){return\\\\\\\"varyingWrite\\\\\\\"}initializeNode(){this.addPostDirtyHook(\\\\\\\"_set_mat_to_recompile\\\\\\\",this._set_mat_to_recompile.bind(this)),this.lifecycle.add_on_create_hook(this._on_create_set_name_if_none_bound),this.io.connection_points.initializeNode(),this.io.connection_points.set_input_name_function((()=>this.input_name)),this.io.connection_points.set_expected_input_types_function((()=>[Rf[this.pv.type]])),this.io.connection_points.set_expected_output_types_function((()=>[])),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name])}))}))}get input_name(){return Ff.INPUT_NAME}setLines(t){if(t.current_shader_name==Mf.VERTEX){const e=this.gl_type();if(!e)return;const n=this.pv.name,i=new Lf(this,e,n),s=`${n} = ${mf.any(this.variableForInput(Ff.INPUT_NAME))}`;t.addDefinitions(this,[i],Mf.VERTEX),t.addBodyLines(this,[s],Mf.VERTEX)}}get attribute_name(){return this.pv.name.trim()}gl_type(){const t=this.io.inputs.namedInputConnectionPoints()[0];if(t)return t.type()}set_gl_type(t){this.p.type.set(Rf.indexOf(t))}_on_create_set_name_if_none(){\\\\\\\"\\\\\\\"==this.pv.name&&this.p.name.set(this.name())}}Ff.INPUT_NAME=\\\\\\\"vertex\\\\\\\";class Df{static findOutputNodes(t){return t.nodesByType(\\\\\\\"output\\\\\\\")}static findParamGeneratingNodes(t){var e;const n=[];return null===(e=t.childrenController)||void 0===e||e.traverseChildren((t=>{const e=t;e.paramsGenerating()&&n.push(e)})),n}static findVaryingNodes(t){return t.nodesByType(Ff.type())}static findAttributeExportNodes(t){return t.nodesByType(wf.type()).filter((t=>t.isExporting()))}}class Bf{static overlay(t,e){return new Promise(((n,i)=>{let s=document.createElement(\\\\\\\"canvas\\\\\\\");s.width=Math.max(t.width,e.width),s.height=Math.max(t.height,e.height);let r=s.getContext(\\\\\\\"2d\\\\\\\");r.drawImage(t,0,0,t.width,t.height),r.drawImage(e,0,0,e.width,e.height);const o=s.toDataURL(\\\\\\\"image/png\\\\\\\"),a=new Image;a.onload=()=>{n(a)},a.src=o}))}static create_white_image(t,e){return new Promise(((n,i)=>{let s=document.createElement(\\\\\\\"canvas\\\\\\\");s.width=t,s.height=e;let r=s.getContext(\\\\\\\"2d\\\\\\\");r.beginPath(),r.rect(0,0,t,e),r.fillStyle=\\\\\\\"white\\\\\\\",r.fill();const o=s.toDataURL(\\\\\\\"image/png\\\\\\\"),a=new Image;a.onload=()=>{n(a)},a.src=o}))}static make_square(t){return new Promise(((e,n)=>{let i=document.createElement(\\\\\\\"canvas\\\\\\\");const s=Math.min(t.width,t.height),r=t.width/t.height;i.width=s,i.height=s;let o=i.getContext(\\\\\\\"2d\\\\\\\");const a=r>1,l=a?(t.width-s)/2:(t.height-s)/2;a?o.drawImage(t,l,0,s,s,0,0,s,s):o.drawImage(t,0,l,s,s,0,0,s,s);const c=i.toDataURL(\\\\\\\"image/png\\\\\\\"),h=new Image;h.onload=()=>{e(h)},h.src=c}))}static async image_to_blob(t){return new Promise((function(e,n){try{let i=new XMLHttpRequest;i.open(\\\\\\\"GET\\\\\\\",t.src),i.responseType=\\\\\\\"blob\\\\\\\",i.onerror=function(){n(\\\\\\\"Network error.\\\\\\\")},i.onload=function(){200===i.status?e(i.response):n(\\\\\\\"Loading error:\\\\\\\"+i.statusText)},i.send()}catch(t){n(t.message)}}))}static data_from_url(t){return new Promise(((e,n)=>{const i=new Image;i.crossOrigin=\\\\\\\"Anonymous\\\\\\\",i.onload=()=>{const t=this.data_from_image(i);e(t)},i.src=t}))}static data_from_image(t){const e=document.createElement(\\\\\\\"canvas\\\\\\\");e.width=t.width,e.height=t.height;const n=e.getContext(\\\\\\\"2d\\\\\\\");return n.drawImage(t,0,0,t.width,t.height),n.getImageData(0,0,t.width,t.height)}}var zf;!function(t){t.Uint8Array=\\\\\\\"Uint8Array\\\\\\\",t.Uint8ClampedArray=\\\\\\\"Uint8ClampedArray\\\\\\\",t.Float32Array=\\\\\\\"Float32Array\\\\\\\"}(zf||(zf={}));class kf{constructor(t){this.buffer_type=t}from_render_target(t,e){return this._data_texture&&this._same_dimensions(e.texture)||(this._data_texture=this._create_data_texture(e.texture)),this._copy_to_data_texture(t,e),this._data_texture}from_texture(t){const e=Bf.data_from_image(t.image);this._data_texture&&this._same_dimensions(t)||(this._data_texture=this._create_data_texture(t));const n=e.width*e.height,i=e.data,s=this._data_texture.image.data,r=4*n;for(let t=0;t0:s.vertexColors=t.vertexColors),void 0!==t.uniforms)for(const e in t.uniforms){const i=t.uniforms[e];switch(s.uniforms[e]={},i.type){case\\\\\\\"t\\\\\\\":s.uniforms[e].value=n(i.value);break;case\\\\\\\"c\\\\\\\":s.uniforms[e].value=(new D.a).setHex(i.value);break;case\\\\\\\"v2\\\\\\\":s.uniforms[e].value=(new d.a).fromArray(i.value);break;case\\\\\\\"v3\\\\\\\":s.uniforms[e].value=(new p.a).fromArray(i.value);break;case\\\\\\\"v4\\\\\\\":s.uniforms[e].value=(new _.a).fromArray(i.value);break;case\\\\\\\"m3\\\\\\\":s.uniforms[e].value=(new G.a).fromArray(i.value);break;case\\\\\\\"m4\\\\\\\":s.uniforms[e].value=(new A.a).fromArray(i.value);break;default:s.uniforms[e].value=i.value}}if(void 0!==t.defines&&(s.defines=t.defines),void 0!==t.vertexShader&&(s.vertexShader=t.vertexShader),void 0!==t.fragmentShader&&(s.fragmentShader=t.fragmentShader),void 0!==t.extensions)for(const e in t.extensions)s.extensions[e]=t.extensions[e];if(void 0!==t.shading&&(s.flatShading=1===t.shading),void 0!==t.size&&(s.size=t.size),void 0!==t.sizeAttenuation&&(s.sizeAttenuation=t.sizeAttenuation),void 0!==t.map&&(s.map=n(t.map)),void 0!==t.matcap&&(s.matcap=n(t.matcap)),void 0!==t.alphaMap&&(s.alphaMap=n(t.alphaMap)),void 0!==t.bumpMap&&(s.bumpMap=n(t.bumpMap)),void 0!==t.bumpScale&&(s.bumpScale=t.bumpScale),void 0!==t.normalMap&&(s.normalMap=n(t.normalMap)),void 0!==t.normalMapType&&(s.normalMapType=t.normalMapType),void 0!==t.normalScale){let e=t.normalScale;!1===Array.isArray(e)&&(e=[e,e]),s.normalScale=(new d.a).fromArray(e)}return void 0!==t.displacementMap&&(s.displacementMap=n(t.displacementMap)),void 0!==t.displacementScale&&(s.displacementScale=t.displacementScale),void 0!==t.displacementBias&&(s.displacementBias=t.displacementBias),void 0!==t.roughnessMap&&(s.roughnessMap=n(t.roughnessMap)),void 0!==t.metalnessMap&&(s.metalnessMap=n(t.metalnessMap)),void 0!==t.emissiveMap&&(s.emissiveMap=n(t.emissiveMap)),void 0!==t.emissiveIntensity&&(s.emissiveIntensity=t.emissiveIntensity),void 0!==t.specularMap&&(s.specularMap=n(t.specularMap)),void 0!==t.specularIntensityMap&&(s.specularIntensityMap=n(t.specularIntensityMap)),void 0!==t.specularTintMap&&(s.specularTintMap=n(t.specularTintMap)),void 0!==t.envMap&&(s.envMap=n(t.envMap)),void 0!==t.envMapIntensity&&(s.envMapIntensity=t.envMapIntensity),void 0!==t.reflectivity&&(s.reflectivity=t.reflectivity),void 0!==t.refractionRatio&&(s.refractionRatio=t.refractionRatio),void 0!==t.lightMap&&(s.lightMap=n(t.lightMap)),void 0!==t.lightMapIntensity&&(s.lightMapIntensity=t.lightMapIntensity),void 0!==t.aoMap&&(s.aoMap=n(t.aoMap)),void 0!==t.aoMapIntensity&&(s.aoMapIntensity=t.aoMapIntensity),void 0!==t.gradientMap&&(s.gradientMap=n(t.gradientMap)),void 0!==t.clearcoatMap&&(s.clearcoatMap=n(t.clearcoatMap)),void 0!==t.clearcoatRoughnessMap&&(s.clearcoatRoughnessMap=n(t.clearcoatRoughnessMap)),void 0!==t.clearcoatNormalMap&&(s.clearcoatNormalMap=n(t.clearcoatNormalMap)),void 0!==t.clearcoatNormalScale&&(s.clearcoatNormalScale=(new d.a).fromArray(t.clearcoatNormalScale)),void 0!==t.transmissionMap&&(s.transmissionMap=n(t.transmissionMap)),void 0!==t.thicknessMap&&(s.thicknessMap=n(t.thicknessMap)),s}setTextures(t){return this.textures=t,this}}class Kf{constructor(t){this.node=t,this._found_uniform_texture_by_id=new Map,this._found_uniform_textures_id_by_uniform_name=new Map,this._found_param_texture_by_id=new Map,this._found_param_textures_id_by_uniform_name=new Map}toJSON(){}load(t){}_materialToJson(t,e){let n;this._unassignTextures(t);try{n=t.toJSON({}),n&&(n.shadowSide=t.shadowSide,n.colorWrite=t.colorWrite)}catch(e){console.error(\\\\\\\"failed to save material data\\\\\\\"),console.log(t)}return n&&null!=t.lights&&(n.lights=t.lights),n&&(n.uuid=`${e.node.path()}-${e.suffix}`),this._reassignTextures(t),n}_unassignTextures(t){this._found_uniform_texture_by_id.clear(),this._found_uniform_textures_id_by_uniform_name.clear(),this._found_param_texture_by_id.clear(),this._found_param_textures_id_by_uniform_name.clear();const e=t.uniforms,n=Object.keys(e);for(let t of n){const n=e[t].value;if(n&&n.uuid){const i=n;this._found_uniform_texture_by_id.set(i.uuid,n),this._found_uniform_textures_id_by_uniform_name.set(t,i.uuid),e[t].value=null}}const i=Object.keys(t);for(let e of i){const n=t[e];if(n&&n.uuid){const i=n;this._found_param_texture_by_id.set(i.uuid,i),this._found_param_textures_id_by_uniform_name.set(e,i.uuid),t[e]=null}}}_reassignTextures(t){const e=[],n=[];this._found_uniform_textures_id_by_uniform_name.forEach(((t,n)=>{e.push(n)})),this._found_param_textures_id_by_uniform_name.forEach(((t,e)=>{n.push(e)}));const i=t.uniforms;for(let t of e){const e=this._found_uniform_textures_id_by_uniform_name.get(t);if(e){const n=this._found_uniform_texture_by_id.get(e);n&&(i[t].value=n)}}for(let e of n){const n=this._found_param_textures_id_by_uniform_name.get(e);if(n){const i=this._found_param_texture_by_id.get(n);i&&(t[e]=i)}}}_loadMaterial(t){t.color=void 0;const e=(new Zf).parse(t);t.shadowSide&&(e.shadowSide=t.shadowSide),null!=t.lights&&(e.lights=t.lights);const n=e.uniforms.uv2Transform;n&&this.mat4ToMat3(n);const i=e.uniforms.uvTransform;return i&&this.mat4ToMat3(i),e}mat4ToMat3(t){const e=t.value;if(null==e.elements[e.elements.length-1]){const n=new G.a;for(let t=0;t{const n=t.texture();e.value=n}));else{const t=n.containerController.container().texture();e.value=t}else e.value=null}static async set_uniform_value_from_texture_from_node_path_param(t,e){t.isDirty()&&await t.compute();const n=t.value.nodeWithContext(ts.COP);if(n)if(n.isDirty())n.compute().then((t=>{const n=t.texture();e.value=n}));else{const t=n.containerController.container().texture();e.value=t}else e.value=null}set_uniform_value_from_ramp(t,e){e.value=t.rampTexture()}}class eg extends Kf{constructor(t){super(t),this.node=t}toJSON(){const t=this.node.assemblerController;if(!t)return;const e=[],n=t.assembler.param_configs();for(let t of n)e.push([t.name(),t.uniform_name]);return{fragment_shader:this.node.texture_material.fragmentShader,uniforms:this.node.texture_material.uniforms,param_uniform_pairs:e,uniforms_time_dependent:t.assembler.uniformsTimeDependent(),uniforms_resolution_dependent:t.assembler.uniforms_resolution_dependent()}}load(t){this.node.texture_material.fragmentShader=t.fragment_shader,this.node.texture_material.uniforms=t.uniforms,rg.handleDependencies(this.node,t.uniforms_time_dependent||!1,t.uniforms);for(let e of t.param_uniform_pairs){const n=this.node.params.get(e[0]),i=t.uniforms[e[1]];n&&i&&n.options.set({callback:()=>{tg.callback(n,i)}})}}}class ng{static isChrome(){return navigator&&null!=navigator.userAgent&&-1!=navigator.userAgent.indexOf(\\\\\\\"Chrome\\\\\\\")}static isMobile(){return/Android|webOS|iPhone|iPad|iPod|BlackBerry|IEMobile|Opera Mini/i.test(navigator.userAgent)}static isiOS(){return/(iPad|iPhone|iPod)/g.test(navigator.userAgent)}static isAndroid(){return/(Android)/g.test(navigator.userAgent)}static isTouchDevice(){var t=document.createElement(\\\\\\\"div\\\\\\\");return t.setAttribute(\\\\\\\"ongesturestart\\\\\\\",\\\\\\\"return;\\\\\\\"),\\\\\\\"function\\\\\\\"==typeof t.ongesturestart}}const ig=[256,256];const sg=new class extends ua{constructor(){super(...arguments),this.resolution=ha.VECTOR2(ig),this.useCameraRenderer=ha.BOOLEAN(0)}};class rg extends df{constructor(){super(...arguments),this.paramsConfig=sg,this.persisted_config=new eg(this),this._assembler_controller=this._create_assembler_controller(),this._texture_mesh=new B.a(new L(2,2)),this.texture_material=new F({uniforms:{},vertexShader:\\\\\\\"\\\\nvoid main()\\\\t{\\\\n\\\\tgl_Position = vec4( position, 1.0 );\\\\n}\\\\n\\\\\\\",fragmentShader:\\\\\\\"\\\\\\\"}),this._texture_scene=new vs,this._texture_camera=new of.a,this._children_controller_context=ts.GL,this._cook_main_without_inputs_when_dirty_bound=this._cook_main_without_inputs_when_dirty.bind(this),this._boundRenderOnTarget=this.renderOnTarget.bind(this)}static type(){return\\\\\\\"builder\\\\\\\"}usedAssembler(){return jn.GL_TEXTURE}_create_assembler_controller(){const t=li.assemblersRegister.assembler(this,this.usedAssembler());if(t){const e=new Pf;return t.set_assembler_globals_handler(e),t}}get assemblerController(){return this._assembler_controller}initializeNode(){this._texture_mesh.material=this.texture_material,this._texture_mesh.scale.multiplyScalar(.25),this._texture_scene.add(this._texture_mesh),this._texture_camera.position.z=1,this.addPostDirtyHook(\\\\\\\"_cook_main_without_inputs_when_dirty\\\\\\\",(()=>{setTimeout(this._cook_main_without_inputs_when_dirty_bound,0)}))}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}childrenAllowed(){return this.assemblerController?super.childrenAllowed():(this.scene().markAsReadOnly(this),!1)}async _cook_main_without_inputs_when_dirty(){await this.cookController.cookMainWithoutInputs()}async cook(){this.compileIfRequired(),this.renderOnTarget()}shaders_by_name(){return{fragment:this._fragment_shader}}compileIfRequired(){var t;(null===(t=this.assemblerController)||void 0===t?void 0:t.compileRequired())&&this.compile()}compile(){const t=this.assemblerController;if(!t)return;const e=Df.findOutputNodes(this);if(e.length>1)return void this.states.error.set(\\\\\\\"only one output node allowed\\\\\\\");if(e[0]){const n=e;t.assembler.set_root_nodes(n),t.assembler.update_fragment_shader();const i=t.assembler.fragment_shader(),s=t.assembler.uniforms();i&&s&&(this._fragment_shader=i,this._uniforms=s),rg.handleDependencies(this,t.assembler.uniformsTimeDependent())}this._fragment_shader&&this._uniforms&&(this.texture_material.fragmentShader=this._fragment_shader,this.texture_material.uniforms=this._uniforms,this.texture_material.needsUpdate=!0,this.texture_material.uniforms.resolution={value:this.pv.resolution}),t.post_compile()}static handleDependencies(t,e,n){const i=t.scene();if(e){n&&i.uniformsController.addTimeDependentUniformOwner(t._uniformCallbackName(),n);const e=t._callbackName();i.registeredBeforeTickCallbacks().has(e)||i.registerOnBeforeTick(e,t._boundRenderOnTarget)}else t._removeCallbacks()}_callbackName(){return`cop/builder_${this.graphNodeId()}`}_uniformCallbackName(){return`cop/builder_uniforms_${this.graphNodeId()}`}dispose(){super.dispose(),this._removeCallbacks()}_removeCallbacks(){const t=this.scene();t.uniformsController.removeTimeDependentUniformOwner(this._uniformCallbackName()),t.unRegisterOnBeforeTick(this._callbackName())}async renderOnTarget(){if(this.createRenderTargetIfRequired(),!this._render_target)return;this._renderer_controller=this._renderer_controller||new Uf(this);const t=await this._renderer_controller.renderer(),e=t.getRenderTarget();if(t.setRenderTarget(this._render_target),t.clear(),t.render(this._texture_scene,this._texture_camera),t.setRenderTarget(e),this._render_target.texture)if(this.pv.useCameraRenderer)this.setTexture(this._render_target.texture);else{this._data_texture_controller=this._data_texture_controller||new kf(zf.Float32Array);const e=this._data_texture_controller.from_render_target(t,this._render_target);this.setTexture(e)}else this.cookController.endCook()}renderTarget(){return this._render_target=this._render_target||this._createRenderTarget(this.pv.resolution.x,this.pv.resolution.y)}createRenderTargetIfRequired(){var t;this._render_target&&this._renderTargetResolutionValid()||(this._render_target=this._createRenderTarget(this.pv.resolution.x,this.pv.resolution.y),null===(t=this._data_texture_controller)||void 0===t||t.reset())}_renderTargetResolutionValid(){if(this._render_target){const t=this._render_target.texture.image;return t.width==this.pv.resolution.x&&t.height==this.pv.resolution.y}return!1}_createRenderTarget(t,e){if(this._render_target){const n=this._render_target.texture.image;if(n.width==t&&n.height==e)return this._render_target}const n=w.n,i=w.n,s=w.V,r=w.ob;var o=new K(t,e,{wrapS:n,wrapT:i,minFilter:s,magFilter:r,format:w.Ib,type:ng.isiOS()?w.M:w.G,stencilBuffer:!1,depthBuffer:!1});return li.warn(\\\\\\\"created render target\\\\\\\",this.path(),t,e),o}}const og=[{LinearEncoding:w.U},{sRGBEncoding:w.ld},{GammaEncoding:w.J},{RGBEEncoding:w.gc},{LogLuvEncoding:w.bb},{RGBM7Encoding:w.lc},{RGBM16Encoding:w.kc},{RGBDEncoding:w.fc},{BasicDepthPacking:w.j},{RGBADepthPacking:w.Hb}],ag=[{ClampToEdgeWrapping:w.n},{RepeatWrapping:w.wc},{MirroredRepeatWrapping:w.kb}],lg=[{UVMapping:w.Yc},{CubeReflectionMapping:w.o},{CubeRefractionMapping:w.p},{EquirectangularReflectionMapping:w.D},{EquirectangularRefractionMapping:w.E},{CubeUVReflectionMapping:w.q},{CubeUVRefractionMapping:w.r}],cg=[{UnsignedByteType:w.Zc},{ByteType:w.l},{ShortType:w.Mc},{UnsignedShortType:w.fd},{IntType:w.N},{UnsignedIntType:w.bd},{FloatType:w.G},{HalfFloatType:w.M},{UnsignedShort4444Type:w.cd},{UnsignedShort5551Type:w.dd},{UnsignedShort565Type:w.ed},{UnsignedInt248Type:w.ad}],hg=[{AlphaFormat:w.f},{RedFormat:w.tc},{RedIntegerFormat:w.uc},{RGFormat:w.rc},{RGIntegerFormat:w.sc},{RGBFormat:w.ic},{RGBIntegerFormat:w.jc},{RGBAFormat:w.Ib},{RGBAIntegerFormat:w.Jb},{LuminanceFormat:w.gb},{LuminanceAlphaFormat:w.fb},{DepthFormat:w.x},{DepthStencilFormat:w.y}];function ug(t){return{cook:!1,callback:e=>{Sg[t](e)}}}const dg={ENCODING:w.U,FORMAT:w.Ib,MAPPING:w.Yc,MIN_FILTER:w.V,MAG_FILTER:w.V,TYPE:w.Zc,WRAPPING:w.wc},pg=ug(\\\\\\\"PARAM_CALLBACK_update_encoding\\\\\\\"),_g=ug(\\\\\\\"PARAM_CALLBACK_update_mapping\\\\\\\"),mg=ug(\\\\\\\"PARAM_CALLBACK_update_wrap\\\\\\\"),fg=ug(\\\\\\\"PARAM_CALLBACK_update_filter\\\\\\\"),gg=ug(\\\\\\\"PARAM_CALLBACK_update_anisotropy\\\\\\\"),vg=ug(\\\\\\\"PARAM_CALLBACK_update_flipY\\\\\\\"),yg=ug(\\\\\\\"PARAM_CALLBACK_update_transform\\\\\\\"),xg=ug(\\\\\\\"PARAM_CALLBACK_update_repeat\\\\\\\"),bg=ug(\\\\\\\"PARAM_CALLBACK_update_offset\\\\\\\"),wg=ug(\\\\\\\"PARAM_CALLBACK_update_rotation\\\\\\\"),Tg=ug(\\\\\\\"PARAM_CALLBACK_update_center\\\\\\\"),Ag=ug(\\\\\\\"PARAM_CALLBACK_update_advanced\\\\\\\");function Mg(t,e){return class extends t{constructor(){super(...arguments),this.tencoding=ha.BOOLEAN((null==e?void 0:e.tencoding)||0,{...pg}),this.encoding=ha.INTEGER((null==e?void 0:e.encoding)||dg.ENCODING,{visibleIf:{tencoding:1},menu:{entries:og.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))},...pg}),this.tmapping=ha.BOOLEAN(0,{..._g}),this.mapping=ha.INTEGER(dg.MAPPING,{visibleIf:{tmapping:1},menu:{entries:lg.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))},..._g}),this.twrap=ha.BOOLEAN(0,{...mg}),this.wrapS=ha.INTEGER(dg.WRAPPING,{visibleIf:{twrap:1},menu:{entries:ag.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))},...mg}),this.wrapT=ha.INTEGER(dg.WRAPPING,{visibleIf:{twrap:1},menu:{entries:ag.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))},separatorAfter:!0,...mg}),this.tminFilter=ha.BOOLEAN(0,{...fg}),this.minFilter=ha.INTEGER(Km,{visibleIf:{tminFilter:1},menu:{entries:tf},...fg}),this.tmagFilter=ha.BOOLEAN(0,{...fg}),this.magFilter=ha.INTEGER(Zm,{visibleIf:{tmagFilter:1},menu:{entries:Qm},...fg}),this.tanisotropy=ha.BOOLEAN(0,{...gg}),this.useRendererMaxAnisotropy=ha.BOOLEAN(0,{visibleIf:{tanisotropy:1},...gg}),this.anisotropy=ha.INTEGER(2,{visibleIf:{tanisotropy:1,useRendererMaxAnisotropy:0},range:[0,32],rangeLocked:[!0,!1],...gg}),this.tflipY=ha.BOOLEAN(0,{...vg}),this.flipY=ha.BOOLEAN(0,{visibleIf:{tflipY:1},...vg}),this.ttransform=ha.BOOLEAN(0,{...yg}),this.offset=ha.VECTOR2([0,0],{visibleIf:{ttransform:1},...bg}),this.repeat=ha.VECTOR2([1,1],{visibleIf:{ttransform:1},...xg}),this.rotation=ha.FLOAT(0,{range:[-1,1],visibleIf:{ttransform:1},...wg}),this.center=ha.VECTOR2([0,0],{visibleIf:{ttransform:1},...Tg}),this.tadvanced=ha.BOOLEAN(0,{...Ag}),this.tformat=ha.BOOLEAN(0,{visibleIf:{tadvanced:1},...Ag}),this.format=ha.INTEGER(dg.FORMAT,{visibleIf:{tadvanced:1,tformat:1},menu:{entries:hg.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))},...Ag}),this.ttype=ha.BOOLEAN(0,{visibleIf:{tadvanced:1},...Ag}),this.type=ha.INTEGER(dg.TYPE,{visibleIf:{tadvanced:1,ttype:1},menu:{entries:cg.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))},...Ag})}}}class Eg extends(Mg(ua)){}new Eg;class Sg{constructor(t){this.node=t}async update(t){const e=this.node.pv;this._updateEncoding(t,e),this._updateAdvanced(t,e),this._updateMapping(t,e),this._updateWrap(t,e),this._updateFilter(t,e),this._updateFlip(t,e),await this._updateAnisotropy(t,e),this._updateTransform(t)}_updateEncoding(t,e){e.tencoding?t.encoding=e.encoding:t.encoding=dg.ENCODING,t.needsUpdate=!0}_updateAdvanced(t,e){e.tadvanced&&(e.tformat?t.format=e.format:t.format=dg.FORMAT,e.ttype?t.type=e.type:t.type=dg.TYPE),t.needsUpdate=!0}_updateMapping(t,e){e.tmapping?t.mapping=e.mapping:t.mapping=dg.MAPPING,t.needsUpdate=!0}_updateWrap(t,e){e.twrap?(t.wrapS=e.wrapS,t.wrapT=e.wrapT):(t.wrapS=dg.WRAPPING,t.wrapT=dg.WRAPPING),t.needsUpdate=!0}_updateFilter(t,e){e.tminFilter?t.minFilter=e.minFilter:t.minFilter=w.V,e.tmagFilter?t.magFilter=e.magFilter:t.magFilter=w.V,t.needsUpdate=!0}_updateFlip(t,e){t.flipY=e.tflipY&&e.flipY,t.needsUpdate=!0}async _updateAnisotropy(t,e){if(e.tanisotropy){if(e.useRendererMaxAnisotropy)t.anisotropy=await this._maxRendererAnisotropy();else{const n=e.anisotropy;t.anisotropy=n<=2?n:Math.min(n,await this._maxRendererAnisotropy())}t.needsUpdate=!0}else t.anisotropy=1}async _maxRendererAnisotropy(){this._renderer_controller=this._renderer_controller||new Uf(this.node);return(await this._renderer_controller.renderer()).capabilities.getMaxAnisotropy()}_updateTransform(t){if(!this.node.pv.ttransform)return t.offset.set(0,0),t.rotation=0,t.repeat.set(1,1),void t.center.set(0,0);this._updateTransformOffset(t,!1),this._updateTransformRepeat(t,!1),this._updateTransformRotation(t,!1),this._updateTransformCenter(t,!1),t.updateMatrix()}async _updateTransformOffset(t,e){t.offset.copy(this.node.pv.offset),e&&t.updateMatrix()}async _updateTransformRepeat(t,e){t.repeat.copy(this.node.pv.repeat),e&&t.updateMatrix()}async _updateTransformRotation(t,e){t.rotation=this.node.pv.rotation,e&&t.updateMatrix()}async _updateTransformCenter(t,e){t.center.copy(this.node.pv.center),e&&t.updateMatrix()}static PARAM_CALLBACK_update_encoding(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateEncoding(e,t.pv)}static PARAM_CALLBACK_update_mapping(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateMapping(e,t.pv)}static PARAM_CALLBACK_update_wrap(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateWrap(e,t.pv)}static PARAM_CALLBACK_update_filter(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateFilter(e,t.pv)}static PARAM_CALLBACK_update_anisotropy(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateAnisotropy(e,t.pv)}static PARAM_CALLBACK_update_flipY(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateFlip(e,t.pv)}static PARAM_CALLBACK_update_transform(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateTransform(e)}static PARAM_CALLBACK_update_offset(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateTransformOffset(e,!0)}static PARAM_CALLBACK_update_repeat(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateTransformRepeat(e,!0)}static PARAM_CALLBACK_update_rotation(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateTransformRotation(e,!0)}static PARAM_CALLBACK_update_center(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateTransformCenter(e,!0)}static PARAM_CALLBACK_update_advanced(t){const e=t.containerController.container().texture();e&&t.textureParamsController._updateAdvanced(e,t.pv)}static copyTextureAttributes(t,e){t.encoding=e.encoding,t.mapping=e.mapping,t.wrapS=e.wrapS,t.wrapT=e.wrapT,t.minFilter=e.minFilter,t.magFilter=e.magFilter,t.magFilter=e.magFilter,t.anisotropy=e.anisotropy,t.flipY=e.flipY,t.repeat.copy(e.repeat),t.offset.copy(e.offset),t.center.copy(e.center),t.rotation=e.rotation,t.type=e.type,t.format=e.format,t.needsUpdate=!0}paramLabelsParams(){const t=this.node.p;return[t.tencoding,t.encoding,t.tmapping,t.mapping,t.twrap,t.wrapS,t.wrapT,t.tminFilter,t.minFilter,t.tmagFilter,t.magFilter,t.tflipY,t.flipY]}paramLabels(){const t=[],e=this.node.pv;if(e.tencoding)for(let n of og){const i=Object.keys(n)[0];n[i]==e.encoding&&t.push(`encoding: ${i}`)}if(e.tmapping)for(let n of lg){const i=Object.keys(n)[0];n[i]==e.mapping&&t.push(`mapping: ${i}`)}if(e.twrap){function n(n){for(let i of ag){const s=Object.keys(i)[0];i[s]==e[n]&&t.push(`${n}: ${s}`)}}n(\\\\\\\"wrapS\\\\\\\"),n(\\\\\\\"wrapT\\\\\\\")}if(e.tminFilter)for(let n of Jm){const i=Object.keys(n)[0];n[i]==e.minFilter&&t.push(`minFilter: ${i}`)}if(e.tmagFilter)for(let n of $m){const i=Object.keys(n)[0];n[i]==e.magFilter&&t.push(`magFilter: ${i}`)}return e.tflipY&&t.push(`flipY: ${e.flipY}`),t}}class Cg extends Z.a{constructor(t,e,n,i,s,r,o,a,l){super(t,e,n,i,s,r,o,a,l),this.needsUpdate=!0}}Cg.prototype.isCanvasTexture=!0;class Ng extends(Mg(function(t){return class extends t{constructor(){super(...arguments),this.canvasId=ha.STRING(\\\\\\\"canvas-id\\\\\\\"),this.update=ha.BUTTON(null,{cook:!1,callback:t=>{Og.PARAM_CALLBACK_update(t)}})}}}(ua))){}const Lg=new Ng;class Og extends df{constructor(){super(...arguments),this.paramsConfig=Lg,this.textureParamsController=new Sg(this)}static type(){return\\\\\\\"canvas\\\\\\\"}async cook(){const t=this.pv.canvasId,e=document.getElementById(t);if(!e)return this.states.error.set(`element with id '${t}' not found`),void this.cookController.endCook();if(!(e instanceof HTMLCanvasElement))return this.states.error.set(\\\\\\\"element found is not a canvas\\\\\\\"),void this.cookController.endCook();const n=new Cg(e);await this.textureParamsController.update(n),this.setTexture(n)}static PARAM_CALLBACK_update(t){t.markTextureNeedsUpdate()}markTextureNeedsUpdate(){const t=this.containerController.container().texture();t&&(t.needsUpdate=!0)}}const Pg=new class extends ua{constructor(){super(...arguments),this.resolution=ha.VECTOR2([256,256],{callback:t=>{Rg.PARAM_CALLBACK_reset(t)}}),this.color=ha.COLOR([1,1,1])}};class Rg extends df{constructor(){super(...arguments),this.paramsConfig=Pg}static type(){return\\\\\\\"color\\\\\\\"}cook(){const t=this.pv.resolution.x,e=this.pv.resolution.y;this._data_texture=this._data_texture||this._create_data_texture(t,e);const n=e*t,i=this.pv.color.toArray(),s=255*i[0],r=255*i[1],o=255*i[2],a=this._data_texture.image.data;for(let t=0;t({name:t,value:e})))}})}};class kg extends df{constructor(){super(...arguments),this.paramsConfig=zg}static type(){return Fg.CUBE_CAMERA}async cook(){const t=this.pv.cubeCamera.nodeWithContext(ts.OBJ,this.states.error);if(!t)return this.states.error.set(`cubeCamera not found at '${this.pv.cubeCamera.path()}'`),this.cookController.endCook();const e=t.renderTarget();if(!e)return this.states.error.set(\\\\\\\"cubeCamera has no render target'\\\\\\\"),this.cookController.endCook();const n=e.texture;Bg[this.pv.mode]==Dg.REFLECTION?n.mapping=w.o:n.mapping=w.p,this.setTexture(n)}}var Ug;!function(t){t.REFLECTION=\\\\\\\"reflection\\\\\\\",t.REFRACTION=\\\\\\\"refraction\\\\\\\"}(Ug||(Ug={}));const Gg=[Ug.REFLECTION,Ug.REFRACTION];const Vg=new class extends ua{constructor(){super(...arguments),this.useCameraRenderer=ha.BOOLEAN(1),this.mode=ha.INTEGER(0,{menu:{entries:Gg.map(((t,e)=>({name:t,value:e})))}})}};class Hg extends df{constructor(){super(...arguments),this.paramsConfig=Vg}static type(){return\\\\\\\"envMap\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.NEVER)}async cook(t){const e=t[0];this.convert_texture_to_env_map(e)}async convert_texture_to_env_map(t){this._renderer_controller=this._renderer_controller||new Uf(this);const e=await this._renderer_controller.renderer();if(e){const n=new Tt(e).fromEquirectangular(t);if(this.pv.useCameraRenderer)this._set_mapping(n.texture),this.setTexture(n.texture);else{this._data_texture_controller=this._data_texture_controller||new kf(zf.Uint8Array);const t=this._data_texture_controller.from_render_target(e,n);this._set_mapping(t),this.setTexture(t)}}else this.states.error.set(\\\\\\\"no renderer found to convert the texture to an env map\\\\\\\"),this.cookController.endCook()}_set_mapping(t){Gg[this.pv.mode]==Ug.REFLECTION?t.mapping=w.q:t.mapping=w.r}}class jg extends Z.a{constructor(t,e,n,i,s,r,o,a,l){super(t,e,n,i,s,r,o,a,l),this.format=void 0!==o?o:w.ic,this.minFilter=void 0!==r?r:w.V,this.magFilter=void 0!==s?s:w.V,this.generateMipmaps=!1;const c=this;\\\\\\\"requestVideoFrameCallback\\\\\\\"in t&&t.requestVideoFrameCallback((function e(){c.needsUpdate=!0,t.requestVideoFrameCallback(e)}))}clone(){return new this.constructor(this.image).copy(this)}update(){const t=this.image;!1===\\\\\\\"requestVideoFrameCallback\\\\\\\"in t&&t.readyState>=t.HAVE_CURRENT_DATA&&(this.needsUpdate=!0)}}jg.prototype.isVideoTexture=!0;var Wg=n(80);const qg=\\\\\\\"https://raw.githubusercontent.com/polygonjs/polygonjs-assets/master/\\\\\\\";var Xg=n(28);const Yg=new Xg.b;Yg.setURLModifier((t=>{const e=li.assetUrls.remapedUrl(t);if(e)return e;const n=li.blobs.blobUrl(t);return n||t}));class $g{constructor(t,e,n){this._url=t,this._scene=e,this._node=n,this.loadingManager=Yg}static extension(t){let e=null;try{e=new URL(t).searchParams.get(\\\\\\\"ext\\\\\\\")}catch(t){}if(!e){const n=t.split(\\\\\\\"?\\\\\\\")[0].split(\\\\\\\".\\\\\\\");e=n[n.length-1].toLowerCase()}return e}extension(){return $g.extension(this._url)}async _urlToLoad(){const{storedUrl:t,fullUrl:e}=this._urlData();this._node&&await li.blobs.fetchBlobForNode({storedUrl:t,fullUrl:e,node:this._node});return li.blobs.blobUrl(t)||e}deregisterUrl(){const{storedUrl:t}=this._urlData();li.blobs.deregisterUrl(t)}_urlData(){let t=this._url;const e=this._url.split(\\\\\\\"?\\\\\\\")[0];if(\\\\\\\"h\\\\\\\"!=t[0]){const e=this._scene.assets.root();e&&(t=`${e}${t}`)}return{fullUrl:t,storedUrl:e}}static async _loadMultipleBlobGlobal(t){const e=[];for(let n of t.files){const i=n.storedUrl,s=n.fullUrl,r=t.node;e.push(li.blobs.fetchBlobGlobal({storedUrl:i,fullUrl:s,node:r}))}const n=await Promise.all(e);for(let e of n)e.error&&t.node.states.error.set(t.error)}}$g.loadingManager=Yg;const Jg=[\\\\\\\"mp4\\\\\\\",\\\\\\\"ogv\\\\\\\",\\\\\\\"ogg\\\\\\\"];var Zg;!function(t){t.JPG=\\\\\\\"jpg\\\\\\\",t.JPEG=\\\\\\\"jpeg\\\\\\\",t.PNG=\\\\\\\"png\\\\\\\",t.EXR=\\\\\\\"exr\\\\\\\",t.BASIS=\\\\\\\"basis\\\\\\\",t.HDR=\\\\\\\"hdr\\\\\\\"}(Zg||(Zg={}));const Kg=[Zg.JPEG,Zg.JPG,Zg.PNG,Zg.EXR,Zg.BASIS,Zg.HDR];function Qg(t){const e=t.split(\\\\\\\"?\\\\\\\")[0].split(\\\\\\\".\\\\\\\");return e[e.length-1]}class tv extends $g{constructor(t,e,n,i,s){super(t,i,n),this._param=e,this._node=n,this._scene=i,this._forceVideo=!1,this._forceImage=!1,this._forceVideo=(null==s?void 0:s.forceVideo)||this._forceVideo,this._forceImage=(null==s?void 0:s.forceImage)||this._forceImage}static onTextureLoaded(t){this._onTextureLoadedCallback=t}async load_texture_from_url_or_op(t){let e=null,n=null;if(\\\\\\\"op:\\\\\\\"==this._url.substring(0,3)){const t=this._url.substring(3);if(n=bi.findNode(this._node,t),n)if(n instanceof pf){e=(await n.compute()).texture()}else this._node.states.error.set(\\\\\\\"found node is not a texture node\\\\\\\");else this._node.states.error.set(`no node found in path '${t}'`)}else e=await this._loadUrl(t),e||this._node.states.error.set(`could not load texture ${this._url}`);return n&&this._param.graphPredecessors()[0]!=n&&(this._param.graphDisconnectPredecessors(),this._param.addGraphInput(n)),e}async _loadUrl(t){return new Promise((async(e,n)=>{const i=this.extension(),s=await this._urlToLoad();if(this._forceVideo||Jg.includes(i)){e(await this._loadVideo(s))}else if(this._forceImage||Kg.includes(i))try{e(await this._loadImage(s,t))}catch(t){n()}}))}_loadImage(t,e){return new Promise((async(n,i)=>{const s=this.extension();this.loader_for_ext(s,e).then((async e=>{e?(tv.incrementInProgressLoadsCount(),await tv.waitForMaxConcurrentLoadsQueueFreed(),e.load(t,(e=>{tv.decrementInProgressLoadsCount();const i=tv._onTextureLoadedCallback;i&&i(t,e),n(e)}),void 0,(t=>{tv.decrementInProgressLoadsCount(),li.warn(\\\\\\\"error\\\\\\\",t),i()}))):i()}))}))}_loadVideo(t){return new Promise((async(e,n)=>{tv.incrementInProgressLoadsCount(),await tv.waitForMaxConcurrentLoadsQueueFreed();const i=document.createElement(\\\\\\\"video\\\\\\\");i.setAttribute(\\\\\\\"crossOrigin\\\\\\\",\\\\\\\"anonymous\\\\\\\"),i.setAttribute(\\\\\\\"autoplay\\\\\\\",\\\\\\\"true\\\\\\\"),i.setAttribute(\\\\\\\"loop\\\\\\\",\\\\\\\"true\\\\\\\"),i.onloadedmetadata=function(){i.pause();const n=new jg(i);tv.decrementInProgressLoadsCount();const s=tv._onTextureLoadedCallback;s&&s(t,n),e(n)};const s=document.createElement(\\\\\\\"source\\\\\\\"),r=$g.extension(t);let o=tv.VIDEO_SOURCE_TYPE_BY_EXT[r];o=o||tv._default_video_source_type(t),s.setAttribute(\\\\\\\"type\\\\\\\",o),s.setAttribute(\\\\\\\"src\\\\\\\",t),i.appendChild(s);let a=t;a=\\\\\\\"mp4\\\\\\\"==r?tv.replaceExtension(t,\\\\\\\"ogv\\\\\\\"):tv.replaceExtension(t,\\\\\\\"mp4\\\\\\\");const l=document.createElement(\\\\\\\"source\\\\\\\"),c=$g.extension(a);o=tv.VIDEO_SOURCE_TYPE_BY_EXT[c],o=o||tv._default_video_source_type(t),l.setAttribute(\\\\\\\"type\\\\\\\",o),l.setAttribute(\\\\\\\"src\\\\\\\",t),i.appendChild(l)}))}static module_names(t){switch(t){case Zg.EXR:return[Hn.EXRLoader];case Zg.HDR:return[Hn.RGBELoader];case Zg.BASIS:return[Hn.BasisTextureLoader]}}async loader_for_ext(t,e){switch(t.toLowerCase()){case Zg.EXR:return await this._exr_loader(e);case Zg.HDR:return await this._hdr_loader(e);case Zg.BASIS:return await tv._basis_loader(this._node)}return new Wg.a(this.loadingManager)}async _exr_loader(t){const e=await li.modulesRegister.module(Hn.EXRLoader);if(e){const n=new e(this.loadingManager);return t.tdataType&&n.setDataType(t.dataType),n}}async _hdr_loader(t){const e=await li.modulesRegister.module(Hn.RGBELoader);if(e){const n=new e(this.loadingManager);return t.tdataType&&n.setDataType(t.dataType),n}}static async _basis_loader(t){const e=await li.modulesRegister.module(Hn.BasisTextureLoader);if(e){const n=new e(this.loadingManager),i=li.libs.root(),s=li.libs.BASISPath();if(i||s){const e=`${i||\\\\\\\"\\\\\\\"}${s||\\\\\\\"\\\\\\\"}/`;if(t){const n=[\\\\\\\"basis_transcoder.js\\\\\\\",\\\\\\\"basis_transcoder.wasm\\\\\\\"];await this._loadMultipleBlobGlobal({files:n.map((t=>({storedUrl:`${s}/${t}`,fullUrl:`${e}${t}`}))),node:t,error:\\\\\\\"failed to load basis libraries. Make sure to install them to load .basis files\\\\\\\"})}n.setTranscoderPath(e)}else n.setTranscoderPath(void 0);const r=await li.renderersController.waitForRenderer();return r?n.detectSupport(r):li.warn(\\\\\\\"texture loader found no renderer for basis texture loader\\\\\\\"),n}}static _default_video_source_type(t){return`video/${$g.extension(t)}`}static pixel_data(t){const e=t.image,n=document.createElement(\\\\\\\"canvas\\\\\\\");n.width=e.width,n.height=e.height;const i=n.getContext(\\\\\\\"2d\\\\\\\");if(i)return i.drawImage(e,0,0,e.width,e.height),i.getImageData(0,0,e.width,e.height)}static replaceExtension(t,e){const n=t.split(\\\\\\\"?\\\\\\\"),i=n[0].split(\\\\\\\".\\\\\\\");return i.pop(),i.push(e),[i.join(\\\\\\\".\\\\\\\"),n[1]].join(\\\\\\\"?\\\\\\\")}static setMaxConcurrentLoadsCount(t){this._maxConcurrentLoadsCountMethod=t}static _init_max_concurrent_loads_count(){return this._maxConcurrentLoadsCountMethod?this._maxConcurrentLoadsCountMethod():ng.isChrome()?10:4}static _init_concurrent_loads_delay(){return ng.isChrome()?0:10}static incrementInProgressLoadsCount(){this.in_progress_loads_count++}static decrementInProgressLoadsCount(){this.in_progress_loads_count--;const t=this._queue.pop();if(t){const e=this.CONCURRENT_LOADS_DELAY;setTimeout((()=>{t()}),e)}}static async waitForMaxConcurrentLoadsQueueFreed(){return this.in_progress_loads_count<=this.MAX_CONCURRENT_LOADS_COUNT?void 0:new Promise((t=>{this._queue.push(t)}))}}tv.PARAM_DEFAULT=`${qg}/textures/uv.jpg`,tv.PARAM_ENV_DEFAULT=`${qg}/textures/piz_compressed.exr`,tv.VIDEO_SOURCE_TYPE_BY_EXT={ogg:'video/ogg; codecs=\\\\\\\"theora, vorbis\\\\\\\"',ogv:'video/ogg; codecs=\\\\\\\"theora, vorbis\\\\\\\"',mp4:'video/mp4; codecs=\\\\\\\"avc1.42E01E, mp4a.40.2\\\\\\\"'},tv.MAX_CONCURRENT_LOADS_COUNT=tv._init_max_concurrent_loads_count(),tv.CONCURRENT_LOADS_DELAY=tv._init_concurrent_loads_delay(),tv.in_progress_loads_count=0,tv._queue=[];var ev=n(114);class nv extends(Mg(function(t){return class extends t{constructor(){super(...arguments),this.url=ha.STRING(tv.PARAM_DEFAULT,{fileBrowse:{type:[Rr.TEXTURE_IMAGE]}}),this.reload=ha.BUTTON(null,{callback:(t,e)=>{sv.PARAM_CALLBACK_reload(t)}}),this.play=ha.BOOLEAN(1,{cook:!1,callback:t=>{sv.PARAM_CALLBACK_gifUpdatePlay(t)}}),this.gifFrame=ha.INTEGER(0,{cook:!1,range:[0,100],rangeLocked:[!0,!1],callback:t=>{sv.PARAM_CALLBACK_gifUpdateFrameIndex(t)}})}}}(ua))){}const iv=new nv;class sv extends df{constructor(){super(...arguments),this.paramsConfig=iv,this.textureParamsController=new Sg(this),this._gifCanvasContext=null,this._tmpCanvasContext=null,this._parsedFrames=[],this._frameDelay=100,this._frameIndex=0}static type(){return\\\\\\\"gif\\\\\\\"}async requiredModules(){this.p.url.isDirty()&&await this.p.url.compute();const t=$g.extension(this.pv.url||\\\\\\\"\\\\\\\");return tv.module_names(t)}static displayedInputNames(){return[\\\\\\\"optional texture to copy attributes from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(Qi.NEVER),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{let t=[this.p.url];t=t.concat(this.textureParamsController.paramLabelsParams()),this.params.label.init(t,(()=>{const t=this.p.url.rawInput();if(t){const e=t.split(\\\\\\\"/\\\\\\\"),n=e[e.length-1],i=this.textureParamsController.paramLabels();return[n].concat(i)}return\\\\\\\"\\\\\\\"}))}))}))}async cook(t){if(\\\\\\\"gif\\\\\\\"!=Qg(this.pv.url).toLowerCase())this.states.error.set(\\\\\\\"url is not an image\\\\\\\");else{tv.incrementInProgressLoadsCount(),await tv.waitForMaxConcurrentLoadsQueueFreed();const t=await fetch(this.pv.url),e=await t.arrayBuffer(),n=await Object(ev.parseGIF)(e),i=!0;this._parsedFrames=await Object(ev.decompressFrames)(n,i);const s=this._parsedFrames[0];if(this._frameDelay=s.delay,this._frameIndex=this.pv.gifFrame-1,this._createCanvas(),tv.decrementInProgressLoadsCount(),this._gifCanvasElement){const t=new Cg(this._gifCanvasElement);await this.textureParamsController.update(t),this.setTexture(t)}else this.states.error.set(\\\\\\\"failed to create canvas\\\\\\\")}}_createCanvas(){const t=this._parsedFrames[0];this._gifCanvasElement=document.createElement(\\\\\\\"canvas\\\\\\\"),this._tmpCanvasElement=document.createElement(\\\\\\\"canvas\\\\\\\"),this._gifCanvasElement.width=t.dims.width,this._gifCanvasElement.height=t.dims.height,this._tmpCanvasElement.width=t.dims.width,this._tmpCanvasElement.height=t.dims.height,this._gifCanvasContext=this._gifCanvasElement.getContext(\\\\\\\"2d\\\\\\\"),this._tmpCanvasContext=this._tmpCanvasElement.getContext(\\\\\\\"2d\\\\\\\"),this._drawNextFrame()}_drawOnCanvas(){if(!(this._gifCanvasContext&&this._tmpCanvasElement&&this._tmpCanvasContext))return;let t=this._parsedFrames[this._frameIndex];if(t||(console.warn(`no frame at index ${this._frameIndex}, using last frame`),t=this._parsedFrames[this._parsedFrames.length-1]),t){const e=t.dims;this._frameImageData&&e.width==this._frameImageData.width&&e.height==this._frameImageData.height||(this._tmpCanvasElement.width=e.width,this._tmpCanvasElement.height=e.height,this._frameImageData=this._tmpCanvasContext.createImageData(e.width,e.height)),this._frameImageData.data.set(t.patch),this._tmpCanvasContext.putImageData(this._frameImageData,0,0),this._gifCanvasContext.drawImage(this._tmpCanvasElement,e.left,e.top);const n=this.containerController.container().texture();if(!n)return;n.needsUpdate=!0}}_drawNextFrame(){this._frameIndex++,this._frameIndex>=this._parsedFrames.length&&(this._frameIndex=0),this._drawOnCanvas(),this.pv.play&&setTimeout((()=>{this._drawNextFrame()}),this._frameDelay)}gifUpdateFrameIndex(){this._frameIndex=this.pv.gifFrame,this._drawOnCanvas()}static PARAM_CALLBACK_reload(t){t.paramCallbackReload()}paramCallbackReload(){this.p.url.setDirty()}static PARAM_CALLBACK_gifUpdatePlay(t){t.gifUpdatePlay()}gifUpdatePlay(){this.pv.play&&this._drawNextFrame()}static PARAM_CALLBACK_gifUpdateFrameIndex(t){t.gifUpdateFrameIndex()}}function rv(t){return class extends t{constructor(){super(...arguments),this.checkFileType=ha.BOOLEAN(!0)}}}class ov extends(rv(Mg(function(t){return class extends t{constructor(){super(...arguments),this.url=ha.STRING(tv.PARAM_DEFAULT,{fileBrowse:{type:[Rr.TEXTURE_IMAGE]}}),this.reload=ha.BUTTON(null,{callback:(t,e)=>{lv.PARAM_CALLBACK_reload(t,e)}})}}}(ua)))){}const av=new ov;class lv extends df{constructor(){super(...arguments),this.paramsConfig=av,this.textureParamsController=new Sg(this)}static type(){return\\\\\\\"image\\\\\\\"}async requiredModules(){this.p.url.isDirty()&&await this.p.url.compute();const t=$g.extension(this.pv.url||\\\\\\\"\\\\\\\");return tv.module_names(t)}static displayedInputNames(){return[\\\\\\\"optional texture to copy attributes from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(Qi.NEVER),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{let t=[this.p.url];t=t.concat(this.textureParamsController.paramLabelsParams()),this.params.label.init(t,(()=>{const t=this.p.url.rawInput();if(t){const e=t.split(\\\\\\\"/\\\\\\\"),n=e[e.length-1],i=this.textureParamsController.paramLabels();return[n].concat(i)}return\\\\\\\"\\\\\\\"}))}))}))}async cook(t){if(this.pv.checkFileType&&(e=this.pv.url,!Kg.includes(Qg(e).toLowerCase())))this.states.error.set(\\\\\\\"url is not an image\\\\\\\");else{const e=await this._loadTexture();if(e){const n=t[0];n&&Sg.copyTextureAttributes(e,n),await this.textureParamsController.update(e),this.setTexture(e)}else this._clearTexture()}var e}static PARAM_CALLBACK_reload(t,e){t.paramCallbackReload()}paramCallbackReload(){this.clearLoadedBlob(),this.p.url.setDirty()}_loader(){return new tv(this.pv.url,this.p.url,this,this.scene(),{forceImage:!this.pv.checkFileType})}async _loadTexture(){let t=null;try{t=await this._loader().load_texture_from_url_or_op({tdataType:this.pv.ttype&&this.pv.tadvanced,dataType:this.pv.type}),t&&(t.matrixAutoUpdate=!1)}catch(t){}return t||this.states.error.set(`could not load texture '${this.pv.url}'`),t}clearLoadedBlob(){this._loader().deregisterUrl()}}var cv=n(33);const hv=.005;class uv{constructor(t,e=1024){this.renderer=t,this.res=e,this.objectTargets=[],this.lights=[],this.scene=new vs,this.buffer1Active=!1,this._params={lightRadius:1,iterations:1,iterationBlend:hv,blur:!1,blurAmount:0},this._objectStateByObject=new WeakMap,this._previousRenderTarget=null,this._lightHierarchyStateByLight=new WeakMap,this._lightMatrixStateByLight=new WeakMap,this._t=new p.a,this._q=new hh.a,this._s=new p.a;const n=ng.isAndroid()||ng.isiOS()?w.M:w.G;this.progressiveLightMap1=new K(this.res,this.res,{type:n}),this.progressiveLightMap2=new K(this.res,this.res,{type:n}),this.uvMat=this._createUVMat()}textureRenderTarget(){return this.progressiveLightMap2}texture(){return this.textureRenderTarget().texture}setParams(t){this._params.lightRadius=t.lightRadius,this._params.iterations=t.iterations,this._params.iterationBlend=t.iterationBlend,this._params.blur=t.blur,this._params.blurAmount=t.blurAmount}init(t,e){this._setObjects(t),this._setLights(e)}_setObjects(t){this.objectTargets=[];for(let e of t)null==this.blurringPlane&&this._initializeBlurPlane(this.res,this.progressiveLightMap1),this.objectTargets.push(e);this._saveObjectsState()}_setLights(t){this.lights=t;for(let e of t)this._saveLightHierarchyState(e),this.scene.attach(e),this._saveLightMatrixState(e)}_saveLightHierarchyState(t){this._lightHierarchyStateByLight.set(t,{parent:t.parent,matrixAutoUpdate:t.matrixAutoUpdate}),t.matrixAutoUpdate=!0}_saveLightMatrixState(t){t.updateMatrix(),t.matrix.decompose(this._t,this._q,this._s),this._lightMatrixStateByLight.set(t,{matrix:t.matrix.clone(),position:this._t.clone()})}_saveObjectsState(){let t=0;for(let e of this.objectTargets)this._objectStateByObject.set(e,{frustumCulled:e.frustumCulled,material:e.material,parent:e.parent,castShadow:e.castShadow,receiveShadow:e.receiveShadow}),e.material=this.uvMat,e.frustumCulled=!1,e.castShadow=!0,e.receiveShadow=!0,e.renderOrder=1e3+t,this.scene.attach(e),t++;this._previousRenderTarget=this.renderer.getRenderTarget()}_moveLights(){const t=this._params.lightRadius;for(let e of this.lights){const n=this._lightMatrixStateByLight.get(e);if(n){const i=n.position;e.position.x=i.x+t*(Math.random()-.5),e.position.y=i.y+t*(Math.random()-.5),e.position.z=i.z+t*(Math.random()-.5)}}}restoreState(){this._restoreObjectsState(),this._restoreLightsState(),this.renderer.setRenderTarget(this._previousRenderTarget)}_restoreObjectsState(){for(let t of this.objectTargets){const e=this._objectStateByObject.get(t);if(e){t.frustumCulled=e.frustumCulled,t.castShadow=e.castShadow,t.receiveShadow=e.receiveShadow,t.material=e.material;const n=e.parent;n&&n.add(t)}}}_restoreLightsState(){var t;for(let e of this.lights){const n=this._lightHierarchyStateByLight.get(e),i=this._lightMatrixStateByLight.get(e);n&&i&&(e.matrixAutoUpdate=n.matrixAutoUpdate,e.matrix.copy(i.matrix),e.matrix.decompose(e.position,e.quaternion,e.scale),e.updateMatrix(),null===(t=n.parent)||void 0===t||t.attach(e))}}runUpdates(t){if(!this.blurMaterial)return;if(null==this.blurringPlane)return;const e=this._params.iterations;this.blurMaterial.uniforms.pixelOffset.value=this._params.blurAmount/this.res,this.blurringPlane.visible=this._params.blur,this.uvMat.uniforms.iterationBlend.value=this._params.iterationBlend,this._clear(t);for(let n=0;n{i.vertexShader=\\\\\\\"#define USE_UV\\\\n\\\\\\\"+i.vertexShader.slice(0,-2)+\\\\\\\"\\\\tgl_Position = vec4((uv - 0.5) * 2.0, 1.0, 1.0); }\\\\\\\";const s=i.fragmentShader.indexOf(\\\\\\\"void main() {\\\\\\\");i.fragmentShader=\\\\\\\"#define USE_UV\\\\n\\\\\\\"+i.fragmentShader.slice(0,s)+\\\\\\\"\\\\tuniform sampler2D previousShadowMap;\\\\n\\\\tuniform float pixelOffset;\\\\n\\\\\\\"+i.fragmentShader.slice(s-1,-2)+\\\\\\\"\\\\tgl_FragColor.rgb = (\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\ttexture2D(previousShadowMap, vUv + vec2( pixelOffset, 0.0 )).rgb +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\ttexture2D(previousShadowMap, vUv + vec2( 0.0 , pixelOffset)).rgb +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\ttexture2D(previousShadowMap, vUv + vec2( 0.0 , -pixelOffset)).rgb +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\ttexture2D(previousShadowMap, vUv + vec2(-pixelOffset, 0.0 )).rgb +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\ttexture2D(previousShadowMap, vUv + vec2( pixelOffset, pixelOffset)).rgb +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\ttexture2D(previousShadowMap, vUv + vec2(-pixelOffset, pixelOffset)).rgb +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\ttexture2D(previousShadowMap, vUv + vec2( pixelOffset, -pixelOffset)).rgb +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\ttexture2D(previousShadowMap, vUv + vec2(-pixelOffset, -pixelOffset)).rgb)/8.0;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\";const r={previousShadowMap:{value:e.texture},pixelOffset:{value:.5/t}};i.uniforms.previousShadowMap=r.previousShadowMap,i.uniforms.pixelOffset=r.pixelOffset,n.uniforms.previousShadowMap=r.previousShadowMap,n.uniforms.pixelOffset=r.pixelOffset,n.userData.shader=i},n}_createUVMat(){const t=new qf.a;return t.uniforms={previousShadowMap:{value:null},iterationBlend:{value:hv}},t.name=\\\\\\\"uvMat\\\\\\\",t.onBeforeCompile=e=>{e.vertexShader=\\\\\\\"#define USE_LIGHTMAP\\\\n\\\\\\\"+e.vertexShader.slice(0,-2)+\\\\\\\"\\\\tgl_Position = vec4((uv2 - 0.5) * 2.0, 1.0, 1.0); }\\\\\\\";const n=e.fragmentShader.indexOf(\\\\\\\"void main() {\\\\\\\");e.fragmentShader=\\\\\\\"varying vec2 vUv2;\\\\n\\\\\\\"+e.fragmentShader.slice(0,n)+\\\\\\\"\\\\tuniform sampler2D previousShadowMap;\\\\n\\\\tuniform float iterationBlend;\\\\n\\\\\\\"+e.fragmentShader.slice(n-1,-2)+\\\\\\\"\\\\nvec3 texelOld = texture2D(previousShadowMap, vUv2).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb = mix(texelOld, gl_FragColor.rgb, iterationBlend);\\\\n\\\\t\\\\t\\\\t\\\\t// gl_FragColor.rgb = vec3(vUv2,1.0);\\\\n\\\\t\\\\t\\\\t}\\\\\\\";const i={previousShadowMap:{value:this.progressiveLightMap1.texture},iterationBlend:{value:hv}};e.uniforms.previousShadowMap=i.previousShadowMap,e.uniforms.iterationBlend=i.iterationBlend,t.uniforms.previousShadowMap=i.previousShadowMap,t.uniforms.iterationBlend=i.iterationBlend,t.userData.shader=e},t}}const dv=new class extends ua{constructor(){super(...arguments),this.update=ha.BUTTON(null,{callback:t=>{pv.PARAM_CALLBACK_updateManual(t)}}),this.useCameraRenderer=ha.BOOLEAN(1),this.lightMapRes=ha.INTEGER(1024,{range:[1,2048],rangeLocked:[!0,!1]}),this.iterations=ha.INTEGER(512,{range:[1,2048],rangeLocked:[!0,!1]}),this.iterationBlend=ha.FLOAT(hv,{range:[0,1],rangeLocked:[!0,!0]}),this.blur=ha.BOOLEAN(1),this.blurAmount=ha.FLOAT(1,{visibleIf:{blur:1},range:[0,1],rangeLocked:[!0,!1]}),this.lightRadius=ha.FLOAT(1,{range:[0,10]}),this.objectsMask=ha.STRING(\\\\\\\"\\\\\\\"),this.lightsMask=ha.STRING(\\\\\\\"*\\\\\\\"),this.printResolveObjectsList=ha.BUTTON(null,{callback:t=>{pv.PARAM_CALLBACK_printResolveObjectsList(t)}})}};class pv extends df{constructor(){super(...arguments),this.paramsConfig=dv,this._includedObjects=[],this._includedLights=[]}static type(){return\\\\\\\"lightMap\\\\\\\"}async cook(){this._updateManual()}async _createLightMapController(){const t=await li.renderersController.firstRenderer();if(!t)return void console.warn(\\\\\\\"no renderer found\\\\\\\");return new uv(t,this.pv.lightMapRes)}static PARAM_CALLBACK_update_updateMode(t){}async _updateManual(){if(this.lightMapController=this.lightMapController||await this._createLightMapController(),!this.lightMapController)return;const t=this.scene().mainCameraNode();if(!t)return;this._updateObjectsAndLightsList(),this.lightMapController.init(this._includedObjects,this._includedLights);const e=t.camera();this.lightMapController.setParams({lightRadius:this.pv.lightRadius,iterations:this.pv.iterations,iterationBlend:this.pv.iterationBlend,blur:this.pv.blur,blurAmount:this.pv.blurAmount}),this.lightMapController.runUpdates(e),this.lightMapController.restoreState();const n=this.lightMapController.textureRenderTarget();if(this.pv.useCameraRenderer)this.setTexture(n.texture);else{this._data_texture_controller=this._data_texture_controller||new kf(zf.Float32Array),this._renderer_controller=this._renderer_controller||new Uf(this);const t=await this._renderer_controller.renderer(),e=this._data_texture_controller.from_render_target(t,n);this.setTexture(e)}}static PARAM_CALLBACK_updateManual(t){t._updateManual()}_updateObjectsAndLightsList(){let t=[],e=[];this._includedLights=[],this._includedObjects=[];const n=new WeakSet;if(\\\\\\\"\\\\\\\"!=this.pv.lightsMask){e=this.scene().objectsByMask(this.pv.lightsMask);for(let t of e)t instanceof cv.a&&(this._includedLights.push(t),n.add(t))}if(\\\\\\\"\\\\\\\"!=this.pv.objectsMask){t=this.scene().objectsByMask(this.pv.objectsMask);for(let e of t)e instanceof cv.a||!n.has(e)&&e instanceof B.a&&this._includedObjects.push(e)}}static PARAM_CALLBACK_printResolveObjectsList(t){t._printResolveObjectsList()}_printResolveObjectsList(){this._updateObjectsAndLightsList(),console.log(\\\\\\\"included objects:\\\\\\\"),console.log(this._includedObjects),console.log(\\\\\\\"included lights:\\\\\\\"),console.log(this._includedLights)}}const _v=new ua;class mv extends df{constructor(){super(...arguments),this.paramsConfig=_v}static type(){return\\\\\\\"null\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.NEVER)}async cook(t){const e=t[0];this.setTexture(e)}}class fv extends(Mg(function(t){return class extends t{constructor(){super(...arguments),this.camera=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.OBJ,types:ds}}),this.resolution=ha.VECTOR2([1024,1024]),this.useCameraRenderer=ha.BOOLEAN(1),this.render=ha.BUTTON(null,{callback:t=>{vv.PARAM_CALLBACK_render(t)}})}}}(ua))){}const gv=new fv;class vv extends df{constructor(){super(...arguments),this.paramsConfig=gv,this.textureParamsController=new Sg(this)}static type(){return\\\\\\\"render\\\\\\\"}async cook(){this._texture_scene=this.scene().threejsScene(),this._camera_node=this.pv.camera.nodeWithContext(ts.OBJ),this._camera_node&&ds.includes(this._camera_node.type())?(this._texture_camera=this._camera_node.object,await this._camera_node.compute(),this.renderOnTarget()):this._texture_camera=void 0}async renderOnTarget(){if(await this.createRenderTargetIfRequired(),!(this._render_target&&this._texture_scene&&this._texture_camera))return;this._renderer_controller=this._renderer_controller||new Uf(this);const t=await this._renderer_controller.renderer(),e=t.getRenderTarget();if(t.setRenderTarget(this._render_target),t.clear(),t.render(this._texture_scene,this._texture_camera),t.setRenderTarget(e),this._render_target.texture)if(this.pv.useCameraRenderer)this.setTexture(this._render_target.texture);else{this._data_texture_controller=this._data_texture_controller||new kf(zf.Float32Array);const e=this._data_texture_controller.from_render_target(t,this._render_target);await this.textureParamsController.update(e),this.setTexture(e)}else this.cookController.endCook()}async renderTarget(){return this._render_target=this._render_target||await this._createRenderTarget(this.pv.resolution.x,this.pv.resolution.y)}async createRenderTargetIfRequired(){var t;this._render_target&&this._renderTargetResolutionValid()||(this._render_target=await this._createRenderTarget(this.pv.resolution.x,this.pv.resolution.y),null===(t=this._data_texture_controller)||void 0===t||t.reset())}_renderTargetResolutionValid(){if(this._render_target){const t=this._render_target.texture.image;return t.width==this.pv.resolution.x&&t.height==this.pv.resolution.y}return!1}async _createRenderTarget(t,e){if(this._render_target){const n=this._render_target.texture.image;if(n.width==t&&n.height==e)return this._render_target}const n=w.n,i=w.n,s=w.V,r=w.ob;var o=new K(t,e,{wrapS:n,wrapT:i,minFilter:s,magFilter:r,format:w.Ib,generateMipmaps:!0,type:ng.isiOS()?w.M:w.G,stencilBuffer:!1,depthBuffer:!1});return await this.textureParamsController.update(o.texture),li.warn(\\\\\\\"created render target\\\\\\\",this.path(),t,e),o}static PARAM_CALLBACK_render(t){t.renderOnTarget()}}const yv=t=>(t.preventDefault(),!1);class xv{static disableContextMenu(){document.addEventListener(\\\\\\\"contextmenu\\\\\\\",yv)}static reEstablishContextMenu(){document.removeEventListener(\\\\\\\"contextmenu\\\\\\\",yv)}static isHTMLVideoElementLoaded(t){return 4===t.readyState}}class bv extends(function(t){return class extends t{constructor(){super(...arguments),this.capture=ha.BUTTON(null,{callback:t=>{Tv.PARAM_CALLBACK_snapshot(t)}})}}}(ua)){}const wv=new bv;class Tv extends df{constructor(){super(...arguments),this.paramsConfig=wv}static type(){return Fg.SNAPSHOT}static displayedInputNames(){return[\\\\\\\"input to take a snapshot of\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.NEVER)}async cook(t){const e=t[0];if(e&&e instanceof jg){const t=await this._canvasToTexture(e);if(t)return Sg.copyTextureAttributes(t,e),void this.setTexture(t)}else this.states.error.set(\\\\\\\"input texture is not a video\\\\\\\");this.cookController.endCook()}static PARAM_CALLBACK_snapshot(t){t.paramCallbackSnapshot()}paramCallbackSnapshot(){this.setDirty()}_videoSnapshotCanvas(t){const e=t.image;if(!xv.isHTMLVideoElementLoaded(e))return void this.states.error.set(\\\\\\\"video not loaded\\\\\\\");const n=document.createElement(\\\\\\\"canvas\\\\\\\");n.width=t.image.videoWidth,n.height=t.image.videoHeight;return n.getContext(\\\\\\\"2d\\\\\\\").drawImage(t.image,0,0,n.width,n.height),n}_canvasToTexture(t){const e=this._canvas;let n=!0;const i=this._videoSnapshotCanvas(t);if(i)return e&&i.width==e.width&&i.height==e.height&&(n=!1),this._canvas=i,new Promise((e=>{if(!this._canvas)return;const i=this._canvas.toDataURL(\\\\\\\"image/png\\\\\\\"),s=new Image;s.onload=()=>{let i;n?(i=new Z.a(s),i.encoding=t.encoding):(i=this.containerController.container().coreContent(),i.copy(t)),i.needsUpdate=!0,e(i)},s.src=i}))}}const Av=new class extends ua{constructor(){super(...arguments),this.input=ha.INTEGER(0,{range:[0,3],rangeLocked:[!0,!0]})}};class Mv extends df{constructor(){super(...arguments),this.paramsConfig=Av}static type(){return\\\\\\\"switch\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,4),this.io.inputs.initInputsClonedState(Qi.NEVER),this.cookController.disallowInputsEvaluation()}async cook(){const t=this.pv.input;if(this.io.inputs.has_input(t)){const e=await this.containerController.requestInputContainer(t);if(e)return void this.setTexture(e.texture())}else this.states.error.set(`no input ${t}`);this.cookController.endCook()}}class Ev extends(Mg(ua)){}const Sv=new Ev;class Cv extends df{constructor(){super(...arguments),this.paramsConfig=Sv,this.textureParamsController=new Sg(this)}static type(){return\\\\\\\"textureProperties\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState([Qi.FROM_NODE])}async cook(t){const e=t[0];this.textureParamsController.update(e),this.setTexture(e)}}class Nv extends(rv(Mg(function(t){return class extends t{constructor(){super(...arguments),this.url=ha.STRING(tv.PARAM_DEFAULT,{fileBrowse:{type:[Rr.TEXTURE_VIDEO]}}),this.reload=ha.BUTTON(null,{callback:(t,e)=>{Ov.PARAM_CALLBACK_reload(t,e)}}),this.play=ha.BOOLEAN(1,{cook:!1,callback:t=>{Ov.PARAM_CALLBACK_video_update_play(t)}}),this.muted=ha.BOOLEAN(1,{cook:!1,callback:t=>{Ov.PARAM_CALLBACK_video_update_muted(t)}}),this.loop=ha.BOOLEAN(1,{cook:!1,callback:t=>{Ov.PARAM_CALLBACK_video_update_loop(t)}}),this.videoTime=ha.FLOAT(0,{cook:!1}),this.setVideoTime=ha.BUTTON(null,{cook:!1,callback:t=>{Ov.PARAM_CALLBACK_video_update_time(t)}})}}}(ua)))){}const Lv=new Nv;class Ov extends df{constructor(){super(...arguments),this.paramsConfig=Lv,this.textureParamsController=new Sg(this)}static type(){return Fg.VIDEO}async requiredModules(){this.p.url.isDirty()&&await this.p.url.compute();const t=$g.extension(this.pv.url||\\\\\\\"\\\\\\\");return tv.module_names(t)}HTMLVideoElement(){return this._video}static displayedInputNames(){return[\\\\\\\"optional texture to copy attributes from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(Qi.NEVER),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.url],(()=>{const t=this.p.url.rawInput();if(t){const e=t.split(\\\\\\\"/\\\\\\\");return e[e.length-1]}return\\\\\\\"\\\\\\\"}))}))}))}async cook(t){if(this.pv.checkFileType&&(e=this.pv.url,!Jg.includes(Qg(e).toLowerCase())))this.states.error.set(\\\\\\\"url is not a video\\\\\\\");else{const e=await this._load_texture(this.pv.url);if(e){this._video=e.image,this._video&&document.body.appendChild(this._video);const n=t[0];n&&Sg.copyTextureAttributes(e,n),this.video_update_loop(),this.video_update_muted(),this.video_update_play(),this.video_update_time(),await this.textureParamsController.update(e),this.setTexture(e)}else this.cookController.endCook()}var e}dispose(){var t;super.dispose(),this._video&&(null===(t=this._video.parentElement)||void 0===t||t.removeChild(this._video))}static PARAM_CALLBACK_video_update_time(t){t.video_update_time()}static PARAM_CALLBACK_video_update_play(t){t.video_update_play()}static PARAM_CALLBACK_video_update_muted(t){t.video_update_muted()}static PARAM_CALLBACK_video_update_loop(t){t.video_update_loop()}async video_update_time(){if(this._video){const t=this.p.videoTime;t.isDirty()&&await t.compute(),this._video.currentTime=t.value}}video_update_muted(){this._video&&(this._video.muted=this.pv.muted)}video_update_loop(){this._video&&(this._video.loop=this.pv.loop)}video_update_play(){this._video&&(this.pv.play?this._video.play():this._video.pause())}static PARAM_CALLBACK_reload(t,e){t.paramCallbackReload()}paramCallbackReload(){this.p.url.setDirty()}async _load_texture(t){let e=null;const n=this.p.url;this._texture_loader=this._texture_loader||new tv(t,n,this,this.scene(),{forceVideo:!this.pv.checkFileType});try{e=await this._texture_loader.load_texture_from_url_or_op({tdataType:this.pv.ttype&&this.pv.tadvanced,dataType:this.pv.type}),e&&(e.matrixAutoUpdate=!1)}catch(t){}return e||this.states.error.set(`could not load texture '${t}'`),e}}class Pv extends(Mg(function(t){return class extends t{constructor(){super(...arguments),this.res=ha.VECTOR2([1024,1024])}}}(ua),{tencoding:!0,encoding:w.ld})){}const Rv=new Pv;class Iv extends df{constructor(){super(...arguments),this.paramsConfig=Rv,this.textureParamsController=new Sg(this)}static type(){return Fg.WEB_CAM}HTMLVideoElement(){return this._video}static displayedInputNames(){return[\\\\\\\"optional texture to copy attributes from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(Qi.NEVER)}dispose(){super.dispose(),this._cancelWebcamRequest()}_cancelWebcamRequest(){try{this._stream&&this._stream.getTracks().forEach((function(t){t.stop()}))}catch(t){console.error(t),console.warn(\\\\\\\"failed to cancel webcam request\\\\\\\")}}_createHTMLVideoElement(){this._video&&document.body.removeChild(this._video);const t=document.createElement(\\\\\\\"video\\\\\\\");return t.style.display=\\\\\\\"none\\\\\\\",t.width=this.pv.res.x,t.height=this.pv.res.y,t.autoplay=!0,t.setAttribute(\\\\\\\"autoplay\\\\\\\",\\\\\\\"true\\\\\\\"),t.setAttribute(\\\\\\\"muted\\\\\\\",\\\\\\\"true\\\\\\\"),t.setAttribute(\\\\\\\"playsinline\\\\\\\",\\\\\\\"true\\\\\\\"),document.body.appendChild(t),t}async cook(t){this._video=this._createHTMLVideoElement();const e=new jg(this._video),n=t[0];if(n&&Sg.copyTextureAttributes(e,n),await this.textureParamsController.update(e),navigator&&navigator.mediaDevices&&navigator.mediaDevices.getUserMedia){const t={video:{width:this.pv.res.x,height:this.pv.res.y,facingMode:\\\\\\\"user\\\\\\\"}};navigator.mediaDevices.getUserMedia(t).then((t=>{this._stream=t,this._video&&(this._video.srcObject=t,this._video.play(),this.setTexture(e))})).catch((t=>{this.states.error.set(\\\\\\\"Unable to access the camera/webcam\\\\\\\")}))}else this.states.error.set(\\\\\\\"MediaDevices interface not available.\\\\\\\")}}class Fv extends aa{static context(){return ts.COP}cook(){this.cookController.endCook()}}class Dv extends Fv{}class Bv extends Dv{constructor(){super(...arguments),this._children_controller_context=ts.ANIM}static type(){return es.ANIM}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class zv extends Dv{constructor(){super(...arguments),this._children_controller_context=ts.EVENT}static type(){return es.EVENT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class kv extends Dv{constructor(){super(...arguments),this._children_controller_context=ts.COP}static type(){return es.COP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class Uv extends Dv{constructor(){super(...arguments),this._children_controller_context=ts.MAT}static type(){return es.MAT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class Gv extends Fv{constructor(){super(...arguments),this.paramsConfig=new ef,this.effectsComposerController=new nf(this),this.displayNodeController=new Fm(this,this.effectsComposerController.displayNodeControllerCallbacks()),this._children_controller_context=ts.POST}static type(){return es.POST}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class Vv extends Dv{constructor(){super(...arguments),this._children_controller_context=ts.ROP}static type(){return es.ROP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}var Hv,jv;!function(t){t.START=\\\\\\\"start\\\\\\\",t.STOP=\\\\\\\"stop\\\\\\\",t.UPDATE=\\\\\\\"update\\\\\\\"}(Hv||(Hv={})),function(t){t.START=\\\\\\\"start\\\\\\\",t.COMPLETE=\\\\\\\"completed\\\\\\\"}(jv||(jv={}));const Wv=new class extends ua{constructor(){super(...arguments),this.animation=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.ANIM},dependentOnFoundNode:!1}),this.play=ha.BUTTON(null,{callback:t=>{qv.PARAM_CALLBACK_play(t)}}),this.pause=ha.BUTTON(null,{callback:t=>{qv.PARAM_CALLBACK_pause(t)}})}};class qv extends Va{constructor(){super(...arguments),this.paramsConfig=Wv}static type(){return\\\\\\\"animation\\\\\\\"}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(Hv.START,Qo.BASE,this._play.bind(this)),new ta(Hv.STOP,Qo.BASE,this._pause.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(jv.START,Qo.BASE),new ta(jv.COMPLETE,Qo.BASE)]),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.animation],(()=>this.pv.animation.path()))}))}))}processEvent(t){}static PARAM_CALLBACK_play(t){t._play({})}static PARAM_CALLBACK_pause(t){t._pause()}async _play(t){const e=this.p.animation;e.isDirty()&&await e.compute();const n=e.value.nodeWithContext(ts.ANIM);if(!n)return;const i=await n.compute();i&&(this._timelineBuilder=i.coreContent(),this._timelineBuilder&&(this._timeline&&this._timeline.kill(),this._timeline=F_.timeline(),this._timelineBuilder.populate(this._timeline),this._timeline.vars.onStart=()=>{this._triggerAnimationStarted(t)},this._timeline.vars.onComplete=()=>{this._timeline&&this._timeline.kill(),this._triggerAnimationCompleted(t)}))}_pause(){this._timeline&&this._timeline.pause()}_triggerAnimationStarted(t){this.dispatchEventToOutput(jv.START,t)}_triggerAnimationCompleted(t){this.dispatchEventToOutput(jv.COMPLETE,t)}}const Xv=\\\\\\\"event\\\\\\\";const Yv=new class extends ua{constructor(){super(...arguments),this.active=ha.BOOLEAN(1),this.inputsCount=ha.INTEGER(5,{range:[1,10],rangeLocked:[!0,!1]})}};class $v extends Va{constructor(){super(...arguments),this.paramsConfig=Yv}static type(){return\\\\\\\"any\\\\\\\"}initializeNode(){this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_input_name_function(this._input_name.bind(this)),this.io.connection_points.set_output_name_function((()=>Xv)),this.io.connection_points.set_expected_output_types_function((()=>[Qo.BASE]))}_expected_input_types(){const t=new Array(this.pv.inputsCount);return t.fill(Qo.BASE),t}_input_name(t){return`trigger${t}`}async processEvent(t){this.p.active.isDirty()&&await this.p.active.compute(),this.pv.active&&this.dispatchEventToOutput(Xv,t)}}const Jv=new class extends ua{constructor(){super(...arguments),this.blocking=ha.BOOLEAN(1)}};class Zv extends Va{constructor(){super(...arguments),this.paramsConfig=Jv}static type(){return\\\\\\\"block\\\\\\\"}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(\\\\\\\"in\\\\\\\",Qo.BASE,this._process_incoming_event.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(Zv.OUTPUT,Qo.BASE)]),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.blocking],(()=>this.pv.blocking?\\\\\\\"blocking (X)\\\\\\\":\\\\\\\"pass-through (--\\\\x3e)\\\\\\\"))}))}))}trigger_output(t){this.dispatchEventToOutput(Zv.OUTPUT,t)}_process_incoming_event(t){this.pv.blocking||this.trigger_output(t)}}var Kv;Zv.OUTPUT=\\\\\\\"output\\\\\\\",function(t){t.OUT=\\\\\\\"out\\\\\\\"}(Kv||(Kv={}));const Qv=new class extends ua{constructor(){super(...arguments),this.dispatch=ha.BUTTON(null,{callback:t=>{ty.PARAM_CALLBACK_execute(t)}})}};class ty extends Va{constructor(){super(...arguments),this.paramsConfig=Qv}static type(){return\\\\\\\"button\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new ta(Kv.OUT,Qo.BASE)])}processEvent(t){}process_event_execute(t){this.dispatchEventToOutput(Kv.OUT,t)}static PARAM_CALLBACK_execute(t){t.process_event_execute({})}}class ey extends Va{constructor(){super(...arguments),this._controls_by_viewer=new Map}async apply_controls(t,e){var n;null===(n=e.controlsController)||void 0===n||n.dispose_controls();const i=e.canvas();if(!i)return;const s=await this.createControlsInstance(t,i),r=this._controls_by_viewer.get(e);r&&r.dispose(),this._controls_by_viewer.set(e,s);const o=li.performance.performanceManager().now();return s.name=`${this.path()}:${t.name}:${o}:${this.controls_id()}`,await this.params.evalAll(),this.setupControls(s),s}controls_id(){return JSON.stringify(this.params.all.map((t=>t.valueSerialized())))}}var ny=n(27);const iy=new p.a(0,0,1),sy=new ny.a,ry=new hh.a,oy=new hh.a(-Math.sqrt(.5),0,0,Math.sqrt(.5)),ay={type:\\\\\\\"change\\\\\\\"};class ly extends J.a{constructor(t){super(),!1===window.isSecureContext&&console.error(\\\\\\\"THREE.DeviceOrientationControls: DeviceOrientationEvent is only available in secure contexts (https)\\\\\\\");const e=this,n=new hh.a;this.object=t,this.object.rotation.reorder(\\\\\\\"YXZ\\\\\\\"),this.enabled=!0,this.deviceOrientation={},this.screenOrientation=0,this.alphaOffset=0;const i=function(t){e.deviceOrientation=t},s=function(){e.screenOrientation=window.orientation||0};this.connect=function(){s(),void 0!==window.DeviceOrientationEvent&&\\\\\\\"function\\\\\\\"==typeof window.DeviceOrientationEvent.requestPermission?window.DeviceOrientationEvent.requestPermission().then((function(t){\\\\\\\"granted\\\\\\\"==t&&(window.addEventListener(\\\\\\\"orientationchange\\\\\\\",s),window.addEventListener(\\\\\\\"deviceorientation\\\\\\\",i))})).catch((function(t){console.error(\\\\\\\"THREE.DeviceOrientationControls: Unable to use DeviceOrientation API:\\\\\\\",t)})):(window.addEventListener(\\\\\\\"orientationchange\\\\\\\",s),window.addEventListener(\\\\\\\"deviceorientation\\\\\\\",i)),e.enabled=!0},this.disconnect=function(){window.removeEventListener(\\\\\\\"orientationchange\\\\\\\",s),window.removeEventListener(\\\\\\\"deviceorientation\\\\\\\",i),e.enabled=!1},this.update=function(){if(!1===e.enabled)return;const t=e.deviceOrientation;if(t){const i=t.alpha?On.e(t.alpha)+e.alphaOffset:0,s=t.beta?On.e(t.beta):0,r=t.gamma?On.e(t.gamma):0,o=e.screenOrientation?On.e(e.screenOrientation):0;!function(t,e,n,i,s){sy.set(n,e,-i,\\\\\\\"YXZ\\\\\\\"),t.setFromEuler(sy),t.multiply(oy),t.multiply(ry.setFromAxisAngle(iy,-s))}(e.object.quaternion,i,s,r,o),8*(1-n.dot(e.object.quaternion))>1e-6&&(n.copy(e.object.quaternion),e.dispatchEvent(ay))}},this.dispose=function(){e.disconnect()},this.connect()}}const cy=new class extends ua{constructor(){super(...arguments),this.enabled=ha.BOOLEAN(1)}};class hy extends ey{constructor(){super(...arguments),this.paramsConfig=cy,this._controls_by_element_id=new Map}static type(){return _s.DEVICE_ORIENTATION}endEventName(){return\\\\\\\"end\\\\\\\"}async createControlsInstance(t,e){const n=new ly(t);return this._controls_by_element_id.set(e.id,n),n}setupControls(t){t.enabled=this.pv.enabled}updateRequired(){return!0}disposeControlsForHtmlElementId(t){const e=this._controls_by_element_id.get(t);e&&(e.dispose(),this._controls_by_element_id.delete(t))}}class uy{constructor(t=1,e=0,n=0){return this.radius=t,this.phi=e,this.theta=n,this}set(t,e,n){return this.radius=t,this.phi=e,this.theta=n,this}copy(t){return this.radius=t.radius,this.phi=t.phi,this.theta=t.theta,this}makeSafe(){const t=1e-6;return this.phi=Math.max(t,Math.min(Math.PI-t,this.phi)),this}setFromVector3(t){return this.setFromCartesianCoords(t.x,t.y,t.z)}setFromCartesianCoords(t,e,n){return this.radius=Math.sqrt(t*t+e*e+n*n),0===this.radius?(this.theta=0,this.phi=0):(this.theta=Math.atan2(t,n),this.phi=Math.acos(On.d(e/this.radius,-1,1))),this}clone(){return(new this.constructor).copy(this)}}const dy={type:\\\\\\\"change\\\\\\\"},py={type:\\\\\\\"start\\\\\\\"},_y={type:\\\\\\\"end\\\\\\\"};class my extends J.a{constructor(t,e){super(),void 0===e&&console.warn('THREE.OrbitControls: The second parameter \\\\\\\"domElement\\\\\\\" is now mandatory.'),e===document&&console.error('THREE.OrbitControls: \\\\\\\"document\\\\\\\" should not be used as the target \\\\\\\"domElement\\\\\\\". Please use \\\\\\\"renderer.domElement\\\\\\\" instead.'),this.object=t,this.domElement=e,this.domElement.style.touchAction=\\\\\\\"none\\\\\\\",this.enabled=!0,this.target=new p.a,this.minDistance=0,this.maxDistance=1/0,this.minZoom=0,this.maxZoom=1/0,this.minPolarAngle=0,this.maxPolarAngle=Math.PI,this.minAzimuthAngle=-1/0,this.maxAzimuthAngle=1/0,this.enableDamping=!1,this.dampingFactor=.05,this.enableZoom=!0,this.zoomSpeed=1,this.enableRotate=!0,this.rotateSpeed=1,this.enablePan=!0,this.panSpeed=1,this.screenSpacePanning=!0,this.keyPanSpeed=7,this.autoRotate=!1,this.autoRotateSpeed=2,this.enableKeys=!0,this.keyMode=\\\\\\\"pan\\\\\\\",this.keyRotateSpeedVertical=1,this.keyRotateSpeedHorizontal=1,this.keys={LEFT:\\\\\\\"ArrowLeft\\\\\\\",UP:\\\\\\\"ArrowUp\\\\\\\",RIGHT:\\\\\\\"ArrowRight\\\\\\\",BOTTOM:\\\\\\\"ArrowDown\\\\\\\"},this.mouseButtons={LEFT:w.hb.ROTATE,MIDDLE:w.hb.DOLLY,RIGHT:w.hb.PAN},this.touches={ONE:w.Tc.ROTATE,TWO:w.Tc.DOLLY_PAN},this.target0=this.target.clone(),this.position0=this.object.position.clone(),this.zoom0=this.object.zoom,this._domElementKeyEvents=null,this.getPolarAngle=function(){return o.phi},this.getAzimuthalAngle=function(){return o.theta},this.getDistance=function(){return this.object.position.distanceTo(this.target)},this.listenToKeyEvents=function(t){t.addEventListener(\\\\\\\"keydown\\\\\\\",q),this._domElementKeyEvents=t},this.saveState=function(){n.target0.copy(n.target),n.position0.copy(n.object.position),n.zoom0=n.object.zoom},this.reset=function(){n.target.copy(n.target0),n.object.position.copy(n.position0),n.object.zoom=n.zoom0,n.object.updateProjectionMatrix(),n.dispatchEvent(dy),n.update(),s=i.NONE},this.update=function(){const e=new p.a,u=(new hh.a).setFromUnitVectors(t.up,new p.a(0,1,0)),d=u.clone().invert(),_=new p.a,m=new hh.a,f=2*Math.PI;let g=!1;return function(){const t=n.object.position;if(e.copy(t).sub(n.target),e.applyQuaternion(u),o.setFromVector3(e),n.autoRotate&&s===i.NONE&&E(2*Math.PI/60/60*n.autoRotateSpeed),n.enableDamping){const t=a.theta*n.dampingFactor,e=a.phi*n.dampingFactor;tMath.PI&&(p-=f),v<-Math.PI?v+=f:v>Math.PI&&(v-=f),o.theta=p(p+v)/2?Math.max(p,o.theta):Math.min(v,o.theta)),o.phi=Math.max(n.minPolarAngle,Math.min(n.maxPolarAngle,o.phi)),o.makeSafe(),o.radius*=l,o.radius=Math.max(n.minDistance,Math.min(n.maxDistance,o.radius)),!0===n.enableDamping?n.target.addScaledVector(c,n.dampingFactor):n.target.add(c),e.setFromSpherical(o),e.applyQuaternion(d),t.copy(n.target).add(e),n.object.lookAt(n.target),!0===n.enableDamping?(a.theta*=1-n.dampingFactor,a.phi*=1-n.dampingFactor,c.multiplyScalar(1-n.dampingFactor)):(a.set(0,0,0),c.set(0,0,0)),l=1,!!(h||_.distanceToSquared(n.object.position)>r||8*(1-m.dot(n.object.quaternion))>r)&&(n.dispatchEvent(dy),_.copy(n.object.position),m.copy(n.object.quaternion),h=!1,!0)}}(),this.dispose=function(){n.domElement.removeEventListener(\\\\\\\"contextmenu\\\\\\\",X,!1),n.domElement.removeEventListener(\\\\\\\"pointerdown\\\\\\\",G,!1),n.domElement.removeEventListener(\\\\\\\"pointercancel\\\\\\\",j),n.domElement.removeEventListener(\\\\\\\"wheel\\\\\\\",W,!1),n.domElement.ownerDocument.removeEventListener(\\\\\\\"pointermove\\\\\\\",V,!1),n.domElement.ownerDocument.removeEventListener(\\\\\\\"pointerup\\\\\\\",H,!1),null!==n._domElementKeyEvents&&n._domElementKeyEvents.removeEventListener(\\\\\\\"keydown\\\\\\\",q)};const n=this,i={NONE:-1,ROTATE:0,DOLLY:1,PAN:2,TOUCH_ROTATE:3,TOUCH_PAN:4,TOUCH_DOLLY_PAN:5,TOUCH_DOLLY_ROTATE:6};let s=i.NONE;const r=1e-6,o=new uy,a=new uy;let l=1;const c=new p.a;let h=!1;const u=new d.a,_=new d.a,m=new d.a,f=new d.a,g=new d.a,v=new d.a,y=new d.a,x=new d.a,b=new d.a,T=[],A={};function M(){return Math.pow(.95,n.zoomSpeed)}function E(t){a.theta-=t}function S(t){a.phi-=t}const C=function(){const t=new p.a;return function(e,n){t.setFromMatrixColumn(n,0),t.multiplyScalar(-e),c.add(t)}}(),N=function(){const t=new p.a;return function(e,i){!0===n.screenSpacePanning?t.setFromMatrixColumn(i,1):(t.setFromMatrixColumn(i,0),t.crossVectors(n.object.up,t)),t.multiplyScalar(e),c.add(t)}}(),L=function(){const t=new p.a;return function(e,i){const s=n.domElement;if(n.object.isPerspectiveCamera){const r=n.object.position;t.copy(r).sub(n.target);let o=t.length();o*=Math.tan(n.object.fov/2*Math.PI/180),C(2*e*o/s.clientHeight,n.object.matrix),N(2*i*o/s.clientHeight,n.object.matrix)}else n.object.isOrthographicCamera?(C(e*(n.object.right-n.object.left)/n.object.zoom/s.clientWidth,n.object.matrix),N(i*(n.object.top-n.object.bottom)/n.object.zoom/s.clientHeight,n.object.matrix)):(console.warn(\\\\\\\"WARNING: OrbitControls.js encountered an unknown camera type - pan disabled.\\\\\\\"),n.enablePan=!1)}}();function O(t){n.object.isPerspectiveCamera?l/=t:n.object.isOrthographicCamera?(n.object.zoom=Math.max(n.minZoom,Math.min(n.maxZoom,n.object.zoom*t)),n.object.updateProjectionMatrix(),h=!0):(console.warn(\\\\\\\"WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled.\\\\\\\"),n.enableZoom=!1)}function P(t){n.object.isPerspectiveCamera?l*=t:n.object.isOrthographicCamera?(n.object.zoom=Math.max(n.minZoom,Math.min(n.maxZoom,n.object.zoom/t)),n.object.updateProjectionMatrix(),h=!0):(console.warn(\\\\\\\"WARNING: OrbitControls.js encountered an unknown camera type - dolly/zoom disabled.\\\\\\\"),n.enableZoom=!1)}function R(t){u.set(t.clientX,t.clientY)}function I(t){f.set(t.clientX,t.clientY)}function F(){if(1===T.length)u.set(T[0].pageX,T[0].pageY);else{const t=.5*(T[0].pageX+T[1].pageX),e=.5*(T[0].pageY+T[1].pageY);u.set(t,e)}}function D(){if(1===T.length)f.set(T[0].pageX,T[0].pageY);else{const t=.5*(T[0].pageX+T[1].pageX),e=.5*(T[0].pageY+T[1].pageY);f.set(t,e)}}function B(){const t=T[0].pageX-T[1].pageX,e=T[0].pageY-T[1].pageY,n=Math.sqrt(t*t+e*e);y.set(0,n)}function z(t){if(1==T.length)_.set(t.pageX,t.pageY);else{const e=J(t),n=.5*(t.pageX+e.x),i=.5*(t.pageY+e.y);_.set(n,i)}m.subVectors(_,u).multiplyScalar(n.rotateSpeed);const e=n.domElement;E(2*Math.PI*m.x/e.clientHeight),S(2*Math.PI*m.y/e.clientHeight),u.copy(_)}function k(t){if(1===T.length)g.set(t.pageX,t.pageY);else{const e=J(t),n=.5*(t.pageX+e.x),i=.5*(t.pageY+e.y);g.set(n,i)}v.subVectors(g,f).multiplyScalar(n.panSpeed),L(v.x,v.y),f.copy(g)}function U(t){const e=J(t),i=t.pageX-e.x,s=t.pageY-e.y,r=Math.sqrt(i*i+s*s);x.set(0,r),b.set(0,Math.pow(x.y/y.y,n.zoomSpeed)),O(b.y),y.copy(x)}function G(t){!1!==n.enabled&&(0===T.length&&(n.domElement.setPointerCapture(t.pointerId),n.domElement.ownerDocument.addEventListener(\\\\\\\"pointermove\\\\\\\",V),n.domElement.ownerDocument.addEventListener(\\\\\\\"pointerup\\\\\\\",H)),function(t){T.push(t)}(t),\\\\\\\"touch\\\\\\\"===t.pointerType?function(t){switch($(t),T.length){case 1:switch(n.touches.ONE){case w.Tc.ROTATE:if(!1===n.enableRotate)return;F(),s=i.TOUCH_ROTATE;break;case w.Tc.PAN:if(!1===n.enablePan)return;D(),s=i.TOUCH_PAN;break;default:s=i.NONE}break;case 2:switch(n.touches.TWO){case w.Tc.DOLLY_PAN:if(!1===n.enableZoom&&!1===n.enablePan)return;n.enableZoom&&B(),n.enablePan&&D(),s=i.TOUCH_DOLLY_PAN;break;case w.Tc.DOLLY_ROTATE:if(!1===n.enableZoom&&!1===n.enableRotate)return;n.enableZoom&&B(),n.enableRotate&&F(),s=i.TOUCH_DOLLY_ROTATE;break;default:s=i.NONE}break;default:s=i.NONE}s!==i.NONE&&n.dispatchEvent(py)}(t):function(t){let e;switch(t.button){case 0:e=n.mouseButtons.LEFT;break;case 1:e=n.mouseButtons.MIDDLE;break;case 2:e=n.mouseButtons.RIGHT;break;default:e=-1}switch(e){case w.hb.DOLLY:if(!1===n.enableZoom)return;!function(t){y.set(t.clientX,t.clientY)}(t),s=i.DOLLY;break;case w.hb.ROTATE:if(t.ctrlKey||t.metaKey||t.shiftKey){if(!1===n.enablePan)return;I(t),s=i.PAN}else{if(!1===n.enableRotate)return;R(t),s=i.ROTATE}break;case w.hb.PAN:if(t.ctrlKey||t.metaKey||t.shiftKey){if(!1===n.enableRotate)return;R(t),s=i.ROTATE}else{if(!1===n.enablePan)return;I(t),s=i.PAN}break;default:s=i.NONE}s!==i.NONE&&n.dispatchEvent(py)}(t))}function V(t){!1!==n.enabled&&(\\\\\\\"touch\\\\\\\"===t.pointerType?function(t){switch($(t),s){case i.TOUCH_ROTATE:if(!1===n.enableRotate)return;z(t),n.update();break;case i.TOUCH_PAN:if(!1===n.enablePan)return;k(t),n.update();break;case i.TOUCH_DOLLY_PAN:if(!1===n.enableZoom&&!1===n.enablePan)return;!function(t){n.enableZoom&&U(t),n.enablePan&&k(t)}(t),n.update();break;case i.TOUCH_DOLLY_ROTATE:if(!1===n.enableZoom&&!1===n.enableRotate)return;!function(t){n.enableZoom&&U(t),n.enableRotate&&z(t)}(t),n.update();break;default:s=i.NONE}}(t):function(t){if(!1===n.enabled)return;switch(s){case i.ROTATE:if(!1===n.enableRotate)return;!function(t){_.set(t.clientX,t.clientY),m.subVectors(_,u).multiplyScalar(n.rotateSpeed);var e=n.domElement;E(2*Math.PI*m.x/e.clientHeight),S(2*Math.PI*m.y/e.clientHeight),u.copy(_),n.update()}(t);break;case i.DOLLY:if(!1===n.enableZoom)return;!function(t){x.set(t.clientX,t.clientY),b.subVectors(x,y),b.y>0?O(M()):b.y<0&&P(M()),y.copy(x),n.update()}(t);break;case i.PAN:if(!1===n.enablePan)return;!function(t){g.set(t.clientX,t.clientY),v.subVectors(g,f).multiplyScalar(n.panSpeed),L(v.x,v.y),f.copy(g),n.update()}(t)}}(t))}function H(t){!1!==n.enabled&&(t.pointerType,n.dispatchEvent(_y),s=i.NONE,Y(t),0===T.length&&(n.domElement.releasePointerCapture(t.pointerId),n.domElement.ownerDocument.removeEventListener(\\\\\\\"pointermove\\\\\\\",V),n.domElement.ownerDocument.removeEventListener(\\\\\\\"pointerup\\\\\\\",H)))}function j(t){Y(t)}function W(t){!1===n.enabled||!1===n.enableZoom||s!==i.NONE&&s!==i.ROTATE||(t.preventDefault(),n.dispatchEvent(py),function(t){t.deltaY<0?P(M()):t.deltaY>0&&O(M()),n.update()}(t),n.dispatchEvent(_y))}function q(t){!1!==n.enabled&&!1!==n.enablePan&&function(t){let e=!1;if(\\\\\\\"pan\\\\\\\"==n.keyMode)switch(t.code){case n.keys.UP:L(0,n.keyPanSpeed),e=!0;break;case n.keys.BOTTOM:L(0,-n.keyPanSpeed),e=!0;break;case n.keys.LEFT:L(n.keyPanSpeed,0),e=!0;break;case n.keys.RIGHT:L(-n.keyPanSpeed,0),e=!0}else switch(t.code){case n.keys.UP:S(n.keyRotateSpeedVertical),e=!0;break;case n.keys.BOTTOM:S(-n.keyRotateSpeedVertical),e=!0;break;case n.keys.LEFT:E(n.keyRotateSpeedHorizontal),e=!0;break;case n.keys.RIGHT:E(-n.keyRotateSpeedHorizontal),e=!0}e&&(t.preventDefault(),n.update())}(t)}function X(t){!1!==n.enabled&&t.preventDefault()}function Y(t){delete A[t.pointerId];for(let e=0;e{wy.PARAM_CALLBACK_update_target(t)}}),this.enableKeys=ha.BOOLEAN(0),this.keysMode=ha.INTEGER(xy.indexOf(yy.PAN),{visibleIf:{enableKeys:1},menu:{entries:xy.map(((t,e)=>({name:t,value:e})))}}),this.keysPanSpeed=ha.FLOAT(7,{range:[0,10],rangeLocked:[!1,!1],visibleIf:{enableKeys:1,keysMode:xy.indexOf(yy.PAN)}}),this.keysRotateSpeedVertical=ha.FLOAT(1,{range:[0,1],rangeLocked:[!1,!1],visibleIf:{enableKeys:1,keysMode:xy.indexOf(yy.ROTATE)}}),this.keysRotateSpeedHorizontal=ha.FLOAT(1,{range:[0,1],rangeLocked:[!1,!1],visibleIf:{enableKeys:1,keysMode:xy.indexOf(yy.ROTATE)}})}};class wy extends ey{constructor(){super(...arguments),this.paramsConfig=by,this._controls_by_element_id=new Map,this._target_array=[0,0,0]}static type(){return _s.ORBIT}endEventName(){return\\\\\\\"end\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new ta(gy,Qo.BASE),new ta(vy,Qo.BASE),new ta(\\\\\\\"end\\\\\\\",Qo.BASE)])}async createControlsInstance(t,e){const n=new my(t,e);return n.addEventListener(\\\\\\\"end\\\\\\\",(()=>{this._on_controls_end(n)})),this._controls_by_element_id.set(e.id,n),this._bind_listeners_to_controls_instance(n),n}_bind_listeners_to_controls_instance(t){t.addEventListener(\\\\\\\"start\\\\\\\",(()=>{this.dispatchEventToOutput(gy,{})})),t.addEventListener(\\\\\\\"change\\\\\\\",(()=>{this.dispatchEventToOutput(vy,{})})),t.addEventListener(\\\\\\\"end\\\\\\\",(()=>{this.dispatchEventToOutput(\\\\\\\"end\\\\\\\",{})}))}setupControls(t){t.enabled=this.pv.enabled,t.enablePan=this.pv.allowPan,t.enableRotate=this.pv.allowRotate,t.enableZoom=this.pv.allowZoom,t.enableDamping=this.pv.tdamping,t.dampingFactor=this.pv.damping,t.rotateSpeed=this.pv.rotateSpeed,t.screenSpacePanning=this.pv.screenSpacePanning,t.minDistance=this.pv.minDistance,t.maxDistance=this.pv.maxDistance,this._set_azimuth_angle(t),t.minPolarAngle=this.pv.polarAngleRange.x,t.maxPolarAngle=this.pv.polarAngleRange.y,t.target.copy(this.pv.target),t.enabled&&t.update(),t.enableKeys=this.pv.enableKeys,t.enableKeys&&(t.keyMode=xy[this.pv.keysMode],t.keyRotateSpeedVertical=this.pv.keysRotateSpeedVertical,t.keyRotateSpeedHorizontal=this.pv.keysRotateSpeedHorizontal,t.keyPanSpeed=this.pv.keysPanSpeed)}_set_azimuth_angle(t){this.pv.limitAzimuthAngle?(t.minAzimuthAngle=this.pv.azimuthAngleRange.x,t.maxAzimuthAngle=this.pv.azimuthAngleRange.y):(t.minAzimuthAngle=1/0,t.maxAzimuthAngle=1/0)}updateRequired(){return this.pv.tdamping}_on_controls_end(t){this.pv.allowPan&&(t.target.toArray(this._target_array),this.p.target.set(this._target_array))}static PARAM_CALLBACK_update_target(t){t._update_target()}_update_target(){const t=this.pv.target;this._controls_by_element_id.forEach(((e,n)=>{const i=e.target;i.equals(t)||(i.copy(t),e.update())}))}disposeControlsForHtmlElementId(t){this._controls_by_element_id.get(t)&&this._controls_by_element_id.delete(t)}}class Ty extends wy{static type(){return _s.MAP}async create_controls_instance(t,e){const n=new fy(t,e);return this._bind_listeners_to_controls_instance(n),n}}const Ay=new class extends ua{constructor(){super(...arguments),this.delay=ha.INTEGER(1e3,{range:[0,1e3],rangeLocked:[!0,!1]})}};class My extends Va{constructor(){super(...arguments),this.paramsConfig=Ay}static type(){return\\\\\\\"delay\\\\\\\"}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(\\\\\\\"in\\\\\\\",Qo.BASE,this._process_input.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(\\\\\\\"out\\\\\\\",Qo.BASE)])}_process_input(t){setTimeout((()=>{this.dispatchEventToOutput(\\\\\\\"out\\\\\\\",t)}),this.pv.delay)}}const Ey={type:\\\\\\\"change\\\\\\\"},Sy={type:\\\\\\\"lock\\\\\\\"},Cy={type:\\\\\\\"unlock\\\\\\\"},Ny=Math.PI/2,Ly=new p.a,Oy=new uy;class Py extends J.a{constructor(t,e,n){super(),this.camera=t,this.domElement=e,this.player=n,this.isLocked=!1,this.minPolarAngle=0,this.maxPolarAngle=Math.PI,this.rotateSpeed=1,this.euler=new ny.a(0,0,0,\\\\\\\"YXZ\\\\\\\"),this.boundMethods={onMouseMove:this.onMouseMove.bind(this),onPointerlockChange:this.onPointerlockChange.bind(this),onPointerlockError:this.onPointerlockError.bind(this)},this._azimuthalAngle=0,this.connect()}onMouseMove(t){if(!1!==this.isLocked){var e=t.movementX||t.mozMovementX||t.webkitMovementX||0,n=t.movementY||t.mozMovementY||t.webkitMovementY||0;this.euler.setFromQuaternion(this.camera.quaternion),this.euler.y-=.002*e*this.rotateSpeed,this.euler.x-=.002*n*this.rotateSpeed,this.euler.x=Math.max(Ny-this.maxPolarAngle,Math.min(Ny-this.minPolarAngle,this.euler.x)),this.camera.quaternion.setFromEuler(this.euler),this._computeAzimuthalAngle(),this.dispatchEvent(Ey)}}_computeAzimuthalAngle(){this.camera.updateMatrixWorld(),Ly.set(0,0,1),this.camera.localToWorld(Ly),Ly.sub(this.camera.position),Oy.setFromVector3(Ly),this._azimuthalAngle=Oy.theta}onPointerlockChange(){this.domElement.ownerDocument.pointerLockElement===this.domElement?(this.dispatchEvent(Sy),this.isLocked=!0):(this.dispatchEvent(Cy),this.isLocked=!1)}onPointerlockError(){console.error(\\\\\\\"THREE.PointerLockControls: Unable to use Pointer Lock API (Note that you need to wait for 2 seconds to lock the pointer after having just unlocked it)\\\\\\\")}connect(){this.domElement.ownerDocument.addEventListener(\\\\\\\"mousemove\\\\\\\",this.boundMethods.onMouseMove),this.domElement.ownerDocument.addEventListener(\\\\\\\"pointerlockchange\\\\\\\",this.boundMethods.onPointerlockChange),this.domElement.ownerDocument.addEventListener(\\\\\\\"pointerlockerror\\\\\\\",this.boundMethods.onPointerlockError)}disconnect(){this.domElement.ownerDocument.removeEventListener(\\\\\\\"mousemove\\\\\\\",this.boundMethods.onMouseMove),this.domElement.ownerDocument.removeEventListener(\\\\\\\"pointerlockchange\\\\\\\",this.boundMethods.onPointerlockChange),this.domElement.ownerDocument.removeEventListener(\\\\\\\"pointerlockerror\\\\\\\",this.boundMethods.onPointerlockError)}dispose(){this.disconnect()}getObject(){return this.camera}lock(){this.domElement.requestPointerLock()}unlock(){this.domElement.ownerDocument.exitPointerLock()}update(t){this.player&&(this.player.setAzimuthalAngle(this._azimuthalAngle),this.player.update(t))}}var Ry=n(16);const Iy=new p.a,Fy=new p.a;class Dy{constructor(t=new p.a,e=new p.a){this.start=t,this.end=e}set(t,e){return this.start.copy(t),this.end.copy(e),this}copy(t){return this.start.copy(t.start),this.end.copy(t.end),this}getCenter(t){return t.addVectors(this.start,this.end).multiplyScalar(.5)}delta(t){return t.subVectors(this.end,this.start)}distanceSq(){return this.start.distanceToSquared(this.end)}distance(){return this.start.distanceTo(this.end)}at(t,e){return this.delta(e).multiplyScalar(t).add(this.start)}closestPointToPointParameter(t,e){Iy.subVectors(t,this.start),Fy.subVectors(this.end,this.start);const n=Fy.dot(Fy);let i=Fy.dot(Iy)/n;return e&&(i=On.d(i,0,1)),i}closestPointToPoint(t,e,n){const i=this.closestPointToPointParameter(t,e);return this.delta(n).multiplyScalar(i).add(this.start)}applyMatrix4(t){return this.start.applyMatrix4(t),this.end.applyMatrix4(t),this}equals(t){return t.start.equals(this.start)&&t.end.equals(this.end)}clone(){return(new this.constructor).copy(this)}}const By=new p.a;function zy(t,e,n,i,s,r){const o=2*Math.PI*s/4,a=Math.max(r-2*s,0),l=Math.PI/4;By.copy(e),By[i]=0,By.normalize();const c=.5*o/(o+a),h=1-By.angleTo(t)/l;if(1===Math.sign(By[n]))return h*c;return a/(o+a)+c+c*(1-h)}class ky extends N{constructor(t=1,e=1,n=1,i=2,s=.1){if(i=2*i+1,s=Math.min(t/2,e/2,n/2,s),super(1,1,1,i,i,i),1===i)return;const r=this.toNonIndexed();this.index=null,this.attributes.position=r.attributes.position,this.attributes.normal=r.attributes.normal,this.attributes.uv=r.attributes.uv;const o=new p.a,a=new p.a,l=new p.a(t,e,n).divideScalar(2).subScalar(s),c=this.attributes.position.array,h=this.attributes.normal.array,u=this.attributes.uv.array,d=c.length/6,_=new p.a,m=.5/i;for(let i=0,r=0;ithis.object.position.y<-25,this.object=t.object,this.object.matrixAutoUpdate=!0,this.collider=t.collider,t.meshName&&(this._mesh=new B.a,this._mesh.geometry=Uy({radius:this.capsuleInfo.radius,height:1}),this._mesh.name=t.meshName,this._mesh.receiveShadow=!0,this._mesh.castShadow=!0)}setCollider(t){this.collider=t}setCapsule(t){this.capsuleInfo.radius=t.radius,this.capsuleInfo.segment.end.y=-t.height,this._mesh&&(this._mesh.geometry=Uy(t))}setUsePlayerMesh(t){t?(this._mesh=this._mesh||this._createMesh(),this.object.add(this._mesh)):this._mesh&&this.object.remove(this._mesh)}_createMesh(){const t=new B.a;return t.geometry=Uy({radius:this.capsuleInfo.radius,height:1}),t.name=this._meshName||\\\\\\\"defaultPlayerMeshName\\\\\\\",t.receiveShadow=!0,t.castShadow=!0,t}setMaterial(t){this._mesh&&(this._mesh.material=t)}reset(){this.stop(),this.object.position.copy(this.startPosition),Yy.copy(this.startRotation).multiplyScalar(On.a),this.object.rotation.setFromVector3(Yy)}stop(){this._pressed.forward=!1,this._pressed.backward=!1,this._pressed.left=!1,this._pressed.right=!1,this._running=!1}setResetRequiredCallback(t){this._resetRequiredCallback=t}setAzimuthalAngle(t){this._azimuthalAngle=t}update(t){const e=Math.min(t,.1);for(let t=0;tt.intersectsBox(Wy),intersectsTriangle:t=>{const e=Hy,n=jy,s=t.closestPointToSegment(Xy,e,n);if(sMath.abs(t*this._velocity.y*.25);const o=Math.max(0,r.length()-1e-5);r.normalize().multiplyScalar(o),this.object.position.add(r),this._onGround?this._velocity.set(0,0,0):(r.normalize(),this._velocity.addScaledVector(r,-r.dot(this._velocity))),this._resetRequiredCallback()&&this.reset()}setForward(t){this._pressed.forward=t}setBackward(t){this._pressed.backward=t}setLeft(t){this._pressed.left=t}setRight(t){this._pressed.right=t}jump(){this._onGround&&this.jumpAllowed&&(this._velocity.y=this.jumpStrength)}setRun(t){t?this._onGround&&this.runAllowed&&(this._running=!0):this._running=!1}running(){return this._running}}function Jy(t){t.preventDefault()}class Zy{constructor(t){this.player=t,this._bounds={keydown:this._onKeyDown.bind(this),keyup:this._onKeyUp.bind(this)}}_onKeyDown(t){if(!t.ctrlKey)switch(t.code){case\\\\\\\"ArrowUp\\\\\\\":case\\\\\\\"KeyW\\\\\\\":this.player.setForward(!0),Jy(t);break;case\\\\\\\"ArrowDown\\\\\\\":case\\\\\\\"KeyS\\\\\\\":this.player.setBackward(!0),Jy(t);break;case\\\\\\\"ArrowRight\\\\\\\":case\\\\\\\"KeyD\\\\\\\":this.player.setRight(!0),Jy(t);break;case\\\\\\\"ArrowLeft\\\\\\\":case\\\\\\\"KeyA\\\\\\\":this.player.setLeft(!0),Jy(t);break;case\\\\\\\"Space\\\\\\\":this.player.jump(),Jy(t);break;case\\\\\\\"ShiftLeft\\\\\\\":case\\\\\\\"ShiftRight\\\\\\\":this.player.setRun(!0),Jy(t)}}_onKeyUp(t){switch(t.code){case\\\\\\\"ArrowUp\\\\\\\":case\\\\\\\"KeyW\\\\\\\":this.player.setForward(!1);break;case\\\\\\\"ArrowDown\\\\\\\":case\\\\\\\"KeyS\\\\\\\":this.player.setBackward(!1);break;case\\\\\\\"ArrowRight\\\\\\\":case\\\\\\\"KeyD\\\\\\\":this.player.setRight(!1);break;case\\\\\\\"ArrowLeft\\\\\\\":case\\\\\\\"KeyA\\\\\\\":this.player.setLeft(!1);break;case\\\\\\\"ShiftLeft\\\\\\\":case\\\\\\\"ShiftRight\\\\\\\":this.player.setRun(!1),Jy(t)}}addEvents(){document.addEventListener(\\\\\\\"keydown\\\\\\\",this._bounds.keydown),document.addEventListener(\\\\\\\"keyup\\\\\\\",this._bounds.keyup)}removeEvents(){document.removeEventListener(\\\\\\\"keydown\\\\\\\",this._bounds.keydown),document.removeEventListener(\\\\\\\"keyup\\\\\\\",this._bounds.keyup)}}Ky=ua;var Ky;class Qy extends Va{static PARAM_CALLBACK_updateCollider(t){}}class tx{constructor(t){this.node=t}_colliderNodeGraphNode(){return this.__colliderNodeGraphNode=this.__colliderNodeGraphNode||new Mi(this.node.scene(),\\\\\\\"colliderGraphNode\\\\\\\")}async getCollider(){var t;const e=this.node.pv.colliderObject.nodeWithContext(ts.SOP);if(!e)return void this.node.states.error.set(\\\\\\\"collider node not found\\\\\\\");(null===(t=this._colliderNode)||void 0===t?void 0:t.graphNodeId())!=e.graphNodeId()&&(this._colliderNode&&this._colliderNodeGraphNode().removeGraphInput(this._colliderNode),this._colliderNodeGraphNode().addGraphInput(e),this._colliderNodeGraphNode().addPostDirtyHook(\\\\\\\"onColliderDirty\\\\\\\",(()=>{this.updateCollider()})),this._colliderNode=e);const n=(await e.compute()).coreContent();if(!n)return void this.node.states.error.set(\\\\\\\"invalid collider node\\\\\\\");return n.objects()[0]}async updateCollider(){var t;const e=await this.getCollider();e?null===(t=this.node.player())||void 0===t||t.setCollider(e):this.node.states.error.set(\\\\\\\"invalid collider\\\\\\\")}}const ex=\\\\\\\"lock\\\\\\\",nx=\\\\\\\"change\\\\\\\",ix=\\\\\\\"unlock\\\\\\\";function sx(){return{cook:!1,callback:t=>{ox.PARAM_CALLBACK_updatePlayerParams(t)}}}const rx=new class extends ua{constructor(){super(...arguments),this.main=ha.FOLDER(),this.colliderObject=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.SOP},dependentOnFoundNode:!1,callback:t=>{ox.PARAM_CALLBACK_updateCollider(t)}}),this.lock=ha.BUTTON(null,{callback:t=>{ox.PARAM_CALLBACK_lockControls(t)}}),this.unlock=ha.BUTTON(null,{callback:t=>{ox.PARAM_CALLBACK_unlockControls(t)}}),this.capsuleRadius=ha.FLOAT(.5,{range:[0,1],rangeLocked:[!0,!1],...sx()}),this.capsuleHeight=ha.FLOAT(1,{range:[0,2],rangeLocked:[!0,!1],...sx()}),this.physics=ha.FOLDER(),this.physicsSteps=ha.INTEGER(5,{range:[1,10],rangeLocked:[!0,!1],...sx()}),this.gravity=ha.VECTOR3([0,-30,0],{...sx()}),this.translateSpeed=ha.FLOAT(1,{range:[0,10],rangeLocked:[!0,!1],...sx()}),this.rotateSpeed=ha.FLOAT(1,{range:[0,10],rangeLocked:[!0,!1]}),this.jumpAllowed=ha.BOOLEAN(!0,{...sx()}),this.jumpStrength=ha.FLOAT(10,{range:[0,100],rangeLocked:[!0,!1],...sx()}),this.runAllowed=ha.BOOLEAN(!0,{...sx()}),this.runSpeedMult=ha.FLOAT(2,{range:[0,10],rangeLocked:[!0,!1],...sx()}),this.updateCollider=ha.BUTTON(null,{callback:t=>{ox.PARAM_CALLBACK_updateCollider(t)}}),this.init=ha.FOLDER(),this.startPosition=ha.VECTOR3([0,2,0],{...sx()}),this.startRotation=ha.VECTOR3([0,0,0],{...sx()}),this.reset=ha.BUTTON(null,{callback:t=>{ox.PARAM_CALLBACK_resetPlayer(t)}}),this.minPolarAngle=ha.FLOAT(0,{range:[0,Math.PI],rangeLocked:[!0,!0]}),this.maxPolarAngle=ha.FLOAT(\\\\\\\"$PI\\\\\\\",{range:[0,Math.PI],rangeLocked:[!0,!0]})}};class ox extends ey{constructor(){super(...arguments),this.paramsConfig=rx,this._controls_by_element_id=new Map}static type(){return _s.FIRST_PERSON}endEventName(){return\\\\\\\"unlock\\\\\\\"}collisionController(){return this._collisionController=this._collisionController||new tx(this)}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(ex,Qo.BASE,this.lockControls.bind(this)),new ta(ox.INPUT_UPDATE_COLLIDER,Qo.BASE,this._updateCollider.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(ex,Qo.BASE),new ta(nx,Qo.BASE),new ta(ix,Qo.BASE)])}async createControlsInstance(t,e){await this._initPlayer(t);const n=new Py(t,e,this._player);return this._controls_by_element_id.set(e.id,n),this._bind_listeners_to_controls_instance(n),n}async _initPlayer(t){this._player=this._player||await this._createPlayer(t),this._player&&(this._updatePlayerParams(),this._player.reset())}player(){return this._player}async _updatePlayerParams(){this._player&&(this._player.startPosition.copy(this.pv.startPosition),this._player.startRotation.copy(this.pv.startRotation),this._player.physicsSteps=this.pv.physicsSteps,this._player.jumpAllowed=this.pv.jumpAllowed,this._player.jumpStrength=this.pv.jumpStrength,this._player.runAllowed=this.pv.runAllowed,this._player.runSpeedMult=this.pv.runSpeedMult,this._player.gravity.copy(this.pv.gravity),this._player.speed=this.pv.translateSpeed,this._player.setCapsule({radius:this.pv.capsuleRadius,height:this.pv.capsuleHeight}))}async _createPlayer(t){const e=t,n=await this.collisionController().getCollider();if(!n)return void this.states.error.set(\\\\\\\"invalid collider\\\\\\\");return new $y({object:e,collider:n})}_resetPlayer(){var t;null===(t=this._player)||void 0===t||t.reset()}async _updateCollider(){await this.collisionController().updateCollider()}_bind_listeners_to_controls_instance(t){t.addEventListener(ex,(()=>{this.dispatchEventToOutput(ex,{})})),t.addEventListener(nx,(()=>{this.dispatchEventToOutput(nx,{})})),t.addEventListener(ix,(()=>{this.dispatchEventToOutput(ix,{})}))}updateRequired(){return!0}setupControls(t){t.minPolarAngle=this.pv.minPolarAngle,t.maxPolarAngle=this.pv.maxPolarAngle,t.rotateSpeed=this.pv.rotateSpeed}disposeControlsForHtmlElementId(t){const e=this._controls_by_element_id.get(t);e&&(e.dispose(),this._controls_by_element_id.delete(t))}unlockControls(){const t=this._firstControls();t&&t.unlock()}lockControls(){const t=this._firstControls();if(t){if(this._player){this._corePlayerKeyEvents=this._corePlayerKeyEvents||new Zy(this._player),this._corePlayerKeyEvents.addEvents();const e=()=>{var n,i;t&&t.domElement.ownerDocument.pointerLockElement!=t.domElement&&(t.domElement.ownerDocument.removeEventListener(\\\\\\\"pointerlockchange\\\\\\\",e),null===(n=this._corePlayerKeyEvents)||void 0===n||n.removeEvents(),null===(i=this._player)||void 0===i||i.stop())};t.domElement.ownerDocument.addEventListener(\\\\\\\"pointerlockchange\\\\\\\",e)}t.lock()}}_firstControls(){let t;return this._controls_by_element_id.forEach(((e,n)=>{t=t||e})),t}static PARAM_CALLBACK_lockControls(t){t.lockControls()}static PARAM_CALLBACK_unlockControls(t){t.unlockControls()}static PARAM_CALLBACK_updateCollider(t){t._updateCollider()}static PARAM_CALLBACK_updatePlayerParams(t){t._updatePlayerParams()}static PARAM_CALLBACK_resetPlayer(t){t._resetPlayer()}}var ax,lx;ox.INPUT_UPDATE_COLLIDER=\\\\\\\"updateCollider\\\\\\\",function(t){t.TRIGGER=\\\\\\\"trigger\\\\\\\",t.RESET=\\\\\\\"reset\\\\\\\"}(ax||(ax={})),function(t){t.OUT=\\\\\\\"out\\\\\\\",t.LAST=\\\\\\\"last\\\\\\\"}(lx||(lx={}));const cx=new class extends ua{constructor(){super(...arguments),this.maxCount=ha.INTEGER(5,{range:[0,10],rangeLocked:[!0,!1]}),this.reset=ha.BUTTON(null,{callback:t=>{hx.PARAM_CALLBACK_reset(t)}})}};class hx extends Va{constructor(){super(...arguments),this.paramsConfig=cx,this._process_count=0,this._last_dispatched=!1}static type(){return\\\\\\\"limit\\\\\\\"}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(ax.TRIGGER,Qo.BASE,this.processEventTrigger.bind(this)),new ta(ax.RESET,Qo.BASE,this.process_event_reset.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(lx.OUT,Qo.BASE),new ta(lx.LAST,Qo.BASE)])}processEvent(t){}processEventTrigger(t){this._process_count>8&255]+sb[t>>16&255]+sb[t>>24&255]+\\\\\\\"-\\\\\\\"+sb[255&e]+sb[e>>8&255]+\\\\\\\"-\\\\\\\"+sb[e>>16&15|64]+sb[e>>24&255]+\\\\\\\"-\\\\\\\"+sb[63&n|128]+sb[n>>8&255]+\\\\\\\"-\\\\\\\"+sb[n>>16&255]+sb[n>>24&255]+sb[255&i]+sb[i>>8&255]+sb[i>>16&255]+sb[i>>24&255]).toUpperCase()}function ab(t,e,n){return Math.max(e,Math.min(n,t))}function lb(t,e){return(t%e+e)%e}function cb(t,e,n){return(1-n)*t+n*e}function hb(t){return 0==(t&t-1)&&0!==t}function ub(t){return Math.pow(2,Math.ceil(Math.log(t)/Math.LN2))}function db(t){return Math.pow(2,Math.floor(Math.log(t)/Math.LN2))}var pb=Object.freeze({__proto__:null,DEG2RAD:nb,RAD2DEG:ib,generateUUID:ob,clamp:ab,euclideanModulo:lb,mapLinear:function(t,e,n,i,s){return i+(t-e)*(s-i)/(n-e)},inverseLerp:function(t,e,n){return t!==e?(n-t)/(e-t):0},lerp:cb,damp:function(t,e,n,i){return cb(t,e,1-Math.exp(-n*i))},pingpong:function(t,e=1){return e-Math.abs(lb(t,2*e)-e)},smoothstep:function(t,e,n){return t<=e?0:t>=n?1:(t=(t-e)/(n-e))*t*(3-2*t)},smootherstep:function(t,e,n){return t<=e?0:t>=n?1:(t=(t-e)/(n-e))*t*t*(t*(6*t-15)+10)},randInt:function(t,e){return t+Math.floor(Math.random()*(e-t+1))},randFloat:function(t,e){return t+Math.random()*(e-t)},randFloatSpread:function(t){return t*(.5-Math.random())},seededRandom:function(t){return void 0!==t&&(eb=t%2147483647),eb=16807*eb%2147483647,(eb-1)/2147483646},degToRad:function(t){return t*nb},radToDeg:function(t){return t*ib},isPowerOfTwo:hb,ceilPowerOfTwo:ub,floorPowerOfTwo:db,setQuaternionFromProperEuler:function(t,e,n,i,s){const r=Math.cos,o=Math.sin,a=r(n/2),l=o(n/2),c=r((e+i)/2),h=o((e+i)/2),u=r((e-i)/2),d=o((e-i)/2),p=r((i-e)/2),_=o((i-e)/2);switch(s){case\\\\\\\"XYX\\\\\\\":t.set(a*h,l*u,l*d,a*c);break;case\\\\\\\"YZY\\\\\\\":t.set(l*d,a*h,l*u,a*c);break;case\\\\\\\"ZXZ\\\\\\\":t.set(l*u,l*d,a*h,a*c);break;case\\\\\\\"XZX\\\\\\\":t.set(a*h,l*_,l*p,a*c);break;case\\\\\\\"YXY\\\\\\\":t.set(l*p,a*h,l*_,a*c);break;case\\\\\\\"ZYZ\\\\\\\":t.set(l*_,l*p,a*h,a*c);break;default:console.warn(\\\\\\\"THREE.MathUtils: .setQuaternionFromProperEuler() encountered an unknown order: \\\\\\\"+s)}}});class _b{constructor(t=0,e=0){this.x=t,this.y=e}get width(){return this.x}set width(t){this.x=t}get height(){return this.y}set height(t){this.y=t}set(t,e){return this.x=t,this.y=e,this}setScalar(t){return this.x=t,this.y=t,this}setX(t){return this.x=t,this}setY(t){return this.y=t,this}setComponent(t,e){switch(t){case 0:this.x=e;break;case 1:this.y=e;break;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}return this}getComponent(t){switch(t){case 0:return this.x;case 1:return this.y;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}}clone(){return new this.constructor(this.x,this.y)}copy(t){return this.x=t.x,this.y=t.y,this}add(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector2: .add() now only accepts one argument. Use .addVectors( a, b ) instead.\\\\\\\"),this.addVectors(t,e)):(this.x+=t.x,this.y+=t.y,this)}addScalar(t){return this.x+=t,this.y+=t,this}addVectors(t,e){return this.x=t.x+e.x,this.y=t.y+e.y,this}addScaledVector(t,e){return this.x+=t.x*e,this.y+=t.y*e,this}sub(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector2: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.\\\\\\\"),this.subVectors(t,e)):(this.x-=t.x,this.y-=t.y,this)}subScalar(t){return this.x-=t,this.y-=t,this}subVectors(t,e){return this.x=t.x-e.x,this.y=t.y-e.y,this}multiply(t){return this.x*=t.x,this.y*=t.y,this}multiplyScalar(t){return this.x*=t,this.y*=t,this}divide(t){return this.x/=t.x,this.y/=t.y,this}divideScalar(t){return this.multiplyScalar(1/t)}applyMatrix3(t){const e=this.x,n=this.y,i=t.elements;return this.x=i[0]*e+i[3]*n+i[6],this.y=i[1]*e+i[4]*n+i[7],this}min(t){return this.x=Math.min(this.x,t.x),this.y=Math.min(this.y,t.y),this}max(t){return this.x=Math.max(this.x,t.x),this.y=Math.max(this.y,t.y),this}clamp(t,e){return this.x=Math.max(t.x,Math.min(e.x,this.x)),this.y=Math.max(t.y,Math.min(e.y,this.y)),this}clampScalar(t,e){return this.x=Math.max(t,Math.min(e,this.x)),this.y=Math.max(t,Math.min(e,this.y)),this}clampLength(t,e){const n=this.length();return this.divideScalar(n||1).multiplyScalar(Math.max(t,Math.min(e,n)))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this}roundToZero(){return this.x=this.x<0?Math.ceil(this.x):Math.floor(this.x),this.y=this.y<0?Math.ceil(this.y):Math.floor(this.y),this}negate(){return this.x=-this.x,this.y=-this.y,this}dot(t){return this.x*t.x+this.y*t.y}cross(t){return this.x*t.y-this.y*t.x}lengthSq(){return this.x*this.x+this.y*this.y}length(){return Math.sqrt(this.x*this.x+this.y*this.y)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)}normalize(){return this.divideScalar(this.length()||1)}angle(){return Math.atan2(-this.y,-this.x)+Math.PI}distanceTo(t){return Math.sqrt(this.distanceToSquared(t))}distanceToSquared(t){const e=this.x-t.x,n=this.y-t.y;return e*e+n*n}manhattanDistanceTo(t){return Math.abs(this.x-t.x)+Math.abs(this.y-t.y)}setLength(t){return this.normalize().multiplyScalar(t)}lerp(t,e){return this.x+=(t.x-this.x)*e,this.y+=(t.y-this.y)*e,this}lerpVectors(t,e,n){return this.x=t.x+(e.x-t.x)*n,this.y=t.y+(e.y-t.y)*n,this}equals(t){return t.x===this.x&&t.y===this.y}fromArray(t,e=0){return this.x=t[e],this.y=t[e+1],this}toArray(t=[],e=0){return t[e]=this.x,t[e+1]=this.y,t}fromBufferAttribute(t,e,n){return void 0!==n&&console.warn(\\\\\\\"THREE.Vector2: offset has been removed from .fromBufferAttribute().\\\\\\\"),this.x=t.getX(e),this.y=t.getY(e),this}rotateAround(t,e){const n=Math.cos(e),i=Math.sin(e),s=this.x-t.x,r=this.y-t.y;return this.x=s*n-r*i+t.x,this.y=s*i+r*n+t.y,this}random(){return this.x=Math.random(),this.y=Math.random(),this}*[Symbol.iterator](){yield this.x,yield this.y}}_b.prototype.isVector2=!0;class mb{constructor(){this.elements=[1,0,0,0,1,0,0,0,1],arguments.length>0&&console.error(\\\\\\\"THREE.Matrix3: the constructor no longer reads arguments. use .set() instead.\\\\\\\")}set(t,e,n,i,s,r,o,a,l){const c=this.elements;return c[0]=t,c[1]=i,c[2]=o,c[3]=e,c[4]=s,c[5]=a,c[6]=n,c[7]=r,c[8]=l,this}identity(){return this.set(1,0,0,0,1,0,0,0,1),this}copy(t){const e=this.elements,n=t.elements;return e[0]=n[0],e[1]=n[1],e[2]=n[2],e[3]=n[3],e[4]=n[4],e[5]=n[5],e[6]=n[6],e[7]=n[7],e[8]=n[8],this}extractBasis(t,e,n){return t.setFromMatrix3Column(this,0),e.setFromMatrix3Column(this,1),n.setFromMatrix3Column(this,2),this}setFromMatrix4(t){const e=t.elements;return this.set(e[0],e[4],e[8],e[1],e[5],e[9],e[2],e[6],e[10]),this}multiply(t){return this.multiplyMatrices(this,t)}premultiply(t){return this.multiplyMatrices(t,this)}multiplyMatrices(t,e){const n=t.elements,i=e.elements,s=this.elements,r=n[0],o=n[3],a=n[6],l=n[1],c=n[4],h=n[7],u=n[2],d=n[5],p=n[8],_=i[0],m=i[3],f=i[6],g=i[1],v=i[4],y=i[7],x=i[2],b=i[5],w=i[8];return s[0]=r*_+o*g+a*x,s[3]=r*m+o*v+a*b,s[6]=r*f+o*y+a*w,s[1]=l*_+c*g+h*x,s[4]=l*m+c*v+h*b,s[7]=l*f+c*y+h*w,s[2]=u*_+d*g+p*x,s[5]=u*m+d*v+p*b,s[8]=u*f+d*y+p*w,this}multiplyScalar(t){const e=this.elements;return e[0]*=t,e[3]*=t,e[6]*=t,e[1]*=t,e[4]*=t,e[7]*=t,e[2]*=t,e[5]*=t,e[8]*=t,this}determinant(){const t=this.elements,e=t[0],n=t[1],i=t[2],s=t[3],r=t[4],o=t[5],a=t[6],l=t[7],c=t[8];return e*r*c-e*o*l-n*s*c+n*o*a+i*s*l-i*r*a}invert(){const t=this.elements,e=t[0],n=t[1],i=t[2],s=t[3],r=t[4],o=t[5],a=t[6],l=t[7],c=t[8],h=c*r-o*l,u=o*a-c*s,d=l*s-r*a,p=e*h+n*u+i*d;if(0===p)return this.set(0,0,0,0,0,0,0,0,0);const _=1/p;return t[0]=h*_,t[1]=(i*l-c*n)*_,t[2]=(o*n-i*r)*_,t[3]=u*_,t[4]=(c*e-i*a)*_,t[5]=(i*s-o*e)*_,t[6]=d*_,t[7]=(n*a-l*e)*_,t[8]=(r*e-n*s)*_,this}transpose(){let t;const e=this.elements;return t=e[1],e[1]=e[3],e[3]=t,t=e[2],e[2]=e[6],e[6]=t,t=e[5],e[5]=e[7],e[7]=t,this}getNormalMatrix(t){return this.setFromMatrix4(t).invert().transpose()}transposeIntoArray(t){const e=this.elements;return t[0]=e[0],t[1]=e[3],t[2]=e[6],t[3]=e[1],t[4]=e[4],t[5]=e[7],t[6]=e[2],t[7]=e[5],t[8]=e[8],this}setUvTransform(t,e,n,i,s,r,o){const a=Math.cos(s),l=Math.sin(s);return this.set(n*a,n*l,-n*(a*r+l*o)+r+t,-i*l,i*a,-i*(-l*r+a*o)+o+e,0,0,1),this}scale(t,e){const n=this.elements;return n[0]*=t,n[3]*=t,n[6]*=t,n[1]*=e,n[4]*=e,n[7]*=e,this}rotate(t){const e=Math.cos(t),n=Math.sin(t),i=this.elements,s=i[0],r=i[3],o=i[6],a=i[1],l=i[4],c=i[7];return i[0]=e*s+n*a,i[3]=e*r+n*l,i[6]=e*o+n*c,i[1]=-n*s+e*a,i[4]=-n*r+e*l,i[7]=-n*o+e*c,this}translate(t,e){const n=this.elements;return n[0]+=t*n[2],n[3]+=t*n[5],n[6]+=t*n[8],n[1]+=e*n[2],n[4]+=e*n[5],n[7]+=e*n[8],this}equals(t){const e=this.elements,n=t.elements;for(let t=0;t<9;t++)if(e[t]!==n[t])return!1;return!0}fromArray(t,e=0){for(let n=0;n<9;n++)this.elements[n]=t[n+e];return this}toArray(t=[],e=0){const n=this.elements;return t[e]=n[0],t[e+1]=n[1],t[e+2]=n[2],t[e+3]=n[3],t[e+4]=n[4],t[e+5]=n[5],t[e+6]=n[6],t[e+7]=n[7],t[e+8]=n[8],t}clone(){return(new this.constructor).fromArray(this.elements)}}function fb(t){if(0===t.length)return-1/0;let e=t[0];for(let n=1,i=t.length;ne&&(e=t[n]);return e}mb.prototype.isMatrix3=!0;Int8Array,Uint8Array,Uint8ClampedArray,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array;function gb(t){return document.createElementNS(\\\\\\\"http://www.w3.org/1999/xhtml\\\\\\\",t)}let vb;class yb{static getDataURL(t){if(/^data:/i.test(t.src))return t.src;if(\\\\\\\"undefined\\\\\\\"==typeof HTMLCanvasElement)return t.src;let e;if(t instanceof HTMLCanvasElement)e=t;else{void 0===vb&&(vb=gb(\\\\\\\"canvas\\\\\\\")),vb.width=t.width,vb.height=t.height;const n=vb.getContext(\\\\\\\"2d\\\\\\\");t instanceof ImageData?n.putImageData(t,0,0):n.drawImage(t,0,0,t.width,t.height),e=vb}return e.width>2048||e.height>2048?(console.warn(\\\\\\\"THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons\\\\\\\",t),e.toDataURL(\\\\\\\"image/jpeg\\\\\\\",.6)):e.toDataURL(\\\\\\\"image/png\\\\\\\")}}let xb=0;class bb extends tb{constructor(t=bb.DEFAULT_IMAGE,e=bb.DEFAULT_MAPPING,n=1001,i=1001,s=1006,r=1008,o=1023,a=1009,l=1,c=3e3){super(),Object.defineProperty(this,\\\\\\\"id\\\\\\\",{value:xb++}),this.uuid=ob(),this.name=\\\\\\\"\\\\\\\",this.image=t,this.mipmaps=[],this.mapping=e,this.wrapS=n,this.wrapT=i,this.magFilter=s,this.minFilter=r,this.anisotropy=l,this.format=o,this.internalFormat=null,this.type=a,this.offset=new _b(0,0),this.repeat=new _b(1,1),this.center=new _b(0,0),this.rotation=0,this.matrixAutoUpdate=!0,this.matrix=new mb,this.generateMipmaps=!0,this.premultiplyAlpha=!1,this.flipY=!0,this.unpackAlignment=4,this.encoding=c,this.version=0,this.onUpdate=null,this.isRenderTargetTexture=!1}updateMatrix(){this.matrix.setUvTransform(this.offset.x,this.offset.y,this.repeat.x,this.repeat.y,this.rotation,this.center.x,this.center.y)}clone(){return(new this.constructor).copy(this)}copy(t){return this.name=t.name,this.image=t.image,this.mipmaps=t.mipmaps.slice(0),this.mapping=t.mapping,this.wrapS=t.wrapS,this.wrapT=t.wrapT,this.magFilter=t.magFilter,this.minFilter=t.minFilter,this.anisotropy=t.anisotropy,this.format=t.format,this.internalFormat=t.internalFormat,this.type=t.type,this.offset.copy(t.offset),this.repeat.copy(t.repeat),this.center.copy(t.center),this.rotation=t.rotation,this.matrixAutoUpdate=t.matrixAutoUpdate,this.matrix.copy(t.matrix),this.generateMipmaps=t.generateMipmaps,this.premultiplyAlpha=t.premultiplyAlpha,this.flipY=t.flipY,this.unpackAlignment=t.unpackAlignment,this.encoding=t.encoding,this}toJSON(t){const e=void 0===t||\\\\\\\"string\\\\\\\"==typeof t;if(!e&&void 0!==t.textures[this.uuid])return t.textures[this.uuid];const n={metadata:{version:4.5,type:\\\\\\\"Texture\\\\\\\",generator:\\\\\\\"Texture.toJSON\\\\\\\"},uuid:this.uuid,name:this.name,mapping:this.mapping,repeat:[this.repeat.x,this.repeat.y],offset:[this.offset.x,this.offset.y],center:[this.center.x,this.center.y],rotation:this.rotation,wrap:[this.wrapS,this.wrapT],format:this.format,type:this.type,encoding:this.encoding,minFilter:this.minFilter,magFilter:this.magFilter,anisotropy:this.anisotropy,flipY:this.flipY,premultiplyAlpha:this.premultiplyAlpha,unpackAlignment:this.unpackAlignment};if(void 0!==this.image){const i=this.image;if(void 0===i.uuid&&(i.uuid=ob()),!e&&void 0===t.images[i.uuid]){let e;if(Array.isArray(i)){e=[];for(let t=0,n=i.length;t1)switch(this.wrapS){case xx:t.x=t.x-Math.floor(t.x);break;case bx:t.x=t.x<0?0:1;break;case wx:1===Math.abs(Math.floor(t.x)%2)?t.x=Math.ceil(t.x)-t.x:t.x=t.x-Math.floor(t.x)}if(t.y<0||t.y>1)switch(this.wrapT){case xx:t.y=t.y-Math.floor(t.y);break;case bx:t.y=t.y<0?0:1;break;case wx:1===Math.abs(Math.floor(t.y)%2)?t.y=Math.ceil(t.y)-t.y:t.y=t.y-Math.floor(t.y)}return this.flipY&&(t.y=1-t.y),t}set needsUpdate(t){!0===t&&this.version++}}function wb(t){return\\\\\\\"undefined\\\\\\\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\\\\\\\"undefined\\\\\\\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\\\\\\\"undefined\\\\\\\"!=typeof ImageBitmap&&t instanceof ImageBitmap?yb.getDataURL(t):t.data?{data:Array.prototype.slice.call(t.data),width:t.width,height:t.height,type:t.data.constructor.name}:(console.warn(\\\\\\\"THREE.Texture: Unable to serialize Texture.\\\\\\\"),{})}bb.DEFAULT_IMAGE=void 0,bb.DEFAULT_MAPPING=300,bb.prototype.isTexture=!0;class Tb{constructor(t=0,e=0,n=0,i=1){this.x=t,this.y=e,this.z=n,this.w=i}get width(){return this.z}set width(t){this.z=t}get height(){return this.w}set height(t){this.w=t}set(t,e,n,i){return this.x=t,this.y=e,this.z=n,this.w=i,this}setScalar(t){return this.x=t,this.y=t,this.z=t,this.w=t,this}setX(t){return this.x=t,this}setY(t){return this.y=t,this}setZ(t){return this.z=t,this}setW(t){return this.w=t,this}setComponent(t,e){switch(t){case 0:this.x=e;break;case 1:this.y=e;break;case 2:this.z=e;break;case 3:this.w=e;break;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}return this}getComponent(t){switch(t){case 0:return this.x;case 1:return this.y;case 2:return this.z;case 3:return this.w;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}}clone(){return new this.constructor(this.x,this.y,this.z,this.w)}copy(t){return this.x=t.x,this.y=t.y,this.z=t.z,this.w=void 0!==t.w?t.w:1,this}add(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector4: .add() now only accepts one argument. Use .addVectors( a, b ) instead.\\\\\\\"),this.addVectors(t,e)):(this.x+=t.x,this.y+=t.y,this.z+=t.z,this.w+=t.w,this)}addScalar(t){return this.x+=t,this.y+=t,this.z+=t,this.w+=t,this}addVectors(t,e){return this.x=t.x+e.x,this.y=t.y+e.y,this.z=t.z+e.z,this.w=t.w+e.w,this}addScaledVector(t,e){return this.x+=t.x*e,this.y+=t.y*e,this.z+=t.z*e,this.w+=t.w*e,this}sub(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector4: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.\\\\\\\"),this.subVectors(t,e)):(this.x-=t.x,this.y-=t.y,this.z-=t.z,this.w-=t.w,this)}subScalar(t){return this.x-=t,this.y-=t,this.z-=t,this.w-=t,this}subVectors(t,e){return this.x=t.x-e.x,this.y=t.y-e.y,this.z=t.z-e.z,this.w=t.w-e.w,this}multiply(t){return this.x*=t.x,this.y*=t.y,this.z*=t.z,this.w*=t.w,this}multiplyScalar(t){return this.x*=t,this.y*=t,this.z*=t,this.w*=t,this}applyMatrix4(t){const e=this.x,n=this.y,i=this.z,s=this.w,r=t.elements;return this.x=r[0]*e+r[4]*n+r[8]*i+r[12]*s,this.y=r[1]*e+r[5]*n+r[9]*i+r[13]*s,this.z=r[2]*e+r[6]*n+r[10]*i+r[14]*s,this.w=r[3]*e+r[7]*n+r[11]*i+r[15]*s,this}divideScalar(t){return this.multiplyScalar(1/t)}setAxisAngleFromQuaternion(t){this.w=2*Math.acos(t.w);const e=Math.sqrt(1-t.w*t.w);return e<1e-4?(this.x=1,this.y=0,this.z=0):(this.x=t.x/e,this.y=t.y/e,this.z=t.z/e),this}setAxisAngleFromRotationMatrix(t){let e,n,i,s;const r=.01,o=.1,a=t.elements,l=a[0],c=a[4],h=a[8],u=a[1],d=a[5],p=a[9],_=a[2],m=a[6],f=a[10];if(Math.abs(c-u)a&&t>g?tg?a=0?1:-1,i=1-e*e;if(i>Number.EPSILON){const s=Math.sqrt(i),r=Math.atan2(s,e*n);t=Math.sin(t*r)/s,o=Math.sin(o*r)/s}const s=o*n;if(a=a*t+u*s,l=l*t+d*s,c=c*t+p*s,h=h*t+_*s,t===1-o){const t=1/Math.sqrt(a*a+l*l+c*c+h*h);a*=t,l*=t,c*=t,h*=t}}t[e]=a,t[e+1]=l,t[e+2]=c,t[e+3]=h}static multiplyQuaternionsFlat(t,e,n,i,s,r){const o=n[i],a=n[i+1],l=n[i+2],c=n[i+3],h=s[r],u=s[r+1],d=s[r+2],p=s[r+3];return t[e]=o*p+c*h+a*d-l*u,t[e+1]=a*p+c*u+l*h-o*d,t[e+2]=l*p+c*d+o*u-a*h,t[e+3]=c*p-o*h-a*u-l*d,t}get x(){return this._x}set x(t){this._x=t,this._onChangeCallback()}get y(){return this._y}set y(t){this._y=t,this._onChangeCallback()}get z(){return this._z}set z(t){this._z=t,this._onChangeCallback()}get w(){return this._w}set w(t){this._w=t,this._onChangeCallback()}set(t,e,n,i){return this._x=t,this._y=e,this._z=n,this._w=i,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._w)}copy(t){return this._x=t.x,this._y=t.y,this._z=t.z,this._w=t.w,this._onChangeCallback(),this}setFromEuler(t,e){if(!t||!t.isEuler)throw new Error(\\\\\\\"THREE.Quaternion: .setFromEuler() now expects an Euler rotation rather than a Vector3 and order.\\\\\\\");const n=t._x,i=t._y,s=t._z,r=t._order,o=Math.cos,a=Math.sin,l=o(n/2),c=o(i/2),h=o(s/2),u=a(n/2),d=a(i/2),p=a(s/2);switch(r){case\\\\\\\"XYZ\\\\\\\":this._x=u*c*h+l*d*p,this._y=l*d*h-u*c*p,this._z=l*c*p+u*d*h,this._w=l*c*h-u*d*p;break;case\\\\\\\"YXZ\\\\\\\":this._x=u*c*h+l*d*p,this._y=l*d*h-u*c*p,this._z=l*c*p-u*d*h,this._w=l*c*h+u*d*p;break;case\\\\\\\"ZXY\\\\\\\":this._x=u*c*h-l*d*p,this._y=l*d*h+u*c*p,this._z=l*c*p+u*d*h,this._w=l*c*h-u*d*p;break;case\\\\\\\"ZYX\\\\\\\":this._x=u*c*h-l*d*p,this._y=l*d*h+u*c*p,this._z=l*c*p-u*d*h,this._w=l*c*h+u*d*p;break;case\\\\\\\"YZX\\\\\\\":this._x=u*c*h+l*d*p,this._y=l*d*h+u*c*p,this._z=l*c*p-u*d*h,this._w=l*c*h-u*d*p;break;case\\\\\\\"XZY\\\\\\\":this._x=u*c*h-l*d*p,this._y=l*d*h-u*c*p,this._z=l*c*p+u*d*h,this._w=l*c*h+u*d*p;break;default:console.warn(\\\\\\\"THREE.Quaternion: .setFromEuler() encountered an unknown order: \\\\\\\"+r)}return!1!==e&&this._onChangeCallback(),this}setFromAxisAngle(t,e){const n=e/2,i=Math.sin(n);return this._x=t.x*i,this._y=t.y*i,this._z=t.z*i,this._w=Math.cos(n),this._onChangeCallback(),this}setFromRotationMatrix(t){const e=t.elements,n=e[0],i=e[4],s=e[8],r=e[1],o=e[5],a=e[9],l=e[2],c=e[6],h=e[10],u=n+o+h;if(u>0){const t=.5/Math.sqrt(u+1);this._w=.25/t,this._x=(c-a)*t,this._y=(s-l)*t,this._z=(r-i)*t}else if(n>o&&n>h){const t=2*Math.sqrt(1+n-o-h);this._w=(c-a)/t,this._x=.25*t,this._y=(i+r)/t,this._z=(s+l)/t}else if(o>h){const t=2*Math.sqrt(1+o-n-h);this._w=(s-l)/t,this._x=(i+r)/t,this._y=.25*t,this._z=(a+c)/t}else{const t=2*Math.sqrt(1+h-n-o);this._w=(r-i)/t,this._x=(s+l)/t,this._y=(a+c)/t,this._z=.25*t}return this._onChangeCallback(),this}setFromUnitVectors(t,e){let n=t.dot(e)+1;return nMath.abs(t.z)?(this._x=-t.y,this._y=t.x,this._z=0,this._w=n):(this._x=0,this._y=-t.z,this._z=t.y,this._w=n)):(this._x=t.y*e.z-t.z*e.y,this._y=t.z*e.x-t.x*e.z,this._z=t.x*e.y-t.y*e.x,this._w=n),this.normalize()}angleTo(t){return 2*Math.acos(Math.abs(ab(this.dot(t),-1,1)))}rotateTowards(t,e){const n=this.angleTo(t);if(0===n)return this;const i=Math.min(1,e/n);return this.slerp(t,i),this}identity(){return this.set(0,0,0,1)}invert(){return this.conjugate()}conjugate(){return this._x*=-1,this._y*=-1,this._z*=-1,this._onChangeCallback(),this}dot(t){return this._x*t._x+this._y*t._y+this._z*t._z+this._w*t._w}lengthSq(){return this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w}length(){return Math.sqrt(this._x*this._x+this._y*this._y+this._z*this._z+this._w*this._w)}normalize(){let t=this.length();return 0===t?(this._x=0,this._y=0,this._z=0,this._w=1):(t=1/t,this._x=this._x*t,this._y=this._y*t,this._z=this._z*t,this._w=this._w*t),this._onChangeCallback(),this}multiply(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Quaternion: .multiply() now only accepts one argument. Use .multiplyQuaternions( a, b ) instead.\\\\\\\"),this.multiplyQuaternions(t,e)):this.multiplyQuaternions(this,t)}premultiply(t){return this.multiplyQuaternions(t,this)}multiplyQuaternions(t,e){const n=t._x,i=t._y,s=t._z,r=t._w,o=e._x,a=e._y,l=e._z,c=e._w;return this._x=n*c+r*o+i*l-s*a,this._y=i*c+r*a+s*o-n*l,this._z=s*c+r*l+n*a-i*o,this._w=r*c-n*o-i*a-s*l,this._onChangeCallback(),this}slerp(t,e){if(0===e)return this;if(1===e)return this.copy(t);const n=this._x,i=this._y,s=this._z,r=this._w;let o=r*t._w+n*t._x+i*t._y+s*t._z;if(o<0?(this._w=-t._w,this._x=-t._x,this._y=-t._y,this._z=-t._z,o=-o):this.copy(t),o>=1)return this._w=r,this._x=n,this._y=i,this._z=s,this;const a=1-o*o;if(a<=Number.EPSILON){const t=1-e;return this._w=t*r+e*this._w,this._x=t*n+e*this._x,this._y=t*i+e*this._y,this._z=t*s+e*this._z,this.normalize(),this._onChangeCallback(),this}const l=Math.sqrt(a),c=Math.atan2(l,o),h=Math.sin((1-e)*c)/l,u=Math.sin(e*c)/l;return this._w=r*h+this._w*u,this._x=n*h+this._x*u,this._y=i*h+this._y*u,this._z=s*h+this._z*u,this._onChangeCallback(),this}slerpQuaternions(t,e,n){this.copy(t).slerp(e,n)}random(){const t=Math.random(),e=Math.sqrt(1-t),n=Math.sqrt(t),i=2*Math.PI*Math.random(),s=2*Math.PI*Math.random();return this.set(e*Math.cos(i),n*Math.sin(s),n*Math.cos(s),e*Math.sin(i))}equals(t){return t._x===this._x&&t._y===this._y&&t._z===this._z&&t._w===this._w}fromArray(t,e=0){return this._x=t[e],this._y=t[e+1],this._z=t[e+2],this._w=t[e+3],this._onChangeCallback(),this}toArray(t=[],e=0){return t[e]=this._x,t[e+1]=this._y,t[e+2]=this._z,t[e+3]=this._w,t}fromBufferAttribute(t,e){return this._x=t.getX(e),this._y=t.getY(e),this._z=t.getZ(e),this._w=t.getW(e),this}_onChange(t){return this._onChangeCallback=t,this}_onChangeCallback(){}}Eb.prototype.isQuaternion=!0;class Sb{constructor(t=0,e=0,n=0){this.x=t,this.y=e,this.z=n}set(t,e,n){return void 0===n&&(n=this.z),this.x=t,this.y=e,this.z=n,this}setScalar(t){return this.x=t,this.y=t,this.z=t,this}setX(t){return this.x=t,this}setY(t){return this.y=t,this}setZ(t){return this.z=t,this}setComponent(t,e){switch(t){case 0:this.x=e;break;case 1:this.y=e;break;case 2:this.z=e;break;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}return this}getComponent(t){switch(t){case 0:return this.x;case 1:return this.y;case 2:return this.z;default:throw new Error(\\\\\\\"index is out of range: \\\\\\\"+t)}}clone(){return new this.constructor(this.x,this.y,this.z)}copy(t){return this.x=t.x,this.y=t.y,this.z=t.z,this}add(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector3: .add() now only accepts one argument. Use .addVectors( a, b ) instead.\\\\\\\"),this.addVectors(t,e)):(this.x+=t.x,this.y+=t.y,this.z+=t.z,this)}addScalar(t){return this.x+=t,this.y+=t,this.z+=t,this}addVectors(t,e){return this.x=t.x+e.x,this.y=t.y+e.y,this.z=t.z+e.z,this}addScaledVector(t,e){return this.x+=t.x*e,this.y+=t.y*e,this.z+=t.z*e,this}sub(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector3: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.\\\\\\\"),this.subVectors(t,e)):(this.x-=t.x,this.y-=t.y,this.z-=t.z,this)}subScalar(t){return this.x-=t,this.y-=t,this.z-=t,this}subVectors(t,e){return this.x=t.x-e.x,this.y=t.y-e.y,this.z=t.z-e.z,this}multiply(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector3: .multiply() now only accepts one argument. Use .multiplyVectors( a, b ) instead.\\\\\\\"),this.multiplyVectors(t,e)):(this.x*=t.x,this.y*=t.y,this.z*=t.z,this)}multiplyScalar(t){return this.x*=t,this.y*=t,this.z*=t,this}multiplyVectors(t,e){return this.x=t.x*e.x,this.y=t.y*e.y,this.z=t.z*e.z,this}applyEuler(t){return t&&t.isEuler||console.error(\\\\\\\"THREE.Vector3: .applyEuler() now expects an Euler rotation rather than a Vector3 and order.\\\\\\\"),this.applyQuaternion(Nb.setFromEuler(t))}applyAxisAngle(t,e){return this.applyQuaternion(Nb.setFromAxisAngle(t,e))}applyMatrix3(t){const e=this.x,n=this.y,i=this.z,s=t.elements;return this.x=s[0]*e+s[3]*n+s[6]*i,this.y=s[1]*e+s[4]*n+s[7]*i,this.z=s[2]*e+s[5]*n+s[8]*i,this}applyNormalMatrix(t){return this.applyMatrix3(t).normalize()}applyMatrix4(t){const e=this.x,n=this.y,i=this.z,s=t.elements,r=1/(s[3]*e+s[7]*n+s[11]*i+s[15]);return this.x=(s[0]*e+s[4]*n+s[8]*i+s[12])*r,this.y=(s[1]*e+s[5]*n+s[9]*i+s[13])*r,this.z=(s[2]*e+s[6]*n+s[10]*i+s[14])*r,this}applyQuaternion(t){const e=this.x,n=this.y,i=this.z,s=t.x,r=t.y,o=t.z,a=t.w,l=a*e+r*i-o*n,c=a*n+o*e-s*i,h=a*i+s*n-r*e,u=-s*e-r*n-o*i;return this.x=l*a+u*-s+c*-o-h*-r,this.y=c*a+u*-r+h*-s-l*-o,this.z=h*a+u*-o+l*-r-c*-s,this}project(t){return this.applyMatrix4(t.matrixWorldInverse).applyMatrix4(t.projectionMatrix)}unproject(t){return this.applyMatrix4(t.projectionMatrixInverse).applyMatrix4(t.matrixWorld)}transformDirection(t){const e=this.x,n=this.y,i=this.z,s=t.elements;return this.x=s[0]*e+s[4]*n+s[8]*i,this.y=s[1]*e+s[5]*n+s[9]*i,this.z=s[2]*e+s[6]*n+s[10]*i,this.normalize()}divide(t){return this.x/=t.x,this.y/=t.y,this.z/=t.z,this}divideScalar(t){return this.multiplyScalar(1/t)}min(t){return this.x=Math.min(this.x,t.x),this.y=Math.min(this.y,t.y),this.z=Math.min(this.z,t.z),this}max(t){return this.x=Math.max(this.x,t.x),this.y=Math.max(this.y,t.y),this.z=Math.max(this.z,t.z),this}clamp(t,e){return this.x=Math.max(t.x,Math.min(e.x,this.x)),this.y=Math.max(t.y,Math.min(e.y,this.y)),this.z=Math.max(t.z,Math.min(e.z,this.z)),this}clampScalar(t,e){return this.x=Math.max(t,Math.min(e,this.x)),this.y=Math.max(t,Math.min(e,this.y)),this.z=Math.max(t,Math.min(e,this.z)),this}clampLength(t,e){const n=this.length();return this.divideScalar(n||1).multiplyScalar(Math.max(t,Math.min(e,n)))}floor(){return this.x=Math.floor(this.x),this.y=Math.floor(this.y),this.z=Math.floor(this.z),this}ceil(){return this.x=Math.ceil(this.x),this.y=Math.ceil(this.y),this.z=Math.ceil(this.z),this}round(){return this.x=Math.round(this.x),this.y=Math.round(this.y),this.z=Math.round(this.z),this}roundToZero(){return this.x=this.x<0?Math.ceil(this.x):Math.floor(this.x),this.y=this.y<0?Math.ceil(this.y):Math.floor(this.y),this.z=this.z<0?Math.ceil(this.z):Math.floor(this.z),this}negate(){return this.x=-this.x,this.y=-this.y,this.z=-this.z,this}dot(t){return this.x*t.x+this.y*t.y+this.z*t.z}lengthSq(){return this.x*this.x+this.y*this.y+this.z*this.z}length(){return Math.sqrt(this.x*this.x+this.y*this.y+this.z*this.z)}manhattanLength(){return Math.abs(this.x)+Math.abs(this.y)+Math.abs(this.z)}normalize(){return this.divideScalar(this.length()||1)}setLength(t){return this.normalize().multiplyScalar(t)}lerp(t,e){return this.x+=(t.x-this.x)*e,this.y+=(t.y-this.y)*e,this.z+=(t.z-this.z)*e,this}lerpVectors(t,e,n){return this.x=t.x+(e.x-t.x)*n,this.y=t.y+(e.y-t.y)*n,this.z=t.z+(e.z-t.z)*n,this}cross(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Vector3: .cross() now only accepts one argument. Use .crossVectors( a, b ) instead.\\\\\\\"),this.crossVectors(t,e)):this.crossVectors(this,t)}crossVectors(t,e){const n=t.x,i=t.y,s=t.z,r=e.x,o=e.y,a=e.z;return this.x=i*a-s*o,this.y=s*r-n*a,this.z=n*o-i*r,this}projectOnVector(t){const e=t.lengthSq();if(0===e)return this.set(0,0,0);const n=t.dot(this)/e;return this.copy(t).multiplyScalar(n)}projectOnPlane(t){return Cb.copy(this).projectOnVector(t),this.sub(Cb)}reflect(t){return this.sub(Cb.copy(t).multiplyScalar(2*this.dot(t)))}angleTo(t){const e=Math.sqrt(this.lengthSq()*t.lengthSq());if(0===e)return Math.PI/2;const n=this.dot(t)/e;return Math.acos(ab(n,-1,1))}distanceTo(t){return Math.sqrt(this.distanceToSquared(t))}distanceToSquared(t){const e=this.x-t.x,n=this.y-t.y,i=this.z-t.z;return e*e+n*n+i*i}manhattanDistanceTo(t){return Math.abs(this.x-t.x)+Math.abs(this.y-t.y)+Math.abs(this.z-t.z)}setFromSpherical(t){return this.setFromSphericalCoords(t.radius,t.phi,t.theta)}setFromSphericalCoords(t,e,n){const i=Math.sin(e)*t;return this.x=i*Math.sin(n),this.y=Math.cos(e)*t,this.z=i*Math.cos(n),this}setFromCylindrical(t){return this.setFromCylindricalCoords(t.radius,t.theta,t.y)}setFromCylindricalCoords(t,e,n){return this.x=t*Math.sin(e),this.y=n,this.z=t*Math.cos(e),this}setFromMatrixPosition(t){const e=t.elements;return this.x=e[12],this.y=e[13],this.z=e[14],this}setFromMatrixScale(t){const e=this.setFromMatrixColumn(t,0).length(),n=this.setFromMatrixColumn(t,1).length(),i=this.setFromMatrixColumn(t,2).length();return this.x=e,this.y=n,this.z=i,this}setFromMatrixColumn(t,e){return this.fromArray(t.elements,4*e)}setFromMatrix3Column(t,e){return this.fromArray(t.elements,3*e)}equals(t){return t.x===this.x&&t.y===this.y&&t.z===this.z}fromArray(t,e=0){return this.x=t[e],this.y=t[e+1],this.z=t[e+2],this}toArray(t=[],e=0){return t[e]=this.x,t[e+1]=this.y,t[e+2]=this.z,t}fromBufferAttribute(t,e,n){return void 0!==n&&console.warn(\\\\\\\"THREE.Vector3: offset has been removed from .fromBufferAttribute().\\\\\\\"),this.x=t.getX(e),this.y=t.getY(e),this.z=t.getZ(e),this}random(){return this.x=Math.random(),this.y=Math.random(),this.z=Math.random(),this}randomDirection(){const t=2*(Math.random()-.5),e=Math.random()*Math.PI*2,n=Math.sqrt(1-t**2);return this.x=n*Math.cos(e),this.y=n*Math.sin(e),this.z=t,this}*[Symbol.iterator](){yield this.x,yield this.y,yield this.z}}Sb.prototype.isVector3=!0;const Cb=new Sb,Nb=new Eb;class Lb{constructor(t=new Sb(1/0,1/0,1/0),e=new Sb(-1/0,-1/0,-1/0)){this.min=t,this.max=e}set(t,e){return this.min.copy(t),this.max.copy(e),this}setFromArray(t){let e=1/0,n=1/0,i=1/0,s=-1/0,r=-1/0,o=-1/0;for(let a=0,l=t.length;as&&(s=l),c>r&&(r=c),h>o&&(o=h)}return this.min.set(e,n,i),this.max.set(s,r,o),this}setFromBufferAttribute(t){let e=1/0,n=1/0,i=1/0,s=-1/0,r=-1/0,o=-1/0;for(let a=0,l=t.count;as&&(s=l),c>r&&(r=c),h>o&&(o=h)}return this.min.set(e,n,i),this.max.set(s,r,o),this}setFromPoints(t){this.makeEmpty();for(let e=0,n=t.length;ethis.max.x||t.ythis.max.y||t.zthis.max.z)}containsBox(t){return this.min.x<=t.min.x&&t.max.x<=this.max.x&&this.min.y<=t.min.y&&t.max.y<=this.max.y&&this.min.z<=t.min.z&&t.max.z<=this.max.z}getParameter(t,e){return e.set((t.x-this.min.x)/(this.max.x-this.min.x),(t.y-this.min.y)/(this.max.y-this.min.y),(t.z-this.min.z)/(this.max.z-this.min.z))}intersectsBox(t){return!(t.max.xthis.max.x||t.max.ythis.max.y||t.max.zthis.max.z)}intersectsSphere(t){return this.clampPoint(t.center,Pb),Pb.distanceToSquared(t.center)<=t.radius*t.radius}intersectsPlane(t){let e,n;return t.normal.x>0?(e=t.normal.x*this.min.x,n=t.normal.x*this.max.x):(e=t.normal.x*this.max.x,n=t.normal.x*this.min.x),t.normal.y>0?(e+=t.normal.y*this.min.y,n+=t.normal.y*this.max.y):(e+=t.normal.y*this.max.y,n+=t.normal.y*this.min.y),t.normal.z>0?(e+=t.normal.z*this.min.z,n+=t.normal.z*this.max.z):(e+=t.normal.z*this.max.z,n+=t.normal.z*this.min.z),e<=-t.constant&&n>=-t.constant}intersectsTriangle(t){if(this.isEmpty())return!1;this.getCenter(Ub),Gb.subVectors(this.max,Ub),Ib.subVectors(t.a,Ub),Fb.subVectors(t.b,Ub),Db.subVectors(t.c,Ub),Bb.subVectors(Fb,Ib),zb.subVectors(Db,Fb),kb.subVectors(Ib,Db);let e=[0,-Bb.z,Bb.y,0,-zb.z,zb.y,0,-kb.z,kb.y,Bb.z,0,-Bb.x,zb.z,0,-zb.x,kb.z,0,-kb.x,-Bb.y,Bb.x,0,-zb.y,zb.x,0,-kb.y,kb.x,0];return!!jb(e,Ib,Fb,Db,Gb)&&(e=[1,0,0,0,1,0,0,0,1],!!jb(e,Ib,Fb,Db,Gb)&&(Vb.crossVectors(Bb,zb),e=[Vb.x,Vb.y,Vb.z],jb(e,Ib,Fb,Db,Gb)))}clampPoint(t,e){return e.copy(t).clamp(this.min,this.max)}distanceToPoint(t){return Pb.copy(t).clamp(this.min,this.max).sub(t).length()}getBoundingSphere(t){return this.getCenter(t.center),t.radius=.5*this.getSize(Pb).length(),t}intersect(t){return this.min.max(t.min),this.max.min(t.max),this.isEmpty()&&this.makeEmpty(),this}union(t){return this.min.min(t.min),this.max.max(t.max),this}applyMatrix4(t){return this.isEmpty()||(Ob[0].set(this.min.x,this.min.y,this.min.z).applyMatrix4(t),Ob[1].set(this.min.x,this.min.y,this.max.z).applyMatrix4(t),Ob[2].set(this.min.x,this.max.y,this.min.z).applyMatrix4(t),Ob[3].set(this.min.x,this.max.y,this.max.z).applyMatrix4(t),Ob[4].set(this.max.x,this.min.y,this.min.z).applyMatrix4(t),Ob[5].set(this.max.x,this.min.y,this.max.z).applyMatrix4(t),Ob[6].set(this.max.x,this.max.y,this.min.z).applyMatrix4(t),Ob[7].set(this.max.x,this.max.y,this.max.z).applyMatrix4(t),this.setFromPoints(Ob)),this}translate(t){return this.min.add(t),this.max.add(t),this}equals(t){return t.min.equals(this.min)&&t.max.equals(this.max)}}Lb.prototype.isBox3=!0;const Ob=[new Sb,new Sb,new Sb,new Sb,new Sb,new Sb,new Sb,new Sb],Pb=new Sb,Rb=new Lb,Ib=new Sb,Fb=new Sb,Db=new Sb,Bb=new Sb,zb=new Sb,kb=new Sb,Ub=new Sb,Gb=new Sb,Vb=new Sb,Hb=new Sb;function jb(t,e,n,i,s){for(let r=0,o=t.length-3;r<=o;r+=3){Hb.fromArray(t,r);const o=s.x*Math.abs(Hb.x)+s.y*Math.abs(Hb.y)+s.z*Math.abs(Hb.z),a=e.dot(Hb),l=n.dot(Hb),c=i.dot(Hb);if(Math.max(-Math.max(a,l,c),Math.min(a,l,c))>o)return!1}return!0}const Wb=new Lb,qb=new Sb,Xb=new Sb,Yb=new Sb;class $b{constructor(t=new Sb,e=-1){this.center=t,this.radius=e}set(t,e){return this.center.copy(t),this.radius=e,this}setFromPoints(t,e){const n=this.center;void 0!==e?n.copy(e):Wb.setFromPoints(t).getCenter(n);let i=0;for(let e=0,s=t.length;ethis.radius*this.radius&&(e.sub(this.center).normalize(),e.multiplyScalar(this.radius).add(this.center)),e}getBoundingBox(t){return this.isEmpty()?(t.makeEmpty(),t):(t.set(this.center,this.center),t.expandByScalar(this.radius),t)}applyMatrix4(t){return this.center.applyMatrix4(t),this.radius=this.radius*t.getMaxScaleOnAxis(),this}translate(t){return this.center.add(t),this}expandByPoint(t){Yb.subVectors(t,this.center);const e=Yb.lengthSq();if(e>this.radius*this.radius){const t=Math.sqrt(e),n=.5*(t-this.radius);this.center.add(Yb.multiplyScalar(n/t)),this.radius+=n}return this}union(t){return Xb.subVectors(t.center,this.center).normalize().multiplyScalar(t.radius),this.expandByPoint(qb.copy(t.center).add(Xb)),this.expandByPoint(qb.copy(t.center).sub(Xb)),this}equals(t){return t.center.equals(this.center)&&t.radius===this.radius}clone(){return(new this.constructor).copy(this)}}const Jb=new Sb,Zb=new Sb,Kb=new Sb,Qb=new Sb,tw=new Sb,ew=new Sb,nw=new Sb;class iw{constructor(t=new Sb,e=new Sb(0,0,-1)){this.origin=t,this.direction=e}set(t,e){return this.origin.copy(t),this.direction.copy(e),this}copy(t){return this.origin.copy(t.origin),this.direction.copy(t.direction),this}at(t,e){return e.copy(this.direction).multiplyScalar(t).add(this.origin)}lookAt(t){return this.direction.copy(t).sub(this.origin).normalize(),this}recast(t){return this.origin.copy(this.at(t,Jb)),this}closestPointToPoint(t,e){e.subVectors(t,this.origin);const n=e.dot(this.direction);return n<0?e.copy(this.origin):e.copy(this.direction).multiplyScalar(n).add(this.origin)}distanceToPoint(t){return Math.sqrt(this.distanceSqToPoint(t))}distanceSqToPoint(t){const e=Jb.subVectors(t,this.origin).dot(this.direction);return e<0?this.origin.distanceToSquared(t):(Jb.copy(this.direction).multiplyScalar(e).add(this.origin),Jb.distanceToSquared(t))}distanceSqToSegment(t,e,n,i){Zb.copy(t).add(e).multiplyScalar(.5),Kb.copy(e).sub(t).normalize(),Qb.copy(this.origin).sub(Zb);const s=.5*t.distanceTo(e),r=-this.direction.dot(Kb),o=Qb.dot(this.direction),a=-Qb.dot(Kb),l=Qb.lengthSq(),c=Math.abs(1-r*r);let h,u,d,p;if(c>0)if(h=r*a-o,u=r*o-a,p=s*c,h>=0)if(u>=-p)if(u<=p){const t=1/c;h*=t,u*=t,d=h*(h+r*u+2*o)+u*(r*h+u+2*a)+l}else u=s,h=Math.max(0,-(r*u+o)),d=-h*h+u*(u+2*a)+l;else u=-s,h=Math.max(0,-(r*u+o)),d=-h*h+u*(u+2*a)+l;else u<=-p?(h=Math.max(0,-(-r*s+o)),u=h>0?-s:Math.min(Math.max(-s,-a),s),d=-h*h+u*(u+2*a)+l):u<=p?(h=0,u=Math.min(Math.max(-s,-a),s),d=u*(u+2*a)+l):(h=Math.max(0,-(r*s+o)),u=h>0?s:Math.min(Math.max(-s,-a),s),d=-h*h+u*(u+2*a)+l);else u=r>0?-s:s,h=Math.max(0,-(r*u+o)),d=-h*h+u*(u+2*a)+l;return n&&n.copy(this.direction).multiplyScalar(h).add(this.origin),i&&i.copy(Kb).multiplyScalar(u).add(Zb),d}intersectSphere(t,e){Jb.subVectors(t.center,this.origin);const n=Jb.dot(this.direction),i=Jb.dot(Jb)-n*n,s=t.radius*t.radius;if(i>s)return null;const r=Math.sqrt(s-i),o=n-r,a=n+r;return o<0&&a<0?null:o<0?this.at(a,e):this.at(o,e)}intersectsSphere(t){return this.distanceSqToPoint(t.center)<=t.radius*t.radius}distanceToPlane(t){const e=t.normal.dot(this.direction);if(0===e)return 0===t.distanceToPoint(this.origin)?0:null;const n=-(this.origin.dot(t.normal)+t.constant)/e;return n>=0?n:null}intersectPlane(t,e){const n=this.distanceToPlane(t);return null===n?null:this.at(n,e)}intersectsPlane(t){const e=t.distanceToPoint(this.origin);if(0===e)return!0;return t.normal.dot(this.direction)*e<0}intersectBox(t,e){let n,i,s,r,o,a;const l=1/this.direction.x,c=1/this.direction.y,h=1/this.direction.z,u=this.origin;return l>=0?(n=(t.min.x-u.x)*l,i=(t.max.x-u.x)*l):(n=(t.max.x-u.x)*l,i=(t.min.x-u.x)*l),c>=0?(s=(t.min.y-u.y)*c,r=(t.max.y-u.y)*c):(s=(t.max.y-u.y)*c,r=(t.min.y-u.y)*c),n>r||s>i?null:((s>n||n!=n)&&(n=s),(r=0?(o=(t.min.z-u.z)*h,a=(t.max.z-u.z)*h):(o=(t.max.z-u.z)*h,a=(t.min.z-u.z)*h),n>a||o>i?null:((o>n||n!=n)&&(n=o),(a=0?n:i,e)))}intersectsBox(t){return null!==this.intersectBox(t,Jb)}intersectTriangle(t,e,n,i,s){tw.subVectors(e,t),ew.subVectors(n,t),nw.crossVectors(tw,ew);let r,o=this.direction.dot(nw);if(o>0){if(i)return null;r=1}else{if(!(o<0))return null;r=-1,o=-o}Qb.subVectors(this.origin,t);const a=r*this.direction.dot(ew.crossVectors(Qb,ew));if(a<0)return null;const l=r*this.direction.dot(tw.cross(Qb));if(l<0)return null;if(a+l>o)return null;const c=-r*Qb.dot(nw);return c<0?null:this.at(c/o,s)}applyMatrix4(t){return this.origin.applyMatrix4(t),this.direction.transformDirection(t),this}equals(t){return t.origin.equals(this.origin)&&t.direction.equals(this.direction)}clone(){return(new this.constructor).copy(this)}}class sw{constructor(){this.elements=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],arguments.length>0&&console.error(\\\\\\\"THREE.Matrix4: the constructor no longer reads arguments. use .set() instead.\\\\\\\")}set(t,e,n,i,s,r,o,a,l,c,h,u,d,p,_,m){const f=this.elements;return f[0]=t,f[4]=e,f[8]=n,f[12]=i,f[1]=s,f[5]=r,f[9]=o,f[13]=a,f[2]=l,f[6]=c,f[10]=h,f[14]=u,f[3]=d,f[7]=p,f[11]=_,f[15]=m,this}identity(){return this.set(1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1),this}clone(){return(new sw).fromArray(this.elements)}copy(t){const e=this.elements,n=t.elements;return e[0]=n[0],e[1]=n[1],e[2]=n[2],e[3]=n[3],e[4]=n[4],e[5]=n[5],e[6]=n[6],e[7]=n[7],e[8]=n[8],e[9]=n[9],e[10]=n[10],e[11]=n[11],e[12]=n[12],e[13]=n[13],e[14]=n[14],e[15]=n[15],this}copyPosition(t){const e=this.elements,n=t.elements;return e[12]=n[12],e[13]=n[13],e[14]=n[14],this}setFromMatrix3(t){const e=t.elements;return this.set(e[0],e[3],e[6],0,e[1],e[4],e[7],0,e[2],e[5],e[8],0,0,0,0,1),this}extractBasis(t,e,n){return t.setFromMatrixColumn(this,0),e.setFromMatrixColumn(this,1),n.setFromMatrixColumn(this,2),this}makeBasis(t,e,n){return this.set(t.x,e.x,n.x,0,t.y,e.y,n.y,0,t.z,e.z,n.z,0,0,0,0,1),this}extractRotation(t){const e=this.elements,n=t.elements,i=1/rw.setFromMatrixColumn(t,0).length(),s=1/rw.setFromMatrixColumn(t,1).length(),r=1/rw.setFromMatrixColumn(t,2).length();return e[0]=n[0]*i,e[1]=n[1]*i,e[2]=n[2]*i,e[3]=0,e[4]=n[4]*s,e[5]=n[5]*s,e[6]=n[6]*s,e[7]=0,e[8]=n[8]*r,e[9]=n[9]*r,e[10]=n[10]*r,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,this}makeRotationFromEuler(t){t&&t.isEuler||console.error(\\\\\\\"THREE.Matrix4: .makeRotationFromEuler() now expects a Euler rotation rather than a Vector3 and order.\\\\\\\");const e=this.elements,n=t.x,i=t.y,s=t.z,r=Math.cos(n),o=Math.sin(n),a=Math.cos(i),l=Math.sin(i),c=Math.cos(s),h=Math.sin(s);if(\\\\\\\"XYZ\\\\\\\"===t.order){const t=r*c,n=r*h,i=o*c,s=o*h;e[0]=a*c,e[4]=-a*h,e[8]=l,e[1]=n+i*l,e[5]=t-s*l,e[9]=-o*a,e[2]=s-t*l,e[6]=i+n*l,e[10]=r*a}else if(\\\\\\\"YXZ\\\\\\\"===t.order){const t=a*c,n=a*h,i=l*c,s=l*h;e[0]=t+s*o,e[4]=i*o-n,e[8]=r*l,e[1]=r*h,e[5]=r*c,e[9]=-o,e[2]=n*o-i,e[6]=s+t*o,e[10]=r*a}else if(\\\\\\\"ZXY\\\\\\\"===t.order){const t=a*c,n=a*h,i=l*c,s=l*h;e[0]=t-s*o,e[4]=-r*h,e[8]=i+n*o,e[1]=n+i*o,e[5]=r*c,e[9]=s-t*o,e[2]=-r*l,e[6]=o,e[10]=r*a}else if(\\\\\\\"ZYX\\\\\\\"===t.order){const t=r*c,n=r*h,i=o*c,s=o*h;e[0]=a*c,e[4]=i*l-n,e[8]=t*l+s,e[1]=a*h,e[5]=s*l+t,e[9]=n*l-i,e[2]=-l,e[6]=o*a,e[10]=r*a}else if(\\\\\\\"YZX\\\\\\\"===t.order){const t=r*a,n=r*l,i=o*a,s=o*l;e[0]=a*c,e[4]=s-t*h,e[8]=i*h+n,e[1]=h,e[5]=r*c,e[9]=-o*c,e[2]=-l*c,e[6]=n*h+i,e[10]=t-s*h}else if(\\\\\\\"XZY\\\\\\\"===t.order){const t=r*a,n=r*l,i=o*a,s=o*l;e[0]=a*c,e[4]=-h,e[8]=l*c,e[1]=t*h+s,e[5]=r*c,e[9]=n*h-i,e[2]=i*h-n,e[6]=o*c,e[10]=s*h+t}return e[3]=0,e[7]=0,e[11]=0,e[12]=0,e[13]=0,e[14]=0,e[15]=1,this}makeRotationFromQuaternion(t){return this.compose(aw,t,lw)}lookAt(t,e,n){const i=this.elements;return uw.subVectors(t,e),0===uw.lengthSq()&&(uw.z=1),uw.normalize(),cw.crossVectors(n,uw),0===cw.lengthSq()&&(1===Math.abs(n.z)?uw.x+=1e-4:uw.z+=1e-4,uw.normalize(),cw.crossVectors(n,uw)),cw.normalize(),hw.crossVectors(uw,cw),i[0]=cw.x,i[4]=hw.x,i[8]=uw.x,i[1]=cw.y,i[5]=hw.y,i[9]=uw.y,i[2]=cw.z,i[6]=hw.z,i[10]=uw.z,this}multiply(t,e){return void 0!==e?(console.warn(\\\\\\\"THREE.Matrix4: .multiply() now only accepts one argument. Use .multiplyMatrices( a, b ) instead.\\\\\\\"),this.multiplyMatrices(t,e)):this.multiplyMatrices(this,t)}premultiply(t){return this.multiplyMatrices(t,this)}multiplyMatrices(t,e){const n=t.elements,i=e.elements,s=this.elements,r=n[0],o=n[4],a=n[8],l=n[12],c=n[1],h=n[5],u=n[9],d=n[13],p=n[2],_=n[6],m=n[10],f=n[14],g=n[3],v=n[7],y=n[11],x=n[15],b=i[0],w=i[4],T=i[8],A=i[12],M=i[1],E=i[5],S=i[9],C=i[13],N=i[2],L=i[6],O=i[10],P=i[14],R=i[3],I=i[7],F=i[11],D=i[15];return s[0]=r*b+o*M+a*N+l*R,s[4]=r*w+o*E+a*L+l*I,s[8]=r*T+o*S+a*O+l*F,s[12]=r*A+o*C+a*P+l*D,s[1]=c*b+h*M+u*N+d*R,s[5]=c*w+h*E+u*L+d*I,s[9]=c*T+h*S+u*O+d*F,s[13]=c*A+h*C+u*P+d*D,s[2]=p*b+_*M+m*N+f*R,s[6]=p*w+_*E+m*L+f*I,s[10]=p*T+_*S+m*O+f*F,s[14]=p*A+_*C+m*P+f*D,s[3]=g*b+v*M+y*N+x*R,s[7]=g*w+v*E+y*L+x*I,s[11]=g*T+v*S+y*O+x*F,s[15]=g*A+v*C+y*P+x*D,this}multiplyScalar(t){const e=this.elements;return e[0]*=t,e[4]*=t,e[8]*=t,e[12]*=t,e[1]*=t,e[5]*=t,e[9]*=t,e[13]*=t,e[2]*=t,e[6]*=t,e[10]*=t,e[14]*=t,e[3]*=t,e[7]*=t,e[11]*=t,e[15]*=t,this}determinant(){const t=this.elements,e=t[0],n=t[4],i=t[8],s=t[12],r=t[1],o=t[5],a=t[9],l=t[13],c=t[2],h=t[6],u=t[10],d=t[14];return t[3]*(+s*a*h-i*l*h-s*o*u+n*l*u+i*o*d-n*a*d)+t[7]*(+e*a*d-e*l*u+s*r*u-i*r*d+i*l*c-s*a*c)+t[11]*(+e*l*h-e*o*d-s*r*h+n*r*d+s*o*c-n*l*c)+t[15]*(-i*o*c-e*a*h+e*o*u+i*r*h-n*r*u+n*a*c)}transpose(){const t=this.elements;let e;return e=t[1],t[1]=t[4],t[4]=e,e=t[2],t[2]=t[8],t[8]=e,e=t[6],t[6]=t[9],t[9]=e,e=t[3],t[3]=t[12],t[12]=e,e=t[7],t[7]=t[13],t[13]=e,e=t[11],t[11]=t[14],t[14]=e,this}setPosition(t,e,n){const i=this.elements;return t.isVector3?(i[12]=t.x,i[13]=t.y,i[14]=t.z):(i[12]=t,i[13]=e,i[14]=n),this}invert(){const t=this.elements,e=t[0],n=t[1],i=t[2],s=t[3],r=t[4],o=t[5],a=t[6],l=t[7],c=t[8],h=t[9],u=t[10],d=t[11],p=t[12],_=t[13],m=t[14],f=t[15],g=h*m*l-_*u*l+_*a*d-o*m*d-h*a*f+o*u*f,v=p*u*l-c*m*l-p*a*d+r*m*d+c*a*f-r*u*f,y=c*_*l-p*h*l+p*o*d-r*_*d-c*o*f+r*h*f,x=p*h*a-c*_*a-p*o*u+r*_*u+c*o*m-r*h*m,b=e*g+n*v+i*y+s*x;if(0===b)return this.set(0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0);const w=1/b;return t[0]=g*w,t[1]=(_*u*s-h*m*s-_*i*d+n*m*d+h*i*f-n*u*f)*w,t[2]=(o*m*s-_*a*s+_*i*l-n*m*l-o*i*f+n*a*f)*w,t[3]=(h*a*s-o*u*s-h*i*l+n*u*l+o*i*d-n*a*d)*w,t[4]=v*w,t[5]=(c*m*s-p*u*s+p*i*d-e*m*d-c*i*f+e*u*f)*w,t[6]=(p*a*s-r*m*s-p*i*l+e*m*l+r*i*f-e*a*f)*w,t[7]=(r*u*s-c*a*s+c*i*l-e*u*l-r*i*d+e*a*d)*w,t[8]=y*w,t[9]=(p*h*s-c*_*s-p*n*d+e*_*d+c*n*f-e*h*f)*w,t[10]=(r*_*s-p*o*s+p*n*l-e*_*l-r*n*f+e*o*f)*w,t[11]=(c*o*s-r*h*s-c*n*l+e*h*l+r*n*d-e*o*d)*w,t[12]=x*w,t[13]=(c*_*i-p*h*i+p*n*u-e*_*u-c*n*m+e*h*m)*w,t[14]=(p*o*i-r*_*i-p*n*a+e*_*a+r*n*m-e*o*m)*w,t[15]=(r*h*i-c*o*i+c*n*a-e*h*a-r*n*u+e*o*u)*w,this}scale(t){const e=this.elements,n=t.x,i=t.y,s=t.z;return e[0]*=n,e[4]*=i,e[8]*=s,e[1]*=n,e[5]*=i,e[9]*=s,e[2]*=n,e[6]*=i,e[10]*=s,e[3]*=n,e[7]*=i,e[11]*=s,this}getMaxScaleOnAxis(){const t=this.elements,e=t[0]*t[0]+t[1]*t[1]+t[2]*t[2],n=t[4]*t[4]+t[5]*t[5]+t[6]*t[6],i=t[8]*t[8]+t[9]*t[9]+t[10]*t[10];return Math.sqrt(Math.max(e,n,i))}makeTranslation(t,e,n){return this.set(1,0,0,t,0,1,0,e,0,0,1,n,0,0,0,1),this}makeRotationX(t){const e=Math.cos(t),n=Math.sin(t);return this.set(1,0,0,0,0,e,-n,0,0,n,e,0,0,0,0,1),this}makeRotationY(t){const e=Math.cos(t),n=Math.sin(t);return this.set(e,0,n,0,0,1,0,0,-n,0,e,0,0,0,0,1),this}makeRotationZ(t){const e=Math.cos(t),n=Math.sin(t);return this.set(e,-n,0,0,n,e,0,0,0,0,1,0,0,0,0,1),this}makeRotationAxis(t,e){const n=Math.cos(e),i=Math.sin(e),s=1-n,r=t.x,o=t.y,a=t.z,l=s*r,c=s*o;return this.set(l*r+n,l*o-i*a,l*a+i*o,0,l*o+i*a,c*o+n,c*a-i*r,0,l*a-i*o,c*a+i*r,s*a*a+n,0,0,0,0,1),this}makeScale(t,e,n){return this.set(t,0,0,0,0,e,0,0,0,0,n,0,0,0,0,1),this}makeShear(t,e,n,i,s,r){return this.set(1,n,s,0,t,1,r,0,e,i,1,0,0,0,0,1),this}compose(t,e,n){const i=this.elements,s=e._x,r=e._y,o=e._z,a=e._w,l=s+s,c=r+r,h=o+o,u=s*l,d=s*c,p=s*h,_=r*c,m=r*h,f=o*h,g=a*l,v=a*c,y=a*h,x=n.x,b=n.y,w=n.z;return i[0]=(1-(_+f))*x,i[1]=(d+y)*x,i[2]=(p-v)*x,i[3]=0,i[4]=(d-y)*b,i[5]=(1-(u+f))*b,i[6]=(m+g)*b,i[7]=0,i[8]=(p+v)*w,i[9]=(m-g)*w,i[10]=(1-(u+_))*w,i[11]=0,i[12]=t.x,i[13]=t.y,i[14]=t.z,i[15]=1,this}decompose(t,e,n){const i=this.elements;let s=rw.set(i[0],i[1],i[2]).length();const r=rw.set(i[4],i[5],i[6]).length(),o=rw.set(i[8],i[9],i[10]).length();this.determinant()<0&&(s=-s),t.x=i[12],t.y=i[13],t.z=i[14],ow.copy(this);const a=1/s,l=1/r,c=1/o;return ow.elements[0]*=a,ow.elements[1]*=a,ow.elements[2]*=a,ow.elements[4]*=l,ow.elements[5]*=l,ow.elements[6]*=l,ow.elements[8]*=c,ow.elements[9]*=c,ow.elements[10]*=c,e.setFromRotationMatrix(ow),n.x=s,n.y=r,n.z=o,this}makePerspective(t,e,n,i,s,r){void 0===r&&console.warn(\\\\\\\"THREE.Matrix4: .makePerspective() has been redefined and has a new signature. Please check the docs.\\\\\\\");const o=this.elements,a=2*s/(e-t),l=2*s/(n-i),c=(e+t)/(e-t),h=(n+i)/(n-i),u=-(r+s)/(r-s),d=-2*r*s/(r-s);return o[0]=a,o[4]=0,o[8]=c,o[12]=0,o[1]=0,o[5]=l,o[9]=h,o[13]=0,o[2]=0,o[6]=0,o[10]=u,o[14]=d,o[3]=0,o[7]=0,o[11]=-1,o[15]=0,this}makeOrthographic(t,e,n,i,s,r){const o=this.elements,a=1/(e-t),l=1/(n-i),c=1/(r-s),h=(e+t)*a,u=(n+i)*l,d=(r+s)*c;return o[0]=2*a,o[4]=0,o[8]=0,o[12]=-h,o[1]=0,o[5]=2*l,o[9]=0,o[13]=-u,o[2]=0,o[6]=0,o[10]=-2*c,o[14]=-d,o[3]=0,o[7]=0,o[11]=0,o[15]=1,this}equals(t){const e=this.elements,n=t.elements;for(let t=0;t<16;t++)if(e[t]!==n[t])return!1;return!0}fromArray(t,e=0){for(let n=0;n<16;n++)this.elements[n]=t[n+e];return this}toArray(t=[],e=0){const n=this.elements;return t[e]=n[0],t[e+1]=n[1],t[e+2]=n[2],t[e+3]=n[3],t[e+4]=n[4],t[e+5]=n[5],t[e+6]=n[6],t[e+7]=n[7],t[e+8]=n[8],t[e+9]=n[9],t[e+10]=n[10],t[e+11]=n[11],t[e+12]=n[12],t[e+13]=n[13],t[e+14]=n[14],t[e+15]=n[15],t}}sw.prototype.isMatrix4=!0;const rw=new Sb,ow=new sw,aw=new Sb(0,0,0),lw=new Sb(1,1,1),cw=new Sb,hw=new Sb,uw=new Sb,dw=new sw,pw=new Eb;class _w{constructor(t=0,e=0,n=0,i=_w.DefaultOrder){this._x=t,this._y=e,this._z=n,this._order=i}get x(){return this._x}set x(t){this._x=t,this._onChangeCallback()}get y(){return this._y}set y(t){this._y=t,this._onChangeCallback()}get z(){return this._z}set z(t){this._z=t,this._onChangeCallback()}get order(){return this._order}set order(t){this._order=t,this._onChangeCallback()}set(t,e,n,i=this._order){return this._x=t,this._y=e,this._z=n,this._order=i,this._onChangeCallback(),this}clone(){return new this.constructor(this._x,this._y,this._z,this._order)}copy(t){return this._x=t._x,this._y=t._y,this._z=t._z,this._order=t._order,this._onChangeCallback(),this}setFromRotationMatrix(t,e=this._order,n=!0){const i=t.elements,s=i[0],r=i[4],o=i[8],a=i[1],l=i[5],c=i[9],h=i[2],u=i[6],d=i[10];switch(e){case\\\\\\\"XYZ\\\\\\\":this._y=Math.asin(ab(o,-1,1)),Math.abs(o)<.9999999?(this._x=Math.atan2(-c,d),this._z=Math.atan2(-r,s)):(this._x=Math.atan2(u,l),this._z=0);break;case\\\\\\\"YXZ\\\\\\\":this._x=Math.asin(-ab(c,-1,1)),Math.abs(c)<.9999999?(this._y=Math.atan2(o,d),this._z=Math.atan2(a,l)):(this._y=Math.atan2(-h,s),this._z=0);break;case\\\\\\\"ZXY\\\\\\\":this._x=Math.asin(ab(u,-1,1)),Math.abs(u)<.9999999?(this._y=Math.atan2(-h,d),this._z=Math.atan2(-r,l)):(this._y=0,this._z=Math.atan2(a,s));break;case\\\\\\\"ZYX\\\\\\\":this._y=Math.asin(-ab(h,-1,1)),Math.abs(h)<.9999999?(this._x=Math.atan2(u,d),this._z=Math.atan2(a,s)):(this._x=0,this._z=Math.atan2(-r,l));break;case\\\\\\\"YZX\\\\\\\":this._z=Math.asin(ab(a,-1,1)),Math.abs(a)<.9999999?(this._x=Math.atan2(-c,l),this._y=Math.atan2(-h,s)):(this._x=0,this._y=Math.atan2(o,d));break;case\\\\\\\"XZY\\\\\\\":this._z=Math.asin(-ab(r,-1,1)),Math.abs(r)<.9999999?(this._x=Math.atan2(u,l),this._y=Math.atan2(o,s)):(this._x=Math.atan2(-c,d),this._y=0);break;default:console.warn(\\\\\\\"THREE.Euler: .setFromRotationMatrix() encountered an unknown order: \\\\\\\"+e)}return this._order=e,!0===n&&this._onChangeCallback(),this}setFromQuaternion(t,e,n){return dw.makeRotationFromQuaternion(t),this.setFromRotationMatrix(dw,e,n)}setFromVector3(t,e=this._order){return this.set(t.x,t.y,t.z,e)}reorder(t){return pw.setFromEuler(this),this.setFromQuaternion(pw,t)}equals(t){return t._x===this._x&&t._y===this._y&&t._z===this._z&&t._order===this._order}fromArray(t){return this._x=t[0],this._y=t[1],this._z=t[2],void 0!==t[3]&&(this._order=t[3]),this._onChangeCallback(),this}toArray(t=[],e=0){return t[e]=this._x,t[e+1]=this._y,t[e+2]=this._z,t[e+3]=this._order,t}toVector3(t){return t?t.set(this._x,this._y,this._z):new Sb(this._x,this._y,this._z)}_onChange(t){return this._onChangeCallback=t,this}_onChangeCallback(){}}_w.prototype.isEuler=!0,_w.DefaultOrder=\\\\\\\"XYZ\\\\\\\",_w.RotationOrders=[\\\\\\\"XYZ\\\\\\\",\\\\\\\"YZX\\\\\\\",\\\\\\\"ZXY\\\\\\\",\\\\\\\"XZY\\\\\\\",\\\\\\\"YXZ\\\\\\\",\\\\\\\"ZYX\\\\\\\"];class mw{constructor(){this.mask=1}set(t){this.mask=1<1){for(let t=0;t1){for(let t=0;t0){i.children=[];for(let e=0;e0){i.animations=[];for(let e=0;e0&&(n.geometries=e),i.length>0&&(n.materials=i),s.length>0&&(n.textures=s),o.length>0&&(n.images=o),a.length>0&&(n.shapes=a),l.length>0&&(n.skeletons=l),c.length>0&&(n.animations=c)}return n.object=i,n;function r(t){const e=[];for(const n in t){const i=t[n];delete i.metadata,e.push(i)}return e}}clone(t){return(new this.constructor).copy(this,t)}copy(t,e=!0){if(this.name=t.name,this.up.copy(t.up),this.position.copy(t.position),this.rotation.order=t.rotation.order,this.quaternion.copy(t.quaternion),this.scale.copy(t.scale),this.matrix.copy(t.matrix),this.matrixWorld.copy(t.matrixWorld),this.matrixAutoUpdate=t.matrixAutoUpdate,this.matrixWorldNeedsUpdate=t.matrixWorldNeedsUpdate,this.layers.mask=t.layers.mask,this.visible=t.visible,this.castShadow=t.castShadow,this.receiveShadow=t.receiveShadow,this.frustumCulled=t.frustumCulled,this.renderOrder=t.renderOrder,this.userData=JSON.parse(JSON.stringify(t.userData)),!0===e)for(let e=0;e0?i.multiplyScalar(1/Math.sqrt(s)):i.set(0,0,0)}static getBarycoord(t,e,n,i,s){Lw.subVectors(i,e),Ow.subVectors(n,e),Pw.subVectors(t,e);const r=Lw.dot(Lw),o=Lw.dot(Ow),a=Lw.dot(Pw),l=Ow.dot(Ow),c=Ow.dot(Pw),h=r*l-o*o;if(0===h)return s.set(-2,-1,-1);const u=1/h,d=(l*a-o*c)*u,p=(r*c-o*a)*u;return s.set(1-d-p,p,d)}static containsPoint(t,e,n,i){return this.getBarycoord(t,e,n,i,Rw),Rw.x>=0&&Rw.y>=0&&Rw.x+Rw.y<=1}static getUV(t,e,n,i,s,r,o,a){return this.getBarycoord(t,e,n,i,Rw),a.set(0,0),a.addScaledVector(s,Rw.x),a.addScaledVector(r,Rw.y),a.addScaledVector(o,Rw.z),a}static isFrontFacing(t,e,n,i){return Lw.subVectors(n,e),Ow.subVectors(t,e),Lw.cross(Ow).dot(i)<0}set(t,e,n){return this.a.copy(t),this.b.copy(e),this.c.copy(n),this}setFromPointsAndIndices(t,e,n,i){return this.a.copy(t[e]),this.b.copy(t[n]),this.c.copy(t[i]),this}setFromAttributeAndIndices(t,e,n,i){return this.a.fromBufferAttribute(t,e),this.b.fromBufferAttribute(t,n),this.c.fromBufferAttribute(t,i),this}clone(){return(new this.constructor).copy(this)}copy(t){return this.a.copy(t.a),this.b.copy(t.b),this.c.copy(t.c),this}getArea(){return Lw.subVectors(this.c,this.b),Ow.subVectors(this.a,this.b),.5*Lw.cross(Ow).length()}getMidpoint(t){return t.addVectors(this.a,this.b).add(this.c).multiplyScalar(1/3)}getNormal(t){return Uw.getNormal(this.a,this.b,this.c,t)}getPlane(t){return t.setFromCoplanarPoints(this.a,this.b,this.c)}getBarycoord(t,e){return Uw.getBarycoord(t,this.a,this.b,this.c,e)}getUV(t,e,n,i,s){return Uw.getUV(t,this.a,this.b,this.c,e,n,i,s)}containsPoint(t){return Uw.containsPoint(t,this.a,this.b,this.c)}isFrontFacing(t){return Uw.isFrontFacing(this.a,this.b,this.c,t)}intersectsBox(t){return t.intersectsTriangle(this)}closestPointToPoint(t,e){const n=this.a,i=this.b,s=this.c;let r,o;Iw.subVectors(i,n),Fw.subVectors(s,n),Bw.subVectors(t,n);const a=Iw.dot(Bw),l=Fw.dot(Bw);if(a<=0&&l<=0)return e.copy(n);zw.subVectors(t,i);const c=Iw.dot(zw),h=Fw.dot(zw);if(c>=0&&h<=c)return e.copy(i);const u=a*h-c*l;if(u<=0&&a>=0&&c<=0)return r=a/(a-c),e.copy(n).addScaledVector(Iw,r);kw.subVectors(t,s);const d=Iw.dot(kw),p=Fw.dot(kw);if(p>=0&&d<=p)return e.copy(s);const _=d*l-a*p;if(_<=0&&l>=0&&p<=0)return o=l/(l-p),e.copy(n).addScaledVector(Fw,o);const m=c*p-d*h;if(m<=0&&h-c>=0&&d-p>=0)return Dw.subVectors(s,i),o=(h-c)/(h-c+(d-p)),e.copy(i).addScaledVector(Dw,o);const f=1/(m+_+u);return r=_*f,o=u*f,e.copy(n).addScaledVector(Iw,r).addScaledVector(Fw,o)}equals(t){return t.a.equals(this.a)&&t.b.equals(this.b)&&t.c.equals(this.c)}}let Gw=0;class Vw extends tb{constructor(){super(),Object.defineProperty(this,\\\\\\\"id\\\\\\\",{value:Gw++}),this.uuid=ob(),this.name=\\\\\\\"\\\\\\\",this.type=\\\\\\\"Material\\\\\\\",this.fog=!0,this.blending=1,this.side=0,this.vertexColors=!1,this.opacity=1,this.format=Dx,this.transparent=!1,this.blendSrc=204,this.blendDst=205,this.blendEquation=px,this.blendSrcAlpha=null,this.blendDstAlpha=null,this.blendEquationAlpha=null,this.depthFunc=3,this.depthTest=!0,this.depthWrite=!0,this.stencilWriteMask=255,this.stencilFunc=519,this.stencilRef=0,this.stencilFuncMask=255,this.stencilFail=Jx,this.stencilZFail=Jx,this.stencilZPass=Jx,this.stencilWrite=!1,this.clippingPlanes=null,this.clipIntersection=!1,this.clipShadows=!1,this.shadowSide=null,this.colorWrite=!0,this.precision=null,this.polygonOffset=!1,this.polygonOffsetFactor=0,this.polygonOffsetUnits=0,this.dithering=!1,this.alphaToCoverage=!1,this.premultipliedAlpha=!1,this.visible=!0,this.toneMapped=!0,this.userData={},this.version=0,this._alphaTest=0}get alphaTest(){return this._alphaTest}set alphaTest(t){this._alphaTest>0!=t>0&&this.version++,this._alphaTest=t}onBuild(){}onBeforeRender(){}onBeforeCompile(){}customProgramCacheKey(){return this.onBeforeCompile.toString()}setValues(t){if(void 0!==t)for(const e in t){const n=t[e];if(void 0===n){console.warn(\\\\\\\"THREE.Material: '\\\\\\\"+e+\\\\\\\"' parameter is undefined.\\\\\\\");continue}if(\\\\\\\"shading\\\\\\\"===e){console.warn(\\\\\\\"THREE.\\\\\\\"+this.type+\\\\\\\": .shading has been removed. Use the boolean .flatShading instead.\\\\\\\"),this.flatShading=1===n;continue}const i=this[e];void 0!==i?i&&i.isColor?i.set(n):i&&i.isVector3&&n&&n.isVector3?i.copy(n):this[e]=n:console.warn(\\\\\\\"THREE.\\\\\\\"+this.type+\\\\\\\": '\\\\\\\"+e+\\\\\\\"' is not a property of this material.\\\\\\\")}}toJSON(t){const e=void 0===t||\\\\\\\"string\\\\\\\"==typeof t;e&&(t={textures:{},images:{}});const n={metadata:{version:4.5,type:\\\\\\\"Material\\\\\\\",generator:\\\\\\\"Material.toJSON\\\\\\\"}};function i(t){const e=[];for(const n in t){const i=t[n];delete i.metadata,e.push(i)}return e}if(n.uuid=this.uuid,n.type=this.type,\\\\\\\"\\\\\\\"!==this.name&&(n.name=this.name),this.color&&this.color.isColor&&(n.color=this.color.getHex()),void 0!==this.roughness&&(n.roughness=this.roughness),void 0!==this.metalness&&(n.metalness=this.metalness),void 0!==this.sheen&&(n.sheen=this.sheen),this.sheenTint&&this.sheenTint.isColor&&(n.sheenTint=this.sheenTint.getHex()),void 0!==this.sheenRoughness&&(n.sheenRoughness=this.sheenRoughness),this.emissive&&this.emissive.isColor&&(n.emissive=this.emissive.getHex()),this.emissiveIntensity&&1!==this.emissiveIntensity&&(n.emissiveIntensity=this.emissiveIntensity),this.specular&&this.specular.isColor&&(n.specular=this.specular.getHex()),void 0!==this.specularIntensity&&(n.specularIntensity=this.specularIntensity),this.specularTint&&this.specularTint.isColor&&(n.specularTint=this.specularTint.getHex()),void 0!==this.shininess&&(n.shininess=this.shininess),void 0!==this.clearcoat&&(n.clearcoat=this.clearcoat),void 0!==this.clearcoatRoughness&&(n.clearcoatRoughness=this.clearcoatRoughness),this.clearcoatMap&&this.clearcoatMap.isTexture&&(n.clearcoatMap=this.clearcoatMap.toJSON(t).uuid),this.clearcoatRoughnessMap&&this.clearcoatRoughnessMap.isTexture&&(n.clearcoatRoughnessMap=this.clearcoatRoughnessMap.toJSON(t).uuid),this.clearcoatNormalMap&&this.clearcoatNormalMap.isTexture&&(n.clearcoatNormalMap=this.clearcoatNormalMap.toJSON(t).uuid,n.clearcoatNormalScale=this.clearcoatNormalScale.toArray()),this.map&&this.map.isTexture&&(n.map=this.map.toJSON(t).uuid),this.matcap&&this.matcap.isTexture&&(n.matcap=this.matcap.toJSON(t).uuid),this.alphaMap&&this.alphaMap.isTexture&&(n.alphaMap=this.alphaMap.toJSON(t).uuid),this.lightMap&&this.lightMap.isTexture&&(n.lightMap=this.lightMap.toJSON(t).uuid,n.lightMapIntensity=this.lightMapIntensity),this.aoMap&&this.aoMap.isTexture&&(n.aoMap=this.aoMap.toJSON(t).uuid,n.aoMapIntensity=this.aoMapIntensity),this.bumpMap&&this.bumpMap.isTexture&&(n.bumpMap=this.bumpMap.toJSON(t).uuid,n.bumpScale=this.bumpScale),this.normalMap&&this.normalMap.isTexture&&(n.normalMap=this.normalMap.toJSON(t).uuid,n.normalMapType=this.normalMapType,n.normalScale=this.normalScale.toArray()),this.displacementMap&&this.displacementMap.isTexture&&(n.displacementMap=this.displacementMap.toJSON(t).uuid,n.displacementScale=this.displacementScale,n.displacementBias=this.displacementBias),this.roughnessMap&&this.roughnessMap.isTexture&&(n.roughnessMap=this.roughnessMap.toJSON(t).uuid),this.metalnessMap&&this.metalnessMap.isTexture&&(n.metalnessMap=this.metalnessMap.toJSON(t).uuid),this.emissiveMap&&this.emissiveMap.isTexture&&(n.emissiveMap=this.emissiveMap.toJSON(t).uuid),this.specularMap&&this.specularMap.isTexture&&(n.specularMap=this.specularMap.toJSON(t).uuid),this.specularIntensityMap&&this.specularIntensityMap.isTexture&&(n.specularIntensityMap=this.specularIntensityMap.toJSON(t).uuid),this.specularTintMap&&this.specularTintMap.isTexture&&(n.specularTintMap=this.specularTintMap.toJSON(t).uuid),this.envMap&&this.envMap.isTexture&&(n.envMap=this.envMap.toJSON(t).uuid,void 0!==this.combine&&(n.combine=this.combine)),void 0!==this.envMapIntensity&&(n.envMapIntensity=this.envMapIntensity),void 0!==this.reflectivity&&(n.reflectivity=this.reflectivity),void 0!==this.refractionRatio&&(n.refractionRatio=this.refractionRatio),this.gradientMap&&this.gradientMap.isTexture&&(n.gradientMap=this.gradientMap.toJSON(t).uuid),void 0!==this.transmission&&(n.transmission=this.transmission),this.transmissionMap&&this.transmissionMap.isTexture&&(n.transmissionMap=this.transmissionMap.toJSON(t).uuid),void 0!==this.thickness&&(n.thickness=this.thickness),this.thicknessMap&&this.thicknessMap.isTexture&&(n.thicknessMap=this.thicknessMap.toJSON(t).uuid),void 0!==this.attenuationDistance&&(n.attenuationDistance=this.attenuationDistance),void 0!==this.attenuationTint&&(n.attenuationTint=this.attenuationTint.getHex()),void 0!==this.size&&(n.size=this.size),null!==this.shadowSide&&(n.shadowSide=this.shadowSide),void 0!==this.sizeAttenuation&&(n.sizeAttenuation=this.sizeAttenuation),1!==this.blending&&(n.blending=this.blending),0!==this.side&&(n.side=this.side),this.vertexColors&&(n.vertexColors=!0),this.opacity<1&&(n.opacity=this.opacity),this.format!==Dx&&(n.format=this.format),!0===this.transparent&&(n.transparent=this.transparent),n.depthFunc=this.depthFunc,n.depthTest=this.depthTest,n.depthWrite=this.depthWrite,n.colorWrite=this.colorWrite,n.stencilWrite=this.stencilWrite,n.stencilWriteMask=this.stencilWriteMask,n.stencilFunc=this.stencilFunc,n.stencilRef=this.stencilRef,n.stencilFuncMask=this.stencilFuncMask,n.stencilFail=this.stencilFail,n.stencilZFail=this.stencilZFail,n.stencilZPass=this.stencilZPass,this.rotation&&0!==this.rotation&&(n.rotation=this.rotation),!0===this.polygonOffset&&(n.polygonOffset=!0),0!==this.polygonOffsetFactor&&(n.polygonOffsetFactor=this.polygonOffsetFactor),0!==this.polygonOffsetUnits&&(n.polygonOffsetUnits=this.polygonOffsetUnits),this.linewidth&&1!==this.linewidth&&(n.linewidth=this.linewidth),void 0!==this.dashSize&&(n.dashSize=this.dashSize),void 0!==this.gapSize&&(n.gapSize=this.gapSize),void 0!==this.scale&&(n.scale=this.scale),!0===this.dithering&&(n.dithering=!0),this.alphaTest>0&&(n.alphaTest=this.alphaTest),!0===this.alphaToCoverage&&(n.alphaToCoverage=this.alphaToCoverage),!0===this.premultipliedAlpha&&(n.premultipliedAlpha=this.premultipliedAlpha),!0===this.wireframe&&(n.wireframe=this.wireframe),this.wireframeLinewidth>1&&(n.wireframeLinewidth=this.wireframeLinewidth),\\\\\\\"round\\\\\\\"!==this.wireframeLinecap&&(n.wireframeLinecap=this.wireframeLinecap),\\\\\\\"round\\\\\\\"!==this.wireframeLinejoin&&(n.wireframeLinejoin=this.wireframeLinejoin),!0===this.flatShading&&(n.flatShading=this.flatShading),!1===this.visible&&(n.visible=!1),!1===this.toneMapped&&(n.toneMapped=!1),\\\\\\\"{}\\\\\\\"!==JSON.stringify(this.userData)&&(n.userData=this.userData),e){const e=i(t.textures),s=i(t.images);e.length>0&&(n.textures=e),s.length>0&&(n.images=s)}return n}clone(){return(new this.constructor).copy(this)}copy(t){this.name=t.name,this.fog=t.fog,this.blending=t.blending,this.side=t.side,this.vertexColors=t.vertexColors,this.opacity=t.opacity,this.format=t.format,this.transparent=t.transparent,this.blendSrc=t.blendSrc,this.blendDst=t.blendDst,this.blendEquation=t.blendEquation,this.blendSrcAlpha=t.blendSrcAlpha,this.blendDstAlpha=t.blendDstAlpha,this.blendEquationAlpha=t.blendEquationAlpha,this.depthFunc=t.depthFunc,this.depthTest=t.depthTest,this.depthWrite=t.depthWrite,this.stencilWriteMask=t.stencilWriteMask,this.stencilFunc=t.stencilFunc,this.stencilRef=t.stencilRef,this.stencilFuncMask=t.stencilFuncMask,this.stencilFail=t.stencilFail,this.stencilZFail=t.stencilZFail,this.stencilZPass=t.stencilZPass,this.stencilWrite=t.stencilWrite;const e=t.clippingPlanes;let n=null;if(null!==e){const t=e.length;n=new Array(t);for(let i=0;i!==t;++i)n[i]=e[i].clone()}return this.clippingPlanes=n,this.clipIntersection=t.clipIntersection,this.clipShadows=t.clipShadows,this.shadowSide=t.shadowSide,this.colorWrite=t.colorWrite,this.precision=t.precision,this.polygonOffset=t.polygonOffset,this.polygonOffsetFactor=t.polygonOffsetFactor,this.polygonOffsetUnits=t.polygonOffsetUnits,this.dithering=t.dithering,this.alphaTest=t.alphaTest,this.alphaToCoverage=t.alphaToCoverage,this.premultipliedAlpha=t.premultipliedAlpha,this.visible=t.visible,this.toneMapped=t.toneMapped,this.userData=JSON.parse(JSON.stringify(t.userData)),this}dispose(){this.dispatchEvent({type:\\\\\\\"dispose\\\\\\\"})}set needsUpdate(t){!0===t&&this.version++}}Vw.prototype.isMaterial=!0;const Hw={aliceblue:15792383,antiquewhite:16444375,aqua:65535,aquamarine:8388564,azure:15794175,beige:16119260,bisque:16770244,black:0,blanchedalmond:16772045,blue:255,blueviolet:9055202,brown:10824234,burlywood:14596231,cadetblue:6266528,chartreuse:8388352,chocolate:13789470,coral:16744272,cornflowerblue:6591981,cornsilk:16775388,crimson:14423100,cyan:65535,darkblue:139,darkcyan:35723,darkgoldenrod:12092939,darkgray:11119017,darkgreen:25600,darkgrey:11119017,darkkhaki:12433259,darkmagenta:9109643,darkolivegreen:5597999,darkorange:16747520,darkorchid:10040012,darkred:9109504,darksalmon:15308410,darkseagreen:9419919,darkslateblue:4734347,darkslategray:3100495,darkslategrey:3100495,darkturquoise:52945,darkviolet:9699539,deeppink:16716947,deepskyblue:49151,dimgray:6908265,dimgrey:6908265,dodgerblue:2003199,firebrick:11674146,floralwhite:16775920,forestgreen:2263842,fuchsia:16711935,gainsboro:14474460,ghostwhite:16316671,gold:16766720,goldenrod:14329120,gray:8421504,green:32768,greenyellow:11403055,grey:8421504,honeydew:15794160,hotpink:16738740,indianred:13458524,indigo:4915330,ivory:16777200,khaki:15787660,lavender:15132410,lavenderblush:16773365,lawngreen:8190976,lemonchiffon:16775885,lightblue:11393254,lightcoral:15761536,lightcyan:14745599,lightgoldenrodyellow:16448210,lightgray:13882323,lightgreen:9498256,lightgrey:13882323,lightpink:16758465,lightsalmon:16752762,lightseagreen:2142890,lightskyblue:8900346,lightslategray:7833753,lightslategrey:7833753,lightsteelblue:11584734,lightyellow:16777184,lime:65280,limegreen:3329330,linen:16445670,magenta:16711935,maroon:8388608,mediumaquamarine:6737322,mediumblue:205,mediumorchid:12211667,mediumpurple:9662683,mediumseagreen:3978097,mediumslateblue:8087790,mediumspringgreen:64154,mediumturquoise:4772300,mediumvioletred:13047173,midnightblue:1644912,mintcream:16121850,mistyrose:16770273,moccasin:16770229,navajowhite:16768685,navy:128,oldlace:16643558,olive:8421376,olivedrab:7048739,orange:16753920,orangered:16729344,orchid:14315734,palegoldenrod:15657130,palegreen:10025880,paleturquoise:11529966,palevioletred:14381203,papayawhip:16773077,peachpuff:16767673,peru:13468991,pink:16761035,plum:14524637,powderblue:11591910,purple:8388736,rebeccapurple:6697881,red:16711680,rosybrown:12357519,royalblue:4286945,saddlebrown:9127187,salmon:16416882,sandybrown:16032864,seagreen:3050327,seashell:16774638,sienna:10506797,silver:12632256,skyblue:8900331,slateblue:6970061,slategray:7372944,slategrey:7372944,snow:16775930,springgreen:65407,steelblue:4620980,tan:13808780,teal:32896,thistle:14204888,tomato:16737095,turquoise:4251856,violet:15631086,wheat:16113331,white:16777215,whitesmoke:16119285,yellow:16776960,yellowgreen:10145074},jw={h:0,s:0,l:0},Ww={h:0,s:0,l:0};function qw(t,e,n){return n<0&&(n+=1),n>1&&(n-=1),n<1/6?t+6*(e-t)*n:n<.5?e:n<2/3?t+6*(e-t)*(2/3-n):t}function Xw(t){return t<.04045?.0773993808*t:Math.pow(.9478672986*t+.0521327014,2.4)}function Yw(t){return t<.0031308?12.92*t:1.055*Math.pow(t,.41666)-.055}class $w{constructor(t,e,n){return void 0===e&&void 0===n?this.set(t):this.setRGB(t,e,n)}set(t){return t&&t.isColor?this.copy(t):\\\\\\\"number\\\\\\\"==typeof t?this.setHex(t):\\\\\\\"string\\\\\\\"==typeof t&&this.setStyle(t),this}setScalar(t){return this.r=t,this.g=t,this.b=t,this}setHex(t){return t=Math.floor(t),this.r=(t>>16&255)/255,this.g=(t>>8&255)/255,this.b=(255&t)/255,this}setRGB(t,e,n){return this.r=t,this.g=e,this.b=n,this}setHSL(t,e,n){if(t=lb(t,1),e=ab(e,0,1),n=ab(n,0,1),0===e)this.r=this.g=this.b=n;else{const i=n<=.5?n*(1+e):n+e-n*e,s=2*n-i;this.r=qw(s,i,t+1/3),this.g=qw(s,i,t),this.b=qw(s,i,t-1/3)}return this}setStyle(t){function e(e){void 0!==e&&parseFloat(e)<1&&console.warn(\\\\\\\"THREE.Color: Alpha component of \\\\\\\"+t+\\\\\\\" will be ignored.\\\\\\\")}let n;if(n=/^((?:rgb|hsl)a?)\\\\(([^\\\\)]*)\\\\)/.exec(t)){let t;const i=n[1],s=n[2];switch(i){case\\\\\\\"rgb\\\\\\\":case\\\\\\\"rgba\\\\\\\":if(t=/^\\\\s*(\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(s))return this.r=Math.min(255,parseInt(t[1],10))/255,this.g=Math.min(255,parseInt(t[2],10))/255,this.b=Math.min(255,parseInt(t[3],10))/255,e(t[4]),this;if(t=/^\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(s))return this.r=Math.min(100,parseInt(t[1],10))/100,this.g=Math.min(100,parseInt(t[2],10))/100,this.b=Math.min(100,parseInt(t[3],10))/100,e(t[4]),this;break;case\\\\\\\"hsl\\\\\\\":case\\\\\\\"hsla\\\\\\\":if(t=/^\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(s)){const n=parseFloat(t[1])/360,i=parseInt(t[2],10)/100,s=parseInt(t[3],10)/100;return e(t[4]),this.setHSL(n,i,s)}}}else if(n=/^\\\\#([A-Fa-f\\\\d]+)$/.exec(t)){const t=n[1],e=t.length;if(3===e)return this.r=parseInt(t.charAt(0)+t.charAt(0),16)/255,this.g=parseInt(t.charAt(1)+t.charAt(1),16)/255,this.b=parseInt(t.charAt(2)+t.charAt(2),16)/255,this;if(6===e)return this.r=parseInt(t.charAt(0)+t.charAt(1),16)/255,this.g=parseInt(t.charAt(2)+t.charAt(3),16)/255,this.b=parseInt(t.charAt(4)+t.charAt(5),16)/255,this}return t&&t.length>0?this.setColorName(t):this}setColorName(t){const e=Hw[t.toLowerCase()];return void 0!==e?this.setHex(e):console.warn(\\\\\\\"THREE.Color: Unknown color \\\\\\\"+t),this}clone(){return new this.constructor(this.r,this.g,this.b)}copy(t){return this.r=t.r,this.g=t.g,this.b=t.b,this}copyGammaToLinear(t,e=2){return this.r=Math.pow(t.r,e),this.g=Math.pow(t.g,e),this.b=Math.pow(t.b,e),this}copyLinearToGamma(t,e=2){const n=e>0?1/e:1;return this.r=Math.pow(t.r,n),this.g=Math.pow(t.g,n),this.b=Math.pow(t.b,n),this}convertGammaToLinear(t){return this.copyGammaToLinear(this,t),this}convertLinearToGamma(t){return this.copyLinearToGamma(this,t),this}copySRGBToLinear(t){return this.r=Xw(t.r),this.g=Xw(t.g),this.b=Xw(t.b),this}copyLinearToSRGB(t){return this.r=Yw(t.r),this.g=Yw(t.g),this.b=Yw(t.b),this}convertSRGBToLinear(){return this.copySRGBToLinear(this),this}convertLinearToSRGB(){return this.copyLinearToSRGB(this),this}getHex(){return 255*this.r<<16^255*this.g<<8^255*this.b<<0}getHexString(){return(\\\\\\\"000000\\\\\\\"+this.getHex().toString(16)).slice(-6)}getHSL(t){const e=this.r,n=this.g,i=this.b,s=Math.max(e,n,i),r=Math.min(e,n,i);let o,a;const l=(r+s)/2;if(r===s)o=0,a=0;else{const t=s-r;switch(a=l<=.5?t/(s+r):t/(2-s-r),s){case e:o=(n-i)/t+(n65535?eT:tT)(t,1):this.index=t,this}getAttribute(t){return this.attributes[t]}setAttribute(t,e){return this.attributes[t]=e,this}deleteAttribute(t){return delete this.attributes[t],this}hasAttribute(t){return void 0!==this.attributes[t]}addGroup(t,e,n=0){this.groups.push({start:t,count:e,materialIndex:n})}clearGroups(){this.groups=[]}setDrawRange(t,e){this.drawRange.start=t,this.drawRange.count=e}applyMatrix4(t){const e=this.attributes.position;void 0!==e&&(e.applyMatrix4(t),e.needsUpdate=!0);const n=this.attributes.normal;if(void 0!==n){const e=(new mb).getNormalMatrix(t);n.applyNormalMatrix(e),n.needsUpdate=!0}const i=this.attributes.tangent;return void 0!==i&&(i.transformDirection(t),i.needsUpdate=!0),null!==this.boundingBox&&this.computeBoundingBox(),null!==this.boundingSphere&&this.computeBoundingSphere(),this}applyQuaternion(t){return sT.makeRotationFromQuaternion(t),this.applyMatrix4(sT),this}rotateX(t){return sT.makeRotationX(t),this.applyMatrix4(sT),this}rotateY(t){return sT.makeRotationY(t),this.applyMatrix4(sT),this}rotateZ(t){return sT.makeRotationZ(t),this.applyMatrix4(sT),this}translate(t,e,n){return sT.makeTranslation(t,e,n),this.applyMatrix4(sT),this}scale(t,e,n){return sT.makeScale(t,e,n),this.applyMatrix4(sT),this}lookAt(t){return rT.lookAt(t),rT.updateMatrix(),this.applyMatrix4(rT.matrix),this}center(){return this.computeBoundingBox(),this.boundingBox.getCenter(oT).negate(),this.translate(oT.x,oT.y,oT.z),this}setFromPoints(t){const e=[];for(let n=0,i=t.length;n0&&(t.userData=this.userData),void 0!==this.parameters){const e=this.parameters;for(const n in e)void 0!==e[n]&&(t[n]=e[n]);return t}t.data={attributes:{}};const e=this.index;null!==e&&(t.data.index={type:e.array.constructor.name,array:Array.prototype.slice.call(e.array)});const n=this.attributes;for(const e in n){const i=n[e];t.data.attributes[e]=i.toJSON(t.data)}const i={};let s=!1;for(const e in this.morphAttributes){const n=this.morphAttributes[e],r=[];for(let e=0,i=n.length;e0&&(i[e]=r,s=!0)}s&&(t.data.morphAttributes=i,t.data.morphTargetsRelative=this.morphTargetsRelative);const r=this.groups;r.length>0&&(t.data.groups=JSON.parse(JSON.stringify(r)));const o=this.boundingSphere;return null!==o&&(t.data.boundingSphere={center:o.center.toArray(),radius:o.radius}),t}clone(){return(new this.constructor).copy(this)}copy(t){this.index=null,this.attributes={},this.morphAttributes={},this.groups=[],this.boundingBox=null,this.boundingSphere=null;const e={};this.name=t.name;const n=t.index;null!==n&&this.setIndex(n.clone(e));const i=t.attributes;for(const t in i){const n=i[t];this.setAttribute(t,n.clone(e))}const s=t.morphAttributes;for(const t in s){const n=[],i=s[t];for(let t=0,s=i.length;t0){const t=e[n[0]];if(void 0!==t){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let e=0,n=t.length;e0&&console.error(\\\\\\\"THREE.Mesh.updateMorphTargets() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}}raycast(t,e){const n=this.geometry,i=this.material,s=this.matrixWorld;if(void 0===i)return;if(null===n.boundingSphere&&n.computeBoundingSphere(),pT.copy(n.boundingSphere),pT.applyMatrix4(s),!1===t.ray.intersectsSphere(pT))return;if(uT.copy(s).invert(),dT.copy(t.ray).applyMatrix4(uT),null!==n.boundingBox&&!1===dT.intersectsBox(n.boundingBox))return;let r;if(n.isBufferGeometry){const s=n.index,o=n.attributes.position,a=n.morphAttributes.position,l=n.morphTargetsRelative,c=n.attributes.uv,h=n.attributes.uv2,u=n.groups,d=n.drawRange;if(null!==s)if(Array.isArray(i))for(let n=0,p=u.length;nn.far?null:{distance:c,point:ST.clone(),object:t}}(t,e,n,i,_T,mT,fT,ET);if(p){a&&(TT.fromBufferAttribute(a,c),AT.fromBufferAttribute(a,h),MT.fromBufferAttribute(a,u),p.uv=Uw.getUV(ET,_T,mT,fT,TT,AT,MT,new _b)),l&&(TT.fromBufferAttribute(l,c),AT.fromBufferAttribute(l,h),MT.fromBufferAttribute(l,u),p.uv2=Uw.getUV(ET,_T,mT,fT,TT,AT,MT,new _b));const t={a:c,b:h,c:u,normal:new Sb,materialIndex:0};Uw.getNormal(_T,mT,fT,t.normal),p.face=t}return p}CT.prototype.isMesh=!0;class LT extends hT{constructor(t=1,e=1,n=1,i=1,s=1,r=1){super(),this.type=\\\\\\\"BoxGeometry\\\\\\\",this.parameters={width:t,height:e,depth:n,widthSegments:i,heightSegments:s,depthSegments:r};const o=this;i=Math.floor(i),s=Math.floor(s),r=Math.floor(r);const a=[],l=[],c=[],h=[];let u=0,d=0;function p(t,e,n,i,s,r,p,_,m,f,g){const v=r/m,y=p/f,x=r/2,b=p/2,w=_/2,T=m+1,A=f+1;let M=0,E=0;const S=new Sb;for(let r=0;r0?1:-1,c.push(S.x,S.y,S.z),h.push(a/m),h.push(1-r/f),M+=1}}for(let t=0;t0&&(e.defines=this.defines),e.vertexShader=this.vertexShader,e.fragmentShader=this.fragmentShader;const n={};for(const t in this.extensions)!0===this.extensions[t]&&(n[t]=!0);return Object.keys(n).length>0&&(e.extensions=n),e}}IT.prototype.isShaderMaterial=!0;class FT extends Nw{constructor(){super(),this.type=\\\\\\\"Camera\\\\\\\",this.matrixWorldInverse=new sw,this.projectionMatrix=new sw,this.projectionMatrixInverse=new sw}copy(t,e){return super.copy(t,e),this.matrixWorldInverse.copy(t.matrixWorldInverse),this.projectionMatrix.copy(t.projectionMatrix),this.projectionMatrixInverse.copy(t.projectionMatrixInverse),this}getWorldDirection(t){this.updateWorldMatrix(!0,!1);const e=this.matrixWorld.elements;return t.set(-e[8],-e[9],-e[10]).normalize()}updateMatrixWorld(t){super.updateMatrixWorld(t),this.matrixWorldInverse.copy(this.matrixWorld).invert()}updateWorldMatrix(t,e){super.updateWorldMatrix(t,e),this.matrixWorldInverse.copy(this.matrixWorld).invert()}clone(){return(new this.constructor).copy(this)}}FT.prototype.isCamera=!0;class DT extends FT{constructor(t=50,e=1,n=.1,i=2e3){super(),this.type=\\\\\\\"PerspectiveCamera\\\\\\\",this.fov=t,this.zoom=1,this.near=n,this.far=i,this.focus=10,this.aspect=e,this.view=null,this.filmGauge=35,this.filmOffset=0,this.updateProjectionMatrix()}copy(t,e){return super.copy(t,e),this.fov=t.fov,this.zoom=t.zoom,this.near=t.near,this.far=t.far,this.focus=t.focus,this.aspect=t.aspect,this.view=null===t.view?null:Object.assign({},t.view),this.filmGauge=t.filmGauge,this.filmOffset=t.filmOffset,this}setFocalLength(t){const e=.5*this.getFilmHeight()/t;this.fov=2*ib*Math.atan(e),this.updateProjectionMatrix()}getFocalLength(){const t=Math.tan(.5*nb*this.fov);return.5*this.getFilmHeight()/t}getEffectiveFOV(){return 2*ib*Math.atan(Math.tan(.5*nb*this.fov)/this.zoom)}getFilmWidth(){return this.filmGauge*Math.min(this.aspect,1)}getFilmHeight(){return this.filmGauge/Math.max(this.aspect,1)}setViewOffset(t,e,n,i,s,r){this.aspect=t/e,null===this.view&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=t,this.view.fullHeight=e,this.view.offsetX=n,this.view.offsetY=i,this.view.width=s,this.view.height=r,this.updateProjectionMatrix()}clearViewOffset(){null!==this.view&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){const t=this.near;let e=t*Math.tan(.5*nb*this.fov)/this.zoom,n=2*e,i=this.aspect*n,s=-.5*i;const r=this.view;if(null!==this.view&&this.view.enabled){const t=r.fullWidth,o=r.fullHeight;s+=r.offsetX*i/t,e-=r.offsetY*n/o,i*=r.width/t,n*=r.height/o}const o=this.filmOffset;0!==o&&(s+=t*o/this.getFilmWidth()),this.projectionMatrix.makePerspective(s,s+i,e,e-n,t,this.far),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(t){const e=super.toJSON(t);return e.object.fov=this.fov,e.object.zoom=this.zoom,e.object.near=this.near,e.object.far=this.far,e.object.focus=this.focus,e.object.aspect=this.aspect,null!==this.view&&(e.object.view=Object.assign({},this.view)),e.object.filmGauge=this.filmGauge,e.object.filmOffset=this.filmOffset,e}}DT.prototype.isPerspectiveCamera=!0;const BT=90;class zT extends Nw{constructor(t,e,n){if(super(),this.type=\\\\\\\"CubeCamera\\\\\\\",!0!==n.isWebGLCubeRenderTarget)return void console.error(\\\\\\\"THREE.CubeCamera: The constructor now expects an instance of WebGLCubeRenderTarget as third parameter.\\\\\\\");this.renderTarget=n;const i=new DT(BT,1,t,e);i.layers=this.layers,i.up.set(0,-1,0),i.lookAt(new Sb(1,0,0)),this.add(i);const s=new DT(BT,1,t,e);s.layers=this.layers,s.up.set(0,-1,0),s.lookAt(new Sb(-1,0,0)),this.add(s);const r=new DT(BT,1,t,e);r.layers=this.layers,r.up.set(0,0,1),r.lookAt(new Sb(0,1,0)),this.add(r);const o=new DT(BT,1,t,e);o.layers=this.layers,o.up.set(0,0,-1),o.lookAt(new Sb(0,-1,0)),this.add(o);const a=new DT(BT,1,t,e);a.layers=this.layers,a.up.set(0,-1,0),a.lookAt(new Sb(0,0,1)),this.add(a);const l=new DT(BT,1,t,e);l.layers=this.layers,l.up.set(0,-1,0),l.lookAt(new Sb(0,0,-1)),this.add(l)}update(t,e){null===this.parent&&this.updateMatrixWorld();const n=this.renderTarget,[i,s,r,o,a,l]=this.children,c=t.xr.enabled,h=t.getRenderTarget();t.xr.enabled=!1;const u=n.texture.generateMipmaps;n.texture.generateMipmaps=!1,t.setRenderTarget(n,0),t.render(e,i),t.setRenderTarget(n,1),t.render(e,s),t.setRenderTarget(n,2),t.render(e,r),t.setRenderTarget(n,3),t.render(e,o),t.setRenderTarget(n,4),t.render(e,a),n.texture.generateMipmaps=u,t.setRenderTarget(n,5),t.render(e,l),t.setRenderTarget(h),t.xr.enabled=c}}class kT extends bb{constructor(t,e,n,i,s,r,o,a,l,c){super(t=void 0!==t?t:[],e=void 0!==e?e:_x,n,i,s,r,o,a,l,c),this.flipY=!1}get images(){return this.image}set images(t){this.image=t}}kT.prototype.isCubeTexture=!0;class UT extends Ab{constructor(t,e,n){Number.isInteger(e)&&(console.warn(\\\\\\\"THREE.WebGLCubeRenderTarget: constructor signature is now WebGLCubeRenderTarget( size, options )\\\\\\\"),e=n),super(t,t,e),e=e||{},this.texture=new kT(void 0,e.mapping,e.wrapS,e.wrapT,e.magFilter,e.minFilter,e.format,e.type,e.anisotropy,e.encoding),this.texture.isRenderTargetTexture=!0,this.texture.generateMipmaps=void 0!==e.generateMipmaps&&e.generateMipmaps,this.texture.minFilter=void 0!==e.minFilter?e.minFilter:Ex,this.texture._needsFlipEnvMap=!1}fromEquirectangularTexture(t,e){this.texture.type=e.type,this.texture.format=Dx,this.texture.encoding=e.encoding,this.texture.generateMipmaps=e.generateMipmaps,this.texture.minFilter=e.minFilter,this.texture.magFilter=e.magFilter;const n={uniforms:{tEquirect:{value:null}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvarying vec3 vWorldDirection;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvWorldDirection = transformDirection( position, modelMatrix );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t#include \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D tEquirect;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvarying vec3 vWorldDirection;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec3 direction = normalize( vWorldDirection );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec2 sampleUV = equirectUv( direction );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor = texture2D( tEquirect, sampleUV );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\\\\"},i=new LT(5,5,5),s=new IT({name:\\\\\\\"CubemapFromEquirect\\\\\\\",uniforms:OT(n.uniforms),vertexShader:n.vertexShader,fragmentShader:n.fragmentShader,side:1,blending:0});s.uniforms.tEquirect.value=e;const r=new CT(i,s),o=e.minFilter;e.minFilter===Cx&&(e.minFilter=Ex);return new zT(1,10,this).update(t,r),e.minFilter=o,r.geometry.dispose(),r.material.dispose(),this}clear(t,e,n,i){const s=t.getRenderTarget();for(let s=0;s<6;s++)t.setRenderTarget(this,s),t.clear(e,n,i);t.setRenderTarget(s)}}UT.prototype.isWebGLCubeRenderTarget=!0;const GT=new Sb,VT=new Sb,HT=new mb;class jT{constructor(t=new Sb(1,0,0),e=0){this.normal=t,this.constant=e}set(t,e){return this.normal.copy(t),this.constant=e,this}setComponents(t,e,n,i){return this.normal.set(t,e,n),this.constant=i,this}setFromNormalAndCoplanarPoint(t,e){return this.normal.copy(t),this.constant=-e.dot(this.normal),this}setFromCoplanarPoints(t,e,n){const i=GT.subVectors(n,e).cross(VT.subVectors(t,e)).normalize();return this.setFromNormalAndCoplanarPoint(i,t),this}copy(t){return this.normal.copy(t.normal),this.constant=t.constant,this}normalize(){const t=1/this.normal.length();return this.normal.multiplyScalar(t),this.constant*=t,this}negate(){return this.constant*=-1,this.normal.negate(),this}distanceToPoint(t){return this.normal.dot(t)+this.constant}distanceToSphere(t){return this.distanceToPoint(t.center)-t.radius}projectPoint(t,e){return e.copy(this.normal).multiplyScalar(-this.distanceToPoint(t)).add(t)}intersectLine(t,e){const n=t.delta(GT),i=this.normal.dot(n);if(0===i)return 0===this.distanceToPoint(t.start)?e.copy(t.start):null;const s=-(t.start.dot(this.normal)+this.constant)/i;return s<0||s>1?null:e.copy(n).multiplyScalar(s).add(t.start)}intersectsLine(t){const e=this.distanceToPoint(t.start),n=this.distanceToPoint(t.end);return e<0&&n>0||n<0&&e>0}intersectsBox(t){return t.intersectsPlane(this)}intersectsSphere(t){return t.intersectsPlane(this)}coplanarPoint(t){return t.copy(this.normal).multiplyScalar(-this.constant)}applyMatrix4(t,e){const n=e||HT.getNormalMatrix(t),i=this.coplanarPoint(GT).applyMatrix4(t),s=this.normal.applyMatrix3(n).normalize();return this.constant=-i.dot(s),this}translate(t){return this.constant-=t.dot(this.normal),this}equals(t){return t.normal.equals(this.normal)&&t.constant===this.constant}clone(){return(new this.constructor).copy(this)}}jT.prototype.isPlane=!0;const WT=new $b,qT=new Sb;class XT{constructor(t=new jT,e=new jT,n=new jT,i=new jT,s=new jT,r=new jT){this.planes=[t,e,n,i,s,r]}set(t,e,n,i,s,r){const o=this.planes;return o[0].copy(t),o[1].copy(e),o[2].copy(n),o[3].copy(i),o[4].copy(s),o[5].copy(r),this}copy(t){const e=this.planes;for(let n=0;n<6;n++)e[n].copy(t.planes[n]);return this}setFromProjectionMatrix(t){const e=this.planes,n=t.elements,i=n[0],s=n[1],r=n[2],o=n[3],a=n[4],l=n[5],c=n[6],h=n[7],u=n[8],d=n[9],p=n[10],_=n[11],m=n[12],f=n[13],g=n[14],v=n[15];return e[0].setComponents(o-i,h-a,_-u,v-m).normalize(),e[1].setComponents(o+i,h+a,_+u,v+m).normalize(),e[2].setComponents(o+s,h+l,_+d,v+f).normalize(),e[3].setComponents(o-s,h-l,_-d,v-f).normalize(),e[4].setComponents(o-r,h-c,_-p,v-g).normalize(),e[5].setComponents(o+r,h+c,_+p,v+g).normalize(),this}intersectsObject(t){const e=t.geometry;return null===e.boundingSphere&&e.computeBoundingSphere(),WT.copy(e.boundingSphere).applyMatrix4(t.matrixWorld),this.intersectsSphere(WT)}intersectsSprite(t){return WT.center.set(0,0,0),WT.radius=.7071067811865476,WT.applyMatrix4(t.matrixWorld),this.intersectsSphere(WT)}intersectsSphere(t){const e=this.planes,n=t.center,i=-t.radius;for(let t=0;t<6;t++){if(e[t].distanceToPoint(n)0?t.max.x:t.min.x,qT.y=i.normal.y>0?t.max.y:t.min.y,qT.z=i.normal.z>0?t.max.z:t.min.z,i.distanceToPoint(qT)<0)return!1}return!0}containsPoint(t){const e=this.planes;for(let n=0;n<6;n++)if(e[n].distanceToPoint(t)<0)return!1;return!0}clone(){return(new this.constructor).copy(this)}}function YT(){let t=null,e=!1,n=null,i=null;function s(e,r){n(e,r),i=t.requestAnimationFrame(s)}return{start:function(){!0!==e&&null!==n&&(i=t.requestAnimationFrame(s),e=!0)},stop:function(){t.cancelAnimationFrame(i),e=!1},setAnimationLoop:function(t){n=t},setContext:function(e){t=e}}}function $T(t,e){const n=e.isWebGL2,i=new WeakMap;return{get:function(t){return t.isInterleavedBufferAttribute&&(t=t.data),i.get(t)},remove:function(e){e.isInterleavedBufferAttribute&&(e=e.data);const n=i.get(e);n&&(t.deleteBuffer(n.buffer),i.delete(e))},update:function(e,s){if(e.isGLBufferAttribute){const t=i.get(e);return void((!t||t.version 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;\\\\n\\\\treturn cross( v1, v2 ) * theta_sintheta;\\\\n}\\\\nvec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {\\\\n\\\\tvec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];\\\\n\\\\tvec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];\\\\n\\\\tvec3 lightNormal = cross( v1, v2 );\\\\n\\\\tif( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );\\\\n\\\\tvec3 T1, T2;\\\\n\\\\tT1 = normalize( V - N * dot( V, N ) );\\\\n\\\\tT2 = - cross( N, T1 );\\\\n\\\\tmat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );\\\\n\\\\tvec3 coords[ 4 ];\\\\n\\\\tcoords[ 0 ] = mat * ( rectCoords[ 0 ] - P );\\\\n\\\\tcoords[ 1 ] = mat * ( rectCoords[ 1 ] - P );\\\\n\\\\tcoords[ 2 ] = mat * ( rectCoords[ 2 ] - P );\\\\n\\\\tcoords[ 3 ] = mat * ( rectCoords[ 3 ] - P );\\\\n\\\\tcoords[ 0 ] = normalize( coords[ 0 ] );\\\\n\\\\tcoords[ 1 ] = normalize( coords[ 1 ] );\\\\n\\\\tcoords[ 2 ] = normalize( coords[ 2 ] );\\\\n\\\\tcoords[ 3 ] = normalize( coords[ 3 ] );\\\\n\\\\tvec3 vectorFormFactor = vec3( 0.0 );\\\\n\\\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );\\\\n\\\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );\\\\n\\\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );\\\\n\\\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );\\\\n\\\\tfloat result = LTC_ClippedSphereFormFactor( vectorFormFactor );\\\\n\\\\treturn vec3( result );\\\\n}\\\\nfloat G_BlinnPhong_Implicit( ) {\\\\n\\\\treturn 0.25;\\\\n}\\\\nfloat D_BlinnPhong( const in float shininess, const in float dotNH ) {\\\\n\\\\treturn RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );\\\\n}\\\\nvec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) {\\\\n\\\\tvec3 halfDir = normalize( lightDir + viewDir );\\\\n\\\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\\\n\\\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\\\n\\\\tvec3 F = F_Schlick( specularColor, 1.0, dotVH );\\\\n\\\\tfloat G = G_BlinnPhong_Implicit( );\\\\n\\\\tfloat D = D_BlinnPhong( shininess, dotNH );\\\\n\\\\treturn F * ( G * D );\\\\n}\\\\n#if defined( USE_SHEEN )\\\\nfloat D_Charlie( float roughness, float dotNH ) {\\\\n\\\\tfloat alpha = pow2( roughness );\\\\n\\\\tfloat invAlpha = 1.0 / alpha;\\\\n\\\\tfloat cos2h = dotNH * dotNH;\\\\n\\\\tfloat sin2h = max( 1.0 - cos2h, 0.0078125 );\\\\n\\\\treturn ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI );\\\\n}\\\\nfloat V_Neubelt( float dotNV, float dotNL ) {\\\\n\\\\treturn saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) );\\\\n}\\\\nvec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenTint, const in float sheenRoughness ) {\\\\n\\\\tvec3 halfDir = normalize( lightDir + viewDir );\\\\n\\\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\\\n\\\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\\\n\\\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\\\n\\\\tfloat D = D_Charlie( sheenRoughness, dotNH );\\\\n\\\\tfloat V = V_Neubelt( dotNV, dotNL );\\\\n\\\\treturn sheenTint * ( D * V );\\\\n}\\\\n#endif\\\\\\\",bumpmap_pars_fragment:\\\\\\\"#ifdef USE_BUMPMAP\\\\n\\\\tuniform sampler2D bumpMap;\\\\n\\\\tuniform float bumpScale;\\\\n\\\\tvec2 dHdxy_fwd() {\\\\n\\\\t\\\\tvec2 dSTdx = dFdx( vUv );\\\\n\\\\t\\\\tvec2 dSTdy = dFdy( vUv );\\\\n\\\\t\\\\tfloat Hll = bumpScale * texture2D( bumpMap, vUv ).x;\\\\n\\\\t\\\\tfloat dBx = bumpScale * texture2D( bumpMap, vUv + dSTdx ).x - Hll;\\\\n\\\\t\\\\tfloat dBy = bumpScale * texture2D( bumpMap, vUv + dSTdy ).x - Hll;\\\\n\\\\t\\\\treturn vec2( dBx, dBy );\\\\n\\\\t}\\\\n\\\\tvec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) {\\\\n\\\\t\\\\tvec3 vSigmaX = vec3( dFdx( surf_pos.x ), dFdx( surf_pos.y ), dFdx( surf_pos.z ) );\\\\n\\\\t\\\\tvec3 vSigmaY = vec3( dFdy( surf_pos.x ), dFdy( surf_pos.y ), dFdy( surf_pos.z ) );\\\\n\\\\t\\\\tvec3 vN = surf_norm;\\\\n\\\\t\\\\tvec3 R1 = cross( vSigmaY, vN );\\\\n\\\\t\\\\tvec3 R2 = cross( vN, vSigmaX );\\\\n\\\\t\\\\tfloat fDet = dot( vSigmaX, R1 ) * faceDirection;\\\\n\\\\t\\\\tvec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );\\\\n\\\\t\\\\treturn normalize( abs( fDet ) * surf_norm - vGrad );\\\\n\\\\t}\\\\n#endif\\\\\\\",clipping_planes_fragment:\\\\\\\"#if NUM_CLIPPING_PLANES > 0\\\\n\\\\tvec4 plane;\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {\\\\n\\\\t\\\\tplane = clippingPlanes[ i ];\\\\n\\\\t\\\\tif ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\t#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES\\\\n\\\\t\\\\tbool clipped = true;\\\\n\\\\t\\\\t#pragma unroll_loop_start\\\\n\\\\t\\\\tfor ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {\\\\n\\\\t\\\\t\\\\tplane = clippingPlanes[ i ];\\\\n\\\\t\\\\t\\\\tclipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\t#pragma unroll_loop_end\\\\n\\\\t\\\\tif ( clipped ) discard;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",clipping_planes_pars_fragment:\\\\\\\"#if NUM_CLIPPING_PLANES > 0\\\\n\\\\tvarying vec3 vClipPosition;\\\\n\\\\tuniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];\\\\n#endif\\\\\\\",clipping_planes_pars_vertex:\\\\\\\"#if NUM_CLIPPING_PLANES > 0\\\\n\\\\tvarying vec3 vClipPosition;\\\\n#endif\\\\\\\",clipping_planes_vertex:\\\\\\\"#if NUM_CLIPPING_PLANES > 0\\\\n\\\\tvClipPosition = - mvPosition.xyz;\\\\n#endif\\\\\\\",color_fragment:\\\\\\\"#if defined( USE_COLOR_ALPHA )\\\\n\\\\tdiffuseColor *= vColor;\\\\n#elif defined( USE_COLOR )\\\\n\\\\tdiffuseColor.rgb *= vColor;\\\\n#endif\\\\\\\",color_pars_fragment:\\\\\\\"#if defined( USE_COLOR_ALPHA )\\\\n\\\\tvarying vec4 vColor;\\\\n#elif defined( USE_COLOR )\\\\n\\\\tvarying vec3 vColor;\\\\n#endif\\\\\\\",color_pars_vertex:\\\\\\\"#if defined( USE_COLOR_ALPHA )\\\\n\\\\tvarying vec4 vColor;\\\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\\\n\\\\tvarying vec3 vColor;\\\\n#endif\\\\\\\",color_vertex:\\\\\\\"#if defined( USE_COLOR_ALPHA )\\\\n\\\\tvColor = vec4( 1.0 );\\\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\\\n\\\\tvColor = vec3( 1.0 );\\\\n#endif\\\\n#ifdef USE_COLOR\\\\n\\\\tvColor *= color;\\\\n#endif\\\\n#ifdef USE_INSTANCING_COLOR\\\\n\\\\tvColor.xyz *= instanceColor.xyz;\\\\n#endif\\\\\\\",common:\\\\\\\"#define PI 3.141592653589793\\\\n#define PI2 6.283185307179586\\\\n#define PI_HALF 1.5707963267948966\\\\n#define RECIPROCAL_PI 0.3183098861837907\\\\n#define RECIPROCAL_PI2 0.15915494309189535\\\\n#define EPSILON 1e-6\\\\n#ifndef saturate\\\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\\\n#endif\\\\n#define whiteComplement( a ) ( 1.0 - saturate( a ) )\\\\nfloat pow2( const in float x ) { return x*x; }\\\\nfloat pow3( const in float x ) { return x*x*x; }\\\\nfloat pow4( const in float x ) { float x2 = x*x; return x2*x2; }\\\\nfloat max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); }\\\\nfloat average( const in vec3 color ) { return dot( color, vec3( 0.3333 ) ); }\\\\nhighp float rand( const in vec2 uv ) {\\\\n\\\\tconst highp float a = 12.9898, b = 78.233, c = 43758.5453;\\\\n\\\\thighp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\\\\n\\\\treturn fract( sin( sn ) * c );\\\\n}\\\\n#ifdef HIGH_PRECISION\\\\n\\\\tfloat precisionSafeLength( vec3 v ) { return length( v ); }\\\\n#else\\\\n\\\\tfloat precisionSafeLength( vec3 v ) {\\\\n\\\\t\\\\tfloat maxComponent = max3( abs( v ) );\\\\n\\\\t\\\\treturn length( v / maxComponent ) * maxComponent;\\\\n\\\\t}\\\\n#endif\\\\nstruct IncidentLight {\\\\n\\\\tvec3 color;\\\\n\\\\tvec3 direction;\\\\n\\\\tbool visible;\\\\n};\\\\nstruct ReflectedLight {\\\\n\\\\tvec3 directDiffuse;\\\\n\\\\tvec3 directSpecular;\\\\n\\\\tvec3 indirectDiffuse;\\\\n\\\\tvec3 indirectSpecular;\\\\n};\\\\nstruct GeometricContext {\\\\n\\\\tvec3 position;\\\\n\\\\tvec3 normal;\\\\n\\\\tvec3 viewDir;\\\\n#ifdef USE_CLEARCOAT\\\\n\\\\tvec3 clearcoatNormal;\\\\n#endif\\\\n};\\\\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\\\n\\\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\\\n}\\\\nvec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\\\\n\\\\treturn normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\\\\n}\\\\nmat3 transposeMat3( const in mat3 m ) {\\\\n\\\\tmat3 tmp;\\\\n\\\\ttmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\\\\n\\\\ttmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\\\\n\\\\ttmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\\\\n\\\\treturn tmp;\\\\n}\\\\nfloat linearToRelativeLuminance( const in vec3 color ) {\\\\n\\\\tvec3 weights = vec3( 0.2126, 0.7152, 0.0722 );\\\\n\\\\treturn dot( weights, color.rgb );\\\\n}\\\\nbool isPerspectiveMatrix( mat4 m ) {\\\\n\\\\treturn m[ 2 ][ 3 ] == - 1.0;\\\\n}\\\\nvec2 equirectUv( in vec3 dir ) {\\\\n\\\\tfloat u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;\\\\n\\\\tfloat v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\\\n\\\\treturn vec2( u, v );\\\\n}\\\\\\\",cube_uv_reflection_fragment:\\\\\\\"#ifdef ENVMAP_TYPE_CUBE_UV\\\\n\\\\t#define cubeUV_maxMipLevel 8.0\\\\n\\\\t#define cubeUV_minMipLevel 4.0\\\\n\\\\t#define cubeUV_maxTileSize 256.0\\\\n\\\\t#define cubeUV_minTileSize 16.0\\\\n\\\\tfloat getFace( vec3 direction ) {\\\\n\\\\t\\\\tvec3 absDirection = abs( direction );\\\\n\\\\t\\\\tfloat face = - 1.0;\\\\n\\\\t\\\\tif ( absDirection.x > absDirection.z ) {\\\\n\\\\t\\\\t\\\\tif ( absDirection.x > absDirection.y )\\\\n\\\\t\\\\t\\\\t\\\\tface = direction.x > 0.0 ? 0.0 : 3.0;\\\\n\\\\t\\\\t\\\\telse\\\\n\\\\t\\\\t\\\\t\\\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tif ( absDirection.z > absDirection.y )\\\\n\\\\t\\\\t\\\\t\\\\tface = direction.z > 0.0 ? 2.0 : 5.0;\\\\n\\\\t\\\\t\\\\telse\\\\n\\\\t\\\\t\\\\t\\\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\treturn face;\\\\n\\\\t}\\\\n\\\\tvec2 getUV( vec3 direction, float face ) {\\\\n\\\\t\\\\tvec2 uv;\\\\n\\\\t\\\\tif ( face == 0.0 ) {\\\\n\\\\t\\\\t\\\\tuv = vec2( direction.z, direction.y ) / abs( direction.x );\\\\n\\\\t\\\\t} else if ( face == 1.0 ) {\\\\n\\\\t\\\\t\\\\tuv = vec2( - direction.x, - direction.z ) / abs( direction.y );\\\\n\\\\t\\\\t} else if ( face == 2.0 ) {\\\\n\\\\t\\\\t\\\\tuv = vec2( - direction.x, direction.y ) / abs( direction.z );\\\\n\\\\t\\\\t} else if ( face == 3.0 ) {\\\\n\\\\t\\\\t\\\\tuv = vec2( - direction.z, direction.y ) / abs( direction.x );\\\\n\\\\t\\\\t} else if ( face == 4.0 ) {\\\\n\\\\t\\\\t\\\\tuv = vec2( - direction.x, direction.z ) / abs( direction.y );\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tuv = vec2( direction.x, direction.y ) / abs( direction.z );\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\treturn 0.5 * ( uv + 1.0 );\\\\n\\\\t}\\\\n\\\\tvec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {\\\\n\\\\t\\\\tfloat face = getFace( direction );\\\\n\\\\t\\\\tfloat filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );\\\\n\\\\t\\\\tmipInt = max( mipInt, cubeUV_minMipLevel );\\\\n\\\\t\\\\tfloat faceSize = exp2( mipInt );\\\\n\\\\t\\\\tfloat texelSize = 1.0 / ( 3.0 * cubeUV_maxTileSize );\\\\n\\\\t\\\\tvec2 uv = getUV( direction, face ) * ( faceSize - 1.0 );\\\\n\\\\t\\\\tvec2 f = fract( uv );\\\\n\\\\t\\\\tuv += 0.5 - f;\\\\n\\\\t\\\\tif ( face > 2.0 ) {\\\\n\\\\t\\\\t\\\\tuv.y += faceSize;\\\\n\\\\t\\\\t\\\\tface -= 3.0;\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\tuv.x += face * faceSize;\\\\n\\\\t\\\\tif ( mipInt < cubeUV_maxMipLevel ) {\\\\n\\\\t\\\\t\\\\tuv.y += 2.0 * cubeUV_maxTileSize;\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\tuv.y += filterInt * 2.0 * cubeUV_minTileSize;\\\\n\\\\t\\\\tuv.x += 3.0 * max( 0.0, cubeUV_maxTileSize - 2.0 * faceSize );\\\\n\\\\t\\\\tuv *= texelSize;\\\\n\\\\t\\\\tvec3 tl = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\\\n\\\\t\\\\tuv.x += texelSize;\\\\n\\\\t\\\\tvec3 tr = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\\\n\\\\t\\\\tuv.y += texelSize;\\\\n\\\\t\\\\tvec3 br = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\\\n\\\\t\\\\tuv.x -= texelSize;\\\\n\\\\t\\\\tvec3 bl = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\\\n\\\\t\\\\tvec3 tm = mix( tl, tr, f.x );\\\\n\\\\t\\\\tvec3 bm = mix( bl, br, f.x );\\\\n\\\\t\\\\treturn mix( tm, bm, f.y );\\\\n\\\\t}\\\\n\\\\t#define r0 1.0\\\\n\\\\t#define v0 0.339\\\\n\\\\t#define m0 - 2.0\\\\n\\\\t#define r1 0.8\\\\n\\\\t#define v1 0.276\\\\n\\\\t#define m1 - 1.0\\\\n\\\\t#define r4 0.4\\\\n\\\\t#define v4 0.046\\\\n\\\\t#define m4 2.0\\\\n\\\\t#define r5 0.305\\\\n\\\\t#define v5 0.016\\\\n\\\\t#define m5 3.0\\\\n\\\\t#define r6 0.21\\\\n\\\\t#define v6 0.0038\\\\n\\\\t#define m6 4.0\\\\n\\\\tfloat roughnessToMip( float roughness ) {\\\\n\\\\t\\\\tfloat mip = 0.0;\\\\n\\\\t\\\\tif ( roughness >= r1 ) {\\\\n\\\\t\\\\t\\\\tmip = ( r0 - roughness ) * ( m1 - m0 ) / ( r0 - r1 ) + m0;\\\\n\\\\t\\\\t} else if ( roughness >= r4 ) {\\\\n\\\\t\\\\t\\\\tmip = ( r1 - roughness ) * ( m4 - m1 ) / ( r1 - r4 ) + m1;\\\\n\\\\t\\\\t} else if ( roughness >= r5 ) {\\\\n\\\\t\\\\t\\\\tmip = ( r4 - roughness ) * ( m5 - m4 ) / ( r4 - r5 ) + m4;\\\\n\\\\t\\\\t} else if ( roughness >= r6 ) {\\\\n\\\\t\\\\t\\\\tmip = ( r5 - roughness ) * ( m6 - m5 ) / ( r5 - r6 ) + m5;\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tmip = - 2.0 * log2( 1.16 * roughness );\\\\t\\\\t}\\\\n\\\\t\\\\treturn mip;\\\\n\\\\t}\\\\n\\\\tvec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {\\\\n\\\\t\\\\tfloat mip = clamp( roughnessToMip( roughness ), m0, cubeUV_maxMipLevel );\\\\n\\\\t\\\\tfloat mipF = fract( mip );\\\\n\\\\t\\\\tfloat mipInt = floor( mip );\\\\n\\\\t\\\\tvec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );\\\\n\\\\t\\\\tif ( mipF == 0.0 ) {\\\\n\\\\t\\\\t\\\\treturn vec4( color0, 1.0 );\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tvec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );\\\\n\\\\t\\\\t\\\\treturn vec4( mix( color0, color1, mipF ), 1.0 );\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n#endif\\\\\\\",defaultnormal_vertex:\\\\\\\"vec3 transformedNormal = objectNormal;\\\\n#ifdef USE_INSTANCING\\\\n\\\\tmat3 m = mat3( instanceMatrix );\\\\n\\\\ttransformedNormal /= vec3( dot( m[ 0 ], m[ 0 ] ), dot( m[ 1 ], m[ 1 ] ), dot( m[ 2 ], m[ 2 ] ) );\\\\n\\\\ttransformedNormal = m * transformedNormal;\\\\n#endif\\\\ntransformedNormal = normalMatrix * transformedNormal;\\\\n#ifdef FLIP_SIDED\\\\n\\\\ttransformedNormal = - transformedNormal;\\\\n#endif\\\\n#ifdef USE_TANGENT\\\\n\\\\tvec3 transformedTangent = ( modelViewMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\\\n\\\\t#ifdef FLIP_SIDED\\\\n\\\\t\\\\ttransformedTangent = - transformedTangent;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",displacementmap_pars_vertex:\\\\\\\"#ifdef USE_DISPLACEMENTMAP\\\\n\\\\tuniform sampler2D displacementMap;\\\\n\\\\tuniform float displacementScale;\\\\n\\\\tuniform float displacementBias;\\\\n#endif\\\\\\\",displacementmap_vertex:\\\\\\\"#ifdef USE_DISPLACEMENTMAP\\\\n\\\\ttransformed += normalize( objectNormal ) * ( texture2D( displacementMap, vUv ).x * displacementScale + displacementBias );\\\\n#endif\\\\\\\",emissivemap_fragment:\\\\\\\"#ifdef USE_EMISSIVEMAP\\\\n\\\\tvec4 emissiveColor = texture2D( emissiveMap, vUv );\\\\n\\\\temissiveColor.rgb = emissiveMapTexelToLinear( emissiveColor ).rgb;\\\\n\\\\ttotalEmissiveRadiance *= emissiveColor.rgb;\\\\n#endif\\\\\\\",emissivemap_pars_fragment:\\\\\\\"#ifdef USE_EMISSIVEMAP\\\\n\\\\tuniform sampler2D emissiveMap;\\\\n#endif\\\\\\\",encodings_fragment:\\\\\\\"gl_FragColor = linearToOutputTexel( gl_FragColor );\\\\\\\",encodings_pars_fragment:\\\\\\\"\\\\nvec4 LinearToLinear( in vec4 value ) {\\\\n\\\\treturn value;\\\\n}\\\\nvec4 GammaToLinear( in vec4 value, in float gammaFactor ) {\\\\n\\\\treturn vec4( pow( value.rgb, vec3( gammaFactor ) ), value.a );\\\\n}\\\\nvec4 LinearToGamma( in vec4 value, in float gammaFactor ) {\\\\n\\\\treturn vec4( pow( value.rgb, vec3( 1.0 / gammaFactor ) ), value.a );\\\\n}\\\\nvec4 sRGBToLinear( in vec4 value ) {\\\\n\\\\treturn vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a );\\\\n}\\\\nvec4 LinearTosRGB( in vec4 value ) {\\\\n\\\\treturn vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );\\\\n}\\\\nvec4 RGBEToLinear( in vec4 value ) {\\\\n\\\\treturn vec4( value.rgb * exp2( value.a * 255.0 - 128.0 ), 1.0 );\\\\n}\\\\nvec4 LinearToRGBE( in vec4 value ) {\\\\n\\\\tfloat maxComponent = max( max( value.r, value.g ), value.b );\\\\n\\\\tfloat fExp = clamp( ceil( log2( maxComponent ) ), -128.0, 127.0 );\\\\n\\\\treturn vec4( value.rgb / exp2( fExp ), ( fExp + 128.0 ) / 255.0 );\\\\n}\\\\nvec4 RGBMToLinear( in vec4 value, in float maxRange ) {\\\\n\\\\treturn vec4( value.rgb * value.a * maxRange, 1.0 );\\\\n}\\\\nvec4 LinearToRGBM( in vec4 value, in float maxRange ) {\\\\n\\\\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\\\\n\\\\tfloat M = clamp( maxRGB / maxRange, 0.0, 1.0 );\\\\n\\\\tM = ceil( M * 255.0 ) / 255.0;\\\\n\\\\treturn vec4( value.rgb / ( M * maxRange ), M );\\\\n}\\\\nvec4 RGBDToLinear( in vec4 value, in float maxRange ) {\\\\n\\\\treturn vec4( value.rgb * ( ( maxRange / 255.0 ) / value.a ), 1.0 );\\\\n}\\\\nvec4 LinearToRGBD( in vec4 value, in float maxRange ) {\\\\n\\\\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\\\\n\\\\tfloat D = max( maxRange / maxRGB, 1.0 );\\\\n\\\\tD = clamp( floor( D ) / 255.0, 0.0, 1.0 );\\\\n\\\\treturn vec4( value.rgb * ( D * ( 255.0 / maxRange ) ), D );\\\\n}\\\\nconst mat3 cLogLuvM = mat3( 0.2209, 0.3390, 0.4184, 0.1138, 0.6780, 0.7319, 0.0102, 0.1130, 0.2969 );\\\\nvec4 LinearToLogLuv( in vec4 value ) {\\\\n\\\\tvec3 Xp_Y_XYZp = cLogLuvM * value.rgb;\\\\n\\\\tXp_Y_XYZp = max( Xp_Y_XYZp, vec3( 1e-6, 1e-6, 1e-6 ) );\\\\n\\\\tvec4 vResult;\\\\n\\\\tvResult.xy = Xp_Y_XYZp.xy / Xp_Y_XYZp.z;\\\\n\\\\tfloat Le = 2.0 * log2(Xp_Y_XYZp.y) + 127.0;\\\\n\\\\tvResult.w = fract( Le );\\\\n\\\\tvResult.z = ( Le - ( floor( vResult.w * 255.0 ) ) / 255.0 ) / 255.0;\\\\n\\\\treturn vResult;\\\\n}\\\\nconst mat3 cLogLuvInverseM = mat3( 6.0014, -2.7008, -1.7996, -1.3320, 3.1029, -5.7721, 0.3008, -1.0882, 5.6268 );\\\\nvec4 LogLuvToLinear( in vec4 value ) {\\\\n\\\\tfloat Le = value.z * 255.0 + value.w;\\\\n\\\\tvec3 Xp_Y_XYZp;\\\\n\\\\tXp_Y_XYZp.y = exp2( ( Le - 127.0 ) / 2.0 );\\\\n\\\\tXp_Y_XYZp.z = Xp_Y_XYZp.y / value.y;\\\\n\\\\tXp_Y_XYZp.x = value.x * Xp_Y_XYZp.z;\\\\n\\\\tvec3 vRGB = cLogLuvInverseM * Xp_Y_XYZp.rgb;\\\\n\\\\treturn vec4( max( vRGB, 0.0 ), 1.0 );\\\\n}\\\\\\\",envmap_fragment:\\\\\\\"#ifdef USE_ENVMAP\\\\n\\\\t#ifdef ENV_WORLDPOS\\\\n\\\\t\\\\tvec3 cameraToFrag;\\\\n\\\\t\\\\tif ( isOrthographic ) {\\\\n\\\\t\\\\t\\\\tcameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tcameraToFrag = normalize( vWorldPosition - cameraPosition );\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\\\n\\\\t\\\\t#ifdef ENVMAP_MODE_REFLECTION\\\\n\\\\t\\\\t\\\\tvec3 reflectVec = reflect( cameraToFrag, worldNormal );\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\tvec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );\\\\n\\\\t\\\\t#endif\\\\n\\\\t#else\\\\n\\\\t\\\\tvec3 reflectVec = vReflect;\\\\n\\\\t#endif\\\\n\\\\t#ifdef ENVMAP_TYPE_CUBE\\\\n\\\\t\\\\tvec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );\\\\n\\\\t\\\\tenvColor = envMapTexelToLinear( envColor );\\\\n\\\\t#elif defined( ENVMAP_TYPE_CUBE_UV )\\\\n\\\\t\\\\tvec4 envColor = textureCubeUV( envMap, reflectVec, 0.0 );\\\\n\\\\t#else\\\\n\\\\t\\\\tvec4 envColor = vec4( 0.0 );\\\\n\\\\t#endif\\\\n\\\\t#ifdef ENVMAP_BLENDING_MULTIPLY\\\\n\\\\t\\\\toutgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );\\\\n\\\\t#elif defined( ENVMAP_BLENDING_MIX )\\\\n\\\\t\\\\toutgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );\\\\n\\\\t#elif defined( ENVMAP_BLENDING_ADD )\\\\n\\\\t\\\\toutgoingLight += envColor.xyz * specularStrength * reflectivity;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",envmap_common_pars_fragment:\\\\\\\"#ifdef USE_ENVMAP\\\\n\\\\tuniform float envMapIntensity;\\\\n\\\\tuniform float flipEnvMap;\\\\n\\\\tuniform int maxMipLevel;\\\\n\\\\t#ifdef ENVMAP_TYPE_CUBE\\\\n\\\\t\\\\tuniform samplerCube envMap;\\\\n\\\\t#else\\\\n\\\\t\\\\tuniform sampler2D envMap;\\\\n\\\\t#endif\\\\n\\\\t\\\\n#endif\\\\\\\",envmap_pars_fragment:\\\\\\\"#ifdef USE_ENVMAP\\\\n\\\\tuniform float reflectivity;\\\\n\\\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG )\\\\n\\\\t\\\\t#define ENV_WORLDPOS\\\\n\\\\t#endif\\\\n\\\\t#ifdef ENV_WORLDPOS\\\\n\\\\t\\\\tvarying vec3 vWorldPosition;\\\\n\\\\t\\\\tuniform float refractionRatio;\\\\n\\\\t#else\\\\n\\\\t\\\\tvarying vec3 vReflect;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",envmap_pars_vertex:\\\\\\\"#ifdef USE_ENVMAP\\\\n\\\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) ||defined( PHONG )\\\\n\\\\t\\\\t#define ENV_WORLDPOS\\\\n\\\\t#endif\\\\n\\\\t#ifdef ENV_WORLDPOS\\\\n\\\\t\\\\t\\\\n\\\\t\\\\tvarying vec3 vWorldPosition;\\\\n\\\\t#else\\\\n\\\\t\\\\tvarying vec3 vReflect;\\\\n\\\\t\\\\tuniform float refractionRatio;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",envmap_physical_pars_fragment:\\\\\\\"#if defined( USE_ENVMAP )\\\\n\\\\t#ifdef ENVMAP_MODE_REFRACTION\\\\n\\\\t\\\\tuniform float refractionRatio;\\\\n\\\\t#endif\\\\n\\\\tvec3 getIBLIrradiance( const in vec3 normal ) {\\\\n\\\\t\\\\t#if defined( ENVMAP_TYPE_CUBE_UV )\\\\n\\\\t\\\\t\\\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\\\n\\\\t\\\\t\\\\tvec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );\\\\n\\\\t\\\\t\\\\treturn PI * envMapColor.rgb * envMapIntensity;\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\treturn vec3( 0.0 );\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n\\\\tvec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) {\\\\n\\\\t\\\\t#if defined( ENVMAP_TYPE_CUBE_UV )\\\\n\\\\t\\\\t\\\\tvec3 reflectVec;\\\\n\\\\t\\\\t\\\\t#ifdef ENVMAP_MODE_REFLECTION\\\\n\\\\t\\\\t\\\\t\\\\treflectVec = reflect( - viewDir, normal );\\\\n\\\\t\\\\t\\\\t\\\\treflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );\\\\n\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\treflectVec = refract( - viewDir, normal, refractionRatio );\\\\n\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\treflectVec = inverseTransformDirection( reflectVec, viewMatrix );\\\\n\\\\t\\\\t\\\\tvec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );\\\\n\\\\t\\\\t\\\\treturn envMapColor.rgb * envMapIntensity;\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\treturn vec3( 0.0 );\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n#endif\\\\\\\",envmap_vertex:\\\\\\\"#ifdef USE_ENVMAP\\\\n\\\\t#ifdef ENV_WORLDPOS\\\\n\\\\t\\\\tvWorldPosition = worldPosition.xyz;\\\\n\\\\t#else\\\\n\\\\t\\\\tvec3 cameraToVertex;\\\\n\\\\t\\\\tif ( isOrthographic ) {\\\\n\\\\t\\\\t\\\\tcameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tcameraToVertex = normalize( worldPosition.xyz - cameraPosition );\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\tvec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\\\n\\\\t\\\\t#ifdef ENVMAP_MODE_REFLECTION\\\\n\\\\t\\\\t\\\\tvReflect = reflect( cameraToVertex, worldNormal );\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\tvReflect = refract( cameraToVertex, worldNormal, refractionRatio );\\\\n\\\\t\\\\t#endif\\\\n\\\\t#endif\\\\n#endif\\\\\\\",fog_vertex:\\\\\\\"#ifdef USE_FOG\\\\n\\\\tvFogDepth = - mvPosition.z;\\\\n#endif\\\\\\\",fog_pars_vertex:\\\\\\\"#ifdef USE_FOG\\\\n\\\\tvarying float vFogDepth;\\\\n#endif\\\\\\\",fog_fragment:\\\\\\\"#ifdef USE_FOG\\\\n\\\\t#ifdef FOG_EXP2\\\\n\\\\t\\\\tfloat fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth );\\\\n\\\\t#else\\\\n\\\\t\\\\tfloat fogFactor = smoothstep( fogNear, fogFar, vFogDepth );\\\\n\\\\t#endif\\\\n\\\\tgl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );\\\\n#endif\\\\\\\",fog_pars_fragment:\\\\\\\"#ifdef USE_FOG\\\\n\\\\tuniform vec3 fogColor;\\\\n\\\\tvarying float vFogDepth;\\\\n\\\\t#ifdef FOG_EXP2\\\\n\\\\t\\\\tuniform float fogDensity;\\\\n\\\\t#else\\\\n\\\\t\\\\tuniform float fogNear;\\\\n\\\\t\\\\tuniform float fogFar;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",gradientmap_pars_fragment:\\\\\\\"#ifdef USE_GRADIENTMAP\\\\n\\\\tuniform sampler2D gradientMap;\\\\n#endif\\\\nvec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {\\\\n\\\\tfloat dotNL = dot( normal, lightDirection );\\\\n\\\\tvec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );\\\\n\\\\t#ifdef USE_GRADIENTMAP\\\\n\\\\t\\\\treturn texture2D( gradientMap, coord ).rgb;\\\\n\\\\t#else\\\\n\\\\t\\\\treturn ( coord.x < 0.7 ) ? vec3( 0.7 ) : vec3( 1.0 );\\\\n\\\\t#endif\\\\n}\\\\\\\",lightmap_fragment:\\\\\\\"#ifdef USE_LIGHTMAP\\\\n\\\\tvec4 lightMapTexel = texture2D( lightMap, vUv2 );\\\\n\\\\tvec3 lightMapIrradiance = lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\\\n\\\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\\\n\\\\t\\\\tlightMapIrradiance *= PI;\\\\n\\\\t#endif\\\\n\\\\treflectedLight.indirectDiffuse += lightMapIrradiance;\\\\n#endif\\\\\\\",lightmap_pars_fragment:\\\\\\\"#ifdef USE_LIGHTMAP\\\\n\\\\tuniform sampler2D lightMap;\\\\n\\\\tuniform float lightMapIntensity;\\\\n#endif\\\\\\\",lights_lambert_vertex:\\\\\\\"vec3 diffuse = vec3( 1.0 );\\\\nGeometricContext geometry;\\\\ngeometry.position = mvPosition.xyz;\\\\ngeometry.normal = normalize( transformedNormal );\\\\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( -mvPosition.xyz );\\\\nGeometricContext backGeometry;\\\\nbackGeometry.position = geometry.position;\\\\nbackGeometry.normal = -geometry.normal;\\\\nbackGeometry.viewDir = geometry.viewDir;\\\\nvLightFront = vec3( 0.0 );\\\\nvIndirectFront = vec3( 0.0 );\\\\n#ifdef DOUBLE_SIDED\\\\n\\\\tvLightBack = vec3( 0.0 );\\\\n\\\\tvIndirectBack = vec3( 0.0 );\\\\n#endif\\\\nIncidentLight directLight;\\\\nfloat dotNL;\\\\nvec3 directLightColor_Diffuse;\\\\nvIndirectFront += getAmbientLightIrradiance( ambientLightColor );\\\\nvIndirectFront += getLightProbeIrradiance( lightProbe, geometry.normal );\\\\n#ifdef DOUBLE_SIDED\\\\n\\\\tvIndirectBack += getAmbientLightIrradiance( ambientLightColor );\\\\n\\\\tvIndirectBack += getLightProbeIrradiance( lightProbe, backGeometry.normal );\\\\n#endif\\\\n#if NUM_POINT_LIGHTS > 0\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\\\n\\\\t\\\\tgetPointLightInfo( pointLights[ i ], geometry, directLight );\\\\n\\\\t\\\\tdotNL = dot( geometry.normal, directLight.direction );\\\\n\\\\t\\\\tdirectLightColor_Diffuse = directLight.color;\\\\n\\\\t\\\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\t\\\\t\\\\tvLightBack += saturate( - dotNL ) * directLightColor_Diffuse;\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n#endif\\\\n#if NUM_SPOT_LIGHTS > 0\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\\\n\\\\t\\\\tgetSpotLightInfo( spotLights[ i ], geometry, directLight );\\\\n\\\\t\\\\tdotNL = dot( geometry.normal, directLight.direction );\\\\n\\\\t\\\\tdirectLightColor_Diffuse = directLight.color;\\\\n\\\\t\\\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\t\\\\t\\\\tvLightBack += saturate( - dotNL ) * directLightColor_Diffuse;\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n#endif\\\\n#if NUM_DIR_LIGHTS > 0\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\\\n\\\\t\\\\tgetDirectionalLightInfo( directionalLights[ i ], geometry, directLight );\\\\n\\\\t\\\\tdotNL = dot( geometry.normal, directLight.direction );\\\\n\\\\t\\\\tdirectLightColor_Diffuse = directLight.color;\\\\n\\\\t\\\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\t\\\\t\\\\tvLightBack += saturate( - dotNL ) * directLightColor_Diffuse;\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n#endif\\\\n#if NUM_HEMI_LIGHTS > 0\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\\\n\\\\t\\\\tvIndirectFront += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry.normal );\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\t\\\\t\\\\tvIndirectBack += getHemisphereLightIrradiance( hemisphereLights[ i ], backGeometry.normal );\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n#endif\\\\\\\",lights_pars_begin:\\\\\\\"uniform bool receiveShadow;\\\\nuniform vec3 ambientLightColor;\\\\nuniform vec3 lightProbe[ 9 ];\\\\nvec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {\\\\n\\\\tfloat x = normal.x, y = normal.y, z = normal.z;\\\\n\\\\tvec3 result = shCoefficients[ 0 ] * 0.886227;\\\\n\\\\tresult += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;\\\\n\\\\tresult += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;\\\\n\\\\tresult += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;\\\\n\\\\tresult += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;\\\\n\\\\tresult += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;\\\\n\\\\tresult += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );\\\\n\\\\tresult += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;\\\\n\\\\tresult += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );\\\\n\\\\treturn result;\\\\n}\\\\nvec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) {\\\\n\\\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\\\n\\\\tvec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );\\\\n\\\\treturn irradiance;\\\\n}\\\\nvec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {\\\\n\\\\tvec3 irradiance = ambientLightColor;\\\\n\\\\treturn irradiance;\\\\n}\\\\nfloat getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {\\\\n\\\\t#if defined ( PHYSICALLY_CORRECT_LIGHTS )\\\\n\\\\t\\\\tfloat distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );\\\\n\\\\t\\\\tif ( cutoffDistance > 0.0 ) {\\\\n\\\\t\\\\t\\\\tdistanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\treturn distanceFalloff;\\\\n\\\\t#else\\\\n\\\\t\\\\tif ( cutoffDistance > 0.0 && decayExponent > 0.0 ) {\\\\n\\\\t\\\\t\\\\treturn pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent );\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\treturn 1.0;\\\\n\\\\t#endif\\\\n}\\\\nfloat getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) {\\\\n\\\\treturn smoothstep( coneCosine, penumbraCosine, angleCosine );\\\\n}\\\\n#if NUM_DIR_LIGHTS > 0\\\\n\\\\tstruct DirectionalLight {\\\\n\\\\t\\\\tvec3 direction;\\\\n\\\\t\\\\tvec3 color;\\\\n\\\\t};\\\\n\\\\tuniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];\\\\n\\\\tvoid getDirectionalLightInfo( const in DirectionalLight directionalLight, const in GeometricContext geometry, out IncidentLight light ) {\\\\n\\\\t\\\\tlight.color = directionalLight.color;\\\\n\\\\t\\\\tlight.direction = directionalLight.direction;\\\\n\\\\t\\\\tlight.visible = true;\\\\n\\\\t}\\\\n#endif\\\\n#if NUM_POINT_LIGHTS > 0\\\\n\\\\tstruct PointLight {\\\\n\\\\t\\\\tvec3 position;\\\\n\\\\t\\\\tvec3 color;\\\\n\\\\t\\\\tfloat distance;\\\\n\\\\t\\\\tfloat decay;\\\\n\\\\t};\\\\n\\\\tuniform PointLight pointLights[ NUM_POINT_LIGHTS ];\\\\n\\\\tvoid getPointLightInfo( const in PointLight pointLight, const in GeometricContext geometry, out IncidentLight light ) {\\\\n\\\\t\\\\tvec3 lVector = pointLight.position - geometry.position;\\\\n\\\\t\\\\tlight.direction = normalize( lVector );\\\\n\\\\t\\\\tfloat lightDistance = length( lVector );\\\\n\\\\t\\\\tlight.color = pointLight.color;\\\\n\\\\t\\\\tlight.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay );\\\\n\\\\t\\\\tlight.visible = ( light.color != vec3( 0.0 ) );\\\\n\\\\t}\\\\n#endif\\\\n#if NUM_SPOT_LIGHTS > 0\\\\n\\\\tstruct SpotLight {\\\\n\\\\t\\\\tvec3 position;\\\\n\\\\t\\\\tvec3 direction;\\\\n\\\\t\\\\tvec3 color;\\\\n\\\\t\\\\tfloat distance;\\\\n\\\\t\\\\tfloat decay;\\\\n\\\\t\\\\tfloat coneCos;\\\\n\\\\t\\\\tfloat penumbraCos;\\\\n\\\\t};\\\\n\\\\tuniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];\\\\n\\\\tvoid getSpotLightInfo( const in SpotLight spotLight, const in GeometricContext geometry, out IncidentLight light ) {\\\\n\\\\t\\\\tvec3 lVector = spotLight.position - geometry.position;\\\\n\\\\t\\\\tlight.direction = normalize( lVector );\\\\n\\\\t\\\\tfloat angleCos = dot( light.direction, spotLight.direction );\\\\n\\\\t\\\\tfloat spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos );\\\\n\\\\t\\\\tif ( spotAttenuation > 0.0 ) {\\\\n\\\\t\\\\t\\\\tfloat lightDistance = length( lVector );\\\\n\\\\t\\\\t\\\\tlight.color = spotLight.color * spotAttenuation;\\\\n\\\\t\\\\t\\\\tlight.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay );\\\\n\\\\t\\\\t\\\\tlight.visible = ( light.color != vec3( 0.0 ) );\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tlight.color = vec3( 0.0 );\\\\n\\\\t\\\\t\\\\tlight.visible = false;\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n#endif\\\\n#if NUM_RECT_AREA_LIGHTS > 0\\\\n\\\\tstruct RectAreaLight {\\\\n\\\\t\\\\tvec3 color;\\\\n\\\\t\\\\tvec3 position;\\\\n\\\\t\\\\tvec3 halfWidth;\\\\n\\\\t\\\\tvec3 halfHeight;\\\\n\\\\t};\\\\n\\\\tuniform sampler2D ltc_1;\\\\tuniform sampler2D ltc_2;\\\\n\\\\tuniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];\\\\n#endif\\\\n#if NUM_HEMI_LIGHTS > 0\\\\n\\\\tstruct HemisphereLight {\\\\n\\\\t\\\\tvec3 direction;\\\\n\\\\t\\\\tvec3 skyColor;\\\\n\\\\t\\\\tvec3 groundColor;\\\\n\\\\t};\\\\n\\\\tuniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];\\\\n\\\\tvec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) {\\\\n\\\\t\\\\tfloat dotNL = dot( normal, hemiLight.direction );\\\\n\\\\t\\\\tfloat hemiDiffuseWeight = 0.5 * dotNL + 0.5;\\\\n\\\\t\\\\tvec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );\\\\n\\\\t\\\\treturn irradiance;\\\\n\\\\t}\\\\n#endif\\\\\\\",lights_toon_fragment:\\\\\\\"ToonMaterial material;\\\\nmaterial.diffuseColor = diffuseColor.rgb;\\\\\\\",lights_toon_pars_fragment:\\\\\\\"varying vec3 vViewPosition;\\\\nstruct ToonMaterial {\\\\n\\\\tvec3 diffuseColor;\\\\n};\\\\nvoid RE_Direct_Toon( const in IncidentLight directLight, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\tvec3 irradiance = getGradientIrradiance( geometry.normal, directLight.direction ) * directLight.color;\\\\n\\\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n}\\\\nvoid RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n}\\\\n#define RE_Direct\\\\t\\\\t\\\\t\\\\tRE_Direct_Toon\\\\n#define RE_IndirectDiffuse\\\\t\\\\tRE_IndirectDiffuse_Toon\\\\n#define Material_LightProbeLOD( material )\\\\t(0)\\\\\\\",lights_phong_fragment:\\\\\\\"BlinnPhongMaterial material;\\\\nmaterial.diffuseColor = diffuseColor.rgb;\\\\nmaterial.specularColor = specular;\\\\nmaterial.specularShininess = shininess;\\\\nmaterial.specularStrength = specularStrength;\\\\\\\",lights_phong_pars_fragment:\\\\\\\"varying vec3 vViewPosition;\\\\nstruct BlinnPhongMaterial {\\\\n\\\\tvec3 diffuseColor;\\\\n\\\\tvec3 specularColor;\\\\n\\\\tfloat specularShininess;\\\\n\\\\tfloat specularStrength;\\\\n};\\\\nvoid RE_Direct_BlinnPhong( const in IncidentLight directLight, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\\\\n\\\\tvec3 irradiance = dotNL * directLight.color;\\\\n\\\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n\\\\treflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometry.viewDir, geometry.normal, material.specularColor, material.specularShininess ) * material.specularStrength;\\\\n}\\\\nvoid RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n}\\\\n#define RE_Direct\\\\t\\\\t\\\\t\\\\tRE_Direct_BlinnPhong\\\\n#define RE_IndirectDiffuse\\\\t\\\\tRE_IndirectDiffuse_BlinnPhong\\\\n#define Material_LightProbeLOD( material )\\\\t(0)\\\\\\\",lights_physical_fragment:\\\\\\\"PhysicalMaterial material;\\\\nmaterial.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );\\\\nvec3 dxy = max( abs( dFdx( geometryNormal ) ), abs( dFdy( geometryNormal ) ) );\\\\nfloat geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );\\\\nmaterial.roughness = max( roughnessFactor, 0.0525 );material.roughness += geometryRoughness;\\\\nmaterial.roughness = min( material.roughness, 1.0 );\\\\n#ifdef IOR\\\\n\\\\t#ifdef SPECULAR\\\\n\\\\t\\\\tfloat specularIntensityFactor = specularIntensity;\\\\n\\\\t\\\\tvec3 specularTintFactor = specularTint;\\\\n\\\\t\\\\t#ifdef USE_SPECULARINTENSITYMAP\\\\n\\\\t\\\\t\\\\tspecularIntensityFactor *= texture2D( specularIntensityMap, vUv ).a;\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t#ifdef USE_SPECULARTINTMAP\\\\n\\\\t\\\\t\\\\tspecularTintFactor *= specularTintMapTexelToLinear( texture2D( specularTintMap, vUv ) ).rgb;\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\tmaterial.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor );\\\\n\\\\t#else\\\\n\\\\t\\\\tfloat specularIntensityFactor = 1.0;\\\\n\\\\t\\\\tvec3 specularTintFactor = vec3( 1.0 );\\\\n\\\\t\\\\tmaterial.specularF90 = 1.0;\\\\n\\\\t#endif\\\\n\\\\tmaterial.specularColor = mix( min( pow2( ( ior - 1.0 ) / ( ior + 1.0 ) ) * specularTintFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor );\\\\n#else\\\\n\\\\tmaterial.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor );\\\\n\\\\tmaterial.specularF90 = 1.0;\\\\n#endif\\\\n#ifdef USE_CLEARCOAT\\\\n\\\\tmaterial.clearcoat = clearcoat;\\\\n\\\\tmaterial.clearcoatRoughness = clearcoatRoughness;\\\\n\\\\tmaterial.clearcoatF0 = vec3( 0.04 );\\\\n\\\\tmaterial.clearcoatF90 = 1.0;\\\\n\\\\t#ifdef USE_CLEARCOATMAP\\\\n\\\\t\\\\tmaterial.clearcoat *= texture2D( clearcoatMap, vUv ).x;\\\\n\\\\t#endif\\\\n\\\\t#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\\\n\\\\t\\\\tmaterial.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vUv ).y;\\\\n\\\\t#endif\\\\n\\\\tmaterial.clearcoat = saturate( material.clearcoat );\\\\tmaterial.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );\\\\n\\\\tmaterial.clearcoatRoughness += geometryRoughness;\\\\n\\\\tmaterial.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );\\\\n#endif\\\\n#ifdef USE_SHEEN\\\\n\\\\tmaterial.sheenTint = sheenTint;\\\\n\\\\tmaterial.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 );\\\\n#endif\\\\\\\",lights_physical_pars_fragment:\\\\\\\"struct PhysicalMaterial {\\\\n\\\\tvec3 diffuseColor;\\\\n\\\\tfloat roughness;\\\\n\\\\tvec3 specularColor;\\\\n\\\\tfloat specularF90;\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\t\\\\tfloat clearcoat;\\\\n\\\\t\\\\tfloat clearcoatRoughness;\\\\n\\\\t\\\\tvec3 clearcoatF0;\\\\n\\\\t\\\\tfloat clearcoatF90;\\\\n\\\\t#endif\\\\n\\\\t#ifdef USE_SHEEN\\\\n\\\\t\\\\tvec3 sheenTint;\\\\n\\\\t\\\\tfloat sheenRoughness;\\\\n\\\\t#endif\\\\n};\\\\nvec3 clearcoatSpecular = vec3( 0.0 );\\\\nvec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {\\\\n\\\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\\\n\\\\tconst vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );\\\\n\\\\tconst vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );\\\\n\\\\tvec4 r = roughness * c0 + c1;\\\\n\\\\tfloat a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;\\\\n\\\\tvec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw;\\\\n\\\\treturn fab;\\\\n}\\\\nvec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) {\\\\n\\\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\\\n\\\\treturn specularColor * fab.x + specularF90 * fab.y;\\\\n}\\\\nvoid computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\\\n\\\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\\\n\\\\tvec3 FssEss = specularColor * fab.x + specularF90 * fab.y;\\\\n\\\\tfloat Ess = fab.x + fab.y;\\\\n\\\\tfloat Ems = 1.0 - Ess;\\\\n\\\\tvec3 Favg = specularColor + ( 1.0 - specularColor ) * 0.047619;\\\\tvec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );\\\\n\\\\tsingleScatter += FssEss;\\\\n\\\\tmultiScatter += Fms * Ems;\\\\n}\\\\n#if NUM_RECT_AREA_LIGHTS > 0\\\\n\\\\tvoid RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\t\\\\tvec3 normal = geometry.normal;\\\\n\\\\t\\\\tvec3 viewDir = geometry.viewDir;\\\\n\\\\t\\\\tvec3 position = geometry.position;\\\\n\\\\t\\\\tvec3 lightPos = rectAreaLight.position;\\\\n\\\\t\\\\tvec3 halfWidth = rectAreaLight.halfWidth;\\\\n\\\\t\\\\tvec3 halfHeight = rectAreaLight.halfHeight;\\\\n\\\\t\\\\tvec3 lightColor = rectAreaLight.color;\\\\n\\\\t\\\\tfloat roughness = material.roughness;\\\\n\\\\t\\\\tvec3 rectCoords[ 4 ];\\\\n\\\\t\\\\trectCoords[ 0 ] = lightPos + halfWidth - halfHeight;\\\\t\\\\trectCoords[ 1 ] = lightPos - halfWidth - halfHeight;\\\\n\\\\t\\\\trectCoords[ 2 ] = lightPos - halfWidth + halfHeight;\\\\n\\\\t\\\\trectCoords[ 3 ] = lightPos + halfWidth + halfHeight;\\\\n\\\\t\\\\tvec2 uv = LTC_Uv( normal, viewDir, roughness );\\\\n\\\\t\\\\tvec4 t1 = texture2D( ltc_1, uv );\\\\n\\\\t\\\\tvec4 t2 = texture2D( ltc_2, uv );\\\\n\\\\t\\\\tmat3 mInv = mat3(\\\\n\\\\t\\\\t\\\\tvec3( t1.x, 0, t1.y ),\\\\n\\\\t\\\\t\\\\tvec3( 0, 1, 0 ),\\\\n\\\\t\\\\t\\\\tvec3( t1.z, 0, t1.w )\\\\n\\\\t\\\\t);\\\\n\\\\t\\\\tvec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );\\\\n\\\\t\\\\treflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );\\\\n\\\\t\\\\treflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );\\\\n\\\\t}\\\\n#endif\\\\nvoid RE_Direct_Physical( const in IncidentLight directLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\\\\n\\\\tvec3 irradiance = dotNL * directLight.color;\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\t\\\\tfloat dotNLcc = saturate( dot( geometry.clearcoatNormal, directLight.direction ) );\\\\n\\\\t\\\\tvec3 ccIrradiance = dotNLcc * directLight.color;\\\\n\\\\t\\\\tclearcoatSpecular += ccIrradiance * BRDF_GGX( directLight.direction, geometry.viewDir, geometry.clearcoatNormal, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );\\\\n\\\\t#endif\\\\n\\\\t#ifdef USE_SHEEN\\\\n\\\\t\\\\treflectedLight.directSpecular += irradiance * BRDF_Sheen( directLight.direction, geometry.viewDir, geometry.normal, material.sheenTint, material.sheenRoughness );\\\\n\\\\t#endif\\\\n\\\\treflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometry.viewDir, geometry.normal, material.specularColor, material.specularF90, material.roughness );\\\\n\\\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n}\\\\nvoid RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\\\n\\\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\\\n}\\\\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\t\\\\tclearcoatSpecular += clearcoatRadiance * EnvironmentBRDF( geometry.clearcoatNormal, geometry.viewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );\\\\n\\\\t#endif\\\\n\\\\tvec3 singleScattering = vec3( 0.0 );\\\\n\\\\tvec3 multiScattering = vec3( 0.0 );\\\\n\\\\tvec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;\\\\n\\\\tcomputeMultiscattering( geometry.normal, geometry.viewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering );\\\\n\\\\tvec3 diffuse = material.diffuseColor * ( 1.0 - ( singleScattering + multiScattering ) );\\\\n\\\\treflectedLight.indirectSpecular += radiance * singleScattering;\\\\n\\\\treflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;\\\\n\\\\treflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;\\\\n}\\\\n#define RE_Direct\\\\t\\\\t\\\\t\\\\tRE_Direct_Physical\\\\n#define RE_Direct_RectArea\\\\t\\\\tRE_Direct_RectArea_Physical\\\\n#define RE_IndirectDiffuse\\\\t\\\\tRE_IndirectDiffuse_Physical\\\\n#define RE_IndirectSpecular\\\\t\\\\tRE_IndirectSpecular_Physical\\\\nfloat computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {\\\\n\\\\treturn saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );\\\\n}\\\\\\\",lights_fragment_begin:\\\\\\\"\\\\nGeometricContext geometry;\\\\ngeometry.position = - vViewPosition;\\\\ngeometry.normal = normal;\\\\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );\\\\n#ifdef USE_CLEARCOAT\\\\n\\\\tgeometry.clearcoatNormal = clearcoatNormal;\\\\n#endif\\\\nIncidentLight directLight;\\\\n#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )\\\\n\\\\tPointLight pointLight;\\\\n\\\\t#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\tPointLightShadow pointLightShadow;\\\\n\\\\t#endif\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\\\n\\\\t\\\\tpointLight = pointLights[ i ];\\\\n\\\\t\\\\tgetPointLightInfo( pointLight, geometry, directLight );\\\\n\\\\t\\\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )\\\\n\\\\t\\\\tpointLightShadow = pointLightShadows[ i ];\\\\n\\\\t\\\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\tRE_Direct( directLight, geometry, material, reflectedLight );\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n#endif\\\\n#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )\\\\n\\\\tSpotLight spotLight;\\\\n\\\\t#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\tSpotLightShadow spotLightShadow;\\\\n\\\\t#endif\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\\\n\\\\t\\\\tspotLight = spotLights[ i ];\\\\n\\\\t\\\\tgetSpotLightInfo( spotLight, geometry, directLight );\\\\n\\\\t\\\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\\\n\\\\t\\\\tspotLightShadow = spotLightShadows[ i ];\\\\n\\\\t\\\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\tRE_Direct( directLight, geometry, material, reflectedLight );\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n#endif\\\\n#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )\\\\n\\\\tDirectionalLight directionalLight;\\\\n\\\\t#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\tDirectionalLightShadow directionalLightShadow;\\\\n\\\\t#endif\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\\\n\\\\t\\\\tdirectionalLight = directionalLights[ i ];\\\\n\\\\t\\\\tgetDirectionalLightInfo( directionalLight, geometry, directLight );\\\\n\\\\t\\\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )\\\\n\\\\t\\\\tdirectionalLightShadow = directionalLightShadows[ i ];\\\\n\\\\t\\\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\tRE_Direct( directLight, geometry, material, reflectedLight );\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n#endif\\\\n#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )\\\\n\\\\tRectAreaLight rectAreaLight;\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {\\\\n\\\\t\\\\trectAreaLight = rectAreaLights[ i ];\\\\n\\\\t\\\\tRE_Direct_RectArea( rectAreaLight, geometry, material, reflectedLight );\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n#endif\\\\n#if defined( RE_IndirectDiffuse )\\\\n\\\\tvec3 iblIrradiance = vec3( 0.0 );\\\\n\\\\tvec3 irradiance = getAmbientLightIrradiance( ambientLightColor );\\\\n\\\\tirradiance += getLightProbeIrradiance( lightProbe, geometry.normal );\\\\n\\\\t#if ( NUM_HEMI_LIGHTS > 0 )\\\\n\\\\t\\\\t#pragma unroll_loop_start\\\\n\\\\t\\\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\\\n\\\\t\\\\t\\\\tirradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry.normal );\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\t#pragma unroll_loop_end\\\\n\\\\t#endif\\\\n#endif\\\\n#if defined( RE_IndirectSpecular )\\\\n\\\\tvec3 radiance = vec3( 0.0 );\\\\n\\\\tvec3 clearcoatRadiance = vec3( 0.0 );\\\\n#endif\\\\\\\",lights_fragment_maps:\\\\\\\"#if defined( RE_IndirectDiffuse )\\\\n\\\\t#ifdef USE_LIGHTMAP\\\\n\\\\t\\\\tvec4 lightMapTexel = texture2D( lightMap, vUv2 );\\\\n\\\\t\\\\tvec3 lightMapIrradiance = lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\\\n\\\\t\\\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\\\n\\\\t\\\\t\\\\tlightMapIrradiance *= PI;\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\tirradiance += lightMapIrradiance;\\\\n\\\\t#endif\\\\n\\\\t#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )\\\\n\\\\t\\\\tiblIrradiance += getIBLIrradiance( geometry.normal );\\\\n\\\\t#endif\\\\n#endif\\\\n#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )\\\\n\\\\tradiance += getIBLRadiance( geometry.viewDir, geometry.normal, material.roughness );\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\t\\\\tclearcoatRadiance += getIBLRadiance( geometry.viewDir, geometry.clearcoatNormal, material.clearcoatRoughness );\\\\n\\\\t#endif\\\\n#endif\\\\\\\",lights_fragment_end:\\\\\\\"#if defined( RE_IndirectDiffuse )\\\\n\\\\tRE_IndirectDiffuse( irradiance, geometry, material, reflectedLight );\\\\n#endif\\\\n#if defined( RE_IndirectSpecular )\\\\n\\\\tRE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometry, material, reflectedLight );\\\\n#endif\\\\\\\",logdepthbuf_fragment:\\\\\\\"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\\\n\\\\tgl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;\\\\n#endif\\\\\\\",logdepthbuf_pars_fragment:\\\\\\\"#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\\\n\\\\tuniform float logDepthBufFC;\\\\n\\\\tvarying float vFragDepth;\\\\n\\\\tvarying float vIsPerspective;\\\\n#endif\\\\\\\",logdepthbuf_pars_vertex:\\\\\\\"#ifdef USE_LOGDEPTHBUF\\\\n\\\\t#ifdef USE_LOGDEPTHBUF_EXT\\\\n\\\\t\\\\tvarying float vFragDepth;\\\\n\\\\t\\\\tvarying float vIsPerspective;\\\\n\\\\t#else\\\\n\\\\t\\\\tuniform float logDepthBufFC;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",logdepthbuf_vertex:\\\\\\\"#ifdef USE_LOGDEPTHBUF\\\\n\\\\t#ifdef USE_LOGDEPTHBUF_EXT\\\\n\\\\t\\\\tvFragDepth = 1.0 + gl_Position.w;\\\\n\\\\t\\\\tvIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );\\\\n\\\\t#else\\\\n\\\\t\\\\tif ( isPerspectiveMatrix( projectionMatrix ) ) {\\\\n\\\\t\\\\t\\\\tgl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;\\\\n\\\\t\\\\t\\\\tgl_Position.z *= gl_Position.w;\\\\n\\\\t\\\\t}\\\\n\\\\t#endif\\\\n#endif\\\\\\\",map_fragment:\\\\\\\"#ifdef USE_MAP\\\\n\\\\tvec4 texelColor = texture2D( map, vUv );\\\\n\\\\ttexelColor = mapTexelToLinear( texelColor );\\\\n\\\\tdiffuseColor *= texelColor;\\\\n#endif\\\\\\\",map_pars_fragment:\\\\\\\"#ifdef USE_MAP\\\\n\\\\tuniform sampler2D map;\\\\n#endif\\\\\\\",map_particle_fragment:\\\\\\\"#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\\\n\\\\tvec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;\\\\n#endif\\\\n#ifdef USE_MAP\\\\n\\\\tvec4 mapTexel = texture2D( map, uv );\\\\n\\\\tdiffuseColor *= mapTexelToLinear( mapTexel );\\\\n#endif\\\\n#ifdef USE_ALPHAMAP\\\\n\\\\tdiffuseColor.a *= texture2D( alphaMap, uv ).g;\\\\n#endif\\\\\\\",map_particle_pars_fragment:\\\\\\\"#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\\\n\\\\tuniform mat3 uvTransform;\\\\n#endif\\\\n#ifdef USE_MAP\\\\n\\\\tuniform sampler2D map;\\\\n#endif\\\\n#ifdef USE_ALPHAMAP\\\\n\\\\tuniform sampler2D alphaMap;\\\\n#endif\\\\\\\",metalnessmap_fragment:\\\\\\\"float metalnessFactor = metalness;\\\\n#ifdef USE_METALNESSMAP\\\\n\\\\tvec4 texelMetalness = texture2D( metalnessMap, vUv );\\\\n\\\\tmetalnessFactor *= texelMetalness.b;\\\\n#endif\\\\\\\",metalnessmap_pars_fragment:\\\\\\\"#ifdef USE_METALNESSMAP\\\\n\\\\tuniform sampler2D metalnessMap;\\\\n#endif\\\\\\\",morphnormal_vertex:\\\\\\\"#ifdef USE_MORPHNORMALS\\\\n\\\\tobjectNormal *= morphTargetBaseInfluence;\\\\n\\\\t#ifdef MORPHTARGETS_TEXTURE\\\\n\\\\t\\\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\\\n\\\\t\\\\t\\\\tif ( morphTargetInfluences[ i ] > 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1, 2 ) * morphTargetInfluences[ i ];\\\\n\\\\t\\\\t}\\\\n\\\\t#else\\\\n\\\\t\\\\tobjectNormal += morphNormal0 * morphTargetInfluences[ 0 ];\\\\n\\\\t\\\\tobjectNormal += morphNormal1 * morphTargetInfluences[ 1 ];\\\\n\\\\t\\\\tobjectNormal += morphNormal2 * morphTargetInfluences[ 2 ];\\\\n\\\\t\\\\tobjectNormal += morphNormal3 * morphTargetInfluences[ 3 ];\\\\n\\\\t#endif\\\\n#endif\\\\\\\",morphtarget_pars_vertex:\\\\\\\"#ifdef USE_MORPHTARGETS\\\\n\\\\tuniform float morphTargetBaseInfluence;\\\\n\\\\t#ifdef MORPHTARGETS_TEXTURE\\\\n\\\\t\\\\tuniform float morphTargetInfluences[ MORPHTARGETS_COUNT ];\\\\n\\\\t\\\\tuniform sampler2DArray morphTargetsTexture;\\\\n\\\\t\\\\tuniform vec2 morphTargetsTextureSize;\\\\n\\\\t\\\\tvec3 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset, const in int stride ) {\\\\n\\\\t\\\\t\\\\tfloat texelIndex = float( vertexIndex * stride + offset );\\\\n\\\\t\\\\t\\\\tfloat y = floor( texelIndex / morphTargetsTextureSize.x );\\\\n\\\\t\\\\t\\\\tfloat x = texelIndex - y * morphTargetsTextureSize.x;\\\\n\\\\t\\\\t\\\\tvec3 morphUV = vec3( ( x + 0.5 ) / morphTargetsTextureSize.x, y / morphTargetsTextureSize.y, morphTargetIndex );\\\\n\\\\t\\\\t\\\\treturn texture( morphTargetsTexture, morphUV ).xyz;\\\\n\\\\t\\\\t}\\\\n\\\\t#else\\\\n\\\\t\\\\t#ifndef USE_MORPHNORMALS\\\\n\\\\t\\\\t\\\\tuniform float morphTargetInfluences[ 8 ];\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\tuniform float morphTargetInfluences[ 4 ];\\\\n\\\\t\\\\t#endif\\\\n\\\\t#endif\\\\n#endif\\\\\\\",morphtarget_vertex:\\\\\\\"#ifdef USE_MORPHTARGETS\\\\n\\\\ttransformed *= morphTargetBaseInfluence;\\\\n\\\\t#ifdef MORPHTARGETS_TEXTURE\\\\n\\\\t\\\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\\\n\\\\t\\\\t\\\\t#ifndef USE_MORPHNORMALS\\\\n\\\\t\\\\t\\\\t\\\\tif ( morphTargetInfluences[ i ] > 0.0 ) transformed += getMorph( gl_VertexID, i, 0, 1 ) * morphTargetInfluences[ i ];\\\\n\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\tif ( morphTargetInfluences[ i ] > 0.0 ) transformed += getMorph( gl_VertexID, i, 0, 2 ) * morphTargetInfluences[ i ];\\\\n\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t}\\\\n\\\\t#else\\\\n\\\\t\\\\ttransformed += morphTarget0 * morphTargetInfluences[ 0 ];\\\\n\\\\t\\\\ttransformed += morphTarget1 * morphTargetInfluences[ 1 ];\\\\n\\\\t\\\\ttransformed += morphTarget2 * morphTargetInfluences[ 2 ];\\\\n\\\\t\\\\ttransformed += morphTarget3 * morphTargetInfluences[ 3 ];\\\\n\\\\t\\\\t#ifndef USE_MORPHNORMALS\\\\n\\\\t\\\\t\\\\ttransformed += morphTarget4 * morphTargetInfluences[ 4 ];\\\\n\\\\t\\\\t\\\\ttransformed += morphTarget5 * morphTargetInfluences[ 5 ];\\\\n\\\\t\\\\t\\\\ttransformed += morphTarget6 * morphTargetInfluences[ 6 ];\\\\n\\\\t\\\\t\\\\ttransformed += morphTarget7 * morphTargetInfluences[ 7 ];\\\\n\\\\t\\\\t#endif\\\\n\\\\t#endif\\\\n#endif\\\\\\\",normal_fragment_begin:\\\\\\\"float faceDirection = gl_FrontFacing ? 1.0 : - 1.0;\\\\n#ifdef FLAT_SHADED\\\\n\\\\tvec3 fdx = vec3( dFdx( vViewPosition.x ), dFdx( vViewPosition.y ), dFdx( vViewPosition.z ) );\\\\n\\\\tvec3 fdy = vec3( dFdy( vViewPosition.x ), dFdy( vViewPosition.y ), dFdy( vViewPosition.z ) );\\\\n\\\\tvec3 normal = normalize( cross( fdx, fdy ) );\\\\n#else\\\\n\\\\tvec3 normal = normalize( vNormal );\\\\n\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\t\\\\tnormal = normal * faceDirection;\\\\n\\\\t#endif\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\t\\\\tvec3 tangent = normalize( vTangent );\\\\n\\\\t\\\\tvec3 bitangent = normalize( vBitangent );\\\\n\\\\t\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\t\\\\t\\\\ttangent = tangent * faceDirection;\\\\n\\\\t\\\\t\\\\tbitangent = bitangent * faceDirection;\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t#if defined( TANGENTSPACE_NORMALMAP ) || defined( USE_CLEARCOAT_NORMALMAP )\\\\n\\\\t\\\\t\\\\tmat3 vTBN = mat3( tangent, bitangent, normal );\\\\n\\\\t\\\\t#endif\\\\n\\\\t#endif\\\\n#endif\\\\nvec3 geometryNormal = normal;\\\\\\\",normal_fragment_maps:\\\\\\\"#ifdef OBJECTSPACE_NORMALMAP\\\\n\\\\tnormal = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\\\\n\\\\t#ifdef FLIP_SIDED\\\\n\\\\t\\\\tnormal = - normal;\\\\n\\\\t#endif\\\\n\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\t\\\\tnormal = normal * faceDirection;\\\\n\\\\t#endif\\\\n\\\\tnormal = normalize( normalMatrix * normal );\\\\n#elif defined( TANGENTSPACE_NORMALMAP )\\\\n\\\\tvec3 mapN = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\\\\n\\\\tmapN.xy *= normalScale;\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\t\\\\tnormal = normalize( vTBN * mapN );\\\\n\\\\t#else\\\\n\\\\t\\\\tnormal = perturbNormal2Arb( - vViewPosition, normal, mapN, faceDirection );\\\\n\\\\t#endif\\\\n#elif defined( USE_BUMPMAP )\\\\n\\\\tnormal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection );\\\\n#endif\\\\\\\",normal_pars_fragment:\\\\\\\"#ifndef FLAT_SHADED\\\\n\\\\tvarying vec3 vNormal;\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\t\\\\tvarying vec3 vTangent;\\\\n\\\\t\\\\tvarying vec3 vBitangent;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",normal_pars_vertex:\\\\\\\"#ifndef FLAT_SHADED\\\\n\\\\tvarying vec3 vNormal;\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\t\\\\tvarying vec3 vTangent;\\\\n\\\\t\\\\tvarying vec3 vBitangent;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",normal_vertex:\\\\\\\"#ifndef FLAT_SHADED\\\\n\\\\tvNormal = normalize( transformedNormal );\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\t\\\\tvTangent = normalize( transformedTangent );\\\\n\\\\t\\\\tvBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );\\\\n\\\\t#endif\\\\n#endif\\\\\\\",normalmap_pars_fragment:\\\\\\\"#ifdef USE_NORMALMAP\\\\n\\\\tuniform sampler2D normalMap;\\\\n\\\\tuniform vec2 normalScale;\\\\n#endif\\\\n#ifdef OBJECTSPACE_NORMALMAP\\\\n\\\\tuniform mat3 normalMatrix;\\\\n#endif\\\\n#if ! defined ( USE_TANGENT ) && ( defined ( TANGENTSPACE_NORMALMAP ) || defined ( USE_CLEARCOAT_NORMALMAP ) )\\\\n\\\\tvec3 perturbNormal2Arb( vec3 eye_pos, vec3 surf_norm, vec3 mapN, float faceDirection ) {\\\\n\\\\t\\\\tvec3 q0 = vec3( dFdx( eye_pos.x ), dFdx( eye_pos.y ), dFdx( eye_pos.z ) );\\\\n\\\\t\\\\tvec3 q1 = vec3( dFdy( eye_pos.x ), dFdy( eye_pos.y ), dFdy( eye_pos.z ) );\\\\n\\\\t\\\\tvec2 st0 = dFdx( vUv.st );\\\\n\\\\t\\\\tvec2 st1 = dFdy( vUv.st );\\\\n\\\\t\\\\tvec3 N = surf_norm;\\\\n\\\\t\\\\tvec3 q1perp = cross( q1, N );\\\\n\\\\t\\\\tvec3 q0perp = cross( N, q0 );\\\\n\\\\t\\\\tvec3 T = q1perp * st0.x + q0perp * st1.x;\\\\n\\\\t\\\\tvec3 B = q1perp * st0.y + q0perp * st1.y;\\\\n\\\\t\\\\tfloat det = max( dot( T, T ), dot( B, B ) );\\\\n\\\\t\\\\tfloat scale = ( det == 0.0 ) ? 0.0 : faceDirection * inversesqrt( det );\\\\n\\\\t\\\\treturn normalize( T * ( mapN.x * scale ) + B * ( mapN.y * scale ) + N * mapN.z );\\\\n\\\\t}\\\\n#endif\\\\\\\",clearcoat_normal_fragment_begin:\\\\\\\"#ifdef USE_CLEARCOAT\\\\n\\\\tvec3 clearcoatNormal = geometryNormal;\\\\n#endif\\\\\\\",clearcoat_normal_fragment_maps:\\\\\\\"#ifdef USE_CLEARCOAT_NORMALMAP\\\\n\\\\tvec3 clearcoatMapN = texture2D( clearcoatNormalMap, vUv ).xyz * 2.0 - 1.0;\\\\n\\\\tclearcoatMapN.xy *= clearcoatNormalScale;\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\t\\\\tclearcoatNormal = normalize( vTBN * clearcoatMapN );\\\\n\\\\t#else\\\\n\\\\t\\\\tclearcoatNormal = perturbNormal2Arb( - vViewPosition, clearcoatNormal, clearcoatMapN, faceDirection );\\\\n\\\\t#endif\\\\n#endif\\\\\\\",clearcoat_pars_fragment:\\\\\\\"#ifdef USE_CLEARCOATMAP\\\\n\\\\tuniform sampler2D clearcoatMap;\\\\n#endif\\\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\\\n\\\\tuniform sampler2D clearcoatRoughnessMap;\\\\n#endif\\\\n#ifdef USE_CLEARCOAT_NORMALMAP\\\\n\\\\tuniform sampler2D clearcoatNormalMap;\\\\n\\\\tuniform vec2 clearcoatNormalScale;\\\\n#endif\\\\\\\",output_fragment:\\\\\\\"#ifdef OPAQUE\\\\ndiffuseColor.a = 1.0;\\\\n#endif\\\\n#ifdef USE_TRANSMISSION\\\\ndiffuseColor.a *= transmissionAlpha + 0.1;\\\\n#endif\\\\ngl_FragColor = vec4( outgoingLight, diffuseColor.a );\\\\\\\",packing:\\\\\\\"vec3 packNormalToRGB( const in vec3 normal ) {\\\\n\\\\treturn normalize( normal ) * 0.5 + 0.5;\\\\n}\\\\nvec3 unpackRGBToNormal( const in vec3 rgb ) {\\\\n\\\\treturn 2.0 * rgb.xyz - 1.0;\\\\n}\\\\nconst float PackUpscale = 256. / 255.;const float UnpackDownscale = 255. / 256.;\\\\nconst vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );\\\\nconst vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );\\\\nconst float ShiftRight8 = 1. / 256.;\\\\nvec4 packDepthToRGBA( const in float v ) {\\\\n\\\\tvec4 r = vec4( fract( v * PackFactors ), v );\\\\n\\\\tr.yzw -= r.xyz * ShiftRight8;\\\\treturn r * PackUpscale;\\\\n}\\\\nfloat unpackRGBAToDepth( const in vec4 v ) {\\\\n\\\\treturn dot( v, UnpackFactors );\\\\n}\\\\nvec4 pack2HalfToRGBA( vec2 v ) {\\\\n\\\\tvec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) );\\\\n\\\\treturn vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w );\\\\n}\\\\nvec2 unpackRGBATo2Half( vec4 v ) {\\\\n\\\\treturn vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );\\\\n}\\\\nfloat viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {\\\\n\\\\treturn ( viewZ + near ) / ( near - far );\\\\n}\\\\nfloat orthographicDepthToViewZ( const in float linearClipZ, const in float near, const in float far ) {\\\\n\\\\treturn linearClipZ * ( near - far ) - near;\\\\n}\\\\nfloat viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {\\\\n\\\\treturn ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ );\\\\n}\\\\nfloat perspectiveDepthToViewZ( const in float invClipZ, const in float near, const in float far ) {\\\\n\\\\treturn ( near * far ) / ( ( far - near ) * invClipZ - far );\\\\n}\\\\\\\",premultiplied_alpha_fragment:\\\\\\\"#ifdef PREMULTIPLIED_ALPHA\\\\n\\\\tgl_FragColor.rgb *= gl_FragColor.a;\\\\n#endif\\\\\\\",project_vertex:\\\\\\\"vec4 mvPosition = vec4( transformed, 1.0 );\\\\n#ifdef USE_INSTANCING\\\\n\\\\tmvPosition = instanceMatrix * mvPosition;\\\\n#endif\\\\nmvPosition = modelViewMatrix * mvPosition;\\\\ngl_Position = projectionMatrix * mvPosition;\\\\\\\",dithering_fragment:\\\\\\\"#ifdef DITHERING\\\\n\\\\tgl_FragColor.rgb = dithering( gl_FragColor.rgb );\\\\n#endif\\\\\\\",dithering_pars_fragment:\\\\\\\"#ifdef DITHERING\\\\n\\\\tvec3 dithering( vec3 color ) {\\\\n\\\\t\\\\tfloat grid_position = rand( gl_FragCoord.xy );\\\\n\\\\t\\\\tvec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );\\\\n\\\\t\\\\tdither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );\\\\n\\\\t\\\\treturn color + dither_shift_RGB;\\\\n\\\\t}\\\\n#endif\\\\\\\",roughnessmap_fragment:\\\\\\\"float roughnessFactor = roughness;\\\\n#ifdef USE_ROUGHNESSMAP\\\\n\\\\tvec4 texelRoughness = texture2D( roughnessMap, vUv );\\\\n\\\\troughnessFactor *= texelRoughness.g;\\\\n#endif\\\\\\\",roughnessmap_pars_fragment:\\\\\\\"#ifdef USE_ROUGHNESSMAP\\\\n\\\\tuniform sampler2D roughnessMap;\\\\n#endif\\\\\\\",shadowmap_pars_fragment:\\\\\\\"#ifdef USE_SHADOWMAP\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\t\\\\tuniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tstruct DirectionalLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t};\\\\n\\\\t\\\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\t#endif\\\\n\\\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\t\\\\tuniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tstruct SpotLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t};\\\\n\\\\t\\\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\t#endif\\\\n\\\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\t\\\\tuniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tstruct PointLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t\\\\tfloat shadowCameraNear;\\\\n\\\\t\\\\t\\\\tfloat shadowCameraFar;\\\\n\\\\t\\\\t};\\\\n\\\\t\\\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\t#endif\\\\n\\\\tfloat texture2DCompare( sampler2D depths, vec2 uv, float compare ) {\\\\n\\\\t\\\\treturn step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );\\\\n\\\\t}\\\\n\\\\tvec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {\\\\n\\\\t\\\\treturn unpackRGBATo2Half( texture2D( shadow, uv ) );\\\\n\\\\t}\\\\n\\\\tfloat VSMShadow (sampler2D shadow, vec2 uv, float compare ){\\\\n\\\\t\\\\tfloat occlusion = 1.0;\\\\n\\\\t\\\\tvec2 distribution = texture2DDistribution( shadow, uv );\\\\n\\\\t\\\\tfloat hard_shadow = step( compare , distribution.x );\\\\n\\\\t\\\\tif (hard_shadow != 1.0 ) {\\\\n\\\\t\\\\t\\\\tfloat distance = compare - distribution.x ;\\\\n\\\\t\\\\t\\\\tfloat variance = max( 0.00000, distribution.y * distribution.y );\\\\n\\\\t\\\\t\\\\tfloat softness_probability = variance / (variance + distance * distance );\\\\t\\\\t\\\\tsoftness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 );\\\\t\\\\t\\\\tocclusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\treturn occlusion;\\\\n\\\\t}\\\\n\\\\tfloat getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {\\\\n\\\\t\\\\tfloat shadow = 1.0;\\\\n\\\\t\\\\tshadowCoord.xyz /= shadowCoord.w;\\\\n\\\\t\\\\tshadowCoord.z += shadowBias;\\\\n\\\\t\\\\tbvec4 inFrustumVec = bvec4 ( shadowCoord.x >= 0.0, shadowCoord.x <= 1.0, shadowCoord.y >= 0.0, shadowCoord.y <= 1.0 );\\\\n\\\\t\\\\tbool inFrustum = all( inFrustumVec );\\\\n\\\\t\\\\tbvec2 frustumTestVec = bvec2( inFrustum, shadowCoord.z <= 1.0 );\\\\n\\\\t\\\\tbool frustumTest = all( frustumTestVec );\\\\n\\\\t\\\\tif ( frustumTest ) {\\\\n\\\\t\\\\t#if defined( SHADOWMAP_TYPE_PCF )\\\\n\\\\t\\\\t\\\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\\\n\\\\t\\\\t\\\\tfloat dx0 = - texelSize.x * shadowRadius;\\\\n\\\\t\\\\t\\\\tfloat dy0 = - texelSize.y * shadowRadius;\\\\n\\\\t\\\\t\\\\tfloat dx1 = + texelSize.x * shadowRadius;\\\\n\\\\t\\\\t\\\\tfloat dy1 = + texelSize.y * shadowRadius;\\\\n\\\\t\\\\t\\\\tfloat dx2 = dx0 / 2.0;\\\\n\\\\t\\\\t\\\\tfloat dy2 = dy0 / 2.0;\\\\n\\\\t\\\\t\\\\tfloat dx3 = dx1 / 2.0;\\\\n\\\\t\\\\t\\\\tfloat dy3 = dy1 / 2.0;\\\\n\\\\t\\\\t\\\\tshadow = (\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\\\\n\\\\t\\\\t\\\\t) * ( 1.0 / 17.0 );\\\\n\\\\t\\\\t#elif defined( SHADOWMAP_TYPE_PCF_SOFT )\\\\n\\\\t\\\\t\\\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\\\n\\\\t\\\\t\\\\tfloat dx = texelSize.x;\\\\n\\\\t\\\\t\\\\tfloat dy = texelSize.y;\\\\n\\\\t\\\\t\\\\tvec2 uv = shadowCoord.xy;\\\\n\\\\t\\\\t\\\\tvec2 f = fract( uv * shadowMapSize + 0.5 );\\\\n\\\\t\\\\t\\\\tuv -= f * texelSize;\\\\n\\\\t\\\\t\\\\tshadow = (\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, uv, shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.x ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.x ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.y ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.y ) +\\\\n\\\\t\\\\t\\\\t\\\\tmix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t f.x ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ), \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t f.x ),\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t f.y )\\\\n\\\\t\\\\t\\\\t) * ( 1.0 / 9.0 );\\\\n\\\\t\\\\t#elif defined( SHADOWMAP_TYPE_VSM )\\\\n\\\\t\\\\t\\\\tshadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\tshadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\treturn shadow;\\\\n\\\\t}\\\\n\\\\tvec2 cubeToUV( vec3 v, float texelSizeY ) {\\\\n\\\\t\\\\tvec3 absV = abs( v );\\\\n\\\\t\\\\tfloat scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );\\\\n\\\\t\\\\tabsV *= scaleToCube;\\\\n\\\\t\\\\tv *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );\\\\n\\\\t\\\\tvec2 planar = v.xy;\\\\n\\\\t\\\\tfloat almostATexel = 1.5 * texelSizeY;\\\\n\\\\t\\\\tfloat almostOne = 1.0 - almostATexel;\\\\n\\\\t\\\\tif ( absV.z >= almostOne ) {\\\\n\\\\t\\\\t\\\\tif ( v.z > 0.0 )\\\\n\\\\t\\\\t\\\\t\\\\tplanar.x = 4.0 - v.x;\\\\n\\\\t\\\\t} else if ( absV.x >= almostOne ) {\\\\n\\\\t\\\\t\\\\tfloat signX = sign( v.x );\\\\n\\\\t\\\\t\\\\tplanar.x = v.z * signX + 2.0 * signX;\\\\n\\\\t\\\\t} else if ( absV.y >= almostOne ) {\\\\n\\\\t\\\\t\\\\tfloat signY = sign( v.y );\\\\n\\\\t\\\\t\\\\tplanar.x = v.x + 2.0 * signY + 2.0;\\\\n\\\\t\\\\t\\\\tplanar.y = v.z * signY - 2.0;\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\treturn vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );\\\\n\\\\t}\\\\n\\\\tfloat getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {\\\\n\\\\t\\\\tvec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );\\\\n\\\\t\\\\tvec3 lightToPosition = shadowCoord.xyz;\\\\n\\\\t\\\\tfloat dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear );\\\\t\\\\tdp += shadowBias;\\\\n\\\\t\\\\tvec3 bd3D = normalize( lightToPosition );\\\\n\\\\t\\\\t#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )\\\\n\\\\t\\\\t\\\\tvec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;\\\\n\\\\t\\\\t\\\\treturn (\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +\\\\n\\\\t\\\\t\\\\t\\\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )\\\\n\\\\t\\\\t\\\\t) * ( 1.0 / 9.0 );\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\treturn texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n#endif\\\\\\\",shadowmap_pars_vertex:\\\\\\\"#ifdef USE_SHADOWMAP\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\t\\\\tuniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tstruct DirectionalLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t};\\\\n\\\\t\\\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\\\n\\\\t#endif\\\\n\\\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\t\\\\tuniform mat4 spotShadowMatrix[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tstruct SpotLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t};\\\\n\\\\t\\\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\\\n\\\\t#endif\\\\n\\\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\t\\\\tuniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\t\\\\tstruct PointLightShadow {\\\\n\\\\t\\\\t\\\\tfloat shadowBias;\\\\n\\\\t\\\\t\\\\tfloat shadowNormalBias;\\\\n\\\\t\\\\t\\\\tfloat shadowRadius;\\\\n\\\\t\\\\t\\\\tvec2 shadowMapSize;\\\\n\\\\t\\\\t\\\\tfloat shadowCameraNear;\\\\n\\\\t\\\\t\\\\tfloat shadowCameraFar;\\\\n\\\\t\\\\t};\\\\n\\\\t\\\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\\\n\\\\t#endif\\\\n#endif\\\\\\\",shadowmap_vertex:\\\\\\\"#ifdef USE_SHADOWMAP\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0 || NUM_SPOT_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\t\\\\tvec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\\\n\\\\t\\\\tvec4 shadowWorldPosition;\\\\n\\\\t#endif\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\t\\\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );\\\\n\\\\t\\\\tvDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\t#endif\\\\n\\\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\t\\\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias, 0 );\\\\n\\\\t\\\\tvSpotShadowCoord[ i ] = spotShadowMatrix[ i ] * shadowWorldPosition;\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\t#endif\\\\n\\\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\t\\\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );\\\\n\\\\t\\\\tvPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\t#endif\\\\n#endif\\\\\\\",shadowmask_pars_fragment:\\\\\\\"float getShadowMask() {\\\\n\\\\tfloat shadow = 1.0;\\\\n\\\\t#ifdef USE_SHADOWMAP\\\\n\\\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\\\n\\\\tDirectionalLightShadow directionalLight;\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\t\\\\tdirectionalLight = directionalLightShadows[ i ];\\\\n\\\\t\\\\tshadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\t#endif\\\\n\\\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\\\n\\\\tSpotLightShadow spotLight;\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\t\\\\tspotLight = spotLightShadows[ i ];\\\\n\\\\t\\\\tshadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\t#endif\\\\n\\\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\\\n\\\\tPointLightShadow pointLight;\\\\n\\\\t#pragma unroll_loop_start\\\\n\\\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\\\n\\\\t\\\\tpointLight = pointLightShadows[ i ];\\\\n\\\\t\\\\tshadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\\\\n\\\\t}\\\\n\\\\t#pragma unroll_loop_end\\\\n\\\\t#endif\\\\n\\\\t#endif\\\\n\\\\treturn shadow;\\\\n}\\\\\\\",skinbase_vertex:\\\\\\\"#ifdef USE_SKINNING\\\\n\\\\tmat4 boneMatX = getBoneMatrix( skinIndex.x );\\\\n\\\\tmat4 boneMatY = getBoneMatrix( skinIndex.y );\\\\n\\\\tmat4 boneMatZ = getBoneMatrix( skinIndex.z );\\\\n\\\\tmat4 boneMatW = getBoneMatrix( skinIndex.w );\\\\n#endif\\\\\\\",skinning_pars_vertex:\\\\\\\"#ifdef USE_SKINNING\\\\n\\\\tuniform mat4 bindMatrix;\\\\n\\\\tuniform mat4 bindMatrixInverse;\\\\n\\\\t#ifdef BONE_TEXTURE\\\\n\\\\t\\\\tuniform highp sampler2D boneTexture;\\\\n\\\\t\\\\tuniform int boneTextureSize;\\\\n\\\\t\\\\tmat4 getBoneMatrix( const in float i ) {\\\\n\\\\t\\\\t\\\\tfloat j = i * 4.0;\\\\n\\\\t\\\\t\\\\tfloat x = mod( j, float( boneTextureSize ) );\\\\n\\\\t\\\\t\\\\tfloat y = floor( j / float( boneTextureSize ) );\\\\n\\\\t\\\\t\\\\tfloat dx = 1.0 / float( boneTextureSize );\\\\n\\\\t\\\\t\\\\tfloat dy = 1.0 / float( boneTextureSize );\\\\n\\\\t\\\\t\\\\ty = dy * ( y + 0.5 );\\\\n\\\\t\\\\t\\\\tvec4 v1 = texture2D( boneTexture, vec2( dx * ( x + 0.5 ), y ) );\\\\n\\\\t\\\\t\\\\tvec4 v2 = texture2D( boneTexture, vec2( dx * ( x + 1.5 ), y ) );\\\\n\\\\t\\\\t\\\\tvec4 v3 = texture2D( boneTexture, vec2( dx * ( x + 2.5 ), y ) );\\\\n\\\\t\\\\t\\\\tvec4 v4 = texture2D( boneTexture, vec2( dx * ( x + 3.5 ), y ) );\\\\n\\\\t\\\\t\\\\tmat4 bone = mat4( v1, v2, v3, v4 );\\\\n\\\\t\\\\t\\\\treturn bone;\\\\n\\\\t\\\\t}\\\\n\\\\t#else\\\\n\\\\t\\\\tuniform mat4 boneMatrices[ MAX_BONES ];\\\\n\\\\t\\\\tmat4 getBoneMatrix( const in float i ) {\\\\n\\\\t\\\\t\\\\tmat4 bone = boneMatrices[ int(i) ];\\\\n\\\\t\\\\t\\\\treturn bone;\\\\n\\\\t\\\\t}\\\\n\\\\t#endif\\\\n#endif\\\\\\\",skinning_vertex:\\\\\\\"#ifdef USE_SKINNING\\\\n\\\\tvec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );\\\\n\\\\tvec4 skinned = vec4( 0.0 );\\\\n\\\\tskinned += boneMatX * skinVertex * skinWeight.x;\\\\n\\\\tskinned += boneMatY * skinVertex * skinWeight.y;\\\\n\\\\tskinned += boneMatZ * skinVertex * skinWeight.z;\\\\n\\\\tskinned += boneMatW * skinVertex * skinWeight.w;\\\\n\\\\ttransformed = ( bindMatrixInverse * skinned ).xyz;\\\\n#endif\\\\\\\",skinnormal_vertex:\\\\\\\"#ifdef USE_SKINNING\\\\n\\\\tmat4 skinMatrix = mat4( 0.0 );\\\\n\\\\tskinMatrix += skinWeight.x * boneMatX;\\\\n\\\\tskinMatrix += skinWeight.y * boneMatY;\\\\n\\\\tskinMatrix += skinWeight.z * boneMatZ;\\\\n\\\\tskinMatrix += skinWeight.w * boneMatW;\\\\n\\\\tskinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;\\\\n\\\\tobjectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;\\\\n\\\\t#ifdef USE_TANGENT\\\\n\\\\t\\\\tobjectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\\\n\\\\t#endif\\\\n#endif\\\\\\\",specularmap_fragment:\\\\\\\"float specularStrength;\\\\n#ifdef USE_SPECULARMAP\\\\n\\\\tvec4 texelSpecular = texture2D( specularMap, vUv );\\\\n\\\\tspecularStrength = texelSpecular.r;\\\\n#else\\\\n\\\\tspecularStrength = 1.0;\\\\n#endif\\\\\\\",specularmap_pars_fragment:\\\\\\\"#ifdef USE_SPECULARMAP\\\\n\\\\tuniform sampler2D specularMap;\\\\n#endif\\\\\\\",tonemapping_fragment:\\\\\\\"#if defined( TONE_MAPPING )\\\\n\\\\tgl_FragColor.rgb = toneMapping( gl_FragColor.rgb );\\\\n#endif\\\\\\\",tonemapping_pars_fragment:\\\\\\\"#ifndef saturate\\\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\\\n#endif\\\\nuniform float toneMappingExposure;\\\\nvec3 LinearToneMapping( vec3 color ) {\\\\n\\\\treturn toneMappingExposure * color;\\\\n}\\\\nvec3 ReinhardToneMapping( vec3 color ) {\\\\n\\\\tcolor *= toneMappingExposure;\\\\n\\\\treturn saturate( color / ( vec3( 1.0 ) + color ) );\\\\n}\\\\nvec3 OptimizedCineonToneMapping( vec3 color ) {\\\\n\\\\tcolor *= toneMappingExposure;\\\\n\\\\tcolor = max( vec3( 0.0 ), color - 0.004 );\\\\n\\\\treturn pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );\\\\n}\\\\nvec3 RRTAndODTFit( vec3 v ) {\\\\n\\\\tvec3 a = v * ( v + 0.0245786 ) - 0.000090537;\\\\n\\\\tvec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;\\\\n\\\\treturn a / b;\\\\n}\\\\nvec3 ACESFilmicToneMapping( vec3 color ) {\\\\n\\\\tconst mat3 ACESInputMat = mat3(\\\\n\\\\t\\\\tvec3( 0.59719, 0.07600, 0.02840 ),\\\\t\\\\tvec3( 0.35458, 0.90834, 0.13383 ),\\\\n\\\\t\\\\tvec3( 0.04823, 0.01566, 0.83777 )\\\\n\\\\t);\\\\n\\\\tconst mat3 ACESOutputMat = mat3(\\\\n\\\\t\\\\tvec3( 1.60475, -0.10208, -0.00327 ),\\\\t\\\\tvec3( -0.53108, 1.10813, -0.07276 ),\\\\n\\\\t\\\\tvec3( -0.07367, -0.00605, 1.07602 )\\\\n\\\\t);\\\\n\\\\tcolor *= toneMappingExposure / 0.6;\\\\n\\\\tcolor = ACESInputMat * color;\\\\n\\\\tcolor = RRTAndODTFit( color );\\\\n\\\\tcolor = ACESOutputMat * color;\\\\n\\\\treturn saturate( color );\\\\n}\\\\nvec3 CustomToneMapping( vec3 color ) { return color; }\\\\\\\",transmission_fragment:\\\\\\\"#ifdef USE_TRANSMISSION\\\\n\\\\tfloat transmissionAlpha = 1.0;\\\\n\\\\tfloat transmissionFactor = transmission;\\\\n\\\\tfloat thicknessFactor = thickness;\\\\n\\\\t#ifdef USE_TRANSMISSIONMAP\\\\n\\\\t\\\\ttransmissionFactor *= texture2D( transmissionMap, vUv ).r;\\\\n\\\\t#endif\\\\n\\\\t#ifdef USE_THICKNESSMAP\\\\n\\\\t\\\\tthicknessFactor *= texture2D( thicknessMap, vUv ).g;\\\\n\\\\t#endif\\\\n\\\\tvec3 pos = vWorldPosition;\\\\n\\\\tvec3 v = normalize( cameraPosition - pos );\\\\n\\\\tvec3 n = inverseTransformDirection( normal, viewMatrix );\\\\n\\\\tvec4 transmission = getIBLVolumeRefraction(\\\\n\\\\t\\\\tn, v, roughnessFactor, material.diffuseColor, material.specularColor, material.specularF90,\\\\n\\\\t\\\\tpos, modelMatrix, viewMatrix, projectionMatrix, ior, thicknessFactor,\\\\n\\\\t\\\\tattenuationTint, attenuationDistance );\\\\n\\\\ttotalDiffuse = mix( totalDiffuse, transmission.rgb, transmissionFactor );\\\\n\\\\ttransmissionAlpha = mix( transmissionAlpha, transmission.a, transmissionFactor );\\\\n#endif\\\\\\\",transmission_pars_fragment:\\\\\\\"#ifdef USE_TRANSMISSION\\\\n\\\\tuniform float transmission;\\\\n\\\\tuniform float thickness;\\\\n\\\\tuniform float attenuationDistance;\\\\n\\\\tuniform vec3 attenuationTint;\\\\n\\\\t#ifdef USE_TRANSMISSIONMAP\\\\n\\\\t\\\\tuniform sampler2D transmissionMap;\\\\n\\\\t#endif\\\\n\\\\t#ifdef USE_THICKNESSMAP\\\\n\\\\t\\\\tuniform sampler2D thicknessMap;\\\\n\\\\t#endif\\\\n\\\\tuniform vec2 transmissionSamplerSize;\\\\n\\\\tuniform sampler2D transmissionSamplerMap;\\\\n\\\\tuniform mat4 modelMatrix;\\\\n\\\\tuniform mat4 projectionMatrix;\\\\n\\\\tvarying vec3 vWorldPosition;\\\\n\\\\tvec3 getVolumeTransmissionRay( vec3 n, vec3 v, float thickness, float ior, mat4 modelMatrix ) {\\\\n\\\\t\\\\tvec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );\\\\n\\\\t\\\\tvec3 modelScale;\\\\n\\\\t\\\\tmodelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );\\\\n\\\\t\\\\tmodelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );\\\\n\\\\t\\\\tmodelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );\\\\n\\\\t\\\\treturn normalize( refractionVector ) * thickness * modelScale;\\\\n\\\\t}\\\\n\\\\tfloat applyIorToRoughness( float roughness, float ior ) {\\\\n\\\\t\\\\treturn roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );\\\\n\\\\t}\\\\n\\\\tvec4 getTransmissionSample( vec2 fragCoord, float roughness, float ior ) {\\\\n\\\\t\\\\tfloat framebufferLod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );\\\\n\\\\t\\\\t#ifdef TEXTURE_LOD_EXT\\\\n\\\\t\\\\t\\\\treturn texture2DLodEXT( transmissionSamplerMap, fragCoord.xy, framebufferLod );\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\treturn texture2D( transmissionSamplerMap, fragCoord.xy, framebufferLod );\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n\\\\tvec3 applyVolumeAttenuation( vec3 radiance, float transmissionDistance, vec3 attenuationColor, float attenuationDistance ) {\\\\n\\\\t\\\\tif ( attenuationDistance == 0.0 ) {\\\\n\\\\t\\\\t\\\\treturn radiance;\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tvec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;\\\\n\\\\t\\\\t\\\\tvec3 transmittance = exp( - attenuationCoefficient * transmissionDistance );\\\\t\\\\t\\\\treturn transmittance * radiance;\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n\\\\tvec4 getIBLVolumeRefraction( vec3 n, vec3 v, float roughness, vec3 diffuseColor, vec3 specularColor, float specularF90,\\\\n\\\\t\\\\tvec3 position, mat4 modelMatrix, mat4 viewMatrix, mat4 projMatrix, float ior, float thickness,\\\\n\\\\t\\\\tvec3 attenuationColor, float attenuationDistance ) {\\\\n\\\\t\\\\tvec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );\\\\n\\\\t\\\\tvec3 refractedRayExit = position + transmissionRay;\\\\n\\\\t\\\\tvec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );\\\\n\\\\t\\\\tvec2 refractionCoords = ndcPos.xy / ndcPos.w;\\\\n\\\\t\\\\trefractionCoords += 1.0;\\\\n\\\\t\\\\trefractionCoords /= 2.0;\\\\n\\\\t\\\\tvec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );\\\\n\\\\t\\\\tvec3 attenuatedColor = applyVolumeAttenuation( transmittedLight.rgb, length( transmissionRay ), attenuationColor, attenuationDistance );\\\\n\\\\t\\\\tvec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );\\\\n\\\\t\\\\treturn vec4( ( 1.0 - F ) * attenuatedColor * diffuseColor, transmittedLight.a );\\\\n\\\\t}\\\\n#endif\\\\\\\",uv_pars_fragment:\\\\\\\"#if ( defined( USE_UV ) && ! defined( UVS_VERTEX_ONLY ) )\\\\n\\\\tvarying vec2 vUv;\\\\n#endif\\\\\\\",uv_pars_vertex:\\\\\\\"#ifdef USE_UV\\\\n\\\\t#ifdef UVS_VERTEX_ONLY\\\\n\\\\t\\\\tvec2 vUv;\\\\n\\\\t#else\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\t#endif\\\\n\\\\tuniform mat3 uvTransform;\\\\n#endif\\\\\\\",uv_vertex:\\\\\\\"#ifdef USE_UV\\\\n\\\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\\\n#endif\\\\\\\",uv2_pars_fragment:\\\\\\\"#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\\\n\\\\tvarying vec2 vUv2;\\\\n#endif\\\\\\\",uv2_pars_vertex:\\\\\\\"#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\\\n\\\\tattribute vec2 uv2;\\\\n\\\\tvarying vec2 vUv2;\\\\n\\\\tuniform mat3 uv2Transform;\\\\n#endif\\\\\\\",uv2_vertex:\\\\\\\"#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\\\n\\\\tvUv2 = ( uv2Transform * vec3( uv2, 1 ) ).xy;\\\\n#endif\\\\\\\",worldpos_vertex:\\\\\\\"#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION )\\\\n\\\\tvec4 worldPosition = vec4( transformed, 1.0 );\\\\n\\\\t#ifdef USE_INSTANCING\\\\n\\\\t\\\\tworldPosition = instanceMatrix * worldPosition;\\\\n\\\\t#endif\\\\n\\\\tworldPosition = modelMatrix * worldPosition;\\\\n#endif\\\\\\\",background_vert:\\\\\\\"varying vec2 vUv;\\\\nuniform mat3 uvTransform;\\\\nvoid main() {\\\\n\\\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\\\n\\\\tgl_Position = vec4( position.xy, 1.0, 1.0 );\\\\n}\\\\\\\",background_frag:\\\\\\\"uniform sampler2D t2D;\\\\nvarying vec2 vUv;\\\\nvoid main() {\\\\n\\\\tvec4 texColor = texture2D( t2D, vUv );\\\\n\\\\tgl_FragColor = mapTexelToLinear( texColor );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",cube_vert:\\\\\\\"varying vec3 vWorldDirection;\\\\n#include \\\\nvoid main() {\\\\n\\\\tvWorldDirection = transformDirection( position, modelMatrix );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tgl_Position.z = gl_Position.w;\\\\n}\\\\\\\",cube_frag:\\\\\\\"#include \\\\nuniform float opacity;\\\\nvarying vec3 vWorldDirection;\\\\n#include \\\\nvoid main() {\\\\n\\\\tvec3 vReflect = vWorldDirection;\\\\n\\\\t#include \\\\n\\\\tgl_FragColor = envColor;\\\\n\\\\tgl_FragColor.a *= opacity;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",depth_vert:\\\\\\\"#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvarying vec2 vHighPrecisionZW;\\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#ifdef USE_DISPLACEMENTMAP\\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t#endif\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvHighPrecisionZW = gl_Position.zw;\\\\n}\\\\\\\",depth_frag:\\\\\\\"#if DEPTH_PACKING == 3200\\\\n\\\\tuniform float opacity;\\\\n#endif\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvarying vec2 vHighPrecisionZW;\\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec4 diffuseColor = vec4( 1.0 );\\\\n\\\\t#if DEPTH_PACKING == 3200\\\\n\\\\t\\\\tdiffuseColor.a = opacity;\\\\n\\\\t#endif\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tfloat fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;\\\\n\\\\t#if DEPTH_PACKING == 3200\\\\n\\\\t\\\\tgl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );\\\\n\\\\t#elif DEPTH_PACKING == 3201\\\\n\\\\t\\\\tgl_FragColor = packDepthToRGBA( fragCoordZ );\\\\n\\\\t#endif\\\\n}\\\\\\\",distanceRGBA_vert:\\\\\\\"#define DISTANCE\\\\nvarying vec3 vWorldPosition;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#ifdef USE_DISPLACEMENTMAP\\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t#endif\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvWorldPosition = worldPosition.xyz;\\\\n}\\\\\\\",distanceRGBA_frag:\\\\\\\"#define DISTANCE\\\\nuniform vec3 referencePosition;\\\\nuniform float nearDistance;\\\\nuniform float farDistance;\\\\nvarying vec3 vWorldPosition;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main () {\\\\n\\\\t#include \\\\n\\\\tvec4 diffuseColor = vec4( 1.0 );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tfloat dist = length( vWorldPosition - referencePosition );\\\\n\\\\tdist = ( dist - nearDistance ) / ( farDistance - nearDistance );\\\\n\\\\tdist = saturate( dist );\\\\n\\\\tgl_FragColor = packDepthToRGBA( dist );\\\\n}\\\\\\\",equirect_vert:\\\\\\\"varying vec3 vWorldDirection;\\\\n#include \\\\nvoid main() {\\\\n\\\\tvWorldDirection = transformDirection( position, modelMatrix );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",equirect_frag:\\\\\\\"uniform sampler2D tEquirect;\\\\nvarying vec3 vWorldDirection;\\\\n#include \\\\nvoid main() {\\\\n\\\\tvec3 direction = normalize( vWorldDirection );\\\\n\\\\tvec2 sampleUV = equirectUv( direction );\\\\n\\\\tvec4 texColor = texture2D( tEquirect, sampleUV );\\\\n\\\\tgl_FragColor = mapTexelToLinear( texColor );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",linedashed_vert:\\\\\\\"uniform float scale;\\\\nattribute float lineDistance;\\\\nvarying float vLineDistance;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\tvLineDistance = scale * lineDistance;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",linedashed_frag:\\\\\\\"uniform vec3 diffuse;\\\\nuniform float opacity;\\\\nuniform float dashSize;\\\\nuniform float totalSize;\\\\nvarying float vLineDistance;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tif ( mod( vLineDistance, totalSize ) > dashSize ) {\\\\n\\\\t\\\\tdiscard;\\\\n\\\\t}\\\\n\\\\tvec3 outgoingLight = vec3( 0.0 );\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\toutgoingLight = diffuseColor.rgb;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshbasic_vert:\\\\\\\"#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#if defined ( USE_ENVMAP ) || defined ( USE_SKINNING )\\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t\\\\t#include \\\\n\\\\t#endif\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshbasic_frag:\\\\\\\"uniform vec3 diffuse;\\\\nuniform float opacity;\\\\n#ifndef FLAT_SHADED\\\\n\\\\tvarying vec3 vNormal;\\\\n#endif\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\t#ifdef USE_LIGHTMAP\\\\n\\\\t\\\\tvec4 lightMapTexel= texture2D( lightMap, vUv2 );\\\\n\\\\t\\\\treflectedLight.indirectDiffuse += lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\\\n\\\\t#else\\\\n\\\\t\\\\treflectedLight.indirectDiffuse += vec3( 1.0 );\\\\n\\\\t#endif\\\\n\\\\t#include \\\\n\\\\treflectedLight.indirectDiffuse *= diffuseColor.rgb;\\\\n\\\\tvec3 outgoingLight = reflectedLight.indirectDiffuse;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshlambert_vert:\\\\\\\"#define LAMBERT\\\\nvarying vec3 vLightFront;\\\\nvarying vec3 vIndirectFront;\\\\n#ifdef DOUBLE_SIDED\\\\n\\\\tvarying vec3 vLightBack;\\\\n\\\\tvarying vec3 vIndirectBack;\\\\n#endif\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshlambert_frag:\\\\\\\"uniform vec3 diffuse;\\\\nuniform vec3 emissive;\\\\nuniform float opacity;\\\\nvarying vec3 vLightFront;\\\\nvarying vec3 vIndirectFront;\\\\n#ifdef DOUBLE_SIDED\\\\n\\\\tvarying vec3 vLightBack;\\\\n\\\\tvarying vec3 vIndirectBack;\\\\n#endif\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\tvec3 totalEmissiveRadiance = emissive;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\t\\\\treflectedLight.indirectDiffuse += ( gl_FrontFacing ) ? vIndirectFront : vIndirectBack;\\\\n\\\\t#else\\\\n\\\\t\\\\treflectedLight.indirectDiffuse += vIndirectFront;\\\\n\\\\t#endif\\\\n\\\\t#include \\\\n\\\\treflectedLight.indirectDiffuse *= BRDF_Lambert( diffuseColor.rgb );\\\\n\\\\t#ifdef DOUBLE_SIDED\\\\n\\\\t\\\\treflectedLight.directDiffuse = ( gl_FrontFacing ) ? vLightFront : vLightBack;\\\\n\\\\t#else\\\\n\\\\t\\\\treflectedLight.directDiffuse = vLightFront;\\\\n\\\\t#endif\\\\n\\\\treflectedLight.directDiffuse *= BRDF_Lambert( diffuseColor.rgb ) * getShadowMask();\\\\n\\\\t#include \\\\n\\\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshmatcap_vert:\\\\\\\"#define MATCAP\\\\nvarying vec3 vViewPosition;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n}\\\\\\\",meshmatcap_frag:\\\\\\\"#define MATCAP\\\\nuniform vec3 diffuse;\\\\nuniform float opacity;\\\\nuniform sampler2D matcap;\\\\nvarying vec3 vViewPosition;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvec3 viewDir = normalize( vViewPosition );\\\\n\\\\tvec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );\\\\n\\\\tvec3 y = cross( viewDir, x );\\\\n\\\\tvec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5;\\\\n\\\\t#ifdef USE_MATCAP\\\\n\\\\t\\\\tvec4 matcapColor = texture2D( matcap, uv );\\\\n\\\\t\\\\tmatcapColor = matcapTexelToLinear( matcapColor );\\\\n\\\\t#else\\\\n\\\\t\\\\tvec4 matcapColor = vec4( 1.0 );\\\\n\\\\t#endif\\\\n\\\\tvec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshnormal_vert:\\\\\\\"#define NORMAL\\\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\\\n\\\\tvarying vec3 vViewPosition;\\\\n#endif\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n#endif\\\\n}\\\\\\\",meshnormal_frag:\\\\\\\"#define NORMAL\\\\nuniform float opacity;\\\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\\\n\\\\tvarying vec3 vViewPosition;\\\\n#endif\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tgl_FragColor = vec4( packNormalToRGB( normal ), opacity );\\\\n}\\\\\\\",meshphong_vert:\\\\\\\"#define PHONG\\\\nvarying vec3 vViewPosition;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshphong_frag:\\\\\\\"#define PHONG\\\\nuniform vec3 diffuse;\\\\nuniform vec3 emissive;\\\\nuniform vec3 specular;\\\\nuniform float shininess;\\\\nuniform float opacity;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\tvec3 totalEmissiveRadiance = emissive;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshphysical_vert:\\\\\\\"#define STANDARD\\\\nvarying vec3 vViewPosition;\\\\n#ifdef USE_TRANSMISSION\\\\n\\\\tvarying vec3 vWorldPosition;\\\\n#endif\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n#ifdef USE_TRANSMISSION\\\\n\\\\tvWorldPosition = worldPosition.xyz;\\\\n#endif\\\\n}\\\\\\\",meshphysical_frag:\\\\\\\"#define STANDARD\\\\n#ifdef PHYSICAL\\\\n\\\\t#define IOR\\\\n\\\\t#define SPECULAR\\\\n#endif\\\\nuniform vec3 diffuse;\\\\nuniform vec3 emissive;\\\\nuniform float roughness;\\\\nuniform float metalness;\\\\nuniform float opacity;\\\\n#ifdef IOR\\\\n\\\\tuniform float ior;\\\\n#endif\\\\n#ifdef SPECULAR\\\\n\\\\tuniform float specularIntensity;\\\\n\\\\tuniform vec3 specularTint;\\\\n\\\\t#ifdef USE_SPECULARINTENSITYMAP\\\\n\\\\t\\\\tuniform sampler2D specularIntensityMap;\\\\n\\\\t#endif\\\\n\\\\t#ifdef USE_SPECULARTINTMAP\\\\n\\\\t\\\\tuniform sampler2D specularTintMap;\\\\n\\\\t#endif\\\\n#endif\\\\n#ifdef USE_CLEARCOAT\\\\n\\\\tuniform float clearcoat;\\\\n\\\\tuniform float clearcoatRoughness;\\\\n#endif\\\\n#ifdef USE_SHEEN\\\\n\\\\tuniform vec3 sheenTint;\\\\n\\\\tuniform float sheenRoughness;\\\\n#endif\\\\nvarying vec3 vViewPosition;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\tvec3 totalEmissiveRadiance = emissive;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse;\\\\n\\\\tvec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular;\\\\n\\\\t#include \\\\n\\\\tvec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance;\\\\n\\\\t#ifdef USE_CLEARCOAT\\\\n\\\\t\\\\tfloat dotNVcc = saturate( dot( geometry.clearcoatNormal, geometry.viewDir ) );\\\\n\\\\t\\\\tvec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc );\\\\n\\\\t\\\\toutgoingLight = outgoingLight * ( 1.0 - clearcoat * Fcc ) + clearcoatSpecular * clearcoat;\\\\n\\\\t#endif\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshtoon_vert:\\\\\\\"#define TOON\\\\nvarying vec3 vViewPosition;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvViewPosition = - mvPosition.xyz;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",meshtoon_frag:\\\\\\\"#define TOON\\\\nuniform vec3 diffuse;\\\\nuniform vec3 emissive;\\\\nuniform float opacity;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\\\n\\\\tvec3 totalEmissiveRadiance = emissive;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",points_vert:\\\\\\\"uniform float size;\\\\nuniform float scale;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\tgl_PointSize = size;\\\\n\\\\t#ifdef USE_SIZEATTENUATION\\\\n\\\\t\\\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\\\n\\\\t\\\\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\\\\n\\\\t#endif\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",points_frag:\\\\\\\"uniform vec3 diffuse;\\\\nuniform float opacity;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec3 outgoingLight = vec3( 0.0 );\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\toutgoingLight = diffuseColor.rgb;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",shadow_vert:\\\\\\\"#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",shadow_frag:\\\\\\\"uniform vec3 color;\\\\nuniform float opacity;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\tgl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",sprite_vert:\\\\\\\"uniform float rotation;\\\\nuniform vec2 center;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );\\\\n\\\\tvec2 scale;\\\\n\\\\tscale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );\\\\n\\\\tscale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );\\\\n\\\\t#ifndef USE_SIZEATTENUATION\\\\n\\\\t\\\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\\\n\\\\t\\\\tif ( isPerspective ) scale *= - mvPosition.z;\\\\n\\\\t#endif\\\\n\\\\tvec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;\\\\n\\\\tvec2 rotatedPosition;\\\\n\\\\trotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;\\\\n\\\\trotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;\\\\n\\\\tmvPosition.xy += rotatedPosition;\\\\n\\\\tgl_Position = projectionMatrix * mvPosition;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\",sprite_frag:\\\\\\\"uniform vec3 diffuse;\\\\nuniform float opacity;\\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\n#include \\\\nvoid main() {\\\\n\\\\t#include \\\\n\\\\tvec3 outgoingLight = vec3( 0.0 );\\\\n\\\\tvec4 diffuseColor = vec4( diffuse, opacity );\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\toutgoingLight = diffuseColor.rgb;\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n}\\\\\\\"},KT={common:{diffuse:{value:new $w(16777215)},opacity:{value:1},map:{value:null},uvTransform:{value:new mb},uv2Transform:{value:new mb},alphaMap:{value:null},alphaTest:{value:0}},specularmap:{specularMap:{value:null}},envmap:{envMap:{value:null},flipEnvMap:{value:-1},reflectivity:{value:1},ior:{value:1.5},refractionRatio:{value:.98},maxMipLevel:{value:0}},aomap:{aoMap:{value:null},aoMapIntensity:{value:1}},lightmap:{lightMap:{value:null},lightMapIntensity:{value:1}},emissivemap:{emissiveMap:{value:null}},bumpmap:{bumpMap:{value:null},bumpScale:{value:1}},normalmap:{normalMap:{value:null},normalScale:{value:new _b(1,1)}},displacementmap:{displacementMap:{value:null},displacementScale:{value:1},displacementBias:{value:0}},roughnessmap:{roughnessMap:{value:null}},metalnessmap:{metalnessMap:{value:null}},gradientmap:{gradientMap:{value:null}},fog:{fogDensity:{value:25e-5},fogNear:{value:1},fogFar:{value:2e3},fogColor:{value:new $w(16777215)}},lights:{ambientLightColor:{value:[]},lightProbe:{value:[]},directionalLights:{value:[],properties:{direction:{},color:{}}},directionalLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},directionalShadowMap:{value:[]},directionalShadowMatrix:{value:[]},spotLights:{value:[],properties:{color:{},position:{},direction:{},distance:{},coneCos:{},penumbraCos:{},decay:{}}},spotLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{}}},spotShadowMap:{value:[]},spotShadowMatrix:{value:[]},pointLights:{value:[],properties:{color:{},position:{},decay:{},distance:{}}},pointLightShadows:{value:[],properties:{shadowBias:{},shadowNormalBias:{},shadowRadius:{},shadowMapSize:{},shadowCameraNear:{},shadowCameraFar:{}}},pointShadowMap:{value:[]},pointShadowMatrix:{value:[]},hemisphereLights:{value:[],properties:{direction:{},skyColor:{},groundColor:{}}},rectAreaLights:{value:[],properties:{color:{},position:{},width:{},height:{}}},ltc_1:{value:null},ltc_2:{value:null}},points:{diffuse:{value:new $w(16777215)},opacity:{value:1},size:{value:1},scale:{value:1},map:{value:null},alphaMap:{value:null},alphaTest:{value:0},uvTransform:{value:new mb}},sprite:{diffuse:{value:new $w(16777215)},opacity:{value:1},center:{value:new _b(.5,.5)},rotation:{value:0},map:{value:null},alphaMap:{value:null},alphaTest:{value:0},uvTransform:{value:new mb}}},QT={basic:{uniforms:PT([KT.common,KT.specularmap,KT.envmap,KT.aomap,KT.lightmap,KT.fog]),vertexShader:ZT.meshbasic_vert,fragmentShader:ZT.meshbasic_frag},lambert:{uniforms:PT([KT.common,KT.specularmap,KT.envmap,KT.aomap,KT.lightmap,KT.emissivemap,KT.fog,KT.lights,{emissive:{value:new $w(0)}}]),vertexShader:ZT.meshlambert_vert,fragmentShader:ZT.meshlambert_frag},phong:{uniforms:PT([KT.common,KT.specularmap,KT.envmap,KT.aomap,KT.lightmap,KT.emissivemap,KT.bumpmap,KT.normalmap,KT.displacementmap,KT.fog,KT.lights,{emissive:{value:new $w(0)},specular:{value:new 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c=l.buffer,h=l.type,u=l.bytesPerElement;if(r.isInterleavedBufferAttribute){const n=r.data,l=n.stride,d=r.offset;if(n&&n.isInstancedInterleavedBuffer){for(let t=0;t0&&t.getShaderPrecisionFormat(35632,36338).precision>0)return\\\\\\\"highp\\\\\\\";e=\\\\\\\"mediump\\\\\\\"}return\\\\\\\"mediump\\\\\\\"===e&&t.getShaderPrecisionFormat(35633,36337).precision>0&&t.getShaderPrecisionFormat(35632,36337).precision>0?\\\\\\\"mediump\\\\\\\":\\\\\\\"lowp\\\\\\\"}const r=\\\\\\\"undefined\\\\\\\"!=typeof WebGL2RenderingContext&&t instanceof WebGL2RenderingContext||\\\\\\\"undefined\\\\\\\"!=typeof WebGL2ComputeRenderingContext&&t instanceof WebGL2ComputeRenderingContext;let o=void 0!==n.precision?n.precision:\\\\\\\"highp\\\\\\\";const a=s(o);a!==o&&(console.warn(\\\\\\\"THREE.WebGLRenderer:\\\\\\\",o,\\\\\\\"not supported, using\\\\\\\",a,\\\\\\\"instead.\\\\\\\"),o=a);const l=r||e.has(\\\\\\\"WEBGL_draw_buffers\\\\\\\"),c=!0===n.logarithmicDepthBuffer,h=t.getParameter(34930),u=t.getParameter(35660),d=t.getParameter(3379),p=t.getParameter(34076),_=t.getParameter(34921),m=t.getParameter(36347),f=t.getParameter(36348),g=t.getParameter(36349),v=u>0,y=r||e.has(\\\\\\\"OES_texture_float\\\\\\\");return{isWebGL2:r,drawBuffers:l,getMaxAnisotropy:function(){if(void 0!==i)return i;if(!0===e.has(\\\\\\\"EXT_texture_filter_anisotropic\\\\\\\")){const n=e.get(\\\\\\\"EXT_texture_filter_anisotropic\\\\\\\");i=t.getParameter(n.MAX_TEXTURE_MAX_ANISOTROPY_EXT)}else i=0;return i},getMaxPrecision:s,precision:o,logarithmicDepthBuffer:c,maxTextures:h,maxVertexTextures:u,maxTextureSize:d,maxCubemapSize:p,maxAttributes:_,maxVertexUniforms:m,maxVaryings:f,maxFragmentUniforms:g,vertexTextures:v,floatFragmentTextures:y,floatVertexTextures:v&&y,maxSamples:r?t.getParameter(36183):0}}function sA(t){const e=this;let n=null,i=0,s=!1,r=!1;const o=new jT,a=new mb,l={value:null,needsUpdate:!1};function c(){l.value!==n&&(l.value=n,l.needsUpdate=i>0),e.numPlanes=i,e.numIntersection=0}function h(t,n,i,s){const r=null!==t?t.length:0;let c=null;if(0!==r){if(c=l.value,!0!==s||null===c){const e=i+4*r,s=n.matrixWorldInverse;a.getNormalMatrix(s),(null===c||c.length0){const o=t.getRenderTarget(),a=new UT(r.height/2);return a.fromEquirectangularTexture(t,s),e.set(s,a),t.setRenderTarget(o),s.addEventListener(\\\\\\\"dispose\\\\\\\",i),n(a.texture,s.mapping)}return null}}}return s},dispose:function(){e=new WeakMap}}}QT.physical={uniforms:PT([QT.standard.uniforms,{clearcoat:{value:0},clearcoatMap:{value:null},clearcoatRoughness:{value:0},clearcoatRoughnessMap:{value:null},clearcoatNormalScale:{value:new _b(1,1)},clearcoatNormalMap:{value:null},sheen:{value:0},sheenTint:{value:new $w(0)},sheenRoughness:{value:0},transmission:{value:0},transmissionMap:{value:null},transmissionSamplerSize:{value:new _b},transmissionSamplerMap:{value:null},thickness:{value:0},thicknessMap:{value:null},attenuationDistance:{value:0},attenuationTint:{value:new $w(0)},specularIntensity:{value:0},specularIntensityMap:{value:null},specularTint:{value:new $w(1,1,1)},specularTintMap:{value:null}}]),vertexShader:ZT.meshphysical_vert,fragmentShader:ZT.meshphysical_frag};class oA extends FT{constructor(t=-1,e=1,n=1,i=-1,s=.1,r=2e3){super(),this.type=\\\\\\\"OrthographicCamera\\\\\\\",this.zoom=1,this.view=null,this.left=t,this.right=e,this.top=n,this.bottom=i,this.near=s,this.far=r,this.updateProjectionMatrix()}copy(t,e){return super.copy(t,e),this.left=t.left,this.right=t.right,this.top=t.top,this.bottom=t.bottom,this.near=t.near,this.far=t.far,this.zoom=t.zoom,this.view=null===t.view?null:Object.assign({},t.view),this}setViewOffset(t,e,n,i,s,r){null===this.view&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=t,this.view.fullHeight=e,this.view.offsetX=n,this.view.offsetY=i,this.view.width=s,this.view.height=r,this.updateProjectionMatrix()}clearViewOffset(){null!==this.view&&(this.view.enabled=!1),this.updateProjectionMatrix()}updateProjectionMatrix(){const t=(this.right-this.left)/(2*this.zoom),e=(this.top-this.bottom)/(2*this.zoom),n=(this.right+this.left)/2,i=(this.top+this.bottom)/2;let s=n-t,r=n+t,o=i+e,a=i-e;if(null!==this.view&&this.view.enabled){const t=(this.right-this.left)/this.view.fullWidth/this.zoom,e=(this.top-this.bottom)/this.view.fullHeight/this.zoom;s+=t*this.view.offsetX,r=s+t*this.view.width,o-=e*this.view.offsetY,a=o-e*this.view.height}this.projectionMatrix.makeOrthographic(s,r,o,a,this.near,this.far),this.projectionMatrixInverse.copy(this.projectionMatrix).invert()}toJSON(t){const e=super.toJSON(t);return e.object.zoom=this.zoom,e.object.left=this.left,e.object.right=this.right,e.object.top=this.top,e.object.bottom=this.bottom,e.object.near=this.near,e.object.far=this.far,null!==this.view&&(e.object.view=Object.assign({},this.view)),e}}oA.prototype.isOrthographicCamera=!0;class aA extends IT{constructor(t){super(t),this.type=\\\\\\\"RawShaderMaterial\\\\\\\"}}aA.prototype.isRawShaderMaterial=!0;const lA=Math.pow(2,8),cA=[.125,.215,.35,.446,.526,.582],hA=5+cA.length,uA=20,dA={[qx]:0,[Xx]:1,[$x]:2,3004:3,3005:4,3006:5,[Yx]:6},pA=new oA,{_lodPlanes:_A,_sizeLods:mA,_sigmas:fA}=AA(),gA=new $w;let vA=null;const yA=(1+Math.sqrt(5))/2,xA=1/yA,bA=[new Sb(1,1,1),new Sb(-1,1,1),new Sb(1,1,-1),new Sb(-1,1,-1),new Sb(0,yA,xA),new Sb(0,yA,-xA),new Sb(xA,0,yA),new Sb(-xA,0,yA),new Sb(yA,xA,0),new Sb(-yA,xA,0)];class wA{constructor(t){this._renderer=t,this._pingPongRenderTarget=null,this._blurMaterial=function(t){const e=new Float32Array(t),n=new Sb(0,1,0);return new aA({name:\\\\\\\"SphericalGaussianBlur\\\\\\\",defines:{n:t},uniforms:{envMap:{value:null},samples:{value:1},weights:{value:e},latitudinal:{value:!1},dTheta:{value:0},mipInt:{value:0},poleAxis:{value:n},inputEncoding:{value:dA[3e3]},outputEncoding:{value:dA[3e3]}},vertexShader:NA(),fragmentShader:`\\\\n\\\\n\\\\t\\\\t\\\\tprecision mediump float;\\\\n\\\\t\\\\t\\\\tprecision mediump int;\\\\n\\\\n\\\\t\\\\t\\\\tvarying vec3 vOutputDirection;\\\\n\\\\n\\\\t\\\\t\\\\tuniform sampler2D envMap;\\\\n\\\\t\\\\t\\\\tuniform int samples;\\\\n\\\\t\\\\t\\\\tuniform float weights[ n ];\\\\n\\\\t\\\\t\\\\tuniform bool latitudinal;\\\\n\\\\t\\\\t\\\\tuniform float dTheta;\\\\n\\\\t\\\\t\\\\tuniform float mipInt;\\\\n\\\\t\\\\t\\\\tuniform vec3 poleAxis;\\\\n\\\\n\\\\t\\\\t\\\\t${LA()}\\\\n\\\\n\\\\t\\\\t\\\\t#define ENVMAP_TYPE_CUBE_UV\\\\n\\\\t\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t\\\\tvec3 getSample( float theta, vec3 axis ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfloat cosTheta = cos( theta );\\\\n\\\\t\\\\t\\\\t\\\\t// Rodrigues' axis-angle rotation\\\\n\\\\t\\\\t\\\\t\\\\tvec3 sampleDirection = vOutputDirection * cosTheta\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t+ cross( axis, vOutputDirection ) * sin( theta )\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t+ axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn bilinearCubeUV( envMap, sampleDirection, mipInt );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tif ( all( equal( axis, vec3( 0.0 ) ) ) ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\taxis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\taxis = normalize( axis );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfor ( int i = 1; i < n; i++ ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tif ( i >= samples ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tbreak;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat theta = dTheta * float( i );\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis );\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb += weights[ i ] * getSample( theta, axis );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = linearToOutputTexel( gl_FragColor );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t`,blending:0,depthTest:!1,depthWrite:!1})}(uA),this._equirectShader=null,this._cubemapShader=null,this._compileMaterial(this._blurMaterial)}fromScene(t,e=0,n=.1,i=100){vA=this._renderer.getRenderTarget();const s=this._allocateTargets();return this._sceneToCubeUV(t,n,i,s),e>0&&this._blur(s,0,0,e),this._applyPMREM(s),this._cleanup(s),s}fromEquirectangular(t){return this._fromTexture(t)}fromCubemap(t){return this._fromTexture(t)}compileCubemapShader(){null===this._cubemapShader&&(this._cubemapShader=CA(),this._compileMaterial(this._cubemapShader))}compileEquirectangularShader(){null===this._equirectShader&&(this._equirectShader=SA(),this._compileMaterial(this._equirectShader))}dispose(){this._blurMaterial.dispose(),null!==this._cubemapShader&&this._cubemapShader.dispose(),null!==this._equirectShader&&this._equirectShader.dispose();for(let t=0;t<_A.length;t++)_A[t].dispose()}_cleanup(t){this._pingPongRenderTarget.dispose(),this._renderer.setRenderTarget(vA),t.scissorTest=!1,EA(t,0,0,t.width,t.height)}_fromTexture(t){vA=this._renderer.getRenderTarget();const e=this._allocateTargets(t);return this._textureToCubeUV(t,e),this._applyPMREM(e),this._cleanup(e),e}_allocateTargets(t){const e={magFilter:Tx,minFilter:Tx,generateMipmaps:!1,type:Nx,format:1023,encoding:TA(t)?t.encoding:$x,depthBuffer:!1},n=MA(e);return n.depthBuffer=!t,this._pingPongRenderTarget=MA(e),n}_compileMaterial(t){const e=new CT(_A[0],t);this._renderer.compile(e,pA)}_sceneToCubeUV(t,e,n,i){const s=new DT(90,1,e,n),r=[1,-1,1,1,1,1],o=[1,1,1,-1,-1,-1],a=this._renderer,l=a.autoClear,c=a.outputEncoding,h=a.toneMapping;a.getClearColor(gA),a.toneMapping=0,a.outputEncoding=qx,a.autoClear=!1;const u=new Jw({name:\\\\\\\"PMREM.Background\\\\\\\",side:1,depthWrite:!1,depthTest:!1}),d=new CT(new LT,u);let p=!1;const _=t.background;_?_.isColor&&(u.color.copy(_),t.background=null,p=!0):(u.color.copy(gA),p=!0);for(let e=0;e<6;e++){const n=e%3;0==n?(s.up.set(0,r[e],0),s.lookAt(o[e],0,0)):1==n?(s.up.set(0,0,r[e]),s.lookAt(0,o[e],0)):(s.up.set(0,r[e],0),s.lookAt(0,0,o[e])),EA(i,n*lA,e>2?lA:0,lA,lA),a.setRenderTarget(i),p&&a.render(d,s),a.render(t,s)}d.geometry.dispose(),d.material.dispose(),a.toneMapping=h,a.outputEncoding=c,a.autoClear=l,t.background=_}_setEncoding(t,e){!0===this._renderer.capabilities.isWebGL2&&e.format===Dx&&e.type===Nx&&e.encoding===Xx?t.value=dA[3e3]:t.value=dA[e.encoding]}_textureToCubeUV(t,e){const n=this._renderer;t.isCubeTexture?null==this._cubemapShader&&(this._cubemapShader=CA()):null==this._equirectShader&&(this._equirectShader=SA());const i=t.isCubeTexture?this._cubemapShader:this._equirectShader,s=new CT(_A[0],i),r=i.uniforms;r.envMap.value=t,t.isCubeTexture||r.texelSize.value.set(1/t.image.width,1/t.image.height),this._setEncoding(r.inputEncoding,t),this._setEncoding(r.outputEncoding,e.texture),EA(e,0,0,3*lA,2*lA),n.setRenderTarget(e),n.render(s,pA)}_applyPMREM(t){const e=this._renderer,n=e.autoClear;e.autoClear=!1;for(let e=1;euA&&console.warn(`sigmaRadians, ${s}, is too large and will clip, as it requested ${_} samples when the maximum is set to 20`);const m=[];let f=0;for(let t=0;t4?i-8+4:0),3*g,2*g),a.setRenderTarget(e),a.render(c,pA)}}function TA(t){return void 0!==t&&t.type===Nx&&(t.encoding===qx||t.encoding===Xx||t.encoding===Yx)}function AA(){const t=[],e=[],n=[];let i=8;for(let s=0;s4?o=cA[s-8+4-1]:0==s&&(o=0),n.push(o);const a=1/(r-1),l=-a/2,c=1+a/2,h=[l,l,c,l,c,c,l,l,c,c,l,c],u=6,d=6,p=3,_=2,m=1,f=new Float32Array(p*d*u),g=new Float32Array(_*d*u),v=new Float32Array(m*d*u);for(let t=0;t2?0:-1,i=[e,n,0,e+2/3,n,0,e+2/3,n+1,0,e,n,0,e+2/3,n+1,0,e,n+1,0];f.set(i,p*d*t),g.set(h,_*d*t);const s=[t,t,t,t,t,t];v.set(s,m*d*t)}const y=new hT;y.setAttribute(\\\\\\\"position\\\\\\\",new Qw(f,p)),y.setAttribute(\\\\\\\"uv\\\\\\\",new Qw(g,_)),y.setAttribute(\\\\\\\"faceIndex\\\\\\\",new Qw(v,m)),t.push(y),i>4&&i--}return{_lodPlanes:t,_sizeLods:e,_sigmas:n}}function MA(t){const e=new Ab(3*lA,3*lA,t);return e.texture.mapping=vx,e.texture.name=\\\\\\\"PMREM.cubeUv\\\\\\\",e.scissorTest=!0,e}function EA(t,e,n,i,s){t.viewport.set(e,n,i,s),t.scissor.set(e,n,i,s)}function SA(){const t=new _b(1,1);return new aA({name:\\\\\\\"EquirectangularToCubeUV\\\\\\\",uniforms:{envMap:{value:null},texelSize:{value:t},inputEncoding:{value:dA[3e3]},outputEncoding:{value:dA[3e3]}},vertexShader:NA(),fragmentShader:`\\\\n\\\\n\\\\t\\\\t\\\\tprecision mediump float;\\\\n\\\\t\\\\t\\\\tprecision mediump int;\\\\n\\\\n\\\\t\\\\t\\\\tvarying vec3 vOutputDirection;\\\\n\\\\n\\\\t\\\\t\\\\tuniform sampler2D envMap;\\\\n\\\\t\\\\t\\\\tuniform vec2 texelSize;\\\\n\\\\n\\\\t\\\\t\\\\t${LA()}\\\\n\\\\n\\\\t\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec3 outputDirection = normalize( vOutputDirection );\\\\n\\\\t\\\\t\\\\t\\\\tvec2 uv = equirectUv( outputDirection );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec2 f = fract( uv / texelSize - 0.5 );\\\\n\\\\t\\\\t\\\\t\\\\tuv -= f * texelSize;\\\\n\\\\t\\\\t\\\\t\\\\tvec3 tl = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tuv.x += texelSize.x;\\\\n\\\\t\\\\t\\\\t\\\\tvec3 tr = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tuv.y += texelSize.y;\\\\n\\\\t\\\\t\\\\t\\\\tvec3 br = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tuv.x -= texelSize.x;\\\\n\\\\t\\\\t\\\\t\\\\tvec3 bl = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvec3 tm = mix( tl, tr, f.x );\\\\n\\\\t\\\\t\\\\t\\\\tvec3 bm = mix( bl, br, f.x );\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb = mix( tm, bm, f.y );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = linearToOutputTexel( gl_FragColor );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t`,blending:0,depthTest:!1,depthWrite:!1})}function CA(){return new aA({name:\\\\\\\"CubemapToCubeUV\\\\\\\",uniforms:{envMap:{value:null},inputEncoding:{value:dA[3e3]},outputEncoding:{value:dA[3e3]}},vertexShader:NA(),fragmentShader:`\\\\n\\\\n\\\\t\\\\t\\\\tprecision mediump float;\\\\n\\\\t\\\\t\\\\tprecision mediump int;\\\\n\\\\n\\\\t\\\\t\\\\tvarying vec3 vOutputDirection;\\\\n\\\\n\\\\t\\\\t\\\\tuniform samplerCube envMap;\\\\n\\\\n\\\\t\\\\t\\\\t${LA()}\\\\n\\\\n\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb = envMapTexelToLinear( textureCube( envMap, vec3( - vOutputDirection.x, vOutputDirection.yz ) ) ).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor = linearToOutputTexel( gl_FragColor );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t`,blending:0,depthTest:!1,depthWrite:!1})}function NA(){return\\\\\\\"\\\\n\\\\n\\\\t\\\\tprecision mediump float;\\\\n\\\\t\\\\tprecision mediump int;\\\\n\\\\n\\\\t\\\\tattribute vec3 position;\\\\n\\\\t\\\\tattribute vec2 uv;\\\\n\\\\t\\\\tattribute float faceIndex;\\\\n\\\\n\\\\t\\\\tvarying vec3 vOutputDirection;\\\\n\\\\n\\\\t\\\\t// RH coordinate system; PMREM face-indexing convention\\\\n\\\\t\\\\tvec3 getDirection( vec2 uv, float face ) {\\\\n\\\\n\\\\t\\\\t\\\\tuv = 2.0 * uv - 1.0;\\\\n\\\\n\\\\t\\\\t\\\\tvec3 direction = vec3( uv, 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\tif ( face == 0.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection = direction.zyx; // ( 1, v, u ) pos x\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 1.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection = direction.xzy;\\\\n\\\\t\\\\t\\\\t\\\\tdirection.xz *= -1.0; // ( -u, 1, -v ) pos y\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 2.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection.x *= -1.0; // ( -u, v, 1 ) pos z\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 3.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection = direction.zyx;\\\\n\\\\t\\\\t\\\\t\\\\tdirection.xz *= -1.0; // ( -1, v, -u ) neg x\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 4.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection = direction.xzy;\\\\n\\\\t\\\\t\\\\t\\\\tdirection.xy *= -1.0; // ( -u, -1, v ) neg y\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( face == 5.0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tdirection.z *= -1.0; // ( u, v, -1 ) neg z\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\treturn direction;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvOutputDirection = getDirection( uv, faceIndex );\\\\n\\\\t\\\\t\\\\tgl_Position = vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\\\\"}function LA(){return\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform int inputEncoding;\\\\n\\\\t\\\\tuniform int outputEncoding;\\\\n\\\\n\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\tvec4 inputTexelToLinear( vec4 value ) {\\\\n\\\\n\\\\t\\\\t\\\\tif ( inputEncoding == 0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn value;\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 1 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn sRGBToLinear( value );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 2 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn RGBEToLinear( value );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 3 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn RGBMToLinear( value, 7.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 4 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn RGBMToLinear( value, 16.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( inputEncoding == 5 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn RGBDToLinear( value, 256.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn GammaToLinear( value, 2.2 );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvec4 linearToOutputTexel( vec4 value ) {\\\\n\\\\n\\\\t\\\\t\\\\tif ( outputEncoding == 0 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn value;\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 1 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearTosRGB( value );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 2 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToRGBE( value );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 3 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToRGBM( value, 7.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 4 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToRGBM( value, 16.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else if ( outputEncoding == 5 ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToRGBD( value, 256.0 );\\\\n\\\\n\\\\t\\\\t\\\\t} else {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\treturn LinearToGamma( value, 2.2 );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvec4 envMapTexelToLinear( vec4 color ) {\\\\n\\\\n\\\\t\\\\t\\\\treturn inputTexelToLinear( color );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\\\\"}function OA(t){let e=new WeakMap,n=null;function i(t){const n=t.target;n.removeEventListener(\\\\\\\"dispose\\\\\\\",i);const s=e.get(n);void 0!==s&&(e.delete(n),s.dispose())}return{get:function(s){if(s&&s.isTexture&&!1===s.isRenderTargetTexture){const r=s.mapping,o=r===fx||r===gx,a=r===_x||r===mx;if(o||a){if(e.has(s))return e.get(s).texture;{const r=s.image;if(o&&r&&r.height>0||a&&r&&function(t){let e=0;const n=6;for(let i=0;i65535?eT:tT)(n,1);a.version=o;const l=r.get(t);l&&e.remove(l),r.set(t,a)}return{get:function(t,e){return!0===s[e.id]||(e.addEventListener(\\\\\\\"dispose\\\\\\\",o),s[e.id]=!0,n.memory.geometries++),e},update:function(t){const n=t.attributes;for(const t in n)e.update(n[t],34962);const i=t.morphAttributes;for(const t in i){const n=i[t];for(let t=0,i=n.length;te.maxTextureSize&&(u=Math.ceil(h/e.maxTextureSize),h=e.maxTextureSize);const d=new Float32Array(h*u*4*i),p=new DA(d,h,u,i);p.format=Dx,p.type=Px;const _=4*l;for(let 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0!==r.depthPacking&&r.depthPacking,index0AttributeName:r.index0AttributeName,extensionDerivatives:r.extensions&&r.extensions.derivatives,extensionFragDepth:r.extensions&&r.extensions.fragDepth,extensionDrawBuffers:r.extensions&&r.extensions.drawBuffers,extensionShaderTextureLOD:r.extensions&&r.extensions.shaderTextureLOD,rendererExtensionFragDepth:l||i.has(\\\\\\\"EXT_frag_depth\\\\\\\"),rendererExtensionDrawBuffers:l||i.has(\\\\\\\"WEBGL_draw_buffers\\\\\\\"),rendererExtensionShaderTextureLod:l||i.has(\\\\\\\"EXT_shader_texture_lod\\\\\\\"),customProgramCacheKey:r.customProgramCacheKey()}},getProgramCacheKey:function(e){const n=[];if(e.shaderID?n.push(e.shaderID):(n.push(e.fragmentShader),n.push(e.vertexShader)),void 0!==e.defines)for(const t in e.defines)n.push(t),n.push(e.defines[t]);if(!1===e.isRawShaderMaterial){for(let t=0;t0?s.push(h):!0===n.transparent?r.push(h):i.push(h)},unshift:function(t,e,n,o,l,c){const h=a(t,e,n,o,l,c);n.transmission>0?s.unshift(h):!0===n.transparent?r.unshift(h):i.unshift(h)},finish:function(){for(let t=n,i=e.length;t1&&i.sort(t||pE),s.length>1&&s.sort(e||_E),r.length>1&&r.sort(e||_E)}}}function fE(t){let e=new WeakMap;return{get:function(n,i){let s;return!1===e.has(n)?(s=new mE(t),e.set(n,[s])):i>=e.get(n).length?(s=new mE(t),e.get(n).push(s)):s=e.get(n)[i],s},dispose:function(){e=new WeakMap}}}function gE(){const t={};return{get:function(e){if(void 0!==t[e.id])return t[e.id];let n;switch(e.type){case\\\\\\\"DirectionalLight\\\\\\\":n={direction:new Sb,color:new $w};break;case\\\\\\\"SpotLight\\\\\\\":n={position:new Sb,direction:new Sb,color:new $w,distance:0,coneCos:0,penumbraCos:0,decay:0};break;case\\\\\\\"PointLight\\\\\\\":n={position:new Sb,color:new $w,distance:0,decay:0};break;case\\\\\\\"HemisphereLight\\\\\\\":n={direction:new Sb,skyColor:new $w,groundColor:new $w};break;case\\\\\\\"RectAreaLight\\\\\\\":n={color:new $w,position:new Sb,halfWidth:new Sb,halfHeight:new Sb}}return t[e.id]=n,n}}}let vE=0;function yE(t,e){return(e.castShadow?1:0)-(t.castShadow?1:0)}function xE(t,e){const n=new gE,i=function(){const t={};return{get:function(e){if(void 0!==t[e.id])return t[e.id];let n;switch(e.type){case\\\\\\\"DirectionalLight\\\\\\\":case\\\\\\\"SpotLight\\\\\\\":n={shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new _b};break;case\\\\\\\"PointLight\\\\\\\":n={shadowBias:0,shadowNormalBias:0,shadowRadius:1,shadowMapSize:new _b,shadowCameraNear:1,shadowCameraFar:1e3}}return t[e.id]=n,n}}}(),s={version:0,hash:{directionalLength:-1,pointLength:-1,spotLength:-1,rectAreaLength:-1,hemiLength:-1,numDirectionalShadows:-1,numPointShadows:-1,numSpotShadows:-1},ambient:[0,0,0],probe:[],directional:[],directionalShadow:[],directionalShadowMap:[],directionalShadowMatrix:[],spot:[],spotShadow:[],spotShadowMap:[],spotShadowMatrix:[],rectArea:[],rectAreaLTC1:null,rectAreaLTC2:null,point:[],pointShadow:[],pointShadowMap:[],pointShadowMatrix:[],hemi:[]};for(let t=0;t<9;t++)s.probe.push(new Sb);const r=new Sb,o=new sw,a=new sw;return{setup:function(r,o){let a=0,l=0,c=0;for(let t=0;t<9;t++)s.probe[t].set(0,0,0);let h=0,u=0,d=0,p=0,_=0,m=0,f=0,g=0;r.sort(yE);const v=!0!==o?Math.PI:1;for(let t=0,e=r.length;t0&&(e.isWebGL2||!0===t.has(\\\\\\\"OES_texture_float_linear\\\\\\\")?(s.rectAreaLTC1=KT.LTC_FLOAT_1,s.rectAreaLTC2=KT.LTC_FLOAT_2):!0===t.has(\\\\\\\"OES_texture_half_float_linear\\\\\\\")?(s.rectAreaLTC1=KT.LTC_HALF_1,s.rectAreaLTC2=KT.LTC_HALF_2):console.error(\\\\\\\"THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.\\\\\\\")),s.ambient[0]=a,s.ambient[1]=l,s.ambient[2]=c;const y=s.hash;y.directionalLength===h&&y.pointLength===u&&y.spotLength===d&&y.rectAreaLength===p&&y.hemiLength===_&&y.numDirectionalShadows===m&&y.numPointShadows===f&&y.numSpotShadows===g||(s.directional.length=h,s.spot.length=d,s.rectArea.length=p,s.point.length=u,s.hemi.length=_,s.directionalShadow.length=m,s.directionalShadowMap.length=m,s.pointShadow.length=f,s.pointShadowMap.length=f,s.spotShadow.length=g,s.spotShadowMap.length=g,s.directionalShadowMatrix.length=m,s.pointShadowMatrix.length=f,s.spotShadowMatrix.length=g,y.directionalLength=h,y.pointLength=u,y.spotLength=d,y.rectAreaLength=p,y.hemiLength=_,y.numDirectionalShadows=m,y.numPointShadows=f,y.numSpotShadows=g,s.version=vE++)},setupView:function(t,e){let n=0,i=0,l=0,c=0,h=0;const u=e.matrixWorldInverse;for(let e=0,d=t.length;e=n.get(i).length?(r=new bE(t,e),n.get(i).push(r)):r=n.get(i)[s],r},dispose:function(){n=new WeakMap}}}class TE extends Vw{constructor(t){super(),this.type=\\\\\\\"MeshDepthMaterial\\\\\\\",this.depthPacking=3200,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.fog=!1,this.setValues(t)}copy(t){return super.copy(t),this.depthPacking=t.depthPacking,this.map=t.map,this.alphaMap=t.alphaMap,this.displacementMap=t.displacementMap,this.displacementScale=t.displacementScale,this.displacementBias=t.displacementBias,this.wireframe=t.wireframe,this.wireframeLinewidth=t.wireframeLinewidth,this}}TE.prototype.isMeshDepthMaterial=!0;class AE extends Vw{constructor(t){super(),this.type=\\\\\\\"MeshDistanceMaterial\\\\\\\",this.referencePosition=new Sb,this.nearDistance=1,this.farDistance=1e3,this.map=null,this.alphaMap=null,this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.fog=!1,this.setValues(t)}copy(t){return super.copy(t),this.referencePosition.copy(t.referencePosition),this.nearDistance=t.nearDistance,this.farDistance=t.farDistance,this.map=t.map,this.alphaMap=t.alphaMap,this.displacementMap=t.displacementMap,this.displacementScale=t.displacementScale,this.displacementBias=t.displacementBias,this}}AE.prototype.isMeshDistanceMaterial=!0;function ME(t,e,n){let i=new XT;const s=new _b,r=new _b,o=new Tb,a=new TE({depthPacking:3201}),l=new AE,c={},h=n.maxTextureSize,u={0:1,1:0,2:2},d=new IT({uniforms:{shadow_pass:{value:null},resolution:{value:new _b},radius:{value:4},samples:{value:8}},vertexShader:\\\\\\\"void main() {\\\\n\\\\tgl_Position = vec4( position, 1.0 );\\\\n}\\\\\\\",fragmentShader:\\\\\\\"uniform sampler2D shadow_pass;\\\\nuniform vec2 resolution;\\\\nuniform float radius;\\\\nuniform float samples;\\\\n#include \\\\nvoid main() {\\\\n\\\\tfloat mean = 0.0;\\\\n\\\\tfloat squared_mean = 0.0;\\\\n\\\\tfloat uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 );\\\\n\\\\tfloat uvStart = samples <= 1.0 ? 0.0 : - 1.0;\\\\n\\\\tfor ( float i = 0.0; i < samples; i ++ ) {\\\\n\\\\t\\\\tfloat uvOffset = uvStart + i * uvStride;\\\\n\\\\t\\\\t#ifdef HORIZONTAL_PASS\\\\n\\\\t\\\\t\\\\tvec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) );\\\\n\\\\t\\\\t\\\\tmean += distribution.x;\\\\n\\\\t\\\\t\\\\tsquared_mean += distribution.y * distribution.y + distribution.x * distribution.x;\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\tfloat depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) );\\\\n\\\\t\\\\t\\\\tmean += depth;\\\\n\\\\t\\\\t\\\\tsquared_mean += depth * depth;\\\\n\\\\t\\\\t#endif\\\\n\\\\t}\\\\n\\\\tmean = mean / samples;\\\\n\\\\tsquared_mean = squared_mean / samples;\\\\n\\\\tfloat std_dev = sqrt( squared_mean - mean * mean );\\\\n\\\\tgl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );\\\\n}\\\\\\\"}),p=d.clone();p.defines.HORIZONTAL_PASS=1;const _=new hT;_.setAttribute(\\\\\\\"position\\\\\\\",new Qw(new Float32Array([-1,-1,.5,3,-1,.5,-1,3,.5]),3));const m=new CT(_,d),f=this;function g(n,i){const s=e.update(m);d.uniforms.shadow_pass.value=n.map.texture,d.uniforms.resolution.value=n.mapSize,d.uniforms.radius.value=n.radius,d.uniforms.samples.value=n.blurSamples,t.setRenderTarget(n.mapPass),t.clear(),t.renderBufferDirect(i,null,s,d,m,null),p.uniforms.shadow_pass.value=n.mapPass.texture,p.uniforms.resolution.value=n.mapSize,p.uniforms.radius.value=n.radius,p.uniforms.samples.value=n.blurSamples,t.setRenderTarget(n.map),t.clear(),t.renderBufferDirect(i,null,s,p,m,null)}function v(e,n,i,s,r,o,h){let d=null;const p=!0===s.isPointLight?e.customDistanceMaterial:e.customDepthMaterial;if(d=void 0!==p?p:!0===s.isPointLight?l:a,t.localClippingEnabled&&!0===i.clipShadows&&0!==i.clippingPlanes.length||i.displacementMap&&0!==i.displacementScale||i.alphaMap&&i.alphaTest>0){const t=d.uuid,e=i.uuid;let n=c[t];void 0===n&&(n={},c[t]=n);let s=n[e];void 0===s&&(s=d.clone(),n[e]=s),d=s}return d.visible=i.visible,d.wireframe=i.wireframe,d.side=3===h?null!==i.shadowSide?i.shadowSide:i.side:null!==i.shadowSide?i.shadowSide:u[i.side],d.alphaMap=i.alphaMap,d.alphaTest=i.alphaTest,d.clipShadows=i.clipShadows,d.clippingPlanes=i.clippingPlanes,d.clipIntersection=i.clipIntersection,d.displacementMap=i.displacementMap,d.displacementScale=i.displacementScale,d.displacementBias=i.displacementBias,d.wireframeLinewidth=i.wireframeLinewidth,d.linewidth=i.linewidth,!0===s.isPointLight&&!0===d.isMeshDistanceMaterial&&(d.referencePosition.setFromMatrixPosition(s.matrixWorld),d.nearDistance=r,d.farDistance=o),d}function y(n,s,r,o,a){if(!1===n.visible)return;if(n.layers.test(s.layers)&&(n.isMesh||n.isLine||n.isPoints)&&(n.castShadow||n.receiveShadow&&3===a)&&(!n.frustumCulled||i.intersectsObject(n))){n.modelViewMatrix.multiplyMatrices(r.matrixWorldInverse,n.matrixWorld);const i=e.update(n),s=n.material;if(Array.isArray(s)){const e=i.groups;for(let l=0,c=e.length;lh||s.y>h)&&(s.x>h&&(r.x=Math.floor(h/p.x),s.x=r.x*p.x,u.mapSize.x=r.x),s.y>h&&(r.y=Math.floor(h/p.y),s.y=r.y*p.y,u.mapSize.y=r.y)),null===u.map&&!u.isPointLightShadow&&3===this.type){const t={minFilter:Ex,magFilter:Ex,format:Dx};u.map=new Ab(s.x,s.y,t),u.map.texture.name=c.name+\\\\\\\".shadowMap\\\\\\\",u.mapPass=new Ab(s.x,s.y,t),u.camera.updateProjectionMatrix()}if(null===u.map){const t={minFilter:Tx,magFilter:Tx,format:Dx};u.map=new Ab(s.x,s.y,t),u.map.texture.name=c.name+\\\\\\\".shadowMap\\\\\\\",u.camera.updateProjectionMatrix()}t.setRenderTarget(u.map),t.clear();const _=u.getViewportCount();for(let t=0;t<_;t++){const e=u.getViewport(t);o.set(r.x*e.x,r.y*e.y,r.x*e.z,r.y*e.w),d.viewport(o),u.updateMatrices(c,t),i=u.getFrustum(),y(n,a,u.camera,c,this.type)}u.isPointLightShadow||3!==this.type||g(u,a),u.needsUpdate=!1}f.needsUpdate=!1,t.setRenderTarget(l,c,u)}}function EE(t,e,n){const i=n.isWebGL2;const s=new function(){let e=!1;const n=new Tb;let i=null;const s=new Tb(0,0,0,0);return{setMask:function(n){i===n||e||(t.colorMask(n,n,n,n),i=n)},setLocked:function(t){e=t},setClear:function(e,i,r,o,a){!0===a&&(e*=o,i*=o,r*=o),n.set(e,i,r,o),!1===s.equals(n)&&(t.clearColor(e,i,r,o),s.copy(n))},reset:function(){e=!1,i=null,s.set(-1,0,0,0)}}},r=new function(){let e=!1,n=null,i=null,s=null;return{setTest:function(t){t?B(2929):z(2929)},setMask:function(i){n===i||e||(t.depthMask(i),n=i)},setFunc:function(e){if(i!==e){if(e)switch(e){case 0:t.depthFunc(512);break;case 1:t.depthFunc(519);break;case 2:t.depthFunc(513);break;case 3:t.depthFunc(515);break;case 4:t.depthFunc(514);break;case 5:t.depthFunc(518);break;case 6:t.depthFunc(516);break;case 7:t.depthFunc(517);break;default:t.depthFunc(515)}else t.depthFunc(515);i=e}},setLocked:function(t){e=t},setClear:function(e){s!==e&&(t.clearDepth(e),s=e)},reset:function(){e=!1,n=null,i=null,s=null}}},o=new function(){let e=!1,n=null,i=null,s=null,r=null,o=null,a=null,l=null,c=null;return{setTest:function(t){e||(t?B(2960):z(2960))},setMask:function(i){n===i||e||(t.stencilMask(i),n=i)},setFunc:function(e,n,o){i===e&&s===n&&r===o||(t.stencilFunc(e,n,o),i=e,s=n,r=o)},setOp:function(e,n,i){o===e&&a===n&&l===i||(t.stencilOp(e,n,i),o=e,a=n,l=i)},setLocked:function(t){e=t},setClear:function(e){c!==e&&(t.clearStencil(e),c=e)},reset:function(){e=!1,n=null,i=null,s=null,r=null,o=null,a=null,l=null,c=null}}};let a={},l=null,c={},h=null,u=!1,d=null,p=null,_=null,m=null,f=null,g=null,v=null,y=!1,x=null,b=null,w=null,T=null,A=null;const M=t.getParameter(35661);let E=!1,S=0;const C=t.getParameter(7938);-1!==C.indexOf(\\\\\\\"WebGL\\\\\\\")?(S=parseFloat(/^WebGL (\\\\d)/.exec(C)[1]),E=S>=1):-1!==C.indexOf(\\\\\\\"OpenGL ES\\\\\\\")&&(S=parseFloat(/^OpenGL ES (\\\\d)/.exec(C)[1]),E=S>=2);let N=null,L={};const O=t.getParameter(3088),P=t.getParameter(2978),R=(new Tb).fromArray(O),I=(new Tb).fromArray(P);function F(e,n,i){const s=new Uint8Array(4),r=t.createTexture();t.bindTexture(e,r),t.texParameteri(e,10241,9728),t.texParameteri(e,10240,9728);for(let e=0;ei||t.height>i)&&(s=i/Math.max(t.width,t.height)),s<1||!0===e){if(\\\\\\\"undefined\\\\\\\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\\\\\\\"undefined\\\\\\\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\\\\\\\"undefined\\\\\\\"!=typeof ImageBitmap&&t instanceof ImageBitmap){const i=e?db:Math.floor,r=i(s*t.width),o=i(s*t.height);void 0===p&&(p=m(r,o));const a=n?m(r,o):p;a.width=r,a.height=o;return a.getContext(\\\\\\\"2d\\\\\\\").drawImage(t,0,0,r,o),console.warn(\\\\\\\"THREE.WebGLRenderer: Texture has been resized from (\\\\\\\"+t.width+\\\\\\\"x\\\\\\\"+t.height+\\\\\\\") to (\\\\\\\"+r+\\\\\\\"x\\\\\\\"+o+\\\\\\\").\\\\\\\"),a}return\\\\\\\"data\\\\\\\"in t&&console.warn(\\\\\\\"THREE.WebGLRenderer: Image in DataTexture is too big (\\\\\\\"+t.width+\\\\\\\"x\\\\\\\"+t.height+\\\\\\\").\\\\\\\"),t}return t}function g(t){return hb(t.width)&&hb(t.height)}function v(t,e){return t.generateMipmaps&&e&&t.minFilter!==Tx&&t.minFilter!==Ex}function y(e,n,s,r,o=1){t.generateMipmap(e);i.get(n).__maxMipLevel=Math.log2(Math.max(s,r,o))}function x(n,i,s,r){if(!1===a)return i;if(null!==n){if(void 0!==t[n])return t[n];console.warn(\\\\\\\"THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format '\\\\\\\"+n+\\\\\\\"'\\\\\\\")}let o=i;return 6403===i&&(5126===s&&(o=33326),5131===s&&(o=33325),5121===s&&(o=33321)),6407===i&&(5126===s&&(o=34837),5131===s&&(o=34843),5121===s&&(o=32849)),6408===i&&(5126===s&&(o=34836),5131===s&&(o=34842),5121===s&&(o=r===Xx?35907:32856)),33325!==o&&33326!==o&&34842!==o&&34836!==o||e.get(\\\\\\\"EXT_color_buffer_float\\\\\\\"),o}function b(t){return t===Tx||t===Ax||t===Mx?9728:9729}function w(e){const n=e.target;n.removeEventListener(\\\\\\\"dispose\\\\\\\",w),function(e){const n=i.get(e);if(void 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e=0,s=n.length;e0&&s.__version!==t.version){const n=t.image;if(void 0===n)console.warn(\\\\\\\"THREE.WebGLRenderer: Texture marked for update but image is undefined\\\\\\\");else{if(!1!==n.complete)return void O(s,t,e);console.warn(\\\\\\\"THREE.WebGLRenderer: Texture marked for update but image is incomplete\\\\\\\")}}n.activeTexture(33984+e),n.bindTexture(3553,s.__webglTexture)}function E(e,s){const o=i.get(e);e.version>0&&o.__version!==e.version?function(e,i,s){if(6!==i.image.length)return;L(e,i),n.activeTexture(33984+s),n.bindTexture(34067,e.__webglTexture),t.pixelStorei(37440,i.flipY),t.pixelStorei(37441,i.premultiplyAlpha),t.pixelStorei(3317,i.unpackAlignment),t.pixelStorei(37443,0);const o=i&&(i.isCompressedTexture||i.image[0].isCompressedTexture),l=i.image[0]&&i.image[0].isDataTexture,h=[];for(let t=0;t<6;t++)h[t]=o||l?l?i.image[t].image:i.image[t]:f(i.image[t],!1,!0,c);const u=h[0],d=g(u)||a,p=r.convert(i.format),_=r.convert(i.type),m=x(i.internalFormat,p,_,i.encoding);let b;if(N(34067,i,d),o){for(let t=0;t<6;t++){b=h[t].mipmaps;for(let e=0;e1||i.get(r).__currentAnisotropy)&&(t.texParameterf(n,o.TEXTURE_MAX_ANISOTROPY_EXT,Math.min(r.anisotropy,s.getMaxAnisotropy())),i.get(r).__currentAnisotropy=r.anisotropy)}}function L(e,n){void 0===e.__webglInit&&(e.__webglInit=!0,n.addEventListener(\\\\\\\"dispose\\\\\\\",w),e.__webglTexture=t.createTexture(),o.memory.textures++)}function O(e,i,s){let o=3553;i.isDataTexture2DArray&&(o=35866),i.isDataTexture3D&&(o=32879),L(e,i),n.activeTexture(33984+s),n.bindTexture(o,e.__webglTexture),t.pixelStorei(37440,i.flipY),t.pixelStorei(37441,i.premultiplyAlpha),t.pixelStorei(3317,i.unpackAlignment),t.pixelStorei(37443,0);const l=function(t){return!a&&(t.wrapS!==bx||t.wrapT!==bx||t.minFilter!==Tx&&t.minFilter!==Ex)}(i)&&!1===g(i.image),c=f(i.image,l,!1,h),u=g(c)||a,d=r.convert(i.format);let p,_=r.convert(i.type),m=x(i.internalFormat,d,_,i.encoding);N(o,i,u);const 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s=i.get(t);t.version>0&&s.__version!==t.version?O(s,t,e):(n.activeTexture(33984+e),n.bindTexture(35866,s.__webglTexture))},this.setTexture3D=function(t,e){const s=i.get(t);t.version>0&&s.__version!==t.version?O(s,t,e):(n.activeTexture(33984+e),n.bindTexture(32879,s.__webglTexture))},this.setTextureCube=E,this.setupRenderTarget=function(e){const l=e.texture,c=i.get(e),h=i.get(l);e.addEventListener(\\\\\\\"dispose\\\\\\\",T),!0!==e.isWebGLMultipleRenderTargets&&(h.__webglTexture=t.createTexture(),h.__version=l.version,o.memory.textures++);const u=!0===e.isWebGLCubeRenderTarget,d=!0===e.isWebGLMultipleRenderTargets,p=!0===e.isWebGLMultisampleRenderTarget,_=l.isDataTexture3D||l.isDataTexture2DArray,m=g(e)||a;if(!a||l.format!==Fx||l.type!==Px&&l.type!==Rx||(l.format=Dx,console.warn(\\\\\\\"THREE.WebGLRenderer: Rendering to textures with RGB format is not supported. Using RGBA format instead.\\\\\\\")),u){c.__webglFramebuffer=[];for(let e=0;e<6;e++)c.__webglFramebuffer[e]=t.createFramebuffer()}else if(c.__webglFramebuffer=t.createFramebuffer(),d)if(s.drawBuffers){const n=e.texture;for(let e=0,s=n.length;ea+c?(l.inputState.pinching=!1,this.dispatchEvent({type:\\\\\\\"pinchend\\\\\\\",handedness:t.handedness,target:this})):!l.inputState.pinching&&o<=a-c&&(l.inputState.pinching=!0,this.dispatchEvent({type:\\\\\\\"pinchstart\\\\\\\",handedness:t.handedness,target:this}))}else null!==a&&t.gripSpace&&(s=e.getPose(t.gripSpace,n),null!==s&&(a.matrix.fromArray(s.transform.matrix),a.matrix.decompose(a.position,a.rotation,a.scale),s.linearVelocity?(a.hasLinearVelocity=!0,a.linearVelocity.copy(s.linearVelocity)):a.hasLinearVelocity=!1,s.angularVelocity?(a.hasAngularVelocity=!0,a.angularVelocity.copy(s.angularVelocity)):a.hasAngularVelocity=!1));return null!==o&&(o.visible=null!==i),null!==a&&(a.visible=null!==s),null!==l&&(l.visible=null!==r),this}}class RE extends tb{constructor(t,e){super();const n=this,i=t.state;let s=null,r=1,o=null,a=\\\\\\\"local-floor\\\\\\\",l=null,c=null,h=null,u=null,d=null,p=!1,_=null,m=null,f=null,g=null,v=null,y=null;const x=[],b=new Map,w=new DT;w.layers.enable(1),w.viewport=new Tb;const T=new DT;T.layers.enable(2),T.viewport=new Tb;const A=[w,T],M=new NE;M.layers.enable(1),M.layers.enable(2);let E=null,S=null;function C(t){const e=b.get(t.inputSource);e&&e.dispatchEvent({type:t.type,data:t.inputSource})}function N(){b.forEach((function(t,e){t.disconnect(e)})),b.clear(),E=null,S=null,i.bindXRFramebuffer(null),t.setRenderTarget(t.getRenderTarget()),h&&e.deleteFramebuffer(h),_&&e.deleteFramebuffer(_),m&&e.deleteRenderbuffer(m),f&&e.deleteRenderbuffer(f),h=null,_=null,m=null,f=null,d=null,u=null,c=null,s=null,F.stop(),n.isPresenting=!1,n.dispatchEvent({type:\\\\\\\"sessionend\\\\\\\"})}function L(t){const e=s.inputSources;for(let t=0;t0&&(e.alphaTest.value=n.alphaTest);const i=t.get(n).envMap;if(i){e.envMap.value=i,e.flipEnvMap.value=i.isCubeTexture&&!1===i.isRenderTargetTexture?-1:1,e.reflectivity.value=n.reflectivity,e.ior.value=n.ior,e.refractionRatio.value=n.refractionRatio;const s=t.get(i).__maxMipLevel;void 0!==s&&(e.maxMipLevel.value=s)}let s,r;n.lightMap&&(e.lightMap.value=n.lightMap,e.lightMapIntensity.value=n.lightMapIntensity),n.aoMap&&(e.aoMap.value=n.aoMap,e.aoMapIntensity.value=n.aoMapIntensity),n.map?s=n.map:n.specularMap?s=n.specularMap:n.displacementMap?s=n.displacementMap:n.normalMap?s=n.normalMap:n.bumpMap?s=n.bumpMap:n.roughnessMap?s=n.roughnessMap:n.metalnessMap?s=n.metalnessMap:n.alphaMap?s=n.alphaMap:n.emissiveMap?s=n.emissiveMap:n.clearcoatMap?s=n.clearcoatMap:n.clearcoatNormalMap?s=n.clearcoatNormalMap:n.clearcoatRoughnessMap?s=n.clearcoatRoughnessMap:n.specularIntensityMap?s=n.specularIntensityMap:n.specularTintMap?s=n.specularTintMap:n.transmissionMap?s=n.transmissionMap:n.thicknessMap&&(s=n.thicknessMap),void 0!==s&&(s.isWebGLRenderTarget&&(s=s.texture),!0===s.matrixAutoUpdate&&s.updateMatrix(),e.uvTransform.value.copy(s.matrix)),n.aoMap?r=n.aoMap:n.lightMap&&(r=n.lightMap),void 0!==r&&(r.isWebGLRenderTarget&&(r=r.texture),!0===r.matrixAutoUpdate&&r.updateMatrix(),e.uv2Transform.value.copy(r.matrix))}function n(e,n){e.roughness.value=n.roughness,e.metalness.value=n.metalness,n.roughnessMap&&(e.roughnessMap.value=n.roughnessMap),n.metalnessMap&&(e.metalnessMap.value=n.metalnessMap),n.emissiveMap&&(e.emissiveMap.value=n.emissiveMap),n.bumpMap&&(e.bumpMap.value=n.bumpMap,e.bumpScale.value=n.bumpScale,1===n.side&&(e.bumpScale.value*=-1)),n.normalMap&&(e.normalMap.value=n.normalMap,e.normalScale.value.copy(n.normalScale),1===n.side&&e.normalScale.value.negate()),n.displacementMap&&(e.displacementMap.value=n.displacementMap,e.displacementScale.value=n.displacementScale,e.displacementBias.value=n.displacementBias);t.get(n).envMap&&(e.envMapIntensity.value=n.envMapIntensity)}return{refreshFogUniforms:function(t,e){t.fogColor.value.copy(e.color),e.isFog?(t.fogNear.value=e.near,t.fogFar.value=e.far):e.isFogExp2&&(t.fogDensity.value=e.density)},refreshMaterialUniforms:function(t,i,s,r,o){i.isMeshBasicMaterial?e(t,i):i.isMeshLambertMaterial?(e(t,i),function(t,e){e.emissiveMap&&(t.emissiveMap.value=e.emissiveMap)}(t,i)):i.isMeshToonMaterial?(e(t,i),function(t,e){e.gradientMap&&(t.gradientMap.value=e.gradientMap);e.emissiveMap&&(t.emissiveMap.value=e.emissiveMap);e.bumpMap&&(t.bumpMap.value=e.bumpMap,t.bumpScale.value=e.bumpScale,1===e.side&&(t.bumpScale.value*=-1));e.normalMap&&(t.normalMap.value=e.normalMap,t.normalScale.value.copy(e.normalScale),1===e.side&&t.normalScale.value.negate());e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isMeshPhongMaterial?(e(t,i),function(t,e){t.specular.value.copy(e.specular),t.shininess.value=Math.max(e.shininess,1e-4),e.emissiveMap&&(t.emissiveMap.value=e.emissiveMap);e.bumpMap&&(t.bumpMap.value=e.bumpMap,t.bumpScale.value=e.bumpScale,1===e.side&&(t.bumpScale.value*=-1));e.normalMap&&(t.normalMap.value=e.normalMap,t.normalScale.value.copy(e.normalScale),1===e.side&&t.normalScale.value.negate());e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isMeshStandardMaterial?(e(t,i),i.isMeshPhysicalMaterial?function(t,e,i){n(t,e),t.ior.value=e.ior,e.sheen>0&&(t.sheenTint.value.copy(e.sheenTint).multiplyScalar(e.sheen),t.sheenRoughness.value=e.sheenRoughness);e.clearcoat>0&&(t.clearcoat.value=e.clearcoat,t.clearcoatRoughness.value=e.clearcoatRoughness,e.clearcoatMap&&(t.clearcoatMap.value=e.clearcoatMap),e.clearcoatRoughnessMap&&(t.clearcoatRoughnessMap.value=e.clearcoatRoughnessMap),e.clearcoatNormalMap&&(t.clearcoatNormalScale.value.copy(e.clearcoatNormalScale),t.clearcoatNormalMap.value=e.clearcoatNormalMap,1===e.side&&t.clearcoatNormalScale.value.negate()));e.transmission>0&&(t.transmission.value=e.transmission,t.transmissionSamplerMap.value=i.texture,t.transmissionSamplerSize.value.set(i.width,i.height),e.transmissionMap&&(t.transmissionMap.value=e.transmissionMap),t.thickness.value=e.thickness,e.thicknessMap&&(t.thicknessMap.value=e.thicknessMap),t.attenuationDistance.value=e.attenuationDistance,t.attenuationTint.value.copy(e.attenuationTint));t.specularIntensity.value=e.specularIntensity,t.specularTint.value.copy(e.specularTint),e.specularIntensityMap&&(t.specularIntensityMap.value=e.specularIntensityMap);e.specularTintMap&&(t.specularTintMap.value=e.specularTintMap)}(t,i,o):n(t,i)):i.isMeshMatcapMaterial?(e(t,i),function(t,e){e.matcap&&(t.matcap.value=e.matcap);e.bumpMap&&(t.bumpMap.value=e.bumpMap,t.bumpScale.value=e.bumpScale,1===e.side&&(t.bumpScale.value*=-1));e.normalMap&&(t.normalMap.value=e.normalMap,t.normalScale.value.copy(e.normalScale),1===e.side&&t.normalScale.value.negate());e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isMeshDepthMaterial?(e(t,i),function(t,e){e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isMeshDistanceMaterial?(e(t,i),function(t,e){e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias);t.referencePosition.value.copy(e.referencePosition),t.nearDistance.value=e.nearDistance,t.farDistance.value=e.farDistance}(t,i)):i.isMeshNormalMaterial?(e(t,i),function(t,e){e.bumpMap&&(t.bumpMap.value=e.bumpMap,t.bumpScale.value=e.bumpScale,1===e.side&&(t.bumpScale.value*=-1));e.normalMap&&(t.normalMap.value=e.normalMap,t.normalScale.value.copy(e.normalScale),1===e.side&&t.normalScale.value.negate());e.displacementMap&&(t.displacementMap.value=e.displacementMap,t.displacementScale.value=e.displacementScale,t.displacementBias.value=e.displacementBias)}(t,i)):i.isLineBasicMaterial?(function(t,e){t.diffuse.value.copy(e.color),t.opacity.value=e.opacity}(t,i),i.isLineDashedMaterial&&function(t,e){t.dashSize.value=e.dashSize,t.totalSize.value=e.dashSize+e.gapSize,t.scale.value=e.scale}(t,i)):i.isPointsMaterial?function(t,e,n,i){t.diffuse.value.copy(e.color),t.opacity.value=e.opacity,t.size.value=e.size*n,t.scale.value=.5*i,e.map&&(t.map.value=e.map);e.alphaMap&&(t.alphaMap.value=e.alphaMap);e.alphaTest>0&&(t.alphaTest.value=e.alphaTest);let s;e.map?s=e.map:e.alphaMap&&(s=e.alphaMap);void 0!==s&&(!0===s.matrixAutoUpdate&&s.updateMatrix(),t.uvTransform.value.copy(s.matrix))}(t,i,s,r):i.isSpriteMaterial?function(t,e){t.diffuse.value.copy(e.color),t.opacity.value=e.opacity,t.rotation.value=e.rotation,e.map&&(t.map.value=e.map);e.alphaMap&&(t.alphaMap.value=e.alphaMap);e.alphaTest>0&&(t.alphaTest.value=e.alphaTest);let n;e.map?n=e.map:e.alphaMap&&(n=e.alphaMap);void 0!==n&&(!0===n.matrixAutoUpdate&&n.updateMatrix(),t.uvTransform.value.copy(n.matrix))}(t,i):i.isShadowMaterial?(t.color.value.copy(i.color),t.opacity.value=i.opacity):i.isShaderMaterial&&(i.uniformsNeedUpdate=!1)}}}function FE(t={}){const e=void 0!==t.canvas?t.canvas:function(){const t=gb(\\\\\\\"canvas\\\\\\\");return t.style.display=\\\\\\\"block\\\\\\\",t}(),n=void 0!==t.context?t.context:null,i=void 0!==t.alpha&&t.alpha,s=void 0===t.depth||t.depth,r=void 0===t.stencil||t.stencil,o=void 0!==t.antialias&&t.antialias,a=void 0===t.premultipliedAlpha||t.premultipliedAlpha,l=void 0!==t.preserveDrawingBuffer&&t.preserveDrawingBuffer,c=void 0!==t.powerPreference?t.powerPreference:\\\\\\\"default\\\\\\\",h=void 0!==t.failIfMajorPerformanceCaveat&&t.failIfMajorPerformanceCaveat;let u=null,d=null;const p=[],_=[];this.domElement=e,this.debug={checkShaderErrors:!0},this.autoClear=!0,this.autoClearColor=!0,this.autoClearDepth=!0,this.autoClearStencil=!0,this.sortObjects=!0,this.clippingPlanes=[],this.localClippingEnabled=!1,this.gammaFactor=2,this.outputEncoding=qx,this.physicallyCorrectLights=!1,this.toneMapping=0,this.toneMappingExposure=1;const m=this;let f=!1,g=0,v=0,y=null,x=-1,b=null;const w=new Tb,T=new Tb;let A=null,M=e.width,E=e.height,S=1,C=null,N=null;const L=new Tb(0,0,M,E),O=new Tb(0,0,M,E);let P=!1;const R=[],I=new XT;let F=!1,D=!1,B=null;const z=new sw,k=new Sb,U={background:null,fog:null,environment:null,overrideMaterial:null,isScene:!0};function G(){return null===y?S:1}let V,H,j,W,q,X,Y,$,J,Z,K,Q,tt,et,nt,it,st,rt,ot,at,lt,ct,ht,ut=n;function dt(t,n){for(let i=0;i0&&function(t,e,n){if(null===B){const t=!0===o&&!0===H.isWebGL2;B=new(t?Mb:Ab)(1024,1024,{generateMipmaps:!0,type:null!==ct.convert(Rx)?Rx:Nx,minFilter:Cx,magFilter:Tx,wrapS:bx,wrapT:bx})}const i=m.getRenderTarget();m.setRenderTarget(B),m.clear();const s=m.toneMapping;m.toneMapping=0,At(t,e,n),m.toneMapping=s,X.updateMultisampleRenderTarget(B),X.updateRenderTargetMipmap(B),m.setRenderTarget(i)}(s,e,n),i&&j.viewport(w.copy(i)),s.length>0&&At(s,e,n),r.length>0&&At(r,e,n),a.length>0&&At(a,e,n)}function At(t,e,n){const i=!0===e.isScene?e.overrideMaterial:null;for(let s=0,r=t.length;s0?_[_.length-1]:null,p.pop(),u=p.length>0?p[p.length-1]:null},this.getActiveCubeFace=function(){return g},this.getActiveMipmapLevel=function(){return v},this.getRenderTarget=function(){return y},this.setRenderTarget=function(t,e=0,n=0){y=t,g=e,v=n,t&&void 0===q.get(t).__webglFramebuffer&&X.setupRenderTarget(t);let 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s=e.image.width,r=e.image.height,o=ct.convert(n.format),a=ct.convert(n.type);X.setTexture2D(n,0),ut.pixelStorei(37440,n.flipY),ut.pixelStorei(37441,n.premultiplyAlpha),ut.pixelStorei(3317,n.unpackAlignment),e.isDataTexture?ut.texSubImage2D(3553,i,t.x,t.y,s,r,o,a,e.image.data):e.isCompressedTexture?ut.compressedTexSubImage2D(3553,i,t.x,t.y,e.mipmaps[0].width,e.mipmaps[0].height,o,e.mipmaps[0].data):ut.texSubImage2D(3553,i,t.x,t.y,o,a,e.image),0===i&&n.generateMipmaps&&ut.generateMipmap(3553),j.unbindTexture()},this.copyTextureToTexture3D=function(t,e,n,i,s=0){if(m.isWebGL1Renderer)return void console.warn(\\\\\\\"THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2.\\\\\\\");const r=t.max.x-t.min.x+1,o=t.max.y-t.min.y+1,a=t.max.z-t.min.z+1,l=ct.convert(i.format),c=ct.convert(i.type);let h;if(i.isDataTexture3D)X.setTexture3D(i,0),h=32879;else{if(!i.isDataTexture2DArray)return void console.warn(\\\\\\\"THREE.WebGLRenderer.copyTextureToTexture3D: only supports 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srcTexture.\\\\\\\"),ut.compressedTexSubImage3D(h,s,e.x,e.y,e.z,r,o,a,l,g.data)):ut.texSubImage3D(h,s,e.x,e.y,e.z,r,o,a,l,c,g),ut.pixelStorei(3314,u),ut.pixelStorei(32878,d),ut.pixelStorei(3316,p),ut.pixelStorei(3315,_),ut.pixelStorei(32877,f),0===s&&i.generateMipmaps&&ut.generateMipmap(h),j.unbindTexture()},this.initTexture=function(t){X.setTexture2D(t,0),j.unbindTexture()},this.resetState=function(){g=0,v=0,y=null,j.reset(),ht.reset()},\\\\\\\"undefined\\\\\\\"!=typeof __THREE_DEVTOOLS__&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent(\\\\\\\"observe\\\\\\\",{detail:this}))}(class extends FE{}).prototype.isWebGL1Renderer=!0;class DE{constructor(t,e=25e-5){this.name=\\\\\\\"\\\\\\\",this.color=new $w(t),this.density=e}clone(){return new DE(this.color,this.density)}toJSON(){return{type:\\\\\\\"FogExp2\\\\\\\",color:this.color.getHex(),density:this.density}}}DE.prototype.isFogExp2=!0;class BE{constructor(t,e=1,n=1e3){this.name=\\\\\\\"\\\\\\\",this.color=new $w(t),this.near=e,this.far=n}clone(){return new BE(this.color,this.near,this.far)}toJSON(){return{type:\\\\\\\"Fog\\\\\\\",color:this.color.getHex(),near:this.near,far:this.far}}}BE.prototype.isFog=!0;class zE extends Nw{constructor(){super(),this.type=\\\\\\\"Scene\\\\\\\",this.background=null,this.environment=null,this.fog=null,this.overrideMaterial=null,this.autoUpdate=!0,\\\\\\\"undefined\\\\\\\"!=typeof __THREE_DEVTOOLS__&&__THREE_DEVTOOLS__.dispatchEvent(new CustomEvent(\\\\\\\"observe\\\\\\\",{detail:this}))}copy(t,e){return super.copy(t,e),null!==t.background&&(this.background=t.background.clone()),null!==t.environment&&(this.environment=t.environment.clone()),null!==t.fog&&(this.fog=t.fog.clone()),null!==t.overrideMaterial&&(this.overrideMaterial=t.overrideMaterial.clone()),this.autoUpdate=t.autoUpdate,this.matrixAutoUpdate=t.matrixAutoUpdate,this}toJSON(t){const e=super.toJSON(t);return null!==this.fog&&(e.object.fog=this.fog.toJSON()),e}}zE.prototype.isScene=!0;class kE{constructor(t,e){this.array=t,this.stride=e,this.count=void 0!==t?t.length/e:0,this.usage=Zx,this.updateRange={offset:0,count:-1},this.version=0,this.uuid=ob()}onUploadCallback(){}set needsUpdate(t){!0===t&&this.version++}setUsage(t){return this.usage=t,this}copy(t){return this.array=new t.array.constructor(t.array),this.count=t.count,this.stride=t.stride,this.usage=t.usage,this}copyAt(t,e,n){t*=this.stride,n*=e.stride;for(let i=0,s=this.stride;it.far||e.push({distance:a,point:jE.clone(),uv:Uw.getUV(jE,JE,ZE,KE,QE,tS,eS,new _b),face:null,object:this})}copy(t){return super.copy(t),void 0!==t.center&&this.center.copy(t.center),this.material=t.material,this}}function iS(t,e,n,i,s,r){XE.subVectors(t,n).addScalar(.5).multiply(i),void 0!==s?(YE.x=r*XE.x-s*XE.y,YE.y=s*XE.x+r*XE.y):YE.copy(XE),t.copy(e),t.x+=YE.x,t.y+=YE.y,t.applyMatrix4($E)}nS.prototype.isSprite=!0;const sS=new Sb,rS=new Tb,oS=new Tb,aS=new Sb,lS=new sw;class cS extends CT{constructor(t,e){super(t,e),this.type=\\\\\\\"SkinnedMesh\\\\\\\",this.bindMode=\\\\\\\"attached\\\\\\\",this.bindMatrix=new sw,this.bindMatrixInverse=new sw}copy(t){return super.copy(t),this.bindMode=t.bindMode,this.bindMatrix.copy(t.bindMatrix),this.bindMatrixInverse.copy(t.bindMatrixInverse),this.skeleton=t.skeleton,this}bind(t,e){this.skeleton=t,void 0===e&&(this.updateMatrixWorld(!0),this.skeleton.calculateInverses(),e=this.matrixWorld),this.bindMatrix.copy(e),this.bindMatrixInverse.copy(e).invert()}pose(){this.skeleton.pose()}normalizeSkinWeights(){const t=new Tb,e=this.geometry.attributes.skinWeight;for(let n=0,i=e.count;na)continue;u.applyMatrix4(this.matrixWorld);const d=t.ray.origin.distanceTo(u);dt.far||e.push({distance:d,point:h.clone().applyMatrix4(this.matrixWorld),index:n,face:null,faceIndex:null,object:this})}}else{for(let n=Math.max(0,r.start),i=Math.min(s.count,r.start+r.count)-1;na)continue;u.applyMatrix4(this.matrixWorld);const i=t.ray.origin.distanceTo(u);it.far||e.push({distance:i,point:h.clone().applyMatrix4(this.matrixWorld),index:n,face:null,faceIndex:null,object:this})}}}else n.isGeometry&&console.error(\\\\\\\"THREE.Line.raycast() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}updateMorphTargets(){const t=this.geometry;if(t.isBufferGeometry){const e=t.morphAttributes,n=Object.keys(e);if(n.length>0){const t=e[n[0]];if(void 0!==t){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let e=0,n=t.length;e0&&console.error(\\\\\\\"THREE.Line.updateMorphTargets() does not support THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}}}AS.prototype.isLine=!0;const MS=new Sb,ES=new Sb;class SS extends AS{constructor(t,e){super(t,e),this.type=\\\\\\\"LineSegments\\\\\\\"}computeLineDistances(){const t=this.geometry;if(t.isBufferGeometry)if(null===t.index){const e=t.attributes.position,n=[];for(let t=0,i=e.count;t0){const t=e[n[0]];if(void 0!==t){this.morphTargetInfluences=[],this.morphTargetDictionary={};for(let e=0,n=t.length;e0&&console.error(\\\\\\\"THREE.Points.updateMorphTargets() does not support THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\")}}}function FS(t,e,n,i,s,r,o){const a=OS.distanceSqToPoint(t);if(as.far)return;r.push({distance:l,distanceToRay:Math.sqrt(a),point:n,index:e,face:null,object:o})}}IS.prototype.isPoints=!0;(class extends bb{constructor(t,e,n,i,s,r,o,a,l){super(t,e,n,i,s,r,o,a,l),this.format=void 0!==o?o:Fx,this.minFilter=void 0!==r?r:Ex,this.magFilter=void 0!==s?s:Ex,this.generateMipmaps=!1;const c=this;\\\\\\\"requestVideoFrameCallback\\\\\\\"in t&&t.requestVideoFrameCallback((function e(){c.needsUpdate=!0,t.requestVideoFrameCallback(e)}))}clone(){return new this.constructor(this.image).copy(this)}update(){const t=this.image;!1===\\\\\\\"requestVideoFrameCallback\\\\\\\"in t&&t.readyState>=t.HAVE_CURRENT_DATA&&(this.needsUpdate=!0)}}).prototype.isVideoTexture=!0;class DS extends bb{constructor(t,e,n,i,s,r,o,a,l,c,h,u){super(null,r,o,a,l,c,i,s,h,u),this.image={width:e,height:n},this.mipmaps=t,this.flipY=!1,this.generateMipmaps=!1}}DS.prototype.isCompressedTexture=!0;(class extends bb{constructor(t,e,n,i,s,r,o,a,l){super(t,e,n,i,s,r,o,a,l),this.needsUpdate=!0}}).prototype.isCanvasTexture=!0;(class extends bb{constructor(t,e,n,i,s,r,o,a,l,c){if((c=void 0!==c?c:Bx)!==Bx&&c!==zx)throw new Error(\\\\\\\"DepthTexture format must be either THREE.DepthFormat or THREE.DepthStencilFormat\\\\\\\");void 0===n&&c===Bx&&(n=Lx),void 0===n&&c===zx&&(n=Ix),super(null,i,s,r,o,a,c,n,l),this.image={width:t,height:e},this.magFilter=void 0!==o?o:Tx,this.minFilter=void 0!==a?a:Tx,this.flipY=!1,this.generateMipmaps=!1}}).prototype.isDepthTexture=!0;new Sb,new Sb,new Sb,new Uw;class BS{constructor(){this.type=\\\\\\\"Curve\\\\\\\",this.arcLengthDivisions=200}getPoint(){return console.warn(\\\\\\\"THREE.Curve: .getPoint() not implemented.\\\\\\\"),null}getPointAt(t,e){const n=this.getUtoTmapping(t);return this.getPoint(n,e)}getPoints(t=5){const e=[];for(let n=0;n<=t;n++)e.push(this.getPoint(n/t));return e}getSpacedPoints(t=5){const e=[];for(let n=0;n<=t;n++)e.push(this.getPointAt(n/t));return e}getLength(){const t=this.getLengths();return t[t.length-1]}getLengths(t=this.arcLengthDivisions){if(this.cacheArcLengths&&this.cacheArcLengths.length===t+1&&!this.needsUpdate)return this.cacheArcLengths;this.needsUpdate=!1;const e=[];let n,i=this.getPoint(0),s=0;e.push(0);for(let r=1;r<=t;r++)n=this.getPoint(r/t),s+=n.distanceTo(i),e.push(s),i=n;return this.cacheArcLengths=e,e}updateArcLengths(){this.needsUpdate=!0,this.getLengths()}getUtoTmapping(t,e){const n=this.getLengths();let i=0;const s=n.length;let r;r=e||t*n[s-1];let o,a=0,l=s-1;for(;a<=l;)if(i=Math.floor(a+(l-a)/2),o=n[i]-r,o<0)a=i+1;else{if(!(o>0)){l=i;break}l=i-1}if(i=l,n[i]===r)return i/(s-1);const c=n[i];return(i+(r-c)/(n[i+1]-c))/(s-1)}getTangent(t,e){const n=1e-4;let i=t-n,s=t+n;i<0&&(i=0),s>1&&(s=1);const r=this.getPoint(i),o=this.getPoint(s),a=e||(r.isVector2?new _b:new Sb);return a.copy(o).sub(r).normalize(),a}getTangentAt(t,e){const n=this.getUtoTmapping(t);return this.getTangent(n,e)}computeFrenetFrames(t,e){const n=new Sb,i=[],s=[],r=[],o=new Sb,a=new sw;for(let e=0;e<=t;e++){const n=e/t;i[e]=this.getTangentAt(n,new Sb)}s[0]=new Sb,r[0]=new Sb;let l=Number.MAX_VALUE;const c=Math.abs(i[0].x),h=Math.abs(i[0].y),u=Math.abs(i[0].z);c<=l&&(l=c,n.set(1,0,0)),h<=l&&(l=h,n.set(0,1,0)),u<=l&&n.set(0,0,1),o.crossVectors(i[0],n).normalize(),s[0].crossVectors(i[0],o),r[0].crossVectors(i[0],s[0]);for(let e=1;e<=t;e++){if(s[e]=s[e-1].clone(),r[e]=r[e-1].clone(),o.crossVectors(i[e-1],i[e]),o.length()>Number.EPSILON){o.normalize();const t=Math.acos(ab(i[e-1].dot(i[e]),-1,1));s[e].applyMatrix4(a.makeRotationAxis(o,t))}r[e].crossVectors(i[e],s[e])}if(!0===e){let e=Math.acos(ab(s[0].dot(s[t]),-1,1));e/=t,i[0].dot(o.crossVectors(s[0],s[t]))>0&&(e=-e);for(let n=1;n<=t;n++)s[n].applyMatrix4(a.makeRotationAxis(i[n],e*n)),r[n].crossVectors(i[n],s[n])}return{tangents:i,normals:s,binormals:r}}clone(){return(new this.constructor).copy(this)}copy(t){return this.arcLengthDivisions=t.arcLengthDivisions,this}toJSON(){const t={metadata:{version:4.5,type:\\\\\\\"Curve\\\\\\\",generator:\\\\\\\"Curve.toJSON\\\\\\\"}};return t.arcLengthDivisions=this.arcLengthDivisions,t.type=this.type,t}fromJSON(t){return this.arcLengthDivisions=t.arcLengthDivisions,this}}class zS extends BS{constructor(t=0,e=0,n=1,i=1,s=0,r=2*Math.PI,o=!1,a=0){super(),this.type=\\\\\\\"EllipseCurve\\\\\\\",this.aX=t,this.aY=e,this.xRadius=n,this.yRadius=i,this.aStartAngle=s,this.aEndAngle=r,this.aClockwise=o,this.aRotation=a}getPoint(t,e){const n=e||new _b,i=2*Math.PI;let s=this.aEndAngle-this.aStartAngle;const r=Math.abs(s)i;)s-=i;s0?0:(Math.floor(Math.abs(l)/s)+1)*s:0===c&&l===s-1&&(l=s-2,c=1),this.closed||l>0?o=i[(l-1)%s]:(GS.subVectors(i[0],i[1]).add(i[0]),o=GS);const 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xC(t.prev,t,t.next)<0?xC(t,e,t.next)>=0&&xC(t,t.prev,e)>=0:xC(t,e,t.prev)<0||xC(t,t.next,e)<0}function EC(t,e){const n=new NC(t.i,t.x,t.y),i=new NC(e.i,e.x,e.y),s=t.next,r=e.prev;return t.next=e,e.prev=t,n.next=s,s.prev=n,i.next=n,n.prev=i,r.next=i,i.prev=r,i}function SC(t,e,n,i){const s=new NC(t,e,n);return i?(s.next=i.next,s.prev=i,i.next.prev=s,i.next=s):(s.prev=s,s.next=s),s}function CC(t){t.next.prev=t.prev,t.prev.next=t.next,t.prevZ&&(t.prevZ.nextZ=t.nextZ),t.nextZ&&(t.nextZ.prevZ=t.prevZ)}function NC(t,e,n){this.i=t,this.x=e,this.y=n,this.prev=null,this.next=null,this.z=null,this.prevZ=null,this.nextZ=null,this.steiner=!1}class LC{static area(t){const e=t.length;let n=0;for(let i=e-1,s=0;s2&&t[e-1].equals(t[0])&&t.pop()}function PC(t,e){for(let n=0;nNumber.EPSILON){const u=Math.sqrt(h),d=Math.sqrt(l*l+c*c),p=e.x-a/u,_=e.y+o/u,m=((n.x-c/d-p)*c-(n.y+l/d-_)*l)/(o*c-a*l);i=p+o*m-t.x,s=_+a*m-t.y;const f=i*i+s*s;if(f<=2)return new _b(i,s);r=Math.sqrt(f/2)}else{let t=!1;o>Number.EPSILON?l>Number.EPSILON&&(t=!0):o<-Number.EPSILON?l<-Number.EPSILON&&(t=!0):Math.sign(a)===Math.sign(c)&&(t=!0),t?(i=-a,s=o,r=Math.sqrt(h)):(i=o,s=a,r=Math.sqrt(h/2))}return new _b(i/r,s/r)}const O=[];for(let t=0,e=E.length,n=e-1,i=t+1;t=0;t--){const e=t/p,n=h*Math.cos(e*Math.PI/2),i=u*Math.sin(e*Math.PI/2)+d;for(let t=0,e=E.length;t=0;){const i=n;let s=n-1;s<0&&(s=t.length-1);for(let t=0,n=a+2*p;t0!=t>0&&this.version++,this._sheen=t}get clearcoat(){return this._clearcoat}set clearcoat(t){this._clearcoat>0!=t>0&&this.version++,this._clearcoat=t}get transmission(){return this._transmission}set transmission(t){this._transmission>0!=t>0&&this.version++,this._transmission=t}copy(t){return super.copy(t),this.defines={STANDARD:\\\\\\\"\\\\\\\",PHYSICAL:\\\\\\\"\\\\\\\"},this.clearcoat=t.clearcoat,this.clearcoatMap=t.clearcoatMap,this.clearcoatRoughness=t.clearcoatRoughness,this.clearcoatRoughnessMap=t.clearcoatRoughnessMap,this.clearcoatNormalMap=t.clearcoatNormalMap,this.clearcoatNormalScale.copy(t.clearcoatNormalScale),this.ior=t.ior,this.sheen=t.sheen,this.sheenTint.copy(t.sheenTint),this.sheenRoughness=t.sheenRoughness,this.transmission=t.transmission,this.transmissionMap=t.transmissionMap,this.thickness=t.thickness,this.thicknessMap=t.thicknessMap,this.attenuationDistance=t.attenuationDistance,this.attenuationTint.copy(t.attenuationTint),this.specularIntensity=t.specularIntensity,this.specularIntensityMap=t.specularIntensityMap,this.specularTint.copy(t.specularTint),this.specularTintMap=t.specularTintMap,this}}zC.prototype.isMeshPhysicalMaterial=!0;class kC extends Vw{constructor(t){super(),this.type=\\\\\\\"MeshPhongMaterial\\\\\\\",this.color=new $w(16777215),this.specular=new $w(1118481),this.shininess=30,this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new $w(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=0,this.normalScale=new _b(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.combine=0,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap=\\\\\\\"round\\\\\\\",this.wireframeLinejoin=\\\\\\\"round\\\\\\\",this.flatShading=!1,this.setValues(t)}copy(t){return super.copy(t),this.color.copy(t.color),this.specular.copy(t.specular),this.shininess=t.shininess,this.map=t.map,this.lightMap=t.lightMap,this.lightMapIntensity=t.lightMapIntensity,this.aoMap=t.aoMap,this.aoMapIntensity=t.aoMapIntensity,this.emissive.copy(t.emissive),this.emissiveMap=t.emissiveMap,this.emissiveIntensity=t.emissiveIntensity,this.bumpMap=t.bumpMap,this.bumpScale=t.bumpScale,this.normalMap=t.normalMap,this.normalMapType=t.normalMapType,this.normalScale.copy(t.normalScale),this.displacementMap=t.displacementMap,this.displacementScale=t.displacementScale,this.displacementBias=t.displacementBias,this.specularMap=t.specularMap,this.alphaMap=t.alphaMap,this.envMap=t.envMap,this.combine=t.combine,this.reflectivity=t.reflectivity,this.refractionRatio=t.refractionRatio,this.wireframe=t.wireframe,this.wireframeLinewidth=t.wireframeLinewidth,this.wireframeLinecap=t.wireframeLinecap,this.wireframeLinejoin=t.wireframeLinejoin,this.flatShading=t.flatShading,this}}kC.prototype.isMeshPhongMaterial=!0;class UC extends Vw{constructor(t){super(),this.defines={TOON:\\\\\\\"\\\\\\\"},this.type=\\\\\\\"MeshToonMaterial\\\\\\\",this.color=new $w(16777215),this.map=null,this.gradientMap=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new $w(0),this.emissiveIntensity=1,this.emissiveMap=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=0,this.normalScale=new _b(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap=\\\\\\\"round\\\\\\\",this.wireframeLinejoin=\\\\\\\"round\\\\\\\",this.setValues(t)}copy(t){return super.copy(t),this.color.copy(t.color),this.map=t.map,this.gradientMap=t.gradientMap,this.lightMap=t.lightMap,this.lightMapIntensity=t.lightMapIntensity,this.aoMap=t.aoMap,this.aoMapIntensity=t.aoMapIntensity,this.emissive.copy(t.emissive),this.emissiveMap=t.emissiveMap,this.emissiveIntensity=t.emissiveIntensity,this.bumpMap=t.bumpMap,this.bumpScale=t.bumpScale,this.normalMap=t.normalMap,this.normalMapType=t.normalMapType,this.normalScale.copy(t.normalScale),this.displacementMap=t.displacementMap,this.displacementScale=t.displacementScale,this.displacementBias=t.displacementBias,this.alphaMap=t.alphaMap,this.wireframe=t.wireframe,this.wireframeLinewidth=t.wireframeLinewidth,this.wireframeLinecap=t.wireframeLinecap,this.wireframeLinejoin=t.wireframeLinejoin,this}}UC.prototype.isMeshToonMaterial=!0;class GC extends Vw{constructor(t){super(),this.type=\\\\\\\"MeshNormalMaterial\\\\\\\",this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=0,this.normalScale=new _b(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.wireframe=!1,this.wireframeLinewidth=1,this.fog=!1,this.flatShading=!1,this.setValues(t)}copy(t){return super.copy(t),this.bumpMap=t.bumpMap,this.bumpScale=t.bumpScale,this.normalMap=t.normalMap,this.normalMapType=t.normalMapType,this.normalScale.copy(t.normalScale),this.displacementMap=t.displacementMap,this.displacementScale=t.displacementScale,this.displacementBias=t.displacementBias,this.wireframe=t.wireframe,this.wireframeLinewidth=t.wireframeLinewidth,this.flatShading=t.flatShading,this}}GC.prototype.isMeshNormalMaterial=!0;class VC extends Vw{constructor(t){super(),this.type=\\\\\\\"MeshLambertMaterial\\\\\\\",this.color=new $w(16777215),this.map=null,this.lightMap=null,this.lightMapIntensity=1,this.aoMap=null,this.aoMapIntensity=1,this.emissive=new $w(0),this.emissiveIntensity=1,this.emissiveMap=null,this.specularMap=null,this.alphaMap=null,this.envMap=null,this.combine=0,this.reflectivity=1,this.refractionRatio=.98,this.wireframe=!1,this.wireframeLinewidth=1,this.wireframeLinecap=\\\\\\\"round\\\\\\\",this.wireframeLinejoin=\\\\\\\"round\\\\\\\",this.setValues(t)}copy(t){return super.copy(t),this.color.copy(t.color),this.map=t.map,this.lightMap=t.lightMap,this.lightMapIntensity=t.lightMapIntensity,this.aoMap=t.aoMap,this.aoMapIntensity=t.aoMapIntensity,this.emissive.copy(t.emissive),this.emissiveMap=t.emissiveMap,this.emissiveIntensity=t.emissiveIntensity,this.specularMap=t.specularMap,this.alphaMap=t.alphaMap,this.envMap=t.envMap,this.combine=t.combine,this.reflectivity=t.reflectivity,this.refractionRatio=t.refractionRatio,this.wireframe=t.wireframe,this.wireframeLinewidth=t.wireframeLinewidth,this.wireframeLinecap=t.wireframeLinecap,this.wireframeLinejoin=t.wireframeLinejoin,this}}VC.prototype.isMeshLambertMaterial=!0;class HC extends Vw{constructor(t){super(),this.defines={MATCAP:\\\\\\\"\\\\\\\"},this.type=\\\\\\\"MeshMatcapMaterial\\\\\\\",this.color=new $w(16777215),this.matcap=null,this.map=null,this.bumpMap=null,this.bumpScale=1,this.normalMap=null,this.normalMapType=0,this.normalScale=new _b(1,1),this.displacementMap=null,this.displacementScale=1,this.displacementBias=0,this.alphaMap=null,this.flatShading=!1,this.setValues(t)}copy(t){return super.copy(t),this.defines={MATCAP:\\\\\\\"\\\\\\\"},this.color.copy(t.color),this.matcap=t.matcap,this.map=t.map,this.bumpMap=t.bumpMap,this.bumpScale=t.bumpScale,this.normalMap=t.normalMap,this.normalMapType=t.normalMapType,this.normalScale.copy(t.normalScale),this.displacementMap=t.displacementMap,this.displacementScale=t.displacementScale,this.displacementBias=t.displacementBias,this.alphaMap=t.alphaMap,this.flatShading=t.flatShading,this}}HC.prototype.isMeshMatcapMaterial=!0;class jC extends vS{constructor(t){super(),this.type=\\\\\\\"LineDashedMaterial\\\\\\\",this.scale=1,this.dashSize=3,this.gapSize=1,this.setValues(t)}copy(t){return super.copy(t),this.scale=t.scale,this.dashSize=t.dashSize,this.gapSize=t.gapSize,this}}jC.prototype.isLineDashedMaterial=!0;const WC={arraySlice:function(t,e,n){return WC.isTypedArray(t)?new t.constructor(t.subarray(e,void 0!==n?n:t.length)):t.slice(e,n)},convertArray:function(t,e,n){return!t||!n&&t.constructor===e?t:\\\\\\\"number\\\\\\\"==typeof e.BYTES_PER_ELEMENT?new e(t):Array.prototype.slice.call(t)},isTypedArray:function(t){return ArrayBuffer.isView(t)&&!(t instanceof DataView)},getKeyframeOrder:function(t){const e=t.length,n=new Array(e);for(let t=0;t!==e;++t)n[t]=t;return n.sort((function(e,n){return t[e]-t[n]})),n},sortedArray:function(t,e,n){const i=t.length,s=new t.constructor(i);for(let r=0,o=0;o!==i;++r){const i=n[r]*e;for(let n=0;n!==e;++n)s[o++]=t[i+n]}return s},flattenJSON:function(t,e,n,i){let s=1,r=t[0];for(;void 0!==r&&void 0===r[i];)r=t[s++];if(void 0===r)return;let o=r[i];if(void 0!==o)if(Array.isArray(o))do{o=r[i],void 0!==o&&(e.push(r.time),n.push.apply(n,o)),r=t[s++]}while(void 0!==r);else if(void 0!==o.toArray)do{o=r[i],void 0!==o&&(e.push(r.time),o.toArray(n,n.length)),r=t[s++]}while(void 0!==r);else do{o=r[i],void 0!==o&&(e.push(r.time),n.push(o)),r=t[s++]}while(void 0!==r)},subclip:function(t,e,n,i,s=30){const r=t.clone();r.name=e;const o=[];for(let t=0;t=i)){l.push(e.times[t]);for(let n=0;nr.tracks[t].times[0]&&(a=r.tracks[t].times[0]);for(let t=0;t=i.times[u]){const t=u*l+a,e=t+l-a;d=WC.arraySlice(i.values,t,e)}else{const t=i.createInterpolant(),e=a,n=l-a;t.evaluate(r),d=WC.arraySlice(t.resultBuffer,e,n)}if(\\\\\\\"quaternion\\\\\\\"===s){(new Eb).fromArray(d).normalize().conjugate().toArray(d)}const p=o.times.length;for(let t=0;t=s)break t;{const o=e[1];t=s)break e}r=n,n=0}}for(;n>>1;te;)--r;if(++r,0!==s||r!==i){s>=r&&(r=Math.max(r,1),s=r-1);const t=this.getValueSize();this.times=WC.arraySlice(n,s,r),this.values=WC.arraySlice(this.values,s*t,r*t)}return this}validate(){let t=!0;const e=this.getValueSize();e-Math.floor(e)!=0&&(console.error(\\\\\\\"THREE.KeyframeTrack: Invalid value size in track.\\\\\\\",this),t=!1);const n=this.times,i=this.values,s=n.length;0===s&&(console.error(\\\\\\\"THREE.KeyframeTrack: Track is empty.\\\\\\\",this),t=!1);let r=null;for(let e=0;e!==s;e++){const i=n[e];if(\\\\\\\"number\\\\\\\"==typeof i&&isNaN(i)){console.error(\\\\\\\"THREE.KeyframeTrack: Time is not a valid number.\\\\\\\",this,e,i),t=!1;break}if(null!==r&&r>i){console.error(\\\\\\\"THREE.KeyframeTrack: Out of order keys.\\\\\\\",this,e,i,r),t=!1;break}r=i}if(void 0!==i&&WC.isTypedArray(i))for(let e=0,n=i.length;e!==n;++e){const n=i[e];if(isNaN(n)){console.error(\\\\\\\"THREE.KeyframeTrack: Value is not a valid number.\\\\\\\",this,e,n),t=!1;break}}return t}optimize(){const t=WC.arraySlice(this.times),e=WC.arraySlice(this.values),n=this.getValueSize(),i=this.getInterpolation()===Gx,s=t.length-1;let r=1;for(let o=1;o0){t[r]=t[s];for(let t=s*n,i=r*n,o=0;o!==n;++o)e[i+o]=e[t+o];++r}return r!==t.length?(this.times=WC.arraySlice(t,0,r),this.values=WC.arraySlice(e,0,r*n)):(this.times=t,this.values=e),this}clone(){const t=WC.arraySlice(this.times,0),e=WC.arraySlice(this.values,0),n=new(0,this.constructor)(this.name,t,e);return n.createInterpolant=this.createInterpolant,n}}JC.prototype.TimeBufferType=Float32Array,JC.prototype.ValueBufferType=Float32Array,JC.prototype.DefaultInterpolation=Ux;class ZC extends JC{}ZC.prototype.ValueTypeName=\\\\\\\"bool\\\\\\\",ZC.prototype.ValueBufferType=Array,ZC.prototype.DefaultInterpolation=kx,ZC.prototype.InterpolantFactoryMethodLinear=void 0,ZC.prototype.InterpolantFactoryMethodSmooth=void 0;class KC extends JC{}KC.prototype.ValueTypeName=\\\\\\\"color\\\\\\\";class QC extends JC{}QC.prototype.ValueTypeName=\\\\\\\"number\\\\\\\";class tN extends qC{constructor(t,e,n,i){super(t,e,n,i)}interpolate_(t,e,n,i){const s=this.resultBuffer,r=this.sampleValues,o=this.valueSize,a=(n-e)/(i-e);let l=t*o;for(let t=l+o;l!==t;l+=4)Eb.slerpFlat(s,0,r,l-o,r,l,a);return s}}class eN extends JC{InterpolantFactoryMethodLinear(t){return new tN(this.times,this.values,this.getValueSize(),t)}}eN.prototype.ValueTypeName=\\\\\\\"quaternion\\\\\\\",eN.prototype.DefaultInterpolation=Ux,eN.prototype.InterpolantFactoryMethodSmooth=void 0;class nN extends JC{}nN.prototype.ValueTypeName=\\\\\\\"string\\\\\\\",nN.prototype.ValueBufferType=Array,nN.prototype.DefaultInterpolation=kx,nN.prototype.InterpolantFactoryMethodLinear=void 0,nN.prototype.InterpolantFactoryMethodSmooth=void 0;class iN extends JC{}iN.prototype.ValueTypeName=\\\\\\\"vector\\\\\\\";class sN{constructor(t,e=-1,n,i=2500){this.name=t,this.tracks=n,this.duration=e,this.blendMode=i,this.uuid=ob(),this.duration<0&&this.resetDuration()}static parse(t){const e=[],n=t.tracks,i=1/(t.fps||1);for(let t=0,s=n.length;t!==s;++t)e.push(rN(n[t]).scale(i));const s=new this(t.name,t.duration,e,t.blendMode);return s.uuid=t.uuid,s}static toJSON(t){const e=[],n=t.tracks,i={name:t.name,duration:t.duration,tracks:e,uuid:t.uuid,blendMode:t.blendMode};for(let t=0,i=n.length;t!==i;++t)e.push(JC.toJSON(n[t]));return i}static CreateFromMorphTargetSequence(t,e,n,i){const s=e.length,r=[];for(let t=0;t1){const t=r[1];let e=i[t];e||(i[t]=e=[]),e.push(n)}}const r=[];for(const t in i)r.push(this.CreateFromMorphTargetSequence(t,i[t],e,n));return r}static parseAnimation(t,e){if(!t)return console.error(\\\\\\\"THREE.AnimationClip: No animation in JSONLoader data.\\\\\\\"),null;const n=function(t,e,n,i,s){if(0!==n.length){const r=[],o=[];WC.flattenJSON(n,r,o,i),0!==r.length&&s.push(new t(e,r,o))}},i=[],s=t.name||\\\\\\\"default\\\\\\\",r=t.fps||30,o=t.blendMode;let a=t.length||-1;const l=t.hierarchy||[];for(let t=0;t0){this.source.connect(this.filters[0]);for(let t=1,e=this.filters.length;t0){this.source.disconnect(this.filters[0]);for(let t=1,e=this.filters.length;t0&&this._mixBufferRegionAdditive(n,i,this._addIndex*e,1,e);for(let t=e,s=e+e;t!==s;++t)if(n[t]!==n[t+e]){o.setValue(n,i);break}}saveOriginalState(){const t=this.binding,e=this.buffer,n=this.valueSize,i=n*this._origIndex;t.getValue(e,i);for(let t=n,s=i;t!==s;++t)e[t]=e[i+t%n];this._setIdentity(),this.cumulativeWeight=0,this.cumulativeWeightAdditive=0}restoreOriginalState(){const t=3*this.valueSize;this.binding.setValue(this.buffer,t)}_setAdditiveIdentityNumeric(){const t=this._addIndex*this.valueSize,e=t+this.valueSize;for(let n=t;n=.5)for(let i=0;i!==s;++i)t[e+i]=t[n+i]}_slerp(t,e,n,i){Eb.slerpFlat(t,e,t,e,t,n,i)}_slerpAdditive(t,e,n,i,s){const r=this._workIndex*s;Eb.multiplyQuaternionsFlat(t,r,t,e,t,n),Eb.slerpFlat(t,e,t,e,t,r,i)}_lerp(t,e,n,i,s){const r=1-i;for(let o=0;o!==s;++o){const s=e+o;t[s]=t[s]*r+t[n+o]*i}}_lerpAdditive(t,e,n,i,s){for(let r=0;r!==s;++r){const s=e+r;t[s]=t[s]+t[n+r]*i}}}const GN=\\\\\\\"\\\\\\\\[\\\\\\\\]\\\\\\\\.:\\\\\\\\/\\\\\\\",VN=new RegExp(\\\\\\\"[\\\\\\\\[\\\\\\\\]\\\\\\\\.:\\\\\\\\/]\\\\\\\",\\\\\\\"g\\\\\\\"),HN=\\\\\\\"[^\\\\\\\\[\\\\\\\\]\\\\\\\\.:\\\\\\\\/]\\\\\\\",jN=\\\\\\\"[^\\\\\\\"+GN.replace(\\\\\\\"\\\\\\\\.\\\\\\\",\\\\\\\"\\\\\\\")+\\\\\\\"]\\\\\\\",WN=/((?:WC+[\\\\/:])*)/.source.replace(\\\\\\\"WC\\\\\\\",HN),qN=/(WCOD+)?/.source.replace(\\\\\\\"WCOD\\\\\\\",jN),XN=/(?:\\\\.(WC+)(?:\\\\[(.+)\\\\])?)?/.source.replace(\\\\\\\"WC\\\\\\\",HN),YN=/\\\\.(WC+)(?:\\\\[(.+)\\\\])?/.source.replace(\\\\\\\"WC\\\\\\\",HN),$N=new RegExp(\\\\\\\"^\\\\\\\"+WN+qN+XN+YN+\\\\\\\"$\\\\\\\"),JN=[\\\\\\\"material\\\\\\\",\\\\\\\"materials\\\\\\\",\\\\\\\"bones\\\\\\\"];class ZN{constructor(t,e,n){this.path=e,this.parsedPath=n||ZN.parseTrackName(e),this.node=ZN.findNode(t,this.parsedPath.nodeName)||t,this.rootNode=t,this.getValue=this._getValue_unbound,this.setValue=this._setValue_unbound}static create(t,e,n){return t&&t.isAnimationObjectGroup?new ZN.Composite(t,e,n):new ZN(t,e,n)}static sanitizeNodeName(t){return t.replace(/\\\\s/g,\\\\\\\"_\\\\\\\").replace(VN,\\\\\\\"\\\\\\\")}static parseTrackName(t){const e=$N.exec(t);if(!e)throw new Error(\\\\\\\"PropertyBinding: Cannot parse trackName: \\\\\\\"+t);const n={nodeName:e[2],objectName:e[3],objectIndex:e[4],propertyName:e[5],propertyIndex:e[6]},i=n.nodeName&&n.nodeName.lastIndexOf(\\\\\\\".\\\\\\\");if(void 0!==i&&-1!==i){const t=n.nodeName.substring(i+1);-1!==JN.indexOf(t)&&(n.nodeName=n.nodeName.substring(0,i),n.objectName=t)}if(null===n.propertyName||0===n.propertyName.length)throw new Error(\\\\\\\"PropertyBinding: can not parse propertyName from trackName: \\\\\\\"+t);return n}static findNode(t,e){if(!e||\\\\\\\"\\\\\\\"===e||\\\\\\\".\\\\\\\"===e||-1===e||e===t.name||e===t.uuid)return t;if(t.skeleton){const n=t.skeleton.getBoneByName(e);if(void 0!==n)return n}if(t.children){const n=function(t){for(let i=0;i0){const t=this._interpolants,e=this._propertyBindings;switch(this.blendMode){case 2501:for(let n=0,i=t.length;n!==i;++n)t[n].evaluate(r),e[n].accumulateAdditive(o);break;case Wx:default:for(let n=0,s=t.length;n!==s;++n)t[n].evaluate(r),e[n].accumulate(i,o)}}}_updateWeight(t){let e=0;if(this.enabled){e=this.weight;const n=this._weightInterpolant;if(null!==n){const i=n.evaluate(t)[0];e*=i,t>n.parameterPositions[1]&&(this.stopFading(),0===i&&(this.enabled=!1))}}return this._effectiveWeight=e,e}_updateTimeScale(t){let e=0;if(!this.paused){e=this.timeScale;const n=this._timeScaleInterpolant;if(null!==n){e*=n.evaluate(t)[0],t>n.parameterPositions[1]&&(this.stopWarping(),0===e?this.paused=!0:this.timeScale=e)}}return this._effectiveTimeScale=e,e}_updateTime(t){const e=this._clip.duration,n=this.loop;let i=this.time+t,s=this._loopCount;const r=2202===n;if(0===t)return-1===s?i:r&&1==(1&s)?e-i:i;if(2200===n){-1===s&&(this._loopCount=0,this._setEndings(!0,!0,!1));t:{if(i>=e)i=e;else{if(!(i<0)){this.time=i;break t}i=0}this.clampWhenFinished?this.paused=!0:this.enabled=!1,this.time=i,this._mixer.dispatchEvent({type:\\\\\\\"finished\\\\\\\",action:this,direction:t<0?-1:1})}}else{if(-1===s&&(t>=0?(s=0,this._setEndings(!0,0===this.repetitions,r)):this._setEndings(0===this.repetitions,!0,r)),i>=e||i<0){const n=Math.floor(i/e);i-=e*n,s+=Math.abs(n);const o=this.repetitions-s;if(o<=0)this.clampWhenFinished?this.paused=!0:this.enabled=!1,i=t>0?e:0,this.time=i,this._mixer.dispatchEvent({type:\\\\\\\"finished\\\\\\\",action:this,direction:t>0?1:-1});else{if(1===o){const e=t<0;this._setEndings(e,!e,r)}else this._setEndings(!1,!1,r);this._loopCount=s,this.time=i,this._mixer.dispatchEvent({type:\\\\\\\"loop\\\\\\\",action:this,loopDelta:n})}}else this.time=i;if(r&&1==(1&s))return e-i}return i}_setEndings(t,e,n){const i=this._interpolantSettings;n?(i.endingStart=Hx,i.endingEnd=Hx):(i.endingStart=t?this.zeroSlopeAtStart?Hx:Vx:jx,i.endingEnd=e?this.zeroSlopeAtEnd?Hx:Vx:jx)}_scheduleFading(t,e,n){const i=this._mixer,s=i.time;let r=this._weightInterpolant;null===r&&(r=i._lendControlInterpolant(),this._weightInterpolant=r);const o=r.parameterPositions,a=r.sampleValues;return o[0]=s,a[0]=e,o[1]=s+t,a[1]=n,this}}(class extends tb{constructor(t){super(),this._root=t,this._initMemoryManager(),this._accuIndex=0,this.time=0,this.timeScale=1}_bindAction(t,e){const n=t._localRoot||this._root,i=t._clip.tracks,s=i.length,r=t._propertyBindings,o=t._interpolants,a=n.uuid,l=this._bindingsByRootAndName;let c=l[a];void 0===c&&(c={},l[a]=c);for(let t=0;t!==s;++t){const s=i[t],l=s.name;let h=c[l];if(void 0!==h)r[t]=h;else{if(h=r[t],void 0!==h){null===h._cacheIndex&&(++h.referenceCount,this._addInactiveBinding(h,a,l));continue}const i=e&&e._propertyBindings[t].binding.parsedPath;h=new UN(ZN.create(n,l,i),s.ValueTypeName,s.getValueSize()),++h.referenceCount,this._addInactiveBinding(h,a,l),r[t]=h}o[t].resultBuffer=h.buffer}}_activateAction(t){if(!this._isActiveAction(t)){if(null===t._cacheIndex){const e=(t._localRoot||this._root).uuid,n=t._clip.uuid,i=this._actionsByClip[n];this._bindAction(t,i&&i.knownActions[0]),this._addInactiveAction(t,n,e)}const e=t._propertyBindings;for(let t=0,n=e.length;t!==n;++t){const n=e[t];0==n.useCount++&&(this._lendBinding(n),n.saveOriginalState())}this._lendAction(t)}}_deactivateAction(t){if(this._isActiveAction(t)){const e=t._propertyBindings;for(let t=0,n=e.length;t!==n;++t){const n=e[t];0==--n.useCount&&(n.restoreOriginalState(),this._takeBackBinding(n))}this._takeBackAction(t)}}_initMemoryManager(){this._actions=[],this._nActiveActions=0,this._actionsByClip={},this._bindings=[],this._nActiveBindings=0,this._bindingsByRootAndName={},this._controlInterpolants=[],this._nActiveControlInterpolants=0;const t=this;this.stats={actions:{get total(){return t._actions.length},get inUse(){return t._nActiveActions}},bindings:{get total(){return t._bindings.length},get inUse(){return t._nActiveBindings}},controlInterpolants:{get total(){return t._controlInterpolants.length},get inUse(){return t._nActiveControlInterpolants}}}}_isActiveAction(t){const e=t._cacheIndex;return null!==e&&e=0;--e)t[e].stop();return this}update(t){t*=this.timeScale;const e=this._actions,n=this._nActiveActions,i=this.time+=t,s=Math.sign(t),r=this._accuIndex^=1;for(let o=0;o!==n;++o){e[o]._update(i,t,s,r)}const o=this._bindings,a=this._nActiveBindings;for(let t=0;t!==a;++t)o[t].apply(r);return this}setTime(t){this.time=0;for(let t=0;tthis.max.x||t.ythis.max.y)}containsBox(t){return this.min.x<=t.min.x&&t.max.x<=this.max.x&&this.min.y<=t.min.y&&t.max.y<=this.max.y}getParameter(t,e){return e.set((t.x-this.min.x)/(this.max.x-this.min.x),(t.y-this.min.y)/(this.max.y-this.min.y))}intersectsBox(t){return!(t.max.xthis.max.x||t.max.ythis.max.y)}clampPoint(t,e){return e.copy(t).clamp(this.min,this.max)}distanceToPoint(t){return tL.copy(t).clamp(this.min,this.max).sub(t).length()}intersect(t){return this.min.max(t.min),this.max.min(t.max),this}union(t){return this.min.min(t.min),this.max.max(t.max),this}translate(t){return this.min.add(t),this.max.add(t),this}equals(t){return t.min.equals(this.min)&&t.max.equals(this.max)}}eL.prototype.isBox2=!0;const nL=new Sb,iL=new Sb;class sL{constructor(t=new Sb,e=new Sb){this.start=t,this.end=e}set(t,e){return this.start.copy(t),this.end.copy(e),this}copy(t){return this.start.copy(t.start),this.end.copy(t.end),this}getCenter(t){return t.addVectors(this.start,this.end).multiplyScalar(.5)}delta(t){return t.subVectors(this.end,this.start)}distanceSq(){return this.start.distanceToSquared(this.end)}distance(){return this.start.distanceTo(this.end)}at(t,e){return this.delta(e).multiplyScalar(t).add(this.start)}closestPointToPointParameter(t,e){nL.subVectors(t,this.start),iL.subVectors(this.end,this.start);const n=iL.dot(iL);let i=iL.dot(nL)/n;return e&&(i=ab(i,0,1)),i}closestPointToPoint(t,e,n){const i=this.closestPointToPointParameter(t,e);return this.delta(n).multiplyScalar(i).add(this.start)}applyMatrix4(t){return this.start.applyMatrix4(t),this.end.applyMatrix4(t),this}equals(t){return t.start.equals(this.start)&&t.end.equals(this.end)}clone(){return(new this.constructor).copy(this)}}(class extends Nw{constructor(t){super(),this.material=t,this.render=function(){},this.hasPositions=!1,this.hasNormals=!1,this.hasColors=!1,this.hasUvs=!1,this.positionArray=null,this.normalArray=null,this.colorArray=null,this.uvArray=null,this.count=0}}).prototype.isImmediateRenderObject=!0;const rL=new Sb,oL=new sw,aL=new sw;function lL(t){const e=[];t&&t.isBone&&e.push(t);for(let n=0;n8&&t<16&&e[n].split(t+1),0!==i&&this.subTrees.push(e[n])}return this}build(){return this.calcBox(),this.split(0),this}getRayTriangles(t,e){for(let n=0;n0)for(let t=0;t0&&i>0||n<-t.radius&&i<-t.radius)return!1;const s=Math.abs(n/(Math.abs(n)+Math.abs(i))),r=_L.copy(t.start).lerp(t.end,s);if(e.containsPoint(r))return{normal:fL.normal.clone(),point:r.clone(),depth:Math.abs(Math.min(n,i))};const o=t.radius*t.radius,a=gL.set(t.start,t.end),l=[[e.a,e.b],[e.b,e.c],[e.c,e.a]];for(let e=0;e0)for(let t=0;t0)for(let t=0;ta&&(i=o.clone().add(t.origin),s=a,n=e[r])}}return s<1e100&&{distance:s,triangle:n,position:i}}fromGraphNode(t){return t.updateWorldMatrix(!0,!0),t.traverse((t=>{if(!0===t.isMesh){let e,n=!1;null!==t.geometry.index?(n=!0,e=t.geometry.toNonIndexed()):e=t.geometry;const i=e.getAttribute(\\\\\\\"position\\\\\\\");for(let e=0;e{if(!e){const n=t;n.geometry&&(e=n)}})),e?this._playerCollisionController=new wL(e):console.error(\\\\\\\"no geo found in\\\\\\\",t)}else this._playerCollisionController=void 0}setCollisionCapsule(t){var e;null===(e=this._playerCollisionController)||void 0===e||e.setCapsule(t)}setJumpParams(t){}setGravity(t){}setPlayerMass(t){}}const AL={rotateSpeed:1,rotationRange:{min:.25*-Math.PI,max:.25*Math.PI}},ML={type:\\\\\\\"change\\\\\\\"},EL=new p.a,SL=new uy;class CL extends TL{constructor(t,e,n){super(),this._camera=t,this.domElement=e,this.player=n,this.translationData={direction:new p.a},this.rotationData={direction:{x:0,y:0}},this._boundMethods={onRotateStart:this._onRotateStart.bind(this),onRotateMove:this._onRotateMove.bind(this),onRotateEnd:this._onRotateEnd.bind(this),onTranslateStart:this._onTranslateStart.bind(this),onTranslateMove:this._onTranslateMove.bind(this),onTranslateEnd:this._onTranslateEnd.bind(this),onJump:this._onJump.bind(this),onRunToggle:this._onRunToggle.bind(this)},this._startCameraRotation=new ny.a,this._rotationSpeed=AL.rotateSpeed,this._rotationRange={min:AL.rotationRange.min,max:AL.rotationRange.max},this._azimuthalAngle=0,this.vLeft=new p.a,this.vRight=new p.a,this.vTop=new p.a,this.vBottom=new p.a,this.angleY=0,this.angleX=0,this._rotationStartPosition=new d.a,this._rotationMovePosition=new d.a,this._rotationDelta=new d.a,this._startCameraPosition=new p.a,this._translationStartPosition=new d.a,this._translationMovePosition=new d.a,this._translationDelta=new d.a,this._camera.rotation.order=\\\\\\\"ZYX\\\\\\\",this._translateDomElement=this._createTranslateDomElement(),this._translateDomElementRect=this._translateDomElement.getBoundingClientRect(),this._runDomElement=this._createRunDomElement(),this._jumpDomElement=this._createJumpDomElement(),this._addElements(),this._addEvents()}dispose(){this._removeEvents(),this._removeElements(),this.updateElements()}_createTranslateDomElement(){const t=this.domElement.getBoundingClientRect(),e=Math.min(t.width,t.height),n=Math.round(.4*e),i=Math.round(.1*e),s=document.createElement(\\\\\\\"div\\\\\\\");return s.id=\\\\\\\"MobileJoystickControls-translate\\\\\\\",s.style.width=`${n}px`,s.style.height=s.style.width,s.style.border=\\\\\\\"1px solid black\\\\\\\",s.style.borderRadius=`${n}px`,s.style.position=\\\\\\\"absolute\\\\\\\",s.style.bottom=`${i}px`,s.style.left=`${i}px`,s}_jumpDomElementSize(){const t=this.domElement.getBoundingClientRect(),e=Math.min(t.width,t.height);return{size:Math.round(.2*e),margin:Math.round(.05*e)}}_createJumpDomElement(){const{size:t,margin:e}=this._jumpDomElementSize(),n=document.createElement(\\\\\\\"div\\\\\\\");n.id=\\\\\\\"MobileJoystickControls-jump\\\\\\\",n.style.width=`${t}px`;const i=Math.floor(t);return n.style.height=`${i}px`,n.style.border=\\\\\\\"1px solid black\\\\\\\",n.style.position=\\\\\\\"absolute\\\\\\\",n.style.bottom=`${2*e+parseInt(this._runDomElement.style.height)}px`,n.style.right=`${e}px`,n.style.borderRadius=`${i}px`,n}_createRunDomElement(){const t=document.createElement(\\\\\\\"div\\\\\\\"),e=this.domElement.getBoundingClientRect(),n=Math.min(e.width,e.height),i=Math.round(.2*n),s=Math.round(.05*n);return t.id=\\\\\\\"MobileJoystickControls-run\\\\\\\",t.style.width=`${i}px`,t.style.height=`${Math.floor(i)}px`,t.style.border=\\\\\\\"1px solid black\\\\\\\",t.style.position=\\\\\\\"absolute\\\\\\\",t.style.bottom=`${s}px`,t.style.right=`${s}px`,t.style.translate=\\\\\\\"-50%\\\\\\\",t}_addElements(){var t,e,n;null===(t=this.domElement.parentElement)||void 0===t||t.append(this._translateDomElement),null===(e=this.domElement.parentElement)||void 0===e||e.append(this._jumpDomElement),null===(n=this.domElement.parentElement)||void 0===n||n.append(this._runDomElement)}_removeElements(){var t;const e=[this._translateDomElement,this._jumpDomElement,this._runDomElement];for(let n of e)null===(t=n.parentElement)||void 0===t||t.removeChild(n)}updateElements(){this.player&&(this._jumpDomElement.style.display=this.player.jumpAllowed?\\\\\\\"block\\\\\\\":\\\\\\\"none\\\\\\\",this._runDomElement.style.display=this.player.runAllowed?\\\\\\\"block\\\\\\\":\\\\\\\"none\\\\\\\")}_addEvents(){xv.disableContextMenu(),this.domElement.addEventListener(\\\\\\\"touchstart\\\\\\\",this._boundMethods.onRotateStart),this.domElement.addEventListener(\\\\\\\"touchmove\\\\\\\",this._boundMethods.onRotateMove),this.domElement.addEventListener(\\\\\\\"touchend\\\\\\\",this._boundMethods.onRotateEnd),this._translateDomElement.addEventListener(\\\\\\\"touchstart\\\\\\\",this._boundMethods.onTranslateStart),this._translateDomElement.addEventListener(\\\\\\\"touchmove\\\\\\\",this._boundMethods.onTranslateMove),this._translateDomElement.addEventListener(\\\\\\\"touchend\\\\\\\",this._boundMethods.onTranslateEnd),this._jumpDomElement.addEventListener(\\\\\\\"pointerdown\\\\\\\",this._boundMethods.onJump),this._runDomElement.addEventListener(\\\\\\\"pointerdown\\\\\\\",this._boundMethods.onRunToggle)}_removeEvents(){xv.reEstablishContextMenu(),this.domElement.removeEventListener(\\\\\\\"touchstart\\\\\\\",this._boundMethods.onRotateStart),this.domElement.removeEventListener(\\\\\\\"touchmove\\\\\\\",this._boundMethods.onRotateMove),this.domElement.removeEventListener(\\\\\\\"touchend\\\\\\\",this._boundMethods.onRotateEnd),this._translateDomElement.removeEventListener(\\\\\\\"touchstart\\\\\\\",this._boundMethods.onTranslateStart),this._translateDomElement.removeEventListener(\\\\\\\"touchmove\\\\\\\",this._boundMethods.onTranslateMove),this._translateDomElement.removeEventListener(\\\\\\\"touchend\\\\\\\",this._boundMethods.onTranslateEnd),this._jumpDomElement.removeEventListener(\\\\\\\"pointerdown\\\\\\\",this._boundMethods.onJump),this._runDomElement.removeEventListener(\\\\\\\"pointerdown\\\\\\\",this._boundMethods.onRunToggle)}setRotationSpeed(t){this._rotationSpeed=t}setRotationRange(t){this._rotationRange.min=t.min,this._rotationRange.max=t.max}_onRotateStart(t){this._startCameraRotation.copy(this._camera.rotation);const e=this._getTouch(t,this.domElement);e&&(this._rotationStartPosition.set(e.clientX,e.clientY),this.vLeft.set(-1,0,.5),this.vRight.set(1,0,.5),[this.vLeft,this.vRight].forEach((t=>{t.unproject(this._camera),this._camera.worldToLocal(t)})),this.angleY=this.vLeft.angleTo(this.vRight),this.vTop.set(0,1,.5),this.vBottom.set(0,-1,.5),[this.vTop,this.vBottom].forEach((t=>{t.unproject(this._camera),this._camera.worldToLocal(t)})),this.angleX=this.vTop.angleTo(this.vBottom))}_onRotateMove(t){const e=this._getTouch(t,this.domElement);e&&(this._rotationMovePosition.set(e.clientX,e.clientY),this._rotationDelta.copy(this._rotationMovePosition).sub(this._rotationStartPosition),this.rotationData.direction.x=this._rotationDelta.x/this.domElement.clientWidth,this.rotationData.direction.y=this._rotationDelta.y/this.domElement.clientHeight,this._rotateCamera(this.rotationData))}_onRotateEnd(){this.rotationData.direction.x=0,this.rotationData.direction.y=0}_rotateCamera(t){let e=this.angleY*t.direction.x*this._rotationSpeed;this._camera.rotation.y=this._startCameraRotation.y+-e;let n=this.angleX*t.direction.y*this._rotationSpeed;this._camera.rotation.x=or.clamp(this._startCameraRotation.x+-n,this._rotationRange.min,this._rotationRange.max),this._computeAzimuthalAngle(),this.dispatchEvent(ML)}_computeAzimuthalAngle(){this._camera.updateMatrixWorld(),EL.set(0,0,1),this._camera.localToWorld(EL),EL.sub(this._camera.position),SL.setFromVector3(EL),this._azimuthalAngle=SL.theta}_onTranslateStart(t){this._startCameraPosition.copy(this._camera.position);if(!this._getTouch(t,this._translateDomElement))return;this._translateDomElementRect=this._translateDomElement.getBoundingClientRect();const e=this._translateDomElementRect.left+.5*this._translateDomElementRect.width,n=this._translateDomElementRect.top+.5*this._translateDomElementRect.height;this._translationStartPosition.set(e,n)}_onTranslateMove(t){const e=this._getTouch(t,this._translateDomElement);e&&(this._translationMovePosition.set(e.clientX,e.clientY),this._translationDelta.copy(this._translationMovePosition).sub(this._translationStartPosition),this.translationData.direction.x=this._translationDelta.x/this._translateDomElementRect.width*.5,this.translationData.direction.z=-this._translationDelta.y/this._translateDomElementRect.height*.5,this._updatePlayerTranslate(),this.dispatchEvent(ML))}_onTranslateEnd(){this.translationData.direction.x=0,this.translationData.direction.z=0,this._updatePlayerTranslate()}_updatePlayerTranslate(){if(!this.player)return;const t=this.translationData.direction;this.player.setForward(!1),this.player.setBackward(!1),this.player.setLeft(!1),this.player.setRight(!1);const e=Math.abs(t.x),n=Math.abs(t.z),i=n-e;function s(e){t.z>0&&e.setForward(!0),t.z<0&&e.setBackward(!0)}function r(e){t.x>0&&e.setRight(!0),t.x<0&&e.setLeft(!0)}i>0?(s(this.player),i<.5*n&&r(this.player)):(r(this.player),i<.5*e&&s(this.player))}_onJump(){var t;null===(t=this.player)||void 0===t||t.jump()}_onRunToggle(){if(!this.player)return;const t=this.player.running();this.player.setRun(!t);const e=this.player.running()?3:1;this._runDomElement.style.border=`${e}px solid black`}update(t){this.player&&(this.player.setAzimuthalAngle(this._azimuthalAngle),this.player.update(t))}_getTouch(t,e){for(let n=0;n{IL.PARAM_CALLBACK_updatePlayerParams(t)}}}const RL=new class extends ua{constructor(){super(...arguments),this.main=ha.FOLDER(),this.colliderObject=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.SOP},dependentOnFoundNode:!1,callback:t=>{IL.PARAM_CALLBACK_updateCollider(t)}}),this.capsuleRadius=ha.FLOAT(.5,{range:[0,1],rangeLocked:[!0,!1],...PL()}),this.capsuleHeight=ha.FLOAT(1,{range:[0,2],rangeLocked:[!0,!1],...PL()}),this.physics=ha.FOLDER(),this.physicsSteps=ha.INTEGER(5,{range:[1,10],rangeLocked:[!0,!1],...PL()}),this.gravity=ha.VECTOR3([0,-30,0],{...PL()}),this.translateSpeed=ha.FLOAT(1),this.rotateSpeed=ha.FLOAT(AL.rotateSpeed),this.jumpAllowed=ha.BOOLEAN(!0,{...PL()}),this.jumpStrength=ha.FLOAT(10,{range:[0,100],rangeLocked:[!0,!1],...PL()}),this.runAllowed=ha.BOOLEAN(!0,{...PL()}),this.runSpeedMult=ha.FLOAT(2,{range:[0,10],rangeLocked:[!0,!1],...PL()}),this.updateCollider=ha.BUTTON(null,{callback:t=>{IL.PARAM_CALLBACK_updateCollider(t)}}),this.init=ha.FOLDER(),this.startPosition=ha.VECTOR3([0,2,0],{...PL()}),this.startRotation=ha.VECTOR3([0,0,0],{...PL()}),this.reset=ha.BUTTON(null,{callback:t=>{IL.PARAM_CALLBACK_resetPlayer(t)}}),this.minPolarAngle=ha.FLOAT(\\\\\\\"-$PI*0.5\\\\\\\",{range:[-Math.PI,Math.PI],rangeLocked:[!0,!0]}),this.maxPolarAngle=ha.FLOAT(\\\\\\\"$PI*0.5\\\\\\\",{range:[-Math.PI,Math.PI],rangeLocked:[!0,!0]})}};class IL extends ey{constructor(){super(...arguments),this.paramsConfig=RL,this._controls_by_element_id=new Map}static type(){return _s.MOBILE_JOYSTICK}endEventName(){return\\\\\\\"end\\\\\\\"}collisionController(){return this._collisionController=this._collisionController||new tx(this)}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(IL.INPUT_UPDATE_COLLIDER,Qo.BASE,this._updateCollider.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(NL,Qo.BASE),new ta(LL,Qo.BASE),new ta(OL,Qo.BASE)])}async createControlsInstance(t,e){await this._initPlayer(t);const n=new CL(t,e,this._player);return this._controls_by_element_id.set(e.id,n),this._bind_listeners_to_controls_instance(n),n}async _initPlayer(t){this._player=this._player||await this._createPlayer(t),this._player&&(this._updatePlayerParams(),this._player.reset())}player(){return this._player}async _updatePlayerParams(){this._player&&(this._player.startPosition.copy(this.pv.startPosition),this._player.physicsSteps=this.pv.physicsSteps,this._player.jumpAllowed=this.pv.jumpAllowed,this._player.jumpStrength=this.pv.jumpStrength,this._player.runAllowed=this.pv.runAllowed,this._player.runSpeedMult=this.pv.runSpeedMult,this._player.gravity.copy(this.pv.gravity),this._player.speed=this.pv.translateSpeed,this._player.setCapsule({radius:this.pv.capsuleRadius,height:this.pv.capsuleHeight}),this._controls_by_element_id.forEach((t=>t.updateElements())))}async _createPlayer(t){const e=t,n=await this.collisionController().getCollider();if(!n)return void this.states.error.set(\\\\\\\"invalid collider\\\\\\\");return new $y({object:e,collider:n})}_resetPlayer(){var t;null===(t=this._player)||void 0===t||t.reset()}async _updateCollider(){await this.collisionController().updateCollider()}_bind_listeners_to_controls_instance(t){t.addEventListener(NL,(()=>{this.dispatchEventToOutput(NL,{})})),t.addEventListener(LL,(()=>{this.dispatchEventToOutput(LL,{})})),t.addEventListener(OL,(()=>{this.dispatchEventToOutput(OL,{})}))}updateRequired(){return!0}setupControls(t){t.setRotationSpeed(this.pv.rotateSpeed),t.setRotationRange({min:this.pv.minPolarAngle,max:this.pv.maxPolarAngle}),t.updateElements()}disposeControlsForHtmlElementId(t){this._controls_by_element_id.get(t)&&this._controls_by_element_id.delete(t)}static PARAM_CALLBACK_updateCollider(t){t._updateCollider()}static PARAM_CALLBACK_updatePlayerParams(t){t._updatePlayerParams()}static PARAM_CALLBACK_resetPlayer(t){t._resetPlayer()}}var FL;IL.INPUT_UPDATE_COLLIDER=\\\\\\\"updateCollider\\\\\\\",function(t){t.ALL_TOGETHER=\\\\\\\"all together\\\\\\\",t.BATCH=\\\\\\\"batch\\\\\\\"}(FL||(FL={}));const DL=[FL.ALL_TOGETHER,FL.BATCH];const BL=new class extends ua{constructor(){super(...arguments),this.mask=ha.STRING(\\\\\\\"/geo*\\\\\\\",{callback:t=>{zL.PARAM_CALLBACK_updateResolvedNodes(t)}}),this.force=ha.BOOLEAN(0),this.cookMode=ha.INTEGER(DL.indexOf(FL.ALL_TOGETHER),{menu:{entries:DL.map(((t,e)=>({name:t,value:e})))}}),this.batchSize=ha.INTEGER(1,{visibleIf:{cookMode:DL.indexOf(FL.BATCH)},separatorAfter:!0}),this.registerOnlyFirstCooks=ha.BOOLEAN(!0),this.updateResolve=ha.BUTTON(null,{callback:(t,e)=>{zL.PARAM_CALLBACK_updateResolve(t)}}),this.printResolve=ha.BUTTON(null,{callback:(t,e)=>{zL.PARAM_CALLBACK_printResolve(t)}})}};class zL extends Va{constructor(){super(...arguments),this.paramsConfig=BL,this._resolvedNodes=[],this._dispatchedFirstNodeCooked=!1,this._dispatchedAllNodesCooked=!1,this._cookStateByNodeId=new Map}static type(){return\\\\\\\"nodeCook\\\\\\\"}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(zL.INPUT_TRIGGER,Qo.BASE,this.processEventTrigger.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(zL.OUTPUT_FIRST_NODE,Qo.BASE),new ta(zL.OUTPUT_EACH_NODE,Qo.BASE),new ta(zL.OUTPUT_ALL_NODES,Qo.BASE)])}trigger(){this.processEventTrigger({})}cook(){this._updateResolvedNodes(),this.cookController.endCook()}dispose(){super.dispose(),this._reset()}resolvedNodes(){return this._resolvedNodes}processEventTrigger(t){this._cook_nodes_with_mode()}_cook_nodes_with_mode(){this._updateResolvedNodes();const t=DL[this.pv.cookMode];switch(t){case FL.ALL_TOGETHER:return this._cookNodesAllTogether();case FL.BATCH:return this._cookNodesInBatch()}os.unreachable(t)}_cookNodesAllTogether(){this._cookNodes(this._resolvedNodes)}async _cookNodesInBatch(){const t=this.pv.batchSize,e=Math.ceil(this._resolvedNodes.length/t);for(let n=0;n{this._onNodeCookComplete(t)})),this._cookStateByNodeId.set(t.graphNodeId(),!1)}_callbackNameForNode(t){return`owner-${this.graphNodeId()}-target-${t.graphNodeId()}`}_reset(){this._dispatchedFirstNodeCooked=!1,this._cookStateByNodeId.clear();for(let t of this._resolvedNodes)t.cookController.deregisterOnCookEnd(this._callbackNameForNode(t));this._resolvedNodes=[]}_allNodesHaveCooked(){for(let t of this._resolvedNodes){if(!this._cookStateByNodeId.get(t.graphNodeId()))return!1}return!0}_onNodeCookComplete(t){const e={value:{node:t}};this._dispatchedFirstNodeCooked||(this._dispatchedFirstNodeCooked=!0,this.dispatchEventToOutput(zL.OUTPUT_FIRST_NODE,e));this._cookStateByNodeId.get(t.graphNodeId())&&this.pv.registerOnlyFirstCooks||this.dispatchEventToOutput(zL.OUTPUT_EACH_NODE,e),this._cookStateByNodeId.set(t.graphNodeId(),!0),this._dispatchedAllNodesCooked||this._allNodesHaveCooked()&&(this._dispatchedAllNodesCooked=!0,this.dispatchEventToOutput(zL.OUTPUT_ALL_NODES,{}))}static PARAM_CALLBACK_updateResolve(t){t._allNodesHaveCooked()}static PARAM_CALLBACK_printResolve(t){t.printResolve()}printResolve(){console.log(this._resolvedNodes)}}var kL,UL;zL.INPUT_TRIGGER=\\\\\\\"trigger\\\\\\\",zL.OUTPUT_FIRST_NODE=\\\\\\\"first\\\\\\\",zL.OUTPUT_EACH_NODE=\\\\\\\"each\\\\\\\",zL.OUTPUT_ALL_NODES=\\\\\\\"all\\\\\\\",function(t){t.TRIGGER=\\\\\\\"trigger\\\\\\\"}(kL||(kL={})),function(t){t.OUT=\\\\\\\"out\\\\\\\"}(UL||(UL={}));const GL=new class extends ua{};class VL extends Va{constructor(){super(...arguments),this.paramsConfig=GL}static type(){return\\\\\\\"null\\\\\\\"}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(kL.TRIGGER,Qo.BASE,this.processEventTrigger.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(UL.OUT,Qo.BASE)])}processEvent(t){}processEventTrigger(t){this.dispatchEventToOutput(UL.OUT,t)}}const HL=\\\\\\\"init\\\\\\\",jL=\\\\\\\"dispose\\\\\\\",WL=\\\\\\\"reset\\\\\\\";function qL(){return{callback:t=>{ZL.PARAM_CALLBACK_updatePlayerParams(t)}}}const XL=new p.a,YL=new p.a,$L=new uy;const JL=new class extends ua{constructor(){super(...arguments),this.main=ha.FOLDER(),this.playerObject=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.OBJ}}),this.colliderObject=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.SOP},dependentOnFoundNode:!1,callback:t=>{ZL.PARAM_CALLBACK_updateCollider(t)}}),this.camera=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{types:[is.PERSPECTIVE,is.ORTHOGRAPHIC],context:ts.OBJ}}),this.initPlayer=ha.BUTTON(null,{callback:t=>{ZL.PARAM_CALLBACK_initPlayer(t)}}),this.capsuleRadius=ha.FLOAT(.5,{range:[0,1],rangeLocked:[!0,!1],...qL()}),this.capsuleHeight=ha.FLOAT(1,{range:[0,2],rangeLocked:[!0,!1],...qL()}),this.physics=ha.FOLDER(),this.physicsSteps=ha.INTEGER(5,{range:[1,10],rangeLocked:[!0,!1],...qL()}),this.gravity=ha.VECTOR3([0,-30,0],{...qL()}),this.speed=ha.FLOAT(1,{range:[0,10],rangeLocked:[!0,!1],...qL()}),this.jumpAllowed=ha.BOOLEAN(!0,{...qL()}),this.jumpStrength=ha.FLOAT(10,{range:[0,100],rangeLocked:[!0,!1],...qL()}),this.runAllowed=ha.BOOLEAN(!0,{...qL()}),this.runSpeedMult=ha.FLOAT(2,{range:[0,10],rangeLocked:[!0,!1],...qL()}),this.updateCollider=ha.BUTTON(null,{callback:t=>{ZL.PARAM_CALLBACK_updateCollider(t)}}),this.mesh=ha.FOLDER(),this.useMesh=ha.BOOLEAN(!0,{callback:t=>{ZL.PARAM_CALLBACK_updatePlayerMesh(t)}}),this.material=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.MAT},callback:t=>{ZL.PARAM_CALLBACK_updatePlayerMaterial(t)}}),this.init=ha.FOLDER(),this.startPosition=ha.VECTOR3([0,5,0],{...qL()}),this.reset=ha.BUTTON(null,{callback:t=>{ZL.PARAM_CALLBACK_resetPlayer(t)}})}};class ZL extends Va{constructor(){super(...arguments),this.paramsConfig=JL}static type(){return _s.PLAYER}collisionController(){return this._collisionController=this._collisionController||new tx(this)}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(HL,Qo.BASE,this._initPlayer.bind(this)),new ta(jL,Qo.BASE,this._disposePlayer.bind(this)),new ta(WL,Qo.BASE,this._resetPlayer.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(HL,Qo.BASE),new ta(jL,Qo.BASE),new ta(WL,Qo.BASE)])}async _initPlayer(){if(this._player=this._player||await this._createPlayer(),!this._player)return void this.states.error.set(\\\\\\\"could not create player\\\\\\\");this._updatePlayerMesh(),this._updatePlayerMaterial(),this._updatePlayerParams(),this._corePlayerKeyEvents=new Zy(this._player),this._corePlayerKeyEvents.addEvents(),this._player.reset();const t=this._player;this.scene().registerOnBeforeTick(this._callbackName(),(e=>{t.setAzimuthalAngle(this._getAzimuthalAngle()),t.update(e)})),this.dispatchEventToOutput(HL,{})}player(){return this._player}_callbackName(){return`event/PlayerControls-${this.graphNodeId()}`}_disposePlayer(){var t;this._player&&(null===(t=this._corePlayerKeyEvents)||void 0===t||t.removeEvents(),this.scene().unRegisterOnBeforeTick(this._callbackName())),this.dispatchEventToOutput(jL,{})}_resetPlayer(){this._player&&this._player.reset(),this.dispatchEventToOutput(WL,{})}async _updatePlayerParams(){this._player&&(this._player.startPosition.copy(this.pv.startPosition),this._player.physicsSteps=this.pv.physicsSteps,this._player.jumpAllowed=this.pv.jumpAllowed,this._player.jumpStrength=this.pv.jumpStrength,this._player.runAllowed=this.pv.runAllowed,this._player.runSpeedMult=this.pv.runSpeedMult,this._player.gravity.copy(this.pv.gravity),this._player.speed=this.pv.speed,this._player.setCapsule({radius:this.pv.capsuleRadius,height:this.pv.capsuleHeight}))}_updatePlayerMesh(){this._player&&this._player.setUsePlayerMesh(this.pv.useMesh)}async _updatePlayerMaterial(){if(!this._player)return;const t=this.pv.material.nodeWithContext(ts.MAT);if(!t)return void this.states.error.set(\\\\\\\"material node not found\\\\\\\");const e=(await t.compute()).material();this._player.setMaterial(e)}async _createPlayer(){const t=this.pv.playerObject.nodeWithContext(ts.OBJ);if(!t)return void this.states.error.set(\\\\\\\"player node not found\\\\\\\");const e=this.pv.camera.nodeWithContext(ts.OBJ);if(!e)return void this.states.error.set(\\\\\\\"invalid camera node\\\\\\\");this._cameraObject=e.object;const n=t.object,i=await this.collisionController().getCollider();if(!i)return void this.states.error.set(\\\\\\\"invalid collider\\\\\\\");return new $y({object:n,collider:i,meshName:this.path()})}async _updateCollider(){await this.collisionController().updateCollider()}_getAzimuthalAngle(){if(!this._cameraObject||!this._player)return 0;const t=this._cameraObject.position,e=this._player.object.position;return XL.copy(t),YL.copy(e),XL.sub(YL),$L.setFromVector3(XL),$L.theta}static PARAM_CALLBACK_initPlayer(t){t._initPlayer()}static PARAM_CALLBACK_updatePlayerParams(t){t._updatePlayerParams()}static PARAM_CALLBACK_updatePlayerMaterial(t){t._updatePlayerMaterial()}static PARAM_CALLBACK_updatePlayerMesh(t){t._updatePlayerMesh()}static PARAM_CALLBACK_updateCollider(t){t._updateCollider()}static PARAM_CALLBACK_resetPlayer(t){t._resetPlayer()}}var KL,QL=n(39),tO=n(36);class eO{constructor(t,e,n=0,i=1/0){this.ray=new QL.a(t,e),this.near=n,this.far=i,this.camera=null,this.layers=new tO.a,this.params={Mesh:{},Line:{threshold:1},LOD:{},Points:{threshold:1},Sprite:{}}}set(t,e){this.ray.set(t,e)}setFromCamera(t,e){e&&e.isPerspectiveCamera?(this.ray.origin.setFromMatrixPosition(e.matrixWorld),this.ray.direction.set(t.x,t.y,.5).unproject(e).sub(this.ray.origin).normalize(),this.camera=e):e&&e.isOrthographicCamera?(this.ray.origin.set(t.x,t.y,(e.near+e.far)/(e.near-e.far)).unproject(e),this.ray.direction.set(0,0,-1).transformDirection(e.matrixWorld),this.camera=e):console.error(\\\\\\\"THREE.Raycaster: Unsupported camera type: \\\\\\\"+e.type)}intersectObject(t,e=!0,n=[]){return iO(t,this,n,e),n.sort(nO),n}intersectObjects(t,e=!0,n=[]){for(let i=0,s=t.length;i{this._mouse.x=t.offsetX/n.offsetWidth*2-1,this._mouse.y=-t.offsetY/n.offsetHeight*2+1,this._mouse.toArray(this._mouse_array),this._node.p.mouse.set(this._mouse_array)})(this._offset),this._raycaster.setFromCamera(this._mouse,i.object)}processEvent(t){this._prepareRaycaster(t);const e=oO[this._node.pv.intersectWith];switch(e){case rO.GEOMETRY:return this._intersect_with_geometry(t);case rO.PLANE:return this._intersect_with_plane(t)}os.unreachable(e)}_intersect_with_plane(t){this._plane.normal.copy(this._node.pv.planeDirection),this._plane.constant=this._node.pv.planeOffset,this._raycaster.ray.intersectPlane(this._plane,this._plane_intersect_target),this._set_position_param(this._plane_intersect_target),this._node.trigger_hit(t)}_intersect_with_geometry(t){if(this._resolved_targets||this.update_target(),this._resolved_targets){this._intersections.length=0;const e=this._raycaster.intersectObjects(this._resolved_targets,this._node.pv.traverseChildren,this._intersections)[0];e?(this._set_position_param(e.point),this._node.pv.geoAttribute&&this._resolve_geometry_attribute(e),t.value={intersect:e},this._node.trigger_hit(t)):this._node.trigger_miss(t)}}_resolve_geometry_attribute(t){const e=ks[this._node.pv.geoAttributeType],n=lO.resolve_geometry_attribute(t,this._node.pv.geoAttributeName,e);if(null!=n){switch(e){case zs.NUMERIC:return void this._node.p.geoAttributeValue1.set(n);case zs.STRING:return void(m.isString(n)&&this._node.p.geoAttributeValues.set(n))}os.unreachable(e)}}static resolve_geometry_attribute(t,e,n){switch(Os(t.object.constructor)){case Ns.MESH:return this.resolve_geometry_attribute_for_mesh(t,e,n);case Ns.POINTS:return this.resolve_geometry_attribute_for_point(t,e,n)}}static resolve_geometry_attribute_for_mesh(t,e,n){const i=t.object.geometry;if(i){const s=i.getAttribute(e);if(s){switch(n){case zs.NUMERIC:{const e=i.getAttribute(\\\\\\\"position\\\\\\\");return t.face?(this._vA.fromBufferAttribute(e,t.face.a),this._vB.fromBufferAttribute(e,t.face.b),this._vC.fromBufferAttribute(e,t.face.c),this._uvA.fromBufferAttribute(s,t.face.a),this._uvB.fromBufferAttribute(s,t.face.b),this._uvC.fromBufferAttribute(s,t.face.c),t.uv=tr.a.getUV(t.point,this._vA,this._vB,this._vC,this._uvA,this._uvB,this._uvC,this._hitUV),this._hitUV.x):void 0}case zs.STRING:{const t=new fr(i).points()[0];return t?t.stringAttribValue(e):void 0}}os.unreachable(n)}}}static resolve_geometry_attribute_for_point(t,e,n){const i=t.object.geometry;if(i&&null!=t.index){switch(n){case zs.NUMERIC:{const n=i.getAttribute(e);return n?n.array[t.index]:void 0}case zs.STRING:{const n=new fr(i).points()[t.index];return n?n.stringAttribValue(e):void 0}}os.unreachable(n)}}_set_position_param(t){if(t.toArray(this._hit_position_array),this._node.pv.tpositionTarget){if(li.playerMode())this._found_position_target_param=this._found_position_target_param||this._node.pv.positionTarget.paramWithType(Cr.VECTOR3);else{const t=this._node.pv.positionTarget;this._found_position_target_param=t.paramWithType(Cr.VECTOR3)}this._found_position_target_param&&this._found_position_target_param.set(this._hit_position_array)}else this._node.p.position.set(this._hit_position_array);this.velocity_controller.process(t)}_prepareRaycaster(t){const e=this._raycaster.params.Points;e&&(e.threshold=this._node.pv.pointsThreshold);let n=t.cameraNode;if(this._node.pv.overrideCamera)if(this._node.pv.overrideRay)this._raycaster.ray.origin.copy(this._node.pv.rayOrigin),this._raycaster.ray.direction.copy(this._node.pv.rayDirection);else{const t=this._node.p.camera.found_node_with_context(ts.OBJ);t&&(n=t)}n&&!this._node.pv.overrideRay&&n.prepareRaycaster(this._mouse,this._raycaster)}update_target(){const t=vO[this._node.pv.targetType];switch(t){case gO.NODE:return this._update_target_from_node();case gO.SCENE_GRAPH:return this._update_target_from_scene_graph()}os.unreachable(t)}_update_target_from_node(){const t=this._node.p.targetNode.value.nodeWithContext(ts.OBJ);if(t){const e=this._node.pv.traverseChildren?t.object:t.childrenDisplayController.sopGroup();this._resolved_targets=e?[e]:void 0}else this._node.states.error.set(\\\\\\\"node is not an object\\\\\\\")}_update_target_from_scene_graph(){const t=this._node.scene().objectsByMask(this._node.pv.objectMask);t.length>0?this._resolved_targets=t:this._resolved_targets=void 0}async update_position_target(){this._node.p.positionTarget.isDirty()&&await this._node.p.positionTarget.compute()}static PARAM_CALLBACK_update_target(t){t.cpuController.update_target()}static PARAM_CALLBACK_print_resolve(t){t.cpuController.print_resolve()}print_resolve(){this.update_target(),console.log(this._resolved_targets)}}lO._vA=new p.a,lO._vB=new p.a,lO._vC=new p.a,lO._uvA=new d.a,lO._uvB=new d.a,lO._uvC=new d.a,lO._hitUV=new d.a;class cO{constructor(t){this._node=t,this._resolved_material=null,this._restore_context={scene:{overrideMaterial:null},renderer:{toneMapping:-1,outputEncoding:-1}},this._mouse=new d.a,this._mouse_array=[0,0],this._read=new Float32Array(4),this._param_read=[0,0,0,0]}updateMouse(t){var e;const n=null===(e=t.viewer)||void 0===e?void 0:e.canvas();n&&t.event&&(t.event instanceof MouseEvent||t.event instanceof DragEvent||t.event instanceof PointerEvent?(this._mouse.x=t.event.offsetX/n.offsetWidth,this._mouse.y=1-t.event.offsetY/n.offsetHeight,this._mouse.toArray(this._mouse_array),this._node.p.mouse.set(this._mouse_array)):console.warn(\\\\\\\"event type not implemented\\\\\\\"))}processEvent(t){var e;const n=null===(e=t.viewer)||void 0===e?void 0:e.canvas();if(!n||!t.cameraNode)return;const i=t.cameraNode,s=i.renderController;if(s){if(this._render_target=this._render_target||new K(n.offsetWidth,n.offsetHeight,{minFilter:w.V,magFilter:w.ob,format:w.Ib,type:w.G}),!this._resolved_material)return this.update_material(),void console.warn(\\\\\\\"no material found\\\\\\\");const e=i,r=s.resolved_scene||i.scene().threejsScene(),o=s.renderer(n);this._modify_scene_and_renderer(r,o),o.setRenderTarget(this._render_target),o.clear(),o.render(r,e.object),o.setRenderTarget(null),this._restore_scene_and_renderer(r,o),o.readRenderTargetPixels(this._render_target,Math.round(this._mouse.x*n.offsetWidth),Math.round(this._mouse.y*n.offsetHeight),1,1,this._read),this._param_read[0]=this._read[0],this._param_read[1]=this._read[1],this._param_read[2]=this._read[2],this._param_read[3]=this._read[3],this._node.p.pixelValue.set(this._param_read),this._node.pv.pixelValue.x>this._node.pv.hitThreshold?this._node.trigger_hit(t):this._node.trigger_miss(t)}}_modify_scene_and_renderer(t,e){this._restore_context.scene.overrideMaterial=t.overrideMaterial,this._restore_context.renderer.outputEncoding=e.outputEncoding,this._restore_context.renderer.toneMapping=e.toneMapping,t.overrideMaterial=this._resolved_material,e.toneMapping=w.vb,e.outputEncoding=w.U}_restore_scene_and_renderer(t,e){t.overrideMaterial=this._restore_context.scene.overrideMaterial,e.outputEncoding=this._restore_context.renderer.outputEncoding,e.toneMapping=this._restore_context.renderer.toneMapping}update_material(){const t=this._node.p.material.found_node();t?t.context()==ts.MAT?this._resolved_material=t.material:this._node.states.error.set(\\\\\\\"target is not an obj\\\\\\\"):this._node.states.error.set(\\\\\\\"no target found\\\\\\\")}static PARAM_CALLBACK_update_material(t){t.gpuController.update_material()}}const hO=1e3/60;var uO;!function(t){t.CPU=\\\\\\\"cpu\\\\\\\",t.GPU=\\\\\\\"gpu\\\\\\\"}(uO||(uO={}));const dO=[uO.CPU,uO.GPU];function pO(t={}){return t.mode=dO.indexOf(uO.CPU),{visibleIf:t}}function _O(t={}){return t.mode=dO.indexOf(uO.CPU),t.intersectWith=oO.indexOf(rO.GEOMETRY),{visibleIf:t}}function mO(t={}){return t.mode=dO.indexOf(uO.CPU),t.intersectWith=oO.indexOf(rO.PLANE),{visibleIf:t}}function fO(t={}){return t.mode=dO.indexOf(uO.GPU),{visibleIf:t}}var gO;!function(t){t.SCENE_GRAPH=\\\\\\\"scene graph\\\\\\\",t.NODE=\\\\\\\"node\\\\\\\"}(gO||(gO={}));const vO=[gO.SCENE_GRAPH,gO.NODE];const yO=new class extends ua{constructor(){super(...arguments),this.mode=ha.INTEGER(dO.indexOf(uO.CPU),{menu:{entries:dO.map(((t,e)=>({name:t,value:e})))}}),this.mouse=ha.VECTOR2([0,0],{cook:!1}),this.overrideCamera=ha.BOOLEAN(0),this.overrideRay=ha.BOOLEAN(0,{visibleIf:{mode:dO.indexOf(uO.CPU),overrideCamera:1}}),this.camera=ha.OPERATOR_PATH(\\\\\\\"/perspective_camera1\\\\\\\",{nodeSelection:{context:ts.OBJ},dependentOnFoundNode:!1,visibleIf:{overrideCamera:1,overrideRay:0}}),this.rayOrigin=ha.VECTOR3([0,0,0],{visibleIf:{overrideCamera:1,overrideRay:1}}),this.rayDirection=ha.VECTOR3([0,0,1],{visibleIf:{overrideCamera:1,overrideRay:1}}),this.material=ha.OPERATOR_PATH(\\\\\\\"/MAT/mesh_basic_builder1\\\\\\\",{nodeSelection:{context:ts.MAT},dependentOnFoundNode:!1,callback:(t,e)=>{cO.PARAM_CALLBACK_update_material(t)},...fO()}),this.pixelValue=ha.VECTOR4([0,0,0,0],{cook:!1,...fO()}),this.hitThreshold=ha.FLOAT(.5,{cook:!1,...fO()}),this.intersectWith=ha.INTEGER(oO.indexOf(rO.GEOMETRY),{menu:{entries:oO.map(((t,e)=>({name:t,value:e})))},...pO()}),this.pointsThreshold=ha.FLOAT(1,{range:[0,100],rangeLocked:[!0,!1],...pO()}),this.planeDirection=ha.VECTOR3([0,1,0],{...mO()}),this.planeOffset=ha.FLOAT(0,{...mO()}),this.targetType=ha.INTEGER(0,{menu:{entries:vO.map(((t,e)=>({name:t,value:e})))},..._O()}),this.targetNode=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.OBJ},dependentOnFoundNode:!1,callback:(t,e)=>{lO.PARAM_CALLBACK_update_target(t)},..._O({targetType:vO.indexOf(gO.NODE)})}),this.objectMask=ha.STRING(\\\\\\\"*geo1*\\\\\\\",{callback:(t,e)=>{lO.PARAM_CALLBACK_update_target(t)},..._O({targetType:vO.indexOf(gO.SCENE_GRAPH)})}),this.printFoundObjectsFromMask=ha.BUTTON(null,{callback:(t,e)=>{lO.PARAM_CALLBACK_print_resolve(t)},..._O({targetType:vO.indexOf(gO.SCENE_GRAPH)})}),this.traverseChildren=ha.BOOLEAN(!0,{callback:(t,e)=>{lO.PARAM_CALLBACK_update_target(t)},..._O(),separatorAfter:!0}),this.tpositionTarget=ha.BOOLEAN(0,{cook:!1,...pO()}),this.position=ha.VECTOR3([0,0,0],{cook:!1,...pO({tpositionTarget:0})}),this.positionTarget=ha.PARAM_PATH(\\\\\\\"\\\\\\\",{cook:!1,...pO({tpositionTarget:1}),paramSelection:Cr.VECTOR3,computeOnDirty:!0}),this.tvelocity=ha.BOOLEAN(0,{cook:!1}),this.tvelocityTarget=ha.BOOLEAN(0,{cook:!1,...pO({tvelocity:1})}),this.velocity=ha.VECTOR3([0,0,0],{cook:!1,...pO({tvelocity:1,tvelocityTarget:0})}),this.velocityTarget=ha.PARAM_PATH(\\\\\\\"\\\\\\\",{cook:!1,...pO({tvelocity:1,tvelocityTarget:1}),paramSelection:Cr.VECTOR3,computeOnDirty:!0}),this.geoAttribute=ha.BOOLEAN(0,_O()),this.geoAttributeName=ha.STRING(\\\\\\\"id\\\\\\\",{cook:!1,..._O({geoAttribute:1})}),this.geoAttributeType=ha.INTEGER(ks.indexOf(zs.NUMERIC),{menu:{entries:Us},..._O({geoAttribute:1})}),this.geoAttributeValue1=ha.FLOAT(0,{cook:!1,..._O({geoAttribute:1,geoAttributeType:ks.indexOf(zs.NUMERIC)})}),this.geoAttributeValues=ha.STRING(\\\\\\\"\\\\\\\",{..._O({geoAttribute:1,geoAttributeType:ks.indexOf(zs.STRING)})})}};class xO extends Va{constructor(){super(...arguments),this.paramsConfig=yO,this.cpuController=new lO(this),this.gpuController=new cO(this),this._last_event_processed_at=-1}static type(){return\\\\\\\"raycast\\\\\\\"}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(xO.INPUT_TRIGGER,Qo.BASE,this._process_trigger_event_throttled.bind(this)),new ta(xO.INPUT_MOUSE,Qo.MOUSE,this._process_mouse_event.bind(this)),new ta(xO.INPUT_UPDATE_OBJECTS,Qo.BASE,this._process_trigger_update_objects.bind(this)),new ta(xO.INPUT_TRIGGER_VEL_RESET,Qo.BASE,this._process_trigger_vel_reset.bind(this))]),this.io.outputs.setNamedOutputConnectionPoints([new ta(xO.OUTPUT_HIT,Qo.BASE),new ta(xO.OUTPUT_MISS,Qo.BASE)])}trigger_hit(t){this.dispatchEventToOutput(xO.OUTPUT_HIT,t)}trigger_miss(t){this.dispatchEventToOutput(xO.OUTPUT_MISS,t)}_process_mouse_event(t){this.pv.mode==dO.indexOf(uO.CPU)?this.cpuController.updateMouse(t):this.gpuController.updateMouse(t)}_process_trigger_event_throttled(t){const e=this._last_event_processed_at,n=li.performance.performanceManager().now();this._last_event_processed_at=n;const i=n-e;i{this._process_trigger_event(t)}),hO-i):this._process_trigger_event(t)}_process_trigger_event(t){this.pv.mode==dO.indexOf(uO.CPU)?this.cpuController.processEvent(t):this.gpuController.processEvent(t)}_process_trigger_update_objects(t){this.pv.mode==dO.indexOf(uO.CPU)&&this.cpuController.update_target()}_process_trigger_vel_reset(t){this.pv.mode==dO.indexOf(uO.CPU)&&this.cpuController.velocity_controller.reset()}}var bO;xO.INPUT_TRIGGER=\\\\\\\"trigger\\\\\\\",xO.INPUT_MOUSE=\\\\\\\"mouse\\\\\\\",xO.INPUT_UPDATE_OBJECTS=\\\\\\\"updateObjects\\\\\\\",xO.INPUT_TRIGGER_VEL_RESET=\\\\\\\"triggerVelReset\\\\\\\",xO.OUTPUT_HIT=\\\\\\\"hit\\\\\\\",xO.OUTPUT_MISS=\\\\\\\"miss\\\\\\\",function(t){t.SET=\\\\\\\"set\\\\\\\",t.TOGGLE=\\\\\\\"toggle\\\\\\\"}(bO||(bO={}));const wO=[bO.SET,bO.TOGGLE];const TO=new class extends ua{constructor(){super(...arguments),this.mask=ha.STRING(\\\\\\\"/geo*\\\\\\\",{separatorAfter:!0}),this.tdisplay=ha.BOOLEAN(0),this.displayMode=ha.INTEGER(wO.indexOf(bO.SET),{visibleIf:{tdisplay:1},menu:{entries:wO.map(((t,e)=>({name:t,value:e})))}}),this.display=ha.BOOLEAN(0,{visibleIf:{tdisplay:1,displayMode:wO.indexOf(bO.SET)},separatorAfter:!0}),this.tbypass=ha.BOOLEAN(0),this.bypassMode=ha.INTEGER(wO.indexOf(bO.SET),{visibleIf:{tbypass:1},menu:{entries:wO.map(((t,e)=>({name:t,value:e})))}}),this.bypass=ha.BOOLEAN(0,{visibleIf:{tbypass:1,displayMode:wO.indexOf(bO.SET)}}),this.execute=ha.BUTTON(null,{callback:t=>{AO.PARAM_CALLBACK_execute(t)}})}};class AO extends Va{constructor(){super(...arguments),this.paramsConfig=TO}static type(){return\\\\\\\"setFlag\\\\\\\"}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(\\\\\\\"trigger\\\\\\\",Qo.BASE)])}async processEvent(t){let e=this.pv.mask;if(t.value){const n=t.value.node;if(n){const t=n.parent();t&&(e=`${t.path()}/${e}`)}}const n=this.scene().nodesController.nodesFromMask(e);for(let t of n)this._update_node_flags(t)}_update_node_flags(t){this._update_node_display_flag(t),this._update_node_bypass_flag(t)}_update_node_display_flag(t){var e;if(!this.pv.tdisplay)return;if(!(null===(e=t.flags)||void 0===e?void 0:e.hasDisplay()))return;const n=t.flags.display;if(!n)return;const i=wO[this.pv.displayMode];switch(i){case bO.SET:return void n.set(this.pv.display);case bO.TOGGLE:return void n.set(!n.active())}os.unreachable(i)}_update_node_bypass_flag(t){var e;if(!this.pv.tbypass)return;if(!(null===(e=t.flags)||void 0===e?void 0:e.hasBypass()))return;const n=t.flags.bypass;if(!n)return;const i=wO[this.pv.bypassMode];switch(i){case bO.SET:return void n.set(this.pv.bypass);case bO.TOGGLE:return void n.set(!n.active())}os.unreachable(i)}static PARAM_CALLBACK_execute(t){t.processEvent({})}}var MO;!function(t){t.BOOLEAN=\\\\\\\"boolean\\\\\\\",t.BUTTON=\\\\\\\"button\\\\\\\",t.NUMBER=\\\\\\\"number\\\\\\\",t.VECTOR2=\\\\\\\"vector2\\\\\\\",t.VECTOR3=\\\\\\\"vector3\\\\\\\",t.VECTOR4=\\\\\\\"vector4\\\\\\\",t.STRING=\\\\\\\"string\\\\\\\"}(MO||(MO={}));const EO=[MO.BOOLEAN,MO.BUTTON,MO.NUMBER,MO.VECTOR2,MO.VECTOR3,MO.VECTOR4,MO.STRING],SO=EO.indexOf(MO.BOOLEAN),CO=EO.indexOf(MO.NUMBER),NO=EO.indexOf(MO.VECTOR2),LO=EO.indexOf(MO.VECTOR3),OO=EO.indexOf(MO.VECTOR4),PO=EO.indexOf(MO.STRING),RO=\\\\\\\"output\\\\\\\";const IO=new class extends ua{constructor(){super(...arguments),this.param=ha.PARAM_PATH(\\\\\\\"\\\\\\\",{paramSelection:!0,computeOnDirty:!0}),this.type=ha.INTEGER(CO,{menu:{entries:EO.map(((t,e)=>({name:t,value:e})))}}),this.toggle=ha.BOOLEAN(0,{visibleIf:{type:SO}}),this.boolean=ha.BOOLEAN(0,{visibleIf:{type:SO,toggle:0}}),this.number=ha.FLOAT(0,{visibleIf:{type:CO}}),this.vector2=ha.VECTOR2([0,0],{visibleIf:{type:NO}}),this.vector3=ha.VECTOR3([0,0,0],{visibleIf:{type:LO}}),this.vector4=ha.VECTOR4([0,0,0,0],{visibleIf:{type:OO}}),this.increment=ha.BOOLEAN(0,{visibleIf:[{type:CO},{type:NO},{type:LO},{type:OO}]}),this.string=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:{type:PO}}),this.execute=ha.BUTTON(null,{callback:t=>{FO.PARAM_CALLBACK_execute(t)}})}};class FO extends Va{constructor(){super(...arguments),this.paramsConfig=IO,this._tmp_vector2=new d.a,this._tmp_vector3=new p.a,this._tmp_vector4=new _.a,this._tmp_array2=[0,0],this._tmp_array3=[0,0,0],this._tmp_array4=[0,0,0,0]}static type(){return\\\\\\\"setParam\\\\\\\"}initializeNode(){this.io.inputs.setNamedInputConnectionPoints([new ta(\\\\\\\"trigger\\\\\\\",Qo.BASE)]),this.io.outputs.setNamedOutputConnectionPoints([new ta(RO,Qo.BASE)]),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.param])}))}))}async processEvent(t){this.p.param.isDirty()&&await this.p.param.compute();const e=this.p.param.value.param();if(e){const t=await this._new_param_value(e);null!=t&&e.set(t)}else this.states.error.set(\\\\\\\"target param not found\\\\\\\");this.dispatchEventToOutput(RO,t)}async _new_param_value(t){const e=EO[this.pv.type];switch(e){case MO.BOOLEAN:return await this._compute_params_if_dirty([this.p.toggle]),this.pv.toggle?t.value?0:1:this.pv.boolean?1:0;case MO.BUTTON:return t.options.executeCallback();case MO.NUMBER:return await this._compute_params_if_dirty([this.p.increment,this.p.number]),this.pv.increment?t.type()==Cr.FLOAT?t.value+this.pv.number:t.value:this.pv.number;case MO.VECTOR2:return await this._compute_params_if_dirty([this.p.increment,this.p.vector2]),this.pv.increment?t.type()==Cr.VECTOR2?(this._tmp_vector2.copy(t.value),this._tmp_vector2.add(this.pv.vector2),this._tmp_vector2.toArray(this._tmp_array2)):t.value.toArray(this._tmp_array2):this.pv.vector2.toArray(this._tmp_array2),this._tmp_array2;case MO.VECTOR3:return await this._compute_params_if_dirty([this.p.increment,this.p.vector3]),this.pv.increment?t.type()==Cr.VECTOR3?(this._tmp_vector3.copy(t.value),this._tmp_vector3.add(this.pv.vector3),this._tmp_vector3.toArray(this._tmp_array3)):t.value.toArray(this._tmp_array3):this.pv.vector3.toArray(this._tmp_array3),this._tmp_array3;case MO.VECTOR4:return await this._compute_params_if_dirty([this.p.increment,this.p.vector4]),this.pv.increment?t.type()==Cr.VECTOR4?(this._tmp_vector4.copy(t.value),this._tmp_vector4.add(this.pv.vector4),this._tmp_vector4.toArray(this._tmp_array4)):t.value.toArray(this._tmp_array4):this.pv.vector4.toArray(this._tmp_array4),this._tmp_array4;case MO.STRING:return await this._compute_params_if_dirty([this.p.string]),this.pv.string}os.unreachable(e)}static PARAM_CALLBACK_execute(t){t.processEvent({})}async _compute_params_if_dirty(t){const e=[];for(let n of t)n.isDirty()&&e.push(n);const n=[];for(let t of e)n.push(t.compute());return await Promise.all(n)}}const DO=new class extends ua{constructor(){super(...arguments),this.outputsCount=ha.INTEGER(5,{range:[1,10],rangeLocked:[!0,!1]})}};class BO extends Va{constructor(){super(...arguments),this.paramsConfig=DO}static type(){return\\\\\\\"sequence\\\\\\\"}initializeNode(){this.io.connection_points.set_input_name_function((()=>\\\\\\\"trigger\\\\\\\")),this.io.connection_points.set_expected_input_types_function((()=>[Qo.BASE])),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this)),this.io.connection_points.set_output_name_function(this._output_name.bind(this))}_expected_output_types(){const t=new Array(this.pv.outputsCount);return t.fill(Qo.BASE),t}_output_name(t){return`out${t}`}processEvent(t){const e=this.pv.outputsCount;for(let n=0;n{this._timer_active&&(this.pv.count<=0||this._current_count{var e;null===(e=t.controlsController)||void 0===e||e.create_controls()}))}_process_trigger_disposeControls(t){this.scene().viewersRegister.traverseViewers((t=>{var e;null===(e=t.controlsController)||void 0===e||e.dispose_controls()}))}}class HO extends aa{static context(){return ts.EVENT}cook(){this.cookController.endCook()}}class jO extends HO{}class WO extends jO{constructor(){super(...arguments),this._children_controller_context=ts.ANIM}static type(){return es.ANIM}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class qO extends jO{constructor(){super(...arguments),this._children_controller_context=ts.COP}static type(){return es.COP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class XO extends jO{constructor(){super(...arguments),this._children_controller_context=ts.EVENT}static type(){return es.EVENT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class YO extends jO{constructor(){super(...arguments),this._children_controller_context=ts.MAT}static type(){return es.MAT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class $O extends HO{constructor(){super(...arguments),this.paramsConfig=new ef,this.effectsComposerController=new nf(this),this.displayNodeController=new Fm(this,this.effectsComposerController.displayNodeControllerCallbacks()),this._children_controller_context=ts.POST}static type(){return es.POST}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class JO extends jO{constructor(){super(...arguments),this._children_controller_context=ts.ROP}static type(){return es.ROP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}const ZO=\\\\\\\"int\\\\\\\";const KO=new class extends ua{constructor(){super(...arguments),this.float=ha.FLOAT(0)}};class QO extends gf{constructor(){super(...arguments),this.paramsConfig=KO}static type(){return\\\\\\\"floatToInt\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(ZO,Uo.INT)])}setLines(t){const e=this.variableForInputParam(this.p.float),n=`int ${this.glVarName(ZO)} = int(${mf.float(e)})`;t.addBodyLines(this,[n])}}const tP=\\\\\\\"float\\\\\\\";const eP=new class extends ua{constructor(){super(...arguments),this.int=ha.INTEGER(0)}};class nP extends gf{constructor(){super(...arguments),this.paramsConfig=eP}static type(){return\\\\\\\"intToFloat\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(tP,Uo.FLOAT)])}setLines(t){const e=this.variableForInputParam(this.p.int),n=`float ${this.glVarName(tP)} = float(${mf.integer(e)})`;t.addBodyLines(this,[n])}}const iP=\\\\\\\"bool\\\\\\\";const sP=new class extends ua{constructor(){super(...arguments),this.int=ha.INTEGER(0)}};class rP extends gf{constructor(){super(...arguments),this.paramsConfig=sP}static type(){return\\\\\\\"intToBool\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(iP,Uo.BOOL)])}setLines(t){const e=this.variableForInputParam(this.p.int),n=`bool ${this.glVarName(iP)} = bool(${mf.integer(e)})`;t.addBodyLines(this,[n])}}const oP=new class extends ua{constructor(){super(...arguments),this.bool=ha.BOOLEAN(0)}};class aP extends gf{constructor(){super(...arguments),this.paramsConfig=oP}static type(){return\\\\\\\"boolToInt\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(ZO,Uo.INT)])}setLines(t){const e=this.variableForInputParam(this.p.bool),n=`int ${this.glVarName(ZO)} = int(${mf.bool(e)})`;t.addBodyLines(this,[n])}}const lP=new class extends ua{constructor(){super(...arguments),this.x=ha.FLOAT(0),this.y=ha.FLOAT(0)}};class cP extends gf{constructor(){super(...arguments),this.paramsConfig=lP}static type(){return\\\\\\\"floatToVec2\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(cP.OUTPUT_NAME,Uo.VEC2)])}setLines(t){const e=this.variableForInputParam(this.p.x),n=this.variableForInputParam(this.p.y),i=`vec2 ${this.glVarName(cP.OUTPUT_NAME)} = ${mf.float2(e,n)}`;t.addBodyLines(this,[i])}}cP.OUTPUT_NAME=\\\\\\\"vec2\\\\\\\";const hP=new class extends ua{constructor(){super(...arguments),this.x=ha.FLOAT(0),this.y=ha.FLOAT(0),this.z=ha.FLOAT(0)}};class uP extends gf{constructor(){super(...arguments),this.paramsConfig=hP}static type(){return\\\\\\\"floatToVec3\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(uP.OUTPUT_NAME,Uo.VEC3)])}setLines(t){const e=this.variableForInputParam(this.p.x),n=this.variableForInputParam(this.p.y),i=this.variableForInputParam(this.p.z),s=`vec3 ${this.glVarName(uP.OUTPUT_NAME)} = ${mf.float3(e,n,i)}`;t.addBodyLines(this,[s])}}uP.OUTPUT_NAME=\\\\\\\"vec3\\\\\\\";const dP=new class extends ua{constructor(){super(...arguments),this.x=ha.FLOAT(0),this.y=ha.FLOAT(0),this.z=ha.FLOAT(0),this.w=ha.FLOAT(0)}};class pP extends gf{constructor(){super(...arguments),this.paramsConfig=dP}static type(){return\\\\\\\"floatToVec4\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(pP.OUTPUT_NAME,Uo.VEC4)])}setLines(t){const e=this.variableForInputParam(this.p.x),n=this.variableForInputParam(this.p.y),i=this.variableForInputParam(this.p.z),s=this.variableForInputParam(this.p.w),r=`vec4 ${this.glVarName(pP.OUTPUT_NAME)} = ${mf.float4(e,n,i,s)}`;t.addBodyLines(this,[r])}}pP.OUTPUT_NAME=\\\\\\\"vec4\\\\\\\";const _P=new class extends ua{};class mP extends gf{constructor(){super(...arguments),this.paramsConfig=_P}}function fP(t,e){const n=e.components,i=e.param_type;return class extends mP{static type(){return t}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints(n.map((t=>new qo(t,Uo.FLOAT))))}createParams(){this.addParam(i,\\\\\\\"vec\\\\\\\",n.map((t=>0)))}setLines(t){const e=[],n=this.variableForInput(\\\\\\\"vec\\\\\\\");this.io.outputs.used_output_names().forEach((t=>{const i=this.glVarName(t);e.push(`float ${i} = ${n}.${t}`)})),t.addBodyLines(this,e)}}}const gP=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\"],vP=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\"],yP=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\",\\\\\\\"w\\\\\\\"];class xP extends(fP(\\\\\\\"vec2ToFloat\\\\\\\",{components:[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\"],param_type:Cr.VECTOR2})){}class bP extends(fP(\\\\\\\"vec3ToFloat\\\\\\\",{components:[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\"],param_type:Cr.VECTOR3})){}class wP extends(fP(\\\\\\\"vec4ToFloat\\\\\\\",{components:yP,param_type:Cr.VECTOR4})){}class TP extends mP{static type(){return\\\\\\\"vec4ToVec3\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(TP.OUTPUT_NAME_VEC3,Uo.VEC3),new qo(TP.OUTPUT_NAME_W,Uo.FLOAT)])}createParams(){this.addParam(Cr.VECTOR4,TP.INPUT_NAME_VEC4,yP.map((t=>0)))}setLines(t){const e=[],n=TP.INPUT_NAME_VEC4,i=TP.OUTPUT_NAME_VEC3,s=TP.OUTPUT_NAME_W,r=this.variableForInput(n),o=this.io.outputs.used_output_names();if(o.indexOf(i)>=0){const t=this.glVarName(i);e.push(`vec3 ${t} = ${r}.xyz`)}if(o.indexOf(s)>=0){const t=this.glVarName(s);e.push(`float ${t} = ${r}.w`)}t.addBodyLines(this,e)}}TP.INPUT_NAME_VEC4=\\\\\\\"vec4\\\\\\\",TP.OUTPUT_NAME_VEC3=\\\\\\\"vec3\\\\\\\",TP.OUTPUT_NAME_W=\\\\\\\"w\\\\\\\";class AP extends mP{static type(){return\\\\\\\"vec3ToVec2\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(AP.OUTPUT_NAME_VEC2,Uo.VEC2),new qo(AP.OUTPUT_NAME_Z,Uo.FLOAT)])}createParams(){this.addParam(Cr.VECTOR3,AP.INPUT_NAME_VEC3,vP.map((t=>0)))}setLines(t){const e=[],n=AP.INPUT_NAME_VEC3,i=AP.OUTPUT_NAME_VEC2,s=AP.OUTPUT_NAME_Z,r=this.variableForInput(n),o=this.io.outputs.used_output_names();if(o.indexOf(i)>=0){const t=this.glVarName(i);e.push(`vec2 ${t} = ${r}.xy`)}if(o.indexOf(s)>=0){const t=this.glVarName(s);e.push(`float ${t} = ${r}.z`)}t.addBodyLines(this,e)}}AP.INPUT_NAME_VEC3=\\\\\\\"vec3\\\\\\\",AP.OUTPUT_NAME_VEC2=\\\\\\\"vec2\\\\\\\",AP.OUTPUT_NAME_Z=\\\\\\\"z\\\\\\\";class MP extends mP{static type(){return\\\\\\\"vec2ToVec3\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(MP.OUTPUT_NAME_VEC3,Uo.VEC3)])}createParams(){this.addParam(Cr.VECTOR2,MP.INPUT_NAME_VEC2,gP.map((t=>0))),this.addParam(Cr.FLOAT,MP.INPUT_NAME_Z,0)}setLines(t){const e=[],n=MP.INPUT_NAME_VEC2,i=MP.INPUT_NAME_Z,s=MP.OUTPUT_NAME_VEC3,r=this.variableForInput(n),o=this.variableForInput(i),a=this.glVarName(s);e.push(`vec3 ${a} = vec3(${r}.xy, ${o})`),t.addBodyLines(this,e)}}MP.INPUT_NAME_VEC2=\\\\\\\"vec3\\\\\\\",MP.INPUT_NAME_Z=\\\\\\\"z\\\\\\\",MP.OUTPUT_NAME_VEC3=\\\\\\\"vec3\\\\\\\";class EP extends mP{static type(){return\\\\\\\"vec3ToVec4\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(EP.OUTPUT_NAME_VEC4,Uo.VEC4)])}createParams(){this.addParam(Cr.VECTOR3,EP.INPUT_NAME_VEC3,vP.map((t=>0))),this.addParam(Cr.FLOAT,EP.INPUT_NAME_W,0)}setLines(t){const e=[],n=EP.INPUT_NAME_VEC3,i=EP.INPUT_NAME_W,s=EP.OUTPUT_NAME_VEC4,r=this.variableForInput(n),o=this.variableForInput(i),a=this.glVarName(s);e.push(`vec4 ${a} = vec4(${r}.xyz, ${o})`),t.addBodyLines(this,e)}}EP.INPUT_NAME_VEC3=\\\\\\\"vec3\\\\\\\",EP.INPUT_NAME_W=\\\\\\\"w\\\\\\\",EP.OUTPUT_NAME_VEC4=\\\\\\\"vec4\\\\\\\";const SP=new class extends ua{};class CP extends gf{constructor(){super(...arguments),this.paramsConfig=SP}gl_method_name(){return\\\\\\\"\\\\\\\"}gl_function_definitions(){return[]}initializeNode(){super.initializeNode(),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this)),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this))}_expected_input_types(){const t=this.io.connection_points.first_input_connection_type()||Uo.FLOAT;if(this.io.connections.firstInputConnection()){const e=this.io.connections.inputConnections();if(e){let n=Math.max(f.compact(e).length+1,2);return f.range(n).map((e=>t))}return[]}return f.range(2).map((e=>t))}_expected_output_types(){return[this._expected_input_types()[0]]}_gl_input_name(t){return\\\\\\\"in\\\\\\\"}setLines(t){const e=this.io.outputs.namedOutputConnectionPoints()[0].type(),n=this.io.inputs.namedInputConnectionPoints().map(((t,e)=>{const n=t.name();return mf.any(this.variableForInput(n))})).join(\\\\\\\", \\\\\\\"),i=`${e} ${this.glVarName(this.io.connection_points.output_name(0))} = ${this.gl_method_name()}(${n})`;t.addBodyLines(this,[i]),t.addDefinitions(this,this.gl_function_definitions())}}class NP extends CP{_gl_input_name(t){return\\\\\\\"in\\\\\\\"}_expected_input_types(){return[this.io.connection_points.first_input_connection_type()||Uo.FLOAT]}}class LP extends CP{_expected_input_types(){const t=this.io.connection_points.first_input_connection_type()||Uo.FLOAT;return[t,t]}}class OP extends CP{_expected_input_types(){const t=this.io.connection_points.first_input_connection_type()||Uo.FLOAT;return[t,t,t]}}class PP extends CP{_expected_input_types(){const t=this.io.connection_points.first_input_connection_type()||Uo.FLOAT;return[t,t,t,t]}}class RP extends CP{_expected_input_types(){const t=this.io.connection_points.first_input_connection_type()||Uo.FLOAT;return[t,t,t,t,t]}}function IP(t,e={}){const n=e.method||t,i=e.out||\\\\\\\"val\\\\\\\",s=e.in||\\\\\\\"in\\\\\\\";return class extends NP{static type(){return t}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_output_name_function(this._gl_output_name.bind(this))}_gl_input_name(t){return s}_gl_output_name(t){return i}gl_method_name(){return n}}}class FP extends(IP(\\\\\\\"abs\\\\\\\")){}class DP extends(IP(\\\\\\\"acos\\\\\\\",{out:\\\\\\\"radians\\\\\\\"})){}class BP extends(IP(\\\\\\\"asin\\\\\\\",{out:\\\\\\\"radians\\\\\\\"})){}class zP extends(IP(\\\\\\\"atan\\\\\\\",{out:\\\\\\\"radians\\\\\\\"})){}class kP extends(IP(\\\\\\\"ceil\\\\\\\")){}class UP extends(IP(\\\\\\\"cos\\\\\\\",{in:\\\\\\\"radians\\\\\\\"})){}class GP extends(IP(\\\\\\\"degrees\\\\\\\",{in:\\\\\\\"radians\\\\\\\",out:\\\\\\\"degrees\\\\\\\"})){}class VP extends(IP(\\\\\\\"exp\\\\\\\")){}class HP extends(IP(\\\\\\\"exp2\\\\\\\")){}class jP extends(IP(\\\\\\\"floor\\\\\\\")){}class WP extends(IP(\\\\\\\"fract\\\\\\\")){}class qP extends(IP(\\\\\\\"inverseSqrt\\\\\\\",{method:\\\\\\\"inversesqrt\\\\\\\"})){}class XP extends(IP(\\\\\\\"log\\\\\\\")){}class YP extends(IP(\\\\\\\"log2\\\\\\\")){}class $P extends(IP(\\\\\\\"normalize\\\\\\\",{out:\\\\\\\"normalized\\\\\\\"})){}class JP extends(IP(\\\\\\\"radians\\\\\\\",{in:\\\\\\\"degrees\\\\\\\",out:\\\\\\\"radians\\\\\\\"})){}class ZP extends(IP(\\\\\\\"sign\\\\\\\")){}class KP extends(IP(\\\\\\\"sin\\\\\\\",{in:\\\\\\\"radians\\\\\\\"})){}class QP extends(IP(\\\\\\\"sqrt\\\\\\\")){}class tR extends(IP(\\\\\\\"tan\\\\\\\")){}function eR(t,e={}){const n=e.method||t,i=e.out||\\\\\\\"val\\\\\\\",s=e.in||[\\\\\\\"in0\\\\\\\",\\\\\\\"in1\\\\\\\"],r=e.default_in_type,o=e.allowed_in_types,a=e.out_type,l=e.functions||[];return class extends LP{static type(){return t}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_output_name_function(this._gl_output_name.bind(this)),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),a&&this.io.connection_points.set_expected_output_types_function((()=>[a]))}_gl_input_name(t){return s[t]}_gl_output_name(t){return i}gl_method_name(){return n}gl_function_definitions(){return l?l.map((t=>new Cf(this,t))):[]}_expected_input_types(){let t=this.io.connection_points.first_input_connection_type();if(t&&o&&!o.includes(t)){const e=this.io.inputs.namedInputConnectionPoints()[0];t=e?e.type():r}const e=t||r||Uo.FLOAT;return[e,e]}}}class nR extends(eR(\\\\\\\"distance\\\\\\\",{in:[\\\\\\\"p0\\\\\\\",\\\\\\\"p1\\\\\\\"],default_in_type:Uo.VEC3,allowed_in_types:[Uo.VEC2,Uo.VEC3,Uo.VEC4],out_type:Uo.FLOAT})){}class iR extends(eR(\\\\\\\"dot\\\\\\\",{in:[\\\\\\\"vec0\\\\\\\",\\\\\\\"vec1\\\\\\\"],default_in_type:Uo.VEC3,allowed_in_types:[Uo.VEC2,Uo.VEC3,Uo.VEC4],out_type:Uo.FLOAT})){}class sR extends(eR(\\\\\\\"max\\\\\\\")){}class rR extends(eR(\\\\\\\"min\\\\\\\")){}class oR extends(eR(\\\\\\\"mod\\\\\\\")){paramDefaultValue(t){return{in1:1}[t]}_expected_input_types(){const t=Uo.FLOAT;return[t,t]}}class aR extends(eR(\\\\\\\"pow\\\\\\\",{in:[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\"]})){}class lR extends(eR(\\\\\\\"reflect\\\\\\\",{in:[\\\\\\\"I\\\\\\\",\\\\\\\"N\\\\\\\"],default_in_type:Uo.VEC3})){}class cR extends(eR(\\\\\\\"step\\\\\\\",{in:[\\\\\\\"edge\\\\\\\",\\\\\\\"x\\\\\\\"]})){}function hR(t,e={}){const n=e.method||t,i=e.out||\\\\\\\"val\\\\\\\",s=e.in||[\\\\\\\"in0\\\\\\\",\\\\\\\"in1\\\\\\\",\\\\\\\"in2\\\\\\\"],r=e.default||{},o=e.out_type||Uo.FLOAT,a=e.functions||[];return class extends OP{static type(){return t}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_output_name_function(this._gl_output_name.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this))}_gl_input_name(t){return s[t]}_gl_output_name(t){return i}gl_method_name(){return n}_expected_output_types(){return[o]}paramDefaultValue(t){return r[t]}gl_function_definitions(){return a.map((t=>new Cf(this,t)))}}}class uR extends(hR(\\\\\\\"clamp\\\\\\\",{in:[\\\\\\\"value\\\\\\\",\\\\\\\"min\\\\\\\",\\\\\\\"max\\\\\\\"],default:{max:1}})){_expected_output_types(){return[this._expected_input_types()[0]]}}class dR extends(hR(\\\\\\\"faceForward\\\\\\\",{in:[\\\\\\\"N\\\\\\\",\\\\\\\"I\\\\\\\",\\\\\\\"Nref\\\\\\\"]})){}class pR extends(hR(\\\\\\\"smoothstep\\\\\\\",{in:[\\\\\\\"edge0\\\\\\\",\\\\\\\"edge1\\\\\\\",\\\\\\\"x\\\\\\\"],default:{edge1:1}})){_expected_output_types(){return[this._expected_input_types()[0]]}}function _R(t,e){const n=e.in_prefix||t,i=e.out||\\\\\\\"val\\\\\\\",s=e.operation,r=e.allowed_in_types;return class extends LP{static type(){return t}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_output_name_function(this._gl_output_name.bind(this)),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this))}setLines(t){const e=this.io.outputs.namedOutputConnectionPoints()[0].type(),n=this.io.inputs.namedInputConnectionPoints().map(((t,e)=>{const n=t.name(),i=this.variableForInput(n);if(i)return mf.any(i)})).join(` ${this.gl_operation()} `),i=`${e} ${this.glVarName(this.io.connection_points.output_name(0))} = ${this.gl_method_name()}(${n})`;t.addBodyLines(this,[i])}_gl_input_name(t){return`${n}${t}`}_gl_output_name(t){return i}gl_operation(){return s}_expected_input_types(){let t=this.io.connection_points.first_input_connection_type();if(t&&r&&!r.includes(t)){const e=this.io.inputs.namedInputConnectionPoints()[0];e&&(t=e.type())}const e=t||Uo.FLOAT,n=this.io.connections.existingInputConnections(),i=n?Math.max(n.length+1,2):2,s=[];for(let t=0;t{const n=t.name();return mf.any(this.variableForInput(n))})).join(` ${this.boolean_operation()} `),n=`bool ${this.glVarName(this.io.connection_points.output_name(0))} = ${e}`;t.addBodyLines(this,[n])}}function xR(t,e){return class extends yR{static type(){return t}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_output_name_function(this._gl_output_name.bind(this))}boolean_operation(){return e.op}_gl_output_name(e){return t}_gl_input_name(e=0){return`${t}${e}`}}}class bR extends(xR(\\\\\\\"and\\\\\\\",{op:\\\\\\\"&&\\\\\\\"})){}class wR extends(xR(\\\\\\\"or\\\\\\\",{op:\\\\\\\"||\\\\\\\"})){}var TR;!function(t){t.TIME=\\\\\\\"time\\\\\\\",t.DELTA_TIME=\\\\\\\"delta_time\\\\\\\"}(TR||(TR={}));var AR,MR;!function(t){t.POSITION=\\\\\\\"position\\\\\\\",t.VELOCITY=\\\\\\\"velocity\\\\\\\",t.MASS=\\\\\\\"mass\\\\\\\",t.FORCE=\\\\\\\"force\\\\\\\"}(AR||(AR={})),function(t){t.POSITION=\\\\\\\"position\\\\\\\",t.VELOCITY=\\\\\\\"velocity\\\\\\\"}(MR||(MR={}));const ER=[AR.POSITION,AR.VELOCITY,AR.MASS,AR.FORCE],SR=[MR.POSITION,MR.VELOCITY],CR={[AR.POSITION]:[0,0,0],[AR.VELOCITY]:[0,0,0],[AR.MASS]:1,[AR.FORCE]:[0,-9.8,0]};const NR=new class extends ua{};class LR extends gf{constructor(){super(...arguments),this.paramsConfig=NR}static type(){return\\\\\\\"acceleration\\\\\\\"}initializeNode(){super.initializeNode(),this.io.outputs.setNamedOutputConnectionPoints([new qo(MR.POSITION,Uo.VEC3),new qo(MR.VELOCITY,Uo.VEC3)]),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this)),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_output_name_function(this._gl_output_name.bind(this))}_expected_input_types(){const t=this.io.connection_points.first_input_connection_type()||Uo.VEC3;return[t,t,Uo.FLOAT,t]}_expected_output_types(){const t=this._expected_input_types()[0];return[t,t]}_gl_input_name(t){return ER[t]}_gl_output_name(t){return SR[t]}paramDefaultValue(t){return CR[t]}setLines(t){const e=this.io.outputs.namedOutputConnectionPoints()[0].type(),n=new Nf(this,Uo.FLOAT,TR.DELTA_TIME),i=new Cf(this,\\\\\\\"float compute_velocity_from_acceleration(float vel, float force, float mass, float time_delta){\\\\n\\\\tfloat impulse = (force * mass) * time_delta;\\\\n\\\\treturn vel + impulse;\\\\n}\\\\nvec2 compute_velocity_from_acceleration(vec2 vel, vec2 force, float mass, float time_delta){\\\\n\\\\tvec2 impulse = (force * mass) * time_delta;\\\\n\\\\treturn vel + impulse;\\\\n}\\\\nvec3 compute_velocity_from_acceleration(vec3 vel, vec3 force, float mass, float time_delta){\\\\n\\\\tvec3 impulse = (force * mass) * time_delta;\\\\n\\\\treturn vel + impulse;\\\\n}\\\\nvec4 compute_velocity_from_acceleration(vec4 vel, vec4 force, float mass, float time_delta){\\\\n\\\\tvec4 impulse = (force * mass) * time_delta;\\\\n\\\\treturn vel + impulse;\\\\n}\\\\nfloat compute_position_from_velocity(float position, float velocity, float time_delta){\\\\n\\\\treturn position + (velocity * time_delta);\\\\n}\\\\nvec2 compute_position_from_velocity(vec2 position, vec2 velocity, float time_delta){\\\\n\\\\treturn position + (velocity * time_delta);\\\\n}\\\\nvec3 compute_position_from_velocity(vec3 position, vec3 velocity, float time_delta){\\\\n\\\\treturn position + (velocity * time_delta);\\\\n}\\\\nvec4 compute_position_from_velocity(vec4 position, vec4 velocity, float time_delta){\\\\n\\\\treturn position + (velocity * time_delta);\\\\n}\\\\\\\");t.addDefinitions(this,[n,i]);const s=mf.any(this.variableForInput(AR.POSITION)),r=mf.any(this.variableForInput(AR.VELOCITY)),o=mf.float(this.variableForInput(AR.MASS)),a=mf.any(this.variableForInput(AR.FORCE)),l=this.glVarName(MR.POSITION),c=this.glVarName(MR.VELOCITY),h=`${e} ${c} = compute_velocity_from_acceleration(${[r,a,o,TR.DELTA_TIME].join(\\\\\\\", \\\\\\\")})`,u=`${e} ${l} = compute_position_from_velocity(${[s,c,TR.DELTA_TIME].join(\\\\\\\", \\\\\\\")})`;t.addBodyLines(this,[h,u])}}var OR,PR=\\\\\\\"\\\\n\\\\n// https://github.com/mattatz/ShibuyaCrowd/blob/master/source/shaders/common/quaternion.glsl\\\\nvec4 quatMult(vec4 q1, vec4 q2)\\\\n{\\\\n\\\\treturn vec4(\\\\n\\\\tq1.w * q2.x + q1.x * q2.w + q1.z * q2.y - q1.y * q2.z,\\\\n\\\\tq1.w * q2.y + q1.y * q2.w + q1.x * q2.z - q1.z * q2.x,\\\\n\\\\tq1.w * q2.z + q1.z * q2.w + q1.y * q2.x - q1.x * q2.y,\\\\n\\\\tq1.w * q2.w - q1.x * q2.x - q1.y * q2.y - q1.z * q2.z\\\\n\\\\t);\\\\n}\\\\n// http://glmatrix.net/docs/quat.js.html#line97\\\\n// let ax = a[0], ay = a[1], az = a[2], aw = a[3];\\\\n\\\\n// let bx = b[0], by = b[1], bz = b[2], bw = b[3];\\\\n\\\\n// out[0] = ax * bw + aw * bx + ay * bz - az * by;\\\\n\\\\n// out[1] = ay * bw + aw * by + az * bx - ax * bz;\\\\n\\\\n// out[2] = az * bw + aw * bz + ax * by - ay * bx;\\\\n\\\\n// out[3] = aw * bw - ax * bx - ay * by - az * bz;\\\\n\\\\n// return out\\\\n\\\\n\\\\n\\\\n// http://www.neilmendoza.com/glsl-rotation-about-an-arbitrary-axis/\\\\nmat4 rotationMatrix(vec3 axis, float angle)\\\\n{\\\\n\\\\taxis = normalize(axis);\\\\n\\\\tfloat s = sin(angle);\\\\n\\\\tfloat c = cos(angle);\\\\n\\\\tfloat oc = 1.0 - c;\\\\n\\\\n \\\\treturn mat4(oc * axis.x * axis.x + c, oc * axis.x * axis.y - axis.z * s, oc * axis.z * axis.x + axis.y * s, 0.0, oc * axis.x * axis.y + axis.z * s, oc * axis.y * axis.y + c, oc * axis.y * axis.z - axis.x * s, 0.0, oc * axis.z * axis.x - axis.y * s, oc * axis.y * axis.z + axis.x * s, oc * axis.z * axis.z + c, 0.0, 0.0, 0.0, 0.0, 1.0);\\\\n}\\\\n\\\\n// https://www.geeks3d.com/20141201/how-to-rotate-a-vertex-by-a-quaternion-in-glsl/\\\\nvec4 quatFromAxisAngle(vec3 axis, float angle)\\\\n{\\\\n\\\\tvec4 qr;\\\\n\\\\tfloat half_angle = (angle * 0.5); // * 3.14159 / 180.0;\\\\n\\\\tfloat sin_half_angle = sin(half_angle);\\\\n\\\\tqr.x = axis.x * sin_half_angle;\\\\n\\\\tqr.y = axis.y * sin_half_angle;\\\\n\\\\tqr.z = axis.z * sin_half_angle;\\\\n\\\\tqr.w = cos(half_angle);\\\\n\\\\treturn qr;\\\\n}\\\\nvec3 rotateWithAxisAngle(vec3 position, vec3 axis, float angle)\\\\n{\\\\n\\\\tvec4 q = quatFromAxisAngle(axis, angle);\\\\n\\\\tvec3 v = position.xyz;\\\\n\\\\treturn v + 2.0 * cross(q.xyz, cross(q.xyz, v) + q.w * v);\\\\n}\\\\n// vec3 applyQuaternionToVector( vec4 q, vec3 v ){\\\\n// \\\\treturn v + 2.0 * cross( q.xyz, cross( q.xyz, v ) + q.w * v );\\\\n// }\\\\nvec3 rotateWithQuat( vec3 v, vec4 q )\\\\n{\\\\n\\\\t// vec4 qv = multQuat( quat, vec4(vec, 0.0) );\\\\n\\\\t// return multQuat( qv, vec4(-quat.x, -quat.y, -quat.z, quat.w) ).xyz;\\\\n\\\\treturn v + 2.0 * cross( q.xyz, cross( q.xyz, v ) + q.w * v );\\\\n}\\\\n// https://github.com/glslify/glsl-look-at/blob/gh-pages/index.glsl\\\\n// mat3 rotation_matrix(vec3 origin, vec3 target, float roll) {\\\\n// \\\\tvec3 rr = vec3(sin(roll), cos(roll), 0.0);\\\\n// \\\\tvec3 ww = normalize(target - origin);\\\\n// \\\\tvec3 uu = normalize(cross(ww, rr));\\\\n// \\\\tvec3 vv = normalize(cross(uu, ww));\\\\n\\\\n// \\\\treturn mat3(uu, vv, ww);\\\\n// }\\\\n// mat3 rotation_matrix(vec3 target, float roll) {\\\\n// \\\\tvec3 rr = vec3(sin(roll), cos(roll), 0.0);\\\\n// \\\\tvec3 ww = normalize(target);\\\\n// \\\\tvec3 uu = normalize(cross(ww, rr));\\\\n// \\\\tvec3 vv = normalize(cross(uu, ww));\\\\n\\\\n// \\\\treturn mat3(uu, vv, ww);\\\\n// }\\\\n\\\\nfloat vectorAngle(vec3 start, vec3 dest){\\\\n\\\\tstart = normalize(start);\\\\n\\\\tdest = normalize(dest);\\\\n\\\\n\\\\tfloat cosTheta = dot(start, dest);\\\\n\\\\tvec3 c1 = cross(start, dest);\\\\n\\\\t// We use the dot product of the cross with the Y axis.\\\\n\\\\t// This is a little arbitrary, but can still give a good sense of direction\\\\n\\\\tvec3 y_axis = vec3(0.0, 1.0, 0.0);\\\\n\\\\tfloat d1 = dot(c1, y_axis);\\\\n\\\\tfloat angle = acos(cosTheta) * sign(d1);\\\\n\\\\treturn angle;\\\\n}\\\\n\\\\n// http://www.opengl-tutorial.org/intermediate-tutorials/tutorial-17-quaternions/#i-need-an-equivalent-of-glulookat-how-do-i-orient-an-object-towards-a-point-\\\\nvec4 vectorAlign(vec3 start, vec3 dest){\\\\n\\\\tstart = normalize(start);\\\\n\\\\tdest = normalize(dest);\\\\n\\\\n\\\\tfloat cosTheta = dot(start, dest);\\\\n\\\\tvec3 axis;\\\\n\\\\n\\\\t// if (cosTheta < -1 + 0.001f){\\\\n\\\\t// \\\\t// special case when vectors in opposite directions:\\\\n\\\\t// \\\\t// there is no ideal rotation axis\\\\n\\\\t// \\\\t// So guess one; any will do as long as it's perpendicular to start\\\\n\\\\t// \\\\taxis = cross(vec3(0.0f, 0.0f, 1.0f), start);\\\\n\\\\t// \\\\tif (length2(axis) < 0.01 ) // bad luck, they were parallel, try again!\\\\n\\\\t// \\\\t\\\\taxis = cross(vec3(1.0f, 0.0f, 0.0f), start);\\\\n\\\\n\\\\t// \\\\taxis = normalize(axis);\\\\n\\\\t// \\\\treturn gtx::quaternion::angleAxis(glm::radians(180.0f), axis);\\\\n\\\\t// }\\\\n\\\\tif(cosTheta > (1.0 - 0.0001) || cosTheta < (-1.0 + 0.0001) ){\\\\n\\\\t\\\\taxis = normalize(cross(start, vec3(0.0, 1.0, 0.0)));\\\\n\\\\t\\\\tif (length(axis) < 0.001 ){ // bad luck, they were parallel, try again!\\\\n\\\\t\\\\t\\\\taxis = normalize(cross(start, vec3(1.0, 0.0, 0.0)));\\\\n\\\\t\\\\t}\\\\n\\\\t} else {\\\\n\\\\t\\\\taxis = normalize(cross(start, dest));\\\\n\\\\t}\\\\n\\\\n\\\\tfloat angle = acos(cosTheta);\\\\n\\\\n\\\\treturn quatFromAxisAngle(axis, angle);\\\\n}\\\\nvec4 vectorAlignWithUp(vec3 start, vec3 dest, vec3 up){\\\\n\\\\tvec4 rot1 = vectorAlign(start, dest);\\\\n\\\\tup = normalize(up);\\\\n\\\\n\\\\t// Recompute desiredUp so that it's perpendicular to the direction\\\\n\\\\t// You can skip that part if you really want to force desiredUp\\\\n\\\\t// vec3 right = normalize(cross(dest, up));\\\\n\\\\t// up = normalize(cross(right, dest));\\\\n\\\\n\\\\t// Because of the 1rst rotation, the up is probably completely screwed up.\\\\n\\\\t// Find the rotation between the up of the rotated object, and the desired up\\\\n\\\\tvec3 newUp = rotateWithQuat(vec3(0.0, 1.0, 0.0), rot1);//rot1 * vec3(0.0, 1.0, 0.0);\\\\n\\\\tvec4 rot2 = vectorAlign(up, newUp);\\\\n\\\\n\\\\t// return rot1;\\\\n\\\\treturn rot2;\\\\n\\\\t// return multQuat(rot1, rot2);\\\\n\\\\t// return rot2 * rot1;\\\\n\\\\n}\\\\n\\\\n// https://www.euclideanspace.com/maths/geometry/rotations/conversions/quaternionToAngle/index.htm\\\\nfloat quatToAngle(vec4 q){\\\\n\\\\treturn 2.0 * acos(q.w);\\\\n}\\\\nvec3 quatToAxis(vec4 q){\\\\n\\\\treturn vec3(\\\\n\\\\t\\\\tq.x / sqrt(1.0-q.w*q.w),\\\\n\\\\t\\\\tq.y / sqrt(1.0-q.w*q.w),\\\\n\\\\t\\\\tq.z / sqrt(1.0-q.w*q.w)\\\\n\\\\t);\\\\n}\\\\n\\\\nvec4 align(vec3 dir, vec3 up){\\\\n\\\\tvec3 start_dir = vec3(0.0, 0.0, 1.0);\\\\n\\\\tvec3 start_up = vec3(0.0, 1.0, 0.0);\\\\n\\\\tvec4 rot1 = vectorAlign(start_dir, dir);\\\\n\\\\tup = normalize(up);\\\\n\\\\n\\\\t// Recompute desiredUp so that it's perpendicular to the direction\\\\n\\\\t// You can skip that part if you really want to force desiredUp\\\\n\\\\tvec3 right = normalize(cross(dir, up));\\\\n\\\\tif(length(right)<0.001){\\\\n\\\\t\\\\tright = vec3(1.0, 0.0, 0.0);\\\\n\\\\t}\\\\n\\\\tup = normalize(cross(right, dir));\\\\n\\\\n\\\\t// Because of the 1rst rotation, the up is probably completely screwed up.\\\\n\\\\t// Find the rotation between the up of the rotated object, and the desired up\\\\n\\\\tvec3 newUp = rotateWithQuat(start_up, rot1);//rot1 * vec3(0.0, 1.0, 0.0);\\\\n\\\\tvec4 rot2 = vectorAlign(normalize(newUp), up);\\\\n\\\\n\\\\t// return rot1;\\\\n\\\\treturn quatMult(rot1, rot2);\\\\n\\\\t// return rot2 * rot1;\\\\n\\\\n}\\\\\\\";!function(t){t.DIR=\\\\\\\"dir\\\\\\\",t.UP=\\\\\\\"up\\\\\\\"}(OR||(OR={}));const RR=[OR.DIR,OR.UP],IR={[OR.DIR]:[0,0,1],[OR.UP]:[0,1,0]};class FR extends LP{static type(){return\\\\\\\"align\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function((t=>RR[t])),this.io.connection_points.set_expected_input_types_function((()=>[Uo.VEC3,Uo.VEC3])),this.io.connection_points.set_expected_output_types_function((()=>[Uo.VEC4]))}paramDefaultValue(t){return IR[t]}gl_method_name(){return\\\\\\\"align\\\\\\\"}gl_function_definitions(){return[new Cf(this,PR)]}}var DR;!function(t){t.LINEAR=\\\\\\\"Linear\\\\\\\",t.GAMMA=\\\\\\\"Gamma\\\\\\\",t.SRGB=\\\\\\\"sRGB\\\\\\\",t.RGBE=\\\\\\\"RGBE\\\\\\\",t.RGBM=\\\\\\\"RGBM\\\\\\\",t.RGBD=\\\\\\\"RGBD\\\\\\\",t.LogLuv=\\\\\\\"LogLuv\\\\\\\"}(DR||(DR={}));const BR=[DR.LINEAR,DR.GAMMA,DR.SRGB,DR.RGBE,DR.RGBM,DR.RGBD,DR.LogLuv];const zR=new class extends ua{constructor(){super(...arguments),this.color=ha.VECTOR4([1,1,1,1]),this.from=ha.INTEGER(BR.indexOf(DR.LINEAR),{menu:{entries:BR.map(((t,e)=>({name:t,value:e})))}}),this.to=ha.INTEGER(BR.indexOf(DR.GAMMA),{menu:{entries:BR.map(((t,e)=>({name:t,value:e})))}}),this.gammaFactor=ha.FLOAT(2.2)}};class kR extends gf{constructor(){super(...arguments),this.paramsConfig=zR}static type(){return\\\\\\\"colorCorrect\\\\\\\"}initializeNode(){this.io.connection_points.spare_params.set_inputless_param_names([\\\\\\\"to\\\\\\\",\\\\\\\"from\\\\\\\"]),this.io.outputs.setNamedOutputConnectionPoints([new qo(kR.OUTPUT_NAME,Uo.VEC4)])}setLines(t){const e=BR[this.pv.from],n=BR[this.pv.to],i=this.glVarName(kR.OUTPUT_NAME),s=mf.any(this.variableForInput(kR.INPUT_NAME)),r=[];if(e!=n){const t=`${e}To${n}`,o=[];if(o.push(s),e==DR.GAMMA||n==DR.GAMMA){const t=mf.any(this.variableForInputParam(this.p.gammaFactor));o.push(t)}r.push(`vec4 ${i} = ${t}(${o.join(\\\\\\\", \\\\\\\")})`)}else r.push(`vec4 ${i} = ${s}`);t.addBodyLines(this,r)}}var UR,GR;kR.INPUT_NAME=\\\\\\\"color\\\\\\\",kR.INPUT_GAMMA_FACTOR=\\\\\\\"gammaFactor\\\\\\\",kR.OUTPUT_NAME=\\\\\\\"out\\\\\\\",function(t){t.EQUAL=\\\\\\\"Equal\\\\\\\",t.LESS_THAN=\\\\\\\"Less Than\\\\\\\",t.GREATER_THAN=\\\\\\\"Greater Than\\\\\\\",t.LESS_THAN_OR_EQUAL=\\\\\\\"Less Than Or Equal\\\\\\\",t.GREATER_THAN_OR_EQUAL=\\\\\\\"Greater Than Or Equal\\\\\\\",t.NOT_EQUAL=\\\\\\\"Not Equal\\\\\\\"}(UR||(UR={})),function(t){t.EQUAL=\\\\\\\"==\\\\\\\",t.LESS_THAN=\\\\\\\"<\\\\\\\",t.GREATER_THAN=\\\\\\\">\\\\\\\",t.LESS_THAN_OR_EQUAL=\\\\\\\"<=\\\\\\\",t.GREATER_THAN_OR_EQUAL=\\\\\\\">=\\\\\\\",t.NOT_EQUAL=\\\\\\\"!=\\\\\\\"}(GR||(GR={}));const VR=[UR.EQUAL,UR.LESS_THAN,UR.GREATER_THAN,UR.LESS_THAN_OR_EQUAL,UR.GREATER_THAN_OR_EQUAL,UR.NOT_EQUAL],HR=[GR.EQUAL,GR.LESS_THAN,GR.GREATER_THAN,GR.LESS_THAN_OR_EQUAL,GR.GREATER_THAN_OR_EQUAL,GR.NOT_EQUAL],jR=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\",\\\\\\\"w\\\\\\\"];const WR=new class extends ua{constructor(){super(...arguments),this.test=ha.INTEGER(0,{menu:{entries:VR.map(((t,e)=>({name:`${HR[e].padEnd(2,\\\\\\\" \\\\\\\")} (${t})`,value:e})))}})}};class qR extends gf{constructor(){super(...arguments),this.paramsConfig=WR}static type(){return\\\\\\\"compare\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.spare_params.set_inputless_param_names([\\\\\\\"test\\\\\\\"]),this.io.connection_points.initializeNode(),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_output_name_function((t=>\\\\\\\"val\\\\\\\")),this.io.connection_points.set_expected_input_types_function(this._expected_input_type.bind(this)),this.io.connection_points.set_expected_output_types_function((()=>[Uo.BOOL]))}set_test_name(t){this.p.test.set(VR.indexOf(t))}_gl_input_name(t){return[\\\\\\\"value0\\\\\\\",\\\\\\\"value1\\\\\\\"][t]}_expected_input_type(){const t=this.io.connection_points.first_input_connection_type()||Uo.FLOAT;return[t,t]}setLines(t){const e=[],n=this.glVarName(\\\\\\\"val\\\\\\\"),i=HR[this.pv.test],s=mf.any(this.variableForInput(this._gl_input_name(0))),r=mf.any(this.variableForInput(this._gl_input_name(1))),o=this.io.inputs.namedInputConnectionPoints()[0];let a=1;if(o&&(a=Wo[o.type()]||1),a>1){let t=[];for(let n=0;n({name:t,value:e})))}}),this.bool=ha.BOOLEAN(0,YR(Uo.BOOL)),this.int=ha.INTEGER(0,YR(Uo.INT)),this.float=ha.FLOAT(0,YR(Uo.FLOAT)),this.vec2=ha.VECTOR2([0,0],YR(Uo.VEC2)),this.vec3=ha.VECTOR3([0,0,0],YR(Uo.VEC3)),this.vec4=ha.VECTOR4([0,0,0,0],YR(Uo.VEC4))}};class JR extends gf{constructor(){super(...arguments),this.paramsConfig=$R,this._allow_inputs_created_from_params=!1}static type(){return\\\\\\\"constant\\\\\\\"}initializeNode(){this.io.connection_points.set_output_name_function((t=>JR.OUTPUT_NAME)),this.io.connection_points.set_expected_input_types_function((()=>[])),this.io.connection_points.set_expected_output_types_function((()=>[this._current_connection_type]))}setLines(t){const e=this._current_param;if(e){const n=this._current_connection_type;let i=mf.any(e.value);e.name()==this.p.int.name()&&m.isNumber(e.value)&&(i=mf.integer(e.value));const s=`${n} ${this._current_var_name} = ${i}`;t.addBodyLines(this,[s])}else console.warn(`no param found for constant node for type '${this.pv.type}'`)}get _current_connection_type(){null==this.pv.type&&console.warn(\\\\\\\"constant gl node type if not valid\\\\\\\");const t=Go[this.pv.type];return null==t&&console.warn(\\\\\\\"constant gl node type if not valid\\\\\\\"),t}get _current_param(){this._params_by_type=this._params_by_type||new Map([[Uo.BOOL,this.p.bool],[Uo.INT,this.p.int],[Uo.FLOAT,this.p.float],[Uo.VEC2,this.p.vec2],[Uo.VEC3,this.p.vec3],[Uo.VEC4,this.p.vec4]]);const t=Go[this.pv.type];return this._params_by_type.get(t)}get _current_var_name(){return this.glVarName(JR.OUTPUT_NAME)}set_gl_type(t){this.p.type.set(Go.indexOf(t))}}JR.OUTPUT_NAME=\\\\\\\"val\\\\\\\";const ZR=\\\\\\\"cross\\\\\\\";const KR=new class extends ua{constructor(){super(...arguments),this.x=ha.VECTOR3([0,0,1]),this.y=ha.VECTOR3([0,1,0])}};class QR extends gf{constructor(){super(...arguments),this.paramsConfig=KR}static type(){return\\\\\\\"cross\\\\\\\"}initializeNode(){super.initializeNode(),this.io.outputs.setNamedOutputConnectionPoints([new qo(ZR,Uo.VEC3)])}setLines(t){const e=mf.float(this.variableForInputParam(this.p.x)),n=mf.float(this.variableForInputParam(this.p.y)),i=`vec3 ${this.glVarName(ZR)} = cross(${e}, ${n})`;t.addBodyLines(this,[i])}}class tI extends(hR(\\\\\\\"cycle\\\\\\\",{in:[\\\\\\\"in\\\\\\\",\\\\\\\"min\\\\\\\",\\\\\\\"max\\\\\\\"],default:{max:1},functions:[\\\\\\\"float cycle(float val, float val_min, float val_max){\\\\n\\\\tif(val >= val_min && val < val_max){\\\\n\\\\t\\\\treturn val;\\\\n\\\\t} else {\\\\n\\\\t\\\\tfloat range = val_max - val_min;\\\\n\\\\t\\\\tif(val >= val_max){\\\\n\\\\t\\\\t\\\\tfloat delta = (val - val_max);\\\\n\\\\t\\\\t\\\\treturn val_min + mod(delta, range);\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tfloat delta = (val_min - val);\\\\n\\\\t\\\\t\\\\treturn val_max - mod(delta, range);\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n}\\\\\\\"]})){}var eI=\\\\\\\"float disk_feather(float dist, float radius, float feather){\\\\n\\\\tif(feather <= 0.0){\\\\n\\\\t\\\\tif(dist < radius){return 1.0;}else{return 0.0;}\\\\n\\\\t} else {\\\\n\\\\t\\\\tfloat half_feather = feather * 0.5;\\\\n\\\\t\\\\tif(dist < (radius - half_feather)){\\\\n\\\\t\\\\t\\\\treturn 1.0;\\\\n\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\tif(dist > (radius + half_feather)){\\\\n\\\\t\\\\t\\\\t\\\\treturn 0.0;\\\\n\\\\t\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\t\\\\tfloat feather_start = (radius - half_feather);\\\\n\\\\t\\\\t\\\\t\\\\tfloat blend = 1.0 - (dist - feather_start) / feather;\\\\n\\\\t\\\\t\\\\t\\\\treturn blend;\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n}\\\\n\\\\nfloat disk2d(vec2 pos, vec2 center, float radius, float feather){\\\\n\\\\tfloat dist = distance(pos, center);\\\\n\\\\treturn disk_feather(dist, radius, feather);\\\\n}\\\\n\\\\n// function could be called sphere, but is an overload of disk, and is the same\\\\nfloat disk3d(vec3 pos, vec3 center, float radius, float feather){\\\\n\\\\tfloat dist = distance(pos, center);\\\\n\\\\treturn disk_feather(dist, radius, feather);\\\\n}\\\\\\\";const nI=new class extends ua{constructor(){super(...arguments),this.position=ha.VECTOR2([0,0]),this.center=ha.VECTOR2([0,0]),this.radius=ha.FLOAT(1),this.feather=ha.FLOAT(.1)}};class iI extends gf{constructor(){super(...arguments),this.paramsConfig=nI}static type(){return\\\\\\\"disk\\\\\\\"}initializeNode(){super.initializeNode(),this.io.outputs.setNamedOutputConnectionPoints([new qo(\\\\\\\"float\\\\\\\",Uo.FLOAT)])}setLines(t){const e=mf.vector2(this.variableForInputParam(this.p.position)),n=mf.vector2(this.variableForInputParam(this.p.center)),i=mf.float(this.variableForInputParam(this.p.radius)),s=mf.float(this.variableForInputParam(this.p.feather)),r=`float ${this.glVarName(\\\\\\\"float\\\\\\\")} = disk2d(${e}, ${n}, ${i}, ${s})`;t.addBodyLines(this,[r]),t.addDefinitions(this,[new Cf(this,eI)])}}var sI=\\\\\\\"\\\\nfloat bounceOut(float t) {\\\\n const float a = 4.0 / 11.0;\\\\n const float b = 8.0 / 11.0;\\\\n const float c = 9.0 / 10.0;\\\\n\\\\n const float ca = 4356.0 / 361.0;\\\\n const float cb = 35442.0 / 1805.0;\\\\n const float cc = 16061.0 / 1805.0;\\\\n\\\\n float t2 = t * t;\\\\n\\\\n return t < a\\\\n ? 7.5625 * t2\\\\n : t < b\\\\n ? 9.075 * t2 - 9.9 * t + 3.4\\\\n : t < c\\\\n ? ca * t2 - cb * t + cc\\\\n : 10.8 * t * t - 20.52 * t + 10.72;\\\\n}\\\\n\\\\n\\\\\\\";const rI=[\\\\\\\"back-in-out\\\\\\\",\\\\\\\"back-in\\\\\\\",\\\\\\\"back-out\\\\\\\",\\\\\\\"bounce-in-out\\\\\\\",\\\\\\\"bounce-in\\\\\\\",\\\\\\\"bounce-out\\\\\\\",\\\\\\\"circular-in-out\\\\\\\",\\\\\\\"circular-in\\\\\\\",\\\\\\\"circular-out\\\\\\\",\\\\\\\"cubic-in-out\\\\\\\",\\\\\\\"cubic-in\\\\\\\",\\\\\\\"cubic-out\\\\\\\",\\\\\\\"elastic-in-out\\\\\\\",\\\\\\\"elastic-in\\\\\\\",\\\\\\\"elastic-out\\\\\\\",\\\\\\\"exponential-in-out\\\\\\\",\\\\\\\"exponential-in\\\\\\\",\\\\\\\"exponential-out\\\\\\\",\\\\\\\"linear\\\\\\\",\\\\\\\"quadratic-in-out\\\\\\\",\\\\\\\"quadratic-in\\\\\\\",\\\\\\\"quadratic-out\\\\\\\",\\\\\\\"sine-in-out\\\\\\\",\\\\\\\"sine-in\\\\\\\",\\\\\\\"sine-out\\\\\\\"],oI={\\\\\\\"circular-in-out\\\\\\\":\\\\\\\"float circularInOut(float t) {\\\\n return t < 0.5\\\\n ? 0.5 * (1.0 - sqrt(1.0 - 4.0 * t * t))\\\\n : 0.5 * (sqrt((3.0 - 2.0 * t) * (2.0 * t - 1.0)) + 1.0);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"exponential-in-out\\\\\\\":\\\\\\\"float exponentialInOut(float t) {\\\\n return t == 0.0 || t == 1.0\\\\n ? t\\\\n : t < 0.5\\\\n ? +0.5 * pow(2.0, (20.0 * t) - 10.0)\\\\n : -0.5 * pow(2.0, 10.0 - (t * 20.0)) + 1.0;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"circular-in\\\\\\\":\\\\\\\"float circularIn(float t) {\\\\n return 1.0 - sqrt(1.0 - t * t);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"elastic-out\\\\\\\":\\\\\\\"#ifndef HALF_PI\\\\n#define HALF_PI 1.5707963267948966\\\\n#endif\\\\n\\\\nfloat elasticOut(float t) {\\\\n return sin(-13.0 * (t + 1.0) * HALF_PI) * pow(2.0, -10.0 * t) + 1.0;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"cubic-in\\\\\\\":\\\\\\\"float cubicIn(float t) {\\\\n return t * t * t;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"exponential-out\\\\\\\":\\\\\\\"float exponentialOut(float t) {\\\\n return t == 1.0 ? t : 1.0 - pow(2.0, -10.0 * t);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"quintic-out\\\\\\\":\\\\\\\"float quinticOut(float t) {\\\\n return 1.0 - (pow(t - 1.0, 5.0));\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"elastic-in-out\\\\\\\":\\\\\\\"#ifndef HALF_PI\\\\n#define HALF_PI 1.5707963267948966\\\\n#endif\\\\n\\\\nfloat elasticInOut(float t) {\\\\n return t < 0.5\\\\n ? 0.5 * sin(+13.0 * HALF_PI * 2.0 * t) * pow(2.0, 10.0 * (2.0 * t - 1.0))\\\\n : 0.5 * sin(-13.0 * HALF_PI * ((2.0 * t - 1.0) + 1.0)) * pow(2.0, -10.0 * (2.0 * t - 1.0)) + 1.0;\\\\n}\\\\n\\\\n\\\\\\\",linear:\\\\\\\"float linear(float t) {\\\\n return t;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"circular-out\\\\\\\":\\\\\\\"float circularOut(float t) {\\\\n return sqrt((2.0 - t) * t);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"back-in-out\\\\\\\":\\\\\\\"\\\\nfloat backInOut(float t) {\\\\n float f = t < 0.5\\\\n ? 2.0 * t\\\\n : 1.0 - (2.0 * t - 1.0);\\\\n\\\\n float g = pow(f, 3.0) - f * sin(f * PI);\\\\n\\\\n return t < 0.5\\\\n ? 0.5 * g\\\\n : 0.5 * (1.0 - g) + 0.5;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"back-in\\\\\\\":\\\\\\\"\\\\nfloat backIn(float t) {\\\\n return pow(t, 3.0) - t * sin(t * PI);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"sine-in\\\\\\\":\\\\\\\"#ifndef HALF_PI\\\\n#define HALF_PI 1.5707963267948966\\\\n#endif\\\\n\\\\nfloat sineIn(float t) {\\\\n return sin((t - 1.0) * HALF_PI) + 1.0;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"back-out\\\\\\\":\\\\\\\"\\\\nfloat backOut(float t) {\\\\n float f = 1.0 - t;\\\\n return 1.0 - (pow(f, 3.0) - f * sin(f * PI));\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"quartic-in-out\\\\\\\":\\\\\\\"float quarticInOut(float t) {\\\\n return t < 0.5\\\\n ? +8.0 * pow(t, 4.0)\\\\n : -8.0 * pow(t - 1.0, 4.0) + 1.0;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"quadratic-in\\\\\\\":\\\\\\\"float quadraticIn(float t) {\\\\n return t * t;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"cubic-in-out\\\\\\\":\\\\\\\"float cubicInOut(float t) {\\\\n return t < 0.5\\\\n ? 4.0 * t * t * t\\\\n : 0.5 * pow(2.0 * t - 2.0, 3.0) + 1.0;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"elastic-in\\\\\\\":\\\\\\\"#ifndef HALF_PI\\\\n#define HALF_PI 1.5707963267948966\\\\n#endif\\\\n\\\\nfloat elasticIn(float t) {\\\\n return sin(13.0 * t * HALF_PI) * pow(2.0, 10.0 * (t - 1.0));\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"bounce-out\\\\\\\":sI,\\\\\\\"quadratic-in-out\\\\\\\":\\\\\\\"float quadraticInOut(float t) {\\\\n float p = 2.0 * t * t;\\\\n return t < 0.5 ? p : -p + (4.0 * t) - 1.0;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"exponential-in\\\\\\\":\\\\\\\"float exponentialIn(float t) {\\\\n return t == 0.0 ? t : pow(2.0, 10.0 * (t - 1.0));\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"quintic-in-out\\\\\\\":\\\\\\\"float quinticInOut(float t) {\\\\n return t < 0.5\\\\n ? +16.0 * pow(t, 5.0)\\\\n : -0.5 * pow(2.0 * t - 2.0, 5.0) + 1.0;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"sine-in-out\\\\\\\":\\\\\\\"\\\\nfloat sineInOut(float t) {\\\\n return -0.5 * (cos(PI * t) - 1.0);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"cubic-out\\\\\\\":\\\\\\\"float cubicOut(float t) {\\\\n float f = t - 1.0;\\\\n return f * f * f + 1.0;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"quadratic-out\\\\\\\":\\\\\\\"float quadraticOut(float t) {\\\\n return -t * (t - 2.0);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"bounce-in-out\\\\\\\":\\\\\\\"\\\\nfloat bounceInOut(float t) {\\\\n return t < 0.5\\\\n ? 0.5 * (1.0 - bounceOut(1.0 - t * 2.0))\\\\n : 0.5 * bounceOut(t * 2.0 - 1.0) + 0.5;\\\\n}\\\\n\\\\n\\\\n\\\\n\\\\\\\",\\\\\\\"quintic-in\\\\\\\":\\\\\\\"float quinticIn(float t) {\\\\n return pow(t, 5.0);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"quartic-in\\\\\\\":\\\\\\\"float quarticIn(float t) {\\\\n return pow(t, 4.0);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"quartic-out\\\\\\\":\\\\\\\"float quarticOut(float t) {\\\\n return pow(t - 1.0, 3.0) * (1.0 - t) + 1.0;\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"bounce-in\\\\\\\":\\\\\\\"\\\\nfloat bounceIn(float t) {\\\\n return 1.0 - bounceOut(1.0 - t);\\\\n}\\\\n\\\\n\\\\\\\",\\\\\\\"sine-out\\\\\\\":\\\\\\\"#ifndef HALF_PI\\\\n#define HALF_PI 1.5707963267948966\\\\n#endif\\\\n\\\\nfloat sineOut(float t) {\\\\n return sin(t * HALF_PI);\\\\n}\\\\n\\\\n\\\\\\\"},aI={\\\\\\\"bounce-in\\\\\\\":[sI],\\\\\\\"bounce-in-out\\\\\\\":[sI]},lI={\\\\\\\"circular-in-out\\\\\\\":\\\\\\\"circularInOut\\\\\\\",\\\\\\\"exponential-in-out\\\\\\\":\\\\\\\"exponentialInOut\\\\\\\",\\\\\\\"circular-in\\\\\\\":\\\\\\\"circularIn\\\\\\\",\\\\\\\"elastic-out\\\\\\\":\\\\\\\"elasticOut\\\\\\\",\\\\\\\"cubic-in\\\\\\\":\\\\\\\"cubicIn\\\\\\\",\\\\\\\"exponential-out\\\\\\\":\\\\\\\"exponentialOut\\\\\\\",\\\\\\\"quintic-out\\\\\\\":\\\\\\\"quinticOut\\\\\\\",\\\\\\\"elastic-in-out\\\\\\\":\\\\\\\"elasticInOut\\\\\\\",linear:\\\\\\\"linear\\\\\\\",\\\\\\\"circular-out\\\\\\\":\\\\\\\"circularOut\\\\\\\",\\\\\\\"back-in-out\\\\\\\":\\\\\\\"backInOut\\\\\\\",\\\\\\\"back-in\\\\\\\":\\\\\\\"backIn\\\\\\\",\\\\\\\"sine-in\\\\\\\":\\\\\\\"sineIn\\\\\\\",\\\\\\\"back-out\\\\\\\":\\\\\\\"backOut\\\\\\\",\\\\\\\"quartic-in-out\\\\\\\":\\\\\\\"quarticInOut\\\\\\\",\\\\\\\"quadratic-in\\\\\\\":\\\\\\\"quadraticIn\\\\\\\",\\\\\\\"cubic-in-out\\\\\\\":\\\\\\\"cubicInOut\\\\\\\",\\\\\\\"elastic-in\\\\\\\":\\\\\\\"elasticIn\\\\\\\",\\\\\\\"bounce-out\\\\\\\":\\\\\\\"bounceOut\\\\\\\",\\\\\\\"quadratic-in-out\\\\\\\":\\\\\\\"quadraticInOut\\\\\\\",\\\\\\\"exponential-in\\\\\\\":\\\\\\\"exponentialIn\\\\\\\",\\\\\\\"quintic-in-out\\\\\\\":\\\\\\\"quinticInOut\\\\\\\",\\\\\\\"sine-in-out\\\\\\\":\\\\\\\"sineInOut\\\\\\\",\\\\\\\"cubic-out\\\\\\\":\\\\\\\"cubicOut\\\\\\\",\\\\\\\"quadratic-out\\\\\\\":\\\\\\\"quadraticOut\\\\\\\",\\\\\\\"bounce-in-out\\\\\\\":\\\\\\\"bounceInOut\\\\\\\",\\\\\\\"quintic-in\\\\\\\":\\\\\\\"quinticIn\\\\\\\",\\\\\\\"quartic-in\\\\\\\":\\\\\\\"quarticIn\\\\\\\",\\\\\\\"quartic-out\\\\\\\":\\\\\\\"quarticOut\\\\\\\",\\\\\\\"bounce-in\\\\\\\":\\\\\\\"bounceIn\\\\\\\",\\\\\\\"sine-out\\\\\\\":\\\\\\\"sineOut\\\\\\\"},cI=rI.indexOf(\\\\\\\"sine-in-out\\\\\\\");const hI=new class extends ua{constructor(){super(...arguments),this.type=ha.INTEGER(cI,{menu:{entries:rI.map(((t,e)=>({name:t,value:e})))}}),this.input=ha.FLOAT(0)}};class uI extends gf{constructor(){super(...arguments),this.paramsConfig=hI}static type(){return\\\\\\\"easing\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.spare_params.set_inputless_param_names([\\\\\\\"type\\\\\\\"]),this.io.outputs.setNamedOutputConnectionPoints([new qo(\\\\\\\"out\\\\\\\",Uo.FLOAT)])}setLines(t){const e=rI[this.pv.type],n=lI[e];let i=[new Cf(this,oI[e])];const s=(aI[e]||[]).map((t=>new Cf(this,t)));s&&(i=s.concat(i));const r=mf.float(this.variableForInputParam(this.p.input)),o=`float ${this.glVarName(\\\\\\\"out\\\\\\\")} = ${n}(${r})`;t.addDefinitions(this,i),t.addBodyLines(this,[o])}}var dI=\\\\\\\"//\\\\n//\\\\n// FIT\\\\n//\\\\n//\\\\nfloat fit(float val, float srcMin, float srcMax, float destMin, float destMax){\\\\n\\\\tfloat src_range = srcMax - srcMin;\\\\n\\\\tfloat dest_range = destMax - destMin;\\\\n\\\\n\\\\tfloat r = (val - srcMin) / src_range;\\\\n\\\\treturn (r * dest_range) + destMin;\\\\n}\\\\nvec2 fit(vec2 val, vec2 srcMin, vec2 srcMax, vec2 destMin, vec2 destMax){\\\\n\\\\treturn vec2(\\\\n\\\\t\\\\tfit(val.x, srcMin.x, srcMax.x, destMin.x, destMax.x),\\\\n\\\\t\\\\tfit(val.y, srcMin.y, srcMax.y, destMin.y, destMax.y)\\\\n\\\\t);\\\\n}\\\\nvec3 fit(vec3 val, vec3 srcMin, vec3 srcMax, vec3 destMin, vec3 destMax){\\\\n\\\\treturn vec3(\\\\n\\\\t\\\\tfit(val.x, srcMin.x, srcMax.x, destMin.x, destMax.x),\\\\n\\\\t\\\\tfit(val.y, srcMin.y, srcMax.y, destMin.y, destMax.y),\\\\n\\\\t\\\\tfit(val.z, srcMin.z, srcMax.z, destMin.z, destMax.z)\\\\n\\\\t);\\\\n}\\\\nvec4 fit(vec4 val, vec4 srcMin, vec4 srcMax, vec4 destMin, vec4 destMax){\\\\n\\\\treturn vec4(\\\\n\\\\t\\\\tfit(val.x, srcMin.x, srcMax.x, destMin.x, destMax.x),\\\\n\\\\t\\\\tfit(val.y, srcMin.y, srcMax.y, destMin.y, destMax.y),\\\\n\\\\t\\\\tfit(val.z, srcMin.z, srcMax.z, destMin.z, destMax.z),\\\\n\\\\t\\\\tfit(val.w, srcMin.w, srcMax.w, destMin.w, destMax.w)\\\\n\\\\t);\\\\n}\\\\n\\\\n//\\\\n//\\\\n// FIT TO 01\\\\n// fits the range [srcMin, srcMax] to [0, 1]\\\\n//\\\\nfloat fitTo01(float val, float srcMin, float srcMax){\\\\n\\\\tfloat size = srcMax - srcMin;\\\\n\\\\treturn (val - srcMin) / size;\\\\n}\\\\nvec2 fitTo01(vec2 val, vec2 srcMin, vec2 srcMax){\\\\n\\\\treturn vec2(\\\\n\\\\t\\\\tfitTo01(val.x, srcMin.x, srcMax.x),\\\\n\\\\t\\\\tfitTo01(val.y, srcMin.y, srcMax.y)\\\\n\\\\t);\\\\n}\\\\nvec3 fitTo01(vec3 val, vec3 srcMin, vec3 srcMax){\\\\n\\\\treturn vec3(\\\\n\\\\t\\\\tfitTo01(val.x, srcMin.x, srcMax.x),\\\\n\\\\t\\\\tfitTo01(val.y, srcMin.y, srcMax.y),\\\\n\\\\t\\\\tfitTo01(val.z, srcMin.z, srcMax.z)\\\\n\\\\t);\\\\n}\\\\nvec4 fitTo01(vec4 val, vec4 srcMin, vec4 srcMax){\\\\n\\\\treturn vec4(\\\\n\\\\t\\\\tfitTo01(val.x, srcMin.x, srcMax.x),\\\\n\\\\t\\\\tfitTo01(val.y, srcMin.y, srcMax.y),\\\\n\\\\t\\\\tfitTo01(val.z, srcMin.z, srcMax.z),\\\\n\\\\t\\\\tfitTo01(val.w, srcMin.w, srcMax.w)\\\\n\\\\t);\\\\n}\\\\n\\\\n//\\\\n//\\\\n// FIT FROM 01\\\\n// fits the range [0, 1] to [destMin, destMax]\\\\n//\\\\nfloat fitFrom01(float val, float destMin, float destMax){\\\\n\\\\treturn fit(val, 0.0, 1.0, destMin, destMax);\\\\n}\\\\nvec2 fitFrom01(vec2 val, vec2 srcMin, vec2 srcMax){\\\\n\\\\treturn vec2(\\\\n\\\\t\\\\tfitFrom01(val.x, srcMin.x, srcMax.x),\\\\n\\\\t\\\\tfitFrom01(val.y, srcMin.y, srcMax.y)\\\\n\\\\t);\\\\n}\\\\nvec3 fitFrom01(vec3 val, vec3 srcMin, vec3 srcMax){\\\\n\\\\treturn vec3(\\\\n\\\\t\\\\tfitFrom01(val.x, srcMin.x, srcMax.x),\\\\n\\\\t\\\\tfitFrom01(val.y, srcMin.y, srcMax.y),\\\\n\\\\t\\\\tfitFrom01(val.z, srcMin.z, srcMax.z)\\\\n\\\\t);\\\\n}\\\\nvec4 fitFrom01(vec4 val, vec4 srcMin, vec4 srcMax){\\\\n\\\\treturn vec4(\\\\n\\\\t\\\\tfitFrom01(val.x, srcMin.x, srcMax.x),\\\\n\\\\t\\\\tfitFrom01(val.y, srcMin.y, srcMax.y),\\\\n\\\\t\\\\tfitFrom01(val.z, srcMin.z, srcMax.z),\\\\n\\\\t\\\\tfitFrom01(val.w, srcMin.w, srcMax.w)\\\\n\\\\t);\\\\n}\\\\n\\\\n//\\\\n//\\\\n// FIT FROM 01 TO VARIANCE\\\\n// fits the range [0, 1] to [center - variance, center + variance]\\\\n//\\\\nfloat fitFrom01ToVariance(float val, float center, float variance){\\\\n\\\\treturn fitFrom01(val, center - variance, center + variance);\\\\n}\\\\nvec2 fitFrom01ToVariance(vec2 val, vec2 center, vec2 variance){\\\\n\\\\treturn vec2(\\\\n\\\\t\\\\tfitFrom01ToVariance(val.x, center.x, variance.x),\\\\n\\\\t\\\\tfitFrom01ToVariance(val.y, center.y, variance.y)\\\\n\\\\t);\\\\n}\\\\nvec3 fitFrom01ToVariance(vec3 val, vec3 center, vec3 variance){\\\\n\\\\treturn vec3(\\\\n\\\\t\\\\tfitFrom01ToVariance(val.x, center.x, variance.x),\\\\n\\\\t\\\\tfitFrom01ToVariance(val.y, center.y, variance.y),\\\\n\\\\t\\\\tfitFrom01ToVariance(val.z, center.z, variance.z)\\\\n\\\\t);\\\\n}\\\\nvec4 fitFrom01ToVariance(vec4 val, vec4 center, vec4 variance){\\\\n\\\\treturn vec4(\\\\n\\\\t\\\\tfitFrom01ToVariance(val.x, center.x, variance.x),\\\\n\\\\t\\\\tfitFrom01ToVariance(val.y, center.y, variance.y),\\\\n\\\\t\\\\tfitFrom01ToVariance(val.z, center.z, variance.z),\\\\n\\\\t\\\\tfitFrom01ToVariance(val.w, center.w, variance.w)\\\\n\\\\t);\\\\n}\\\\\\\";const pI={srcMin:0,srcMax:1,destMin:0,destMax:1};class _I extends RP{static type(){return\\\\\\\"fit\\\\\\\"}_gl_input_name(t){return[\\\\\\\"val\\\\\\\",\\\\\\\"srcMin\\\\\\\",\\\\\\\"srcMax\\\\\\\",\\\\\\\"destMin\\\\\\\",\\\\\\\"destMax\\\\\\\"][t]}paramDefaultValue(t){return pI[t]}gl_method_name(){return\\\\\\\"fit\\\\\\\"}gl_function_definitions(){return[new Cf(this,dI)]}}const mI={srcMin:0,srcMax:1};class fI extends OP{static type(){return\\\\\\\"fitTo01\\\\\\\"}_gl_input_name(t){return[\\\\\\\"val\\\\\\\",\\\\\\\"srcMin\\\\\\\",\\\\\\\"srcMax\\\\\\\"][t]}paramDefaultValue(t){return mI[t]}gl_method_name(){return\\\\\\\"fitTo01\\\\\\\"}gl_function_definitions(){return[new Cf(this,dI)]}}const gI={destMin:0,destMax:1};class vI extends OP{static type(){return\\\\\\\"fitFrom01\\\\\\\"}_gl_input_name(t){return[\\\\\\\"val\\\\\\\",\\\\\\\"destMin\\\\\\\",\\\\\\\"destMax\\\\\\\"][t]}paramDefaultValue(t){return gI[t]}gl_method_name(){return\\\\\\\"fitFrom01\\\\\\\"}gl_function_definitions(){return[new Cf(this,dI)]}}const yI={center:.5,variance:.5};class xI extends OP{static type(){return\\\\\\\"fitFrom01ToVariance\\\\\\\"}_gl_input_name(t){return[\\\\\\\"val\\\\\\\",\\\\\\\"center\\\\\\\",\\\\\\\"variance\\\\\\\"][t]}paramDefaultValue(t){return yI[t]}gl_method_name(){return\\\\\\\"fitFrom01ToVariance\\\\\\\"}gl_function_definitions(){return[new Cf(this,dI)]}}const bI=\\\\\\\"color\\\\\\\";const wI=new class extends ua{constructor(){super(...arguments),this.mvPosition=ha.VECTOR4([0,0,0,0]),this.baseColor=ha.COLOR([0,0,0]),this.fogColor=ha.COLOR([1,1,1]),this.near=ha.FLOAT(0),this.far=ha.FLOAT(0)}};class TI extends gf{constructor(){super(...arguments),this.paramsConfig=wI}static type(){return\\\\\\\"fog\\\\\\\"}initializeNode(){super.initializeNode(),this.io.outputs.setNamedOutputConnectionPoints([new qo(bI,Uo.VEC3)])}setLines(t){if(t.current_shader_name==Mf.FRAGMENT){const e=this.glVarName(this.name()),n=new Lf(this,Uo.VEC4,e),i=`${e} = modelViewMatrix * vec4(position, 1.0)`;t.addDefinitions(this,[n],Mf.VERTEX),t.addBodyLines(this,[i],Mf.VERTEX);const s=new Cf(this,\\\\\\\"vec3 compute_fog(vec4 mvPosition, vec3 base_color, vec3 fog_color, float near, float far) {\\\\n\\\\tfloat blend = (-mvPosition.z - near) / (far - near);\\\\n\\\\tblend = clamp(blend, 0.0, 1.0);\\\\n\\\\treturn blend * fog_color + (1.0 - blend) * base_color;\\\\n}\\\\\\\"),r=mf.vector4(this.variableForInputParam(this.p.mvPosition)),o=mf.vector3(this.variableForInputParam(this.p.baseColor)),a=mf.vector3(this.variableForInputParam(this.p.fogColor)),l=mf.vector3(this.variableForInputParam(this.p.near)),c=mf.vector3(this.variableForInputParam(this.p.far)),h=`vec3 ${this.glVarName(bI)} = compute_fog(${[r,o,a,l,c].join(\\\\\\\", \\\\\\\")})`;t.addDefinitions(this,[n,s]),t.addBodyLines(this,[h])}}}const AI=new class extends ua{};class MI extends gf{constructor(){super(...arguments),this.paramsConfig=AI}static type(){return ns.OUTPUT}initializeNode(){this.io.connection_points.set_input_name_function(this._expected_input_name.bind(this)),this.io.connection_points.set_expected_output_types_function((()=>[])),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_create_spare_params_from_inputs(!1),this.addPostDirtyHook(\\\\\\\"setParentDirty\\\\\\\",(()=>{var t;null===(t=this.parent())||void 0===t||t.setDirty(this)}))}parent(){return super.parent()}_expected_input_name(t){const e=this.parent();return(null==e?void 0:e.child_expected_output_connection_point_name(t))||`in${t}`}_expected_input_types(){const t=this.parent();return(null==t?void 0:t.child_expected_output_connection_point_types())||[]}setLines(t){const e=this.parent();if(!e)return;const n=[],i=this.io.connections.inputConnections();if(i)for(let t of i)if(t){const i=t.dest_connection_point(),s=mf.any(this.variableForInput(i.name())),r=`\\\\t${e.glVarName(i.name())} = ${s}`;n.push(r)}t.addBodyLines(this,n),e.set_lines_block_end(t,this)}}class EI extends gf{constructor(){super(...arguments),this._children_controller_context=ts.GL}initializeNode(){var t;null===(t=this.childrenController)||void 0===t||t.set_output_node_find_method((()=>this.nodesByType(MI.type())[0])),this.io.connection_points.set_input_name_function(this._expected_input_name.bind(this)),this.io.connection_points.set_output_name_function(this._expected_output_name.bind(this)),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this))}_expected_inputs_count(){const t=this.io.connections.inputConnections();return t?t.length+1:1}_expected_input_types(){const t=[],e=Uo.FLOAT,n=this.io.connections.inputConnections(),i=this._expected_inputs_count();for(let s=0;s=0){const e=t.dest_connection_point(),i=mf.any(this.variableForInput(e.name())),s=`${e.type()} ${this.glVarName(e.name())} = ${i}`;n.push(s)}const r=this.pv.start,o=this.pv.max,a=this.pv.step,l=mf.float(r),c=mf.float(o),h=mf.float(a),u=this.glVarName(\\\\\\\"i\\\\\\\"),d=`for(float ${u} = ${l}; ${u} < ${c}; ${u}+= ${h}){`;n.push(d);const p=`\\\\tfloat ${e.glVarName(NI.START_INDEX)} = ${u}`;if(n.push(p),s)for(let t of s)if(t&&t.input_index>=0){const i=t.dest_connection_point(),s=this.glVarName(i.name()),r=`\\\\t${i.type()} ${e.glVarName(i.name())} = ${s}`;n.push(r)}t.addBodyLines(e,n)}setLines(t){}}const RI=new class extends ua{};class II extends gf{constructor(){super(...arguments),this.paramsConfig=RI}static type(){return\\\\\\\"globals\\\\\\\"}initializeNode(){super.initializeNode(),this.lifecycle.add_on_add_hook((()=>{var t,e;null===(e=null===(t=this.material_node)||void 0===t?void 0:t.assemblerController)||void 0===e||e.add_globals_outputs(this)}))}setLines(t){t.assembler().set_node_lines_globals(this,t)}}const FI=new class extends ua{constructor(){super(...arguments),this.hsluv=ha.VECTOR3([1,1,1])}};class DI extends gf{constructor(){super(...arguments),this.paramsConfig=FI}static type(){return\\\\\\\"hsluvToRgb\\\\\\\"}initializeNode(){super.initializeNode(),this.io.outputs.setNamedOutputConnectionPoints([new qo(\\\\\\\"rgb\\\\\\\",Uo.VEC3)])}setLines(t){const e=[],n=[];e.push(new Cf(this,\\\\\\\"// from https://github.com/williammalo/hsluv-glsl\\\\n/*\\\\nHSLUV-GLSL v4.2\\\\nHSLUV is a human-friendly alternative to HSL. ( http://www.hsluv.org )\\\\nGLSL port by William Malo ( https://github.com/williammalo )\\\\nPut this code in your fragment shader.\\\\n*/\\\\n\\\\nvec3 hsluv_intersectLineLine(vec3 line1x, vec3 line1y, vec3 line2x, vec3 line2y) {\\\\n\\\\treturn (line1y - line2y) / (line2x - line1x);\\\\n}\\\\n\\\\nvec3 hsluv_distanceFromPole(vec3 pointx,vec3 pointy) {\\\\n\\\\treturn sqrt(pointx*pointx + pointy*pointy);\\\\n}\\\\n\\\\nvec3 hsluv_lengthOfRayUntilIntersect(float theta, vec3 x, vec3 y) {\\\\n\\\\tvec3 len = y / (sin(theta) - x * cos(theta));\\\\n\\\\tif (len.r < 0.0) {len.r=1000.0;}\\\\n\\\\tif (len.g < 0.0) {len.g=1000.0;}\\\\n\\\\tif (len.b < 0.0) {len.b=1000.0;}\\\\n\\\\treturn len;\\\\n}\\\\n\\\\nfloat hsluv_maxSafeChromaForL(float L){\\\\n\\\\tmat3 m2 = mat3(\\\\n\\\\t\\\\t 3.2409699419045214 ,-0.96924363628087983 , 0.055630079696993609,\\\\n\\\\t\\\\t-1.5373831775700935 , 1.8759675015077207 ,-0.20397695888897657 ,\\\\n\\\\t\\\\t-0.49861076029300328 , 0.041555057407175613, 1.0569715142428786 \\\\n\\\\t);\\\\n\\\\tfloat sub0 = L + 16.0;\\\\n\\\\tfloat sub1 = sub0 * sub0 * sub0 * .000000641;\\\\n\\\\tfloat sub2 = sub1 > 0.0088564516790356308 ? sub1 : L / 903.2962962962963;\\\\n\\\\n\\\\tvec3 top1 = (284517.0 * m2[0] - 94839.0 * m2[2]) * sub2;\\\\n\\\\tvec3 bottom = (632260.0 * m2[2] - 126452.0 * m2[1]) * sub2;\\\\n\\\\tvec3 top2 = (838422.0 * m2[2] + 769860.0 * m2[1] + 731718.0 * m2[0]) * L * sub2;\\\\n\\\\n\\\\tvec3 bounds0x = top1 / bottom;\\\\n\\\\tvec3 bounds0y = top2 / bottom;\\\\n\\\\n\\\\tvec3 bounds1x = top1 / (bottom+126452.0);\\\\n\\\\tvec3 bounds1y = (top2-769860.0*L) / (bottom+126452.0);\\\\n\\\\n\\\\tvec3 xs0 = hsluv_intersectLineLine(bounds0x, bounds0y, -1.0/bounds0x, vec3(0.0) );\\\\n\\\\tvec3 xs1 = hsluv_intersectLineLine(bounds1x, bounds1y, -1.0/bounds1x, vec3(0.0) );\\\\n\\\\n\\\\tvec3 lengths0 = hsluv_distanceFromPole( xs0, bounds0y + xs0 * bounds0x );\\\\n\\\\tvec3 lengths1 = hsluv_distanceFromPole( xs1, bounds1y + xs1 * bounds1x );\\\\n\\\\n\\\\treturn min(lengths0.r,\\\\n\\\\t\\\\t\\\\tmin(lengths1.r,\\\\n\\\\t\\\\t\\\\tmin(lengths0.g,\\\\n\\\\t\\\\t\\\\tmin(lengths1.g,\\\\n\\\\t\\\\t\\\\tmin(lengths0.b,\\\\n\\\\t\\\\t\\\\t\\\\tlengths1.b)))));\\\\n}\\\\n\\\\nfloat hsluv_maxChromaForLH(float L, float H) {\\\\n\\\\n\\\\tfloat hrad = radians(H);\\\\n\\\\n\\\\tmat3 m2 = mat3(\\\\n\\\\t\\\\t 3.2409699419045214 ,-0.96924363628087983 , 0.055630079696993609,\\\\n\\\\t\\\\t-1.5373831775700935 , 1.8759675015077207 ,-0.20397695888897657 ,\\\\n\\\\t\\\\t-0.49861076029300328 , 0.041555057407175613, 1.0569715142428786 \\\\n\\\\t);\\\\n\\\\tfloat sub1 = pow(L + 16.0, 3.0) / 1560896.0;\\\\n\\\\tfloat sub2 = sub1 > 0.0088564516790356308 ? sub1 : L / 903.2962962962963;\\\\n\\\\n\\\\tvec3 top1 = (284517.0 * m2[0] - 94839.0 * m2[2]) * sub2;\\\\n\\\\tvec3 bottom = (632260.0 * m2[2] - 126452.0 * m2[1]) * sub2;\\\\n\\\\tvec3 top2 = (838422.0 * m2[2] + 769860.0 * m2[1] + 731718.0 * m2[0]) * L * sub2;\\\\n\\\\n\\\\tvec3 bound0x = top1 / bottom;\\\\n\\\\tvec3 bound0y = top2 / bottom;\\\\n\\\\n\\\\tvec3 bound1x = top1 / (bottom+126452.0);\\\\n\\\\tvec3 bound1y = (top2-769860.0*L) / (bottom+126452.0);\\\\n\\\\n\\\\tvec3 lengths0 = hsluv_lengthOfRayUntilIntersect(hrad, bound0x, bound0y );\\\\n\\\\tvec3 lengths1 = hsluv_lengthOfRayUntilIntersect(hrad, bound1x, bound1y );\\\\n\\\\n\\\\treturn min(lengths0.r,\\\\n\\\\t\\\\t\\\\tmin(lengths1.r,\\\\n\\\\t\\\\t\\\\tmin(lengths0.g,\\\\n\\\\t\\\\t\\\\tmin(lengths1.g,\\\\n\\\\t\\\\t\\\\tmin(lengths0.b,\\\\n\\\\t\\\\t\\\\t\\\\tlengths1.b)))));\\\\n}\\\\n\\\\nfloat hsluv_fromLinear(float c) {\\\\n\\\\treturn c <= 0.0031308 ? 12.92 * c : 1.055 * pow(c, 1.0 / 2.4) - 0.055;\\\\n}\\\\nvec3 hsluv_fromLinear(vec3 c) {\\\\n\\\\treturn vec3( hsluv_fromLinear(c.r), hsluv_fromLinear(c.g), hsluv_fromLinear(c.b) );\\\\n}\\\\n\\\\nfloat hsluv_toLinear(float c) {\\\\n\\\\treturn c > 0.04045 ? pow((c + 0.055) / (1.0 + 0.055), 2.4) : c / 12.92;\\\\n}\\\\n\\\\nvec3 hsluv_toLinear(vec3 c) {\\\\n\\\\treturn vec3( hsluv_toLinear(c.r), hsluv_toLinear(c.g), hsluv_toLinear(c.b) );\\\\n}\\\\n\\\\nfloat hsluv_yToL(float Y){\\\\n\\\\treturn Y <= 0.0088564516790356308 ? Y * 903.2962962962963 : 116.0 * pow(Y, 1.0 / 3.0) - 16.0;\\\\n}\\\\n\\\\nfloat hsluv_lToY(float L) {\\\\n\\\\treturn L <= 8.0 ? L / 903.2962962962963 : pow((L + 16.0) / 116.0, 3.0);\\\\n}\\\\n\\\\nvec3 xyzToRgb(vec3 tuple) {\\\\n\\\\tconst mat3 m = mat3( \\\\n\\\\t\\\\t3.2409699419045214 ,-1.5373831775700935 ,-0.49861076029300328 ,\\\\n\\\\t\\\\t-0.96924363628087983 , 1.8759675015077207 , 0.041555057407175613,\\\\n\\\\t\\\\t0.055630079696993609,-0.20397695888897657, 1.0569715142428786 );\\\\n\\\\t\\\\n\\\\treturn hsluv_fromLinear(tuple*m);\\\\n}\\\\n\\\\nvec3 rgbToXyz(vec3 tuple) {\\\\n\\\\tconst mat3 m = mat3(\\\\n\\\\t\\\\t0.41239079926595948 , 0.35758433938387796, 0.18048078840183429 ,\\\\n\\\\t\\\\t0.21263900587151036 , 0.71516867876775593, 0.072192315360733715,\\\\n\\\\t\\\\t0.019330818715591851, 0.11919477979462599, 0.95053215224966058 \\\\n\\\\t);\\\\n\\\\treturn hsluv_toLinear(tuple) * m;\\\\n}\\\\n\\\\nvec3 xyzToLuv(vec3 tuple){\\\\n\\\\tfloat X = tuple.x;\\\\n\\\\tfloat Y = tuple.y;\\\\n\\\\tfloat Z = tuple.z;\\\\n\\\\n\\\\tfloat L = hsluv_yToL(Y);\\\\n\\\\t\\\\n\\\\tfloat div = 1./dot(tuple,vec3(1,15,3)); \\\\n\\\\n\\\\treturn vec3(\\\\n\\\\t\\\\t1.,\\\\n\\\\t\\\\t(52. * (X*div) - 2.57179),\\\\n\\\\t\\\\t(117.* (Y*div) - 6.08816)\\\\n\\\\t) * L;\\\\n}\\\\n\\\\n\\\\nvec3 luvToXyz(vec3 tuple) {\\\\n\\\\tfloat L = tuple.x;\\\\n\\\\n\\\\tfloat U = tuple.y / (13.0 * L) + 0.19783000664283681;\\\\n\\\\tfloat V = tuple.z / (13.0 * L) + 0.468319994938791;\\\\n\\\\n\\\\tfloat Y = hsluv_lToY(L);\\\\n\\\\tfloat X = 2.25 * U * Y / V;\\\\n\\\\tfloat Z = (3./V - 5.)*Y - (X/3.);\\\\n\\\\n\\\\treturn vec3(X, Y, Z);\\\\n}\\\\n\\\\nvec3 luvToLch(vec3 tuple) {\\\\n\\\\tfloat L = tuple.x;\\\\n\\\\tfloat U = tuple.y;\\\\n\\\\tfloat V = tuple.z;\\\\n\\\\n\\\\tfloat C = length(tuple.yz);\\\\n\\\\tfloat H = degrees(atan(V,U));\\\\n\\\\tif (H < 0.0) {\\\\n\\\\t\\\\tH = 360.0 + H;\\\\n\\\\t}\\\\n\\\\t\\\\n\\\\treturn vec3(L, C, H);\\\\n}\\\\n\\\\nvec3 lchToLuv(vec3 tuple) {\\\\n\\\\tfloat hrad = radians(tuple.b);\\\\n\\\\treturn vec3(\\\\n\\\\t\\\\ttuple.r,\\\\n\\\\t\\\\tcos(hrad) * tuple.g,\\\\n\\\\t\\\\tsin(hrad) * tuple.g\\\\n\\\\t);\\\\n}\\\\n\\\\nvec3 hsluvToLch(vec3 tuple) {\\\\n\\\\ttuple.g *= hsluv_maxChromaForLH(tuple.b, tuple.r) * .01;\\\\n\\\\treturn tuple.bgr;\\\\n}\\\\n\\\\nvec3 lchToHsluv(vec3 tuple) {\\\\n\\\\ttuple.g /= hsluv_maxChromaForLH(tuple.r, tuple.b) * .01;\\\\n\\\\treturn tuple.bgr;\\\\n}\\\\n\\\\nvec3 hpluvToLch(vec3 tuple) {\\\\n\\\\ttuple.g *= hsluv_maxSafeChromaForL(tuple.b) * .01;\\\\n\\\\treturn tuple.bgr;\\\\n}\\\\n\\\\nvec3 lchToHpluv(vec3 tuple) {\\\\n\\\\ttuple.g /= hsluv_maxSafeChromaForL(tuple.r) * .01;\\\\n\\\\treturn tuple.bgr;\\\\n}\\\\n\\\\nvec3 lchToRgb(vec3 tuple) {\\\\n\\\\treturn xyzToRgb(luvToXyz(lchToLuv(tuple)));\\\\n}\\\\n\\\\nvec3 rgbToLch(vec3 tuple) {\\\\n\\\\treturn luvToLch(xyzToLuv(rgbToXyz(tuple)));\\\\n}\\\\n\\\\nvec3 hsluvToRgb(vec3 tuple) {\\\\n\\\\treturn lchToRgb(hsluvToLch(tuple));\\\\n}\\\\n\\\\nvec3 rgbToHsluv(vec3 tuple) {\\\\n\\\\treturn lchToHsluv(rgbToLch(tuple));\\\\n}\\\\n\\\\nvec3 hpluvToRgb(vec3 tuple) {\\\\n\\\\treturn lchToRgb(hpluvToLch(tuple));\\\\n}\\\\n\\\\nvec3 rgbToHpluv(vec3 tuple) {\\\\n\\\\treturn lchToHpluv(rgbToLch(tuple));\\\\n}\\\\n\\\\nvec3 luvToRgb(vec3 tuple){\\\\n\\\\treturn xyzToRgb(luvToXyz(tuple));\\\\n}\\\\n\\\\n// allow vec4's\\\\nvec4 xyzToRgb(vec4 c) {return vec4( xyzToRgb( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 rgbToXyz(vec4 c) {return vec4( rgbToXyz( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 xyzToLuv(vec4 c) {return vec4( xyzToLuv( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 luvToXyz(vec4 c) {return vec4( luvToXyz( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 luvToLch(vec4 c) {return vec4( luvToLch( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 lchToLuv(vec4 c) {return vec4( lchToLuv( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 hsluvToLch(vec4 c) {return vec4( hsluvToLch( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 lchToHsluv(vec4 c) {return vec4( lchToHsluv( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 hpluvToLch(vec4 c) {return vec4( hpluvToLch( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 lchToHpluv(vec4 c) {return vec4( lchToHpluv( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 lchToRgb(vec4 c) {return vec4( lchToRgb( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 rgbToLch(vec4 c) {return vec4( rgbToLch( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 hsluvToRgb(vec4 c) {return vec4( hsluvToRgb( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 rgbToHsluv(vec4 c) {return vec4( rgbToHsluv( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 hpluvToRgb(vec4 c) {return vec4( hpluvToRgb( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 rgbToHpluv(vec4 c) {return vec4( rgbToHpluv( vec3(c.x,c.y,c.z) ), c.a);}\\\\nvec4 luvToRgb(vec4 c) {return vec4( luvToRgb( vec3(c.x,c.y,c.z) ), c.a);}\\\\n// allow 3 floats\\\\nvec3 xyzToRgb(float x, float y, float z) {return xyzToRgb( vec3(x,y,z) );}\\\\nvec3 rgbToXyz(float x, float y, float z) {return rgbToXyz( vec3(x,y,z) );}\\\\nvec3 xyzToLuv(float x, float y, float z) {return xyzToLuv( vec3(x,y,z) );}\\\\nvec3 luvToXyz(float x, float y, float z) {return luvToXyz( vec3(x,y,z) );}\\\\nvec3 luvToLch(float x, float y, float z) {return luvToLch( vec3(x,y,z) );}\\\\nvec3 lchToLuv(float x, float y, float z) {return lchToLuv( vec3(x,y,z) );}\\\\nvec3 hsluvToLch(float x, float y, float z) {return hsluvToLch( vec3(x,y,z) );}\\\\nvec3 lchToHsluv(float x, float y, float z) {return lchToHsluv( vec3(x,y,z) );}\\\\nvec3 hpluvToLch(float x, float y, float z) {return hpluvToLch( vec3(x,y,z) );}\\\\nvec3 lchToHpluv(float x, float y, float z) {return lchToHpluv( vec3(x,y,z) );}\\\\nvec3 lchToRgb(float x, float y, float z) {return lchToRgb( vec3(x,y,z) );}\\\\nvec3 rgbToLch(float x, float y, float z) {return rgbToLch( vec3(x,y,z) );}\\\\nvec3 hsluvToRgb(float x, float y, float z) {return hsluvToRgb( vec3(x,y,z) );}\\\\nvec3 rgbToHsluv(float x, float y, float z) {return rgbToHsluv( vec3(x,y,z) );}\\\\nvec3 hpluvToRgb(float x, float y, float z) {return hpluvToRgb( vec3(x,y,z) );}\\\\nvec3 rgbToHpluv(float x, float y, float z) {return rgbToHpluv( vec3(x,y,z) );}\\\\nvec3 luvToRgb(float x, float y, float z) {return luvToRgb( vec3(x,y,z) );}\\\\n// allow 4 floats\\\\nvec4 xyzToRgb(float x, float y, float z, float a) {return xyzToRgb( vec4(x,y,z,a) );}\\\\nvec4 rgbToXyz(float x, float y, float z, float a) {return rgbToXyz( vec4(x,y,z,a) );}\\\\nvec4 xyzToLuv(float x, float y, float z, float a) {return xyzToLuv( vec4(x,y,z,a) );}\\\\nvec4 luvToXyz(float x, float y, float z, float a) {return luvToXyz( vec4(x,y,z,a) );}\\\\nvec4 luvToLch(float x, float y, float z, float a) {return luvToLch( vec4(x,y,z,a) );}\\\\nvec4 lchToLuv(float x, float y, float z, float a) {return lchToLuv( vec4(x,y,z,a) );}\\\\nvec4 hsluvToLch(float x, float y, float z, float a) {return hsluvToLch( vec4(x,y,z,a) );}\\\\nvec4 lchToHsluv(float x, float y, float z, float a) {return lchToHsluv( vec4(x,y,z,a) );}\\\\nvec4 hpluvToLch(float x, float y, float z, float a) {return hpluvToLch( vec4(x,y,z,a) );}\\\\nvec4 lchToHpluv(float x, float y, float z, float a) {return lchToHpluv( vec4(x,y,z,a) );}\\\\nvec4 lchToRgb(float x, float y, float z, float a) {return lchToRgb( vec4(x,y,z,a) );}\\\\nvec4 rgbToLch(float x, float y, float z, float a) {return rgbToLch( vec4(x,y,z,a) );}\\\\nvec4 hsluvToRgb(float x, float y, float z, float a) {return hsluvToRgb( vec4(x,y,z,a) );}\\\\nvec4 rgbToHslul(float x, float y, float z, float a) {return rgbToHsluv( vec4(x,y,z,a) );}\\\\nvec4 hpluvToRgb(float x, float y, float z, float a) {return hpluvToRgb( vec4(x,y,z,a) );}\\\\nvec4 rgbToHpluv(float x, float y, float z, float a) {return rgbToHpluv( vec4(x,y,z,a) );}\\\\nvec4 luvToRgb(float x, float y, float z, float a) {return luvToRgb( vec4(x,y,z,a) );}\\\\n\\\\n/*\\\\nEND HSLUV-GLSL\\\\n*/\\\\n\\\\n\\\\n// from https://gist.github.com/mattatz/44f081cac87e2f7c8980\\\\n// converted to glsl by gui@polygonjs.com\\\\n// and made function names consistent with the ones above\\\\n/*\\\\n * Conversion between RGB and LAB colorspace.\\\\n * Import from flowabs glsl program : https://code.google.com/p/flowabs/source/browse/glsl/?r=f36cbdcf7790a28d90f09e2cf89ec9a64911f138\\\\n */\\\\n\\\\n\\\\n\\\\nvec3 xyzToLab( vec3 c ) {\\\\n\\\\tvec3 n = c / vec3(95.047, 100, 108.883);\\\\n\\\\tvec3 v;\\\\n\\\\tv.x = ( n.x > 0.008856 ) ? pow( n.x, 1.0 / 3.0 ) : ( 7.787 * n.x ) + ( 16.0 / 116.0 );\\\\n\\\\tv.y = ( n.y > 0.008856 ) ? pow( n.y, 1.0 / 3.0 ) : ( 7.787 * n.y ) + ( 16.0 / 116.0 );\\\\n\\\\tv.z = ( n.z > 0.008856 ) ? pow( n.z, 1.0 / 3.0 ) : ( 7.787 * n.z ) + ( 16.0 / 116.0 );\\\\n\\\\treturn vec3(( 116.0 * v.y ) - 16.0, 500.0 * ( v.x - v.y ), 200.0 * ( v.y - v.z ));\\\\n}\\\\n\\\\nvec3 rgbToLab( vec3 c ) {\\\\n\\\\tvec3 lab = xyzToLab( rgbToXyz( c ) );\\\\n\\\\treturn vec3( lab.x / 100.0, 0.5 + 0.5 * ( lab.y / 127.0 ), 0.5 + 0.5 * ( lab.z / 127.0 ));\\\\n}\\\\n\\\\nvec3 labToXyz( vec3 c ) {\\\\n\\\\tfloat fy = ( c.x + 16.0 ) / 116.0;\\\\n\\\\tfloat fx = c.y / 500.0 + fy;\\\\n\\\\tfloat fz = fy - c.z / 200.0;\\\\n\\\\treturn vec3(\\\\n\\\\t\\\\t 95.047 * (( fx > 0.206897 ) ? fx * fx * fx : ( fx - 16.0 / 116.0 ) / 7.787),\\\\n\\\\t\\\\t100.000 * (( fy > 0.206897 ) ? fy * fy * fy : ( fy - 16.0 / 116.0 ) / 7.787),\\\\n\\\\t\\\\t108.883 * (( fz > 0.206897 ) ? fz * fz * fz : ( fz - 16.0 / 116.0 ) / 7.787)\\\\n\\\\t);\\\\n}\\\\n\\\\n\\\\n\\\\nvec3 labToRgb( vec3 c ) {\\\\n\\\\treturn xyzToRgb( labToXyz( vec3(100.0 * c.x, 2.0 * 127.0 * (c.y - 0.5), 2.0 * 127.0 * (c.z - 0.5)) ) );\\\\n}\\\\\\\"));const i=mf.vector3(this.variableForInputParam(this.p.hsluv)),s=this.glVarName(\\\\\\\"rgb\\\\\\\");n.push(`vec3 ${s} = hsluvToRgb(${i}.x * 360.0, ${i}.y * 100.0, ${i}.z * 100.0)`),t.addDefinitions(this,e),t.addBodyLines(this,n)}}const BI=new class extends ua{constructor(){super(...arguments),this.hsv=ha.VECTOR3([1,1,1])}};class zI extends gf{constructor(){super(...arguments),this.paramsConfig=BI}static type(){return\\\\\\\"hsvToRgb\\\\\\\"}initializeNode(){super.initializeNode(),this.io.outputs.setNamedOutputConnectionPoints([new qo(\\\\\\\"rgb\\\\\\\",Uo.VEC3)])}setLines(t){const e=[],n=[];e.push(new Cf(this,\\\\\\\"// https://github.com/hughsk/glsl-hsv2rgb\\\\n// https://stackoverflow.com/questions/15095909/from-rgb-to-hsv-in-opengl-glsl\\\\nvec3 hsv2rgb(vec3 c) {\\\\n\\\\tvec4 K = vec4(1.0, 2.0 / 3.0, 1.0 / 3.0, 3.0);\\\\n\\\\tvec3 p = abs(fract(c.xxx + K.xyz) * 6.0 - K.www);\\\\n\\\\treturn c.z * mix(K.xxx, clamp(p - K.xxx, 0.0, 1.0), c.y);\\\\n}\\\\\\\"));const i=mf.vector3(this.variableForInputParam(this.p.hsv)),s=this.glVarName(\\\\\\\"rgb\\\\\\\");n.push(`vec3 ${s} = hsv2rgb(${i})`),t.addDefinitions(this,e),t.addBodyLines(this,n)}}const kI=\\\\\\\"condition\\\\\\\";const UI=new class extends ua{};class GI extends CI{constructor(){super(...arguments),this.paramsConfig=UI}static type(){return\\\\\\\"ifThen\\\\\\\"}_expected_inputs_count(){const t=this.io.connections.inputConnections();return t?Math.max(t.length+1,2):2}_expected_input_types(){const t=[Uo.BOOL],e=Uo.FLOAT,n=this.io.connections.inputConnections(),i=this._expected_inputs_count();for(let s=1;s[\\\\\\\"value0\\\\\\\",\\\\\\\"value1\\\\\\\",\\\\\\\"blend\\\\\\\"][t])),this.io.connection_points.set_output_name_function(this._gl_output_name.bind(this)),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this))}_gl_output_name(){return\\\\\\\"mix\\\\\\\"}_expected_input_types(){const t=this.io.connection_points.first_input_connection_type()||Uo.FLOAT;return[t,t,Uo.FLOAT]}_expected_output_types(){return[this._expected_input_types()[0]]}}const sF=\\\\\\\"mvMult\\\\\\\";const rF=new class extends ua{constructor(){super(...arguments),this.vector=ha.VECTOR3([0,0,0])}};class oF extends gf{constructor(){super(...arguments),this.paramsConfig=rF}static type(){return\\\\\\\"modelViewMatrixMult\\\\\\\"}initializeNode(){super.initializeNode(),this.io.outputs.setNamedOutputConnectionPoints([new qo(sF,Uo.VEC4)])}setLines(t){if(t.current_shader_name==Mf.VERTEX){const e=mf.vector3(this.variableForInputParam(this.p.vector)),n=`vec4 ${this.glVarName(sF)} = modelViewMatrix * vec4(${e}, 1.0)`;t.addBodyLines(this,[n],Mf.VERTEX)}}}const aF={mult:1};var lF;!function(t){t.VALUE=\\\\\\\"value\\\\\\\",t.PRE_ADD=\\\\\\\"preAdd\\\\\\\",t.MULT=\\\\\\\"mult\\\\\\\",t.POST_ADD=\\\\\\\"postAdd\\\\\\\"}(lF||(lF={}));class cF extends PP{static type(){return\\\\\\\"multAdd\\\\\\\"}_gl_input_name(t){return[lF.VALUE,lF.PRE_ADD,lF.MULT,lF.POST_ADD][t]}paramDefaultValue(t){return aF[t]}setLines(t){const e=mf.any(this.variableForInput(lF.VALUE)),n=mf.any(this.variableForInput(lF.PRE_ADD)),i=mf.any(this.variableForInput(lF.MULT)),s=mf.any(this.variableForInput(lF.POST_ADD)),r=this._expected_output_types()[0],o=this.io.outputs.namedOutputConnectionPoints()[0].name(),a=`${r} ${this.glVarName(o)} = (${i}*(${e} + ${n})) + ${s}`;t.addBodyLines(this,[a])}}class hF extends NP{static type(){return\\\\\\\"negate\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function((t=>[\\\\\\\"in\\\\\\\"][t]))}_gl_input_name(t){return[\\\\\\\"in\\\\\\\"][t]}setLines(t){const e=mf.any(this.variableForInput(this._gl_input_name(0))),n=`${this.io.inputs.namedInputConnectionPoints()[0].type()} ${this.glVarName(this.io.connection_points.output_name(0))} = -1.0 * ${e}`;t.addBodyLines(this,[n])}}var uF;!function(t){t.CLASSIC_PERLIN_2D=\\\\\\\"Classic Perlin 2D\\\\\\\",t.CLASSIC_PERLIN_3D=\\\\\\\"Classic Perlin 3D\\\\\\\",t.CLASSIC_PERLIN_4D=\\\\\\\"Classic Perlin 4D\\\\\\\",t.NOISE_2D=\\\\\\\"noise2D\\\\\\\",t.NOISE_3D=\\\\\\\"noise3D\\\\\\\",t.NOISE_4D=\\\\\\\"noise4D\\\\\\\"}(uF||(uF={}));const dF=[uF.CLASSIC_PERLIN_2D,uF.CLASSIC_PERLIN_3D,uF.CLASSIC_PERLIN_4D,uF.NOISE_2D,uF.NOISE_3D,uF.NOISE_4D],pF={[uF.CLASSIC_PERLIN_2D]:'//\\\\n// GLSL textureless classic 2D noise \\\\\\\"cnoise\\\\\\\",\\\\n// with an RSL-style periodic variant \\\\\\\"pnoise\\\\\\\".\\\\n// Author: Stefan Gustavson (stefan.gustavson@liu.se)\\\\n// Version: 2011-08-22\\\\n//\\\\n// Many thanks to Ian McEwan of Ashima Arts for the\\\\n// ideas for permutation and gradient selection.\\\\n//\\\\n// Copyright (c) 2011 Stefan Gustavson. All rights reserved.\\\\n// Distributed under the MIT license. See LICENSE file.\\\\n// https://github.com/stegu/webgl-noise\\\\n//\\\\n\\\\n\\\\n// Classic Perlin noise\\\\nfloat cnoise(vec2 P)\\\\n{\\\\n vec4 Pi = floor(P.xyxy) + vec4(0.0, 0.0, 1.0, 1.0);\\\\n vec4 Pf = fract(P.xyxy) - vec4(0.0, 0.0, 1.0, 1.0);\\\\n Pi = mod289(Pi); // To avoid truncation effects in permutation\\\\n vec4 ix = Pi.xzxz;\\\\n vec4 iy = Pi.yyww;\\\\n vec4 fx = Pf.xzxz;\\\\n vec4 fy = Pf.yyww;\\\\n\\\\n vec4 i = permute(permute(ix) + iy);\\\\n\\\\n vec4 gx = fract(i * (1.0 / 41.0)) * 2.0 - 1.0 ;\\\\n vec4 gy = abs(gx) - 0.5 ;\\\\n vec4 tx = floor(gx + 0.5);\\\\n gx = gx - tx;\\\\n\\\\n vec2 g00 = vec2(gx.x,gy.x);\\\\n vec2 g10 = vec2(gx.y,gy.y);\\\\n vec2 g01 = vec2(gx.z,gy.z);\\\\n vec2 g11 = vec2(gx.w,gy.w);\\\\n\\\\n vec4 norm = taylorInvSqrt(vec4(dot(g00, g00), dot(g01, g01), dot(g10, g10), dot(g11, g11)));\\\\n g00 *= norm.x; \\\\n g01 *= norm.y; \\\\n g10 *= norm.z; \\\\n g11 *= norm.w; \\\\n\\\\n float n00 = dot(g00, vec2(fx.x, fy.x));\\\\n float n10 = dot(g10, vec2(fx.y, fy.y));\\\\n float n01 = dot(g01, vec2(fx.z, fy.z));\\\\n float n11 = dot(g11, vec2(fx.w, fy.w));\\\\n\\\\n vec2 fade_xy = fade(Pf.xy);\\\\n vec2 n_x = mix(vec2(n00, n01), vec2(n10, n11), fade_xy.x);\\\\n float n_xy = mix(n_x.x, n_x.y, fade_xy.y);\\\\n return 2.3 * n_xy;\\\\n}\\\\n\\\\n// Classic Perlin noise, periodic variant\\\\nfloat pnoise(vec2 P, vec2 rep)\\\\n{\\\\n vec4 Pi = floor(P.xyxy) + vec4(0.0, 0.0, 1.0, 1.0);\\\\n vec4 Pf = fract(P.xyxy) - vec4(0.0, 0.0, 1.0, 1.0);\\\\n Pi = mod(Pi, rep.xyxy); // To create noise with explicit period\\\\n Pi = mod289(Pi); // To avoid truncation effects in permutation\\\\n vec4 ix = Pi.xzxz;\\\\n vec4 iy = Pi.yyww;\\\\n vec4 fx = Pf.xzxz;\\\\n vec4 fy = Pf.yyww;\\\\n\\\\n vec4 i = permute(permute(ix) + iy);\\\\n\\\\n vec4 gx = fract(i * (1.0 / 41.0)) * 2.0 - 1.0 ;\\\\n vec4 gy = abs(gx) - 0.5 ;\\\\n vec4 tx = floor(gx + 0.5);\\\\n gx = gx - tx;\\\\n\\\\n vec2 g00 = vec2(gx.x,gy.x);\\\\n vec2 g10 = vec2(gx.y,gy.y);\\\\n vec2 g01 = vec2(gx.z,gy.z);\\\\n vec2 g11 = vec2(gx.w,gy.w);\\\\n\\\\n vec4 norm = taylorInvSqrt(vec4(dot(g00, g00), dot(g01, g01), dot(g10, g10), dot(g11, g11)));\\\\n g00 *= norm.x; \\\\n g01 *= norm.y; \\\\n g10 *= norm.z; \\\\n g11 *= norm.w; \\\\n\\\\n float n00 = dot(g00, vec2(fx.x, fy.x));\\\\n float n10 = dot(g10, vec2(fx.y, fy.y));\\\\n float n01 = dot(g01, vec2(fx.z, fy.z));\\\\n float n11 = dot(g11, vec2(fx.w, fy.w));\\\\n\\\\n vec2 fade_xy = fade(Pf.xy);\\\\n vec2 n_x = mix(vec2(n00, n01), vec2(n10, n11), fade_xy.x);\\\\n float n_xy = mix(n_x.x, n_x.y, fade_xy.y);\\\\n return 2.3 * n_xy;\\\\n}\\\\n',[uF.CLASSIC_PERLIN_3D]:'//\\\\n// GLSL textureless classic 3D noise \\\\\\\"cnoise\\\\\\\",\\\\n// with an RSL-style periodic variant \\\\\\\"pnoise\\\\\\\".\\\\n// Author: Stefan Gustavson (stefan.gustavson@liu.se)\\\\n// Version: 2011-10-11\\\\n//\\\\n// Many thanks to Ian McEwan of Ashima Arts for the\\\\n// ideas for permutation and gradient selection.\\\\n//\\\\n// Copyright (c) 2011 Stefan Gustavson. All rights reserved.\\\\n// Distributed under the MIT license. See LICENSE file.\\\\n// https://github.com/stegu/webgl-noise\\\\n//\\\\n\\\\n// Classic Perlin noise\\\\nfloat cnoise(vec3 P)\\\\n{\\\\n vec3 Pi0 = floor(P); // Integer part for indexing\\\\n vec3 Pi1 = Pi0 + vec3(1.0); // Integer part + 1\\\\n Pi0 = mod289(Pi0);\\\\n Pi1 = mod289(Pi1);\\\\n vec3 Pf0 = fract(P); // Fractional part for interpolation\\\\n vec3 Pf1 = Pf0 - vec3(1.0); // Fractional part - 1.0\\\\n vec4 ix = vec4(Pi0.x, Pi1.x, Pi0.x, Pi1.x);\\\\n vec4 iy = vec4(Pi0.yy, Pi1.yy);\\\\n vec4 iz0 = Pi0.zzzz;\\\\n vec4 iz1 = Pi1.zzzz;\\\\n\\\\n vec4 ixy = permute(permute(ix) + iy);\\\\n vec4 ixy0 = permute(ixy + iz0);\\\\n vec4 ixy1 = permute(ixy + iz1);\\\\n\\\\n vec4 gx0 = ixy0 * (1.0 / 7.0);\\\\n vec4 gy0 = fract(floor(gx0) * (1.0 / 7.0)) - 0.5;\\\\n gx0 = fract(gx0);\\\\n vec4 gz0 = vec4(0.5) - abs(gx0) - abs(gy0);\\\\n vec4 sz0 = step(gz0, vec4(0.0));\\\\n gx0 -= sz0 * (step(0.0, gx0) - 0.5);\\\\n gy0 -= sz0 * (step(0.0, gy0) - 0.5);\\\\n\\\\n vec4 gx1 = ixy1 * (1.0 / 7.0);\\\\n vec4 gy1 = fract(floor(gx1) * (1.0 / 7.0)) - 0.5;\\\\n gx1 = fract(gx1);\\\\n vec4 gz1 = vec4(0.5) - abs(gx1) - abs(gy1);\\\\n vec4 sz1 = step(gz1, vec4(0.0));\\\\n gx1 -= sz1 * (step(0.0, gx1) - 0.5);\\\\n gy1 -= sz1 * (step(0.0, gy1) - 0.5);\\\\n\\\\n vec3 g000 = vec3(gx0.x,gy0.x,gz0.x);\\\\n vec3 g100 = vec3(gx0.y,gy0.y,gz0.y);\\\\n vec3 g010 = vec3(gx0.z,gy0.z,gz0.z);\\\\n vec3 g110 = vec3(gx0.w,gy0.w,gz0.w);\\\\n vec3 g001 = vec3(gx1.x,gy1.x,gz1.x);\\\\n vec3 g101 = vec3(gx1.y,gy1.y,gz1.y);\\\\n vec3 g011 = vec3(gx1.z,gy1.z,gz1.z);\\\\n vec3 g111 = vec3(gx1.w,gy1.w,gz1.w);\\\\n\\\\n vec4 norm0 = taylorInvSqrt(vec4(dot(g000, g000), dot(g010, g010), dot(g100, g100), dot(g110, g110)));\\\\n g000 *= norm0.x;\\\\n g010 *= norm0.y;\\\\n g100 *= norm0.z;\\\\n g110 *= norm0.w;\\\\n vec4 norm1 = taylorInvSqrt(vec4(dot(g001, g001), dot(g011, g011), dot(g101, g101), dot(g111, g111)));\\\\n g001 *= norm1.x;\\\\n g011 *= norm1.y;\\\\n g101 *= norm1.z;\\\\n g111 *= norm1.w;\\\\n\\\\n float n000 = dot(g000, Pf0);\\\\n float n100 = dot(g100, vec3(Pf1.x, Pf0.yz));\\\\n float n010 = dot(g010, vec3(Pf0.x, Pf1.y, Pf0.z));\\\\n float n110 = dot(g110, vec3(Pf1.xy, Pf0.z));\\\\n float n001 = dot(g001, vec3(Pf0.xy, Pf1.z));\\\\n float n101 = dot(g101, vec3(Pf1.x, Pf0.y, Pf1.z));\\\\n float n011 = dot(g011, vec3(Pf0.x, Pf1.yz));\\\\n float n111 = dot(g111, Pf1);\\\\n\\\\n vec3 fade_xyz = fade(Pf0);\\\\n vec4 n_z = mix(vec4(n000, n100, n010, n110), vec4(n001, n101, n011, n111), fade_xyz.z);\\\\n vec2 n_yz = mix(n_z.xy, n_z.zw, fade_xyz.y);\\\\n float n_xyz = mix(n_yz.x, n_yz.y, fade_xyz.x); \\\\n return 2.2 * n_xyz;\\\\n}\\\\n\\\\n// Classic Perlin noise, periodic variant\\\\nfloat pnoise(vec3 P, vec3 rep)\\\\n{\\\\n vec3 Pi0 = mod(floor(P), rep); // Integer part, modulo period\\\\n vec3 Pi1 = mod(Pi0 + vec3(1.0), rep); // Integer part + 1, mod period\\\\n Pi0 = mod289(Pi0);\\\\n Pi1 = mod289(Pi1);\\\\n vec3 Pf0 = fract(P); // Fractional part for interpolation\\\\n vec3 Pf1 = Pf0 - vec3(1.0); // Fractional part - 1.0\\\\n vec4 ix = vec4(Pi0.x, Pi1.x, Pi0.x, Pi1.x);\\\\n vec4 iy = vec4(Pi0.yy, Pi1.yy);\\\\n vec4 iz0 = Pi0.zzzz;\\\\n vec4 iz1 = Pi1.zzzz;\\\\n\\\\n vec4 ixy = permute(permute(ix) + iy);\\\\n vec4 ixy0 = permute(ixy + iz0);\\\\n vec4 ixy1 = permute(ixy + iz1);\\\\n\\\\n vec4 gx0 = ixy0 * (1.0 / 7.0);\\\\n vec4 gy0 = fract(floor(gx0) * (1.0 / 7.0)) - 0.5;\\\\n gx0 = fract(gx0);\\\\n vec4 gz0 = vec4(0.5) - abs(gx0) - abs(gy0);\\\\n vec4 sz0 = step(gz0, vec4(0.0));\\\\n gx0 -= sz0 * (step(0.0, gx0) - 0.5);\\\\n gy0 -= sz0 * (step(0.0, gy0) - 0.5);\\\\n\\\\n vec4 gx1 = ixy1 * (1.0 / 7.0);\\\\n vec4 gy1 = fract(floor(gx1) * (1.0 / 7.0)) - 0.5;\\\\n gx1 = fract(gx1);\\\\n vec4 gz1 = vec4(0.5) - abs(gx1) - abs(gy1);\\\\n vec4 sz1 = step(gz1, vec4(0.0));\\\\n gx1 -= sz1 * (step(0.0, gx1) - 0.5);\\\\n gy1 -= sz1 * (step(0.0, gy1) - 0.5);\\\\n\\\\n vec3 g000 = vec3(gx0.x,gy0.x,gz0.x);\\\\n vec3 g100 = vec3(gx0.y,gy0.y,gz0.y);\\\\n vec3 g010 = vec3(gx0.z,gy0.z,gz0.z);\\\\n vec3 g110 = vec3(gx0.w,gy0.w,gz0.w);\\\\n vec3 g001 = vec3(gx1.x,gy1.x,gz1.x);\\\\n vec3 g101 = vec3(gx1.y,gy1.y,gz1.y);\\\\n vec3 g011 = vec3(gx1.z,gy1.z,gz1.z);\\\\n vec3 g111 = vec3(gx1.w,gy1.w,gz1.w);\\\\n\\\\n vec4 norm0 = taylorInvSqrt(vec4(dot(g000, g000), dot(g010, g010), dot(g100, g100), dot(g110, g110)));\\\\n g000 *= norm0.x;\\\\n g010 *= norm0.y;\\\\n g100 *= norm0.z;\\\\n g110 *= norm0.w;\\\\n vec4 norm1 = taylorInvSqrt(vec4(dot(g001, g001), dot(g011, g011), dot(g101, g101), dot(g111, g111)));\\\\n g001 *= norm1.x;\\\\n g011 *= norm1.y;\\\\n g101 *= norm1.z;\\\\n g111 *= norm1.w;\\\\n\\\\n float n000 = dot(g000, Pf0);\\\\n float n100 = dot(g100, vec3(Pf1.x, Pf0.yz));\\\\n float n010 = dot(g010, vec3(Pf0.x, Pf1.y, Pf0.z));\\\\n float n110 = dot(g110, vec3(Pf1.xy, Pf0.z));\\\\n float n001 = dot(g001, vec3(Pf0.xy, Pf1.z));\\\\n float n101 = dot(g101, vec3(Pf1.x, Pf0.y, Pf1.z));\\\\n float n011 = dot(g011, vec3(Pf0.x, Pf1.yz));\\\\n float n111 = dot(g111, Pf1);\\\\n\\\\n vec3 fade_xyz = fade(Pf0);\\\\n vec4 n_z = mix(vec4(n000, n100, n010, n110), vec4(n001, n101, n011, n111), fade_xyz.z);\\\\n vec2 n_yz = mix(n_z.xy, n_z.zw, fade_xyz.y);\\\\n float n_xyz = mix(n_yz.x, n_yz.y, fade_xyz.x); \\\\n return 2.2 * n_xyz;\\\\n}\\\\n',[uF.CLASSIC_PERLIN_4D]:'//\\\\n// GLSL textureless classic 4D noise \\\\\\\"cnoise\\\\\\\",\\\\n// with an RSL-style periodic variant \\\\\\\"pnoise\\\\\\\".\\\\n// Author: Stefan Gustavson (stefan.gustavson@liu.se)\\\\n// Version: 2011-08-22\\\\n//\\\\n// Many thanks to Ian McEwan of Ashima Arts for the\\\\n// ideas for permutation and gradient selection.\\\\n//\\\\n// Copyright (c) 2011 Stefan Gustavson. All rights reserved.\\\\n// Distributed under the MIT license. See LICENSE file.\\\\n// https://github.com/stegu/webgl-noise\\\\n//\\\\n\\\\n\\\\n\\\\n// Classic Perlin noise\\\\nfloat cnoise(vec4 P)\\\\n{\\\\n vec4 Pi0 = floor(P); // Integer part for indexing\\\\n vec4 Pi1 = Pi0 + 1.0; // Integer part + 1\\\\n Pi0 = mod289(Pi0);\\\\n Pi1 = mod289(Pi1);\\\\n vec4 Pf0 = fract(P); // Fractional part for interpolation\\\\n vec4 Pf1 = Pf0 - 1.0; // Fractional part - 1.0\\\\n vec4 ix = vec4(Pi0.x, Pi1.x, Pi0.x, Pi1.x);\\\\n vec4 iy = vec4(Pi0.yy, Pi1.yy);\\\\n vec4 iz0 = vec4(Pi0.zzzz);\\\\n vec4 iz1 = vec4(Pi1.zzzz);\\\\n vec4 iw0 = vec4(Pi0.wwww);\\\\n vec4 iw1 = vec4(Pi1.wwww);\\\\n\\\\n vec4 ixy = permute(permute(ix) + iy);\\\\n vec4 ixy0 = permute(ixy + iz0);\\\\n vec4 ixy1 = permute(ixy + iz1);\\\\n vec4 ixy00 = permute(ixy0 + iw0);\\\\n vec4 ixy01 = permute(ixy0 + iw1);\\\\n vec4 ixy10 = permute(ixy1 + iw0);\\\\n vec4 ixy11 = permute(ixy1 + iw1);\\\\n\\\\n vec4 gx00 = ixy00 * (1.0 / 7.0);\\\\n vec4 gy00 = floor(gx00) * (1.0 / 7.0);\\\\n vec4 gz00 = floor(gy00) * (1.0 / 6.0);\\\\n gx00 = fract(gx00) - 0.5;\\\\n gy00 = fract(gy00) - 0.5;\\\\n gz00 = fract(gz00) - 0.5;\\\\n vec4 gw00 = vec4(0.75) - abs(gx00) - abs(gy00) - abs(gz00);\\\\n vec4 sw00 = step(gw00, vec4(0.0));\\\\n gx00 -= sw00 * (step(0.0, gx00) - 0.5);\\\\n gy00 -= sw00 * (step(0.0, gy00) - 0.5);\\\\n\\\\n vec4 gx01 = ixy01 * (1.0 / 7.0);\\\\n vec4 gy01 = floor(gx01) * (1.0 / 7.0);\\\\n vec4 gz01 = floor(gy01) * (1.0 / 6.0);\\\\n gx01 = fract(gx01) - 0.5;\\\\n gy01 = fract(gy01) - 0.5;\\\\n gz01 = fract(gz01) - 0.5;\\\\n vec4 gw01 = vec4(0.75) - abs(gx01) - abs(gy01) - abs(gz01);\\\\n vec4 sw01 = step(gw01, vec4(0.0));\\\\n gx01 -= sw01 * (step(0.0, gx01) - 0.5);\\\\n gy01 -= sw01 * (step(0.0, gy01) - 0.5);\\\\n\\\\n vec4 gx10 = ixy10 * (1.0 / 7.0);\\\\n vec4 gy10 = floor(gx10) * (1.0 / 7.0);\\\\n vec4 gz10 = floor(gy10) * (1.0 / 6.0);\\\\n gx10 = fract(gx10) - 0.5;\\\\n gy10 = fract(gy10) - 0.5;\\\\n gz10 = fract(gz10) - 0.5;\\\\n vec4 gw10 = vec4(0.75) - abs(gx10) - abs(gy10) - abs(gz10);\\\\n vec4 sw10 = step(gw10, vec4(0.0));\\\\n gx10 -= sw10 * (step(0.0, gx10) - 0.5);\\\\n gy10 -= sw10 * (step(0.0, gy10) - 0.5);\\\\n\\\\n vec4 gx11 = ixy11 * (1.0 / 7.0);\\\\n vec4 gy11 = floor(gx11) * (1.0 / 7.0);\\\\n vec4 gz11 = floor(gy11) * (1.0 / 6.0);\\\\n gx11 = fract(gx11) - 0.5;\\\\n gy11 = fract(gy11) - 0.5;\\\\n gz11 = fract(gz11) - 0.5;\\\\n vec4 gw11 = vec4(0.75) - abs(gx11) - abs(gy11) - abs(gz11);\\\\n vec4 sw11 = step(gw11, vec4(0.0));\\\\n gx11 -= sw11 * (step(0.0, gx11) - 0.5);\\\\n gy11 -= sw11 * (step(0.0, gy11) - 0.5);\\\\n\\\\n vec4 g0000 = vec4(gx00.x,gy00.x,gz00.x,gw00.x);\\\\n vec4 g1000 = vec4(gx00.y,gy00.y,gz00.y,gw00.y);\\\\n vec4 g0100 = vec4(gx00.z,gy00.z,gz00.z,gw00.z);\\\\n vec4 g1100 = vec4(gx00.w,gy00.w,gz00.w,gw00.w);\\\\n vec4 g0010 = vec4(gx10.x,gy10.x,gz10.x,gw10.x);\\\\n vec4 g1010 = vec4(gx10.y,gy10.y,gz10.y,gw10.y);\\\\n vec4 g0110 = vec4(gx10.z,gy10.z,gz10.z,gw10.z);\\\\n vec4 g1110 = vec4(gx10.w,gy10.w,gz10.w,gw10.w);\\\\n vec4 g0001 = vec4(gx01.x,gy01.x,gz01.x,gw01.x);\\\\n vec4 g1001 = vec4(gx01.y,gy01.y,gz01.y,gw01.y);\\\\n vec4 g0101 = vec4(gx01.z,gy01.z,gz01.z,gw01.z);\\\\n vec4 g1101 = vec4(gx01.w,gy01.w,gz01.w,gw01.w);\\\\n vec4 g0011 = vec4(gx11.x,gy11.x,gz11.x,gw11.x);\\\\n vec4 g1011 = vec4(gx11.y,gy11.y,gz11.y,gw11.y);\\\\n vec4 g0111 = vec4(gx11.z,gy11.z,gz11.z,gw11.z);\\\\n vec4 g1111 = vec4(gx11.w,gy11.w,gz11.w,gw11.w);\\\\n\\\\n vec4 norm00 = taylorInvSqrt(vec4(dot(g0000, g0000), dot(g0100, g0100), dot(g1000, g1000), dot(g1100, g1100)));\\\\n g0000 *= norm00.x;\\\\n g0100 *= norm00.y;\\\\n g1000 *= norm00.z;\\\\n g1100 *= norm00.w;\\\\n\\\\n vec4 norm01 = taylorInvSqrt(vec4(dot(g0001, g0001), dot(g0101, g0101), dot(g1001, g1001), dot(g1101, g1101)));\\\\n g0001 *= norm01.x;\\\\n g0101 *= norm01.y;\\\\n g1001 *= norm01.z;\\\\n g1101 *= norm01.w;\\\\n\\\\n vec4 norm10 = taylorInvSqrt(vec4(dot(g0010, g0010), dot(g0110, g0110), dot(g1010, g1010), dot(g1110, g1110)));\\\\n g0010 *= norm10.x;\\\\n g0110 *= norm10.y;\\\\n g1010 *= norm10.z;\\\\n g1110 *= norm10.w;\\\\n\\\\n vec4 norm11 = taylorInvSqrt(vec4(dot(g0011, g0011), dot(g0111, g0111), dot(g1011, g1011), dot(g1111, g1111)));\\\\n g0011 *= norm11.x;\\\\n g0111 *= norm11.y;\\\\n g1011 *= norm11.z;\\\\n g1111 *= norm11.w;\\\\n\\\\n float n0000 = dot(g0000, Pf0);\\\\n float n1000 = dot(g1000, vec4(Pf1.x, Pf0.yzw));\\\\n float n0100 = dot(g0100, vec4(Pf0.x, Pf1.y, Pf0.zw));\\\\n float n1100 = dot(g1100, vec4(Pf1.xy, Pf0.zw));\\\\n float n0010 = dot(g0010, vec4(Pf0.xy, Pf1.z, Pf0.w));\\\\n float n1010 = dot(g1010, vec4(Pf1.x, Pf0.y, Pf1.z, Pf0.w));\\\\n float n0110 = dot(g0110, vec4(Pf0.x, Pf1.yz, Pf0.w));\\\\n float n1110 = dot(g1110, vec4(Pf1.xyz, Pf0.w));\\\\n float n0001 = dot(g0001, vec4(Pf0.xyz, Pf1.w));\\\\n float n1001 = dot(g1001, vec4(Pf1.x, Pf0.yz, Pf1.w));\\\\n float n0101 = dot(g0101, vec4(Pf0.x, Pf1.y, Pf0.z, Pf1.w));\\\\n float n1101 = dot(g1101, vec4(Pf1.xy, Pf0.z, Pf1.w));\\\\n float n0011 = dot(g0011, vec4(Pf0.xy, Pf1.zw));\\\\n float n1011 = dot(g1011, vec4(Pf1.x, Pf0.y, Pf1.zw));\\\\n float n0111 = dot(g0111, vec4(Pf0.x, Pf1.yzw));\\\\n float n1111 = dot(g1111, Pf1);\\\\n\\\\n vec4 fade_xyzw = fade(Pf0);\\\\n vec4 n_0w = mix(vec4(n0000, n1000, n0100, n1100), vec4(n0001, n1001, n0101, n1101), fade_xyzw.w);\\\\n vec4 n_1w = mix(vec4(n0010, n1010, n0110, n1110), vec4(n0011, n1011, n0111, n1111), fade_xyzw.w);\\\\n vec4 n_zw = mix(n_0w, n_1w, fade_xyzw.z);\\\\n vec2 n_yzw = mix(n_zw.xy, n_zw.zw, fade_xyzw.y);\\\\n float n_xyzw = mix(n_yzw.x, n_yzw.y, fade_xyzw.x);\\\\n return 2.2 * n_xyzw;\\\\n}\\\\n\\\\n// Classic Perlin noise, periodic version\\\\nfloat pnoise(vec4 P, vec4 rep)\\\\n{\\\\n vec4 Pi0 = mod(floor(P), rep); // Integer part modulo rep\\\\n vec4 Pi1 = mod(Pi0 + 1.0, rep); // Integer part + 1 mod rep\\\\n Pi0 = mod289(Pi0);\\\\n Pi1 = mod289(Pi1);\\\\n vec4 Pf0 = fract(P); // Fractional part for interpolation\\\\n vec4 Pf1 = Pf0 - 1.0; // Fractional part - 1.0\\\\n vec4 ix = vec4(Pi0.x, Pi1.x, Pi0.x, Pi1.x);\\\\n vec4 iy = vec4(Pi0.yy, Pi1.yy);\\\\n vec4 iz0 = vec4(Pi0.zzzz);\\\\n vec4 iz1 = vec4(Pi1.zzzz);\\\\n vec4 iw0 = vec4(Pi0.wwww);\\\\n vec4 iw1 = vec4(Pi1.wwww);\\\\n\\\\n vec4 ixy = permute(permute(ix) + iy);\\\\n vec4 ixy0 = permute(ixy + iz0);\\\\n vec4 ixy1 = permute(ixy + iz1);\\\\n vec4 ixy00 = permute(ixy0 + iw0);\\\\n vec4 ixy01 = permute(ixy0 + iw1);\\\\n vec4 ixy10 = permute(ixy1 + iw0);\\\\n vec4 ixy11 = permute(ixy1 + iw1);\\\\n\\\\n vec4 gx00 = ixy00 * (1.0 / 7.0);\\\\n vec4 gy00 = floor(gx00) * (1.0 / 7.0);\\\\n vec4 gz00 = floor(gy00) * (1.0 / 6.0);\\\\n gx00 = fract(gx00) - 0.5;\\\\n gy00 = fract(gy00) - 0.5;\\\\n gz00 = fract(gz00) - 0.5;\\\\n vec4 gw00 = vec4(0.75) - abs(gx00) - abs(gy00) - abs(gz00);\\\\n vec4 sw00 = step(gw00, vec4(0.0));\\\\n gx00 -= sw00 * (step(0.0, gx00) - 0.5);\\\\n gy00 -= sw00 * (step(0.0, gy00) - 0.5);\\\\n\\\\n vec4 gx01 = ixy01 * (1.0 / 7.0);\\\\n vec4 gy01 = floor(gx01) * (1.0 / 7.0);\\\\n vec4 gz01 = floor(gy01) * (1.0 / 6.0);\\\\n gx01 = fract(gx01) - 0.5;\\\\n gy01 = fract(gy01) - 0.5;\\\\n gz01 = fract(gz01) - 0.5;\\\\n vec4 gw01 = vec4(0.75) - abs(gx01) - abs(gy01) - abs(gz01);\\\\n vec4 sw01 = step(gw01, vec4(0.0));\\\\n gx01 -= sw01 * (step(0.0, gx01) - 0.5);\\\\n gy01 -= sw01 * (step(0.0, gy01) - 0.5);\\\\n\\\\n vec4 gx10 = ixy10 * (1.0 / 7.0);\\\\n vec4 gy10 = floor(gx10) * (1.0 / 7.0);\\\\n vec4 gz10 = floor(gy10) * (1.0 / 6.0);\\\\n gx10 = fract(gx10) - 0.5;\\\\n gy10 = fract(gy10) - 0.5;\\\\n gz10 = fract(gz10) - 0.5;\\\\n vec4 gw10 = vec4(0.75) - abs(gx10) - abs(gy10) - abs(gz10);\\\\n vec4 sw10 = step(gw10, vec4(0.0));\\\\n gx10 -= sw10 * (step(0.0, gx10) - 0.5);\\\\n gy10 -= sw10 * (step(0.0, gy10) - 0.5);\\\\n\\\\n vec4 gx11 = ixy11 * (1.0 / 7.0);\\\\n vec4 gy11 = floor(gx11) * (1.0 / 7.0);\\\\n vec4 gz11 = floor(gy11) * (1.0 / 6.0);\\\\n gx11 = fract(gx11) - 0.5;\\\\n gy11 = fract(gy11) - 0.5;\\\\n gz11 = fract(gz11) - 0.5;\\\\n vec4 gw11 = vec4(0.75) - abs(gx11) - abs(gy11) - abs(gz11);\\\\n vec4 sw11 = step(gw11, vec4(0.0));\\\\n gx11 -= sw11 * (step(0.0, gx11) - 0.5);\\\\n gy11 -= sw11 * (step(0.0, gy11) - 0.5);\\\\n\\\\n vec4 g0000 = vec4(gx00.x,gy00.x,gz00.x,gw00.x);\\\\n vec4 g1000 = vec4(gx00.y,gy00.y,gz00.y,gw00.y);\\\\n vec4 g0100 = vec4(gx00.z,gy00.z,gz00.z,gw00.z);\\\\n vec4 g1100 = vec4(gx00.w,gy00.w,gz00.w,gw00.w);\\\\n vec4 g0010 = vec4(gx10.x,gy10.x,gz10.x,gw10.x);\\\\n vec4 g1010 = vec4(gx10.y,gy10.y,gz10.y,gw10.y);\\\\n vec4 g0110 = vec4(gx10.z,gy10.z,gz10.z,gw10.z);\\\\n vec4 g1110 = vec4(gx10.w,gy10.w,gz10.w,gw10.w);\\\\n vec4 g0001 = vec4(gx01.x,gy01.x,gz01.x,gw01.x);\\\\n vec4 g1001 = vec4(gx01.y,gy01.y,gz01.y,gw01.y);\\\\n vec4 g0101 = vec4(gx01.z,gy01.z,gz01.z,gw01.z);\\\\n vec4 g1101 = vec4(gx01.w,gy01.w,gz01.w,gw01.w);\\\\n vec4 g0011 = vec4(gx11.x,gy11.x,gz11.x,gw11.x);\\\\n vec4 g1011 = vec4(gx11.y,gy11.y,gz11.y,gw11.y);\\\\n vec4 g0111 = vec4(gx11.z,gy11.z,gz11.z,gw11.z);\\\\n vec4 g1111 = vec4(gx11.w,gy11.w,gz11.w,gw11.w);\\\\n\\\\n vec4 norm00 = taylorInvSqrt(vec4(dot(g0000, g0000), dot(g0100, g0100), dot(g1000, g1000), dot(g1100, g1100)));\\\\n g0000 *= norm00.x;\\\\n g0100 *= norm00.y;\\\\n g1000 *= norm00.z;\\\\n g1100 *= norm00.w;\\\\n\\\\n vec4 norm01 = taylorInvSqrt(vec4(dot(g0001, g0001), dot(g0101, g0101), dot(g1001, g1001), dot(g1101, g1101)));\\\\n g0001 *= norm01.x;\\\\n g0101 *= norm01.y;\\\\n g1001 *= norm01.z;\\\\n g1101 *= norm01.w;\\\\n\\\\n vec4 norm10 = taylorInvSqrt(vec4(dot(g0010, g0010), dot(g0110, g0110), dot(g1010, g1010), dot(g1110, g1110)));\\\\n g0010 *= norm10.x;\\\\n g0110 *= norm10.y;\\\\n g1010 *= norm10.z;\\\\n g1110 *= norm10.w;\\\\n\\\\n vec4 norm11 = taylorInvSqrt(vec4(dot(g0011, g0011), dot(g0111, g0111), dot(g1011, g1011), dot(g1111, g1111)));\\\\n g0011 *= norm11.x;\\\\n g0111 *= norm11.y;\\\\n g1011 *= norm11.z;\\\\n g1111 *= norm11.w;\\\\n\\\\n float n0000 = dot(g0000, Pf0);\\\\n float n1000 = dot(g1000, vec4(Pf1.x, Pf0.yzw));\\\\n float n0100 = dot(g0100, vec4(Pf0.x, Pf1.y, Pf0.zw));\\\\n float n1100 = dot(g1100, vec4(Pf1.xy, Pf0.zw));\\\\n float n0010 = dot(g0010, vec4(Pf0.xy, Pf1.z, Pf0.w));\\\\n float n1010 = dot(g1010, vec4(Pf1.x, Pf0.y, Pf1.z, Pf0.w));\\\\n float n0110 = dot(g0110, vec4(Pf0.x, Pf1.yz, Pf0.w));\\\\n float n1110 = dot(g1110, vec4(Pf1.xyz, Pf0.w));\\\\n float n0001 = dot(g0001, vec4(Pf0.xyz, Pf1.w));\\\\n float n1001 = dot(g1001, vec4(Pf1.x, Pf0.yz, Pf1.w));\\\\n float n0101 = dot(g0101, vec4(Pf0.x, Pf1.y, Pf0.z, Pf1.w));\\\\n float n1101 = dot(g1101, vec4(Pf1.xy, Pf0.z, Pf1.w));\\\\n float n0011 = dot(g0011, vec4(Pf0.xy, Pf1.zw));\\\\n float n1011 = dot(g1011, vec4(Pf1.x, Pf0.y, Pf1.zw));\\\\n float n0111 = dot(g0111, vec4(Pf0.x, Pf1.yzw));\\\\n float n1111 = dot(g1111, Pf1);\\\\n\\\\n vec4 fade_xyzw = fade(Pf0);\\\\n vec4 n_0w = mix(vec4(n0000, n1000, n0100, n1100), vec4(n0001, n1001, n0101, n1101), fade_xyzw.w);\\\\n vec4 n_1w = mix(vec4(n0010, n1010, n0110, n1110), vec4(n0011, n1011, n0111, n1111), fade_xyzw.w);\\\\n vec4 n_zw = mix(n_0w, n_1w, fade_xyzw.z);\\\\n vec2 n_yzw = mix(n_zw.xy, n_zw.zw, fade_xyzw.y);\\\\n float n_xyzw = mix(n_yzw.x, n_yzw.y, fade_xyzw.x);\\\\n return 2.2 * n_xyzw;\\\\n}\\\\n',[uF.NOISE_2D]:\\\\\\\"//\\\\n// Description : Array and textureless GLSL 2D simplex noise function.\\\\n// Author : Ian McEwan, Ashima Arts.\\\\n// Maintainer : stegu\\\\n// Lastmod : 20110822 (ijm)\\\\n// License : Copyright (C) 2011 Ashima Arts. All rights reserved.\\\\n// Distributed under the MIT License. See LICENSE file.\\\\n// https://github.com/ashima/webgl-noise\\\\n// https://github.com/stegu/webgl-noise\\\\n// \\\\n\\\\n\\\\nfloat snoise(vec2 v)\\\\n {\\\\n const vec4 C = vec4(0.211324865405187, // (3.0-sqrt(3.0))/6.0\\\\n 0.366025403784439, // 0.5*(sqrt(3.0)-1.0)\\\\n -0.577350269189626, // -1.0 + 2.0 * C.x\\\\n 0.024390243902439); // 1.0 / 41.0\\\\n// First corner\\\\n vec2 i = floor(v + dot(v, C.yy) );\\\\n vec2 x0 = v - i + dot(i, C.xx);\\\\n\\\\n// Other corners\\\\n vec2 i1;\\\\n //i1.x = step( x0.y, x0.x ); // x0.x > x0.y ? 1.0 : 0.0\\\\n //i1.y = 1.0 - i1.x;\\\\n i1 = (x0.x > x0.y) ? vec2(1.0, 0.0) : vec2(0.0, 1.0);\\\\n // x0 = x0 - 0.0 + 0.0 * C.xx ;\\\\n // x1 = x0 - i1 + 1.0 * C.xx ;\\\\n // x2 = x0 - 1.0 + 2.0 * C.xx ;\\\\n vec4 x12 = x0.xyxy + C.xxzz;\\\\n x12.xy -= i1;\\\\n\\\\n// Permutations\\\\n i = mod289(i); // Avoid truncation effects in permutation\\\\n vec3 p = permute( permute( i.y + vec3(0.0, i1.y, 1.0 ))\\\\n\\\\t\\\\t+ i.x + vec3(0.0, i1.x, 1.0 ));\\\\n\\\\n vec3 m = max(0.5 - vec3(dot(x0,x0), dot(x12.xy,x12.xy), dot(x12.zw,x12.zw)), 0.0);\\\\n m = m*m ;\\\\n m = m*m ;\\\\n\\\\n// Gradients: 41 points uniformly over a line, mapped onto a diamond.\\\\n// The ring size 17*17 = 289 is close to a multiple of 41 (41*7 = 287)\\\\n\\\\n vec3 x = 2.0 * fract(p * C.www) - 1.0;\\\\n vec3 h = abs(x) - 0.5;\\\\n vec3 ox = floor(x + 0.5);\\\\n vec3 a0 = x - ox;\\\\n\\\\n// Normalise gradients implicitly by scaling m\\\\n// Approximation of: m *= inversesqrt( a0*a0 + h*h );\\\\n m *= 1.79284291400159 - 0.85373472095314 * ( a0*a0 + h*h );\\\\n\\\\n// Compute final noise value at P\\\\n vec3 g;\\\\n g.x = a0.x * x0.x + h.x * x0.y;\\\\n g.yz = a0.yz * x12.xz + h.yz * x12.yw;\\\\n return 130.0 * dot(m, g);\\\\n}\\\\n\\\\\\\",[uF.NOISE_3D]:\\\\\\\"//\\\\n// Description : Array and textureless GLSL 2D/3D/4D simplex \\\\n// noise functions.\\\\n// Author : Ian McEwan, Ashima Arts.\\\\n// Maintainer : stegu\\\\n// Lastmod : 20110822 (ijm)\\\\n// License : Copyright (C) 2011 Ashima Arts. All rights reserved.\\\\n// Distributed under the MIT License. See LICENSE file.\\\\n// https://github.com/ashima/webgl-noise\\\\n// https://github.com/stegu/webgl-noise\\\\n// \\\\n\\\\n\\\\n\\\\nfloat snoise(vec3 v)\\\\n { \\\\n const vec2 C = vec2(1.0/6.0, 1.0/3.0) ;\\\\n const vec4 D = vec4(0.0, 0.5, 1.0, 2.0);\\\\n\\\\n// First corner\\\\n vec3 i = floor(v + dot(v, C.yyy) );\\\\n vec3 x0 = v - i + dot(i, C.xxx) ;\\\\n\\\\n// Other corners\\\\n vec3 g = step(x0.yzx, x0.xyz);\\\\n vec3 l = 1.0 - g;\\\\n vec3 i1 = min( g.xyz, l.zxy );\\\\n vec3 i2 = max( g.xyz, l.zxy );\\\\n\\\\n // x0 = x0 - 0.0 + 0.0 * C.xxx;\\\\n // x1 = x0 - i1 + 1.0 * C.xxx;\\\\n // x2 = x0 - i2 + 2.0 * C.xxx;\\\\n // x3 = x0 - 1.0 + 3.0 * C.xxx;\\\\n vec3 x1 = x0 - i1 + C.xxx;\\\\n vec3 x2 = x0 - i2 + C.yyy; // 2.0*C.x = 1/3 = C.y\\\\n vec3 x3 = x0 - D.yyy; // -1.0+3.0*C.x = -0.5 = -D.y\\\\n\\\\n// Permutations\\\\n i = mod289(i); \\\\n vec4 p = permute( permute( permute( \\\\n i.z + vec4(0.0, i1.z, i2.z, 1.0 ))\\\\n + i.y + vec4(0.0, i1.y, i2.y, 1.0 )) \\\\n + i.x + vec4(0.0, i1.x, i2.x, 1.0 ));\\\\n\\\\n// Gradients: 7x7 points over a square, mapped onto an octahedron.\\\\n// The ring size 17*17 = 289 is close to a multiple of 49 (49*6 = 294)\\\\n float n_ = 0.142857142857; // 1.0/7.0\\\\n vec3 ns = n_ * D.wyz - D.xzx;\\\\n\\\\n vec4 j = p - 49.0 * floor(p * ns.z * ns.z); // mod(p,7*7)\\\\n\\\\n vec4 x_ = floor(j * ns.z);\\\\n vec4 y_ = floor(j - 7.0 * x_ ); // mod(j,N)\\\\n\\\\n vec4 x = x_ *ns.x + ns.yyyy;\\\\n vec4 y = y_ *ns.x + ns.yyyy;\\\\n vec4 h = 1.0 - abs(x) - abs(y);\\\\n\\\\n vec4 b0 = vec4( x.xy, y.xy );\\\\n vec4 b1 = vec4( x.zw, y.zw );\\\\n\\\\n //vec4 s0 = vec4(lessThan(b0,0.0))*2.0 - 1.0;\\\\n //vec4 s1 = vec4(lessThan(b1,0.0))*2.0 - 1.0;\\\\n vec4 s0 = floor(b0)*2.0 + 1.0;\\\\n vec4 s1 = floor(b1)*2.0 + 1.0;\\\\n vec4 sh = -step(h, vec4(0.0));\\\\n\\\\n vec4 a0 = b0.xzyw + s0.xzyw*sh.xxyy ;\\\\n vec4 a1 = b1.xzyw + s1.xzyw*sh.zzww ;\\\\n\\\\n vec3 p0 = vec3(a0.xy,h.x);\\\\n vec3 p1 = vec3(a0.zw,h.y);\\\\n vec3 p2 = vec3(a1.xy,h.z);\\\\n vec3 p3 = vec3(a1.zw,h.w);\\\\n\\\\n//Normalise gradients\\\\n vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\\\\n p0 *= norm.x;\\\\n p1 *= norm.y;\\\\n p2 *= norm.z;\\\\n p3 *= norm.w;\\\\n\\\\n// Mix final noise value\\\\n vec4 m = max(0.6 - vec4(dot(x0,x0), dot(x1,x1), dot(x2,x2), dot(x3,x3)), 0.0);\\\\n m = m * m;\\\\n return 42.0 * dot( m*m, vec4( dot(p0,x0), dot(p1,x1), \\\\n dot(p2,x2), dot(p3,x3) ) );\\\\n }\\\\n\\\\\\\",[uF.NOISE_4D]:\\\\\\\"//\\\\n// Description : Array and textureless GLSL 2D/3D/4D simplex \\\\n// noise functions.\\\\n// Author : Ian McEwan, Ashima Arts.\\\\n// Maintainer : stegu\\\\n// Lastmod : 20110822 (ijm)\\\\n// License : Copyright (C) 2011 Ashima Arts. All rights reserved.\\\\n// Distributed under the MIT License. See LICENSE file.\\\\n// https://github.com/ashima/webgl-noise\\\\n// https://github.com/stegu/webgl-noise\\\\n// \\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\\n\\\\nvec4 grad4(float j, vec4 ip)\\\\n {\\\\n const vec4 ones = vec4(1.0, 1.0, 1.0, -1.0);\\\\n vec4 p,s;\\\\n\\\\n p.xyz = floor( fract (vec3(j) * ip.xyz) * 7.0) * ip.z - 1.0;\\\\n p.w = 1.5 - dot(abs(p.xyz), ones.xyz);\\\\n s = vec4(lessThan(p, vec4(0.0)));\\\\n p.xyz = p.xyz + (s.xyz*2.0 - 1.0) * s.www; \\\\n\\\\n return p;\\\\n }\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\n// (sqrt(5) - 1)/4 = F4, used once below\\\\n#define F4 0.309016994374947451\\\\n\\\\nfloat snoise(vec4 v)\\\\n {\\\\n const vec4 C = vec4( 0.138196601125011, // (5 - sqrt(5))/20 G4\\\\n 0.276393202250021, // 2 * G4\\\\n 0.414589803375032, // 3 * G4\\\\n -0.447213595499958); // -1 + 4 * G4\\\\n\\\\n// First corner\\\\n vec4 i = floor(v + dot(v, vec4(F4)) );\\\\n vec4 x0 = v - i + dot(i, C.xxxx);\\\\n\\\\n// Other corners\\\\n\\\\n// Rank sorting originally contributed by Bill Licea-Kane, AMD (formerly ATI)\\\\n vec4 i0;\\\\n vec3 isX = step( x0.yzw, x0.xxx );\\\\n vec3 isYZ = step( x0.zww, x0.yyz );\\\\n// i0.x = dot( isX, vec3( 1.0 ) );\\\\n i0.x = isX.x + isX.y + isX.z;\\\\n i0.yzw = 1.0 - isX;\\\\n// i0.y += dot( isYZ.xy, vec2( 1.0 ) );\\\\n i0.y += isYZ.x + isYZ.y;\\\\n i0.zw += 1.0 - isYZ.xy;\\\\n i0.z += isYZ.z;\\\\n i0.w += 1.0 - isYZ.z;\\\\n\\\\n // i0 now contains the unique values 0,1,2,3 in each channel\\\\n vec4 i3 = clamp( i0, 0.0, 1.0 );\\\\n vec4 i2 = clamp( i0-1.0, 0.0, 1.0 );\\\\n vec4 i1 = clamp( i0-2.0, 0.0, 1.0 );\\\\n\\\\n // x0 = x0 - 0.0 + 0.0 * C.xxxx\\\\n // x1 = x0 - i1 + 1.0 * C.xxxx\\\\n // x2 = x0 - i2 + 2.0 * C.xxxx\\\\n // x3 = x0 - i3 + 3.0 * C.xxxx\\\\n // x4 = x0 - 1.0 + 4.0 * C.xxxx\\\\n vec4 x1 = x0 - i1 + C.xxxx;\\\\n vec4 x2 = x0 - i2 + C.yyyy;\\\\n vec4 x3 = x0 - i3 + C.zzzz;\\\\n vec4 x4 = x0 + C.wwww;\\\\n\\\\n// Permutations\\\\n i = mod289(i); \\\\n float j0 = permute( permute( permute( permute(i.w) + i.z) + i.y) + i.x);\\\\n vec4 j1 = permute( permute( permute( permute (\\\\n i.w + vec4(i1.w, i2.w, i3.w, 1.0 ))\\\\n + i.z + vec4(i1.z, i2.z, i3.z, 1.0 ))\\\\n + i.y + vec4(i1.y, i2.y, i3.y, 1.0 ))\\\\n + i.x + vec4(i1.x, i2.x, i3.x, 1.0 ));\\\\n\\\\n// Gradients: 7x7x6 points over a cube, mapped onto a 4-cross polytope\\\\n// 7*7*6 = 294, which is close to the ring size 17*17 = 289.\\\\n vec4 ip = vec4(1.0/294.0, 1.0/49.0, 1.0/7.0, 0.0) ;\\\\n\\\\n vec4 p0 = grad4(j0, ip);\\\\n vec4 p1 = grad4(j1.x, ip);\\\\n vec4 p2 = grad4(j1.y, ip);\\\\n vec4 p3 = grad4(j1.z, ip);\\\\n vec4 p4 = grad4(j1.w, ip);\\\\n\\\\n// Normalise gradients\\\\n vec4 norm = taylorInvSqrt(vec4(dot(p0,p0), dot(p1,p1), dot(p2, p2), dot(p3,p3)));\\\\n p0 *= norm.x;\\\\n p1 *= norm.y;\\\\n p2 *= norm.z;\\\\n p3 *= norm.w;\\\\n p4 *= taylorInvSqrt(dot(p4,p4));\\\\n\\\\n// Mix contributions from the five corners\\\\n vec3 m0 = max(0.6 - vec3(dot(x0,x0), dot(x1,x1), dot(x2,x2)), 0.0);\\\\n vec2 m1 = max(0.6 - vec2(dot(x3,x3), dot(x4,x4) ), 0.0);\\\\n m0 = m0 * m0;\\\\n m1 = m1 * m1;\\\\n return 49.0 * ( dot(m0*m0, vec3( dot( p0, x0 ), dot( p1, x1 ), dot( p2, x2 )))\\\\n + dot(m1*m1, vec2( dot( p3, x3 ), dot( p4, x4 ) ) ) ) ;\\\\n\\\\n }\\\\n\\\\\\\"},_F={[uF.CLASSIC_PERLIN_2D]:Uo.VEC2,[uF.CLASSIC_PERLIN_3D]:Uo.VEC3,[uF.CLASSIC_PERLIN_4D]:Uo.VEC4,[uF.NOISE_2D]:Uo.VEC2,[uF.NOISE_3D]:Uo.VEC3,[uF.NOISE_4D]:Uo.VEC4},mF={[uF.CLASSIC_PERLIN_2D]:Uo.FLOAT,[uF.CLASSIC_PERLIN_3D]:Uo.FLOAT,[uF.CLASSIC_PERLIN_4D]:Uo.FLOAT,[uF.NOISE_2D]:Uo.FLOAT,[uF.NOISE_3D]:Uo.FLOAT,[uF.NOISE_4D]:Uo.FLOAT},fF={[uF.CLASSIC_PERLIN_2D]:\\\\\\\"cnoise\\\\\\\",[uF.CLASSIC_PERLIN_3D]:\\\\\\\"cnoise\\\\\\\",[uF.CLASSIC_PERLIN_4D]:\\\\\\\"cnoise\\\\\\\",[uF.NOISE_2D]:\\\\\\\"snoise\\\\\\\",[uF.NOISE_3D]:\\\\\\\"snoise\\\\\\\",[uF.NOISE_4D]:\\\\\\\"snoise\\\\\\\"};var gF;!function(t){t[t.NoChange=0]=\\\\\\\"NoChange\\\\\\\",t[t.Float=1]=\\\\\\\"Float\\\\\\\",t[t.Vec2=2]=\\\\\\\"Vec2\\\\\\\",t[t.Vec3=3]=\\\\\\\"Vec3\\\\\\\",t[t.Vec4=4]=\\\\\\\"Vec4\\\\\\\"}(gF||(gF={}));const vF=[gF.NoChange,gF.Float,gF.Vec2,gF.Vec3,gF.Vec4],yF={[gF.NoChange]:\\\\\\\"Same as noise\\\\\\\",[gF.Float]:\\\\\\\"Float\\\\\\\",[gF.Vec2]:\\\\\\\"Vec2\\\\\\\",[gF.Vec3]:\\\\\\\"Vec3\\\\\\\",[gF.Vec4]:\\\\\\\"Vec4\\\\\\\"},xF={[gF.NoChange]:Uo.FLOAT,[gF.Float]:Uo.FLOAT,[gF.Vec2]:Uo.VEC2,[gF.Vec3]:Uo.VEC3,[gF.Vec4]:Uo.VEC4},bF=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\",\\\\\\\"w\\\\\\\"],wF=\\\\\\\"noise\\\\\\\",TF=dF.indexOf(uF.NOISE_3D),AF=gF.NoChange,MF={amp:1,freq:1};var EF;!function(t){t.AMP=\\\\\\\"amp\\\\\\\",t.POSITION=\\\\\\\"position\\\\\\\",t.FREQ=\\\\\\\"freq\\\\\\\",t.OFFSET=\\\\\\\"offset\\\\\\\"}(EF||(EF={}));const SF=new class extends ua{constructor(){super(...arguments),this.type=ha.INTEGER(TF,{menu:{entries:dF.map(((t,e)=>({name:`${t} (output: ${mF[t]})`,value:e})))}}),this.outputType=ha.INTEGER(AF,{menu:{entries:vF.map((t=>{const e=vF[t];return{name:yF[e],value:e}}))}}),this.octaves=ha.INTEGER(3,{range:[1,10],rangeLocked:[!0,!1]}),this.ampAttenuation=ha.FLOAT(.5,{range:[0,1]}),this.freqIncrease=ha.FLOAT(2,{range:[0,10],separatorAfter:!0})}};class CF extends gf{constructor(){super(...arguments),this.paramsConfig=SF}static type(){return\\\\\\\"noise\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.initializeNode(),this.io.connection_points.spare_params.set_inputless_param_names([\\\\\\\"octaves\\\\\\\",\\\\\\\"ampAttenuation\\\\\\\",\\\\\\\"freqIncrease\\\\\\\"]),this.io.outputs.setNamedOutputConnectionPoints([new qo(wF,Uo.FLOAT)]),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this)),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_output_name_function((()=>wF))}_gl_input_name(t){return[EF.AMP,EF.POSITION,EF.FREQ,EF.OFFSET][t]}paramDefaultValue(t){return MF[t]}_expected_input_types(){const t=dF[this.pv.type],e=this._expected_output_types()[0],n=_F[t];return[e,n,n,n]}_expected_output_types(){const t=dF[this.pv.type],e=vF[this.pv.outputType];return e==gF.NoChange?[_F[t]]:[xF[e]]}setLines(t){const e=[],n=[],i=dF[this.pv.type],s=pF[i],r=mF[i];e.push(new Cf(this,\\\\\\\"// Modulo 289 without a division (only multiplications)\\\\nfloat mod289(float x) {\\\\n return x - floor(x * (1.0 / 289.0)) * 289.0;\\\\n}\\\\nvec2 mod289(vec2 x) {\\\\n return x - floor(x * (1.0 / 289.0)) * 289.0;\\\\n}\\\\nvec3 mod289(vec3 x) {\\\\n return x - floor(x * (1.0 / 289.0)) * 289.0;\\\\n}\\\\nvec4 mod289(vec4 x) {\\\\n return x - floor(x * (1.0 / 289.0)) * 289.0;\\\\n}\\\\n// Modulo 7 without a division\\\\nvec3 mod7(vec3 x) {\\\\n return x - floor(x * (1.0 / 7.0)) * 7.0;\\\\n}\\\\n\\\\n// Permutation polynomial: (34x^2 + x) mod 289\\\\nfloat permute(float x) {\\\\n return mod289(((x*34.0)+1.0)*x);\\\\n}\\\\nvec3 permute(vec3 x) {\\\\n return mod289((34.0 * x + 1.0) * x);\\\\n}\\\\nvec4 permute(vec4 x) {\\\\n return mod289(((x*34.0)+1.0)*x);\\\\n}\\\\n\\\\nfloat taylorInvSqrt(float r)\\\\n{\\\\n return 1.79284291400159 - 0.85373472095314 * r;\\\\n}\\\\nvec4 taylorInvSqrt(vec4 r)\\\\n{\\\\n return 1.79284291400159 - 0.85373472095314 * r;\\\\n}\\\\n\\\\nvec2 fade(vec2 t) {\\\\n return t*t*t*(t*(t*6.0-15.0)+10.0);\\\\n}\\\\nvec3 fade(vec3 t) {\\\\n return t*t*t*(t*(t*6.0-15.0)+10.0);\\\\n}\\\\nvec4 fade(vec4 t) {\\\\n return t*t*t*(t*(t*6.0-15.0)+10.0);\\\\n}\\\\\\\")),e.push(new Cf(this,s)),e.push(new Cf(this,this.fbm_function()));const o=this._expected_output_types()[0];if(o==r){const t=this.single_noise_line();n.push(t)}else{const t=Wo[o],e=[],s=this.glVarName(\\\\\\\"noise\\\\\\\");for(let r=0;rmf.float(1e3*r))).join(\\\\\\\", \\\\\\\")})`,c=this.single_noise_line(t,t,l);n.push(c)}const r=`vec${t} ${s} = vec${t}(${e.join(\\\\\\\", \\\\\\\")})`;n.push(r)}t.addDefinitions(this,e),t.addBodyLines(this,n)}fbm_method_name(){const t=dF[this.pv.type];return`fbm_${fF[t]}_${this.name()}`}fbm_function(){const t=dF[this.pv.type],e=fF[t],n=_F[t];return`\\\\nfloat ${this.fbm_method_name()} (in ${n} st) {\\\\n\\\\tfloat value = 0.0;\\\\n\\\\tfloat amplitude = 1.0;\\\\n\\\\tfor (int i = 0; i < ${mf.integer(this.pv.octaves)}; i++) {\\\\n\\\\t\\\\tvalue += amplitude * ${e}(st);\\\\n\\\\t\\\\tst *= ${mf.float(this.pv.freqIncrease)};\\\\n\\\\t\\\\tamplitude *= ${mf.float(this.pv.ampAttenuation)};\\\\n\\\\t}\\\\n\\\\treturn value;\\\\n}\\\\n`}single_noise_line(t,e,n){const i=this.fbm_method_name(),s=mf.any(this.variableForInput(EF.AMP)),r=mf.any(this.variableForInput(EF.POSITION)),o=mf.any(this.variableForInput(EF.FREQ));let a=mf.any(this.variableForInput(EF.OFFSET));n&&(a=`(${a}+${n})`);const l=[`(${r}*${o})+${a}`].join(\\\\\\\", \\\\\\\"),c=this.glVarName(wF),h=`${s}*${i}(${l})`;if(e)return`float ${c}${t} = (${h}).${e}`;return`${this.io.outputs.namedOutputConnectionPoints()[0].type()} ${c} = ${h}`}}class NF extends NP{static type(){return\\\\\\\"null\\\\\\\"}setLines(t){const e=mf.any(this.variableForInput(this._gl_input_name(0))),n=this.io.outputs.namedOutputConnectionPoints()[0],i=`${n.type()} ${this.glVarName(n.name())} = ${e}`;t.addBodyLines(this,[i])}}const LF=new class extends ua{};class OF extends gf{constructor(){super(...arguments),this.paramsConfig=LF}static type(){return\\\\\\\"output\\\\\\\"}initializeNode(){super.initializeNode(),this.addPostDirtyHook(\\\\\\\"_set_mat_to_recompile\\\\\\\",this._set_mat_to_recompile.bind(this)),this.lifecycle.add_on_add_hook((()=>{var t,e;null===(e=null===(t=this.material_node)||void 0===t?void 0:t.assemblerController)||void 0===e||e.add_output_inputs(this)}))}setLines(t){t.assembler().set_node_lines_output(this,t)}}class PF{constructor(){this._param_configs=[]}reset(){this._param_configs=[]}push(t){this._param_configs.push(t)}list(){return this._param_configs}}const RF=new class extends ua{constructor(){super(...arguments),this.name=ha.STRING(\\\\\\\"\\\\\\\"),this.type=ha.INTEGER(Go.indexOf(Uo.FLOAT),{menu:{entries:Go.map(((t,e)=>({name:t,value:e})))}}),this.asColor=ha.BOOLEAN(0,{visibleIf:{type:Go.indexOf(Uo.VEC3)}})}};class IF extends gf{constructor(){super(...arguments),this.paramsConfig=RF,this._allow_inputs_created_from_params=!1,this._on_create_set_name_if_none_bound=this._on_create_set_name_if_none.bind(this)}static type(){return\\\\\\\"param\\\\\\\"}initializeNode(){this.addPostDirtyHook(\\\\\\\"_set_mat_to_recompile\\\\\\\",this._set_mat_to_recompile.bind(this)),this.lifecycle.add_on_create_hook(this._on_create_set_name_if_none_bound),this.io.connection_points.initializeNode(),this.io.connection_points.set_expected_input_types_function((()=>[])),this.io.connection_points.set_expected_output_types_function((()=>[Go[this.pv.type]])),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name])}))}))}setLines(t){const e=[],n=Go[this.pv.type],i=this.uniform_name();e.push(new Nf(this,n,i)),t.addDefinitions(this,e)}paramsGenerating(){return!0}setParamConfigs(){const t=Go[this.pv.type],e=jo[t];let n=Vo[t];if(this._param_configs_controller=this._param_configs_controller||new PF,this._param_configs_controller.reset(),n==Cr.VECTOR3&&this.p.asColor.value&&m.isArray(e)&&3==e.length){const t=new tg(Cr.COLOR,this.pv.name,e,this.uniform_name());this._param_configs_controller.push(t)}else{const t=new tg(n,this.pv.name,e,this.uniform_name());this._param_configs_controller.push(t)}}uniform_name(){const t=this.io.outputs.namedOutputConnectionPoints()[0];return this.glVarName(t.name())}set_gl_type(t){const e=Go.indexOf(t);this.p.type.set(e)}_on_create_set_name_if_none(){\\\\\\\"\\\\\\\"==this.pv.name&&this.p.name.set(this.name())}}class FF extends CP{static type(){return\\\\\\\"refract\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function((t=>[\\\\\\\"I\\\\\\\",\\\\\\\"N\\\\\\\",\\\\\\\"eta\\\\\\\"][t])),this.io.connection_points.set_output_name_function((t=>\\\\\\\"refract\\\\\\\")),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this))}gl_method_name(){return\\\\\\\"refract\\\\\\\"}_expected_input_types(){const t=this.io.connection_points.first_input_connection_type()||Uo.VEC3;return[t,t,Uo.FLOAT]}_expected_output_types(){return[this._expected_input_types()[0]]}}const DF=\\\\\\\"SSSModel\\\\\\\";const BF=new class extends ua{constructor(){super(...arguments),this.color=ha.COLOR([1,1,1]),this.thickness=ha.FLOAT(.1),this.power=ha.FLOAT(2),this.scale=ha.FLOAT(16),this.distortion=ha.FLOAT(.1),this.ambient=ha.FLOAT(.4),this.attenuation=ha.FLOAT(.8)}};class zF extends gf{constructor(){super(...arguments),this.paramsConfig=BF}static type(){return\\\\\\\"SSSModel\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(DF,Uo.SSS_MODEL)])}setLines(t){const e=[],n=this.glVarName(DF);e.push(`SSSModel ${n}`),e.push(`${n}.isActive = true;`),e.push(this._paramLineFloat(n,this.p.color)),e.push(this._paramLineFloat(n,this.p.thickness)),e.push(this._paramLineFloat(n,this.p.power)),e.push(this._paramLineFloat(n,this.p.scale)),e.push(this._paramLineFloat(n,this.p.distortion)),e.push(this._paramLineFloat(n,this.p.ambient)),e.push(this._paramLineFloat(n,this.p.attenuation)),t.addBodyLines(this,e)}_paramLineFloat(t,e){return`${t}.${e.name()} = ${mf.vector3(this.variableForInputParam(e))};`}}class kF extends NP{static type(){return\\\\\\\"quatMult\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function((t=>[\\\\\\\"quat0\\\\\\\",\\\\\\\"quat1\\\\\\\"][t])),this.io.connection_points.set_expected_input_types_function((()=>[Uo.VEC4,Uo.VEC4])),this.io.connection_points.set_expected_output_types_function((()=>[Uo.VEC4]))}gl_method_name(){return\\\\\\\"quatMult\\\\\\\"}gl_function_definitions(){return[new Cf(this,PR)]}}var UF;!function(t){t.AXIS=\\\\\\\"axis\\\\\\\",t.ANGLE=\\\\\\\"angle\\\\\\\"}(UF||(UF={}));const GF=[UF.AXIS,UF.ANGLE],VF={[UF.AXIS]:[0,0,1],[UF.ANGLE]:0};class HF extends LP{static type(){return\\\\\\\"quatFromAxisAngle\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function((t=>GF[t])),this.io.connection_points.set_expected_input_types_function((()=>[Uo.VEC3,Uo.FLOAT])),this.io.connection_points.set_expected_output_types_function((()=>[Uo.VEC4]))}paramDefaultValue(t){return VF[t]}gl_method_name(){return\\\\\\\"quatFromAxisAngle\\\\\\\"}gl_function_definitions(){return[new Cf(this,PR)]}}class jF extends NP{static type(){return\\\\\\\"quatToAngle\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function((t=>[\\\\\\\"quat\\\\\\\"][t])),this.io.connection_points.set_expected_input_types_function((()=>[Uo.VEC4])),this.io.connection_points.set_expected_output_types_function((()=>[Uo.FLOAT]))}gl_method_name(){return\\\\\\\"quatToAngle\\\\\\\"}gl_function_definitions(){return[new Cf(this,PR)]}}class WF extends NP{static type(){return\\\\\\\"quatToAxis\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.set_input_name_function((t=>[\\\\\\\"quat\\\\\\\"][t])),this.io.connection_points.set_expected_input_types_function((()=>[Uo.VEC4])),this.io.connection_points.set_expected_output_types_function((()=>[Uo.VEC3]))}gl_method_name(){return\\\\\\\"quatToAxis\\\\\\\"}gl_function_definitions(){return[new Cf(this,PR)]}}const qF=\\\\\\\"val\\\\\\\";const XF=new class extends ua{constructor(){super(...arguments),this.name=ha.STRING(\\\\\\\"ramp\\\\\\\"),this.input=ha.FLOAT(0)}};class YF extends gf{constructor(){super(...arguments),this.paramsConfig=XF}static type(){return\\\\\\\"ramp\\\\\\\"}initializeNode(){super.initializeNode(),this.addPostDirtyHook(\\\\\\\"_set_mat_to_recompile\\\\\\\",this._set_mat_to_recompile.bind(this)),this.io.outputs.setNamedOutputConnectionPoints([new qo(qF,Uo.FLOAT)]),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name])}))}))}setLines(t){const e=Uo.VEC3,n=this.glVarName(\\\\\\\"tmpTexureVarName\\\\\\\"),i=Uo.FLOAT,s=this._uniform_name(),r=this.glVarName(qF),o=new Nf(this,Uo.SAMPLER_2D,s);t.addDefinitions(this,[o]);const a=this.variableForInputParam(this.p.input),l=[`${e} ${n} = texture2D(${this._uniform_name()}, vec2(${a}, 0.0)).xyz`,`${i} ${r} = -1.0 + ${n}.x + ${n}.y + ${n}.z`];t.addBodyLines(this,l)}paramsGenerating(){return!0}setParamConfigs(){this._param_configs_controller=this._param_configs_controller||new PF,this._param_configs_controller.reset();const t=new tg(Cr.RAMP,this.pv.name,Ao.DEFAULT_VALUE,this._uniform_name());this._param_configs_controller.push(t)}_uniform_name(){return\\\\\\\"ramp_texture_\\\\\\\"+this.glVarName(qF)}}const $F=\\\\\\\"rand\\\\\\\";const JF=new class extends ua{constructor(){super(...arguments),this.seed=ha.VECTOR2([1,1])}};class ZF extends gf{constructor(){super(...arguments),this.paramsConfig=JF}static type(){return\\\\\\\"random\\\\\\\"}initializeNode(){super.initializeNode(),this.io.outputs.setNamedOutputConnectionPoints([new qo($F,Uo.FLOAT)])}setLines(t){const e=this.io.inputs.namedInputConnectionPoints()[0].name(),n=mf.vector2(this.variableForInput(e)),i=`float ${this.glVarName($F)} = rand(${n})`;t.addBodyLines(this,[i])}}const KF=new class extends ua{constructor(){super(...arguments),this.rgb=ha.VECTOR3([1,1,1])}};class QF extends gf{constructor(){super(...arguments),this.paramsConfig=KF}static type(){return\\\\\\\"rgbToHsv\\\\\\\"}initializeNode(){this.io.outputs.setNamedOutputConnectionPoints([new qo(\\\\\\\"hsv\\\\\\\",Uo.VEC3)])}setLines(t){const e=[],n=[];e.push(new Cf(this,\\\\\\\"// https://stackoverflow.com/questions/15095909/from-rgb-to-hsv-in-opengl-glsl\\\\nvec3 rgb2hsv(vec3 c)\\\\n{\\\\n\\\\tvec4 K = vec4(0.0, -1.0 / 3.0, 2.0 / 3.0, -1.0);\\\\n\\\\tvec4 p = mix(vec4(c.bg, K.wz), vec4(c.gb, K.xy), step(c.b, c.g));\\\\n\\\\tvec4 q = mix(vec4(p.xyw, c.r), vec4(c.r, p.yzx), step(p.x, c.r));\\\\n\\\\n\\\\tfloat d = q.x - min(q.w, q.y);\\\\n\\\\tfloat e = 1.0e-10;\\\\n\\\\treturn vec3(abs(q.z + (q.w - q.y) / (6.0 * d + e)), d / (q.x + e), q.x);\\\\n}\\\\\\\"));const i=mf.vector3(this.variableForInputParam(this.p.rgb)),s=this.glVarName(\\\\\\\"hsv\\\\\\\");n.push(`vec3 ${s} = rgb2hsv(${i})`),t.addDefinitions(this,e),t.addBodyLines(this,n)}}var tD;!function(t){t[t.AXIS=0]=\\\\\\\"AXIS\\\\\\\",t[t.QUAT=1]=\\\\\\\"QUAT\\\\\\\"}(tD||(tD={}));const eD=[tD.AXIS,tD.QUAT],nD={[tD.AXIS]:\\\\\\\"from axis + angle\\\\\\\",[tD.QUAT]:\\\\\\\"from quaternion\\\\\\\"},iD={[tD.AXIS]:[\\\\\\\"vector\\\\\\\",\\\\\\\"axis\\\\\\\",\\\\\\\"angle\\\\\\\"],[tD.QUAT]:[\\\\\\\"vector\\\\\\\",\\\\\\\"quat\\\\\\\"]},sD={[tD.AXIS]:\\\\\\\"rotateWithAxisAngle\\\\\\\",[tD.QUAT]:\\\\\\\"rotateWithQuat\\\\\\\"},rD={[tD.AXIS]:[Uo.VEC3,Uo.VEC3,Uo.FLOAT],[tD.QUAT]:[Uo.VEC3,Uo.VEC4]},oD={vector:[0,0,1],axis:[0,1,0]};const aD=new class extends ua{constructor(){super(...arguments),this.signature=ha.INTEGER(tD.AXIS,{menu:{entries:eD.map(((t,e)=>({name:nD[t],value:e})))}})}};class lD extends gf{constructor(){super(...arguments),this.paramsConfig=aD}static type(){return\\\\\\\"rotate\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this)),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this))}set_signature(t){const e=eD.indexOf(t);this.p.signature.set(e)}_gl_input_name(t){const e=eD[this.pv.signature];return iD[e][t]}paramDefaultValue(t){return oD[t]}gl_method_name(){const t=eD[this.pv.signature];return sD[t]}_expected_input_types(){const t=eD[this.pv.signature];return rD[t]}_expected_output_types(){return[Uo.VEC3]}gl_function_definitions(){return[new Cf(this,PR)]}setLines(t){const e=this.io.outputs.namedOutputConnectionPoints()[0].type(),n=this.io.inputs.namedInputConnectionPoints().map(((t,e)=>{const n=t.name();return mf.any(this.variableForInput(n))})).join(\\\\\\\", \\\\\\\"),i=`${e} ${this.glVarName(this.io.connection_points.output_name(0))} = ${this.gl_method_name()}(${n})`;t.addBodyLines(this,[i]),t.addDefinitions(this,this.gl_function_definitions())}}const cD=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\",\\\\\\\"w\\\\\\\"];class hD extends NP{static type(){return\\\\\\\"round\\\\\\\"}setLines(t){const e=this.io.inputs.namedInputConnectionPoints()[0],n=mf.vector2(this.variableForInput(e.name())),i=this.io.outputs.namedOutputConnectionPoints()[0],s=this.glVarName(i.name()),r=[];if(1==Wo[i.type()])r.push(`${i.type()} ${s} = ${this._simple_line(n)}`);else{const t=cD.map((t=>this._simple_line(`${n}.${t}`)));r.push(`${i.type()} ${s} = ${i.type()}(${t.join(\\\\\\\",\\\\\\\")})`)}t.addBodyLines(this,r)}_simple_line(t){return`sign(${t})*floor(abs(${t})+0.5)`}}const uD=new class extends ua{constructor(){super(...arguments),this.position=ha.VECTOR3([0,0,0]),this.center=ha.VECTOR3([0,0,0]),this.radius=ha.FLOAT(1),this.feather=ha.FLOAT(.1)}};class dD extends gf{constructor(){super(...arguments),this.paramsConfig=uD}static type(){return\\\\\\\"sphere\\\\\\\"}initializeNode(){super.initializeNode(),this.io.outputs.setNamedOutputConnectionPoints([new qo(\\\\\\\"float\\\\\\\",Uo.FLOAT)])}setLines(t){const e=mf.vector2(this.variableForInputParam(this.p.position)),n=mf.vector2(this.variableForInputParam(this.p.center)),i=mf.float(this.variableForInputParam(this.p.radius)),s=mf.float(this.variableForInputParam(this.p.feather)),r=`float ${this.glVarName(\\\\\\\"float\\\\\\\")} = disk3d(${e}, ${n}, ${i}, ${s})`;t.addBodyLines(this,[r]),t.addDefinitions(this,[new Cf(this,eI)])}}const pD=new class extends ua{};class _D extends gf{constructor(){super(...arguments),this.paramsConfig=pD}static type(){return ns.INPUT}initializeNode(){this.io.connection_points.set_output_name_function(this._expected_output_names.bind(this)),this.io.connection_points.set_expected_input_types_function((()=>[])),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this))}parent(){return super.parent()}_expected_output_names(t){const e=this.parent();return(null==e?void 0:e.child_expected_input_connection_point_name(t))||`out${t}`}_expected_output_types(){const t=this.parent();return(null==t?void 0:t.child_expected_input_connection_point_types())||[]}setLines(t){const e=this.parent();e&&e.set_lines_block_start(t,this)}}const mD=new class extends ua{};class fD extends gf{constructor(){super(...arguments),this.paramsConfig=mD}static type(){return\\\\\\\"switch\\\\\\\"}initializeNode(){this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this))}_gl_input_name(t){return 0==t?fD.INPUT_INDEX:\\\\\\\"in\\\\\\\"+(t-1)}_expected_input_types(){const t=this.io.connection_points.input_connection_type(1)||Uo.FLOAT,e=this.io.connections.inputConnections(),n=e?or.clamp(e.length,2,16):2,i=[Uo.INT];for(let e=0;e{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.paramName])}))}))}setLines(t){const e=mf.vector2(this.variableForInputParam(this.p.uv)),n=this.glVarName(vD.OUTPUT_NAME),i=this._uniform_name(),s=new Nf(this,Uo.SAMPLER_2D,i),r=`vec4 ${n} = texture2D(${i}, ${e})`;t.addDefinitions(this,[s]),t.addBodyLines(this,[r])}paramsGenerating(){return!0}setParamConfigs(){this._param_configs_controller=this._param_configs_controller||new PF,this._param_configs_controller.reset();const t=new tg(Cr.OPERATOR_PATH,this.pv.paramName,this.pv.defaultValue,this._uniform_name());this._param_configs_controller.push(t)}_uniform_name(){return this.glVarName(this.pv.paramName)}}var yD;vD.OUTPUT_NAME=\\\\\\\"rgba\\\\\\\",function(t){t.POSITION=\\\\\\\"position\\\\\\\",t.DIR_VEC=\\\\\\\"direction vector\\\\\\\"}(yD||(yD={}));const xD=[yD.POSITION,yD.DIR_VEC];const bD=new class extends ua{constructor(){super(...arguments),this.vec=ha.VECTOR3([0,0,0]),this.interpretation=ha.INTEGER(0,{menu:{entries:xD.map(((t,e)=>({name:t,value:e})))}})}};class wD extends gf{constructor(){super(...arguments),this.paramsConfig=bD}static type(){return\\\\\\\"toWorldSpace\\\\\\\"}initializeNode(){this.io.connection_points.spare_params.set_inputless_param_names([\\\\\\\"interpretation\\\\\\\"]),this.io.outputs.setNamedOutputConnectionPoints([new qo(\\\\\\\"out\\\\\\\",Uo.VEC3)])}setLines(t){const e=[],n=mf.vector3(this.variableForInputParam(this.p.vec)),i=this.glVarName(\\\\\\\"out\\\\\\\");switch(xD[this.pv.interpretation]){case yD.POSITION:e.push(`vec3 ${i} = (modelMatrix * vec4( ${n}, 1.0 )).xyz`);break;case yD.DIR_VEC:e.push(`vec3 ${i} = normalize( mat3( modelMatrix[0].xyz, modelMatrix[1].xyz, modelMatrix[2].xyz ) * ${n} )`)}t.addBodyLines(this,e)}}var TD;!function(t){t.CONDITION=\\\\\\\"condition\\\\\\\",t.IF_TRUE=\\\\\\\"ifTrue\\\\\\\",t.IF_FALSE=\\\\\\\"ifFalse\\\\\\\"}(TD||(TD={}));const AD=[TD.CONDITION,TD.IF_TRUE,TD.IF_FALSE];class MD extends yf{static type(){return\\\\\\\"twoWaySwitch\\\\\\\"}initializeNode(){super.initializeNode(),this.io.connection_points.initializeNode(),this.io.connection_points.set_expected_input_types_function(this._expected_input_types.bind(this)),this.io.connection_points.set_expected_output_types_function(this._expected_output_types.bind(this)),this.io.connection_points.set_input_name_function(this._gl_input_name.bind(this)),this.io.connection_points.set_output_name_function(this._gl_output_name.bind(this))}_gl_input_name(t){return AD[t]}_gl_output_name(){return\\\\\\\"val\\\\\\\"}_expected_input_types(){const t=this.io.connections.inputConnection(1)||this.io.connections.inputConnection(2),e=t?t.src_connection_point().type():Uo.FLOAT;return[Uo.BOOL,e,e]}_expected_output_types(){return[this._expected_input_types()[1]]}setLines(t){const e=[],n=this.glVarName(\\\\\\\"val\\\\\\\"),i=mf.bool(this.variableForInput(TD.CONDITION)),s=mf.any(this.variableForInput(TD.IF_TRUE)),r=mf.any(this.variableForInput(TD.IF_FALSE)),o=this._expected_output_types()[0];e.push(`${o} ${n}`),e.push(`if(${i}){`),e.push(`${n} = ${s}`),e.push(\\\\\\\"} else {\\\\\\\"),e.push(`${n} = ${r}`),e.push(\\\\\\\"}\\\\\\\"),t.addBodyLines(this,e)}}const ED=[Uo.FLOAT,Uo.VEC2,Uo.VEC3,Uo.VEC4];const SD=new class extends ua{constructor(){super(...arguments),this.name=ha.STRING(\\\\\\\"\\\\\\\"),this.type=ha.INTEGER(0,{menu:{entries:ED.map(((t,e)=>({name:t,value:e})))}})}};class CD extends gf{constructor(){super(...arguments),this.paramsConfig=SD,this._on_create_set_name_if_none_bound=this._on_create_set_name_if_none.bind(this)}static type(){return\\\\\\\"varyingRead\\\\\\\"}initializeNode(){this.addPostDirtyHook(\\\\\\\"_set_mat_to_recompile\\\\\\\",this._set_mat_to_recompile.bind(this)),this.lifecycle.add_on_create_hook(this._on_create_set_name_if_none_bound),this.io.connection_points.initializeNode(),this.io.connection_points.set_output_name_function((()=>this.output_name)),this.io.connection_points.set_expected_input_types_function((()=>[])),this.io.connection_points.set_expected_output_types_function((()=>[ED[this.pv.type]])),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name])}))}))}get output_name(){return CD.OUTPUT_NAME}setLines(t){if(t.current_shader_name==Mf.FRAGMENT){const e=this.pv.name,n=new Lf(this,this.gl_type(),e),i=this.glVarName(CD.OUTPUT_NAME),s=`${this.gl_type()} ${i} = ${e}`;t.addDefinitions(this,[n]),t.addBodyLines(this,[s])}}get attribute_name(){return this.pv.name.trim()}gl_type(){return this.io.outputs.namedOutputConnectionPoints()[0].type()}set_gl_type(t){this.p.type.set(ED.indexOf(t))}_on_create_set_name_if_none(){\\\\\\\"\\\\\\\"==this.pv.name&&this.p.name.set(this.name())}}CD.OUTPUT_NAME=\\\\\\\"fragment\\\\\\\";const ND={start:[0,0,1],end:[1,0,0],up:[0,1,0]};class LD extends(hR(\\\\\\\"vectorAlign\\\\\\\",{in:[\\\\\\\"start\\\\\\\",\\\\\\\"end\\\\\\\",\\\\\\\"up\\\\\\\"],method:\\\\\\\"vectorAlignWithUp\\\\\\\",functions:[PR]})){_expected_input_types(){const t=Uo.VEC3;return[t,t,t]}_expected_output_types(){return[Uo.VEC4]}paramDefaultValue(t){return ND[t]}}const OD={start:[0,0,1],end:[1,0,0]};class PD extends(eR(\\\\\\\"vectorAngle\\\\\\\",{in:[\\\\\\\"start\\\\\\\",\\\\\\\"end\\\\\\\"],method:\\\\\\\"vectorAngle\\\\\\\",functions:[PR]})){_expected_input_types(){const t=Uo.VEC3;return[t,t]}_expected_output_types(){return[Uo.FLOAT]}paramDefaultValue(t){return OD[t]}}const RD={only:[`${GI.context()}/${GI.type()}`,`${CI.context()}/${CI.type()}`,`${PI.context()}/${PI.type()}`]};class ID extends aa{static context(){return ts.JS}initializeBaseNode(){this.uiData.setLayoutHorizontal(),this.io.connection_points.initializeNode()}cook(){console.warn(\\\\\\\"js nodes should never cook\\\\\\\")}_set_function_node_to_recompile(){var t;null===(t=this.function_node)||void 0===t||t.assembler_controller.set_compilation_required_and_dirty(this)}get function_node(){var t;const e=this.parent();if(e)return e.type()==this.type()?null===(t=e)||void 0===t?void 0:t.function_node:e}js_var_name(t){return`v_POLY_${this.name()}_${t}`}variableForInput(t){const e=this.io.inputs.get_input_index(t),n=this.io.connections.inputConnection(e);if(n){const e=n.node_src,i=e.io.outputs.namedOutputConnectionPoints()[n.output_index];if(i){const t=i.name();return e.js_var_name(t)}throw console.warn(`no output called '${t}' for gl node ${e.path()}`),\\\\\\\"variable_for_input ERROR\\\\\\\"}return\\\\\\\"to debug...\\\\\\\"}setLines(t){}reset_code(){var t;null===(t=this._param_configs_controller)||void 0===t||t.reset()}setParamConfigs(){}param_configs(){var t;return null===(t=this._param_configs_controller)||void 0===t?void 0:t.list()}js_input_default_value(t){return null}}new class extends ua{};const FD=[Xo.FLOAT,Xo.VEC2,Xo.VEC3,Xo.VEC4];const DD=new class extends ua{constructor(){super(...arguments),this.name=ha.STRING(\\\\\\\"\\\\\\\"),this.type=ha.INTEGER(0,{menu:{entries:FD.map(((t,e)=>({name:t,value:e})))}})}};class BD extends ID{constructor(){super(...arguments),this.paramsConfig=DD,this._on_create_set_name_if_none_bound=this._on_create_set_name_if_none.bind(this)}static type(){return\\\\\\\"attribute\\\\\\\"}initializeNode(){this.lifecycle.add_on_create_hook(this._on_create_set_name_if_none_bound),this.io.connection_points.initializeNode(),this.io.connection_points.set_expected_input_types_function((()=>[])),this.io.connection_points.set_expected_output_types_function((()=>[FD[this.pv.type]]))}get input_name(){return BD.INPUT_NAME}get output_name(){return BD.OUTPUT_NAME}setLines(t){var e;null===(e=this.function_node)||void 0===e||e.assembler_controller.assembler.set_node_lines_attribute(this,t)}get attribute_name(){return this.pv.name.trim()}gl_type(){return this.io.outputs.namedOutputConnectionPoints()[0].type()}set_gl_type(t){this.p.type.set(FD.indexOf(t))}connected_input_node(){return this.io.inputs.named_input(BD.INPUT_NAME)}connected_input_connection_point(){return this.io.inputs.named_input_connection_point(BD.INPUT_NAME)}output_connection_point(){return this.io.outputs.namedOutputConnectionPointsByName(this.input_name)}get is_importing(){return this.io.outputs.used_output_names().length>0}_on_create_set_name_if_none(){\\\\\\\"\\\\\\\"==this.pv.name&&this.p.name.set(this.name())}}BD.INPUT_NAME=\\\\\\\"export\\\\\\\",BD.OUTPUT_NAME=\\\\\\\"val\\\\\\\";const zD=new class extends ua{};class kD extends ID{constructor(){super(...arguments),this.paramsConfig=zD}static type(){return\\\\\\\"globals\\\\\\\"}createParams(){var t;null===(t=this.function_node)||void 0===t||t.assembler_controller.add_globals_outputs(this)}setLines(t){var e,n;null===(n=null===(e=this.function_node)||void 0===e?void 0:e.assembler_controller)||void 0===n||n.assembler.set_node_lines_globals(this,t)}}const UD=new class extends ua{};class GD extends ID{constructor(){super(...arguments),this.paramsConfig=UD}static type(){return\\\\\\\"output\\\\\\\"}initializeNode(){super.initializeNode(),this.addPostDirtyHook(\\\\\\\"_set_mat_to_recompile\\\\\\\",this._set_function_node_to_recompile.bind(this))}createParams(){var t;null===(t=this.function_node)||void 0===t||t.assembler_controller.add_output_inputs(this)}setLines(t){var e;null===(e=this.function_node)||void 0===e||e.assembler_controller.assembler.set_node_lines_output(this,t)}}class VD{constructor(t=[]){this._definitions=t,this._errored=!1}get errored(){return this._errored}get error_message(){return this._error_message}uniq(){const t=new Map,e=[];for(let n of this._definitions)if(!this._errored){const i=n.name(),s=t.get(i);s?s.data_type!=n.data_type&&(this._errored=!0,this._error_message=`attempt to create '${n.name()}' with types '${n.data_type}' by node '${n.node.path()}', when there is already an existing with type ${s.data_type} from node '${s.node.path()}'`,console.warn(\\\\\\\"emitting error message:\\\\\\\",this._error_message)):(t.set(i,n),e.push(i))}const n=[];for(let i of e){const e=t.get(i);e&&n.push(e)}return n}}var HD;!function(t){t.ATTRIBUTE=\\\\\\\"attribute\\\\\\\",t.FUNCTION=\\\\\\\"function\\\\\\\",t.UNIFORM=\\\\\\\"uniform\\\\\\\"}(HD||(HD={}));class jD{constructor(t,e,n,i){this._definition_type=t,this._data_type=e,this._node=n,this._name=i}get definition_type(){return this._definition_type}get data_type(){return this._data_type}get node(){return this._node}name(){return this._name}collection_instance(){return new VD}}class WD extends jD{constructor(t,e,n){super(HD.UNIFORM,e,t,n),this._node=t,this._data_type=e,this._name=n}get line(){return`uniform ${this.data_type} ${this.name()}`}}class qD extends Qf{constructor(t,e,n,i){super(t,e,n),this._uniform_name=i}get uniform_name(){return this._uniform_name}static uniform_by_type(t){switch(t){case Cr.BOOLEAN:case Cr.BUTTON:return{value:0};case Cr.COLOR:return{value:new D.a(0,0,0)};case Cr.FLOAT:case Cr.FOLDER:case Cr.INTEGER:case Cr.OPERATOR_PATH:case Cr.NODE_PATH:case Cr.PARAM_PATH:return{value:0};case Cr.RAMP:case Cr.STRING:return{value:null};case Cr.VECTOR2:return{value:new d.a(0,0)};case Cr.VECTOR3:return{value:new p.a(0,0,0)};case Cr.VECTOR4:return{value:new _.a(0,0,0,0)}}os.unreachable(t)}}const XD=new class extends ua{constructor(){super(...arguments),this.name=ha.STRING(\\\\\\\"\\\\\\\"),this.type=ha.INTEGER(Yo.indexOf(Xo.FLOAT),{menu:{entries:Yo.map(((t,e)=>({name:t,value:e})))}}),this.asColor=ha.BOOLEAN(0,{visibleIf:{type:Yo.indexOf(Xo.VEC3)}})}};class YD extends ID{constructor(){super(...arguments),this.paramsConfig=XD,this._allow_inputs_created_from_params=!1,this._on_create_set_name_if_none_bound=this._on_create_set_name_if_none.bind(this)}static type(){return\\\\\\\"param\\\\\\\"}initializeNode(){this.addPostDirtyHook(\\\\\\\"_set_mat_to_recompile\\\\\\\",this._set_function_node_to_recompile.bind(this)),this.lifecycle.add_on_create_hook(this._on_create_set_name_if_none_bound),this.io.connection_points.initializeNode(),this.io.connection_points.set_expected_input_types_function((()=>[])),this.io.connection_points.set_expected_output_types_function((()=>[Yo[this.pv.type]]))}setLines(t){const e=[],n=Yo[this.pv.type],i=this.uniform_name();e.push(new WD(this,n,i)),t.addDefinitions(this,e)}setParamConfigs(){const t=Yo[this.pv.type],e=Zo[t];let n=$o[t];if(this._param_configs_controller=this._param_configs_controller||new PF,this._param_configs_controller.reset(),n==Cr.VECTOR3&&this.p.asColor.value&&m.isArray(e)&&3==e.length){const t=new qD(Cr.COLOR,this.pv.name,e,this.uniform_name());this._param_configs_controller.push(t)}else{const t=new qD(n,this.pv.name,e,this.uniform_name());this._param_configs_controller.push(t)}}uniform_name(){const t=this.io.outputs.namedOutputConnectionPoints()[0];return this.js_var_name(t.name())}set_gl_type(t){const e=Yo.indexOf(t);this.p.type.set(e)}_on_create_set_name_if_none(){\\\\\\\"\\\\\\\"==this.pv.name&&this.p.name.set(this.name())}}class $D extends aa{constructor(){super(...arguments),this._cook_main_without_inputs_when_dirty_bound=this._cook_main_without_inputs_when_dirty.bind(this)}static context(){return ts.MAT}initializeBaseNode(){super.initializeBaseNode(),this.nameController.add_post_set_fullPath_hook(this.set_material_name.bind(this)),this.addPostDirtyHook(\\\\\\\"_cook_main_without_inputs_when_dirty\\\\\\\",(()=>{setTimeout(this._cook_main_without_inputs_when_dirty_bound,0)}))}async _cook_main_without_inputs_when_dirty(){await this.cookController.cookMainWithoutInputs()}set_material_name(){this._material&&(this._material.name=this.path())}get material(){return this._material=this._material||this.createMaterial()}setMaterial(t){this._setContainer(t)}}class JD{constructor(t){this.node=t}add_params(){}update(){}get material(){return this.node.material}}const ZD={NoBlending:w.ub,NormalBlending:w.xb,AdditiveBlending:w.e,SubtractiveBlending:w.Sc,MultiplyBlending:w.mb},KD=Object.keys(ZD);function QD(t){return class extends t{constructor(){super(...arguments),this.doubleSided=ha.BOOLEAN(0),this.front=ha.BOOLEAN(1,{visibleIf:{doubleSided:!1}}),this.overrideShadowSide=ha.BOOLEAN(0),this.shadowDoubleSided=ha.BOOLEAN(0,{visibleIf:{overrideShadowSide:!0}}),this.shadowFront=ha.BOOLEAN(1,{visibleIf:{overrideShadowSide:!0,shadowDoubleSided:!1}}),this.colorWrite=ha.BOOLEAN(1,{separatorBefore:!0,cook:!1,callback:(t,e)=>{tB.update(t)}}),this.depthWrite=ha.BOOLEAN(1,{cook:!1,callback:(t,e)=>{tB.update(t)}}),this.depthTest=ha.BOOLEAN(1,{cook:!1,callback:(t,e)=>{tB.update(t)}}),this.premultipliedAlpha=ha.BOOLEAN(!1,{separatorAfter:!0}),this.blending=ha.INTEGER(w.xb,{menu:{entries:KD.map((t=>({name:t,value:ZD[t]})))}}),this.dithering=ha.BOOLEAN(0),this.polygonOffset=ha.BOOLEAN(!1,{separatorBefore:!0}),this.polygonOffsetFactor=ha.INTEGER(0,{range:[0,1e3],visibleIf:{polygonOffset:1}}),this.polygonOffsetUnits=ha.INTEGER(0,{range:[0,1e3],visibleIf:{polygonOffset:1}})}}}QD(ua);class tB extends JD{constructor(t){super(t),this.node=t}initializeNode(){}async update(){const t=this.node.material,e=this.node.pv;this._updateSides(t,e),t.colorWrite=e.colorWrite,t.depthWrite=e.depthWrite,t.depthTest=e.depthTest,t.blending=e.blending,t.premultipliedAlpha=e.premultipliedAlpha,t.dithering=e.dithering,t.polygonOffset=e.polygonOffset,t.polygonOffset&&(t.polygonOffsetFactor=e.polygonOffsetFactor,t.polygonOffsetUnits=e.polygonOffsetUnits,t.needsUpdate=!0)}_updateSides(t,e){const n=e.front?w.H:w.i,i=e.doubleSided?w.z:n;if(i!=t.side&&(t.side=i,t.needsUpdate=!0),e.overrideShadowSide){const t=e.shadowFront?w.H:w.i,n=e.shadowDoubleSided?w.z:t,i=this.node.material;n!=i.shadowSide&&(i.shadowSide=n,i.needsUpdate=!0)}else t.shadowSide=null;const s=t.customMaterials;if(s){const t=Object.keys(s);for(let n of t){const t=s[n];t&&this._updateSides(t,e)}}}static async update(t){t.controllers.advancedCommon.update()}}class eB extends(QD(ua)){constructor(){super(...arguments),this.color=ha.COLOR([1,1,1]),this.lineWidth=ha.FLOAT(1,{range:[1,10],rangeLocked:[!0,!1]})}}const nB=new eB;class iB extends $D{constructor(){super(...arguments),this.paramsConfig=nB,this.controllers={advancedCommon:new tB(this)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"lineBasic\\\\\\\"}createMaterial(){return new As.a({color:16777215,linewidth:1})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();this.material.color.copy(this.pv.color),this.material.linewidth=this.pv.lineWidth,this.setMaterial(this.material)}}function sB(t){return class extends t{constructor(){super(...arguments),this.transparent=ha.BOOLEAN(0),this.opacity=ha.FLOAT(1),this.alphaTest=ha.FLOAT(0)}}}sB(ua);class rB extends JD{constructor(t){super(t),this.node=t}static update(t){const e=t.material,n=t.pv;this._updateTransparency(e,n)}static _updateTransparency(t,e){t.transparent=e.transparent,this._updateCommon(t,e)}static _updateCommon(t,e){t.uniforms.opacity&&(t.uniforms.opacity.value=e.opacity),t.opacity=e.opacity,t.alphaTest=e.alphaTest;const n=t.customMaterials;if(n){const t=Object.keys(n);for(let i of t){const t=n[i];t&&this._updateCommon(t,e)}}}}class oB extends Kf{constructor(t){super(t),this.node=t}toJSON(){const t=this.node.assemblerController;if(!t)return;const e={},n=this.node.material.customMaterials;if(n){const t=Object.keys(n);for(let i of t){const t=n[i];if(t){const n=this._materialToJson(t,{node:this.node,suffix:i});n&&(e[i]=n)}}}const i=[],s=t.assembler.param_configs();for(let t of s)i.push([t.name(),t.uniform_name]);const r=this._materialToJson(this.node.material,{node:this.node,suffix:\\\\\\\"main\\\\\\\"});r||console.warn(\\\\\\\"failed to save material from node\\\\\\\",this.node.path());return{material:r||{},uniforms_time_dependent:t.assembler.uniformsTimeDependent(),uniforms_resolution_dependent:t.assembler.uniforms_resolution_dependent(),param_uniform_pairs:i,customMaterials:e}}load(t){if(this._material=this._loadMaterial(t.material),this._material){if(this._material.customMaterials=this._material.customMaterials||{},t.customMaterials){const e=Object.keys(t.customMaterials);for(let n of e){const e=t.customMaterials[n],i=this._loadMaterial(e);i&&(this._material.customMaterials[n]=i)}}if(t.uniforms_time_dependent&&this.node.scene().uniformsController.addTimeDependentUniformOwner(this._material.uuid,this._material.uniforms),t.uniforms_resolution_dependent&&this.node.scene().uniformsController.addResolutionDependentUniformOwner(this._material.uuid,this._material.uniforms),t.param_uniform_pairs)for(let e of t.param_uniform_pairs){const t=e[0],n=e[1],i=this.node.params.get(t),s=this._material.uniforms[n],r=Object.keys(this._material.customMaterials);let o;for(let t of r){const e=this._material.customMaterials[t],i=null==e?void 0:e.uniforms[n];i&&(o=o||[],o.push(i))}i&&(s||o)&&i.options.setOption(\\\\\\\"callback\\\\\\\",(()=>{if(s&&tg.callback(i,s),o)for(let t of o)tg.callback(i,t)}))}}}material(){if(li.playerMode())return this._material}}function aB(t){return class extends t{constructor(){super(...arguments),this.setBuilderNode=ha.BOOLEAN(0,{callback:t=>{lB.PARAM_CALLBACK_setCompileRequired(t)}}),this.builderNode=ha.NODE_PATH(\\\\\\\"\\\\\\\",{visibleIf:{setBuilderNode:!0},callback:t=>{lB.PARAM_CALLBACK_setCompileRequired(t)}})}}}aB(ua);class lB extends $D{constructor(){super(...arguments),this._children_controller_context=ts.GL,this.persisted_config=new oB(this)}createMaterial(){var t;let e;return this.persisted_config&&(e=this.persisted_config.material()),e||(e=null===(t=this.assemblerController)||void 0===t?void 0:t.assembler.createMaterial()),e}get assemblerController(){return this._assembler_controller=this._assembler_controller||this._create_assembler_controller()}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}childrenAllowed(){return this.assemblerController?super.childrenAllowed():(this.scene().markAsReadOnly(this),!1)}compileIfRequired(){var t;(null===(t=this.assemblerController)||void 0===t?void 0:t.compileRequired())&&this._compile()}_compile(){const t=this.assemblerController;this.material&&t&&(t.assembler.setGlParentNode(this),this._setAssemblerGlParentNode(t),t.assembler.compileMaterial(this.material),t.post_compile())}_setAssemblerGlParentNode(t){if(!this.pv.setBuilderNode)return;const e=this.pv.builderNode.nodeWithContext(ts.MAT);if(!e)return;const n=e;n.assemblerController?n.type()==this.type()?t.assembler.setGlParentNode(n):this.states.error.set(`resolved node '${e.path()}' does not have the same type '${e.type()}' as current node '${this.type()}'`):this.states.error.set(`resolved node '${e.path()}' is not a builder node`)}static PARAM_CALLBACK_setCompileRequired(t){t.PARAM_CALLBACK_setCompileRequired()}PARAM_CALLBACK_setCompileRequired(){var t;null===(t=this.assemblerController)||void 0===t||t.setCompilationRequired(!0)}}function cB(t){return class extends t{constructor(){super(...arguments),this.useFog=ha.BOOLEAN(0)}}}cB(ua);class hB extends JD{constructor(t){super(t),this.node=t}static update(t){const e=t.material,n=t.pv;e.fog=n.useFog}}function uB(t){return class extends t{constructor(){super(...arguments),this.default=ha.FOLDER(null)}}}function dB(t){return class extends t{constructor(){super(...arguments),this.advanced=ha.FOLDER(null)}}}class pB extends(cB(QD(aB(dB(sB(uB(ua))))))){constructor(){super(...arguments),this.linewidth=ha.FLOAT(1,{range:[0,10],rangeLocked:[!0,!1]})}}const _B=new pB;class mB extends lB{constructor(){super(...arguments),this.paramsConfig=_B,this.controllers={advancedCommon:new tB(this)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"lineBasicBuilder\\\\\\\"}usedAssembler(){return jn.GL_LINE}_create_assembler_controller(){return li.assemblersRegister.assembler(this,this.usedAssembler())}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();rB.update(this),hB.update(this),this.compileIfRequired(),this.material.linewidth=this.pv.linewidth,this.setMaterial(this.material)}}function fB(t){return class extends t{constructor(){super(...arguments),this.color=ha.COLOR([1,1,1],{conversion:lo.SRGB_TO_LINEAR}),this.useVertexColors=ha.BOOLEAN(0,{separatorAfter:!0}),this.transparent=ha.BOOLEAN(0),this.opacity=ha.FLOAT(1),this.alphaTest=ha.FLOAT(0)}}}O.a;fB(ua);class gB extends JD{constructor(t){super(t),this.node=t}static update(t){const e=t.material,n=t.pv;e.color.copy(n.color);const i=n.useVertexColors;i!=e.vertexColors&&(e.vertexColors=i,e.needsUpdate=!0),e.opacity=n.opacity,e.transparent=n.transparent,e.alphaTest=n.alphaTest}}function vB(t){return class extends t{constructor(){super(...arguments),this.useFog=ha.BOOLEAN(0)}}}vB(ua);class yB extends JD{constructor(t){super(t),this.node=t}static update(t){const e=t.material,n=t.pv;e.fog=n.useFog}}function xB(t){return{cook:!1,callback:(e,n)=>{t.update(e)}}}function bB(t,e,n){return{visibleIf:{[e]:1},nodeSelection:{context:ts.COP,types:null==n?void 0:n.types},cook:!1,callback:(e,n)=>{t.update(e)}}}class wB extends JD{constructor(t,e){super(t),this.node=t,this._update_options=e}add_hooks(t,e){t.addPostDirtyHook(\\\\\\\"TextureController\\\\\\\",(()=>{this.update()})),e.addPostDirtyHook(\\\\\\\"TextureController\\\\\\\",(()=>{this.update()}))}static update(t){}async _update(t,e,n,i){if(this._update_options.uniforms){const s=t,r=e;await this._update_texture_on_uniforms(s,r,n,i)}if(this._update_options.directParams){const s=t,r=e;await this._update_texture_on_material(s,r,n,i)}}async _update_texture_on_uniforms(t,e,n,i){this._update_required_attribute(t,t.uniforms,e,n,i,this._apply_texture_on_uniforms.bind(this),this._remove_texture_from_uniforms.bind(this))}_apply_texture_on_uniforms(t,e,n,i){const s=null!=e[n]&&null!=e[n].value;let r=!1;if(s){e[n].value.uuid!=i.uuid&&(r=!0)}if(!s||r){e[n]&&(e[n].value=i),this._apply_texture_on_material(t,t,n,i),t.needsUpdate=!0;const s=t.customMaterials;if(s){const t=Object.keys(s);for(let e of t){const t=s[e];t&&this._apply_texture_on_uniforms(t,t.uniforms,n,i)}}}}_remove_texture_from_uniforms(t,e,n){if(e[n]){if(e[n].value){e[n].value=null,this._remove_texture_from_material(t,t,n),t.needsUpdate=!0;const i=t.customMaterials;if(i){const t=Object.keys(i);for(let e of t){const t=i[e];t&&this._remove_texture_from_uniforms(t,t.uniforms,n)}}}}else li.warn(`'${n}' uniform not found. existing uniforms are:`,Object.keys(e).sort())}async _update_texture_on_material(t,e,n,i){this._update_required_attribute(t,t,e,n,i,this._apply_texture_on_material.bind(this),this._remove_texture_from_material.bind(this))}_apply_texture_on_material(t,e,n,i){const s=null!=e[n];let r=!1;if(s){e[n].uuid!=i.uuid&&(r=!0)}s&&!r||(e[n]=i,t.needsUpdate=!0)}_remove_texture_from_material(t,e,n){e[n]&&(e[n]=null,t.needsUpdate=!0)}async _update_required_attribute(t,e,n,i,s,r,o){i.isDirty()&&await i.compute();if(i.value){s.isDirty()&&await s.compute();const i=s.value.nodeWithContext(ts.COP);if(i){const s=(await i.compute()).texture();if(s)return void r(t,e,n,s)}}o(t,e,n)}}function TB(t){return class extends t{constructor(){super(...arguments),this.useMap=ha.BOOLEAN(0,xB(AB)),this.map=ha.NODE_PATH(vi.EMPTY,bB(AB,\\\\\\\"useMap\\\\\\\"))}}}O.a;TB(ua);class AB extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useMap,this.node.p.map)}async update(){this._update(this.node.material,\\\\\\\"map\\\\\\\",this.node.p.useMap,this.node.p.map)}static async update(t){t.controllers.map.update()}}function MB(t){return class extends t{constructor(){super(...arguments),this.useAlphaMap=ha.BOOLEAN(0,{separatorBefore:!0,...xB(EB)}),this.alphaMap=ha.NODE_PATH(vi.EMPTY,bB(EB,\\\\\\\"useAlphaMap\\\\\\\"))}}}O.a;MB(ua);class EB extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useAlphaMap,this.node.p.alphaMap)}async update(){this._update(this.node.material,\\\\\\\"alphaMap\\\\\\\",this.node.p.useAlphaMap,this.node.p.alphaMap)}static async update(t){t.controllers.alphaMap.update()}}function SB(t){return class extends t{constructor(){super(...arguments),this.useAOMap=ha.BOOLEAN(0,{separatorBefore:!0,...xB(CB)}),this.aoMap=ha.NODE_PATH(vi.EMPTY,bB(CB,\\\\\\\"useAOMap\\\\\\\")),this.aoMapIntensity=ha.FLOAT(1,{range:[0,1],rangeLocked:[!1,!1],visibleIf:{useAOMap:1}})}}}O.a;SB(ua);class CB extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useAOMap,this.node.p.aoMap)}async update(){if(this._update(this.node.material,\\\\\\\"aoMap\\\\\\\",this.node.p.useAOMap,this.node.p.aoMap),this._update_options.uniforms){this.node.material.uniforms.aoMapIntensity.value=this.node.pv.aoMapIntensity}if(this._update_options.directParams){this.node.material.aoMapIntensity=this.node.pv.aoMapIntensity}}static async update(t){t.controllers.aoMap.update()}}var NB;!function(t){t.MULT=\\\\\\\"mult\\\\\\\",t.ADD=\\\\\\\"add\\\\\\\",t.MIX=\\\\\\\"mix\\\\\\\"}(NB||(NB={}));const LB=[NB.MULT,NB.ADD,NB.MIX],OB={[NB.MULT]:w.nb,[NB.ADD]:w.c,[NB.MIX]:w.lb};function PB(t){return class extends t{constructor(){super(...arguments),this.useEnvMap=ha.BOOLEAN(0,xB(RB)),this.envMap=ha.NODE_PATH(vi.EMPTY,bB(RB,\\\\\\\"useEnvMap\\\\\\\",{types:[Fg.CUBE_CAMERA]})),this.combine=ha.INTEGER(0,{visibleIf:{useEnvMap:1},menu:{entries:LB.map(((t,e)=>({name:t,value:e})))}}),this.reflectivity=ha.FLOAT(1,{visibleIf:{useEnvMap:1}}),this.refractionRatio=ha.FLOAT(.98,{range:[-1,1],rangeLocked:[!1,!1],visibleIf:{useEnvMap:1}})}}}PB(ua);class RB extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useEnvMap,this.node.p.envMap)}async update(){this._update(this.node.material,\\\\\\\"envMap\\\\\\\",this.node.p.useEnvMap,this.node.p.envMap);const t=OB[LB[this.node.pv.combine]];if(this._update_options.uniforms){const t=this.node.material;t.uniforms.reflectivity.value=this.node.pv.reflectivity,t.uniforms.refractionRatio.value=this.node.pv.refractionRatio}if(this._update_options.directParams){const e=this.node.material;e.combine=t,e.reflectivity=this.node.pv.reflectivity,e.refractionRatio=this.node.pv.refractionRatio}}static async update(t){t.controllers.envMap.update()}}function IB(t){return class extends t{constructor(){super(...arguments),this.useLightMap=ha.BOOLEAN(0,{separatorBefore:!0,...xB(FB)}),this.lightMap=ha.NODE_PATH(vi.EMPTY,bB(FB,\\\\\\\"useLightMap\\\\\\\")),this.lightMapIntensity=ha.FLOAT(1,{visibleIf:{useLightMap:1}})}}}O.a;IB(ua);class FB extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useLightMap,this.node.p.lightMap)}async update(){if(this._update(this.node.material,\\\\\\\"lightMap\\\\\\\",this.node.p.useLightMap,this.node.p.lightMap),this._update_options.uniforms){this.node.material.uniforms.lightMapIntensity.value=this.node.pv.lightMapIntensity}if(this._update_options.directParams){this.node.material.lightMapIntensity=this.node.pv.lightMapIntensity}}static async update(t){t.controllers.lightMap.update()}}var DB;!function(t){t.ROUND=\\\\\\\"round\\\\\\\",t.BUTT=\\\\\\\"butt\\\\\\\",t.SQUARE=\\\\\\\"square\\\\\\\"}(DB||(DB={}));const BB=[DB.ROUND,DB.BUTT,DB.SQUARE];var zB;!function(t){t.ROUND=\\\\\\\"round\\\\\\\",t.BEVEL=\\\\\\\"bevel\\\\\\\",t.MITER=\\\\\\\"miter\\\\\\\"}(zB||(zB={}));const kB=[zB.ROUND,zB.BEVEL,zB.MITER];function UB(t){return class extends t{constructor(){super(...arguments),this.wireframe=ha.BOOLEAN(0,{separatorBefore:!0}),this.wireframeLinecap=ha.INTEGER(0,{menu:{entries:BB.map(((t,e)=>({name:t,value:e})))},visibleIf:{wireframe:1}}),this.wireframeLinejoin=ha.INTEGER(0,{menu:{entries:kB.map(((t,e)=>({name:t,value:e})))},visibleIf:{wireframe:1}})}}}O.a;UB(ua);class GB extends JD{constructor(t){super(t),this.node=t}static update(t){const e=t.material,n=t.pv;e.wireframe=n.wireframe,e.wireframeLinecap=BB[n.wireframeLinecap],e.wireframeLinejoin=kB[n.wireframeLinejoin],e.needsUpdate=!0}}function VB(t){return class extends t{constructor(){super(...arguments),this.textures=ha.FOLDER(null)}}}const HB={directParams:!0};class jB extends(vB(UB(QD(dB(IB(PB(SB(MB(TB(VB(fB(uB(ua))))))))))))){}const WB=new jB;class qB extends $D{constructor(){super(...arguments),this.paramsConfig=WB,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,HB),aoMap:new CB(this,HB),envMap:new RB(this,HB),lightMap:new FB(this,HB),map:new AB(this,HB)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshBasic\\\\\\\"}createMaterial(){return new lt.a({vertexColors:!1,side:w.H,color:16777215,opacity:1})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();gB.update(this),yB.update(this),GB.update(this),this.setMaterial(this.material)}}function XB(t){return class extends t{constructor(){super(...arguments),this.wireframe=ha.BOOLEAN(0)}}}XB(ua);class YB extends JD{constructor(t){super(t),this.node=t}static update(t){const e=t.material,n=t.pv;e.wireframe=n.wireframe,e.needsUpdate=!0}}const $B={uniforms:!0};class JB extends(cB(XB(QD(aB(dB(PB(SB(MB(TB(VB(sB(uB(ua))))))))))))){}const ZB=new JB;class KB extends lB{constructor(){super(...arguments),this.paramsConfig=ZB,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,$B),aoMap:new CB(this,$B),envMap:new RB(this,$B),map:new AB(this,$B)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshBasicBuilder\\\\\\\"}usedAssembler(){return jn.GL_MESH_BASIC}_create_assembler_controller(){return li.assemblersRegister.assembler(this,this.usedAssembler())}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();rB.update(this),hB.update(this),YB.update(this),this.compileIfRequired(),this.setMaterial(this.material)}}function QB(t){return class extends t{constructor(){super(...arguments),this.emissive=ha.COLOR([0,0,0],{separatorBefore:!0}),this.useEmissiveMap=ha.BOOLEAN(0,xB(tz)),this.emissiveMap=ha.NODE_PATH(vi.EMPTY,bB(tz,\\\\\\\"useEmissiveMap\\\\\\\")),this.emissiveIntensity=ha.FLOAT(1)}}}O.a;QB(ua);class tz extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useEmissiveMap,this.node.p.emissiveMap)}async update(){if(this._update(this.node.material,\\\\\\\"emissiveMap\\\\\\\",this.node.p.useEmissiveMap,this.node.p.emissiveMap),this._update_options.uniforms){this.node.material.uniforms.emissive.value.copy(this.node.pv.emissive)}if(this._update_options.directParams){const t=this.node.material;t.emissive.copy(this.node.pv.emissive),t.emissiveIntensity=this.node.pv.emissiveIntensity}}static async update(t){t.controllers.emissiveMap.update()}}const ez={directParams:!0};class nz extends(vB(UB(QD(dB(IB(PB(QB(SB(MB(TB(VB(fB(uB(ua)))))))))))))){}const iz=new nz;class sz extends $D{constructor(){super(...arguments),this.paramsConfig=iz,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,ez),aoMap:new CB(this,ez),emissiveMap:new tz(this,ez),envMap:new RB(this,ez),lightMap:new FB(this,ez),map:new AB(this,ez)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshLambert\\\\\\\"}createMaterial(){return new Ts.a({vertexColors:!1,side:w.H,color:16777215,opacity:1})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();gB.update(this),yB.update(this),GB.update(this),this.setMaterial(this.material)}}function rz(t){return class extends t{constructor(){super(...arguments),this.shadowPCSS=ha.BOOLEAN(0,{callback:t=>{oz.PARAM_CALLBACK_setRecompileRequired(t)},separatorBefore:!0}),this.shadowPCSSSamplesCount=ha.INTEGER(16,{visibleIf:{shadowPCSS:1},range:[0,128],rangeLocked:[!0,!1]}),this.shadowPCSSFilterSize=ha.FLOAT(1,{visibleIf:{shadowPCSS:1},range:[0,10],rangeLocked:[!0,!1]})}}}rz(ua);class oz extends JD{constructor(t){super(t),this.node=t}initializeNode(){}static filterFragmentShader(t,e){const n=`\\\\n#define NUM_SAMPLES ${mf.integer(t.pv.shadowPCSSSamplesCount)}\\\\n#define PCSS_FILTER_SIZE ${mf.float(t.pv.shadowPCSSFilterSize)}\\\\n#define LIGHT_WORLD_SIZE 0.005\\\\n// #define LIGHT_FRUSTUM_WIDTH 1.0\\\\n// #define PCSS_FILTER_SIZE 1.0\\\\n#define LIGHT_SIZE_UV (PCSS_FILTER_SIZE * LIGHT_WORLD_SIZE)\\\\n#define NEAR_PLANE 9.5\\\\n\\\\n// #define NUM_SAMPLES 32\\\\n#define NUM_RINGS 11\\\\n#define BLOCKER_SEARCH_NUM_SAMPLES NUM_SAMPLES\\\\n#define PCF_NUM_SAMPLES NUM_SAMPLES\\\\n\\\\nvec2 poissonDisk[NUM_SAMPLES];\\\\n\\\\nvoid initPoissonSamples( const in vec2 randomSeed ) {\\\\n\\\\tfloat ANGLE_STEP = PI2 * float( NUM_RINGS ) / float( NUM_SAMPLES );\\\\n\\\\tfloat INV_NUM_SAMPLES = 1.0 / float( NUM_SAMPLES );\\\\n\\\\n\\\\t// jsfiddle that shows sample pattern: https://jsfiddle.net/a16ff1p7/\\\\n\\\\tfloat angle = rand( randomSeed ) * PI2;\\\\n\\\\tfloat radius = INV_NUM_SAMPLES;\\\\n\\\\tfloat radiusStep = radius;\\\\n\\\\n\\\\tfor( int i = 0; i < NUM_SAMPLES; i ++ ) {\\\\n\\\\t\\\\tpoissonDisk[i] = vec2( cos( angle ), sin( angle ) ) * pow( radius, 0.75 );\\\\n\\\\t\\\\tradius += radiusStep;\\\\n\\\\t\\\\tangle += ANGLE_STEP;\\\\n\\\\t}\\\\n}\\\\n\\\\nfloat penumbraSize( const in float zReceiver, const in float zBlocker ) { // Parallel plane estimation\\\\n\\\\treturn (zReceiver - zBlocker) / zBlocker;\\\\n}\\\\n\\\\nfloat findBlocker( sampler2D shadowMap, const in vec2 uv, const in float zReceiver ) {\\\\n\\\\t// This uses similar triangles to compute what\\\\n\\\\t// area of the shadow map we should search\\\\n\\\\tfloat searchRadius = LIGHT_SIZE_UV * ( zReceiver - NEAR_PLANE ) / zReceiver;\\\\n\\\\tfloat blockerDepthSum = 0.0;\\\\n\\\\tint numBlockers = 0;\\\\n\\\\n\\\\tfor( int i = 0; i < BLOCKER_SEARCH_NUM_SAMPLES; i++ ) {\\\\n\\\\t\\\\tfloat shadowMapDepth = unpackRGBAToDepth(texture2D(shadowMap, uv + poissonDisk[i] * searchRadius));\\\\n\\\\t\\\\tif ( shadowMapDepth < zReceiver ) {\\\\n\\\\t\\\\t\\\\tblockerDepthSum += shadowMapDepth;\\\\n\\\\t\\\\t\\\\tnumBlockers ++;\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n\\\\n\\\\tif( numBlockers == 0 ) return -1.0;\\\\n\\\\n\\\\treturn blockerDepthSum / float( numBlockers );\\\\n}\\\\n\\\\nfloat PCF_Filter(sampler2D shadowMap, vec2 uv, float zReceiver, float filterRadius ) {\\\\n\\\\tfloat sum = 0.0;\\\\n\\\\tfor( int i = 0; i < PCF_NUM_SAMPLES; i ++ ) {\\\\n\\\\t\\\\tfloat depth = unpackRGBAToDepth( texture2D( shadowMap, uv + poissonDisk[ i ] * filterRadius ) );\\\\n\\\\t\\\\tif( zReceiver <= depth ) sum += 1.0;\\\\n\\\\t}\\\\n\\\\tfor( int i = 0; i < PCF_NUM_SAMPLES; i ++ ) {\\\\n\\\\t\\\\tfloat depth = unpackRGBAToDepth( texture2D( shadowMap, uv + -poissonDisk[ i ].yx * filterRadius ) );\\\\n\\\\t\\\\tif( zReceiver <= depth ) sum += 1.0;\\\\n\\\\t}\\\\n\\\\treturn sum / ( 2.0 * float( PCF_NUM_SAMPLES ) );\\\\n}\\\\n\\\\nfloat PCSS ( sampler2D shadowMap, vec4 coords ) {\\\\n\\\\tvec2 uv = coords.xy;\\\\n\\\\tfloat zReceiver = coords.z; // Assumed to be eye-space z in this code\\\\n\\\\n\\\\tinitPoissonSamples( uv );\\\\n\\\\t// STEP 1: blocker search\\\\n\\\\tfloat avgBlockerDepth = findBlocker( shadowMap, uv, zReceiver );\\\\n\\\\n\\\\t//There are no occluders so early out (this saves filtering)\\\\n\\\\tif( avgBlockerDepth == -1.0 ) return 1.0;\\\\n\\\\n\\\\t// STEP 2: penumbra size\\\\n\\\\tfloat penumbraRatio = penumbraSize( zReceiver, avgBlockerDepth );\\\\n\\\\tfloat filterRadius = penumbraRatio * LIGHT_SIZE_UV * NEAR_PLANE / zReceiver;\\\\n\\\\n\\\\t// STEP 3: filtering\\\\n\\\\t//return avgBlockerDepth;\\\\n\\\\treturn PCF_Filter( shadowMap, uv, zReceiver, filterRadius );\\\\n}\\\\n`;let i=z;return i=i.replace(\\\\\\\"#ifdef USE_SHADOWMAP\\\\\\\",`#ifdef USE_SHADOWMAP\\\\n${n}\\\\n\\\\t\\\\t\\\\t\\\\t`),i=i.replace(\\\\\\\"#if defined( SHADOWMAP_TYPE_PCF )\\\\\\\",\\\\\\\"\\\\n\\\\t\\\\t\\\\t\\\\treturn PCSS( shadowMap, shadowCoord );\\\\n\\\\t\\\\t\\\\t\\\\t#if defined( SHADOWMAP_TYPE_PCF )\\\\\\\"),e=e.replace(\\\\\\\"#include \\\\\\\",i)}async update(){const t=this.node;if(!t.assemblerController)return;const e=\\\\\\\"PCSS\\\\\\\";this.node.pv.shadowPCSS?t.assemblerController.addFilterFragmentShaderCallback(e,(t=>oz.filterFragmentShader(this.node,t))):t.assemblerController.removeFilterFragmentShaderCallback(e)}static async update(t){t.controllers.PCSS.update()}static PARAM_CALLBACK_setRecompileRequired(t){t.controllers.PCSS.update()}}const az={uniforms:!0};class lz extends(rz(cB(XB(QD(aB(dB(IB(PB(QB(SB(MB(TB(VB(sB(uB(ua)))))))))))))))){}const cz=new lz;class hz extends lB{constructor(){super(...arguments),this.paramsConfig=cz,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,az),aoMap:new CB(this,az),emissiveMap:new tz(this,az),envMap:new RB(this,az),lightMap:new FB(this,az),map:new AB(this,az),PCSS:new oz(this)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshLambertBuilder\\\\\\\"}usedAssembler(){return jn.GL_MESH_LAMBERT}_create_assembler_controller(){return li.assemblersRegister.assembler(this,this.usedAssembler())}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();rB.update(this),hB.update(this),YB.update(this),this.compileIfRequired(),this.setMaterial(this.material)}}function uz(t){return class extends t{constructor(){super(...arguments),this.useBumpMap=ha.BOOLEAN(0,{separatorBefore:!0,...xB(dz)}),this.bumpMap=ha.NODE_PATH(\\\\\\\"\\\\\\\",bB(dz,\\\\\\\"useBumpMap\\\\\\\")),this.bumpScale=ha.FLOAT(1,{range:[0,1],rangeLocked:[!1,!1],...bB(dz,\\\\\\\"useBumpMap\\\\\\\")}),this.bumpBias=ha.FLOAT(0,{range:[0,1],rangeLocked:[!1,!1],...bB(dz,\\\\\\\"useBumpMap\\\\\\\")})}}}O.a;uz(ua);class dz extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useBumpMap,this.node.p.bumpMap)}async update(){if(this._update(this.node.material,\\\\\\\"bumpMap\\\\\\\",this.node.p.useBumpMap,this.node.p.bumpMap),this._update_options.uniforms){this.node.material.uniforms.bumpScale.value=this.node.pv.bumpScale}if(this._update_options.directParams){this.node.material.bumpScale=this.node.pv.bumpScale}}static async update(t){t.controllers.bumpMap.update()}}var pz;!function(t){t.TANGENT=\\\\\\\"tangent\\\\\\\",t.OBJECT=\\\\\\\"object\\\\\\\"}(pz||(pz={}));const _z=[pz.TANGENT,pz.OBJECT],mz={[pz.TANGENT]:w.Uc,[pz.OBJECT]:w.zb};function fz(t){return class extends t{constructor(){super(...arguments),this.useNormalMap=ha.BOOLEAN(0,{separatorBefore:!0,...xB(gz)}),this.normalMap=ha.NODE_PATH(vi.EMPTY,bB(gz,\\\\\\\"useNormalMap\\\\\\\")),this.normalMapType=ha.INTEGER(0,{visibleIf:{useNormalMap:1},menu:{entries:_z.map(((t,e)=>({name:t,value:e})))}}),this.normalScale=ha.VECTOR2([1,1],{visibleIf:{useNormalMap:1}})}}}O.a;fz(ua);class gz extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useNormalMap,this.node.p.normalMap)}async update(){this._update(this.node.material,\\\\\\\"normalMap\\\\\\\",this.node.p.useNormalMap,this.node.p.normalMap);const t=mz[_z[this.node.pv.normalMapType]];if(this._update_options.uniforms){this.node.material.uniforms.normalScale.value.copy(this.node.pv.normalScale)}const e=this.node.material;e.normalMapType=t,this._update_options.directParams&&e.normalScale.copy(this.node.pv.normalScale)}static async update(t){t.controllers.normalMap.update()}}function vz(t){return class extends t{constructor(){super(...arguments),this.useDisplacementMap=ha.BOOLEAN(0,{separatorBefore:!0,...xB(yz)}),this.displacementMap=ha.NODE_PATH(\\\\\\\"\\\\\\\",bB(yz,\\\\\\\"useDisplacementMap\\\\\\\")),this.displacementScale=ha.FLOAT(1,{range:[0,1],rangeLocked:[!1,!1],...bB(yz,\\\\\\\"useDisplacementMap\\\\\\\")}),this.displacementBias=ha.FLOAT(0,{range:[0,1],rangeLocked:[!1,!1],...bB(yz,\\\\\\\"useDisplacementMap\\\\\\\")})}}}O.a;vz(ua);class yz extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useDisplacementMap,this.node.p.displacementMap)}async update(){if(this._update(this.node.material,\\\\\\\"displacementMap\\\\\\\",this.node.p.useDisplacementMap,this.node.p.displacementMap),this._update_options.uniforms){const t=this.node.material;t.uniforms.displacementScale.value=this.node.pv.displacementScale,t.uniforms.displacementBias.value=this.node.pv.displacementBias}if(this._update_options.directParams){const t=this.node.material;t.displacementScale=this.node.pv.displacementScale,t.displacementBias=this.node.pv.displacementBias}}static async update(t){t.controllers.displacementMap.update()}}function xz(t){return class extends t{constructor(){super(...arguments),this.useMatcapMap=ha.BOOLEAN(0,xB(bz)),this.matcapMap=ha.NODE_PATH(vi.EMPTY,bB(bz,\\\\\\\"useMatcapMap\\\\\\\"))}}}O.a;xz(ua);class bz extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useMatcapMap,this.node.p.matcapMap)}async update(){this._update(this.node.material,\\\\\\\"matcap\\\\\\\",this.node.p.useMatcapMap,this.node.p.matcapMap)}static async update(t){t.controllers.matcap.update()}}const wz={directParams:!0};class Tz extends(vB(QD(dB(fz(vz(uz(MB(TB(xz(VB(fB(uB(ua))))))))))))){}const Az=new Tz;class Mz extends $D{constructor(){super(...arguments),this.paramsConfig=Az,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,wz),bumpMap:new dz(this,wz),displacementMap:new yz(this,wz),map:new AB(this,wz),matcap:new bz(this,wz),normalMap:new gz(this,wz)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshMatcap\\\\\\\"}createMaterial(){return new $f({vertexColors:!1,side:w.H,color:16777215,opacity:1})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();gB.update(this),yB.update(this),this.setMaterial(this.material)}}const Ez={directParams:!0};class Sz extends(vB(QD(fz(vz(uz(VB(uB(ua)))))))){}const Cz=new Sz;class Nz extends $D{constructor(){super(...arguments),this.paramsConfig=Cz,this.controllers={advancedCommon:new tB(this),bumpMap:new dz(this,Ez),displacementMap:new yz(this,Ez),normalMap:new gz(this,Ez)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshNormal\\\\\\\"}createMaterial(){return new Yf({vertexColors:!1,side:w.H,opacity:1})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();yB.update(this),this.setMaterial(this.material)}}function Lz(t){return class extends t{constructor(){super(...arguments),this.useSpecularMap=ha.BOOLEAN(0,xB(Oz)),this.specularMap=ha.NODE_PATH(vi.EMPTY,bB(Oz,\\\\\\\"useSpecularMap\\\\\\\"))}}}O.a;Lz(ua);class Oz extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useSpecularMap,this.node.p.specularMap)}async update(){this._update(this.node.material,\\\\\\\"specularMap\\\\\\\",this.node.p.useSpecularMap,this.node.p.specularMap)}static async update(t){t.controllers.specularMap.update()}}const Pz={directParams:!0};class Rz extends(vB(UB(QD(dB(Lz(fz(IB(PB(QB(vz(uz(SB(MB(TB(VB(fB(uB(ua)))))))))))))))))){constructor(){super(...arguments),this.flatShading=ha.BOOLEAN(0)}}const Iz=new Rz;class Fz extends $D{constructor(){super(...arguments),this.paramsConfig=Iz,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,Pz),aoMap:new CB(this,Pz),bumpMap:new dz(this,Pz),displacementMap:new yz(this,Pz),emissiveMap:new tz(this,Pz),envMap:new RB(this,Pz),lightMap:new FB(this,Pz),map:new AB(this,Pz),normalMap:new gz(this,Pz),specularMap:new Oz(this,Pz)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshPhong\\\\\\\"}createMaterial(){return new qf.a({vertexColors:!1,side:w.H,color:16777215,opacity:1})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();gB.update(this),yB.update(this),GB.update(this),this.material.flatShading!=this.pv.flatShading&&(this.material.flatShading=this.pv.flatShading,this.material.needsUpdate=!0),this.setMaterial(this.material)}}const Dz={uniforms:!0};class Bz extends(rz(cB(XB(QD(aB(dB(Lz(fz(IB(PB(QB(vz(uz(SB(MB(TB(VB(sB(uB(ua)))))))))))))))))))){}const zz=new Bz;class kz extends lB{constructor(){super(...arguments),this.paramsConfig=zz,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,Dz),aoMap:new CB(this,Dz),bumpMap:new dz(this,Dz),displacementMap:new yz(this,Dz),emissiveMap:new tz(this,Dz),envMap:new RB(this,Dz),lightMap:new FB(this,Dz),map:new AB(this,Dz),normalMap:new gz(this,Dz),specularMap:new Oz(this,Dz),PCSS:new oz(this)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshPhongBuilder\\\\\\\"}usedAssembler(){return jn.GL_MESH_PHONG}_create_assembler_controller(){return li.assemblersRegister.assembler(this,this.usedAssembler())}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();rB.update(this),hB.update(this),YB.update(this),this.compileIfRequired(),this.setMaterial(this.material)}}function Uz(t){return class extends t{constructor(){super(...arguments),this.useEnvMap=ha.BOOLEAN(0,{separatorBefore:!0,...xB(Gz)}),this.envMap=ha.NODE_PATH(vi.EMPTY,bB(Gz,\\\\\\\"useEnvMap\\\\\\\")),this.envMapIntensity=ha.FLOAT(1,{visibleIf:{useEnvMap:1}}),this.refractionRatio=ha.FLOAT(.98,{range:[-1,1],rangeLocked:[!1,!1],visibleIf:{useEnvMap:1}})}}}Uz(ua);class Gz extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useEnvMap,this.node.p.envMap)}async update(){if(this._update(this.node.material,\\\\\\\"envMap\\\\\\\",this.node.p.useEnvMap,this.node.p.envMap),this._update_options.uniforms){const t=this.node.material;t.uniforms.envMapIntensity.value=this.node.pv.envMapIntensity,t.uniforms.refractionRatio.value=this.node.pv.refractionRatio}if(this._update_options.directParams){const t=this.node.material;t.envMapIntensity=this.node.pv.envMapIntensity,t.refractionRatio=this.node.pv.refractionRatio}}static async update(t){t.controllers.envMap.update()}}function Vz(t){return class extends t{constructor(){super(...arguments),this.useMetalnessMap=ha.BOOLEAN(0,{separatorBefore:!0,...xB(Hz)}),this.metalnessMap=ha.NODE_PATH(vi.EMPTY,bB(Hz,\\\\\\\"useMetalnessMap\\\\\\\")),this.metalness=ha.FLOAT(1),this.useRoughnessMap=ha.BOOLEAN(0,{separatorBefore:!0,...xB(Hz)}),this.roughnessMap=ha.NODE_PATH(vi.EMPTY,bB(Hz,\\\\\\\"useRoughnessMap\\\\\\\")),this.roughness=ha.FLOAT(.5)}}}O.a;Vz(ua);class Hz extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useMetalnessMap,this.node.p.metalnessMap)}async update(){if(this._update(this.node.material,\\\\\\\"metalnessMap\\\\\\\",this.node.p.useMetalnessMap,this.node.p.metalnessMap),this._update_options.uniforms){this.node.material.uniforms.metalness.value=this.node.pv.metalness}if(this._update_options.directParams){this.node.material.metalness=this.node.pv.metalness}if(this._update(this.node.material,\\\\\\\"roughnessMap\\\\\\\",this.node.p.useRoughnessMap,this.node.p.roughnessMap),this._update_options.uniforms){this.node.material.uniforms.roughness.value=this.node.pv.roughness}if(this._update_options.directParams){this.node.material.roughness=this.node.pv.roughness}}static async update(t){t.controllers.metalnessRoughnessMap.update()}}function jz(t){return class extends t{constructor(){super(...arguments),this.clearcoat=ha.FLOAT(0,{separatorBefore:!0}),this.useClearCoatMap=ha.BOOLEAN(0,xB(qz)),this.clearcoatMap=ha.NODE_PATH(vi.EMPTY,bB(qz,\\\\\\\"useClearCoatMap\\\\\\\")),this.useClearCoatNormalMap=ha.BOOLEAN(0,xB(qz)),this.clearcoatNormalMap=ha.NODE_PATH(vi.EMPTY,bB(qz,\\\\\\\"useClearCoatNormalMap\\\\\\\")),this.clearcoatNormalScale=ha.VECTOR2([1,1],{visibleIf:{useClearCoatNormalMap:1}}),this.clearcoatRoughness=ha.FLOAT(0),this.useClearCoatRoughnessMap=ha.BOOLEAN(0,xB(qz)),this.clearcoatRoughnessMap=ha.NODE_PATH(vi.EMPTY,bB(qz,\\\\\\\"useClearCoatRoughnessMap\\\\\\\")),this.useSheen=ha.BOOLEAN(0),this.sheen=ha.FLOAT(0,{range:[0,1],rangeLocked:[!0,!1],visibleIf:{useSheen:1}}),this.sheenRoughness=ha.FLOAT(1,{range:[0,1],rangeLocked:[!0,!1],visibleIf:{useSheen:1}}),this.sheenColor=ha.COLOR([1,1,1],{visibleIf:{useSheen:1}}),this.transmission=ha.FLOAT(0,{range:[0,1]}),this.useTransmissionMap=ha.BOOLEAN(0),this.transmissionMap=ha.NODE_PATH(vi.EMPTY,{visibleIf:{useTransmissionMap:1}}),this.ior=ha.FLOAT(1.5,{range:[1,2.3333],rangeLocked:[!0,!0]}),this.thickness=ha.FLOAT(.01,{range:[0,10],rangeLocked:[!0,!1]}),this.useThicknessMap=ha.BOOLEAN(0),this.thicknessMap=ha.NODE_PATH(vi.EMPTY,{visibleIf:{useThicknessMap:1}}),this.attenuationDistance=ha.FLOAT(0,{range:[0,10],rangeLocked:[!0,!1]}),this.attenuationColor=ha.COLOR([1,1,1])}}}jz(ua);const Wz=new Wf.a;class qz extends wB{constructor(t,e){super(t,e),this.node=t,this._sheenColorClone=new D.a}initializeNode(){this.add_hooks(this.node.p.useClearCoatMap,this.node.p.clearcoatMap),this.add_hooks(this.node.p.useClearCoatNormalMap,this.node.p.clearcoatNormalMap),this.add_hooks(this.node.p.useClearCoatRoughnessMap,this.node.p.clearcoatRoughnessMap),this.add_hooks(this.node.p.useTransmissionMap,this.node.p.transmissionMap),this.add_hooks(this.node.p.useThicknessMap,this.node.p.thicknessMap)}async update(){this._update(this.node.material,\\\\\\\"clearcoatMap\\\\\\\",this.node.p.useClearCoatMap,this.node.p.clearcoatMap),this._update(this.node.material,\\\\\\\"clearcoatNormalMap\\\\\\\",this.node.p.useClearCoatNormalMap,this.node.p.clearcoatNormalMap),this._update(this.node.material,\\\\\\\"clearcoatRoughnessMap\\\\\\\",this.node.p.useClearCoatRoughnessMap,this.node.p.clearcoatRoughnessMap),this._update(this.node.material,\\\\\\\"transmissionMap\\\\\\\",this.node.p.useTransmissionMap,this.node.p.transmissionMap),this._update(this.node.material,\\\\\\\"thicknessMap\\\\\\\",this.node.p.useThicknessMap,this.node.p.thicknessMap);const t=this.node.pv;Wz.ior=t.ior;const e=Wz.reflectivity;if(this._update_options.uniforms){const n=this.node.material;n.uniforms.clearcoat.value=t.clearcoat,n.uniforms.clearcoatNormalScale.value.copy(t.clearcoatNormalScale),n.uniforms.clearcoatRoughness.value=t.clearcoatRoughness,n.uniforms.reflectivity.value=e,n.uniforms.transmission.value=t.transmission,n.uniforms.thickness.value=t.thickness,n.uniforms.attenuationDistance.value=t.attenuationDistance,n.uniforms.attenuationTint.value=t.attenuationColor,t.useSheen?(this._sheenColorClone.copy(t.sheenColor),n.uniforms.sheen.value=t.sheen,n.uniforms.sheenRoughness.value=t.sheenRoughness,n.uniforms.sheenTint.value=this._sheenColorClone):n.uniforms.sheen.value=0,n.uniforms.ior.value=t.ior,n.specularTint=n.uniforms.specularTint.value,n.ior=n.uniforms.ior.value}if(this._update_options.directParams){const n=this.node.material;n.clearcoat=t.clearcoat,null!=n.clearcoatNormalScale&&n.clearcoatNormalScale.copy(t.clearcoatNormalScale),n.clearcoatRoughness=t.clearcoatRoughness,n.reflectivity=e,t.useSheen?(this._sheenColorClone.copy(t.sheenColor),n.sheen=t.sheen,n.sheenRoughness=t.sheenRoughness,n.sheenTint=this._sheenColorClone):n.sheen=0,n.transmission=t.transmission,n.thickness=t.thickness,n.attenuationDistance=t.attenuationDistance,n.attenuationTint=t.attenuationColor}}static async update(t){t.controllers.physical.update()}}const Xz={directParams:!0};class Yz extends(vB(UB(QD(dB(jz(Vz(fz(IB(Uz(QB(vz(uz(SB(MB(TB(VB(fB(uB(ua))))))))))))))))))){}const $z=new Yz;class Jz extends $D{constructor(){super(...arguments),this.paramsConfig=$z,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,Xz),aoMap:new CB(this,Xz),bumpMap:new dz(this,Xz),displacementMap:new yz(this,Xz),emissiveMap:new tz(this,Xz),envMap:new Gz(this,Xz),lightMap:new FB(this,Xz),map:new AB(this,Xz),metalnessRoughnessMap:new Hz(this,Xz),normalMap:new gz(this,Xz),physical:new qz(this,Xz)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshPhysical\\\\\\\"}createMaterial(){return new Wf.a({vertexColors:!1,side:w.H,color:16777215,opacity:1,metalness:1,roughness:0})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();gB.update(this),yB.update(this),GB.update(this),this.setMaterial(this.material)}}const Zz={uniforms:!0};class Kz extends(function(t){return class extends(rz(cB(XB(QD(aB(t)))))){}}(dB(jz(Vz(fz(IB(Uz(QB(vz(uz(SB(MB(TB(VB(sB(uB(ua))))))))))))))))){}const Qz=new Kz;class tk extends lB{constructor(){super(...arguments),this.paramsConfig=Qz,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,Zz),aoMap:new CB(this,Zz),bumpMap:new dz(this,Zz),displacementMap:new yz(this,Zz),emissiveMap:new tz(this,Zz),envMap:new Gz(this,{uniforms:!0,directParams:!0}),lightMap:new FB(this,Zz),map:new AB(this,Zz),metalnessRoughnessMap:new Hz(this,{uniforms:!0,directParams:!0}),normalMap:new gz(this,Zz),physical:new qz(this,{uniforms:!0,directParams:!0}),PCSS:new oz(this)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshPhysicalBuilder\\\\\\\"}usedAssembler(){return jn.GL_MESH_PHYSICAL}_create_assembler_controller(){return li.assemblersRegister.assembler(this,this.usedAssembler())}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}createMaterial(){const t=super.createMaterial();return t.isMeshStandardMaterial=!0,t.isMeshPhysicalMaterial=!0,t}async cook(){for(let t of this.controllerNames)this.controllers[t].update();rB.update(this),hB.update(this),YB.update(this),this.compileIfRequired(),this.setMaterial(this.material)}}const ek={directParams:!0};class nk extends(vB(UB(QD(dB(Vz(fz(IB(Uz(QB(vz(uz(SB(MB(TB(VB(fB(uB(ua)))))))))))))))))){}const ik=new nk;class sk extends $D{constructor(){super(...arguments),this.paramsConfig=ik,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,ek),aoMap:new CB(this,ek),bumpMap:new dz(this,ek),displacementMap:new yz(this,ek),emissiveMap:new tz(this,ek),envMap:new Gz(this,ek),lightMap:new FB(this,ek),map:new AB(this,ek),metalnessRoughnessMap:new Hz(this,ek),normalMap:new gz(this,ek)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshStandard\\\\\\\"}createMaterial(){return new ws.a({vertexColors:!1,side:w.H,color:16777215,opacity:1,metalness:1,roughness:0})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();gB.update(this),yB.update(this),GB.update(this),this.setMaterial(this.material)}}const rk={uniforms:!0};class ok extends(rz(cB(XB(QD(aB(dB(Vz(fz(IB(Uz(QB(vz(uz(SB(MB(TB(VB(sB(uB(ua)))))))))))))))))))){}const ak=new ok;class lk extends lB{constructor(){super(...arguments),this.paramsConfig=ak,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,rk),aoMap:new CB(this,rk),bumpMap:new dz(this,rk),displacementMap:new yz(this,rk),emissiveMap:new tz(this,rk),envMap:new Gz(this,rk),lightMap:new FB(this,rk),map:new AB(this,rk),metalnessRoughnessMap:new Hz(this,rk),normalMap:new gz(this,rk),PCSS:new oz(this)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshStandardBuilder\\\\\\\"}usedAssembler(){return jn.GL_MESH_STANDARD}_create_assembler_controller(){return li.assemblersRegister.assembler(this,this.usedAssembler())}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();rB.update(this),hB.update(this),YB.update(this),this.compileIfRequired(),this.setMaterial(this.material)}}const ck=U.meshphong_frag.slice(0,U.meshphong_frag.indexOf(\\\\\\\"void main() {\\\\\\\")),hk=U.meshphong_frag.slice(U.meshphong_frag.indexOf(\\\\\\\"void main() {\\\\\\\")),uk={uniforms:I.merge([H.phong.uniforms,{thicknessMap:{value:null},thicknessColor:{value:new D.a(16777215)},thicknessDistortion:{value:.1},thicknessAmbient:{value:0},thicknessAttenuation:{value:.1},thicknessPower:{value:2},thicknessScale:{value:10}}]),vertexShader:[\\\\\\\"#define USE_UV\\\\\\\",U.meshphong_vert].join(\\\\\\\"\\\\n\\\\\\\"),fragmentShader:[\\\\\\\"#define USE_UV\\\\\\\",\\\\\\\"#define SUBSURFACE\\\\\\\",ck,\\\\\\\"uniform sampler2D thicknessMap;\\\\\\\",\\\\\\\"uniform float thicknessPower;\\\\\\\",\\\\\\\"uniform float thicknessScale;\\\\\\\",\\\\\\\"uniform float thicknessDistortion;\\\\\\\",\\\\\\\"uniform float thicknessAmbient;\\\\\\\",\\\\\\\"uniform float thicknessAttenuation;\\\\\\\",\\\\\\\"uniform vec3 thicknessColor;\\\\\\\",\\\\\\\"void RE_Direct_Scattering(const in IncidentLight directLight, const in vec2 uv, const in GeometricContext geometry, inout ReflectedLight reflectedLight) {\\\\\\\",\\\\\\\"\\\\tvec3 thickness = thicknessColor * texture2D(thicknessMap, uv).r;\\\\\\\",\\\\\\\"\\\\tvec3 scatteringHalf = normalize(directLight.direction + (geometry.normal * thicknessDistortion));\\\\\\\",\\\\\\\"\\\\tfloat scatteringDot = pow(saturate(dot(geometry.viewDir, -scatteringHalf)), thicknessPower) * thicknessScale;\\\\\\\",\\\\\\\"\\\\tvec3 scatteringIllu = (scatteringDot + thicknessAmbient) * thickness;\\\\\\\",\\\\\\\"\\\\treflectedLight.directDiffuse += scatteringIllu * thicknessAttenuation * directLight.color;\\\\\\\",\\\\\\\"}\\\\\\\",hk.replace(\\\\\\\"#include \\\\\\\",(dk=U.lights_fragment_begin,pk=\\\\\\\"RE_Direct( directLight, geometry, material, reflectedLight );\\\\\\\",_k=[\\\\\\\"RE_Direct( directLight, geometry, material, reflectedLight );\\\\\\\",\\\\\\\"#if defined( SUBSURFACE ) && defined( USE_UV )\\\\\\\",\\\\\\\" RE_Direct_Scattering(directLight, vUv, geometry, reflectedLight);\\\\\\\",\\\\\\\"#endif\\\\\\\"].join(\\\\\\\"\\\\n\\\\\\\"),dk.split(pk).join(_k)))].join(\\\\\\\"\\\\n\\\\\\\")};var dk,pk,_k;function mk(t){return{cook:!1,callback:(e,n)=>{xk.PARAM_CALLBACK_update_uniformColor(e,n,t)}}}function fk(t){return{cook:!1,callback:(e,n)=>{xk.PARAM_CALLBACK_update_uniformN(e,n,t)}}}const gk={uniforms:!0};class vk extends(vB(XB(QD(dB(MB(TB(VB(function(t){return class extends t{constructor(){var t;super(...arguments),this.diffuse=ha.COLOR([1,1,1],{...mk(\\\\\\\"diffuse\\\\\\\")}),this.shininess=ha.FLOAT(1,{range:[0,1e3]}),this.thicknessMap=ha.NODE_PATH(vi.EMPTY,{nodeSelection:{context:ts.COP},...(t=\\\\\\\"thicknessMap\\\\\\\",{cook:!1,callback:(e,n)=>{xk.PARAM_CALLBACK_update_uniformTexture(e,n,t)}})}),this.thicknessColor=ha.COLOR([.5,.3,0],{...mk(\\\\\\\"thicknessColor\\\\\\\")}),this.thicknessDistortion=ha.FLOAT(.1,{...fk(\\\\\\\"thicknessDistortion\\\\\\\")}),this.thicknessAmbient=ha.FLOAT(.4,{...fk(\\\\\\\"thicknessAmbient\\\\\\\")}),this.thicknessAttenuation=ha.FLOAT(.8,{...fk(\\\\\\\"thicknessAttenuation\\\\\\\")}),this.thicknessPower=ha.FLOAT(2,{range:[0,10],...fk(\\\\\\\"thicknessPower\\\\\\\")}),this.thicknessScale=ha.FLOAT(16,{range:[0,100],...fk(\\\\\\\"thicknessScale\\\\\\\")})}}}(uB(ua)))))))))){}const yk=new vk;class xk extends $D{constructor(){super(...arguments),this.paramsConfig=yk,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,gk),map:new AB(this,gk)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshSubsurfaceScattering\\\\\\\"}createMaterial(){const t=I.clone(uk.uniforms),e=new F({uniforms:t,vertexShader:uk.vertexShader,fragmentShader:uk.fragmentShader,lights:!0});return e.extensions.derivatives=!0,e}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();yB.update(this),YB.update(this),this.update_map(this.p.thicknessMap,\\\\\\\"thicknessMap\\\\\\\"),this.material.uniforms.diffuse.value.copy(this.pv.diffuse),this.material.uniforms.shininess.value=this.pv.shininess,this.material.uniforms.thicknessColor.value.copy(this.pv.thicknessColor),this.material.uniforms.thicknessDistortion.value=this.pv.thicknessDistortion,this.material.uniforms.thicknessAmbient.value=this.pv.thicknessAmbient,this.material.uniforms.thicknessAttenuation.value=this.pv.thicknessAttenuation,this.material.uniforms.thicknessPower.value=this.pv.thicknessPower,this.material.uniforms.thicknessScale.value=this.pv.thicknessScale,this.setMaterial(this.material)}static PARAM_CALLBACK_update_uniformN(t,e,n){t.material.uniforms[n].value=e.value}static PARAM_CALLBACK_update_uniformColor(t,e,n){e.parent_param&&t.material.uniforms[n].value.copy(e.parent_param.value)}static PARAM_CALLBACK_update_uniformTexture(t,e,n){t.update_map(e,n)}async update_map(t,e){const n=t.value.nodeWithContext(ts.COP);n||(this.material.uniforms[e].value=null);const i=n,s=await i.compute();this.material.uniforms[e].value=s.texture()}}function bk(t){return class extends t{constructor(){super(...arguments),this.useGradientMap=ha.BOOLEAN(0,xB(wk)),this.gradientMap=ha.NODE_PATH(vi.EMPTY,bB(wk,\\\\\\\"useGradientMap\\\\\\\"))}}}O.a;bk(ua);class wk extends wB{constructor(t,e){super(t,e),this.node=t}initializeNode(){this.add_hooks(this.node.p.useGradientMap,this.node.p.gradientMap)}async update(){this._update(this.node.material,\\\\\\\"gradientMap\\\\\\\",this.node.p.useGradientMap,this.node.p.gradientMap)}static async update(t){t.controllers.gradientMap.update()}}const Tk={directParams:!0};class Ak extends(vB(UB(QD(dB(fz(IB(bk(QB(vz(uz(SB(MB(TB(VB(fB(uB(ua))))))))))))))))){}const Mk=new Ak;class Ek extends $D{constructor(){super(...arguments),this.paramsConfig=Mk,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,Tk),aoMap:new CB(this,Tk),bumpMap:new dz(this,Tk),displacementMap:new yz(this,Tk),emissiveMap:new tz(this,Tk),gradientMap:new wk(this,Tk),lightMap:new FB(this,Tk),map:new AB(this,Tk),normalMap:new gz(this,Tk)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"meshToon\\\\\\\"}createMaterial(){return new Xf({vertexColors:!1,side:w.H,color:16777215,opacity:1})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();gB.update(this),yB.update(this),GB.update(this),this.setMaterial(this.material)}}const Sk={directParams:!0};class Ck extends(cB(QD(dB(MB(TB(VB(fB(function(t){return class extends t{constructor(){super(...arguments),this.size=ha.FLOAT(1),this.sizeAttenuation=ha.BOOLEAN(1)}}}(uB(ua)))))))))){}const Nk=new Ck;class Lk extends $D{constructor(){super(...arguments),this.paramsConfig=Nk,this.controllers={advancedCommon:new tB(this),alphaMap:new EB(this,Sk),map:new AB(this,Sk)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"points\\\\\\\"}createMaterial(){return new bs.a({vertexColors:!1,side:w.H,color:16777215,opacity:1})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();gB.update(this),hB.update(this),this.material.size=this.pv.size,this.material.sizeAttenuation=this.pv.sizeAttenuation,this.setMaterial(this.material)}}class Ok extends(cB(QD(aB(dB(sB(uB(ua))))))){}const Pk=new Ok;class Rk extends lB{constructor(){super(...arguments),this.paramsConfig=Pk,this.controllers={advancedCommon:new tB(this)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"pointsBuilder\\\\\\\"}usedAssembler(){return jn.GL_POINTS}_create_assembler_controller(){return li.assemblersRegister.assembler(this,this.usedAssembler())}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();rB.update(this),hB.update(this),this.compileIfRequired(),this.setMaterial(this.material)}}class Ik extends(QD(fB(ua))){}const Fk=new Ik;class Dk extends $D{constructor(){super(...arguments),this.paramsConfig=Fk,this.controllers={advancedCommon:new tB(this)},this.controllerNames=Object.keys(this.controllers)}static type(){return\\\\\\\"shadow\\\\\\\"}createMaterial(){return new Hf({vertexColors:!1,side:w.H,color:16777215,opacity:1})}initializeNode(){this.params.onParamsCreated(\\\\\\\"init controllers\\\\\\\",(()=>{for(let t of this.controllerNames)this.controllers[t].initializeNode()}))}async cook(){for(let t of this.controllerNames)this.controllers[t].update();gB.update(this),this.setMaterial(this.material)}}class Bk extends B.a{constructor(){const t=Bk.SkyShader,e=new F({name:\\\\\\\"SkyShader\\\\\\\",fragmentShader:t.fragmentShader,vertexShader:t.vertexShader,uniforms:I.clone(t.uniforms),side:w.i,depthWrite:!1});super(new N(1,1,1),e)}}Bk.prototype.isSky=!0,Bk.SkyShader={uniforms:{turbidity:{value:2},rayleigh:{value:1},mieCoefficient:{value:.005},mieDirectionalG:{value:.8},sunPosition:{value:new p.a},up:{value:new p.a(0,1,0)}},vertexShader:\\\\\\\"\\\\n\\\\t\\\\tuniform vec3 sunPosition;\\\\n\\\\t\\\\tuniform float rayleigh;\\\\n\\\\t\\\\tuniform float turbidity;\\\\n\\\\t\\\\tuniform float mieCoefficient;\\\\n\\\\t\\\\tuniform vec3 up;\\\\n\\\\n\\\\t\\\\tvarying vec3 vWorldPosition;\\\\n\\\\t\\\\tvarying vec3 vSunDirection;\\\\n\\\\t\\\\tvarying float vSunfade;\\\\n\\\\t\\\\tvarying vec3 vBetaR;\\\\n\\\\t\\\\tvarying vec3 vBetaM;\\\\n\\\\t\\\\tvarying float vSunE;\\\\n\\\\n\\\\t\\\\t// constants for atmospheric scattering\\\\n\\\\t\\\\tconst float e = 2.71828182845904523536028747135266249775724709369995957;\\\\n\\\\t\\\\tconst float pi = 3.141592653589793238462643383279502884197169;\\\\n\\\\n\\\\t\\\\t// wavelength of used primaries, according to preetham\\\\n\\\\t\\\\tconst vec3 lambda = vec3( 680E-9, 550E-9, 450E-9 );\\\\n\\\\t\\\\t// this pre-calcuation replaces older TotalRayleigh(vec3 lambda) function:\\\\n\\\\t\\\\t// (8.0 * pow(pi, 3.0) * pow(pow(n, 2.0) - 1.0, 2.0) * (6.0 + 3.0 * pn)) / (3.0 * N * pow(lambda, vec3(4.0)) * (6.0 - 7.0 * pn))\\\\n\\\\t\\\\tconst vec3 totalRayleigh = vec3( 5.804542996261093E-6, 1.3562911419845635E-5, 3.0265902468824876E-5 );\\\\n\\\\n\\\\t\\\\t// mie stuff\\\\n\\\\t\\\\t// K coefficient for the primaries\\\\n\\\\t\\\\tconst float v = 4.0;\\\\n\\\\t\\\\tconst vec3 K = vec3( 0.686, 0.678, 0.666 );\\\\n\\\\t\\\\t// MieConst = pi * pow( ( 2.0 * pi ) / lambda, vec3( v - 2.0 ) ) * K\\\\n\\\\t\\\\tconst vec3 MieConst = vec3( 1.8399918514433978E14, 2.7798023919660528E14, 4.0790479543861094E14 );\\\\n\\\\n\\\\t\\\\t// earth shadow hack\\\\n\\\\t\\\\t// cutoffAngle = pi / 1.95;\\\\n\\\\t\\\\tconst float cutoffAngle = 1.6110731556870734;\\\\n\\\\t\\\\tconst float steepness = 1.5;\\\\n\\\\t\\\\tconst float EE = 1000.0;\\\\n\\\\n\\\\t\\\\tfloat sunIntensity( float zenithAngleCos ) {\\\\n\\\\t\\\\t\\\\tzenithAngleCos = clamp( zenithAngleCos, -1.0, 1.0 );\\\\n\\\\t\\\\t\\\\treturn EE * max( 0.0, 1.0 - pow( e, -( ( cutoffAngle - acos( zenithAngleCos ) ) / steepness ) ) );\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvec3 totalMie( float T ) {\\\\n\\\\t\\\\t\\\\tfloat c = ( 0.2 * T ) * 10E-18;\\\\n\\\\t\\\\t\\\\treturn 0.434 * c * MieConst;\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 worldPosition = modelMatrix * vec4( position, 1.0 );\\\\n\\\\t\\\\t\\\\tvWorldPosition = worldPosition.xyz;\\\\n\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\t\\\\t\\\\tgl_Position.z = gl_Position.w; // set z to camera.far\\\\n\\\\n\\\\t\\\\t\\\\tvSunDirection = normalize( sunPosition );\\\\n\\\\n\\\\t\\\\t\\\\tvSunE = sunIntensity( dot( vSunDirection, up ) );\\\\n\\\\n\\\\t\\\\t\\\\tvSunfade = 1.0 - clamp( 1.0 - exp( ( sunPosition.y / 450000.0 ) ), 0.0, 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\tfloat rayleighCoefficient = rayleigh - ( 1.0 * ( 1.0 - vSunfade ) );\\\\n\\\\n\\\\t\\\\t\\\\t// extinction (absorbtion + out scattering)\\\\n\\\\t\\\\t\\\\t// rayleigh coefficients\\\\n\\\\t\\\\t\\\\tvBetaR = totalRayleigh * rayleighCoefficient;\\\\n\\\\n\\\\t\\\\t\\\\t// mie coefficients\\\\n\\\\t\\\\t\\\\tvBetaM = totalMie( turbidity ) * mieCoefficient;\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\t\\\\tvarying vec3 vWorldPosition;\\\\n\\\\t\\\\tvarying vec3 vSunDirection;\\\\n\\\\t\\\\tvarying float vSunfade;\\\\n\\\\t\\\\tvarying vec3 vBetaR;\\\\n\\\\t\\\\tvarying vec3 vBetaM;\\\\n\\\\t\\\\tvarying float vSunE;\\\\n\\\\n\\\\t\\\\tuniform float mieDirectionalG;\\\\n\\\\t\\\\tuniform vec3 up;\\\\n\\\\n\\\\t\\\\tconst vec3 cameraPos = vec3( 0.0, 0.0, 0.0 );\\\\n\\\\n\\\\t\\\\t// constants for atmospheric scattering\\\\n\\\\t\\\\tconst float pi = 3.141592653589793238462643383279502884197169;\\\\n\\\\n\\\\t\\\\tconst float n = 1.0003; // refractive index of air\\\\n\\\\t\\\\tconst float N = 2.545E25; // number of molecules per unit volume for air at 288.15K and 1013mb (sea level -45 celsius)\\\\n\\\\n\\\\t\\\\t// optical length at zenith for molecules\\\\n\\\\t\\\\tconst float rayleighZenithLength = 8.4E3;\\\\n\\\\t\\\\tconst float mieZenithLength = 1.25E3;\\\\n\\\\t\\\\t// 66 arc seconds -> degrees, and the cosine of that\\\\n\\\\t\\\\tconst float sunAngularDiameterCos = 0.999956676946448443553574619906976478926848692873900859324;\\\\n\\\\n\\\\t\\\\t// 3.0 / ( 16.0 * pi )\\\\n\\\\t\\\\tconst float THREE_OVER_SIXTEENPI = 0.05968310365946075;\\\\n\\\\t\\\\t// 1.0 / ( 4.0 * pi )\\\\n\\\\t\\\\tconst float ONE_OVER_FOURPI = 0.07957747154594767;\\\\n\\\\n\\\\t\\\\tfloat rayleighPhase( float cosTheta ) {\\\\n\\\\t\\\\t\\\\treturn THREE_OVER_SIXTEENPI * ( 1.0 + pow( cosTheta, 2.0 ) );\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tfloat hgPhase( float cosTheta, float g ) {\\\\n\\\\t\\\\t\\\\tfloat g2 = pow( g, 2.0 );\\\\n\\\\t\\\\t\\\\tfloat inverse = 1.0 / pow( 1.0 - 2.0 * g * cosTheta + g2, 1.5 );\\\\n\\\\t\\\\t\\\\treturn ONE_OVER_FOURPI * ( ( 1.0 - g2 ) * inverse );\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec3 direction = normalize( vWorldPosition - cameraPos );\\\\n\\\\n\\\\t\\\\t\\\\t// optical length\\\\n\\\\t\\\\t\\\\t// cutoff angle at 90 to avoid singularity in next formula.\\\\n\\\\t\\\\t\\\\tfloat zenithAngle = acos( max( 0.0, dot( up, direction ) ) );\\\\n\\\\t\\\\t\\\\tfloat inverse = 1.0 / ( cos( zenithAngle ) + 0.15 * pow( 93.885 - ( ( zenithAngle * 180.0 ) / pi ), -1.253 ) );\\\\n\\\\t\\\\t\\\\tfloat sR = rayleighZenithLength * inverse;\\\\n\\\\t\\\\t\\\\tfloat sM = mieZenithLength * inverse;\\\\n\\\\n\\\\t\\\\t\\\\t// combined extinction factor\\\\n\\\\t\\\\t\\\\tvec3 Fex = exp( -( vBetaR * sR + vBetaM * sM ) );\\\\n\\\\n\\\\t\\\\t\\\\t// in scattering\\\\n\\\\t\\\\t\\\\tfloat cosTheta = dot( direction, vSunDirection );\\\\n\\\\n\\\\t\\\\t\\\\tfloat rPhase = rayleighPhase( cosTheta * 0.5 + 0.5 );\\\\n\\\\t\\\\t\\\\tvec3 betaRTheta = vBetaR * rPhase;\\\\n\\\\n\\\\t\\\\t\\\\tfloat mPhase = hgPhase( cosTheta, mieDirectionalG );\\\\n\\\\t\\\\t\\\\tvec3 betaMTheta = vBetaM * mPhase;\\\\n\\\\n\\\\t\\\\t\\\\tvec3 Lin = pow( vSunE * ( ( betaRTheta + betaMTheta ) / ( vBetaR + vBetaM ) ) * ( 1.0 - Fex ), vec3( 1.5 ) );\\\\n\\\\t\\\\t\\\\tLin *= mix( vec3( 1.0 ), pow( vSunE * ( ( betaRTheta + betaMTheta ) / ( vBetaR + vBetaM ) ) * Fex, vec3( 1.0 / 2.0 ) ), clamp( pow( 1.0 - dot( up, vSunDirection ), 5.0 ), 0.0, 1.0 ) );\\\\n\\\\n\\\\t\\\\t\\\\t// nightsky\\\\n\\\\t\\\\t\\\\tfloat theta = acos( direction.y ); // elevation --\\\\x3e y-axis, [-pi/2, pi/2]\\\\n\\\\t\\\\t\\\\tfloat phi = atan( direction.z, direction.x ); // azimuth --\\\\x3e x-axis [-pi/2, pi/2]\\\\n\\\\t\\\\t\\\\tvec2 uv = vec2( phi, theta ) / vec2( 2.0 * pi, pi ) + vec2( 0.5, 0.0 );\\\\n\\\\t\\\\t\\\\tvec3 L0 = vec3( 0.1 ) * Fex;\\\\n\\\\n\\\\t\\\\t\\\\t// composition + solar disc\\\\n\\\\t\\\\t\\\\tfloat sundisk = smoothstep( sunAngularDiameterCos, sunAngularDiameterCos + 0.00002, cosTheta );\\\\n\\\\t\\\\t\\\\tL0 += ( vSunE * 19000.0 * Fex ) * sundisk;\\\\n\\\\n\\\\t\\\\t\\\\tvec3 texColor = ( Lin + L0 ) * 0.04 + vec3( 0.0, 0.0003, 0.00075 );\\\\n\\\\n\\\\t\\\\t\\\\tvec3 retColor = pow( texColor, vec3( 1.0 / ( 1.2 + ( 1.2 * vSunfade ) ) ) );\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4( retColor, 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\t#include \\\\n\\\\t\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const zk=new class extends ua{constructor(){super(...arguments),this.turbidity=ha.FLOAT(2,{range:[0,20]}),this.rayleigh=ha.FLOAT(1,{range:[0,4]}),this.mieCoefficient=ha.FLOAT(.005),this.mieDirectional=ha.FLOAT(.8),this.inclination=ha.FLOAT(.5),this.azimuth=ha.FLOAT(.25),this.up=ha.VECTOR3([0,1,0])}};class kk extends $D{constructor(){super(...arguments),this.paramsConfig=zk}static type(){return\\\\\\\"sky\\\\\\\"}createMaterial(){const t=(new Bk).material;return t.depthWrite=!0,t}async cook(){const t=this.material.uniforms;t.turbidity.value=this.pv.turbidity,t.rayleigh.value=this.pv.rayleigh,t.mieCoefficient.value=this.pv.mieCoefficient,t.mieDirectionalG.value=this.pv.mieDirectional,t.up.value.copy(this.pv.up);const e=Math.PI*(this.pv.inclination-.5),n=2*Math.PI*(this.pv.azimuth-.5);t.sunPosition.value.x=Math.cos(n),t.sunPosition.value.y=Math.sin(n)*Math.sin(e),t.sunPosition.value.z=Math.sin(n)*Math.cos(e),this.setMaterial(this.material)}}var Uk=\\\\\\\"precision highp float;\\\\nprecision highp int;\\\\n\\\\nvarying vec3 vPw;\\\\n\\\\n#include \\\\n\\\\nvoid main()\\\\t{\\\\n\\\\n\\\\t// start builder body code\\\\n\\\\n\\\\tvPw = position;\\\\n\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n}\\\\\\\",Gk=\\\\\\\"precision highp float;\\\\nprecision highp int;\\\\n\\\\n#include \\\\n\\\\n#define DIR_LIGHTS_COUNT 1\\\\n#define MAX_STEPS_COUNT 4096\\\\n\\\\nuniform vec3 u_Color;\\\\nuniform float u_VolumeDensity;\\\\nuniform float u_ShadowDensity;\\\\nuniform float u_StepSize;\\\\nuniform vec3 u_BoundingBoxMin;\\\\nuniform vec3 u_BoundingBoxMax;\\\\n//const int u_PointsCount = 3;\\\\n//uniform vec3 u_Points[3];\\\\nuniform sampler2D u_Map;\\\\n\\\\n//const int u_DirectionalLightsCount = 1;\\\\nuniform vec3 u_DirectionalLightDirection; //[DIR_LIGHTS_COUNT];\\\\n\\\\nvarying vec3 vPw;\\\\n// varying vec3 vN;\\\\n// varying vec2 vUV;\\\\n//varying vec3 vPCameraSpace;\\\\n// varying vec4 vCd;\\\\n\\\\nvec3 normalize_in_bbox(vec3 point){\\\\n\\\\n\\\\tvec3 min = u_BoundingBoxMin;\\\\n\\\\tvec3 max = u_BoundingBoxMax;\\\\n\\\\n\\\\treturn vec3(\\\\n\\\\t\\\\t(point.x - min.x) / (max.x - min.x),\\\\n\\\\t\\\\t(point.y - min.y) / (max.y - min.y),\\\\n\\\\t\\\\t(point.z - min.z) / (max.z - min.z)\\\\n\\\\t);\\\\n}\\\\n\\\\nbool is_inside_bbox(vec3 Pw){\\\\n\\\\n\\\\tvec3 min = u_BoundingBoxMin;\\\\n\\\\tvec3 max = u_BoundingBoxMax;\\\\n\\\\n\\\\treturn (\\\\n\\\\t\\\\tPw.x > min.x &&\\\\n\\\\t\\\\tPw.y > min.y &&\\\\n\\\\t\\\\tPw.z > min.z &&\\\\n\\\\n\\\\t\\\\tPw.x < max.x &&\\\\n\\\\t\\\\tPw.y < max.y &&\\\\n\\\\t\\\\tPw.z < max.z\\\\n\\\\t\\\\t);\\\\n}\\\\n\\\\nfloat density_to_opacity(float density, float step_size){\\\\n\\\\tfloat curent_density = density;\\\\n\\\\tcurent_density = max(0.0, curent_density);\\\\n\\\\n\\\\tfloat opacity = (1.0-exp(-curent_density * step_size));\\\\n\\\\treturn max(opacity,0.0);\\\\n}\\\\n\\\\nfloat density_function(vec3 position_for_step){\\\\n\\\\tfloat density = 1.0;\\\\n\\\\t// start builder body code\\\\n\\\\n\\\\treturn density;\\\\n}\\\\n\\\\nvec4 raymarch_light(vec3 ray_dir, vec3 start_pos){\\\\n\\\\n\\\\tfloat step_size = u_StepSize;\\\\n\\\\tvec3 step_vector = ray_dir * step_size;\\\\n\\\\n\\\\tvec3 current_pos = start_pos + step_vector*rand(start_pos.x*ray_dir.xy);\\\\n\\\\tfloat opacity = 0.0;\\\\n\\\\tfor(int i=0; i= 0.99){ break; }\\\\n\\\\n\\\\t\\\\tif( is_inside_bbox(current_pos) ){\\\\n\\\\n\\\\t\\\\t\\\\tfloat density = density_function(current_pos) * u_ShadowDensity;\\\\n\\\\t\\\\t\\\\topacity += density_to_opacity(density, step_size);\\\\n\\\\t\\\\t\\\\tcurrent_pos += step_vector;\\\\n\\\\n\\\\t\\\\t}else{\\\\n\\\\t\\\\t\\\\tbreak;\\\\n\\\\t\\\\t}\\\\n\\\\t}\\\\n\\\\n\\\\tvec3 light_color = vec3(1.0, 1.0, 1.0) * u_Color;\\\\n\\\\tlight_color *= (1.0-opacity);\\\\n\\\\treturn vec4(light_color, 1.0-opacity);\\\\n}\\\\n\\\\nvec4 raymarch_bbox(vec3 start_pos, vec3 ray_dir){\\\\n\\\\n\\\\tfloat step_size = u_StepSize;\\\\n\\\\tvec3 step_vector = ray_dir * step_size;\\\\n\\\\n\\\\tvec3 current_pos = start_pos - step_vector*rand(ray_dir.xz);\\\\n\\\\tfloat opacity = 0.0;\\\\n\\\\tvec3 color = vec3(0.0, 0.0, 0.0);\\\\n\\\\tfloat steps_count = 0.0;\\\\n\\\\tbool was_inside_bbox = false;\\\\n\\\\tfor(int i=0; i= 0.99){ break; }\\\\n\\\\n\\\\t\\\\tif( i==0 || is_inside_bbox(current_pos) ){\\\\n\\\\t\\\\t\\\\twas_inside_bbox = true;\\\\n\\\\n\\\\t\\\\t\\\\tfloat density = density_function(current_pos) * u_VolumeDensity;\\\\n\\\\t\\\\t\\\\topacity += density_to_opacity(density, step_size);\\\\n\\\\n\\\\t\\\\t\\\\tvec4 light_color = vec4(0.0,0.0,0.0,1.0); //vec4(1.0,1.0,1.0,1.0);\\\\n\\\\t\\\\t\\\\t// vec3 directional_light_direction;\\\\n\\\\t\\\\t\\\\t// for ( int l = 0; l < DIR_LIGHTS_COUNT; l++ ) {\\\\n\\\\t\\\\t\\\\t// directional_light_direction = u_DirectionalLightsDirection[ l ];\\\\n\\\\t\\\\t\\\\tlight_color += raymarch_light(-u_DirectionalLightDirection, current_pos);\\\\n\\\\t\\\\t\\\\t// }\\\\n\\\\t\\\\t\\\\tfloat blend = 1.0-opacity;\\\\n\\\\t\\\\t\\\\tcolor = mix( color.xyz, light_color.xyz, vec3(blend, blend, blend) );\\\\n\\\\t\\\\t\\\\tsteps_count += 1.0;\\\\n\\\\n\\\\t\\\\t}else{\\\\n\\\\t\\\\t\\\\tif (was_inside_bbox) { break; }\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\tcurrent_pos += step_vector;\\\\n\\\\t}\\\\n\\\\n\\\\treturn vec4(color, opacity);\\\\n\\\\t// steps_count = steps_count / 5.0;\\\\n\\\\t// return vec4(vec3(steps_count, steps_count, steps_count), 1.0);\\\\n}\\\\n\\\\nvoid main()\\\\t{\\\\n\\\\n\\\\tvec3 eye = normalize(vPw - cameraPosition);\\\\n\\\\t// we can start from the bbox, as we are front facing\\\\n\\\\tvec3 start_pos = vPw;\\\\n\\\\n\\\\tvec4 color = raymarch_bbox(start_pos, eye);\\\\n\\\\tgl_FragColor = color;\\\\n\\\\n}\\\\\\\";const Vk={u_Color:{value:new D.a(1,1,1)},u_VolumeDensity:{value:5},u_ShadowDensity:{value:2},u_StepSize:{value:.01},u_BoundingBoxMin:{value:new p.a(-1,-1,-1)},u_BoundingBoxMax:{value:new p.a(1,1,1)},u_DirectionalLightDirection:{value:new p.a(-1,-1,-1)}};function Hk(t){return class extends t{constructor(){super(...arguments),this.color=ha.COLOR([1,1,1]),this.stepSize=ha.FLOAT(.01),this.density=ha.FLOAT(1),this.shadowDensity=ha.FLOAT(1),this.lightDir=ha.VECTOR3([-1,-1,-1])}}}Hk(ua);class jk{constructor(t){this.node=t}static render_hook(t,e,n,i,s,r,o){if(o){this._object_bbox.setFromObject(o);const t=s;t.uniforms.u_BoundingBoxMin.value.copy(this._object_bbox.min),t.uniforms.u_BoundingBoxMax.value.copy(this._object_bbox.max)}}update_uniforms_from_params(){const t=this.node.material.uniforms;t.u_Color.value.copy(this.node.pv.color),t.u_StepSize.value=this.node.pv.stepSize,t.u_VolumeDensity.value=this.node.pv.density,t.u_ShadowDensity.value=this.node.pv.shadowDensity;const e=t.u_DirectionalLightDirection.value,n=this.node.pv.lightDir;e&&(e.x=n.x,e.y=n.y,e.z=n.z)}}jk._object_bbox=new Ry.a;class Wk extends(Hk(ua)){}const qk=new Wk;class Xk extends $D{constructor(){super(...arguments),this.paramsConfig=qk,this._volume_controller=new jk(this)}static type(){return\\\\\\\"volume\\\\\\\"}createMaterial(){const t=new F({vertexShader:Uk,fragmentShader:Gk,side:w.H,transparent:!0,depthTest:!0,uniforms:I.clone(Vk)});return yr.add_user_data_render_hook(t,jk.render_hook.bind(jk)),t}initializeNode(){}async cook(){this._volume_controller.update_uniforms_from_params(),this.setMaterial(this.material)}}class Yk extends(aB(Hk(ua))){}const $k=new Yk;class Jk extends lB{constructor(){super(...arguments),this.paramsConfig=$k,this._volume_controller=new jk(this)}static type(){return\\\\\\\"volumeBuilder\\\\\\\"}usedAssembler(){return jn.GL_VOLUME}_create_assembler_controller(){return li.assemblersRegister.assembler(this,this.usedAssembler())}initializeNode(){}async cook(){this._volume_controller.update_uniforms_from_params(),this.compileIfRequired(),this.setMaterial(this.material)}}class Zk extends aa{static context(){return ts.MAT}cook(){this.cookController.endCook()}}class Kk extends Zk{}class Qk extends Kk{constructor(){super(...arguments),this._children_controller_context=ts.ANIM}static type(){return es.ANIM}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class tU extends Kk{constructor(){super(...arguments),this._children_controller_context=ts.COP}static type(){return es.COP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class eU extends Kk{constructor(){super(...arguments),this._children_controller_context=ts.EVENT}static type(){return es.EVENT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class nU extends Kk{constructor(){super(...arguments),this._children_controller_context=ts.MAT}static type(){return es.MAT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class iU extends Zk{constructor(){super(...arguments),this.paramsConfig=new ef,this.effectsComposerController=new nf(this),this.displayNodeController=new Fm(this,this.effectsComposerController.displayNodeControllerCallbacks()),this._children_controller_context=ts.POST}static type(){return es.POST}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class sU extends Kk{constructor(){super(...arguments),this._children_controller_context=ts.ROP}static type(){return es.ROP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}var rU=n(87);const oU=\\\\\\\"parent object\\\\\\\",aU=[oU,oU,oU,oU];var lU;!function(t){t[t.MANAGER=0]=\\\\\\\"MANAGER\\\\\\\",t[t.CAMERA=2]=\\\\\\\"CAMERA\\\\\\\",t[t.LIGHT=3]=\\\\\\\"LIGHT\\\\\\\"}(lU||(lU={}));class cU extends aa{constructor(){super(...arguments),this.renderOrder=lU.MANAGER,this._children_group=this._create_children_group(),this._attachableToHierarchy=!0,this._used_in_scene=!0}static context(){return ts.OBJ}static displayedInputNames(){return aU}_create_children_group(){const t=new Fn.a;return t.matrixAutoUpdate=!1,t}attachableToHierarchy(){return this._attachableToHierarchy}usedInScene(){return this._used_in_scene}addObjectToParent(t){this.attachableToHierarchy()&&t.add(this.object)}removeObjectFromParent(){if(this.attachableToHierarchy()){const t=this.object.parent;t&&t.remove(this.object)}}initializeBaseNode(){this._object=this._create_object_with_attributes(),this.nameController.add_post_set_fullPath_hook(this.set_object_name.bind(this)),this.set_object_name()}get children_group(){return this._children_group}get object(){return this._object}_create_object_with_attributes(){const t=this.createObject();return t.node=this,t.add(this._children_group),t}set_object_name(){this._object&&(this._object.name=this.path(),this._children_group.name=`${this.path()}:parented_outputs`)}createObject(){const t=new Q.a;return t.matrixAutoUpdate=!1,t}isDisplayNodeCooking(){if(this.displayNodeController){const t=this.displayNodeController.displayNode();if(t)return t.cookController.isCooking()}return!1}isDisplayed(){var t,e;return(null===(e=null===(t=this.flags)||void 0===t?void 0:t.display)||void 0===e?void 0:e.active())||!1}}class hU extends cU{constructor(){super(...arguments),this.flags=new Di(this),this.renderOrder=lU.LIGHT,this._color_with_intensity=new D.a(0),this._used_in_scene=!0,this._cook_main_without_inputs_when_dirty_bound=this._cook_main_without_inputs_when_dirty.bind(this)}get light(){return this._light}initializeBaseNode(){super.initializeBaseNode(),this._light=this.createLight(),this.object.add(this._light),this.flags.display.onUpdate((()=>{this._updateLightAttachment()})),this.dirtyController.addPostDirtyHook(\\\\\\\"_cook_main_without_inputs_when_dirty\\\\\\\",this._cook_main_without_inputs_when_dirty_bound)}async _cook_main_without_inputs_when_dirty(){await this.cookController.cookMainWithoutInputs()}set_object_name(){super.set_object_name(),this._light&&(this._light.name=`${this.path()}:light`)}_updateLightAttachment(){this.flags.display.active()?(this.object.add(this.light),this._cook_main_without_inputs_when_dirty()):this.object.remove(this.light)}cook(){this.updateLightParams(),this.updateShadowParams(),this.cookController.endCook()}updateLightParams(){}updateShadowParams(){}}const uU=new class extends ua{constructor(){super(...arguments),this.color=ha.COLOR([1,1,1],{conversion:lo.SRGB_TO_LINEAR}),this.intensity=ha.FLOAT(1)}};class dU extends hU{constructor(){super(...arguments),this.paramsConfig=uU}static type(){return\\\\\\\"ambientLight\\\\\\\"}createLight(){const t=new rU.a;return t.matrixAutoUpdate=!1,t}initializeNode(){this.io.inputs.setCount(0,1)}updateLightParams(){this.light.color=this.pv.color,this.light.intensity=this.pv.intensity}}class pU extends cv.a{constructor(t,e,n=10,i=10){super(t,e),this.type=\\\\\\\"RectAreaLight\\\\\\\",this.width=n,this.height=i}get power(){return this.intensity*this.width*this.height*Math.PI}set power(t){this.intensity=t/(this.width*this.height*Math.PI)}copy(t){return super.copy(t),this.width=t.width,this.height=t.height,this}toJSON(t){const e=super.toJSON(t);return e.object.width=this.width,e.object.height=this.height,e}}pU.prototype.isRectAreaLight=!0;var _U,mU=n(61);class fU{static init(){const 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Float32Array(t),i=new Float32Array(e);V.LTC_FLOAT_1=new vo.a(n,64,64,w.Ib,w.G,w.Yc,w.n,w.n,w.V,w.ob,1),V.LTC_FLOAT_2=new vo.a(i,64,64,w.Ib,w.G,w.Yc,w.n,w.n,w.V,w.ob,1);const s=new Uint16Array(t.length);t.forEach((function(t,e){s[e]=mU.a.toHalfFloat(t)}));const r=new Uint16Array(e.length);e.forEach((function(t,e){r[e]=mU.a.toHalfFloat(t)})),V.LTC_HALF_1=new vo.a(s,64,64,w.Ib,w.M,w.Yc,w.n,w.n,w.V,w.ob,1),V.LTC_HALF_2=new vo.a(r,64,64,w.Ib,w.M,w.Yc,w.n,w.n,w.V,w.ob,1)}}!function(t){t.OBJECTS=\\\\\\\"objects\\\\\\\",t.GEOMETRIES=\\\\\\\"geometries\\\\\\\"}(_U||(_U={}));const gU=[_U.GEOMETRIES,_U.OBJECTS];var vU;!function(t){t.XYZ=\\\\\\\"XYZ\\\\\\\",t.XZY=\\\\\\\"XZY\\\\\\\",t.YXZ=\\\\\\\"YXZ\\\\\\\",t.YZX=\\\\\\\"YZX\\\\\\\",t.ZYX=\\\\\\\"ZYX\\\\\\\",t.ZXY=\\\\\\\"ZXY\\\\\\\"}(vU||(vU={}));const yU=[vU.XYZ,vU.XZY,vU.YXZ,vU.YZX,vU.ZXY,vU.ZYX],xU=vU.XYZ;class bU{constructor(){this._translation_matrix=new A.a,this._translation_matrix_q=new hh.a,this._translation_matrix_s=new 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setParamsFromObject(t,e){t.position.toArray(this.set_params_from_object_position_array),t.rotation.toArray(this.set_params_from_object_rotation_array),this.set_params_from_object_rotation_deg.fromArray(this.set_params_from_object_rotation_array),this.set_params_from_object_rotation_deg.multiplyScalar(180/Math.PI),this.set_params_from_object_rotation_deg.toArray(this.set_params_from_object_rotation_array),e.scene().batchUpdates((()=>{e.params.set_vector3(\\\\\\\"t\\\\\\\",this.set_params_from_object_position_array),e.params.set_vector3(\\\\\\\"r\\\\\\\",this.set_params_from_object_rotation_array)}))}translationMatrix(t){return this._translation_matrix.compose(t,this._translation_matrix_q,this._translation_matrix_s),this._translation_matrix}matrix(t,e,n,i,s){return this._matrix_euler.set(Object(On.e)(e.x),Object(On.e)(e.y),Object(On.e)(e.z),s),this._matrix_q.setFromEuler(this._matrix_euler),this._matrix_s.copy(n).multiplyScalar(i),this._matrix.compose(t,this._matrix_q,this._matrix_s),this._matrix}rotateGeometry(t,e,n){this._rotate_geometry_vec_dest.copy(n),this._rotate_geometry_vec_dest.normalize(),this._rotate_geometry_q.setFromUnitVectors(e,this._rotate_geometry_vec_dest),this._rotate_geometry_m.makeRotationFromQuaternion(this._rotate_geometry_q),t.applyMatrix4(this._rotate_geometry_m)}static decomposeMatrix(t){t.matrix.decompose(t.position,t.quaternion,t.scale)}}function wU(t,e){const n=(null==e?void 0:e.matrixAutoUpdate)||!1;return class extends t{constructor(){super(...arguments),this.transform=ha.FOLDER(),this.keepPosWhenParenting=ha.BOOLEAN(0),this.rotationOrder=ha.INTEGER(yU.indexOf(vU.XYZ),{menu:{entries:yU.map(((t,e)=>({name:t,value:e})))}}),this.t=ha.VECTOR3([0,0,0]),this.r=ha.VECTOR3([0,0,0]),this.s=ha.VECTOR3([1,1,1]),this.scale=ha.FLOAT(1),this.matrixAutoUpdate=ha.BOOLEAN(n?1:0),this.updateTransformFromObject=ha.BUTTON(null,{callback:t=>{AU.PARAM_CALLBACK_update_transform_from_object(t)}})}}}bU.set_params_from_matrix_position=new p.a,bU.set_params_from_matrix_quaternion=new hh.a,bU.set_params_from_matrix_scale=new p.a,bU.set_params_from_matrix_euler=new ny.a,bU.set_params_from_matrix_rotation=new p.a,bU.set_params_from_matrix_t=[0,0,0],bU.set_params_from_matrix_r=[0,0,0],bU.set_params_from_matrix_s=[0,0,0],bU.set_params_from_object_position_array=[0,0,0],bU.set_params_from_object_rotation_deg=new p.a,bU.set_params_from_object_rotation_array=[0,0,0];wU(ua);const TU=\\\\\\\"_cook_main_without_inputs_when_dirty\\\\\\\";class AU{constructor(t){this.node=t,this._cook_main_without_inputs_when_dirty_bound=this._cook_main_without_inputs_when_dirty.bind(this),this._core_transform=new bU,this._keep_pos_when_parenting_m_object=new A.a,this._keep_pos_when_parenting_m_new_parent_inv=new A.a}initializeNode(){this.node.dirtyController.hasHook(TU)||this.node.dirtyController.addPostDirtyHook(TU,this._cook_main_without_inputs_when_dirty_bound)}async _cook_main_without_inputs_when_dirty(){await this.node.cookController.cookMainWithoutInputs()}update(){this.update_transform_with_matrix();this.node.object.matrixAutoUpdate=this.node.pv.matrixAutoUpdate}update_transform_with_matrix(t){const e=this.node.object;null==t||t.equals(e.matrix)?this._update_matrix_from_params_with_core_transform():(e.matrix.copy(t),e.dispatchEvent({type:\\\\\\\"change\\\\\\\"}))}_update_matrix_from_params_with_core_transform(){const t=this.node.object;let e=t.matrixAutoUpdate;e&&(t.matrixAutoUpdate=!1);const n=this._core_transform.matrix(this.node.pv.t,this.node.pv.r,this.node.pv.s,this.node.pv.scale,yU[this.node.pv.rotationOrder]);t.matrix.identity(),t.applyMatrix4(n),this._apply_look_at(),t.updateMatrix(),e&&(t.matrixAutoUpdate=!0),t.dispatchEvent({type:\\\\\\\"change\\\\\\\"})}_apply_look_at(){}set_params_from_matrix(t,e={}){bU.setParamsFromMatrix(t,this.node,e)}static update_node_transform_params_if_required(t,e){t.transformController.update_node_transform_params_if_required(e)}update_node_transform_params_if_required(t){if(!this.node.pv.keepPosWhenParenting)return;if(!this.node.scene().loadingController.loaded())return;if(t==this.node.object.parent)return;const e=this.node.object;e.updateMatrixWorld(!0),t.updateMatrixWorld(!0),this._keep_pos_when_parenting_m_object.copy(e.matrixWorld),this._keep_pos_when_parenting_m_new_parent_inv.copy(t.matrixWorld),this._keep_pos_when_parenting_m_new_parent_inv.invert(),this._keep_pos_when_parenting_m_object.premultiply(this._keep_pos_when_parenting_m_new_parent_inv),bU.setParamsFromMatrix(this._keep_pos_when_parenting_m_object,this.node,{scale:!0})}update_node_transform_params_from_object(t=!1){const e=this.node.object;t&&e.updateMatrix(),bU.setParamsFromMatrix(e.matrix,this.node,{scale:!0})}static PARAM_CALLBACK_update_transform_from_object(t){t.transformController.update_node_transform_params_from_object()}}class MU{constructor(t){this.node=t}initializeNode(){this.node.io.inputs.setCount(0,1),this.node.io.inputs.set_depends_on_inputs(!1),this.node.io.outputs.setHasOneOutput(),this.node.io.inputs.add_on_set_input_hook(\\\\\\\"on_input_updated:update_parent\\\\\\\",(()=>{this.on_input_updated()}))}static on_input_updated(t){const e=t.root().getParentForNode(t);t.transformController&&e&&AU.update_node_transform_params_if_required(t,e),null!=t.io.inputs.input(0)?t.root().addToParentTransform(t):t.root().removeFromParentTransform(t)}on_input_updated(){MU.on_input_updated(this.node)}}wU(ua);class EU extends hU{constructor(){super(...arguments),this.flags=new Di(this),this.hierarchyController=new MU(this),this.transformController=new AU(this)}initializeBaseNode(){super.initializeBaseNode(),this.hierarchyController.initializeNode(),this.transformController.initializeNode()}cook(){this.transformController.update(),this.updateLightParams(),this.updateShadowParams(),this.cookController.endCook()}}class SU{constructor(t,e,n){this.node=t,this._helperConstructor=e,this._name=n}initializeNode(){this.node.flags.display.onUpdate((()=>{this.update()}))}visible(){return this.node.flags.display.active()&&this.node.pv.showHelper}_createHelper(){const t=new this._helperConstructor(this.node,this._name);return t.build(),t}update(){this.visible()?(this._helper||(this._helper=this._createHelper()),this._helper&&(this.node.light.add(this._helper.object),this._helper.update())):this._helper&&this.node.light.remove(this._helper.object)}}var CU=n(41);class NU extends CU.a{constructor(t,e){const n=new S.a;n.setAttribute(\\\\\\\"position\\\\\\\",new C.c([1,1,0,-1,1,0,-1,-1,0,1,-1,0,1,1,0],3)),n.computeBoundingSphere();super(n,new As.a({fog:!1})),this.light=t,this.color=e,this.type=\\\\\\\"RectAreaLightHelper\\\\\\\";const i=new S.a;i.setAttribute(\\\\\\\"position\\\\\\\",new C.c([1,1,0,-1,1,0,-1,-1,0,1,1,0,-1,-1,0,1,-1,0],3)),i.computeBoundingSphere(),this.add(new B.a(i,new lt.a({side:w.i,fog:!1})))}updateMatrixWorld(){if(this.scale.set(.5*this.light.width,.5*this.light.height,1),void 0!==this.color)this.material.color.set(this.color),this.children[0].material.color.set(this.color);else{this.material.color.copy(this.light.color).multiplyScalar(this.light.intensity);const t=this.material.color,e=Math.max(t.r,t.g,t.b);e>1&&t.multiplyScalar(1/e),this.children[0].material.color.copy(this.material.color)}this.matrixWorld.extractRotation(this.light.matrixWorld).scale(this.scale).copyPosition(this.light.matrixWorld),this.children[0].matrixWorld.copy(this.matrixWorld)}dispose(){this.geometry.dispose(),this.material.dispose(),this.children[0].geometry.dispose(),this.children[0].material.dispose()}}class LU{constructor(t,e){this.node=t,this._name=e,this._object=this.createObject(),this._material=new lt.a({wireframe:!0,fog:!1})}build(){this._object.matrixAutoUpdate=!1,this._object.name=this._name,this.buildHelper()}get object(){return this._object}}class OU extends LU{createObject(){return new NU(this.node.light)}buildHelper(){}update(){this._object.updateMatrixWorld()}}class PU extends(function(t){return class extends t{constructor(){super(...arguments),this.light=ha.FOLDER(),this.color=ha.COLOR([1,1,1],{conversion:lo.SRGB_TO_LINEAR}),this.intensity=ha.FLOAT(1,{range:[0,10]}),this.width=ha.FLOAT(1,{range:[0,10]}),this.height=ha.FLOAT(1,{range:[0,10]}),this.showHelper=ha.BOOLEAN(0)}}}(wU(ua))){}const RU=new PU;class IU extends EU{constructor(){super(...arguments),this.paramsConfig=RU,this._helperController=new SU(this,OU,\\\\\\\"RectAreaLightObjNodeHelper\\\\\\\")}static type(){return\\\\\\\"areaLight\\\\\\\"}initializeNode(){this._helperController.initializeNode()}createLight(){const t=new pU(16777215,1,1,1);return t.matrixAutoUpdate=!1,fU.initialized||(fU.init(),fU.initialized=!0),t}updateLightParams(){this.light.color=this.pv.color,this.light.intensity=this.pv.intensity,this.light.width=this.pv.width,this.light.height=this.pv.height,this._helperController.update()}}var FU=n(72);const DU=new p.a,BU=new of.a;class zU extends Ms.a{constructor(t){const e=new S.a,n=new As.a({color:16777215,vertexColors:!0,toneMapped:!1}),i=[],s=[],r={},o=new D.a(16755200),a=new D.a(16711680),l=new D.a(43775),c=new D.a(16777215),h=new D.a(3355443);function u(t,e,n){d(t,n),d(e,n)}function d(t,e){i.push(0,0,0),s.push(e.r,e.g,e.b),void 0===r[t]&&(r[t]=[]),r[t].push(i.length/3-1)}u(\\\\\\\"n1\\\\\\\",\\\\\\\"n2\\\\\\\",o),u(\\\\\\\"n2\\\\\\\",\\\\\\\"n4\\\\\\\",o),u(\\\\\\\"n4\\\\\\\",\\\\\\\"n3\\\\\\\",o),u(\\\\\\\"n3\\\\\\\",\\\\\\\"n1\\\\\\\",o),u(\\\\\\\"f1\\\\\\\",\\\\\\\"f2\\\\\\\",o),u(\\\\\\\"f2\\\\\\\",\\\\\\\"f4\\\\\\\",o),u(\\\\\\\"f4\\\\\\\",\\\\\\\"f3\\\\\\\",o),u(\\\\\\\"f3\\\\\\\",\\\\\\\"f1\\\\\\\",o),u(\\\\\\\"n1\\\\\\\",\\\\\\\"f1\\\\\\\",o),u(\\\\\\\"n2\\\\\\\",\\\\\\\"f2\\\\\\\",o),u(\\\\\\\"n3\\\\\\\",\\\\\\\"f3\\\\\\\",o),u(\\\\\\\"n4\\\\\\\",\\\\\\\"f4\\\\\\\",o),u(\\\\\\\"p\\\\\\\",\\\\\\\"n1\\\\\\\",a),u(\\\\\\\"p\\\\\\\",\\\\\\\"n2\\\\\\\",a),u(\\\\\\\"p\\\\\\\",\\\\\\\"n3\\\\\\\",a),u(\\\\\\\"p\\\\\\\",\\\\\\\"n4\\\\\\\",a),u(\\\\\\\"u1\\\\\\\",\\\\\\\"u2\\\\\\\",l),u(\\\\\\\"u2\\\\\\\",\\\\\\\"u3\\\\\\\",l),u(\\\\\\\"u3\\\\\\\",\\\\\\\"u1\\\\\\\",l),u(\\\\\\\"c\\\\\\\",\\\\\\\"t\\\\\\\",c),u(\\\\\\\"p\\\\\\\",\\\\\\\"c\\\\\\\",h),u(\\\\\\\"cn1\\\\\\\",\\\\\\\"cn2\\\\\\\",h),u(\\\\\\\"cn3\\\\\\\",\\\\\\\"cn4\\\\\\\",h),u(\\\\\\\"cf1\\\\\\\",\\\\\\\"cf2\\\\\\\",h),u(\\\\\\\"cf3\\\\\\\",\\\\\\\"cf4\\\\\\\",h),e.setAttribute(\\\\\\\"position\\\\\\\",new C.c(i,3)),e.setAttribute(\\\\\\\"color\\\\\\\",new C.c(s,3)),super(e,n),this.type=\\\\\\\"CameraHelper\\\\\\\",this.camera=t,this.camera.updateProjectionMatrix&&this.camera.updateProjectionMatrix(),this.matrixAutoUpdate=!1,this.pointMap=r,this.update()}update(){const t=this.geometry,e=this.pointMap;BU.projectionMatrixInverse.copy(this.camera.projectionMatrixInverse),kU(\\\\\\\"c\\\\\\\",e,t,BU,0,0,-1),kU(\\\\\\\"t\\\\\\\",e,t,BU,0,0,1),kU(\\\\\\\"n1\\\\\\\",e,t,BU,-1,-1,-1),kU(\\\\\\\"n2\\\\\\\",e,t,BU,1,-1,-1),kU(\\\\\\\"n3\\\\\\\",e,t,BU,-1,1,-1),kU(\\\\\\\"n4\\\\\\\",e,t,BU,1,1,-1),kU(\\\\\\\"f1\\\\\\\",e,t,BU,-1,-1,1),kU(\\\\\\\"f2\\\\\\\",e,t,BU,1,-1,1),kU(\\\\\\\"f3\\\\\\\",e,t,BU,-1,1,1),kU(\\\\\\\"f4\\\\\\\",e,t,BU,1,1,1),kU(\\\\\\\"u1\\\\\\\",e,t,BU,.7,1.1,-1),kU(\\\\\\\"u2\\\\\\\",e,t,BU,-.7,1.1,-1),kU(\\\\\\\"u3\\\\\\\",e,t,BU,0,2,-1),kU(\\\\\\\"cf1\\\\\\\",e,t,BU,-1,0,1),kU(\\\\\\\"cf2\\\\\\\",e,t,BU,1,0,1),kU(\\\\\\\"cf3\\\\\\\",e,t,BU,0,-1,1),kU(\\\\\\\"cf4\\\\\\\",e,t,BU,0,1,1),kU(\\\\\\\"cn1\\\\\\\",e,t,BU,-1,0,-1),kU(\\\\\\\"cn2\\\\\\\",e,t,BU,1,0,-1),kU(\\\\\\\"cn3\\\\\\\",e,t,BU,0,-1,-1),kU(\\\\\\\"cn4\\\\\\\",e,t,BU,0,1,-1),t.getAttribute(\\\\\\\"position\\\\\\\").needsUpdate=!0}}function kU(t,e,n,i,s,r,o){DU.set(s,r,o).unproject(i);const a=e[t];if(void 0!==a){const t=n.getAttribute(\\\\\\\"position\\\\\\\");for(let e=0,n=a.length;e.9&&o<.1&&(e<.2&&(r[t+0]+=1),n<.2&&(r[t+2]+=1),i<.2&&(r[t+4]+=1))}}()}(),this.setAttribute(\\\\\\\"position\\\\\\\",new C.c(s,3)),this.setAttribute(\\\\\\\"normal\\\\\\\",new C.c(s.slice(),3)),this.setAttribute(\\\\\\\"uv\\\\\\\",new C.c(r,2)),0===i?this.computeVertexNormals():this.normalizeNormals()}static fromJSON(t){return new XU(t.vertices,t.indices,t.radius,t.details)}}class YU extends XU{constructor(t=1,e=0){super([1,0,0,-1,0,0,0,1,0,0,-1,0,0,0,1,0,0,-1],[0,2,4,0,4,3,0,3,5,0,5,2,1,2,5,1,5,3,1,3,4,1,4,2],t,e),this.type=\\\\\\\"OctahedronGeometry\\\\\\\",this.parameters={radius:t,detail:e}}static fromJSON(t){return new YU(t.radius,t.detail)}}class $U extends LU{constructor(){super(...arguments),this._geometry=new YU(1),this._quat=new hh.a,this._default_position=new p.a(0,1,0),this._color1=new D.a,this._color2=new D.a}createObject(){return new B.a}buildHelper(){this._geometry.rotateZ(.5*Math.PI),this._material.vertexColors=!0;const t=this._geometry.getAttribute(\\\\\\\"position\\\\\\\"),e=new Float32Array(3*t.count);this._geometry.setAttribute(\\\\\\\"color\\\\\\\",new C.a(e,3)),this._object.geometry=this._geometry,this._object.material=this._material,this._object.matrixAutoUpdate=!1}update(){if(!this.node.pv.position)return;this._object.position.copy(this.node.pv.position).multiplyScalar(-1),this._quat.setFromUnitVectors(this._default_position,this.node.pv.position),this._object.setRotationFromQuaternion(this._quat),this._object.scale.setScalar(this.node.pv.helperSize),this._object.updateMatrix();const t=this._geometry.getAttribute(\\\\\\\"color\\\\\\\");this._color1.copy(this.node.light.color),this._color2.copy(this.node.light.groundColor);for(let e=0,n=t.count;e0)&&d.push(e,s,l),(t!==n-1||a0&&y(!0),e>0&&y(!1)),this.setIndex(c),this.setAttribute(\\\\\\\"position\\\\\\\",new C.c(h,3)),this.setAttribute(\\\\\\\"normal\\\\\\\",new C.c(u,3)),this.setAttribute(\\\\\\\"uv\\\\\\\",new C.c(_,2))}static fromJSON(t){return new aG(t.radiusTop,t.radiusBottom,t.height,t.radialSegments,t.heightSegments,t.openEnded,t.thetaStart,t.thetaLength)}}class lG extends aG{constructor(t=1,e=1,n=8,i=1,s=!1,r=0,o=2*Math.PI){super(0,t,e,n,i,s,r,o),this.type=\\\\\\\"ConeGeometry\\\\\\\",this.parameters={radius:t,height:e,radialSegments:n,heightSegments:i,openEnded:s,thetaStart:r,thetaLength:o}}static fromJSON(t){return new lG(t.radius,t.height,t.radialSegments,t.heightSegments,t.openEnded,t.thetaStart,t.thetaLength)}}class cG{constructor(t){this.node=t}update(){const t=this.node.pv;if(t.tvolumetric){const e=this.object(),n=this.node.light;oG.updateConeObject(e,{sizeMult:t.helperSize,distance:n.distance,angle:n.angle});const i=e.material.uniforms;i.lightColor.value.copy(n.color),i.attenuation.value=t.volAttenuation,i.anglePower.value=t.volAnglePower,this.node.light.add(e)}else this._mesh&&this.node.light.remove(this._mesh)}object(){return this._mesh=this._mesh||this._createMesh()}_createMesh(){const t=new lG(1,1,256,1);t.applyMatrix4((new A.a).makeTranslation(0,-.5,0)),t.applyMatrix4((new A.a).makeRotationX(-Math.PI/2));const e=this._createMaterial(),n=new B.a(t,e);return n.matrixAutoUpdate=!1,n.name=\\\\\\\"Volumetric\\\\\\\",e.uniforms.lightColor.value.set(\\\\\\\"white\\\\\\\"),n}_createMaterial(){return new F({uniforms:{attenuation:{value:5},anglePower:{value:1.2},lightColor:{value:new D.a(\\\\\\\"cyan\\\\\\\")}},vertexShader:\\\\\\\"varying vec3 vNormal;\\\\nvarying vec3 vWorldPosition;\\\\nvarying vec3 vWorldOrigin;\\\\n\\\\nvoid main(){\\\\n\\\\t// compute intensity\\\\n\\\\tvNormal\\\\t\\\\t= normalize( normalMatrix * normal );\\\\n\\\\n\\\\tvec4 worldPosition\\\\t= modelMatrix * vec4( position, 1.0 );\\\\n\\\\tvWorldPosition\\\\t\\\\t= worldPosition.xyz;\\\\n\\\\n\\\\tvec4 worldOrigin\\\\t= modelMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );\\\\n\\\\tvWorldOrigin\\\\t\\\\t= worldOrigin.xyz;\\\\n\\\\n\\\\t// set gl_Position\\\\n\\\\tgl_Position\\\\t= projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n}\\\\\\\",fragmentShader:\\\\\\\"varying vec3 vNormal;\\\\nvarying vec3 vWorldPosition;\\\\nvarying vec3 vWorldOrigin;\\\\n\\\\nuniform vec3 lightColor;\\\\n\\\\n// uniform vec3 spotPosition;\\\\n\\\\nuniform float attenuation;\\\\nuniform float anglePower;\\\\n\\\\nvoid main(){\\\\n\\\\n\\\\t//////////////////////////////////////////////////////////\\\\n\\\\t// distance attenuation //\\\\n\\\\t//////////////////////////////////////////////////////////\\\\n\\\\tfloat intensity = distance(vWorldPosition, vWorldOrigin) / attenuation;\\\\n\\\\tintensity = 1.0 - clamp(intensity, 0.0, 1.0);\\\\n\\\\n\\\\t//////////////////////////////////////////////////////////\\\\n\\\\t// intensity on angle //\\\\n\\\\t//////////////////////////////////////////////////////////\\\\n\\\\tvec3 normal = vec3(vNormal.x, vNormal.y, abs(vNormal.z));\\\\n\\\\tfloat angleIntensity = pow( dot(normal, vec3(0.0, 0.0, 1.0)), anglePower );\\\\n\\\\tintensity = intensity * angleIntensity;\\\\n\\\\t// 'gl_FragColor = vec4( lightColor, intensity );\\\\n\\\\n\\\\t//////////////////////////////////////////////////////////\\\\n\\\\t// final color //\\\\n\\\\t//////////////////////////////////////////////////////////\\\\n\\\\n\\\\t// set the final color\\\\n\\\\tgl_FragColor = vec4( lightColor, intensity);\\\\n}\\\\\\\",transparent:!0,depthWrite:!1})}}class hG extends(wU(ua)){constructor(){super(...arguments),this.light=ha.FOLDER(),this.color=ha.COLOR([1,1,1],{conversion:lo.SRGB_TO_LINEAR}),this.intensity=ha.FLOAT(1),this.angle=ha.FLOAT(45,{range:[0,180]}),this.penumbra=ha.FLOAT(.1),this.decay=ha.FLOAT(.1,{range:[0,1]}),this.distance=ha.FLOAT(100,{range:[0,100]}),this.showHelper=ha.BOOLEAN(0),this.helperSize=ha.FLOAT(1,{visibleIf:{showHelper:1}}),this.shadow=ha.FOLDER(),this.castShadow=ha.BOOLEAN(1),this.shadowAutoUpdate=ha.BOOLEAN(1,{visibleIf:{castShadow:1}}),this.shadowUpdateOnNextRender=ha.BOOLEAN(0,{visibleIf:{castShadow:1,shadowAutoUpdate:0}}),this.shadowRes=ha.VECTOR2([256,256],{visibleIf:{castShadow:1}}),this.shadowBias=ha.FLOAT(.001,{visibleIf:{castShadow:1},range:[-.01,.01],rangeLocked:[!1,!1]}),this.shadowNear=ha.FLOAT(.1,{visibleIf:{castShadow:1},range:[0,100],rangeLocked:[!0,!1]}),this.shadowFar=ha.FLOAT(100,{visibleIf:{castShadow:1},range:[0,100],rangeLocked:[!0,!1]}),this.shadowRadius=ha.FLOAT(0,{visibleIf:{castShadow:1},range:[0,10],rangeLocked:[!0,!1]}),this.volumetric=ha.FOLDER(),this.tvolumetric=ha.BOOLEAN(0),this.volAttenuation=ha.FLOAT(5,{range:[0,10],rangeLocked:[!0,!1]}),this.volAnglePower=ha.FLOAT(10,{range:[0,20],rangeLocked:[!0,!1]})}}const uG=new hG;class dG extends EU{constructor(){super(...arguments),this.paramsConfig=uG,this._helperController=new SU(this,oG,\\\\\\\"SpotLightHelper\\\\\\\"),this._volumetricController=new cG(this)}static type(){return GU.SPOT}initializeNode(){this._helperController.initializeNode()}createLight(){const t=new rG.a;return t.matrixAutoUpdate=!1,t.castShadow=!0,t.shadow.bias=-.001,t.shadow.mapSize.x=256,t.shadow.mapSize.y=256,t.shadow.camera.near=.1,this._target_target=t.target,this._target_target.name=\\\\\\\"SpotLight Default Target\\\\\\\",this._target_target.matrixAutoUpdate=!1,this.object.add(this._target_target),t}updateLightParams(){this.light.color=this.pv.color,this.light.intensity=this.pv.intensity,this.light.angle=this.pv.angle*(Math.PI/180),this.light.penumbra=this.pv.penumbra,this.light.decay=this.pv.decay,this.light.distance=this.pv.distance,this._helperController.update(),this._volumetricController.update()}updateShadowParams(){this.light.castShadow=this.pv.castShadow,this.light.shadow.autoUpdate=this.pv.shadowAutoUpdate,this.light.shadow.needsUpdate=this.pv.shadowUpdateOnNextRender,this.light.shadow.mapSize.copy(this.pv.shadowRes),this.light.shadow.camera.near=this.pv.shadowNear,this.light.shadow.camera.far=this.pv.shadowFar,this.light.shadow.bias=this.pv.shadowBias,this.light.shadow.radius=this.pv.shadowRadius}}let pG;const _G=function(){return void 0===pG&&(pG=new(window.AudioContext||window.webkitAudioContext)),pG},mG=new p.a,fG=new hh.a,gG=new p.a,vG=new p.a;class yG extends Q.a{constructor(){super(),this.type=\\\\\\\"AudioListener\\\\\\\",this.context=_G(),this.gain=this.context.createGain(),this.gain.connect(this.context.destination),this.filter=null,this.timeDelta=0,this._clock=new Dm}getInput(){return this.gain}removeFilter(){return null!==this.filter&&(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination),this.gain.connect(this.context.destination),this.filter=null),this}getFilter(){return this.filter}setFilter(t){return null!==this.filter?(this.gain.disconnect(this.filter),this.filter.disconnect(this.context.destination)):this.gain.disconnect(this.context.destination),this.filter=t,this.gain.connect(this.filter),this.filter.connect(this.context.destination),this}getMasterVolume(){return this.gain.gain.value}setMasterVolume(t){return this.gain.gain.setTargetAtTime(t,this.context.currentTime,.01),this}updateMatrixWorld(t){super.updateMatrixWorld(t);const e=this.context.listener,n=this.up;if(this.timeDelta=this._clock.getDelta(),this.matrixWorld.decompose(mG,fG,gG),vG.set(0,0,-1).applyQuaternion(fG),e.positionX){const t=this.context.currentTime+this.timeDelta;e.positionX.linearRampToValueAtTime(mG.x,t),e.positionY.linearRampToValueAtTime(mG.y,t),e.positionZ.linearRampToValueAtTime(mG.z,t),e.forwardX.linearRampToValueAtTime(vG.x,t),e.forwardY.linearRampToValueAtTime(vG.y,t),e.forwardZ.linearRampToValueAtTime(vG.z,t),e.upX.linearRampToValueAtTime(n.x,t),e.upY.linearRampToValueAtTime(n.y,t),e.upZ.linearRampToValueAtTime(n.z,t)}else e.setPosition(mG.x,mG.y,mG.z),e.setOrientation(vG.x,vG.y,vG.z,n.x,n.y,n.z)}}class xG extends(wU(ua)){constructor(){super(...arguments),this.audio=ha.FOLDER(),this.soundOn=ha.BOOLEAN(1),this.masterVolume=ha.FLOAT(1,{range:[0,1],rangeLocked:[!0,!1]})}}const bG=new xG;class wG extends cU{constructor(){super(...arguments),this.paramsConfig=bG,this.hierarchyController=new MU(this),this.transformController=new AU(this),this.flags=new Di(this)}static type(){return Ig.AUDIO_LISTENER}createObject(){const t=new yG;return t.matrixAutoUpdate=!1,t}initializeNode(){this.hierarchyController.initializeNode(),this.transformController.initializeNode(),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.soundOn],(()=>this.pv.soundOn?\\\\\\\"on\\\\\\\":\\\\\\\"off\\\\\\\"))}))}))}cook(){this.transformController.update(),this._updatePositionalAudio(),this.cookController.endCook()}_updatePositionalAudio(){const t=this.pv.soundOn?this.pv.masterVolume:0;this.object.setMasterVolume(t)}}class TG extends Ms.a{constructor(t=1){const e=[0,0,0,t,0,0,0,0,0,0,t,0,0,0,0,0,0,t],n=new S.a;n.setAttribute(\\\\\\\"position\\\\\\\",new C.c(e,3)),n.setAttribute(\\\\\\\"color\\\\\\\",new C.c([1,0,0,1,.6,0,0,1,0,.6,1,0,0,0,1,0,.6,1],3));super(n,new As.a({vertexColors:!0,toneMapped:!1})),this.type=\\\\\\\"AxesHelper\\\\\\\"}setColors(t,e,n){const i=new D.a,s=this.geometry.attributes.color.array;return i.set(t),i.toArray(s,0),i.toArray(s,3),i.set(e),i.toArray(s,6),i.toArray(s,9),i.set(n),i.toArray(s,12),i.toArray(s,15),this.geometry.attributes.color.needsUpdate=!0,this}dispose(){this.geometry.dispose(),this.material.dispose()}}var AG;!function(t){t.TOGETHER=\\\\\\\"translate + rotate together\\\\\\\",t.SEPARATELY=\\\\\\\"translate + rotate separately\\\\\\\"}(AG||(AG={}));const MG=[AG.TOGETHER,AG.SEPARATELY];const EG=new class extends ua{constructor(){super(...arguments),this.object0=ha.OPERATOR_PATH(\\\\\\\"/geo1\\\\\\\",{nodeSelection:{context:ts.OBJ}}),this.object1=ha.OPERATOR_PATH(\\\\\\\"/geo2\\\\\\\",{nodeSelection:{context:ts.OBJ}}),this.mode=ha.INTEGER(MG.indexOf(AG.TOGETHER),{menu:{entries:MG.map(((t,e)=>({name:t,value:e})))}}),this.blend=ha.FLOAT(0,{visibleIf:{mode:MG.indexOf(AG.TOGETHER)},range:[0,1],rangeLocked:[!1,!1]}),this.blendT=ha.FLOAT(0,{visibleIf:{mode:MG.indexOf(AG.SEPARATELY)},range:[0,1],rangeLocked:[!1,!1]}),this.blendR=ha.FLOAT(0,{visibleIf:{mode:MG.indexOf(AG.SEPARATELY)},range:[0,1],rangeLocked:[!1,!1]})}};class SG extends cU{constructor(){super(...arguments),this.paramsConfig=EG,this.hierarchyController=new MU(this),this.flags=new Di(this),this._helper=new TG(1),this._t0=new p.a,this._q0=new hh.a,this._s0=new p.a,this._t1=new p.a,this._q1=new hh.a,this._s1=new p.a}static type(){return\\\\\\\"blend\\\\\\\"}createObject(){const t=new Fn.a;return t.matrixAutoUpdate=!1,t}initializeNode(){this.hierarchyController.initializeNode(),this.io.inputs.setCount(0),this.addPostDirtyHook(\\\\\\\"blend_on_dirty\\\\\\\",(()=>{this.cookController.cookMainWithoutInputs()})),this._updateHelperHierarchy(),this.flags.display.onUpdate((()=>{this._updateHelperHierarchy()}))}_updateHelperHierarchy(){this.flags.display.active()?this.object.add(this._helper):this.object.remove(this._helper)}cook(){const t=this.p.object0.found_node_with_context(ts.OBJ),e=this.p.object1.found_node_with_context(ts.OBJ);t&&e&&this._blend(t.object,e.object),this.cookController.endCook()}_blend(t,e){const n=MG[this.pv.mode];switch(n){case AG.TOGETHER:return this._blend_together(t,e);case AG.SEPARATELY:return this._blend_separately(t,e)}os.unreachable(n)}_blend_together(t,e){this._decompose_matrices(t,e),this._object.position.copy(this._t0).lerp(this._t1,this.pv.blend),this._object.quaternion.copy(this._q0).slerp(this._q1,this.pv.blend),this._object.matrixAutoUpdate||this._object.updateMatrix()}_blend_separately(t,e){this._decompose_matrices(t,e),this._object.position.copy(this._t0).lerp(this._t1,this.pv.blendT),this._object.quaternion.copy(this._q0).slerp(this._q1,this.pv.blendR),this._object.matrixAutoUpdate||this._object.updateMatrix()}_decompose_matrices(t,e){t.matrixWorld.decompose(this._t0,this._q0,this._s0),e.matrixWorld.decompose(this._t1,this._q1,this._s1)}}var CG={uniforms:{tDiffuse:{value:null},h:{value:1/512}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\t\\\\tuniform float h;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 sum = vec4( 0.0 );\\\\n\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x - 4.0 * h, vUv.y ) ) * 0.051;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x - 3.0 * h, vUv.y ) ) * 0.0918;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x - 2.0 * h, vUv.y ) ) * 0.12245;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x - 1.0 * h, vUv.y ) ) * 0.1531;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y ) ) * 0.1633;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x + 1.0 * h, vUv.y ) ) * 0.1531;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x + 2.0 * h, vUv.y ) ) * 0.12245;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x + 3.0 * h, vUv.y ) ) * 0.0918;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x + 4.0 * h, vUv.y ) ) * 0.051;\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = sum;\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const NG={uniforms:{tDiffuse:{value:null},v:{value:1/512}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\t\\\\tuniform float v;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 sum = vec4( 0.0 );\\\\n\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y - 4.0 * v ) ) * 0.051;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y - 3.0 * v ) ) * 0.0918;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y - 2.0 * v ) ) * 0.12245;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y - 1.0 * v ) ) * 0.1531;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y ) ) * 0.1633;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y + 1.0 * v ) ) * 0.1531;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y + 2.0 * v ) ) * 0.12245;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y + 3.0 * v ) ) * 0.0918;\\\\n\\\\t\\\\t\\\\tsum += texture2D( tDiffuse, vec2( vUv.x, vUv.y + 4.0 * v ) ) * 0.051;\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = sum;\\\\n\\\\n\\\\t\\\\t}\\\\\\\"},LG=1/256e3;class OG{constructor(t){this._renderTargetBlur=this._createRenderTarget(t),this._camera=this._createCamera(),this._blurPlane=this._createBlurPlane(),this._horizontalBlurMaterial=new F(CG),this._horizontalBlurMaterial.depthTest=!1,this._verticalBlurMaterial=new F(NG),this._verticalBlurMaterial.depthTest=!1}setSize(t,e){this._renderTargetBlur.setSize(t,e)}_createRenderTarget(t){const e=new K(t.x,t.y);return e.texture.generateMipmaps=!1,e}_createCamera(){const t=new ot.a(-.5,.5,.5,-.5,0,1);return t.position.z=.5,t}_createBlurPlane(){const t=new L(1,1);return new B.a(t)}applyBlur(t,e,n,i){const s=Math.max(this._renderTargetBlur.width,this._renderTargetBlur.height);this._horizontalBlurMaterial.uniforms.tDiffuse.value=t.texture,this._horizontalBlurMaterial.uniforms.h.value=n*s*LG,this._blurPlane.material=this._horizontalBlurMaterial,e.setRenderTarget(this._renderTargetBlur),e.render(this._blurPlane,this._camera),this._verticalBlurMaterial.uniforms.tDiffuse.value=this._renderTargetBlur.texture,this._verticalBlurMaterial.uniforms.v.value=i*s*LG,this._blurPlane.material=this._verticalBlurMaterial,e.setRenderTarget(t),e.render(this._blurPlane,this._camera)}}var PG;!function(t){t.ON_RENDER=\\\\\\\"On Every Render\\\\\\\",t.MANUAL=\\\\\\\"Manual\\\\\\\"}(PG||(PG={}));const RG=[PG.ON_RENDER,PG.MANUAL];class IG extends(wU(ua)){constructor(){super(...arguments),this.shadow=ha.FOLDER(),this.dist=ha.FLOAT(1,{range:[0,10],rangeLocked:[!0,!1]}),this.planeSize=ha.VECTOR2([1,1]),this.shadowRes=ha.VECTOR2([256,256]),this.blur=ha.FLOAT(1,{range:[0,10],rangeLocked:[!0,!1]}),this.tblur2=ha.BOOLEAN(1),this.blur2=ha.FLOAT(1,{range:[0,10],rangeLocked:[!0,!1],visibleIf:{tblur2:1}}),this.darkness=ha.FLOAT(1),this.opacity=ha.FLOAT(1),this.showHelper=ha.BOOLEAN(0),this.updateMode=ha.INTEGER(RG.indexOf(PG.ON_RENDER),{callback:t=>{BG.PARAM_CALLBACK_update_updateMode(t)},menu:{entries:RG.map(((t,e)=>({name:t,value:e})))}}),this.update=ha.BUTTON(null,{callback:t=>{BG.PARAM_CALLBACK_updateManual(t)},visibleIf:{updateMode:RG.indexOf(PG.MANUAL)}}),this.scene=ha.FOLDER(),this.include=ha.STRING(\\\\\\\"\\\\\\\"),this.exclude=ha.STRING(\\\\\\\"\\\\\\\"),this.updateObjectsList=ha.BUTTON(null,{callback:t=>{BG.PARAM_CALLBACK_updateObjectsList(t)}}),this.printResolveObjectsList=ha.BUTTON(null,{callback:t=>{BG.PARAM_CALLBACK_printResolveObjectsList(t)}})}}const FG=new IG,DG=new d.a(256,256);class BG extends cU{constructor(){super(...arguments),this.paramsConfig=FG,this.hierarchyController=new MU(this),this.flags=new Di(this),this._renderTarget=this._createRenderTarget(DG),this._coreRenderBlur=this._createCoreRenderBlur(DG),this._includedObjects=[],this._includedAncestors=[],this._excludedObjects=[],this.transformController=new AU(this),this._darknessUniform={value:1},this._emptyOnBeforeRender=()=>{},this._emptyRenderHook=()=>{},this._on_object_before_render_bound=this._update.bind(this),this._initialVisibilityState=new WeakMap}static type(){return\\\\\\\"contactShadow\\\\\\\"}_createRenderTarget(t){const e=new K(t.x,t.y);return e.texture.generateMipmaps=!1,e}_createCoreRenderBlur(t){return new OG(t)}createObject(){const t=new Fn.a;this._shadowGroup=new Fn.a,t.add(this._shadowGroup),this._shadowGroup.name=\\\\\\\"shadowGroup\\\\\\\";const e=new L(1,1).rotateX(-Math.PI/2),n=e.getAttribute(\\\\\\\"uv\\\\\\\").array;for(let t of[1,3,5,7])n[t]=1-n[t];return this._planeMaterial=new lt.a({map:this._renderTarget.texture,opacity:1,transparent:!0,depthWrite:!1}),this._plane=new B.a(e,this._planeMaterial),this._plane.renderOrder=1,this._plane.matrixAutoUpdate=!1,this._shadowGroup.add(this._plane),this._createDepthCamera(this._shadowGroup),this._createMaterials(),t}initializeNode(){this.hierarchyController.initializeNode(),this.transformController.initializeNode(),this._updateShadowGroupVisibility(),this._updateHelperVisibility(),this.flags.display.onUpdate((()=>{this._updateShadowGroupVisibility(),this._updateHelperVisibility()}))}async cook(){this.transformController.update(),this._updateRenderHook(),this._updateHelperVisibility(),this._updateObjectsList(),this._planeMaterial&&(this._planeMaterial.opacity=this.pv.opacity),this._darknessUniform.value=this.pv.darkness,this._plane&&this._shadowCamera&&this._helper&&(this._plane.scale.x=this.pv.planeSize.x,this._plane.scale.z=this.pv.planeSize.y,this._plane.updateMatrix(),this._shadowCamera.left=-this.pv.planeSize.x/2,this._shadowCamera.right=this.pv.planeSize.x/2,this._shadowCamera.bottom=-this.pv.planeSize.y/2,this._shadowCamera.top=this.pv.planeSize.y/2,this._shadowCamera.far=this.pv.dist,this._shadowCamera.updateProjectionMatrix(),this._helper.update()),this._renderTarget.width==this.pv.shadowRes.x&&this._renderTarget.height==this.pv.shadowRes.y||this._planeMaterial&&(this._renderTarget=this._createRenderTarget(this.pv.shadowRes),this._coreRenderBlur=this._createCoreRenderBlur(this.pv.shadowRes),this._planeMaterial.map=this._renderTarget.texture),this.cookController.endCook()}_createDepthCamera(t){this._shadowCamera=new ot.a(-.5,.5,.5,-.5,0,1),this._shadowCamera.rotation.x=Math.PI/2,t.add(this._shadowCamera),this._helper=new zU(this._shadowCamera),this._helper.visible=!1,this._shadowCamera.add(this._helper)}_createMaterials(){this._depthMaterial=new Sn,this._depthMaterial.onBeforeCompile=t=>{t.uniforms.darkness=this._darknessUniform,t.fragmentShader=`\\\\n\\\\t\\\\t\\\\tuniform float darkness;\\\\n\\\\t\\\\t\\\\t${t.fragmentShader.replace(\\\\\\\"gl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );\\\\\\\",\\\\\\\"gl_FragColor = vec4( vec3( 0.0 ), ( 1.0 - fragCoordZ ) * darkness );\\\\\\\")}\\\\n\\\\t\\\\t`},this._depthMaterial.depthTest=!1,this._depthMaterial.depthWrite=!1}_renderShadow(t,e){if(!this._helper)return;if(!this._depthMaterial)return;if(!this._shadowCamera)return;if(!this._helper)return;if(!this._plane)return;const n=this._plane.onBeforeRender,i=e.background,s=this._helper.visible;e.background=null,this._plane.onBeforeRender=this._emptyOnBeforeRender,this._helper.visible=!1,e.overrideMaterial=this._depthMaterial,this._initVisibility(e),t.setRenderTarget(this._renderTarget),t.render(e,this._shadowCamera),this._coreRenderBlur.applyBlur(this._renderTarget,t,this.pv.blur,this.pv.blur),this.pv.tblur2&&this._coreRenderBlur.applyBlur(this._renderTarget,t,this.pv.blur2,this.pv.blur2),this._restoreVisibility(e),e.overrideMaterial=null,this._helper.visible=s,t.setRenderTarget(null),e.background=i,this._plane.onBeforeRender=n}_updateShadowGroupVisibility(){this._shadowGroup&&(this.flags.display.active()?this._shadowGroup.visible=!0:this._shadowGroup.visible=!1)}_updateHelperVisibility(){this._helper&&(this.flags.display.active()&&this.pv.showHelper?this._helper.visible=!0:this._helper.visible=!1)}_updateRenderHook(){const t=RG[this.pv.updateMode];switch(t){case PG.ON_RENDER:return this._addRenderHook();case PG.MANUAL:return this._removeRenderHook()}os.unreachable(t)}_addRenderHook(){this._plane&&this._plane.onBeforeRender!=this._on_object_before_render_bound&&(this._plane.onBeforeRender=this._on_object_before_render_bound)}_removeRenderHook(){this._plane&&this._plane.onBeforeRender!=this._emptyRenderHook&&(this._plane.onBeforeRender=this._emptyRenderHook)}_update(t,e,n,i,s,r){t&&e?this._renderShadow(t,e):console.log(\\\\\\\"no renderer or scene\\\\\\\")}_updateManual(){const t=li.renderersController.firstRenderer();if(!t)return void console.log(\\\\\\\"no renderer found\\\\\\\");const e=this.scene().threejsScene();this._renderShadow(t,e)}static PARAM_CALLBACK_update_updateMode(t){t._updateRenderHook()}static PARAM_CALLBACK_updateManual(t){t._updateManual()}static PARAM_CALLBACK_updateObjectsList(t){t._updateObjectsList()}_updateObjectsList(){\\\\\\\"\\\\\\\"!=this.pv.include?this._includedObjects=this.scene().objectsByMask(this.pv.include):this._includedObjects=[];const t=new Map;for(let e of this._includedObjects)e.traverseAncestors((e=>{t.set(e.uuid,e)}));this._includedAncestors=[],t.forEach(((t,e)=>{this._includedAncestors.push(t)})),\\\\\\\"\\\\\\\"!=this.pv.exclude?this._excludedObjects=this.scene().objectsByMask(this.pv.exclude):this._excludedObjects=[]}static PARAM_CALLBACK_printResolveObjectsList(t){t._printResolveObjectsList()}_printResolveObjectsList(){console.log(\\\\\\\"included objects:\\\\\\\"),console.log(this._includedObjects),console.log(\\\\\\\"included parents:\\\\\\\"),console.log(this._includedAncestors),console.log(\\\\\\\"excluded objects:\\\\\\\"),console.log(this._excludedObjects)}_initVisibility(t){this._includedObjects.length>0?t.traverse((t=>{this._initialVisibilityState.set(t,t.visible),t.visible=!1})):(this._storeObjectsVisibility(this._includedObjects),this._storeObjectsVisibility(this._includedAncestors),this._storeObjectsVisibility(this._excludedObjects)),this._setObjectsVisibility(this._includedObjects,!0),this._setObjectsVisibility(this._includedAncestors,!0),this._setObjectsVisibility(this._excludedObjects,!1)}_storeObjectsVisibility(t){for(let e of t)this._initialVisibilityState.set(e,e.visible)}_setObjectsVisibility(t,e){for(let n of t)n.visible=e}_restoreVisibility(t){this._includedObjects.length>0?t.traverse((t=>{const e=this._initialVisibilityState.get(t);e&&(t.visible=e)})):(this._restoreObjectsVisibility(this._includedObjects),this._restoreObjectsVisibility(this._includedAncestors),this._restoreObjectsVisibility(this._excludedObjects))}_restoreObjectsVisibility(t){for(let e of t){const t=this._initialVisibilityState.get(e);t&&(e.visible=t)}}}const zG=\\\\\\\"display\\\\\\\";class kG{constructor(t){this.node=t,this._children_uuids_dict=new Map,this._children_length=0,this._sop_group=this._create_sop_group()}_create_sop_group(){const t=new Fn.a;return t.matrixAutoUpdate=!1,t}sopGroup(){return this._sop_group}set_sop_group_name(){this._sop_group.name=`${this.node.name()}:sop_group`}displayNodeControllerCallbacks(){return{onDisplayNodeRemove:()=>{this.remove_children()},onDisplayNodeSet:()=>{setTimeout((()=>{this.request_display_node_container()}),0)},onDisplayNodeUpdate:()=>{this.request_display_node_container()}}}initializeNode(){var t;this.node.object.add(this.sopGroup()),this.node.nameController.add_post_set_fullPath_hook(this.set_sop_group_name.bind(this)),this._create_sop_group();const e=null===(t=this.node.flags)||void 0===t?void 0:t.display;e&&e.onUpdate((()=>{this._updateSopGroupHierarchy(),e.active()&&this.request_display_node_container()}))}_updateSopGroupHierarchy(){var t;if(null===(t=this.node.flags)||void 0===t?void 0:t.display){const t=this.sopGroup();this.usedInScene()?(t.visible=!0,this.node.object.add(t),t.updateMatrix()):(t.visible=!1,this.node.object.remove(t))}}usedInScene(){var t,e;const n=this.node.params.has(zG),i=this.node.params.boolean(zG),s=this.node.usedInScene(),r=(null===(e=null===(t=this.node.flags)||void 0===t?void 0:t.display)||void 0===e?void 0:e.active())||!1;return s&&r&&(!n||i)}async request_display_node_container(){this.node.scene().loadingController.loaded()&&this.usedInScene()&&await this._set_content_under_sop_group()}remove_children(){if(0==this._sop_group.children.length)return;let t;for(;t=this._sop_group.children[0];)this._sop_group.remove(t);this._children_uuids_dict.clear(),this._children_length=0}async _set_content_under_sop_group(){var t;const e=this.node.displayNodeController.displayNode();if(e&&(null===(t=e.parent())||void 0===t?void 0:t.graphNodeId())==this.node.graphNodeId()){const t=(await e.compute()).coreContent();if(t){const e=t.objects();let n=e.length!=this._children_length;if(!n)for(let t of e)this._children_uuids_dict.get(t.uuid)||(n=!0);if(n){this.remove_children();for(let t of e)this._sop_group.add(t),t.updateMatrix(),this._children_uuids_dict.set(t.uuid,!0);this._children_length=e.length}return}}this.remove_children()}}class UG extends(wU(ua)){constructor(){super(...arguments),this.display=ha.BOOLEAN(1),this.renderOrder=ha.INTEGER(0,{range:[0,10],rangeLocked:[!0,!1]})}}const GG=new UG;class VG extends cU{constructor(){super(...arguments),this.paramsConfig=GG,this.hierarchyController=new MU(this),this.transformController=new AU(this),this.flags=new Di(this),this.childrenDisplayController=new kG(this),this.displayNodeController=new Fm(this,this.childrenDisplayController.displayNodeControllerCallbacks()),this._children_controller_context=ts.SOP,this._onChildAddBound=this._onChildAdd.bind(this)}static type(){return Ig.GEO}createObject(){const t=new Fn.a;return t.matrixAutoUpdate=!1,t}initializeNode(){this.lifecycle.add_on_child_add_hook(this._onChildAddBound),this.hierarchyController.initializeNode(),this.transformController.initializeNode(),this.childrenDisplayController.initializeNode()}isDisplayNodeCooking(){if(this.flags.display.active()){const t=this.displayNodeController.displayNode();return!!t&&t.isDirty()}return!1}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}_onChildAdd(t){var e,n;this.scene().loadingController.loaded()&&1==this.children().length&&(null===(n=null===(e=t.flags)||void 0===e?void 0:e.display)||void 0===n||n.set(!0))}cook(){this.transformController.update(),this.object.visible=this.pv.display,this.object.renderOrder=this.pv.renderOrder,this.cookController.endCook()}}class HG extends(wU(ua)){}const jG=new HG;class WG extends cU{constructor(){super(...arguments),this.paramsConfig=jG,this.hierarchyController=new MU(this),this.transformController=new AU(this),this.flags=new Di(this),this._helper=new TG(1)}static type(){return\\\\\\\"null\\\\\\\"}createObject(){const t=new Fn.a;return t.matrixAutoUpdate=!1,t}initializeNode(){this.hierarchyController.initializeNode(),this.transformController.initializeNode(),this._updateHelperHierarchy(),this._helper.matrixAutoUpdate=!1,this.flags.display.onUpdate((()=>{this._updateHelperHierarchy()}))}_updateHelperHierarchy(){this.flags.display.active()?(this.object.add(this._helper),this._helper.updateMatrix()):this.object.remove(this._helper)}cook(){this.transformController.update(),this.cookController.endCook()}}const qG=new class extends ua{constructor(){super(...arguments),this.center=ha.VECTOR3([0,0,0]),this.longitude=ha.FLOAT(0,{range:[0,360]}),this.latitude=ha.FLOAT(0,{range:[-180,180]}),this.depth=ha.FLOAT(1,{range:[0,10]})}},XG=\\\\\\\"_cook_main_without_inputs_when_dirty\\\\\\\",YG=new p.a(0,1,0),$G=new p.a(-1,0,0);class JG extends cU{constructor(){super(...arguments),this.paramsConfig=qG,this.hierarchyController=new MU(this),this.flags=new Di(this),this._helper=new TG(1),this._cook_main_without_inputs_when_dirty_bound=this._cook_main_without_inputs_when_dirty.bind(this),this._centerMatrix=new A.a,this._longitudeMatrix=new A.a,this._latitudeMatrix=new A.a,this._depthMatrix=new A.a,this._fullMatrix=new A.a,this._decomposed={t:new p.a,q:new hh.a,s:new p.a}}static type(){return\\\\\\\"polarTransform\\\\\\\"}createObject(){const t=new Fn.a;return t.matrixAutoUpdate=!1,t}initializeNode(){this.hierarchyController.initializeNode(),this.dirtyController.hasHook(XG)||this.dirtyController.addPostDirtyHook(XG,this._cook_main_without_inputs_when_dirty_bound),this._updateHelperHierarchy(),this._helper.matrixAutoUpdate=!1,this.flags.display.onUpdate((()=>{this._updateHelperHierarchy()}))}_updateHelperHierarchy(){this.flags.display.active()?(this.object.add(this._helper),this._helper.updateMatrix()):this.object.remove(this._helper)}async _cook_main_without_inputs_when_dirty(){await this.cookController.cookMainWithoutInputs()}cook(){const t=this.object;this._centerMatrix.identity(),this._longitudeMatrix.identity(),this._latitudeMatrix.identity(),this._depthMatrix.identity(),this._centerMatrix.makeTranslation(this.pv.center.x,this.pv.center.y,this.pv.center.z),this._longitudeMatrix.makeRotationAxis(YG,Object(On.e)(this.pv.longitude)),this._latitudeMatrix.makeRotationAxis($G,Object(On.e)(this.pv.latitude)),this._depthMatrix.makeTranslation(0,0,this.pv.depth),this._fullMatrix.copy(this._centerMatrix).multiply(this._longitudeMatrix).multiply(this._latitudeMatrix).multiply(this._depthMatrix),this._fullMatrix.decompose(this._decomposed.t,this._decomposed.q,this._decomposed.s),t.position.copy(this._decomposed.t),t.quaternion.copy(this._decomposed.q),t.scale.copy(this._decomposed.s),t.updateMatrix(),this.cookController.endCook()}}class ZG{constructor(t){this._scene=t,this._data={}}data(t){this._scene.nodesController.reset_node_context_signatures();const e=rV.dispatch_node(this._scene.root()),n=e.data(),i=e.ui_data();return this._data={properties:{frame:this._scene.frame()||Nl.START_FRAME,maxFrame:this._scene.maxFrame(),maxFrameLocked:this._scene.timeController.maxFrameLocked(),realtimeState:this._scene.timeController.realtimeState(),mainCameraNodePath:this._scene.camerasController.mainCameraNodePath(),versions:t},root:n,ui:i},this._data}static sanitize_string(t){return t=t.replace(/'/g,\\\\\\\"'\\\\\\\"),t=ss.escapeLineBreaks(t)}}class KG{constructor(t){this._node=t}data(t={}){var e,n,i,s,r,o,a;this.is_root()||this._node.scene().nodesController.register_node_context_signature(this._node),this._data={type:this._node.type()};const l=this.nodes_data(t);Object.keys(l).length>0&&(this._data.nodes=l);const c=this.params_data();if(Object.keys(c).length>0&&(this._data.params=c),!this.is_root()){this._node.io.inputs.maxInputsCountOverriden()&&(this._data.maxInputsCount=this._node.io.inputs.maxInputsCount());const t=this.inputs_data();t.length>0&&(this._data.inputs=t);const e=this.connection_points_data();e&&(this._data.connection_points=e)}if(this._node.flags){const t={};(this._node.flags.hasBypass()||this._node.flags.hasDisplay()||this._node.flags.hasOptimize())&&(this._node.flags.hasBypass()&&(null===(e=this._node.flags.bypass)||void 0===e?void 0:e.active())&&(t.bypass=this._node.flags.bypass.active()),this._node.flags.hasDisplay()&&(!(null===(n=this._node.flags.display)||void 0===n?void 0:n.active())&&(null===(i=this._node.parent())||void 0===i?void 0:i.displayNodeController)||(t.display=null===(s=this._node.flags.display)||void 0===s?void 0:s.active())),this._node.flags.hasOptimize()&&(null===(r=this._node.flags.optimize)||void 0===r?void 0:r.active())&&(t.optimize=null===(o=this._node.flags.optimize)||void 0===o?void 0:o.active())),Object.keys(t).length>0&&(this._data.flags=t)}if(this._node.childrenAllowed()){const t=null===(a=this._node.childrenController)||void 0===a?void 0:a.selection;if(t&&this._node.children().length>0){const e=[],n={};for(let e of t.nodes())n[e.graphNodeId()]=!0;for(let t of this._node.children())t.graphNodeId()in n&&e.push(t);const i=e.map((t=>t.name()));i.length>0&&(this._data.selection=i)}}if(this._node.io.inputs.overrideClonedStateAllowed()){const t=this._node.io.inputs.clonedStateOverriden();t&&(this._data.cloned_state_overriden=t)}if(this._node.persisted_config){const t=this._node.persisted_config.toJSON();t&&(this._data.persisted_config=t)}return this.add_custom(),this._data}ui_data(t={}){const e=this.ui_data_without_children(),n=this._node.children();return n.length>0&&(e.nodes={},n.forEach((n=>{const i=rV.dispatch_node(n);e.nodes[n.name()]=i.ui_data(t)}))),e}ui_data_without_children(){const t={};if(!this.is_root()){const e=this._node.uiData;t.pos=e.position().toArray();const n=e.comment();n&&(t.comment=ZG.sanitize_string(n))}return t}is_root(){return null===this._node.parent()&&this._node.graphNodeId()==this._node.root().graphNodeId()}inputs_data(){const t=[];return this._node.io.inputs.inputs().forEach(((e,n)=>{var i;if(e){const s=this._node.io.connections.inputConnection(n);if(this._node.io.inputs.hasNamedInputs()){const r=s.output_index,o=null===(i=e.io.outputs.namedOutputConnectionPoints()[r])||void 0===i?void 0:i.name();o&&(t[n]={index:n,node:e.name(),output:o})}else t[n]=e.name()}})),t}connection_points_data(){if(this._node.io.has_connection_points_controller&&this._node.io.connection_points.initialized()&&(this._node.io.inputs.hasNamedInputs()||this._node.io.outputs.hasNamedOutputs())){const t={};if(this._node.io.inputs.hasNamedInputs()){t.in=[];for(let e of this._node.io.inputs.namedInputConnectionPoints())e&&t.in.push(e.toJSON())}if(this._node.io.outputs.hasNamedOutputs()){t.out=[];for(let e of this._node.io.outputs.namedOutputConnectionPoints())e&&t.out.push(e.toJSON())}return t}}params_data(){const t={};for(let e of this._node.params.names){const n=this._node.params.get(e);if(n&&!n.parent_param){const e=rV.dispatch_param(n);if(e.required()){const i=e.data();t[n.name()]=i}}}return t}nodes_data(t={}){const e={};for(let n of this._node.children()){const i=rV.dispatch_node(n);e[n.name()]=i.data(t)}return e}add_custom(){}}class QG{constructor(t){this._param=t,this._complex_data={}}required(){const t=this._param.options.isSpare()&&!this._param.parent_param,e=!this._param.isDefault();return t||e||this._param.options.hasOptionsOverridden()}data(){if(this._param.parent_param)throw console.warn(\\\\\\\"no component should be saved\\\\\\\"),\\\\\\\"no component should be saved\\\\\\\";return this._require_data_complex()?this._data_complex():this._data_simple()}_data_simple(){return this._param.rawInputSerialized()}_data_complex(){if(this._complex_data={},this._param.options.isSpare()&&!this._param.parent_param&&(this._complex_data.type=this._param.type(),this._complex_data.default_value=this._param.defaultValueSerialized(),this._complex_data.options=this._param.options.current()),this._param.isDefault()||(this._complex_data.raw_input=this._param.rawInputSerialized()),this._param.options.hasOptionsOverridden()){const t={},e=this._param.options.overriddenOptions();for(let n of Object.keys(e)){const i=e[n];m.isString(i)||m.isNumber(i)?t[n]=i:t[n]=JSON.stringify(i)}this._complex_data.overriden_options=t}return this._complex_data}_require_data_complex(){return!!this._param.options.isSpare()||!!this._param.options.hasOptionsOverridden()}add_main(){}}class tV extends QG{add_main(){if(!this._require_data_complex())return this._param.rawInputSerialized();this._complex_data.raw_input=this._param.rawInputSerialized()}}class eV extends QG{add_main(){let t=this._param.rawInput();if(t=ZG.sanitize_string(t),!this._require_data_complex())return t;this._complex_data.raw_input=t}}class nV extends QG{add_main(){let t=this._param.rawInput();if(t=ZG.sanitize_string(t),!this._require_data_complex())return t;this._complex_data.raw_input=t}}class iV extends QG{add_main(){if(!this._require_data_complex())return this._param.rawInputSerialized();this._complex_data.raw_input=this._param.rawInputSerialized()}}class sV extends KG{nodes_data(t={}){return t.showPolyNodesData?super.nodes_data(t):{}}ui_data(t={}){return t.showPolyNodesData?super.ui_data(t):this.ui_data_without_children()}}class rV{static dispatch_node(t){return t.polyNodeController?new sV(t):new KG(t)}static dispatch_param(t){return t instanceof ro?new tV(t):t instanceof fo?new eV(t):t instanceof Mo?new nV(t):t instanceof Ao?new iV(t):new QG(t)}}class oV{constructor(){this._objects=[],this._objects_with_geo=[],this.touch()}timestamp(){return this._timestamp}touch(){const t=li.performance.performanceManager();this._timestamp=t.now(),this.reset()}reset(){this._bounding_box=void 0,this._core_geometries=void 0,this._core_objects=void 0}clone(){const t=new oV;if(this._objects){const e=[];for(let t of this._objects)e.push(br.clone(t));t.setObjects(e)}return t}setObjects(t){this._objects=t,this._objects_with_geo=t.filter((t=>null!=t.geometry)),this.touch()}objects(){return this._objects}objectsWithGeo(){return this._objects_with_geo}coreObjects(){return this._core_objects=this._core_objects||this._create_core_objects()}_create_core_objects(){return this._objects?this._objects.map(((t,e)=>new br(t,e))):[]}objectsData(){return this._objects?this._objects.map((t=>this._objectData(t))):[]}_objectData(t){let e=0;return t.geometry&&(e=fr.pointsCount(t.geometry)),{type:Os(t.constructor),name:t.name,children_count:t.children.length,points_count:e}}geometries(){const t=[];for(let e of this.coreObjects()){const n=e.object().geometry;n&&t.push(n)}return t}coreGeometries(){return this._core_geometries=this._core_geometries||this._createCoreGeometries()}_createCoreGeometries(){const t=[];for(let e of this.geometries())t.push(new fr(e));return t}static geometryFromObject(t){return t.isMesh||t.isLine||t.isPoints?t.geometry:null}faces(){const t=[];for(let e of this.objectsWithGeo())if(e.geometry){const n=new fr(e.geometry).faces();for(let i of n)i.applyMatrix4(e.matrix),t.push(i)}return t}points(){return this.coreGeometries().map((t=>t.points())).flat()}pointsCount(){return f.sum(this.coreGeometries().map((t=>t.pointsCount())))}totalPointsCount(){if(this._objects){let t=0;for(let e of this._objects)e.traverse((e=>{const n=e.geometry;n&&(t+=fr.pointsCount(n))}));return t}return 0}pointsFromGroup(t){if(t){const e=ss.indices(t),n=this.points();return f.compact(e.map((t=>n[t])))}return this.points()}static _fromObjects(t){const e=new oV;return e.setObjects(t),e}objectsFromGroup(t){return this.coreObjectsFromGroup(t).map((t=>t.object()))}coreObjectsFromGroup(t){if(\\\\\\\"\\\\\\\"!==(t=t.trim())){const e=parseInt(t);return m.isNaN(e)?this.coreObjects().filter((e=>ss.matchMask(t,e.name()))):f.compact([this.coreObjects()[e]])}return this.coreObjects()}boundingBox(t=!1){return this._bounding_box=t?this._computeBoundingBox():this._bounding_box||this._computeBoundingBox()}center(){const t=new p.a;return this.boundingBox().getCenter(t),t}size(){const t=new p.a;return this.boundingBox().getSize(t),t}_computeBoundingBox(){let t;if(this._objects)for(let e of this._objects){const n=e.geometry;n&&(n.computeBoundingBox(),t?t.expandByObject(e):n.boundingBox&&(t=n.boundingBox.clone()))}return t=t||new Ry.a(new p.a(-1,-1,-1),new p.a(1,1,1)),t}computeVertexNormals(){for(let t of this.coreObjects())t.computeVertexNormals()}hasAttrib(t){let e;return null!=(e=this.coreGeometries()[0])&&e.hasAttrib(t)}attribType(t){const e=this.coreGeometries()[0];return null!=e?e.attribType(t):null}objectAttribType(t){const e=this.coreObjects()[0];return null!=e?e.attribType(t):null}renameAttrib(t,e,n){switch(n){case js.ATTRIB_CLASS.VERTEX:if(this.hasAttrib(t)&&this._objects)for(let n of this._objects)n.traverse((n=>{const i=oV.geometryFromObject(n);if(i){new fr(i).renameAttrib(t,e)}}));break;case js.ATTRIB_CLASS.OBJECT:if(this.hasAttrib(t)&&this._objects)for(let n of this._objects)n.traverse((n=>{new br(n,0).renameAttrib(t,e)}))}}attribNames(){let t;return null!=(t=this.coreGeometries()[0])?t.attribNames():[]}objectAttribNames(){let t;return null!=(t=this.coreObjects()[0])?t.attribNames():[]}attribNamesMatchingMask(t){const e=ss.attribNames(t),n=[];for(let t of this.attribNames())for(let i of e)if(ss.matchMask(t,i))n.push(t);else{t==Xs.remapName(i)&&n.push(t)}return f.uniq(n)}attribSizes(){let t;return null!=(t=this.coreGeometries()[0])?t.attribSizes():{}}objectAttribSizes(){let t;return null!=(t=this.coreObjects()[0])?t.attribSizes():{}}attribSize(t){let e;return null!=(e=this.coreGeometries()[0])?e.attribSize(t):0}addNumericVertexAttrib(t,e,n){null==n&&(n=Xs.default_value(e));for(let i of this.coreGeometries())i.addNumericAttrib(t,e,n)}static clone(t){const e=new Fn.a;return t.children.forEach((t=>{const n=br.clone(t);e.add(n)})),e}}class aV extends zl{static context(){return ts.SOP}cook(t,e){}createCoreGroupFromObjects(t){const e=new oV;return e.setObjects(t),e}createCoreGroupFromGeometry(t,e=Ns.MESH){const n=aV.createObject(t,e);return this.createCoreGroupFromObjects([n])}createObject(t,e,n){return aV.createObject(t,e,n)}static createObject(t,e,n){this.createIndexIfNone(t);const i=new(0,Ls[e])(t,n=n||js.MATERIALS[e].clone());return i.castShadow=!0,i.receiveShadow=!0,i.frustumCulled=!1,i.matrixAutoUpdate=!1,i}createIndexIfNone(t){aV.createIndexIfNone(t)}static createIndexIfNone(t){pr.createIndexIfNone(t)}}var lV;!function(t){t.FROM_SET_CORE_GROUP=\\\\\\\"from set_core_group\\\\\\\",t.FROM_SET_GROUP=\\\\\\\"from set_group\\\\\\\",t.FROM_SET_OBJECTS=\\\\\\\"from set_objects\\\\\\\",t.FROM_SET_OBJECT=\\\\\\\"from set_object\\\\\\\",t.FROM_SET_GEOMETRIES=\\\\\\\"from set_geometries\\\\\\\",t.FROM_SET_GEOMETRY=\\\\\\\"from set_geometry\\\\\\\"}(lV||(lV={}));const cV=\\\\\\\"input geometry\\\\\\\",hV=[cV,cV,cV,cV];class uV extends aa{constructor(){super(...arguments),this.flags=new Ui(this)}static context(){return ts.SOP}static displayedInputNames(){return hV}initializeBaseNode(){this.flags.display.set(!1),this.flags.display.onUpdate((()=>{if(this.flags.display.active()){const t=this.parent();t&&t.displayNodeController&&t.displayNodeController.setDisplayNode(this)}})),this.io.outputs.setHasOneOutput()}setCoreGroup(t){this._setContainer(t,lV.FROM_SET_CORE_GROUP)}setObject(t){this._setContainerObjects([t],lV.FROM_SET_OBJECT)}setObjects(t){this._setContainerObjects(t,lV.FROM_SET_OBJECTS)}setGeometry(t,e=Ns.MESH){const n=this.createObject(t,e);this._setContainerObjects([n],lV.FROM_SET_GEOMETRY)}setGeometries(t,e=Ns.MESH){const n=[];let i;for(let s of t)i=this.createObject(s,e),n.push(i);this._setContainerObjects(n,lV.FROM_SET_GEOMETRIES)}_setContainerObjects(t,e){const n=this.containerController.container().coreContent()||new oV;n.setObjects(t),n.touch(),this._setContainer(n)}static createObject(t,e,n){return aV.createObject(t,e,n)}createObject(t,e,n){return uV.createObject(t,e,n)}static createIndexIfNone(t){aV.createIndexIfNone(t)}_createIndexIfNone(t){uV.createIndexIfNone(t)}}const dV=new class extends ua{};class pV extends uV{constructor(){super(...arguments),this.paramsConfig=dV}static type(){return ns.OUTPUT}initializeNode(){this.io.inputs.setCount(1),this.io.outputs.setHasNoOutput(),this.io.inputs.initInputsClonedState(Qi.NEVER)}cook(t){this.setCoreGroup(t[0])}}class _V extends uV{constructor(){super(...arguments),this.childrenDisplayController=new fV(this),this.displayNodeController=new Fm(this,this.childrenDisplayController.displayNodeControllerCallbacks()),this._children_controller_context=ts.SOP}initializeBaseNode(){super.initializeBaseNode(),this.childrenDisplayController.initializeNode(),this.cookController.disallowInputsEvaluation()}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}async cook(t){const e=this.childrenDisplayController.output_node();if(e){const t=(await e.compute()).coreContent();t?this.setCoreGroup(t):e.states.error.active()?this.states.error.set(e.states.error.message()):this.setObjects([])}else this.states.error.set(\\\\\\\"no output node found inside subnet\\\\\\\")}}const mV={dependsOnDisplayNode:!0};class fV{constructor(t,e=mV){this.node=t,this.options=e,this._output_node_needs_update=!0}dispose(){var t;null===(t=this._graph_node)||void 0===t||t.dispose()}displayNodeControllerCallbacks(){return{onDisplayNodeRemove:()=>{this.node.setDirty()},onDisplayNodeSet:()=>{this.node.setDirty()},onDisplayNodeUpdate:()=>{this.node.setDirty()}}}output_node(){return this._output_node_needs_update&&this._update_output_node(),this._output_node}initializeNode(){var t;const e=null===(t=this.node.flags)||void 0===t?void 0:t.display;e&&e.onUpdate((()=>{e.active()&&this.node.setDirty()})),this.node.lifecycle.add_on_child_add_hook((()=>{this._output_node_needs_update=!0,this.node.setDirty()})),this.node.lifecycle.add_on_child_remove_hook((()=>{this._output_node_needs_update=!0,this.node.setDirty()}))}_update_output_node(){const t=this.node.nodesByType(pV.type())[0];null!=this._output_node&&null!=t&&this._output_node.graphNodeId()==t.graphNodeId()||(this._graph_node&&this._output_node&&this._graph_node.removeGraphInput(this._output_node),this._output_node=t,this._output_node&&this.options.dependsOnDisplayNode&&(this._graph_node=this._graph_node||this._create_graph_node(),this._graph_node.addGraphInput(this._output_node)))}_create_graph_node(){const t=new Mi(this.node.scene(),\\\\\\\"subnetChildrenDisplayController\\\\\\\");return t.addPostDirtyHook(\\\\\\\"subnetChildrenDisplayController\\\\\\\",(()=>{this.node.setDirty()})),t}}function gV(t,e){const n=new class extends ua{constructor(){super(...arguments),this.template=ha.OPERATOR_PATH(\\\\\\\"../template\\\\\\\"),this.debug=ha.BUTTON(null,{callback:t=>{i.PARAM_CALLBACK_debug(t)}})}};class i extends _V{constructor(){super(...arguments),this.paramsConfig=n,this.polyNodeController=new xV(this,e)}static type(){return t}static PARAM_CALLBACK_debug(t){t._debug()}_debug(){this.polyNodeController.debug(this.p.template)}}return i}const vV=gV(\\\\\\\"poly\\\\\\\",{nodeContext:ts.SOP,inputs:[0,4]});class yV extends vV{}class xV{constructor(t,e){this.node=t,this._definition=e}initializeNode(){this.init_inputs(),this.node.params.onParamsCreated(\\\\\\\"poly_node_init\\\\\\\",(()=>{this.create_params_from_definition()})),this.node.lifecycle.add_on_create_hook((()=>{this.create_params_from_definition(),this.createChildNodesFromDefinition()}))}init_inputs(){const t=this._definition.inputs;t&&this.node.io.inputs.setCount(t[0],t[1])}create_params_from_definition(){const t=this._definition.params;if(t){for(let e of t)e.options=e.options||{},e.options.spare=!0;this.node.params.updateParams({toAdd:t})}}createChildNodesFromDefinition(){const t=this._definition.nodes;if(!t)return;const e=this.node.scene().loadingController.loaded();e&&this.node.scene().loadingController.markAsLoading();const n=new Jl({}),i=new Vl(this.node);i.create_nodes(n,t);const s=this._definition.ui;s&&i.process_nodes_ui_data(n,s),e&&this.node.scene().loadingController.markAsLoaded()}debug(t){const e=t.found_node();if(e){const t=rV.dispatch_node(e),n=t.data({showPolyNodesData:!0}),i=t.ui_data({showPolyNodesData:!0}),s={nodeContext:e.context(),inputs:[0,0],params:[],nodes:n.nodes,ui:i.nodes};console.log(JSON.stringify(s))}}static createNodeClass(t,e,n){switch(e){case ts.SOP:return gV(t,n);case ts.OBJ:return bV(t,n)}}}function bV(t,e){const n=new class extends ua{constructor(){super(...arguments),this.display=ha.BOOLEAN(1),this.template=ha.OPERATOR_PATH(\\\\\\\"../template\\\\\\\"),this.debug=ha.BUTTON(null,{callback:t=>{i.PARAM_CALLBACK_debug(t)}})}};class i extends cU{constructor(){super(...arguments),this.paramsConfig=n,this.hierarchyController=new MU(this),this.flags=new Di(this),this.childrenDisplayController=new kG(this),this.displayNodeController=new Fm(this,this.childrenDisplayController.displayNodeControllerCallbacks()),this._children_controller_context=ts.SOP,this.polyNodeController=new xV(this,e)}static type(){return t}createObject(){const t=new Fn.a;return t.matrixAutoUpdate=!1,t}initializeNode(){this.hierarchyController.initializeNode(),this.childrenDisplayController.initializeNode()}isDisplayNodeCooking(){if(this.flags.display.active()){const t=this.displayNodeController.displayNode();return!!t&&t.isDirty()}return!1}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}cook(){this.object.visible=this.pv.display,this.cookController.endCook()}static PARAM_CALLBACK_debug(t){t._debug()}_debug(){this.polyNodeController.debug(this.p.template)}}return i}const wV=bV(\\\\\\\"poly\\\\\\\",{nodeContext:ts.OBJ});class TV extends wV{}class AV extends Q.a{constructor(t){super(),this.type=\\\\\\\"Audio\\\\\\\",this.listener=t,this.context=t.context,this.gain=this.context.createGain(),this.gain.connect(t.getInput()),this.autoplay=!1,this.buffer=null,this.detune=0,this.loop=!1,this.loopStart=0,this.loopEnd=0,this.offset=0,this.duration=void 0,this.playbackRate=1,this.isPlaying=!1,this.hasPlaybackControl=!0,this.source=null,this.sourceType=\\\\\\\"empty\\\\\\\",this._startedAt=0,this._progress=0,this._connected=!1,this.filters=[]}getOutput(){return this.gain}setNodeSource(t){return this.hasPlaybackControl=!1,this.sourceType=\\\\\\\"audioNode\\\\\\\",this.source=t,this.connect(),this}setMediaElementSource(t){return this.hasPlaybackControl=!1,this.sourceType=\\\\\\\"mediaNode\\\\\\\",this.source=this.context.createMediaElementSource(t),this.connect(),this}setMediaStreamSource(t){return this.hasPlaybackControl=!1,this.sourceType=\\\\\\\"mediaStreamNode\\\\\\\",this.source=this.context.createMediaStreamSource(t),this.connect(),this}setBuffer(t){return this.buffer=t,this.sourceType=\\\\\\\"buffer\\\\\\\",this.autoplay&&this.play(),this}play(t=0){if(!0===this.isPlaying)return void console.warn(\\\\\\\"THREE.Audio: Audio is already playing.\\\\\\\");if(!1===this.hasPlaybackControl)return void console.warn(\\\\\\\"THREE.Audio: this Audio has no playback control.\\\\\\\");this._startedAt=this.context.currentTime+t;const e=this.context.createBufferSource();return e.buffer=this.buffer,e.loop=this.loop,e.loopStart=this.loopStart,e.loopEnd=this.loopEnd,e.onended=this.onEnded.bind(this),e.start(this._startedAt,this._progress+this.offset,this.duration),this.isPlaying=!0,this.source=e,this.setDetune(this.detune),this.setPlaybackRate(this.playbackRate),this.connect()}pause(){if(!1!==this.hasPlaybackControl)return!0===this.isPlaying&&(this._progress+=Math.max(this.context.currentTime-this._startedAt,0)*this.playbackRate,!0===this.loop&&(this._progress=this._progress%(this.duration||this.buffer.duration)),this.source.stop(),this.source.onended=null,this.isPlaying=!1),this;console.warn(\\\\\\\"THREE.Audio: this Audio has no playback control.\\\\\\\")}stop(){if(!1!==this.hasPlaybackControl)return this._progress=0,this.source.stop(),this.source.onended=null,this.isPlaying=!1,this;console.warn(\\\\\\\"THREE.Audio: this Audio has no playback control.\\\\\\\")}connect(){if(this.filters.length>0){this.source.connect(this.filters[0]);for(let t=1,e=this.filters.length;t0){this.source.disconnect(this.filters[0]);for(let t=1,e=this.filters.length;t{t.load(e,(function(t){n(t)}))}))}}var IV;!function(t){t.LINEAR=\\\\\\\"linear\\\\\\\",t.INVERSE=\\\\\\\"inverse\\\\\\\",t.EXPONENTIAL=\\\\\\\"exponential\\\\\\\"}(IV||(IV={}));const FV=[IV.LINEAR,IV.INVERSE,IV.EXPONENTIAL];class DV extends(wU(ua)){constructor(){super(...arguments),this.audio=ha.FOLDER(),this.listener=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.OBJ,types:[Ig.AUDIO_LISTENER]}}),this.url=ha.STRING(\\\\\\\"\\\\\\\",{fileBrowse:{type:[Rr.AUDIO]}}),this.volume=ha.FLOAT(1),this.loop=ha.BOOLEAN(1,{separatorBefore:!0}),this.loopStart=ha.FLOAT(0,{visibleIf:{loop:1}}),this.loopEnd=ha.FLOAT(0,{visibleIf:{loop:1},separatorAfter:!0}),this.refDistance=ha.FLOAT(10,{range:[0,10],rangeLocked:[!0,!1]}),this.rolloffFactor=ha.FLOAT(10,{range:[0,10],rangeLocked:[!0,!1]}),this.maxDistance=ha.FLOAT(100,{range:[.001,100],rangeLocked:[!0,!1]}),this.distanceModel=ha.INTEGER(FV.indexOf(IV.LINEAR),{menu:{entries:FV.map(((t,e)=>({name:t,value:e})))}}),this.coneInnerAngle=ha.FLOAT(180,{range:[0,360],rangeLocked:[!0,!0]}),this.coneOuterAngle=ha.FLOAT(230,{range:[0,360],rangeLocked:[!0,!0]}),this.coneOuterGain=ha.FLOAT(.1,{range:[0,1],rangeLocked:[!0,!0]}),this.autoplay=ha.BOOLEAN(1),this.showHelper=ha.BOOLEAN(0),this.helperSize=ha.FLOAT(1,{range:[0,10],rangeLocked:[!0,!1],visibleIf:{showHelper:!0}}),this.play=ha.BUTTON(null,{callback:t=>{zV.PARAM_CALLBACK_play(t)}}),this.pause=ha.BUTTON(null,{callback:t=>{zV.PARAM_CALLBACK_pause(t)}})}}const BV=new DV;class zV extends cU{constructor(){super(...arguments),this.paramsConfig=BV,this.hierarchyController=new MU(this),this.transformController=new AU(this),this.flags=new Di(this)}static type(){return Ig.POSITIONAL_AUDIO}createObject(){const t=new Fn.a;return t.matrixAutoUpdate=!1,t}initializeNode(){this.hierarchyController.initializeNode(),this.transformController.initializeNode(),this._updateHelperHierarchy(),this.flags.display.onUpdate((()=>{this._updateHelperHierarchy()})),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.url],(()=>{const t=this.p.url.rawInput();if(t){const e=t.split(\\\\\\\"/\\\\\\\");return e[e.length-1]}return\\\\\\\"\\\\\\\"}))}))}))}_updateHelperHierarchy(){this._helper&&(this.flags.display.active()?this.object.add(this._helper):this.object.remove(this._helper))}cook(){this.transformController.update(),this._updatePositionalAudio(),this.cookController.endCook()}async _updatePositionalAudio(){this.p.listener.isDirty()&&await this.p.listener.compute();const t=this.pv.url;if(this._loadedUrl!=t)try{await this._createPositionalAudio()}catch(t){this.states.error.set(`error when creating audio: ${t}`)}this._positionalAudio&&(this._positionalAudio.setVolume(this.pv.volume),this._positionalAudio.setLoop(this.pv.loop),this._positionalAudio.setLoopStart(this.pv.loopStart),this._positionalAudio.setLoopEnd(this.pv.loopEnd),this._positionalAudio.setRefDistance(this.pv.refDistance),this._positionalAudio.setRolloffFactor(this.pv.rolloffFactor),this._positionalAudio.setMaxDistance(this.pv.maxDistance),this._positionalAudio.setDistanceModel(FV[this.pv.distanceModel]),this._positionalAudio.setDirectionalCone(this.pv.coneInnerAngle,this.pv.coneOuterAngle,this.pv.coneOuterGain),this.pv.showHelper&&(this._helper=this._helper||this._createHelper(this._positionalAudio),this.object.add(this._helper)),this._helper&&(this._helper.visible=this.pv.showHelper,this._helper.range=this.pv.helperSize,this._helper.update()))}_createHelper(t){const e=new LV(t);return e.matrixAutoUpdate=!1,e}async _createPositionalAudio(){const t=this.pv.listener.nodeWithContext(ts.OBJ);if(!t)return;const e=t.object;this._positionalAudio&&(this._positionalAudio.source&&(this._positionalAudio.stop(),this._positionalAudio.disconnect()),this.object.remove(this._positionalAudio),this._positionalAudio=void 0),this._helper&&(this._helper.dispose(),this._helper=void 0),this._positionalAudio=new NV(e),this._positionalAudio.matrixAutoUpdate=!1;const n=new RV(this.pv.url,this.scene(),this),i=await n.load();this._loadedUrl=this.pv.url,this._positionalAudio.autoplay=this.pv.autoplay,this._positionalAudio.setBuffer(i),this.object.add(this._positionalAudio)}isPlaying(){return!!this._positionalAudio&&this._positionalAudio.isPlaying}static PARAM_CALLBACK_play(t){t.PARAM_CALLBACK_play()}static PARAM_CALLBACK_pause(t){t.PARAM_CALLBACK_pause()}PARAM_CALLBACK_play(){this._positionalAudio&&(this.isPlaying()||this._positionalAudio.play())}PARAM_CALLBACK_pause(){this._positionalAudio&&this.isPlaying()&&this._positionalAudio.pause()}}var kV;!function(t){t.ON_RENDER=\\\\\\\"On Every Render\\\\\\\",t.MANUAL=\\\\\\\"Manual\\\\\\\"}(kV||(kV={}));const UV=[kV.ON_RENDER,kV.MANUAL];const GV=new class extends ua{constructor(){super(...arguments),this.object=ha.OPERATOR_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.OBJ},dependentOnFoundNode:!1,computeOnDirty:!0,callback:t=>{VV.PARAM_CALLBACK_update_resolved_object(t)}}),this.pointIndex=ha.INTEGER(0,{range:[0,100]}),this.updateMode=ha.INTEGER(UV.indexOf(kV.ON_RENDER),{callback:t=>{VV.PARAM_CALLBACK_update_updateMode(t)},menu:{entries:UV.map(((t,e)=>({name:t,value:e})))}}),this.update=ha.BUTTON(null,{callback:t=>{VV.PARAM_CALLBACK_update(t)},visibleIf:{updateMode:UV.indexOf(kV.MANUAL)}})}};class VV extends cU{constructor(){super(...arguments),this.paramsConfig=GV,this.hierarchyController=new MU(this),this.flags=new Di(this),this._helper=new TG(1),this._found_point_post=new p.a,this._on_object_before_render_bound=this._update.bind(this)}static type(){return\\\\\\\"rivet\\\\\\\"}createObject(){const t=new B.a;return t.matrixAutoUpdate=!1,t}initializeNode(){this.hierarchyController.initializeNode(),this.addPostDirtyHook(\\\\\\\"rivet_on_dirty\\\\\\\",(()=>{this.cookController.cookMainWithoutInputs()})),this._updateHelperHierarchy(),this.flags.display.onUpdate((()=>{this._updateHelperHierarchy()}))}_updateHelperHierarchy(){this.flags.display.active()?this.object.add(this._helper):this.object.remove(this._helper)}async cook(){await this._update_resolved_object(),this._update_render_hook(),this.cookController.endCook()}_update_render_hook(){const t=UV[this.pv.updateMode];switch(t){case kV.ON_RENDER:return this._add_render_hook();case kV.MANUAL:return this._remove_render_hook()}os.unreachable(t)}_add_render_hook(){this.object.onBeforeRender=this._on_object_before_render_bound,this.object.frustumCulled=!1}_remove_render_hook(){this.object.onBeforeRender=()=>{}}_update(t,e,n,i,s,r){const o=this._resolved_object();if(o){const t=o.geometry;if(t){const e=t.attributes.position;if(e){const t=e.array;this._found_point_post.fromArray(t,3*this.pv.pointIndex),o.updateWorldMatrix(!0,!1),o.localToWorld(this._found_point_post),this.object.matrix.makeTranslation(this._found_point_post.x,this._found_point_post.y,this._found_point_post.z)}}}}static PARAM_CALLBACK_update_resolved_object(t){t._update_resolved_object()}async _update_resolved_object(){this.p.object.isDirty()&&await this.p.object.compute();const t=this.p.object.found_node();if(t)if(t.context()==ts.OBJ&&t.type()==VG.type()){const e=t;this._resolved_sop_group=e.childrenDisplayController.sopGroup()}else this.states.error.set(\\\\\\\"found node is not a geo node\\\\\\\")}_resolved_object(){if(!this._resolved_sop_group)return;const t=this._resolved_sop_group.children[0];return t||void 0}static PARAM_CALLBACK_update_updateMode(t){t._update_render_hook()}static PARAM_CALLBACK_update(t){t._update()}}class HV extends(Pa(Na(wa(ya(_a(ua)))))){}const jV=new HV;class WV extends cU{constructor(){super(...arguments),this.paramsConfig=jV,this.hierarchyController=new MU(this),this.SceneAutoUpdateController=new ma(this),this.sceneBackgroundController=new xa(this),this.SceneEnvController=new Ta(this),this.sceneFogController=new La(this),this.sceneMaterialOverrideController=new Ra(this)}static type(){return\\\\\\\"scene\\\\\\\"}createObject(){const t=new vs;return t.matrixAutoUpdate=!1,t}initializeNode(){this.hierarchyController.initializeNode()}cook(){this.SceneAutoUpdateController.update(),this.sceneBackgroundController.update(),this.SceneEnvController.update(),this.sceneFogController.update(),this.sceneMaterialOverrideController.update(),this.cookController.endCook()}}class qV{constructor(t,e,n){this._camera_node_id=t,this._controls_node=e,this._controls=n,this._updateRequired=this._controls_node.updateRequired()}updateRequired(){return this._updateRequired}get camera_node_id(){return this._camera_node_id}get controls(){return this._controls}get controls_node(){return this._controls_node}is_equal(t){return t.camera_node_id==this._camera_node_id&&t.controls_node.graphNodeId()==this._controls_node.graphNodeId()}}const XV=\\\\\\\"controls\\\\\\\";class YV{constructor(t){this.node=t,this._applied_controls_by_element_id=new Map,this._controls_node=null}controls_param(){return this.node.params.has(XV)?this.node.params.get(XV):null}async controls_node(){const t=this.node.p.controls,e=t.rawInput();if(e&&\\\\\\\"\\\\\\\"!=e){t.isDirty()&&await t.compute();const e=t.value.node();if(e){if(ms.includes(e.type()))return e;this.node.states.error.set(\\\\\\\"found node is not of a camera control type\\\\\\\")}else this.node.states.error.set(\\\\\\\"no node has been found\\\\\\\")}return null}async update_controls(){const t=await this.controls_node();t&&this._controls_node!=t&&this._dispose_control_refs(),this._controls_node=t}async apply_controls(t){const e=t.canvas();if(!e)return;const n=await this.controls_node();if(n){this._controlsEndEventName=n.endEventName();const i=n.controls_id();let s=!1,r=this._applied_controls_by_element_id.get(e.id);if(r&&r.get(i)&&(s=!0),!s){r=new Map,this._applied_controls_by_element_id.set(e.id,r),r.set(i,n);const s=await n.apply_controls(this.node.object,t);if(!s)return;const o=new qV(this.node.graphNodeId(),n,s);return this.set_controls_events(s),o}}}_dispose_control_refs(){this._applied_controls_by_element_id.forEach(((t,e)=>{this._dispose_controls_for_element_id(e)})),this._applied_controls_by_element_id.clear(),this._controlsEndEventName=void 0}_dispose_controls_for_element_id(t){const e=this._applied_controls_by_element_id.get(t);e&&e.forEach(((e,n)=>{e.disposeControlsForHtmlElementId(t)})),this._applied_controls_by_element_id.delete(t)}async dispose_controls(t){this._dispose_controls_for_element_id(t.id)}set_controls_events(t){const e=UH[this.node.pv.updateFromControlsMode];switch(e){case kH.ON_END:return this._set_controls_events_to_update_on_end(t);case kH.ALWAYS:return this._set_controls_events_to_update_always(t);case kH.NEVER:return this._reset(t)}os.unreachable(e)}_reset(t){this.controls_change_listener&&(t.removeEventListener(\\\\\\\"change\\\\\\\",this.controls_change_listener),this.controls_change_listener=void 0),this.controls_end_listener&&this._controlsEndEventName&&(t.removeEventListener(this._controlsEndEventName,this.controls_end_listener),this.controls_end_listener=void 0)}_set_controls_events_to_update_on_end(t){this._reset(t),this._controlsEndEventName&&(this.controls_end_listener=()=>{this.node.update_transform_params_from_object()},t.addEventListener(this._controlsEndEventName,this.controls_end_listener))}_set_controls_events_to_update_always(t){this._reset(t),this.controls_change_listener=()=>{this.node.update_transform_params_from_object()},t.addEventListener(\\\\\\\"change\\\\\\\",this.controls_change_listener)}}function $V(t){return class extends t{constructor(){super(...arguments),this.layer=ha.INTEGER(0,{range:[0,31],rangeLocked:[!0,!0]})}}}class JV{constructor(t){this.node=t}update(){const t=this.node.object;t.layers.set(0),t.layers.enable(this.node.params.integer(\\\\\\\"layer\\\\\\\"))}}const ZV={callback:t=>{$H.PARAM_CALLBACK_reset_effects_composer(t)}};function KV(t){return class extends t{constructor(){super(...arguments),this.doPostProcess=ha.BOOLEAN(0),this.postProcessNode=ha.NODE_PATH(\\\\\\\"\\\\\\\",{visibleIf:{doPostProcess:1},nodeSelection:{types:[es.POST]},...ZV})}}}class QV{constructor(t){this.node=t,this._composers_by_canvas_id={},this.node.p.postProcessNode?this._add_param_dirty_hook():this.node.params.onParamsCreated(\\\\\\\"post process add param dirty hook\\\\\\\",(()=>{this._add_param_dirty_hook()}))}_add_param_dirty_hook(){this.node.p.postProcessNode.addPostDirtyHook(\\\\\\\"on_post_node_dirty\\\\\\\",(()=>{this.reset()}))}render(t,e){const n=this.composer(t);n&&(e&&n.setSize(e.x,e.y),n.render())}reset(){const t=Object.keys(this._composers_by_canvas_id);for(let e of t)delete this._composers_by_canvas_id[e]}composer(t){return this._composers_by_canvas_id[t.id]=this._composers_by_canvas_id[t.id]||this._create_composer(t)}_create_composer(t){const e=this.node.renderController.renderer(t);if(e){const n=this.node.renderController.resolved_scene||this.node.scene().threejsScene(),i=this.node.object,s=this.node.p.postProcessNode.value.node();if(s){if(s.type()==es.POST){const r=s,o=this.node.renderController.canvas_resolution(t);return r.effectsComposerController.createEffectsComposer({renderer:e,scene:n,camera:i,resolution:o,requester:this.node,camera_node:this.node})}this.node.states.error.set(\\\\\\\"found node is not a post process node\\\\\\\")}else this.node.states.error.set(\\\\\\\"no post node found\\\\\\\")}}}class tH extends aa{constructor(){super(...arguments),this.flags=new Pi(this)}static context(){return ts.ROP}initializeBaseNode(){this.dirtyController.addPostDirtyHook(\\\\\\\"cook_immediately\\\\\\\",(()=>{this.cookController.cookMainWithoutInputs()}))}cook(){this.cookController.endCook()}}var eH,nH,iH,sH;!function(t){t.CSS2D=\\\\\\\"CSS2DRenderer\\\\\\\",t.CSS3D=\\\\\\\"CSS3DRenderer\\\\\\\",t.WEBGL=\\\\\\\"WebGLRenderer\\\\\\\"}(eH||(eH={})),function(t){t.Linear=\\\\\\\"Linear\\\\\\\",t.sRGB=\\\\\\\"sRGB\\\\\\\",t.Gamma=\\\\\\\"Gamma\\\\\\\",t.RGBE=\\\\\\\"RGBE\\\\\\\",t.LogLuv=\\\\\\\"LogLuv\\\\\\\",t.RGBM7=\\\\\\\"RGBM7\\\\\\\",t.RGBM16=\\\\\\\"RGBM16\\\\\\\",t.RGBD=\\\\\\\"RGBD\\\\\\\"}(nH||(nH={})),(sH=iH||(iH={}))[sH.Linear=w.U]=\\\\\\\"Linear\\\\\\\",sH[sH.sRGB=w.ld]=\\\\\\\"sRGB\\\\\\\",sH[sH.Gamma=w.J]=\\\\\\\"Gamma\\\\\\\",sH[sH.RGBE=w.gc]=\\\\\\\"RGBE\\\\\\\",sH[sH.LogLuv=w.bb]=\\\\\\\"LogLuv\\\\\\\",sH[sH.RGBM7=w.lc]=\\\\\\\"RGBM7\\\\\\\",sH[sH.RGBM16=w.kc]=\\\\\\\"RGBM16\\\\\\\",sH[sH.RGBD=w.fc]=\\\\\\\"RGBD\\\\\\\";const rH=[nH.Linear,nH.sRGB,nH.Gamma,nH.RGBE,nH.LogLuv,nH.RGBM7,nH.RGBM16,nH.RGBD],oH=[iH.Linear,iH.sRGB,iH.Gamma,iH.RGBE,iH.LogLuv,iH.RGBM7,iH.RGBM16,iH.RGBD],aH=iH.sRGB;var lH,cH,hH;!function(t){t.No=\\\\\\\"No\\\\\\\",t.Linear=\\\\\\\"Linear\\\\\\\",t.Reinhard=\\\\\\\"Reinhard\\\\\\\",t.Cineon=\\\\\\\"Cineon\\\\\\\",t.ACESFilmic=\\\\\\\"ACESFilmic\\\\\\\"}(lH||(lH={})),(hH=cH||(cH={}))[hH.No=w.vb]=\\\\\\\"No\\\\\\\",hH[hH.Linear=w.ab]=\\\\\\\"Linear\\\\\\\",hH[hH.Reinhard=w.vc]=\\\\\\\"Reinhard\\\\\\\",hH[hH.Cineon=w.m]=\\\\\\\"Cineon\\\\\\\",hH[hH.ACESFilmic=w.a]=\\\\\\\"ACESFilmic\\\\\\\";const uH=[lH.No,lH.Linear,lH.Reinhard,lH.Cineon,lH.ACESFilmic],dH=[cH.No,cH.Linear,cH.Reinhard,cH.Cineon,cH.ACESFilmic],pH=cH.ACESFilmic,_H=uH.map(((t,e)=>({name:t,value:dH[e]})));var mH;!function(t){t.HIGH=\\\\\\\"highp\\\\\\\",t.MEDIUM=\\\\\\\"mediump\\\\\\\",t.LOW=\\\\\\\"lowp\\\\\\\"}(mH||(mH={}));const fH=[mH.HIGH,mH.MEDIUM,mH.LOW];var gH;!function(t){t.HIGH=\\\\\\\"high-performance\\\\\\\",t.LOW=\\\\\\\"low-power\\\\\\\",t.DEFAULT=\\\\\\\"default\\\\\\\"}(gH||(gH={}));const vH=[gH.HIGH,gH.LOW,gH.DEFAULT];var yH,xH,bH;!function(t){t.Basic=\\\\\\\"Basic\\\\\\\",t.PCF=\\\\\\\"PCF\\\\\\\",t.PCFSoft=\\\\\\\"PCFSoft\\\\\\\",t.VSM=\\\\\\\"VSM\\\\\\\"}(yH||(yH={})),(bH=xH||(xH={}))[bH.Basic=w.k]=\\\\\\\"Basic\\\\\\\",bH[bH.PCF=w.Fb]=\\\\\\\"PCF\\\\\\\",bH[bH.PCFSoft=w.Gb]=\\\\\\\"PCFSoft\\\\\\\",bH[bH.VSM=w.gd]=\\\\\\\"VSM\\\\\\\";const wH=[yH.Basic,yH.PCF,yH.PCFSoft,yH.VSM],TH=[xH.Basic,xH.PCF,xH.PCFSoft,xH.VSM],AH=(w.k,w.Fb,w.Gb,w.gd,xH.PCFSoft),MH={alpha:!1,precision:mH.HIGH,premultipliedAlpha:!0,antialias:!1,stencil:!0,preserveDrawingBuffer:!1,powerPreference:gH.DEFAULT,depth:!0,logarithmicDepthBuffer:!1};const EH=new class extends ua{constructor(){super(...arguments),this.tprecision=ha.BOOLEAN(0),this.precision=ha.INTEGER(fH.indexOf(mH.HIGH),{visibleIf:{tprecision:1},menu:{entries:fH.map(((t,e)=>({value:e,name:t})))}}),this.tpowerPreference=ha.BOOLEAN(0),this.powerPreference=ha.INTEGER(vH.indexOf(gH.DEFAULT),{visibleIf:{tpowerPreference:1},menu:{entries:vH.map(((t,e)=>({value:e,name:t})))}}),this.alpha=ha.BOOLEAN(1),this.premultipliedAlpha=ha.BOOLEAN(1),this.antialias=ha.BOOLEAN(1),this.stencil=ha.BOOLEAN(1),this.depth=ha.BOOLEAN(1),this.logarithmicDepthBuffer=ha.BOOLEAN(0),this.toneMapping=ha.INTEGER(pH,{menu:{entries:_H}}),this.toneMappingExposure=ha.FLOAT(1,{range:[0,2]}),this.outputEncoding=ha.INTEGER(aH,{menu:{entries:rH.map(((t,e)=>({name:t,value:oH[e]})))}}),this.physicallyCorrectLights=ha.BOOLEAN(1),this.sortObjects=ha.BOOLEAN(1),this.tpixelRatio=ha.BOOLEAN(0),this.pixelRatio=ha.INTEGER(2,{visibleIf:{tpixelRatio:!0},range:[1,4],rangeLocked:[!0,!1]}),this.tshadowMap=ha.BOOLEAN(1),this.shadowMapAutoUpdate=ha.BOOLEAN(1,{visibleIf:{tshadowMap:1}}),this.shadowMapNeedsUpdate=ha.BOOLEAN(0,{visibleIf:{tshadowMap:1}}),this.shadowMapType=ha.INTEGER(AH,{visibleIf:{tshadowMap:1},menu:{entries:wH.map(((t,e)=>({name:t,value:TH[e]})))}})}};class SH extends tH{constructor(){super(...arguments),this.paramsConfig=EH,this._renderers_by_canvas_id={}}static type(){return eH.WEBGL}createRenderer(t,e){const n={},i=Object.keys(MH);let s;for(s of i)n[s]=MH[s];if(this.pv.tprecision){const t=fH[this.pv.precision];n.precision=t}if(this.pv.tpowerPreference){const t=vH[this.pv.powerPreference];n.powerPreference=t}n.antialias=this.pv.antialias,n.antialias=this.pv.antialias,n.alpha=this.pv.alpha,n.premultipliedAlpha=this.pv.premultipliedAlpha,n.depth=this.pv.depth,n.stencil=this.pv.stencil,n.logarithmicDepthBuffer=this.pv.logarithmicDepthBuffer,n.canvas=t,n.context=e;const r=li.renderersController.createWebGLRenderer(n);return li.renderersController.printDebug()&&(li.renderersController.printDebugMessage(`create renderer from node '${this.path()}'`),li.renderersController.printDebugMessage({params:n})),this._update_renderer(r),this._renderers_by_canvas_id[t.id]=r,r}cook(){const t=Object.keys(this._renderers_by_canvas_id);for(let e of t){const t=this._renderers_by_canvas_id[e];this._update_renderer(t)}this._traverse_scene_and_update_materials(),this.cookController.endCook()}_update_renderer(t){t.physicallyCorrectLights=this.pv.physicallyCorrectLights,t.outputEncoding=this.pv.outputEncoding,t.toneMapping=this.pv.toneMapping,t.toneMappingExposure=this.pv.toneMappingExposure,t.shadowMap.enabled=this.pv.tshadowMap,t.shadowMap.autoUpdate=this.pv.shadowMapAutoUpdate,t.shadowMap.needsUpdate=this.pv.shadowMapNeedsUpdate,t.shadowMap.type=this.pv.shadowMapType,t.sortObjects=this.pv.sortObjects;const e=this.pv.tpixelRatio?this.pv.pixelRatio:NH.defaultPixelRatio();li.renderersController.printDebug()&&(li.renderersController.printDebugMessage(`set renderer pixelRatio from '${this.path()}'`),li.renderersController.printDebugMessage({pixelRatio:e})),t.setPixelRatio(e)}_traverse_scene_and_update_materials(){this.scene().threejsScene().traverse((t=>{const e=t.material;if(e)if(m.isArray(e))for(let t of e)t.needsUpdate=!0;else e.needsUpdate=!0}))}}function CH(t){return class extends t{constructor(){super(...arguments),this.render=ha.FOLDER(),this.setScene=ha.BOOLEAN(0),this.scene=ha.OPERATOR_PATH(\\\\\\\"\\\\\\\",{visibleIf:{setScene:1},nodeSelection:{context:ts.OBJ,types:[WV.type()]}}),this.setRenderer=ha.BOOLEAN(0),this.renderer=ha.OPERATOR_PATH(\\\\\\\"\\\\\\\",{visibleIf:{setRenderer:1},nodeSelection:{context:ts.ROP,types:[SH.type()]}}),this.setCSSRenderer=ha.BOOLEAN(0),this.CSSRenderer=ha.OPERATOR_PATH(\\\\\\\"\\\\\\\",{visibleIf:{setCSSRenderer:1},nodeSelection:{context:ts.ROP,types:[eH.CSS2D,eH.CSS3D]}})}}}class NH{constructor(t){this.node=t,this._renderers_by_canvas_id={},this._resolution_by_canvas_id={},this._super_sampling_size=new d.a}render(t,e,n,i){if(this.node.pv.doPostProcess?this.node.postProcessController.render(t,e):this.renderWithRenderer(t,i),this._resolved_cssRenderer_rop&&this._resolved_scene&&this.node.pv.setCSSRenderer){const e=this.cssRenderer(t);e&&e.render(this._resolved_scene,this.node.object)}}renderWithRenderer(t,e){const n=this.renderer(t);if(n){const t=this._resolved_scene;t&&n.render(t,this.node.object)}}async update(){this.update_scene(),this.update_renderer(),this.update_cssRenderer()}get resolved_scene(){return this._resolved_scene}update_scene(){if(this.node.pv.setScene){const t=this.node.p.scene;t.isDirty()&&t.find_target();const e=t.found_node_with_context_and_type(ts.OBJ,WV.type());e&&(e.isDirty()&&e.cookController.cookMainWithoutInputs(),this._resolved_scene=e.object)}else this._resolved_scene=this.node.scene().threejsScene()}update_renderer(){if(this.node.pv.setRenderer){const t=this.node.p.renderer;t.isDirty()&&t.find_target(),this._resolved_renderer_rop=t.found_node_with_context_and_type(ts.ROP,eH.WEBGL)}else this._resolved_renderer_rop=void 0}update_cssRenderer(){if(this.node.pv.setCSSRenderer){const t=this.node.p.CSSRenderer;t.isDirty()&&t.find_target(),this._resolved_cssRenderer_rop=t.found_node_with_context_and_type(ts.ROP,[eH.CSS2D,eH.CSS3D])}else this._resolved_cssRenderer_rop,this._resolved_cssRenderer_rop=void 0}renderer(t){return this._renderers_by_canvas_id[t.id]}cssRenderer(t){if(this._resolved_cssRenderer_rop&&this.node.pv.setCSSRenderer)return this._resolved_cssRenderer_rop.renderer(t)}createRenderer(t,e){const n=li.renderersController.createRenderingContext(t);if(!n)return void console.error(\\\\\\\"failed to create webgl context\\\\\\\");let i;return this.node.pv.setRenderer&&(this.update_renderer(),this._resolved_renderer_rop&&(i=this._resolved_renderer_rop.createRenderer(t,n))),i||(i=NH._createDefaultRenderer(t,n)),li.renderersController.registerRenderer(i),this._renderers_by_canvas_id[t.id]=i,this._super_sampling_size.copy(e),this.set_renderer_size(t,this._super_sampling_size),i}static defaultPixelRatio(){return ng.isMobile()?1:Math.max(2,window.devicePixelRatio)}static _createDefaultRenderer(t,e){const n={canvas:t,antialias:!1,alpha:!1,context:e},i=li.renderersController.createWebGLRenderer(n),s=this.defaultPixelRatio();return i.setPixelRatio(s),i.shadowMap.enabled=!0,i.shadowMap.type=AH,i.physicallyCorrectLights=!0,i.toneMapping=pH,i.toneMappingExposure=1,i.outputEncoding=aH,li.renderersController.printDebug()&&(li.renderersController.printDebugMessage(\\\\\\\"create default renderer\\\\\\\"),li.renderersController.printDebugMessage({params:n,pixelRatio:s})),i}deleteRenderer(t){const e=this.renderer(t);e&&li.renderersController.deregisterRenderer(e)}canvas_resolution(t){return this._resolution_by_canvas_id[t.id]}set_renderer_size(t,e){this._resolution_by_canvas_id[t.id]=this._resolution_by_canvas_id[t.id]||new d.a,this._resolution_by_canvas_id[t.id].copy(e);const n=this.renderer(t);if(n){const t=!1;n.setSize(e.x,e.y,t)}if(this._resolved_cssRenderer_rop){const n=this.cssRenderer(t);n&&n.setSize(e.x,e.y)}}}class LH{constructor(t){this.viewer=t,this._active=!1,this._controls=null,this._bound_on_controls_start=this._on_controls_start.bind(this),this._bound_on_controls_end=this._on_controls_end.bind(this),this._update_graph_node()}controls(){return this._controls}async create_controls(){var t;this.dispose_controls();this.viewer.canvas()&&(this._config=await(null===(t=this.viewer.cameraControlsController)||void 0===t?void 0:t.apply_controls(this.viewer)),this._config&&(this._controls=this._config.controls,this._controls&&(this.viewer.active()?(this._controls.addEventListener(\\\\\\\"start\\\\\\\",this._bound_on_controls_start),this._controls.addEventListener(\\\\\\\"end\\\\\\\",this._bound_on_controls_end)):this.dispose_controls())))}update(t){this._config&&this._controls&&this._config.updateRequired()&&this._controls.update(t)}dispose(){var t;null===(t=this._graph_node)||void 0===t||t.graphDisconnectPredecessors(),this.dispose_controls()}dispose_controls(){var t;if(this._controls){const e=this.viewer.canvas();e&&(null===(t=this.viewer)||void 0===t||t.cameraControlsController.dispose_controls(e)),this._bound_on_controls_start&&this._controls.removeEventListener(\\\\\\\"start\\\\\\\",this._bound_on_controls_start),this._bound_on_controls_end&&this._controls.removeEventListener(\\\\\\\"end\\\\\\\",this._bound_on_controls_end),this._controls.dispose(),this._controls=null}}_on_controls_start(){this._active=!0}_on_controls_end(){this._active=!1}_update_graph_node(){const t=this.viewer.cameraNode().p.controls;this._graph_node=this._graph_node||this._create_graph_node(),this._graph_node&&(this._graph_node.graphDisconnectPredecessors(),this._graph_node.addGraphInput(t))}_create_graph_node(){const t=new Mi(this.viewer.cameraNode().scene(),\\\\\\\"viewer-controls\\\\\\\");return t.addPostDirtyHook(\\\\\\\"this.viewer.controls_controller\\\\\\\",(async()=>{await this.create_controls()})),t}}class OH{constructor(t){this._viewer=t,this._size=new d.a(100,100),this._aspect=1}cameraNode(){return this._viewer.cameraNode()}get size(){return this._size}get aspect(){return this._aspect}computeSizeAndAspect(){this._updateSize(),this.cameraNode().scene().uniformsController.updateResolutionDependentUniformOwners(this._size),this._aspect=this._getAspect()}_updateSize(){this._size.x=this._viewer.domElement().offsetWidth,this._size.y=this._viewer.domElement().offsetHeight}_getAspect(){return this._size.x/this._size.y}updateCameraAspect(){this.cameraNode().setupForAspectRatio(this._aspect)}async prepareCurrentCamera(){await this.cameraNode().compute(),await this._updateFromCameraContainer()}async _updateFromCameraContainer(){var t;this.updateCameraAspect(),await(null===(t=this._viewer.controlsController)||void 0===t?void 0:t.create_controls())}}class PH{constructor(t){this.viewer=t}init(){const t=this.viewer.canvas();t&&(t.onwebglcontextlost=this._on_webglcontextlost.bind(this),t.onwebglcontextrestored=this._on_webglcontextrestored.bind(this))}_on_webglcontextlost(){console.warn(\\\\\\\"context lost at frame\\\\\\\",this.viewer.scene().frame()),this.request_animation_frame_id?cancelAnimationFrame(this.request_animation_frame_id):console.warn(\\\\\\\"request_animation_frame_id not initialized\\\\\\\"),console.warn(\\\\\\\"not canceled\\\\\\\",this.request_animation_frame_id)}_on_webglcontextrestored(){console.log(\\\\\\\"context restored\\\\\\\")}}const RH=\\\\\\\"hovered\\\\\\\";class IH{constructor(t,e,n){this._container=t,this._scene=e,this._camera_node=n,this._active=!1,this._id=IH._next_viewer_id++,this._scene.viewersRegister.registerViewer(this)}setRenderObjectOverride(t){console.log(\\\\\\\"setRenderObjectOverride\\\\\\\",t),this._renderObjectOverride=t||void 0}active(){return this._active}activate(){this._active=!0}deactivate(){this._active=!1}get camerasController(){return this._cameras_controller=this._cameras_controller||new OH(this)}get controlsController(){return this._controls_controller}get eventsController(){return this._events_controller=this._events_controller||new Wa(this)}get webglController(){return this._webgl_controller=this._webgl_controller||new PH(this)}domElement(){return this._container}scene(){return this._scene}canvas(){return this._canvas}cameraNode(){return this._camera_node}get cameraControlsController(){}id(){return this._id}dispose(){let t;for(this._scene.viewersRegister.unregisterViewer(this),this.eventsController.dispose();t=this._container.children[0];)this._container.removeChild(t)}resetContainerClass(){this.domElement().classList.remove(RH)}setContainerClassHovered(){this.domElement().classList.add(RH)}registerOnBeforeTick(t,e){this._registerCallback(t,e,this.registeredBeforeTickCallbacks())}unRegisterOnBeforeTick(t){this._unregisterCallback(t,this._onBeforeTickCallbacks)}registeredBeforeTickCallbacks(){return this._onBeforeTickCallbacks=this._onBeforeTickCallbacks||new Map}registerOnAfterTick(t,e){this._registerCallback(t,e,this.registeredAfterTickCallbacks())}unRegisterOnAfterTick(t){this._unregisterCallback(t,this._onAfterTickCallbacks)}registeredAfterTickCallbacks(){return this._onAfterTickCallbacks=this._onAfterTickCallbacks||new Map}registerOnBeforeRender(t,e){this._registerCallback(t,e,this.registeredBeforeRenderCallbacks())}unRegisterOnBeforeRender(t){this._unregisterCallback(t,this._onBeforeRenderCallbacks)}registeredBeforeRenderCallbacks(){return this._onBeforeRenderCallbacks=this._onBeforeRenderCallbacks||new Map}registerOnAfterRender(t,e){this._registerCallback(t,e,this.registeredAfterRenderCallbacks())}unRegisterOnAfterRender(t){this._unregisterCallback(t,this._onAfterRenderCallbacks)}registeredAfterRenderCallbacks(){return this._onAfterRenderCallbacks=this._onAfterRenderCallbacks||new Map}_registerCallback(t,e,n){n.has(t)?console.warn(`callback ${t} already registered`):n.set(t,e)}_unregisterCallback(t,e){e&&e.delete(t)}}IH._next_viewer_id=0;class FH extends IH{constructor(t,e,n,i){super(t,e,n),this._scene=e,this._camera_node=n,this._properties=i,this._do_render=!0,this._clock=new Dm,this._delta=0,this._animate_method=this.animate.bind(this),this._onResizeBound=this.onResize.bind(this),this._do_render=null==this._properties||this._properties.autoRender,this._canvas=document.createElement(\\\\\\\"canvas\\\\\\\"),this._canvas.id=`canvas_id_${Math.random()}`.replace(\\\\\\\".\\\\\\\",\\\\\\\"_\\\\\\\"),this._canvas.style.display=\\\\\\\"block\\\\\\\",this._canvas.style.outline=\\\\\\\"none\\\\\\\",this._container.appendChild(this._canvas),this._container.classList.add(\\\\\\\"CoreThreejsViewer\\\\\\\"),this._build(),this._setEvents()}get controlsController(){return this._controls_controller=this._controls_controller||new LH(this)}_build(){this._init_display(),this.activate()}dispose(){this._cancel_animate(),this.controlsController.dispose(),this._disposeEvents(),super.dispose()}get cameraControlsController(){return this._camera_node.controls_controller}_setEvents(){this.eventsController.init(),this.webglController.init(),window.addEventListener(\\\\\\\"resize\\\\\\\",this._onResizeBound.bind(this),!1)}_disposeEvents(){window.removeEventListener(\\\\\\\"resize\\\\\\\",this._onResizeBound.bind(this),!1)}onResize(){const t=this.canvas();t&&(this.camerasController.computeSizeAndAspect(),this._camera_node.renderController.set_renderer_size(t,this.camerasController.size),this.camerasController.updateCameraAspect())}_init_display(){if(!this._canvas)return void console.warn(\\\\\\\"no canvas found for viewer\\\\\\\");this.camerasController.computeSizeAndAspect();const t=this.camerasController.size;this._camera_node.renderController.createRenderer(this._canvas,t),this.camerasController.prepareCurrentCamera(),this.animate()}setAutoRender(t=!0){this._do_render=t,this._do_render&&this.animate()}animate(){var t,e,n;this._do_render&&(this._delta=this._clock.getDelta(),this._request_animation_frame_id=requestAnimationFrame(this._animate_method),null===(t=this._onBeforeTickCallbacks)||void 0===t||t.forEach((t=>t(this._delta))),this._scene.timeController.incrementTimeIfPlaying(this._delta),null===(e=this._onAfterTickCallbacks)||void 0===e||e.forEach((t=>t(this._delta))),this.render(this._delta),null===(n=this._controls_controller)||void 0===n||n.update(this._delta))}_cancel_animate(){this._do_render=!1,this._request_animation_frame_id&&cancelAnimationFrame(this._request_animation_frame_id),this._canvas&&this._camera_node.renderController.deleteRenderer(this._canvas)}render(t){var e,n;if(this.camerasController.cameraNode()&&this._canvas){null===(e=this._onBeforeRenderCallbacks)||void 0===e||e.forEach((e=>e(t)));const i=this.camerasController.size,s=this.camerasController.aspect;this._camera_node.renderController.render(this._canvas,i,s,this._renderObjectOverride),null===(n=this._onAfterRenderCallbacks)||void 0===n||n.forEach((e=>e(t)))}else console.warn(\\\\\\\"no camera to render with\\\\\\\")}renderer(){if(this._canvas)return this._camera_node.renderController.renderer(this._canvas)}}const DH={type:\\\\\\\"change\\\\\\\"},BH=1,zH=100;var kH;!function(t){t.ON_END=\\\\\\\"on move end\\\\\\\",t.ALWAYS=\\\\\\\"always\\\\\\\",t.NEVER=\\\\\\\"never\\\\\\\"}(kH||(kH={}));const UH=[kH.ON_END,kH.ALWAYS,kH.NEVER];function GH(t){return class extends t{constructor(){super(...arguments),this.setMainCamera=ha.BUTTON(null,{callback:(t,e)=>{YH.PARAM_CALLBACK_setMasterCamera(t)}})}}}function VH(t){return class extends t{constructor(){super(...arguments),this.camera=ha.FOLDER(),this.controls=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.EVENT}}),this.updateFromControlsMode=ha.INTEGER(UH.indexOf(kH.ON_END),{menu:{entries:UH.map(((t,e)=>({name:t,value:e})))}}),this.near=ha.FLOAT(BH,{range:[0,100],cook:!1,computeOnDirty:!0,callback:(t,e)=>{$H.PARAM_CALLBACK_update_near_far_from_param(t,e)}}),this.far=ha.FLOAT(zH,{range:[0,100],cook:!1,computeOnDirty:!0,callback:(t,e)=>{$H.PARAM_CALLBACK_update_near_far_from_param(t,e)}}),this.display=ha.BOOLEAN(1),this.showHelper=ha.BOOLEAN(0)}}}var HH;!function(t){t.DEFAULT=\\\\\\\"default\\\\\\\",t.COVER=\\\\\\\"cover\\\\\\\",t.CONTAIN=\\\\\\\"contain\\\\\\\"}(HH||(HH={}));const jH=[HH.DEFAULT,HH.COVER,HH.CONTAIN];function WH(t){return class extends t{constructor(){super(...arguments),this.fovAdjustMode=ha.INTEGER(jH.indexOf(HH.DEFAULT),{menu:{entries:jH.map(((t,e)=>({name:t,value:e})))}}),this.expectedAspectRatio=ha.FLOAT(\\\\\\\"16/9\\\\\\\",{visibleIf:[{fovAdjustMode:jH.indexOf(HH.COVER)},{fovAdjustMode:jH.indexOf(HH.CONTAIN)}],range:[0,2],rangeLocked:[!0,!1]})}}}GH(ua);KV(CH(wU($V(VH(GH(ua))))));class qH extends cU{constructor(){super(...arguments),this.renderOrder=lU.CAMERA,this._aspect=-1}get object(){return this._object}async cook(){this.updateCamera(),this._object.dispatchEvent(DH),this.cookController.endCook()}on_create(){}on_delete(){}prepareRaycaster(t,e){}camera(){return this._object}updateCamera(){}static PARAM_CALLBACK_setMasterCamera(t){t.set_as_master_camera()}set_as_master_camera(){this.scene().camerasController.setMainCameraNodePath(this.path())}setupForAspectRatio(t){}_updateForAspectRatio(){}update_transform_params_from_object(){bU.setParamsFromObject(this._object,this)}static PARAM_CALLBACK_update_from_param(t,e){t.object[e.name()]=t.pv[e.name()]}}class XH extends qH{constructor(){super(...arguments),this.flags=new Di(this),this.hierarchyController=new MU(this),this.transformController=new AU(this),this.childrenDisplayController=new kG(this),this.displayNodeController=new Fm(this,this.childrenDisplayController.displayNodeControllerCallbacks()),this._children_controller_context=ts.SOP}get controls_controller(){return this._controls_controller=this._controls_controller||new YV(this)}get layers_controller(){return this._layers_controller=this._layers_controller||new JV(this)}get renderController(){return this._render_controller=this._render_controller||new NH(this)}get postProcessController(){return this._post_process_controller=this._post_process_controller||new QV(this)}initializeBaseNode(){super.initializeBaseNode(),this.io.outputs.setHasOneOutput(),this.hierarchyController.initializeNode(),this.transformController.initializeNode(),this.childrenDisplayController.initializeNode(),this.initHelperHook()}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}prepareRaycaster(t,e){e.setFromCamera(t,this._object)}async cook(){this.transformController.update(),this.layers_controller.update(),this.updateNearFar(),this.renderController.update(),this.updateCamera(),this._updateHelper(),this.controls_controller.update_controls(),this._object.dispatchEvent(DH),this.cookController.endCook()}static PARAM_CALLBACK_update_near_far_from_param(t,e){t.updateNearFar()}updateNearFar(){this._object.near==this.pv.near&&this._object.far==this.pv.far||(this._object.near=this.pv.near,this._object.far=this.pv.far,this._object.updateProjectionMatrix(),this._updateHelper())}setupForAspectRatio(t){m.isNaN(t)||t&&this._aspect!=t&&(this._aspect=t,this._updateForAspectRatio())}createViewer(t,e){return new FH(t,this.scene(),this,e)}static PARAM_CALLBACK_reset_effects_composer(t){t.postProcessController.reset()}initHelperHook(){this.flags.display.onUpdate((()=>{this._updateHelper()}))}helperVisible(){return this.flags.display.active()&&this.pv.showHelper}_createHelper(){const t=new zU(this.object);return t.update(),t}_updateHelper(){this.helperVisible()?(this._helper||(this._helper=this._createHelper()),this._helper&&(this.object.add(this._helper),this._helper.update())):this._helper&&this.object.remove(this._helper)}}class YH extends qH{}class $H extends XH{PARAM_CALLBACK_update_effects_composer(t){}}const JH=-.5,ZH=.5,KH=.5,QH=-.5;class tj extends(KV(CH($V(GH(WH(function(t){return class extends t{constructor(){super(...arguments),this.size=ha.FLOAT(1)}}}(VH(wU(ua,{matrixAutoUpdate:!0}))))))))){}const ej=new tj;class nj extends XH{constructor(){super(...arguments),this.paramsConfig=ej}static type(){return is.ORTHOGRAPHIC}createObject(){return new ot.a(2*JH,2*ZH,2*KH,2*QH,BH,zH)}updateCamera(){this._updateForAspectRatio()}_updateForAspectRatio(){this._aspect&&(this._adjustFOVFromMode(),this._object.updateProjectionMatrix())}_adjustFOVFromMode(){const t=jH[this.pv.fovAdjustMode];switch(t){case HH.DEFAULT:return this._adjustFOVFromModeDefault();case HH.COVER:return this._adjustFOVFromModeCover();case HH.CONTAIN:return this._adjustFOVFromModeContain()}os.unreachable(t)}_adjustFOVFromModeDefault(){this._adjustFOVFromSize(this.pv.size||1)}_adjustFOVFromModeCover(){const t=this.pv.size||1;this._aspect>this.pv.expectedAspectRatio?this._adjustFOVFromSize(this.pv.expectedAspectRatio*t/this._aspect):this._adjustFOVFromSize(t)}_adjustFOVFromModeContain(){const t=this.pv.size||1;this._aspect>this.pv.expectedAspectRatio?this._adjustFOVFromSize(t):this._adjustFOVFromSize(this.pv.expectedAspectRatio*t/this._aspect)}_adjustFOVFromSize(t){const e=t*this._aspect;this._object.left=JH*e*1,this._object.right=ZH*e*1,this._object.top=KH*t*1,this._object.bottom=QH*t*1}}const ij=50;class sj extends(KV(CH($V(GH(WH(function(t){return class extends t{constructor(){super(...arguments),this.fov=ha.FLOAT(ij,{range:[0,100]})}}}(VH(wU(ua,{matrixAutoUpdate:!0}))))))))){}const rj=new sj;class oj extends XH{constructor(){super(...arguments),this.paramsConfig=rj}static type(){return is.PERSPECTIVE}createObject(){return new tt.a(ij,1,BH,zH)}updateCamera(){this._object.fov!=this.pv.fov&&(this._object.fov=this.pv.fov,this._object.updateProjectionMatrix()),this._updateForAspectRatio()}_updateForAspectRatio(){this._aspect&&(this._object.aspect=this._aspect,this._adjustFOVFromMode(),this._object.updateProjectionMatrix())}_adjustFOVFromMode(){const t=jH[this.pv.fovAdjustMode];switch(t){case HH.DEFAULT:return this._adjustFOVFromModeDefault();case HH.COVER:return this._adjustFOVFromModeCover();case HH.CONTAIN:return this._adjustFOVFromModeContain()}os.unreachable(t)}_adjustFOVFromModeDefault(){this._object.fov=this.pv.fov}_adjustFOVFromModeCover(){if(this._object.aspect>this.pv.expectedAspectRatio){const t=Math.tan(Object(On.e)(this.pv.fov/2))/(this._object.aspect/this.pv.expectedAspectRatio);this._object.fov=2*Object(On.k)(Math.atan(t))}else this._object.fov=this.pv.fov}_adjustFOVFromModeContain(){if(this._object.aspect>this.pv.expectedAspectRatio)this._object.fov=this.pv.fov;else{const t=Math.tan(Object(On.e)(this.pv.fov/2))/(this._object.aspect/this.pv.expectedAspectRatio);this._object.fov=2*Object(On.k)(Math.atan(t))}}}class aj extends(function(t){return class extends t{constructor(){super(...arguments),this.main=ha.FOLDER(),this.resolution=ha.INTEGER(256),this.excludedObjects=ha.STRING(\\\\\\\"*`$OS`\\\\\\\"),this.printResolve=ha.BUTTON(null,{callback:t=>{cj.PARAM_CALLBACK_printResolve(t)}}),this.near=ha.FLOAT(1),this.far=ha.FLOAT(100),this.render=ha.BUTTON(null,{callback:t=>{cj.PARAM_CALLBACK_render(t)}}),this.renderTarget=ha.FOLDER(),this.tencoding=ha.BOOLEAN(0),this.encoding=ha.INTEGER(w.ld,{visibleIf:{tencoding:1},menu:{entries:og.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))}}),this.tminFilter=ha.BOOLEAN(0),this.minFilter=ha.INTEGER(Km,{visibleIf:{tminFilter:1},menu:{entries:tf}}),this.tmagFilter=ha.BOOLEAN(0),this.magFilter=ha.INTEGER(Zm,{visibleIf:{tmagFilter:1},menu:{entries:Qm}})}}}(wU(ua))){}const lj=new aj;class cj extends cU{constructor(){super(...arguments),this.paramsConfig=lj,this.hierarchyController=new MU(this),this.transformController=new AU(this),this.flags=new Di(this),this._excludedObjects=[],this._previousVisibleStateByUuid=new Map,this._helper=new TG(1)}static type(){return Ig.CUBE_CAMERA}initializeNode(){this.hierarchyController.initializeNode(),this.transformController.initializeNode(),this._updateHelperHierarchy(),this._helper.matrixAutoUpdate=!1,this.flags.display.onUpdate((()=>{this._updateHelperHierarchy()})),this.io.inputs.setCount(0,1)}createObject(){const t=new Fn.a;return t.matrixAutoUpdate=!0,t}cook(){this.transformController.update(),this._resolveObjects();const t=this._setupCubeCamera();this._cubeCamera&&!t||this._createCubeCamera(),this.cookController.endCook()}_updateHelperHierarchy(){this.flags.display.active()?this.object.add(this._helper):this.object.remove(this._helper)}_setupCubeCamera(){let t=!1;if(this._cubeCamera){const e=this._cubeCamera.children[0],n=e.near,i=e.far,s=this._cubeCamera.renderTarget.width;n==this.pv.near&&i==this.pv.far&&s==this.pv.resolution||(t=!0),t&&this.object.remove(this._cubeCamera)}return t}_createCubeCamera(){const t=new st(this.pv.resolution,{encoding:this.pv.tencoding?this.pv.encoding:w.ld,minFilter:this.pv.tminFilter?this.pv.minFilter:void 0,magFilter:this.pv.tmagFilter?this.pv.magFilter:void 0});this._cubeCamera=new nt(this.pv.near,this.pv.far,t),this._cubeCamera.matrixAutoUpdate=!0,this.object.add(this._cubeCamera)}renderTarget(){if(this._cubeCamera)return this._cubeCamera.renderTarget}render(){const t=li.renderersController.firstRenderer();if(t)if(this._cubeCamera){for(let t of this._excludedObjects)this._previousVisibleStateByUuid.set(t.uuid,t.visible),t.visible=!1;this._cubeCamera.update(t,this.scene().threejsScene());for(let t of this._excludedObjects){const e=this._previousVisibleStateByUuid.get(t.uuid);e&&(t.visible=e)}this._previousVisibleStateByUuid.clear()}else console.warn(`no cubeCamera for ${this.path()}`);else console.warn(`no renderer found for ${this.path()}`)}_resolveObjects(){const t=this.scene().objectsByMask(this.pv.excludedObjects),e=new Map;for(let n of t)e.set(n.uuid,n);this._excludedObjects=[];for(let n of t){const t=n.parent;t&&(e.get(t.uuid)||this._excludedObjects.push(n))}}static PARAM_CALLBACK_printResolve(t){t.param_callback_printResolve()}param_callback_printResolve(){this._resolveObjects(),console.log(this._excludedObjects)}static PARAM_CALLBACK_render(t){t.param_callback_render()}param_callback_render(){this.render()}}class hj extends cU{constructor(){super(...arguments),this._attachableToHierarchy=!1}createObject(){const t=new Fn.a;return t.matrixAutoUpdate=!1,t}cook(){this.cookController.endCook()}}class uj extends hj{}class dj extends uj{constructor(){super(...arguments),this._children_controller_context=ts.ANIM}static type(){return es.ANIM}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class pj extends dj{constructor(){super(...arguments),this.renderOrder=lU.MANAGER}}class _j extends uj{constructor(){super(...arguments),this._children_controller_context=ts.COP}static type(){return es.COP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class mj extends uj{constructor(){super(...arguments),this.renderOrder=lU.MANAGER,this._children_controller_context=ts.EVENT}static type(){return es.EVENT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class fj extends uj{constructor(){super(...arguments),this.renderOrder=lU.MANAGER,this._children_controller_context=ts.MAT}static type(){return es.MAT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class gj extends hj{constructor(){super(...arguments),this.paramsConfig=new ef,this.effectsComposerController=new nf(this),this.displayNodeController=new Fm(this,this.effectsComposerController.displayNodeControllerCallbacks()),this._children_controller_context=ts.POST}static type(){return es.POST}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class vj extends uj{constructor(){super(...arguments),this.renderOrder=lU.MANAGER,this._children_controller_context=ts.ROP}static type(){return es.ROP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}const yj=[\\\\\\\"input pass\\\\\\\"];const xj={cook:!1,callback:function(t,e){bj.PARAM_CALLBACK_updatePasses(t)},computeOnDirty:!0};class bj extends aa{constructor(){super(...arguments),this.flags=new zi(this),this._passes_by_requester_id=new Map,this._update_pass_bound=this.updatePass.bind(this)}static context(){return ts.POST}static displayedInputNames(){return yj}initializeNode(){this.flags.display.set(!1),this.flags.display.onUpdate((()=>{if(this.flags.display.active()){const t=this.parent();t&&t.displayNodeController&&t.displayNodeController.setDisplayNode(this)}})),this.io.inputs.setCount(0,1),this.io.outputs.setHasOneOutput()}cook(){this.cookController.endCook()}setupComposer(t){if(this._addPassFromInput(0,t),!this.flags.bypass.active()){let e=this._passes_by_requester_id.get(t.requester.graphNodeId());e||(e=this._createPass(t),e&&this._passes_by_requester_id.set(t.requester.graphNodeId(),e)),e&&t.composer.addPass(e)}}_addPassFromInput(t,e){const n=this.io.inputs.input(t);n&&n.setupComposer(e)}_createPass(t){}static PARAM_CALLBACK_updatePasses(t){t._updatePasses()}_updatePasses(){this._passes_by_requester_id.forEach(this._update_pass_bound)}updatePass(t){}}const wj={uniforms:{tDiffuse:{value:null}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 texel = texture2D( tDiffuse, vUv );\\\\n\\\\n\\\\t\\\\t\\\\tfloat l = linearToRelativeLuminance( texel.rgb );\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4( l, l, l, texel.w );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};var Tj={uniforms:{tDiffuse:{value:null},averageLuminance:{value:1},luminanceMap:{value:null},maxLuminance:{value:16},minLuminance:{value:.01},middleGrey:{value:.6}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tuniform float middleGrey;\\\\n\\\\t\\\\tuniform float minLuminance;\\\\n\\\\t\\\\tuniform float maxLuminance;\\\\n\\\\t\\\\t#ifdef ADAPTED_LUMINANCE\\\\n\\\\t\\\\t\\\\tuniform sampler2D luminanceMap;\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\tuniform float averageLuminance;\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\tvec3 ToneMap( vec3 vColor ) {\\\\n\\\\t\\\\t\\\\t#ifdef ADAPTED_LUMINANCE\\\\n\\\\t\\\\t\\\\t\\\\t// Get the calculated average luminance\\\\n\\\\t\\\\t\\\\t\\\\tfloat fLumAvg = texture2D(luminanceMap, vec2(0.5, 0.5)).r;\\\\n\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\tfloat fLumAvg = averageLuminance;\\\\n\\\\t\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\t\\\\t// Calculate the luminance of the current pixel\\\\n\\\\t\\\\t\\\\tfloat fLumPixel = linearToRelativeLuminance( vColor );\\\\n\\\\n\\\\t\\\\t\\\\t// Apply the modified operator (Eq. 4)\\\\n\\\\t\\\\t\\\\tfloat fLumScaled = (fLumPixel * middleGrey) / max( minLuminance, fLumAvg );\\\\n\\\\n\\\\t\\\\t\\\\tfloat fLumCompressed = (fLumScaled * (1.0 + (fLumScaled / (maxLuminance * maxLuminance)))) / (1.0 + fLumScaled);\\\\n\\\\t\\\\t\\\\treturn fLumCompressed * vColor;\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 texel = texture2D( tDiffuse, vUv );\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4( ToneMap( texel.xyz ), texel.w );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};class Aj extends km{constructor(t,e){super(),this.resolution=void 0!==e?e:256,this.needsInit=!0,this.adaptive=void 0===t||!!t,this.luminanceRT=null,this.previousLuminanceRT=null,this.currentLuminanceRT=null,void 0===zm&&console.error(\\\\\\\"THREE.AdaptiveToneMappingPass relies on CopyShader\\\\\\\");const n=zm;this.copyUniforms=I.clone(n.uniforms),this.materialCopy=new F({uniforms:this.copyUniforms,vertexShader:n.vertexShader,fragmentShader:n.fragmentShader,blending:w.ub,depthTest:!1}),void 0===wj&&console.error(\\\\\\\"THREE.AdaptiveToneMappingPass relies on LuminosityShader\\\\\\\"),this.materialLuminance=new F({uniforms:I.clone(wj.uniforms),vertexShader:wj.vertexShader,fragmentShader:wj.fragmentShader,blending:w.ub}),this.adaptLuminanceShader={defines:{MIP_LEVEL_1X1:(Math.log(this.resolution)/Math.log(2)).toFixed(1)},uniforms:{lastLum:{value:null},currentLum:{value:null},minLuminance:{value:.01},delta:{value:.016},tau:{value:1}},vertexShader:\\\\\\\"varying vec2 vUv;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"varying vec2 vUv;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D lastLum;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D currentLum;\\\\n\\\\t\\\\t\\\\t\\\\tuniform float minLuminance;\\\\n\\\\t\\\\t\\\\t\\\\tuniform float delta;\\\\n\\\\t\\\\t\\\\t\\\\tuniform float tau;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 lastLum = texture2D( lastLum, vUv, MIP_LEVEL_1X1 );\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 currentLum = texture2D( currentLum, vUv, MIP_LEVEL_1X1 );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat fLastLum = max( minLuminance, lastLum.r );\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat fCurrentLum = max( minLuminance, currentLum.r );\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t//The adaption seems to work better in extreme lighting differences\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t//if the input luminance is squared.\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfCurrentLum *= fCurrentLum;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t// Adapt the luminance using Pattanaik's technique\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat fAdaptedLum = fLastLum + (fCurrentLum - fLastLum) * (1.0 - exp(-delta * tau));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t// \\\\\\\\\\\"fAdaptedLum = sqrt(fAdaptedLum);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor.r = fAdaptedLum;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\"},this.materialAdaptiveLum=new F({uniforms:I.clone(this.adaptLuminanceShader.uniforms),vertexShader:this.adaptLuminanceShader.vertexShader,fragmentShader:this.adaptLuminanceShader.fragmentShader,defines:Object.assign({},this.adaptLuminanceShader.defines),blending:w.ub}),void 0===Tj&&console.error(\\\\\\\"THREE.AdaptiveToneMappingPass relies on ToneMapShader\\\\\\\"),this.materialToneMap=new F({uniforms:I.clone(Tj.uniforms),vertexShader:Tj.vertexShader,fragmentShader:Tj.fragmentShader,blending:w.ub}),this.fsQuad=new Vm(null)}render(t,e,n,i){this.needsInit&&(this.reset(t),this.luminanceRT.texture.type=n.texture.type,this.previousLuminanceRT.texture.type=n.texture.type,this.currentLuminanceRT.texture.type=n.texture.type,this.needsInit=!1),this.adaptive&&(this.fsQuad.material=this.materialLuminance,this.materialLuminance.uniforms.tDiffuse.value=n.texture,t.setRenderTarget(this.currentLuminanceRT),this.fsQuad.render(t),this.fsQuad.material=this.materialAdaptiveLum,this.materialAdaptiveLum.uniforms.delta.value=i,this.materialAdaptiveLum.uniforms.lastLum.value=this.previousLuminanceRT.texture,this.materialAdaptiveLum.uniforms.currentLum.value=this.currentLuminanceRT.texture,t.setRenderTarget(this.luminanceRT),this.fsQuad.render(t),this.fsQuad.material=this.materialCopy,this.copyUniforms.tDiffuse.value=this.luminanceRT.texture,t.setRenderTarget(this.previousLuminanceRT),this.fsQuad.render(t)),this.fsQuad.material=this.materialToneMap,this.materialToneMap.uniforms.tDiffuse.value=n.texture,this.renderToScreen?(t.setRenderTarget(null),this.fsQuad.render(t)):(t.setRenderTarget(e),this.clear&&t.clear(),this.fsQuad.render(t))}reset(){this.luminanceRT&&this.luminanceRT.dispose(),this.currentLuminanceRT&&this.currentLuminanceRT.dispose(),this.previousLuminanceRT&&this.previousLuminanceRT.dispose();const t={minFilter:w.V,magFilter:w.V,format:w.Ib};this.luminanceRT=new K(this.resolution,this.resolution,t),this.luminanceRT.texture.name=\\\\\\\"AdaptiveToneMappingPass.l\\\\\\\",this.luminanceRT.texture.generateMipmaps=!1,this.previousLuminanceRT=new K(this.resolution,this.resolution,t),this.previousLuminanceRT.texture.name=\\\\\\\"AdaptiveToneMappingPass.pl\\\\\\\",this.previousLuminanceRT.texture.generateMipmaps=!1,t.minFilter=w.Y,t.generateMipmaps=!0,this.currentLuminanceRT=new K(this.resolution,this.resolution,t),this.currentLuminanceRT.texture.name=\\\\\\\"AdaptiveToneMappingPass.cl\\\\\\\",this.adaptive&&(this.materialToneMap.defines.ADAPTED_LUMINANCE=\\\\\\\"\\\\\\\",this.materialToneMap.uniforms.luminanceMap.value=this.luminanceRT.texture),this.fsQuad.material=new lt.a({color:7829367}),this.materialLuminance.needsUpdate=!0,this.materialAdaptiveLum.needsUpdate=!0,this.materialToneMap.needsUpdate=!0}setAdaptive(t){t?(this.adaptive=!0,this.materialToneMap.defines.ADAPTED_LUMINANCE=\\\\\\\"\\\\\\\",this.materialToneMap.uniforms.luminanceMap.value=this.luminanceRT.texture):(this.adaptive=!1,delete this.materialToneMap.defines.ADAPTED_LUMINANCE,this.materialToneMap.uniforms.luminanceMap.value=null),this.materialToneMap.needsUpdate=!0}setAdaptionRate(t){t&&(this.materialAdaptiveLum.uniforms.tau.value=Math.abs(t))}setMinLuminance(t){t&&(this.materialToneMap.uniforms.minLuminance.value=t,this.materialAdaptiveLum.uniforms.minLuminance.value=t)}setMaxLuminance(t){t&&(this.materialToneMap.uniforms.maxLuminance.value=t)}setAverageLuminance(t){t&&(this.materialToneMap.uniforms.averageLuminance.value=t)}setMiddleGrey(t){t&&(this.materialToneMap.uniforms.middleGrey.value=t)}dispose(){this.luminanceRT&&this.luminanceRT.dispose(),this.previousLuminanceRT&&this.previousLuminanceRT.dispose(),this.currentLuminanceRT&&this.currentLuminanceRT.dispose(),this.materialLuminance&&this.materialLuminance.dispose(),this.materialAdaptiveLum&&this.materialAdaptiveLum.dispose(),this.materialCopy&&this.materialCopy.dispose(),this.materialToneMap&&this.materialToneMap.dispose()}}const Mj=new class extends ua{constructor(){super(...arguments),this.adaptive=ha.BOOLEAN(1,{...xj}),this.averageLuminance=ha.FLOAT(.7,{...xj}),this.midGrey=ha.FLOAT(.04,{...xj}),this.maxLuminance=ha.FLOAT(16,{range:[0,20],...xj}),this.adaptiveRange=ha.FLOAT(2,{range:[0,10],...xj})}};class Ej extends bj{constructor(){super(...arguments),this.paramsConfig=Mj}static type(){return\\\\\\\"adaptiveToneMapping\\\\\\\"}_createPass(t){const e=new Aj(this.pv.adaptive,t.resolution.x);return this.updatePass(e),e}updatePass(t){t.setMaxLuminance(this.pv.maxLuminance),t.setMiddleGrey(this.pv.midGrey),t.setAverageLuminance(this.pv.averageLuminance)}}const Sj={uniforms:{damp:{value:.96},tOld:{value:null},tNew:{value:null}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform float damp;\\\\n\\\\n\\\\t\\\\tuniform sampler2D tOld;\\\\n\\\\t\\\\tuniform sampler2D tNew;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvec4 when_gt( vec4 x, float y ) {\\\\n\\\\n\\\\t\\\\t\\\\treturn max( sign( x - y ), 0.0 );\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 texelOld = texture2D( tOld, vUv );\\\\n\\\\t\\\\t\\\\tvec4 texelNew = texture2D( tNew, vUv );\\\\n\\\\n\\\\t\\\\t\\\\ttexelOld *= damp * when_gt( texelOld, 0.1 );\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = max(texelNew, texelOld);\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};class Cj extends km{constructor(t=.96){super(),void 0===Sj&&console.error(\\\\\\\"THREE.AfterimagePass relies on AfterimageShader\\\\\\\"),this.shader=Sj,this.uniforms=I.clone(this.shader.uniforms),this.uniforms.damp.value=t,this.textureComp=new K(window.innerWidth,window.innerHeight,{minFilter:w.V,magFilter:w.ob,format:w.Ib}),this.textureOld=new K(window.innerWidth,window.innerHeight,{minFilter:w.V,magFilter:w.ob,format:w.Ib}),this.shaderMaterial=new F({uniforms:this.uniforms,vertexShader:this.shader.vertexShader,fragmentShader:this.shader.fragmentShader}),this.compFsQuad=new Vm(this.shaderMaterial);const e=new lt.a;this.copyFsQuad=new Vm(e)}render(t,e,n){this.uniforms.tOld.value=this.textureOld.texture,this.uniforms.tNew.value=n.texture,t.setRenderTarget(this.textureComp),this.compFsQuad.render(t),this.copyFsQuad.material.map=this.textureComp.texture,this.renderToScreen?(t.setRenderTarget(null),this.copyFsQuad.render(t)):(t.setRenderTarget(e),this.clear&&t.clear(),this.copyFsQuad.render(t));const i=this.textureOld;this.textureOld=this.textureComp,this.textureComp=i}setSize(t,e){this.textureComp.setSize(t,e),this.textureOld.setSize(t,e)}}const Nj=new class extends ua{constructor(){super(...arguments),this.damp=ha.FLOAT(.96,{range:[0,1],rangeLocked:[!0,!0],...xj})}};class Lj extends bj{constructor(){super(...arguments),this.paramsConfig=Nj}static type(){return\\\\\\\"afterImage\\\\\\\"}_createPass(t){const e=new Cj;return this.updatePass(e),e}updatePass(t){t.uniforms.damp.value=this.pv.damp}}const Oj={uniforms:{tDiffuse:{value:null},opacity:{value:1}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform float opacity;\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 base = texture2D( tDiffuse, vUv );\\\\n\\\\n\\\\t\\\\t\\\\tvec3 lumCoeff = vec3( 0.25, 0.65, 0.1 );\\\\n\\\\t\\\\t\\\\tfloat lum = dot( lumCoeff, base.rgb );\\\\n\\\\t\\\\t\\\\tvec3 blend = vec3( lum );\\\\n\\\\n\\\\t\\\\t\\\\tfloat L = min( 1.0, max( 0.0, 10.0 * ( lum - 0.45 ) ) );\\\\n\\\\n\\\\t\\\\t\\\\tvec3 result1 = 2.0 * base.rgb * blend;\\\\n\\\\t\\\\t\\\\tvec3 result2 = 1.0 - 2.0 * ( 1.0 - blend ) * ( 1.0 - base.rgb );\\\\n\\\\n\\\\t\\\\t\\\\tvec3 newColor = mix( result1, result2, L );\\\\n\\\\n\\\\t\\\\t\\\\tfloat A2 = opacity * base.a;\\\\n\\\\t\\\\t\\\\tvec3 mixRGB = A2 * newColor.rgb;\\\\n\\\\t\\\\t\\\\tmixRGB += ( ( 1.0 - A2 ) * base.rgb );\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4( mixRGB, base.a );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const Pj=new class extends ua{constructor(){super(...arguments),this.opacity=ha.FLOAT(.95,{range:[-5,5],rangeLocked:[!0,!0],...xj})}};class Rj extends bj{constructor(){super(...arguments),this.paramsConfig=Pj}static type(){return\\\\\\\"bleach\\\\\\\"}_createPass(t){const e=new Hm(Oj);return this.updatePass(e),e}updatePass(t){t.uniforms.opacity.value=this.pv.opacity}}const Ij={uniforms:{tDiffuse:{value:null},brightness:{value:0},contrast:{value:0}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\t\\\\tuniform float brightness;\\\\n\\\\t\\\\tuniform float contrast;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = texture2D( tDiffuse, vUv );\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor.rgb += brightness;\\\\n\\\\n\\\\t\\\\t\\\\tif (contrast > 0.0) {\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb = (gl_FragColor.rgb - 0.5) / (1.0 - contrast) + 0.5;\\\\n\\\\t\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\t\\\\tgl_FragColor.rgb = (gl_FragColor.rgb - 0.5) * (1.0 + contrast) + 0.5;\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const Fj=new class extends ua{constructor(){super(...arguments),this.brightness=ha.FLOAT(0,{range:[-1,1],rangeLocked:[!1,!1],...xj}),this.contrast=ha.FLOAT(0,{range:[-1,1],rangeLocked:[!1,!1],...xj}),this.transparent=ha.BOOLEAN(1,xj)}};class Dj extends bj{constructor(){super(...arguments),this.paramsConfig=Fj}static type(){return\\\\\\\"brightnessContrast\\\\\\\"}_createPass(t){const e=new Hm(Ij);return e.fsQuad.material.transparent=!0,this.updatePass(e),e}updatePass(t){t.uniforms.brightness.value=this.pv.brightness,t.uniforms.contrast.value=this.pv.contrast,t.material.transparent=this.pv.transparent}}class Bj extends km{constructor(t,e){super(),this.needsSwap=!1,this.clearColor=void 0!==t?t:0,this.clearAlpha=void 0!==e?e:0,this._oldClearColor=new D.a}render(t,e,n){let i;this.clearColor&&(t.getClearColor(this._oldClearColor),i=t.getClearAlpha(),t.setClearColor(this.clearColor,this.clearAlpha)),t.setRenderTarget(this.renderToScreen?null:n),t.clear(),this.clearColor&&t.setClearColor(this._oldClearColor,i)}}const zj=new class extends ua{};class kj extends bj{constructor(){super(...arguments),this.paramsConfig=zj}static type(){return\\\\\\\"clear\\\\\\\"}_createPass(t){const e=new Bj;return this.updatePass(e),e}updatePass(t){}}const Uj=new class extends ua{};class Gj extends bj{constructor(){super(...arguments),this.paramsConfig=Uj}static type(){return\\\\\\\"clearMask\\\\\\\"}_createPass(t){const e=new Wm;return this.updatePass(e),e}updatePass(t){}}const Vj={uniforms:{tDiffuse:{value:null},powRGB:{value:new p.a(2,2,2)},mulRGB:{value:new p.a(1,1,1)},addRGB:{value:new p.a(0,0,0)}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\t\\\\tuniform vec3 powRGB;\\\\n\\\\t\\\\tuniform vec3 mulRGB;\\\\n\\\\t\\\\tuniform vec3 addRGB;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = texture2D( tDiffuse, vUv );\\\\n\\\\t\\\\t\\\\tgl_FragColor.rgb = mulRGB * pow( ( gl_FragColor.rgb + addRGB ), powRGB );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const Hj=new class extends ua{constructor(){super(...arguments),this.pow=ha.VECTOR3([2,2,2],{...xj}),this.mult=ha.COLOR([1,1,1],{...xj}),this.add=ha.COLOR([0,0,0],{...xj})}};class jj extends bj{constructor(){super(...arguments),this.paramsConfig=Hj}static type(){return\\\\\\\"colorCorrection\\\\\\\"}_createPass(t){const e=new Hm(Vj);return this.updatePass(e),e}updatePass(t){t.uniforms.powRGB.value.copy(this.pv.pow),t.uniforms.mulRGB.value.set(this.pv.mult.r,this.pv.mult.g,this.pv.mult.b),t.uniforms.addRGB.value.set(this.pv.add.r,this.pv.add.g,this.pv.add.b)}}const Wj=new class extends ua{constructor(){super(...arguments),this.opacity=ha.FLOAT(1,{range:[0,1],rangeLocked:[!0,!0],...xj}),this.transparent=ha.BOOLEAN(1,xj)}};class qj extends bj{constructor(){super(...arguments),this.paramsConfig=Wj}static type(){return\\\\\\\"copy\\\\\\\"}_createPass(t){const e=new Hm(zm);return this.updatePass(e),e}updatePass(t){t.uniforms.opacity.value=this.pv.opacity,t.material.transparent=this.pv.transparent}}const Xj={uniforms:{textureWidth:{value:1},textureHeight:{value:1},focalDepth:{value:1},focalLength:{value:24},fstop:{value:.9},tColor:{value:null},tDepth:{value:null},maxblur:{value:1},showFocus:{value:0},manualdof:{value:0},vignetting:{value:0},depthblur:{value:0},threshold:{value:.5},gain:{value:2},bias:{value:.5},fringe:{value:.7},znear:{value:.1},zfar:{value:100},noise:{value:1},dithering:{value:1e-4},pentagon:{value:0},shaderFocus:{value:1},focusCoords:{value:new d.a}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tuniform sampler2D tColor;\\\\n\\\\t\\\\tuniform sampler2D tDepth;\\\\n\\\\t\\\\tuniform float textureWidth;\\\\n\\\\t\\\\tuniform float textureHeight;\\\\n\\\\n\\\\t\\\\tuniform float focalDepth; //focal distance value in meters, but you may use autofocus option below\\\\n\\\\t\\\\tuniform float focalLength; //focal length in mm\\\\n\\\\t\\\\tuniform float fstop; //f-stop value\\\\n\\\\t\\\\tuniform bool showFocus; //show debug focus point and focal range (red = focal point, green = focal range)\\\\n\\\\n\\\\t\\\\t/*\\\\n\\\\t\\\\tmake sure that these two values are the same for your camera, otherwise distances will be wrong.\\\\n\\\\t\\\\t*/\\\\n\\\\n\\\\t\\\\tuniform float znear; // camera clipping start\\\\n\\\\t\\\\tuniform float zfar; // camera clipping end\\\\n\\\\n\\\\t\\\\t//------------------------------------------\\\\n\\\\t\\\\t//user variables\\\\n\\\\n\\\\t\\\\tconst int samples = SAMPLES; //samples on the first ring\\\\n\\\\t\\\\tconst int rings = RINGS; //ring count\\\\n\\\\n\\\\t\\\\tconst int maxringsamples = rings * samples;\\\\n\\\\n\\\\t\\\\tuniform bool manualdof; // manual dof calculation\\\\n\\\\t\\\\tfloat ndofstart = 1.0; // near dof blur start\\\\n\\\\t\\\\tfloat ndofdist = 2.0; // near dof blur falloff distance\\\\n\\\\t\\\\tfloat fdofstart = 1.0; // far dof blur start\\\\n\\\\t\\\\tfloat fdofdist = 3.0; // far dof blur falloff distance\\\\n\\\\n\\\\t\\\\tfloat CoC = 0.03; //circle of confusion size in mm (35mm film = 0.03mm)\\\\n\\\\n\\\\t\\\\tuniform bool vignetting; // use optical lens vignetting\\\\n\\\\n\\\\t\\\\tfloat vignout = 1.3; // vignetting outer border\\\\n\\\\t\\\\tfloat vignin = 0.0; // vignetting inner border\\\\n\\\\t\\\\tfloat vignfade = 22.0; // f-stops till vignete fades\\\\n\\\\n\\\\t\\\\tuniform bool shaderFocus;\\\\n\\\\t\\\\t// disable if you use external focalDepth value\\\\n\\\\n\\\\t\\\\tuniform vec2 focusCoords;\\\\n\\\\t\\\\t// autofocus point on screen (0.0,0.0 - left lower corner, 1.0,1.0 - upper right)\\\\n\\\\t\\\\t// if center of screen use vec2(0.5, 0.5);\\\\n\\\\n\\\\t\\\\tuniform float maxblur;\\\\n\\\\t\\\\t//clamp value of max blur (0.0 = no blur, 1.0 default)\\\\n\\\\n\\\\t\\\\tuniform float threshold; // highlight threshold;\\\\n\\\\t\\\\tuniform float gain; // highlight gain;\\\\n\\\\n\\\\t\\\\tuniform float bias; // bokeh edge bias\\\\n\\\\t\\\\tuniform float fringe; // bokeh chromatic aberration / fringing\\\\n\\\\n\\\\t\\\\tuniform bool noise; //use noise instead of pattern for sample dithering\\\\n\\\\n\\\\t\\\\tuniform float dithering;\\\\n\\\\n\\\\t\\\\tuniform bool depthblur; // blur the depth buffer\\\\n\\\\t\\\\tfloat dbsize = 1.25; // depth blur size\\\\n\\\\n\\\\t\\\\t/*\\\\n\\\\t\\\\tnext part is experimental\\\\n\\\\t\\\\tnot looking good with small sample and ring count\\\\n\\\\t\\\\tlooks okay starting from samples = 4, rings = 4\\\\n\\\\t\\\\t*/\\\\n\\\\n\\\\t\\\\tuniform bool pentagon; //use pentagon as bokeh shape?\\\\n\\\\t\\\\tfloat feather = 0.4; //pentagon shape feather\\\\n\\\\n\\\\t\\\\t//------------------------------------------\\\\n\\\\n\\\\t\\\\tfloat penta(vec2 coords) {\\\\n\\\\t\\\\t\\\\t//pentagonal shape\\\\n\\\\t\\\\t\\\\tfloat scale = float(rings) - 1.3;\\\\n\\\\t\\\\t\\\\tvec4 HS0 = vec4( 1.0, 0.0, 0.0, 1.0);\\\\n\\\\t\\\\t\\\\tvec4 HS1 = vec4( 0.309016994, 0.951056516, 0.0, 1.0);\\\\n\\\\t\\\\t\\\\tvec4 HS2 = vec4(-0.809016994, 0.587785252, 0.0, 1.0);\\\\n\\\\t\\\\t\\\\tvec4 HS3 = vec4(-0.809016994,-0.587785252, 0.0, 1.0);\\\\n\\\\t\\\\t\\\\tvec4 HS4 = vec4( 0.309016994,-0.951056516, 0.0, 1.0);\\\\n\\\\t\\\\t\\\\tvec4 HS5 = vec4( 0.0 ,0.0 , 1.0, 1.0);\\\\n\\\\n\\\\t\\\\t\\\\tvec4 one = vec4( 1.0 );\\\\n\\\\n\\\\t\\\\t\\\\tvec4 P = vec4((coords),vec2(scale, scale));\\\\n\\\\n\\\\t\\\\t\\\\tvec4 dist = vec4(0.0);\\\\n\\\\t\\\\t\\\\tfloat inorout = -4.0;\\\\n\\\\n\\\\t\\\\t\\\\tdist.x = dot( P, HS0 );\\\\n\\\\t\\\\t\\\\tdist.y = dot( P, HS1 );\\\\n\\\\t\\\\t\\\\tdist.z = dot( P, HS2 );\\\\n\\\\t\\\\t\\\\tdist.w = dot( P, HS3 );\\\\n\\\\n\\\\t\\\\t\\\\tdist = smoothstep( -feather, feather, dist );\\\\n\\\\n\\\\t\\\\t\\\\tinorout += dot( dist, one );\\\\n\\\\n\\\\t\\\\t\\\\tdist.x = dot( P, HS4 );\\\\n\\\\t\\\\t\\\\tdist.y = HS5.w - abs( P.z );\\\\n\\\\n\\\\t\\\\t\\\\tdist = smoothstep( -feather, feather, dist );\\\\n\\\\t\\\\t\\\\tinorout += dist.x;\\\\n\\\\n\\\\t\\\\t\\\\treturn clamp( inorout, 0.0, 1.0 );\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tfloat bdepth(vec2 coords) {\\\\n\\\\t\\\\t\\\\t// Depth buffer blur\\\\n\\\\t\\\\t\\\\tfloat d = 0.0;\\\\n\\\\t\\\\t\\\\tfloat kernel[9];\\\\n\\\\t\\\\t\\\\tvec2 offset[9];\\\\n\\\\n\\\\t\\\\t\\\\tvec2 wh = vec2(1.0/textureWidth,1.0/textureHeight) * dbsize;\\\\n\\\\n\\\\t\\\\t\\\\toffset[0] = vec2(-wh.x,-wh.y);\\\\n\\\\t\\\\t\\\\toffset[1] = vec2( 0.0, -wh.y);\\\\n\\\\t\\\\t\\\\toffset[2] = vec2( wh.x -wh.y);\\\\n\\\\n\\\\t\\\\t\\\\toffset[3] = vec2(-wh.x, 0.0);\\\\n\\\\t\\\\t\\\\toffset[4] = vec2( 0.0, 0.0);\\\\n\\\\t\\\\t\\\\toffset[5] = vec2( wh.x, 0.0);\\\\n\\\\n\\\\t\\\\t\\\\toffset[6] = vec2(-wh.x, wh.y);\\\\n\\\\t\\\\t\\\\toffset[7] = vec2( 0.0, wh.y);\\\\n\\\\t\\\\t\\\\toffset[8] = vec2( wh.x, wh.y);\\\\n\\\\n\\\\t\\\\t\\\\tkernel[0] = 1.0/16.0; kernel[1] = 2.0/16.0; kernel[2] = 1.0/16.0;\\\\n\\\\t\\\\t\\\\tkernel[3] = 2.0/16.0; kernel[4] = 4.0/16.0; kernel[5] = 2.0/16.0;\\\\n\\\\t\\\\t\\\\tkernel[6] = 1.0/16.0; kernel[7] = 2.0/16.0; kernel[8] = 1.0/16.0;\\\\n\\\\n\\\\n\\\\t\\\\t\\\\tfor( int i=0; i<9; i++ ) {\\\\n\\\\t\\\\t\\\\t\\\\tfloat tmp = texture2D(tDepth, coords + offset[i]).r;\\\\n\\\\t\\\\t\\\\t\\\\td += tmp * kernel[i];\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\treturn d;\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\n\\\\t\\\\tvec3 color(vec2 coords,float blur) {\\\\n\\\\t\\\\t\\\\t//processing the sample\\\\n\\\\n\\\\t\\\\t\\\\tvec3 col = vec3(0.0);\\\\n\\\\t\\\\t\\\\tvec2 texel = vec2(1.0/textureWidth,1.0/textureHeight);\\\\n\\\\n\\\\t\\\\t\\\\tcol.r = texture2D(tColor,coords + vec2(0.0,1.0)*texel*fringe*blur).r;\\\\n\\\\t\\\\t\\\\tcol.g = texture2D(tColor,coords + vec2(-0.866,-0.5)*texel*fringe*blur).g;\\\\n\\\\t\\\\t\\\\tcol.b = texture2D(tColor,coords + vec2(0.866,-0.5)*texel*fringe*blur).b;\\\\n\\\\n\\\\t\\\\t\\\\tvec3 lumcoeff = vec3(0.299,0.587,0.114);\\\\n\\\\t\\\\t\\\\tfloat lum = dot(col.rgb, lumcoeff);\\\\n\\\\t\\\\t\\\\tfloat thresh = max((lum-threshold)*gain, 0.0);\\\\n\\\\t\\\\t\\\\treturn col+mix(vec3(0.0),col,thresh*blur);\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvec3 debugFocus(vec3 col, float blur, float depth) {\\\\n\\\\t\\\\t\\\\tfloat edge = 0.002*depth; //distance based edge smoothing\\\\n\\\\t\\\\t\\\\tfloat m = clamp(smoothstep(0.0,edge,blur),0.0,1.0);\\\\n\\\\t\\\\t\\\\tfloat e = clamp(smoothstep(1.0-edge,1.0,blur),0.0,1.0);\\\\n\\\\n\\\\t\\\\t\\\\tcol = mix(col,vec3(1.0,0.5,0.0),(1.0-m)*0.6);\\\\n\\\\t\\\\t\\\\tcol = mix(col,vec3(0.0,0.5,1.0),((1.0-e)-(1.0-m))*0.2);\\\\n\\\\n\\\\t\\\\t\\\\treturn col;\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tfloat linearize(float depth) {\\\\n\\\\t\\\\t\\\\treturn -zfar * znear / (depth * (zfar - znear) - zfar);\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tfloat vignette() {\\\\n\\\\t\\\\t\\\\tfloat dist = distance(vUv.xy, vec2(0.5,0.5));\\\\n\\\\t\\\\t\\\\tdist = smoothstep(vignout+(fstop/vignfade), vignin+(fstop/vignfade), dist);\\\\n\\\\t\\\\t\\\\treturn clamp(dist,0.0,1.0);\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tfloat gather(float i, float j, int ringsamples, inout vec3 col, float w, float h, float blur) {\\\\n\\\\t\\\\t\\\\tfloat rings2 = float(rings);\\\\n\\\\t\\\\t\\\\tfloat step = PI*2.0 / float(ringsamples);\\\\n\\\\t\\\\t\\\\tfloat pw = cos(j*step)*i;\\\\n\\\\t\\\\t\\\\tfloat ph = sin(j*step)*i;\\\\n\\\\t\\\\t\\\\tfloat p = 1.0;\\\\n\\\\t\\\\t\\\\tif (pentagon) {\\\\n\\\\t\\\\t\\\\t\\\\tp = penta(vec2(pw,ph));\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\tcol += color(vUv.xy + vec2(pw*w,ph*h), blur) * mix(1.0, i/rings2, bias) * p;\\\\n\\\\t\\\\t\\\\treturn 1.0 * mix(1.0, i /rings2, bias) * p;\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t//scene depth calculation\\\\n\\\\n\\\\t\\\\t\\\\tfloat depth = linearize(texture2D(tDepth,vUv.xy).x);\\\\n\\\\n\\\\t\\\\t\\\\t// Blur depth?\\\\n\\\\t\\\\t\\\\tif ( depthblur ) {\\\\n\\\\t\\\\t\\\\t\\\\tdepth = linearize(bdepth(vUv.xy));\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t//focal plane calculation\\\\n\\\\n\\\\t\\\\t\\\\tfloat fDepth = focalDepth;\\\\n\\\\n\\\\t\\\\t\\\\tif (shaderFocus) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfDepth = linearize(texture2D(tDepth,focusCoords).x);\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t// dof blur factor calculation\\\\n\\\\n\\\\t\\\\t\\\\tfloat blur = 0.0;\\\\n\\\\n\\\\t\\\\t\\\\tif (manualdof) {\\\\n\\\\t\\\\t\\\\t\\\\tfloat a = depth-fDepth; // Focal plane\\\\n\\\\t\\\\t\\\\t\\\\tfloat b = (a-fdofstart)/fdofdist; // Far DoF\\\\n\\\\t\\\\t\\\\t\\\\tfloat c = (-a-ndofstart)/ndofdist; // Near Dof\\\\n\\\\t\\\\t\\\\t\\\\tblur = (a>0.0) ? b : c;\\\\n\\\\t\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\t\\\\tfloat f = focalLength; // focal length in mm\\\\n\\\\t\\\\t\\\\t\\\\tfloat d = fDepth*1000.0; // focal plane in mm\\\\n\\\\t\\\\t\\\\t\\\\tfloat o = depth*1000.0; // depth in mm\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfloat a = (o*f)/(o-f);\\\\n\\\\t\\\\t\\\\t\\\\tfloat b = (d*f)/(d-f);\\\\n\\\\t\\\\t\\\\t\\\\tfloat c = (d-f)/(d*fstop*CoC);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tblur = abs(a-b)*c;\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\tblur = clamp(blur,0.0,1.0);\\\\n\\\\n\\\\t\\\\t\\\\t// calculation of pattern for dithering\\\\n\\\\n\\\\t\\\\t\\\\tvec2 noise = vec2(rand(vUv.xy), rand( vUv.xy + vec2( 0.4, 0.6 ) ) )*dithering*blur;\\\\n\\\\n\\\\t\\\\t\\\\t// getting blur x and y step factor\\\\n\\\\n\\\\t\\\\t\\\\tfloat w = (1.0/textureWidth)*blur*maxblur+noise.x;\\\\n\\\\t\\\\t\\\\tfloat h = (1.0/textureHeight)*blur*maxblur+noise.y;\\\\n\\\\n\\\\t\\\\t\\\\t// calculation of final color\\\\n\\\\n\\\\t\\\\t\\\\tvec3 col = vec3(0.0);\\\\n\\\\n\\\\t\\\\t\\\\tif(blur < 0.05) {\\\\n\\\\t\\\\t\\\\t\\\\t//some optimization thingy\\\\n\\\\t\\\\t\\\\t\\\\tcol = texture2D(tColor, vUv.xy).rgb;\\\\n\\\\t\\\\t\\\\t} else {\\\\n\\\\t\\\\t\\\\t\\\\tcol = texture2D(tColor, vUv.xy).rgb;\\\\n\\\\t\\\\t\\\\t\\\\tfloat s = 1.0;\\\\n\\\\t\\\\t\\\\t\\\\tint ringsamples;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfor (int i = 1; i <= rings; i++) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t/*unboxstart*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tringsamples = i * samples;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfor (int j = 0 ; j < maxringsamples ; j++) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif (j >= ringsamples) break;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\ts += gather(float(i), float(j), ringsamples, col, w, h, blur);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t/*unboxend*/\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tcol /= s; //divide by sample count\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\tif (showFocus) {\\\\n\\\\t\\\\t\\\\t\\\\tcol = debugFocus(col, blur, depth);\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\tif (vignetting) {\\\\n\\\\t\\\\t\\\\t\\\\tcol *= vignette();\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor.rgb = col;\\\\n\\\\t\\\\t\\\\tgl_FragColor.a = 1.0;\\\\n\\\\t\\\\t}\\\\\\\"},Yj={uniforms:{mNear:{value:1},mFar:{value:1e3}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying float vViewZDepth;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t#include \\\\n\\\\t\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t\\\\tvViewZDepth = - mvPosition.z;\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform float mNear;\\\\n\\\\t\\\\tuniform float mFar;\\\\n\\\\n\\\\t\\\\tvarying float vViewZDepth;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tfloat color = 1.0 - smoothstep( mNear, mFar, vViewZDepth );\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4( vec3( color ), 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};class $j{constructor(t){this._scene=t}scene(){return this._scene}with_overriden_material(t,e,n,i){const s={};let r;this._scene.traverse((i=>{const o=i;if(o.material){const i=o.geometry;if(i){const a=o.customDepthDOFMaterial;if(a){if(r=a,r.uniforms)for(let t of Object.keys(n))r.uniforms[t].value=n[t].value}else r=fr.markedAsInstance(i)?e:t;r&&(s[o.uuid]=o.material,o.material=r)}}})),i(),this._scene.traverse((t=>{const e=t;if(e.material){e.geometry&&(e.material=s[e.uuid])}}));for(let t of Object.keys(s))delete s[t]}}class Jj{constructor(t,e,n,i){this._depth_of_field_node=t,this._scene=e,this._camera=n,this._resolution=i,this._camera_uniforms={mNear:{value:0},mFar:{value:0}},this.enabled=!0,this.needsSwap=!0,this.clear=!0,this.renderToScreen=!0,this._processing_scene=new vs,this.clear_color=new D.a(1,1,1),this._prev_clear_color=new D.a,this._core_scene=new $j(this._scene);const s=3,r=4;this._processing_camera=new ot.a(this._resolution.x/-2,this._resolution.x/2,this._resolution.y/2,this._resolution.y/-2,-1e4,1e4),this._processing_camera.position.z=100,this._processing_scene.add(this._processing_camera);var o={minFilter:w.V,magFilter:w.V,format:w.ic};this._rtTextureDepth=new K(this._resolution.x,this._resolution.y,o),this._rtTextureColor=new K(this._resolution.x,this._resolution.y,o);var a=Xj;a||console.error(\\\\\\\"BokehPass relies on BokehShader\\\\\\\"),this.bokeh_uniforms=I.clone(a.uniforms),this.bokeh_uniforms.tColor.value=this._rtTextureColor.texture,this.bokeh_uniforms.tDepth.value=this._rtTextureDepth.texture,this.bokeh_uniforms.textureWidth.value=this._resolution.x,this.bokeh_uniforms.textureHeight.value=this._resolution.y,this.bokeh_material=new F({uniforms:this.bokeh_uniforms,vertexShader:a.vertexShader,fragmentShader:a.fragmentShader,defines:{RINGS:s,SAMPLES:r}}),this._quad=new B.a(new L(this._resolution.x,this._resolution.y),this.bokeh_material),this._quad.position.z=-500,this._processing_scene.add(this._quad);var l=Yj;l||console.error(\\\\\\\"BokehPass relies on BokehDepthShader\\\\\\\"),this.materialDepth=new F({uniforms:l.uniforms,vertexShader:l.vertexShader,fragmentShader:l.fragmentShader}),this.materialDepthInstance=new F({uniforms:l.uniforms,vertexShader:\\\\\\\"#include \\\\n\\\\nvec3 rotate_with_quat( vec3 v, vec4 q )\\\\n{\\\\n\\\\treturn v + 2.0 * cross( q.xyz, cross( q.xyz, v ) + q.w * v );\\\\n}\\\\n\\\\n\\\\nattribute vec4 instanceOrientation;\\\\nattribute vec3 instancePosition;\\\\nattribute vec3 instanceScale;\\\\nvarying float vViewZDepth;\\\\n\\\\n\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvec3 v_POLYGON_instance_transform1_position = vec3(position);\\\\n\\\\tv_POLYGON_instance_transform1_position *= instanceScale;\\\\n\\\\tv_POLYGON_instance_transform1_position = rotate_with_quat( v_POLYGON_instance_transform1_position, instanceOrientation );\\\\n\\\\tv_POLYGON_instance_transform1_position += instancePosition;\\\\n\\\\t\\\\n\\\\t// replaces #include \\\\n\\\\tvec3 transformed = v_POLYGON_instance_transform1_position;\\\\n\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvViewZDepth = - mvPosition.z;\\\\n}\\\\\\\",fragmentShader:l.fragmentShader}),this.update_camera_uniforms_with_node(this._depth_of_field_node,this._camera)}setSize(t,e){this._rtTextureDepth.setSize(t,e),this._rtTextureColor.setSize(t,e),this.bokeh_uniforms.textureWidth.value=t,this.bokeh_uniforms.textureHeight.value=e}dispose(){this._rtTextureDepth.dispose(),this._rtTextureColor.dispose()}render(t,e,n){t.getClearColor(this._prev_clear_color),t.setClearColor(this.clear_color),t.clear(),t.setRenderTarget(this._rtTextureColor),t.clear(),t.render(this._scene,this._camera),t.setClearColor(0),this._core_scene.with_overriden_material(this.materialDepth,this.materialDepthInstance,this._camera_uniforms,(()=>{t.setRenderTarget(this._rtTextureDepth),t.clear(),t.render(this._scene,this._camera)})),t.setRenderTarget(null),t.clear(),t.render(this._processing_scene,this._processing_camera),t.setClearColor(this._prev_clear_color)}update_camera_uniforms_with_node(t,e){this.bokeh_uniforms.focalLength.value=e.getFocalLength(),this.bokeh_uniforms.znear.value=e.near,this.bokeh_uniforms.zfar.value=e.far;var n=Kj.smoothstep(e.near,e.far,t.pv.focalDepth),i=Kj.linearize(1-n,e.near,e.far);this.bokeh_uniforms.focalDepth.value=i,this._camera_uniforms={mNear:{value:e.near},mFar:{value:e.far}};for(let t of[this.materialDepth,this.materialDepthInstance])t.uniforms.mNear.value=this._camera_uniforms.mNear.value,t.uniforms.mFar.value=this._camera_uniforms.mFar.value}}const Zj=new class extends ua{constructor(){super(...arguments),this.focalDepth=ha.FLOAT(10,{range:[0,50],rangeLocked:[!0,!1],step:.001,...xj}),this.fStep=ha.FLOAT(10,{range:[.1,22],rangeLocked:[!0,!0],...xj}),this.maxBlur=ha.FLOAT(2,{range:[0,10],rangeLocked:[!0,!1],...xj}),this.vignetting=ha.BOOLEAN(0,{...xj}),this.depthBlur=ha.BOOLEAN(0,{...xj}),this.threshold=ha.FLOAT(.5,{range:[0,1],rangeLocked:[!0,!0],step:.001,...xj}),this.gain=ha.FLOAT(1,{range:[0,100],rangeLocked:[!0,!0],step:.001,...xj}),this.bias=ha.FLOAT(1,{range:[0,3],rangeLocked:[!0,!0],step:.001,...xj}),this.fringe=ha.FLOAT(.7,{range:[0,5],rangeLocked:[!0,!1],step:.001,...xj}),this.noise=ha.BOOLEAN(0,{...xj}),this.dithering=ha.FLOAT(0,{range:[0,.001],rangeLocked:[!0,!0],step:1e-4,...xj}),this.pentagon=ha.BOOLEAN(0,{...xj}),this.rings=ha.INTEGER(3,{range:[1,8],rangeLocked:[!0,!0],...xj}),this.samples=ha.INTEGER(4,{range:[1,13],rangeLocked:[!0,!0],...xj}),this.clearColor=ha.COLOR([1,1,1],{...xj})}};class Kj extends bj{constructor(){super(...arguments),this.paramsConfig=Zj}static type(){return\\\\\\\"depthOfField\\\\\\\"}static saturate(t){return Math.max(0,Math.min(1,t))}static linearize(t,e,n){return-n*e/(t*(n-e)-n)}static smoothstep(t,e,n){var i=this.saturate((n-t)/(e-t));return i*i*(3-2*i)}_createPass(t){if(t.camera.isPerspectiveCamera){const e=t.camera_node;if(e){const n=new Jj(this,t.scene,e.object,t.resolution);this.updatePass(n);const i=new Mi(this.scene(),\\\\\\\"DOF\\\\\\\");return i.addGraphInput(e.p.near),i.addGraphInput(e.p.far),i.addGraphInput(e.p.fov),i.addGraphInput(this.p.focalDepth),i.addPostDirtyHook(\\\\\\\"post/DOF\\\\\\\",(()=>{this.update_pass_from_camera_node(n,e)})),n}}}update_pass_from_camera_node(t,e){t.update_camera_uniforms_with_node(this,e.object)}updatePass(t){t.bokeh_uniforms.fstop.value=this.pv.fStep,t.bokeh_uniforms.maxblur.value=this.pv.maxBlur,t.bokeh_uniforms.threshold.value=this.pv.threshold,t.bokeh_uniforms.gain.value=this.pv.gain,t.bokeh_uniforms.bias.value=this.pv.bias,t.bokeh_uniforms.fringe.value=this.pv.fringe,t.bokeh_uniforms.dithering.value=this.pv.dithering,t.bokeh_uniforms.noise.value=this.pv.noise?1:0,t.bokeh_uniforms.pentagon.value=this.pv.pentagon?1:0,t.bokeh_uniforms.vignetting.value=this.pv.vignetting?1:0,t.bokeh_uniforms.depthblur.value=this.pv.depthBlur?1:0,t.bokeh_uniforms.shaderFocus.value=0,t.bokeh_uniforms.showFocus.value=0,t.bokeh_uniforms.manualdof.value=0,t.bokeh_uniforms.focusCoords.value.set(.5,.5),t.bokeh_material.defines.RINGS=this.pv.rings,t.bokeh_material.defines.SAMPLES=this.pv.samples,t.bokeh_material.needsUpdate=!0,t.clear_color.copy(this.pv.clearColor)}}const Qj={uniforms:{tDiffuse:{value:null},tSize:{value:new d.a(256,256)},center:{value:new d.a(.5,.5)},angle:{value:1.57},scale:{value:1}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform vec2 center;\\\\n\\\\t\\\\tuniform float angle;\\\\n\\\\t\\\\tuniform float scale;\\\\n\\\\t\\\\tuniform vec2 tSize;\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tfloat pattern() {\\\\n\\\\n\\\\t\\\\t\\\\tfloat s = sin( angle ), c = cos( angle );\\\\n\\\\n\\\\t\\\\t\\\\tvec2 tex = vUv * tSize - center;\\\\n\\\\t\\\\t\\\\tvec2 point = vec2( c * tex.x - s * tex.y, s * tex.x + c * tex.y ) * scale;\\\\n\\\\n\\\\t\\\\t\\\\treturn ( sin( point.x ) * sin( point.y ) ) * 4.0;\\\\n\\\\n\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 color = texture2D( tDiffuse, vUv );\\\\n\\\\n\\\\t\\\\t\\\\tfloat average = ( color.r + color.g + color.b ) / 3.0;\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4( vec3( average * 10.0 - 5.0 + pattern() ), color.a );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const tW=new class extends ua{constructor(){super(...arguments),this.center=ha.VECTOR2([.5,.5],{...xj}),this.angle=ha.FLOAT(\\\\\\\"$PI*0.5\\\\\\\",{range:[0,10],rangeLocked:[!1,!1],...xj}),this.scale=ha.FLOAT(1,{range:[0,1],rangeLocked:[!1,!1],...xj})}};class eW extends bj{constructor(){super(...arguments),this.paramsConfig=tW}static type(){return\\\\\\\"dotScreen\\\\\\\"}_createPass(t){const e=new Hm(Qj);return this.updatePass(e),e}updatePass(t){t.uniforms.center.value=this.pv.center,t.uniforms.angle.value=this.pv.angle,t.uniforms.scale.value=this.pv.scale}}const nW={uniforms:{tDiffuse:{value:null},time:{value:0},nIntensity:{value:.5},sIntensity:{value:.05},sCount:{value:4096},grayscale:{value:1}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t// control parameter\\\\n\\\\t\\\\tuniform float time;\\\\n\\\\n\\\\t\\\\tuniform bool grayscale;\\\\n\\\\n\\\\t\\\\t// noise effect intensity value (0 = no effect, 1 = full effect)\\\\n\\\\t\\\\tuniform float nIntensity;\\\\n\\\\n\\\\t\\\\t// scanlines effect intensity value (0 = no effect, 1 = full effect)\\\\n\\\\t\\\\tuniform float sIntensity;\\\\n\\\\n\\\\t\\\\t// scanlines effect count value (0 = no effect, 4096 = full effect)\\\\n\\\\t\\\\tuniform float sCount;\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t// sample the source\\\\n\\\\t\\\\t\\\\tvec4 cTextureScreen = texture2D( tDiffuse, vUv );\\\\n\\\\n\\\\t\\\\t// make some noise\\\\n\\\\t\\\\t\\\\tfloat dx = rand( vUv + time );\\\\n\\\\n\\\\t\\\\t// add noise\\\\n\\\\t\\\\t\\\\tvec3 cResult = cTextureScreen.rgb + cTextureScreen.rgb * clamp( 0.1 + dx, 0.0, 1.0 );\\\\n\\\\n\\\\t\\\\t// get us a sine and cosine\\\\n\\\\t\\\\t\\\\tvec2 sc = vec2( sin( vUv.y * sCount ), cos( vUv.y * sCount ) );\\\\n\\\\n\\\\t\\\\t// add scanlines\\\\n\\\\t\\\\t\\\\tcResult += cTextureScreen.rgb * vec3( sc.x, sc.y, sc.x ) * sIntensity;\\\\n\\\\n\\\\t\\\\t// interpolate between source and result by intensity\\\\n\\\\t\\\\t\\\\tcResult = cTextureScreen.rgb + clamp( nIntensity, 0.0,1.0 ) * ( cResult - cTextureScreen.rgb );\\\\n\\\\n\\\\t\\\\t// convert to grayscale if desired\\\\n\\\\t\\\\t\\\\tif( grayscale ) {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tcResult = vec3( cResult.r * 0.3 + cResult.g * 0.59 + cResult.b * 0.11 );\\\\n\\\\n\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4( cResult, cTextureScreen.a );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};class iW extends km{constructor(t,e,n,i){super(),void 0===nW&&console.error(\\\\\\\"THREE.FilmPass relies on FilmShader\\\\\\\");const s=nW;this.uniforms=I.clone(s.uniforms),this.material=new F({uniforms:this.uniforms,vertexShader:s.vertexShader,fragmentShader:s.fragmentShader}),void 0!==i&&(this.uniforms.grayscale.value=i),void 0!==t&&(this.uniforms.nIntensity.value=t),void 0!==e&&(this.uniforms.sIntensity.value=e),void 0!==n&&(this.uniforms.sCount.value=n),this.fsQuad=new Vm(this.material)}render(t,e,n,i){this.uniforms.tDiffuse.value=n.texture,this.uniforms.time.value+=i,this.renderToScreen?(t.setRenderTarget(null),this.fsQuad.render(t)):(t.setRenderTarget(e),this.clear&&t.clear(),this.fsQuad.render(t))}}const sW=new class extends ua{constructor(){super(...arguments),this.noiseIntensity=ha.FLOAT(.5,{range:[0,1],rangeLocked:[!1,!1],...xj}),this.scanlinesIntensity=ha.FLOAT(.05,{range:[0,1],rangeLocked:[!0,!1],...xj}),this.scanlinesCount=ha.FLOAT(4096,{range:[0,4096],rangeLocked:[!0,!1],...xj}),this.grayscale=ha.BOOLEAN(1,{...xj})}};class rW extends bj{constructor(){super(...arguments),this.paramsConfig=sW}static type(){return\\\\\\\"film\\\\\\\"}_createPass(t){const e=new iW(this.pv.noiseIntensity,this.pv.scanlinesIntensity,this.pv.scanlinesCount,this.pv.grayscale?1:0);return this.updatePass(e),e}updatePass(t){t.uniforms.nIntensity.value=this.pv.noiseIntensity,t.uniforms.sIntensity.value=this.pv.scanlinesIntensity,t.uniforms.sCount.value=this.pv.scanlinesCount,t.uniforms.grayscale.value=this.pv.grayscale?1:0}}const oW={uniforms:{tDiffuse:{value:null},resolution:{value:new d.a(1/1024,1/512)}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:'\\\\n\\\\n\\\\t\\\\tprecision highp float;\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tuniform vec2 resolution;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\t#define FXAA_PC 1\\\\n\\\\t\\\\t#define FXAA_GLSL_100 1\\\\n\\\\t\\\\t#define FXAA_QUALITY_PRESET 12\\\\n\\\\n\\\\t\\\\t#define FXAA_GREEN_AS_LUMA 1\\\\n\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_PC_CONSOLE\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// The console algorithm for PC is included\\\\n\\\\t\\\\t\\\\t\\\\t// for developers targeting really low spec machines.\\\\n\\\\t\\\\t\\\\t\\\\t// Likely better to just run FXAA_PC, and use a really low preset.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_PC_CONSOLE 0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_GLSL_120\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_GLSL_120 0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_GLSL_130\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_GLSL_130 0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_HLSL_3\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_HLSL_3 0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_HLSL_4\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_HLSL_4 0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_HLSL_5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_HLSL_5 0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*==========================================================================*/\\\\n\\\\t\\\\t#ifndef FXAA_GREEN_AS_LUMA\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// For those using non-linear color,\\\\n\\\\t\\\\t\\\\t\\\\t// and either not able to get luma in alpha, or not wanting to,\\\\n\\\\t\\\\t\\\\t\\\\t// this enables FXAA to run using green as a proxy for luma.\\\\n\\\\t\\\\t\\\\t\\\\t// So with this enabled, no need to pack luma in alpha.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// This will turn off AA on anything which lacks some amount of green.\\\\n\\\\t\\\\t\\\\t\\\\t// Pure red and blue or combination of only R and B, will get no AA.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Might want to lower the settings for both,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t\\\\tfxaaConsoleEdgeThresholdMin\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t\\\\tfxaaQualityEdgeThresholdMin\\\\n\\\\t\\\\t\\\\t\\\\t// In order to insure AA does not get turned off on colors\\\\n\\\\t\\\\t\\\\t\\\\t// which contain a minor amount of green.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// 1 = On.\\\\n\\\\t\\\\t\\\\t\\\\t// 0 = Off.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_GREEN_AS_LUMA 0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_EARLY_EXIT\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Controls algorithm\\\\'s early exit path.\\\\n\\\\t\\\\t\\\\t\\\\t// On PS3 turning this ON adds 2 cycles to the shader.\\\\n\\\\t\\\\t\\\\t\\\\t// On 360 turning this OFF adds 10ths of a millisecond to the shader.\\\\n\\\\t\\\\t\\\\t\\\\t// Turning this off on console will result in a more blurry image.\\\\n\\\\t\\\\t\\\\t\\\\t// So this defaults to on.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// 1 = On.\\\\n\\\\t\\\\t\\\\t\\\\t// 0 = Off.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_EARLY_EXIT 1\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_DISCARD\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only valid for PC OpenGL currently.\\\\n\\\\t\\\\t\\\\t\\\\t// Probably will not work when FXAA_GREEN_AS_LUMA = 1.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// 1 = Use discard on pixels which don\\\\'t need AA.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t\\\\t For APIs which enable concurrent TEX+ROP from same surface.\\\\n\\\\t\\\\t\\\\t\\\\t// 0 = Return unchanged color on pixels which don\\\\'t need AA.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_DISCARD 0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_FAST_PIXEL_OFFSET\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Used for GLSL 120 only.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// 1 = GL API supports fast pixel offsets\\\\n\\\\t\\\\t\\\\t\\\\t// 0 = do not use fast pixel offsets\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t#ifdef GL_EXT_gpu_shader4\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FXAA_FAST_PIXEL_OFFSET 1\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t#ifdef GL_NV_gpu_shader5\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FXAA_FAST_PIXEL_OFFSET 1\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t#ifdef GL_ARB_gpu_shader5\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FXAA_FAST_PIXEL_OFFSET 1\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t#ifndef FXAA_FAST_PIXEL_OFFSET\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FXAA_FAST_PIXEL_OFFSET 0\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#ifndef FXAA_GATHER4_ALPHA\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// 1 = API supports gather4 on alpha channel.\\\\n\\\\t\\\\t\\\\t\\\\t// 0 = API does not support gather4 on alpha channel.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t#if (FXAA_HLSL_5 == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FXAA_GATHER4_ALPHA 1\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t#ifdef GL_ARB_gpu_shader5\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FXAA_GATHER4_ALPHA 1\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t#ifdef GL_NV_gpu_shader5\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FXAA_GATHER4_ALPHA 1\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t#ifndef FXAA_GATHER4_ALPHA\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FXAA_GATHER4_ALPHA 0\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\n\\\\t\\\\t/*============================================================================\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFXAA QUALITY - TUNING KNOBS\\\\n\\\\t\\\\t------------------------------------------------------------------------------\\\\n\\\\t\\\\tNOTE the other tuning knobs are now in the shader function inputs!\\\\n\\\\t\\\\t============================================================================*/\\\\n\\\\t\\\\t#ifndef FXAA_QUALITY_PRESET\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Choose the quality preset.\\\\n\\\\t\\\\t\\\\t\\\\t// This needs to be compiled into the shader as it effects code.\\\\n\\\\t\\\\t\\\\t\\\\t// Best option to include multiple presets is to\\\\n\\\\t\\\\t\\\\t\\\\t// in each shader define the preset, then include this file.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// OPTIONS\\\\n\\\\t\\\\t\\\\t\\\\t// -----------------------------------------------------------------------\\\\n\\\\t\\\\t\\\\t\\\\t// 10 to 15 - default medium dither (10=fastest, 15=highest quality)\\\\n\\\\t\\\\t\\\\t\\\\t// 20 to 29 - less dither, more expensive (20=fastest, 29=highest quality)\\\\n\\\\t\\\\t\\\\t\\\\t// 39\\\\t\\\\t\\\\t - no dither, very expensive\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// NOTES\\\\n\\\\t\\\\t\\\\t\\\\t// -----------------------------------------------------------------------\\\\n\\\\t\\\\t\\\\t\\\\t// 12 = slightly faster then FXAA 3.9 and higher edge quality (default)\\\\n\\\\t\\\\t\\\\t\\\\t// 13 = about same speed as FXAA 3.9 and better than 12\\\\n\\\\t\\\\t\\\\t\\\\t// 23 = closest to FXAA 3.9 visually and performance wise\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t_ = the lowest digit is directly related to performance\\\\n\\\\t\\\\t\\\\t\\\\t// _\\\\t= the highest digit is directly related to style\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PRESET 12\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\n\\\\t\\\\t/*============================================================================\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t FXAA QUALITY - PRESETS\\\\n\\\\n\\\\t\\\\t============================================================================*/\\\\n\\\\n\\\\t\\\\t/*============================================================================\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t FXAA QUALITY - MEDIUM DITHER PRESETS\\\\n\\\\t\\\\t============================================================================*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 10)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 3\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 3.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 12.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 11)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 4\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 3.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 12.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 12)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 12.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 13)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 6\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 12.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 14)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 7\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P6 12.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 15)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 8\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P6 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P7 12.0\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\t/*============================================================================\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t FXAA QUALITY - LOW DITHER PRESETS\\\\n\\\\t\\\\t============================================================================*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 20)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 3\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 21)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 4\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 22)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 23)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 6\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 24)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 7\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 3.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P6 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 25)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 8\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P6 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P7 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 26)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 9\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P6 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P7 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P8 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 27)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 10\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P6 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P7 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P8 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P9 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 28)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 11\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P6 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P7 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P8 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P9 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P10 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 29)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 12\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P6 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P7 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P8 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P9 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P10 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P11 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\t/*============================================================================\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t FXAA QUALITY - EXTREME QUALITY\\\\n\\\\t\\\\t============================================================================*/\\\\n\\\\t\\\\t#if (FXAA_QUALITY_PRESET == 39)\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_PS 12\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P0 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P1 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P2 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P3 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P4 1.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P5 1.5\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P6 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P7 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P8 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P9 2.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P10 4.0\\\\n\\\\t\\\\t\\\\t\\\\t#define FXAA_QUALITY_P11 8.0\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\n\\\\n\\\\t\\\\t/*============================================================================\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tAPI PORTING\\\\n\\\\n\\\\t\\\\t============================================================================*/\\\\n\\\\t\\\\t#if (FXAA_GLSL_100 == 1) || (FXAA_GLSL_120 == 1) || (FXAA_GLSL_130 == 1)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaBool bool\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaDiscard discard\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaFloat float\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaFloat2 vec2\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaFloat3 vec3\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaFloat4 vec4\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaHalf float\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaHalf2 vec2\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaHalf3 vec3\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaHalf4 vec4\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaInt2 ivec2\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaSat(x) clamp(x, 0.0, 1.0)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTex sampler2D\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaBool bool\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaDiscard clip(-1)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaFloat float\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaFloat2 float2\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaFloat3 float3\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaFloat4 float4\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaHalf half\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaHalf2 half2\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaHalf3 half3\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaHalf4 half4\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaSat(x) saturate(x)\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_GLSL_100 == 1)\\\\n\\\\t\\\\t\\\\t#define FxaaTexTop(t, p) texture2D(t, p, 0.0)\\\\n\\\\t\\\\t\\\\t#define FxaaTexOff(t, p, o, r) texture2D(t, p + (o * r), 0.0)\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_GLSL_120 == 1)\\\\n\\\\t\\\\t\\\\t\\\\t// Requires,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t#version 120\\\\n\\\\t\\\\t\\\\t\\\\t// And at least,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t#extension GL_EXT_gpu_shader4 : enable\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t(or set FXAA_FAST_PIXEL_OFFSET 1 to work like DX9)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexTop(t, p) texture2DLod(t, p, 0.0)\\\\n\\\\t\\\\t\\\\t\\\\t#if (FXAA_FAST_PIXEL_OFFSET == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexOff(t, p, o, r) texture2DLodOffset(t, p, 0.0, o)\\\\n\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexOff(t, p, o, r) texture2DLod(t, p + (o * r), 0.0)\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t#if (FXAA_GATHER4_ALPHA == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t// use #extension GL_ARB_gpu_shader5 : enable\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexAlpha4(t, p) textureGather(t, p, 3)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexOffAlpha4(t, p, o) textureGatherOffset(t, p, o, 3)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexGreen4(t, p) textureGather(t, p, 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexOffGreen4(t, p, o) textureGatherOffset(t, p, o, 1)\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_GLSL_130 == 1)\\\\n\\\\t\\\\t\\\\t\\\\t// Requires \\\\\\\"#version 130\\\\\\\" or better\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexTop(t, p) textureLod(t, p, 0.0)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexOff(t, p, o, r) textureLodOffset(t, p, 0.0, o)\\\\n\\\\t\\\\t\\\\t\\\\t#if (FXAA_GATHER4_ALPHA == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t// use #extension GL_ARB_gpu_shader5 : enable\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexAlpha4(t, p) textureGather(t, p, 3)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexOffAlpha4(t, p, o) textureGatherOffset(t, p, o, 3)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexGreen4(t, p) textureGather(t, p, 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define FxaaTexOffGreen4(t, p, o) textureGatherOffset(t, p, o, 1)\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_HLSL_3 == 1)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaInt2 float2\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTex sampler2D\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexTop(t, p) tex2Dlod(t, float4(p, 0.0, 0.0))\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexOff(t, p, o, r) tex2Dlod(t, float4(p + (o * r), 0, 0))\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_HLSL_4 == 1)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaInt2 int2\\\\n\\\\t\\\\t\\\\t\\\\tstruct FxaaTex { SamplerState smpl; Texture2D tex; };\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexTop(t, p) t.tex.SampleLevel(t.smpl, p, 0.0)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexOff(t, p, o, r) t.tex.SampleLevel(t.smpl, p, 0.0, o)\\\\n\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t#if (FXAA_HLSL_5 == 1)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaInt2 int2\\\\n\\\\t\\\\t\\\\t\\\\tstruct FxaaTex { SamplerState smpl; Texture2D tex; };\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexTop(t, p) t.tex.SampleLevel(t.smpl, p, 0.0)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexOff(t, p, o, r) t.tex.SampleLevel(t.smpl, p, 0.0, o)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexAlpha4(t, p) t.tex.GatherAlpha(t.smpl, p)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexOffAlpha4(t, p, o) t.tex.GatherAlpha(t.smpl, p, o)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexGreen4(t, p) t.tex.GatherGreen(t.smpl, p)\\\\n\\\\t\\\\t\\\\t\\\\t#define FxaaTexOffGreen4(t, p, o) t.tex.GatherGreen(t.smpl, p, o)\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\n\\\\t\\\\t/*============================================================================\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t GREEN AS LUMA OPTION SUPPORT FUNCTION\\\\n\\\\t\\\\t============================================================================*/\\\\n\\\\t\\\\t#if (FXAA_GREEN_AS_LUMA == 0)\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat FxaaLuma(FxaaFloat4 rgba) { return rgba.w; }\\\\n\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat FxaaLuma(FxaaFloat4 rgba) { return rgba.y; }\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\n\\\\n\\\\n\\\\t\\\\t/*============================================================================\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t FXAA3 QUALITY - PC\\\\n\\\\n\\\\t\\\\t============================================================================*/\\\\n\\\\t\\\\t#if (FXAA_PC == 1)\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\tFxaaFloat4 FxaaPixelShader(\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Use noperspective interpolation here (turn off perspective interpolation).\\\\n\\\\t\\\\t\\\\t\\\\t// {xy} = center of pixel\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat2 pos,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Used only for FXAA Console, and not used on the 360 version.\\\\n\\\\t\\\\t\\\\t\\\\t// Use noperspective interpolation here (turn off perspective interpolation).\\\\n\\\\t\\\\t\\\\t\\\\t// {xy_} = upper left of pixel\\\\n\\\\t\\\\t\\\\t\\\\t// {_zw} = lower right of pixel\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat4 fxaaConsolePosPos,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Input color texture.\\\\n\\\\t\\\\t\\\\t\\\\t// {rgb_} = color in linear or perceptual color space\\\\n\\\\t\\\\t\\\\t\\\\t// if (FXAA_GREEN_AS_LUMA == 0)\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t\\\\t {__a} = luma in perceptual color space (not linear)\\\\n\\\\t\\\\t\\\\t\\\\tFxaaTex tex,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on the optimized 360 version of FXAA Console.\\\\n\\\\t\\\\t\\\\t\\\\t// For everything but 360, just use the same input here as for \\\\\\\"tex\\\\\\\".\\\\n\\\\t\\\\t\\\\t\\\\t// For 360, same texture, just alias with a 2nd sampler.\\\\n\\\\t\\\\t\\\\t\\\\t// This sampler needs to have an exponent bias of -1.\\\\n\\\\t\\\\t\\\\t\\\\tFxaaTex fxaaConsole360TexExpBiasNegOne,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on the optimized 360 version of FXAA Console.\\\\n\\\\t\\\\t\\\\t\\\\t// For everything but 360, just use the same input here as for \\\\\\\"tex\\\\\\\".\\\\n\\\\t\\\\t\\\\t\\\\t// For 360, same texture, just alias with a 3nd sampler.\\\\n\\\\t\\\\t\\\\t\\\\t// This sampler needs to have an exponent bias of -2.\\\\n\\\\t\\\\t\\\\t\\\\tFxaaTex fxaaConsole360TexExpBiasNegTwo,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Quality.\\\\n\\\\t\\\\t\\\\t\\\\t// This must be from a constant/uniform.\\\\n\\\\t\\\\t\\\\t\\\\t// {x_} = 1.0/screenWidthInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {_y} = 1.0/screenHeightInPixels\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat2 fxaaQualityRcpFrame,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Console.\\\\n\\\\t\\\\t\\\\t\\\\t// This must be from a constant/uniform.\\\\n\\\\t\\\\t\\\\t\\\\t// This effects sub-pixel AA quality and inversely sharpness.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t Where N ranges between,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t\\\\t N = 0.50 (default)\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t\\\\t N = 0.33 (sharper)\\\\n\\\\t\\\\t\\\\t\\\\t// {x__} = -N/screenWidthInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {_y_} = -N/screenHeightInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {_z_} =\\\\tN/screenWidthInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {__w} =\\\\tN/screenHeightInPixels\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat4 fxaaConsoleRcpFrameOpt,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Console.\\\\n\\\\t\\\\t\\\\t\\\\t// Not used on 360, but used on PS3 and PC.\\\\n\\\\t\\\\t\\\\t\\\\t// This must be from a constant/uniform.\\\\n\\\\t\\\\t\\\\t\\\\t// {x__} = -2.0/screenWidthInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {_y_} = -2.0/screenHeightInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {_z_} =\\\\t2.0/screenWidthInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {__w} =\\\\t2.0/screenHeightInPixels\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat4 fxaaConsoleRcpFrameOpt2,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Console.\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on 360 in place of fxaaConsoleRcpFrameOpt2.\\\\n\\\\t\\\\t\\\\t\\\\t// This must be from a constant/uniform.\\\\n\\\\t\\\\t\\\\t\\\\t// {x__} =\\\\t8.0/screenWidthInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {_y_} =\\\\t8.0/screenHeightInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {_z_} = -4.0/screenWidthInPixels\\\\n\\\\t\\\\t\\\\t\\\\t// {__w} = -4.0/screenHeightInPixels\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat4 fxaaConsole360RcpFrameOpt2,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Quality.\\\\n\\\\t\\\\t\\\\t\\\\t// This used to be the FXAA_QUALITY_SUBPIX define.\\\\n\\\\t\\\\t\\\\t\\\\t// It is here now to allow easier tuning.\\\\n\\\\t\\\\t\\\\t\\\\t// Choose the amount of sub-pixel aliasing removal.\\\\n\\\\t\\\\t\\\\t\\\\t// This can effect sharpness.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 1.00 - upper limit (softer)\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.75 - default amount of filtering\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.50 - lower limit (sharper, less sub-pixel aliasing removal)\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.25 - almost off\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.00 - completely off\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat fxaaQualitySubpix,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Quality.\\\\n\\\\t\\\\t\\\\t\\\\t// This used to be the FXAA_QUALITY_EDGE_THRESHOLD define.\\\\n\\\\t\\\\t\\\\t\\\\t// It is here now to allow easier tuning.\\\\n\\\\t\\\\t\\\\t\\\\t// The minimum amount of local contrast required to apply algorithm.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.333 - too little (faster)\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.250 - low quality\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.166 - default\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.125 - high quality\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.063 - overkill (slower)\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat fxaaQualityEdgeThreshold,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Quality.\\\\n\\\\t\\\\t\\\\t\\\\t// This used to be the FXAA_QUALITY_EDGE_THRESHOLD_MIN define.\\\\n\\\\t\\\\t\\\\t\\\\t// It is here now to allow easier tuning.\\\\n\\\\t\\\\t\\\\t\\\\t// Trims the algorithm from processing darks.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.0833 - upper limit (default, the start of visible unfiltered edges)\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.0625 - high quality (faster)\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.0312 - visible limit (slower)\\\\n\\\\t\\\\t\\\\t\\\\t// Special notes when using FXAA_GREEN_AS_LUMA,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t Likely want to set this to zero.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t As colors that are mostly not-green\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t will appear very dark in the green channel!\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t Tune by looking at mostly non-green content,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t then start at zero and increase until aliasing is a problem.\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat fxaaQualityEdgeThresholdMin,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Console.\\\\n\\\\t\\\\t\\\\t\\\\t// This used to be the FXAA_CONSOLE_EDGE_SHARPNESS define.\\\\n\\\\t\\\\t\\\\t\\\\t// It is here now to allow easier tuning.\\\\n\\\\t\\\\t\\\\t\\\\t// This does not effect PS3, as this needs to be compiled in.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t Use FXAA_CONSOLE_PS3_EDGE_SHARPNESS for PS3.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t Due to the PS3 being ALU bound,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t there are only three safe values here: 2 and 4 and 8.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t These options use the shaders ability to a free *|/ by 2|4|8.\\\\n\\\\t\\\\t\\\\t\\\\t// For all other platforms can be a non-power of two.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 8.0 is sharper (default!!!)\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 4.0 is softer\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 2.0 is really soft (good only for vector graphics inputs)\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat fxaaConsoleEdgeSharpness,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Console.\\\\n\\\\t\\\\t\\\\t\\\\t// This used to be the FXAA_CONSOLE_EDGE_THRESHOLD define.\\\\n\\\\t\\\\t\\\\t\\\\t// It is here now to allow easier tuning.\\\\n\\\\t\\\\t\\\\t\\\\t// This does not effect PS3, as this needs to be compiled in.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t Use FXAA_CONSOLE_PS3_EDGE_THRESHOLD for PS3.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t Due to the PS3 being ALU bound,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t there are only two safe values here: 1/4 and 1/8.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t These options use the shaders ability to a free *|/ by 2|4|8.\\\\n\\\\t\\\\t\\\\t\\\\t// The console setting has a different mapping than the quality setting.\\\\n\\\\t\\\\t\\\\t\\\\t// Other platforms can use other values.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.125 leaves less aliasing, but is softer (default!!!)\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.25 leaves more aliasing, and is sharper\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat fxaaConsoleEdgeThreshold,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Only used on FXAA Console.\\\\n\\\\t\\\\t\\\\t\\\\t// This used to be the FXAA_CONSOLE_EDGE_THRESHOLD_MIN define.\\\\n\\\\t\\\\t\\\\t\\\\t// It is here now to allow easier tuning.\\\\n\\\\t\\\\t\\\\t\\\\t// Trims the algorithm from processing darks.\\\\n\\\\t\\\\t\\\\t\\\\t// The console setting has a different mapping than the quality setting.\\\\n\\\\t\\\\t\\\\t\\\\t// This only applies when FXAA_EARLY_EXIT is 1.\\\\n\\\\t\\\\t\\\\t\\\\t// This does not apply to PS3,\\\\n\\\\t\\\\t\\\\t\\\\t// PS3 was simplified to avoid more shader instructions.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.06 - faster but more aliasing in darks\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.05 - default\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t 0.04 - slower and less aliasing in darks\\\\n\\\\t\\\\t\\\\t\\\\t// Special notes when using FXAA_GREEN_AS_LUMA,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t Likely want to set this to zero.\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t As colors that are mostly not-green\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t will appear very dark in the green channel!\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t Tune by looking at mostly non-green content,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\t then start at zero and increase until aliasing is a problem.\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat fxaaConsoleEdgeThresholdMin,\\\\n\\\\t\\\\t\\\\t\\\\t//\\\\n\\\\t\\\\t\\\\t\\\\t// Extra constants for 360 FXAA Console only.\\\\n\\\\t\\\\t\\\\t\\\\t// Use zeros or anything else for other platforms.\\\\n\\\\t\\\\t\\\\t\\\\t// These must be in physical constant registers and NOT immediates.\\\\n\\\\t\\\\t\\\\t\\\\t// Immediates will result in compiler un-optimizing.\\\\n\\\\t\\\\t\\\\t\\\\t// {xyzw} = float4(1.0, -1.0, 0.25, -0.25)\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat4 fxaaConsole360ConstDir\\\\n\\\\t\\\\t) {\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat2 posM;\\\\n\\\\t\\\\t\\\\t\\\\tposM.x = pos.x;\\\\n\\\\t\\\\t\\\\t\\\\tposM.y = pos.y;\\\\n\\\\t\\\\t\\\\t\\\\t#if (FXAA_GATHER4_ALPHA == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_DISCARD == 0)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat4 rgbyM = FxaaTexTop(tex, posM);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_GREEN_AS_LUMA == 0)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaM rgbyM.w\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaM rgbyM.y\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_GREEN_AS_LUMA == 0)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat4 luma4A = FxaaTexAlpha4(tex, posM);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat4 luma4B = FxaaTexOffAlpha4(tex, posM, FxaaInt2(-1, -1));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat4 luma4A = FxaaTexGreen4(tex, posM);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat4 luma4B = FxaaTexOffGreen4(tex, posM, FxaaInt2(-1, -1));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_DISCARD == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaM luma4A.w\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaE luma4A.z\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaS luma4A.x\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaSE luma4A.y\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaNW luma4B.w\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaN luma4B.z\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaW luma4B.x\\\\n\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat4 rgbyM = FxaaTexTop(tex, posM);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_GREEN_AS_LUMA == 0)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaM rgbyM.w\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#define lumaM rgbyM.y\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_GLSL_100 == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaS = FxaaLuma(FxaaTexOff(tex, posM, FxaaFloat2( 0.0, 1.0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaE = FxaaLuma(FxaaTexOff(tex, posM, FxaaFloat2( 1.0, 0.0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaN = FxaaLuma(FxaaTexOff(tex, posM, FxaaFloat2( 0.0,-1.0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaW = FxaaLuma(FxaaTexOff(tex, posM, FxaaFloat2(-1.0, 0.0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaS = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2( 0, 1), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaE = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2( 1, 0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaN = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2( 0,-1), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaW = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2(-1, 0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat maxSM = max(lumaS, lumaM);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat minSM = min(lumaS, lumaM);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat maxESM = max(lumaE, maxSM);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat minESM = min(lumaE, minSM);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat maxWN = max(lumaN, lumaW);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat minWN = min(lumaN, lumaW);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat rangeMax = max(maxWN, maxESM);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat rangeMin = min(minWN, minESM);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat rangeMaxScaled = rangeMax * fxaaQualityEdgeThreshold;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat range = rangeMax - rangeMin;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat rangeMaxClamped = max(fxaaQualityEdgeThresholdMin, rangeMaxScaled);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool earlyExit = range < rangeMaxClamped;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tif(earlyExit)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_DISCARD == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaDiscard;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\treturn rgbyM;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t#if (FXAA_GATHER4_ALPHA == 0)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_GLSL_100 == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNW = FxaaLuma(FxaaTexOff(tex, posM, FxaaFloat2(-1.0,-1.0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaSE = FxaaLuma(FxaaTexOff(tex, posM, FxaaFloat2( 1.0, 1.0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNE = FxaaLuma(FxaaTexOff(tex, posM, FxaaFloat2( 1.0,-1.0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaSW = FxaaLuma(FxaaTexOff(tex, posM, FxaaFloat2(-1.0, 1.0), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNW = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2(-1,-1), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaSE = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2( 1, 1), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNE = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2( 1,-1), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaSW = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2(-1, 1), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNE = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2(1, -1), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaSW = FxaaLuma(FxaaTexOff(tex, posM, FxaaInt2(-1, 1), fxaaQualityRcpFrame.xy));\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNS = lumaN + lumaS;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaWE = lumaW + lumaE;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixRcpRange = 1.0/range;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixNSWE = lumaNS + lumaWE;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeHorz1 = (-2.0 * lumaM) + lumaNS;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeVert1 = (-2.0 * lumaM) + lumaWE;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNESE = lumaNE + lumaSE;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNWNE = lumaNW + lumaNE;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeHorz2 = (-2.0 * lumaE) + lumaNESE;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeVert2 = (-2.0 * lumaN) + lumaNWNE;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNWSW = lumaNW + lumaSW;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaSWSE = lumaSW + lumaSE;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeHorz4 = (abs(edgeHorz1) * 2.0) + abs(edgeHorz2);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeVert4 = (abs(edgeVert1) * 2.0) + abs(edgeVert2);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeHorz3 = (-2.0 * lumaW) + lumaNWSW;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeVert3 = (-2.0 * lumaS) + lumaSWSE;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeHorz = abs(edgeHorz3) + edgeHorz4;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat edgeVert = abs(edgeVert3) + edgeVert4;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixNWSWNESE = lumaNWSW + lumaNESE;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lengthSign = fxaaQualityRcpFrame.x;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool horzSpan = edgeHorz >= edgeVert;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixA = subpixNSWE * 2.0 + subpixNWSWNESE;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tif(!horzSpan) lumaN = lumaW;\\\\n\\\\t\\\\t\\\\t\\\\tif(!horzSpan) lumaS = lumaE;\\\\n\\\\t\\\\t\\\\t\\\\tif(horzSpan) lengthSign = fxaaQualityRcpFrame.y;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixB = (subpixA * (1.0/12.0)) - lumaM;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat gradientN = lumaN - lumaM;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat gradientS = lumaS - lumaM;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaNN = lumaN + lumaM;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaSS = lumaS + lumaM;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool pairN = abs(gradientN) >= abs(gradientS);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat gradient = max(abs(gradientN), abs(gradientS));\\\\n\\\\t\\\\t\\\\t\\\\tif(pairN) lengthSign = -lengthSign;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixC = FxaaSat(abs(subpixB) * subpixRcpRange);\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat2 posB;\\\\n\\\\t\\\\t\\\\t\\\\tposB.x = posM.x;\\\\n\\\\t\\\\t\\\\t\\\\tposB.y = posM.y;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat2 offNP;\\\\n\\\\t\\\\t\\\\t\\\\toffNP.x = (!horzSpan) ? 0.0 : fxaaQualityRcpFrame.x;\\\\n\\\\t\\\\t\\\\t\\\\toffNP.y = ( horzSpan) ? 0.0 : fxaaQualityRcpFrame.y;\\\\n\\\\t\\\\t\\\\t\\\\tif(!horzSpan) posB.x += lengthSign * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\tif( horzSpan) posB.y += lengthSign * 0.5;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat2 posN;\\\\n\\\\t\\\\t\\\\t\\\\tposN.x = posB.x - offNP.x * FXAA_QUALITY_P0;\\\\n\\\\t\\\\t\\\\t\\\\tposN.y = posB.y - offNP.y * FXAA_QUALITY_P0;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat2 posP;\\\\n\\\\t\\\\t\\\\t\\\\tposP.x = posB.x + offNP.x * FXAA_QUALITY_P0;\\\\n\\\\t\\\\t\\\\t\\\\tposP.y = posB.y + offNP.y * FXAA_QUALITY_P0;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixD = ((-2.0)*subpixC) + 3.0;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaEndN = FxaaLuma(FxaaTexTop(tex, posN));\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixE = subpixC * subpixC;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaEndP = FxaaLuma(FxaaTexTop(tex, posP));\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tif(!pairN) lumaNN = lumaSS;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat gradientScaled = gradient * 1.0/4.0;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat lumaMM = lumaM - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixF = subpixD * subpixE;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool lumaMLTZero = lumaMM < 0.0;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tlumaEndN -= lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\tlumaEndP -= lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool doneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool doneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P1;\\\\n\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P1;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool doneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P1;\\\\n\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P1;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P2;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P2;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P2;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P2;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 3)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P3;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P3;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P3;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P3;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 4)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P4;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P4;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P4;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P4;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 5)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P5;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 6)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P6;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P6;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P6;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P6;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 7)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P7;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P7;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P7;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P7;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 8)\\\\n\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P8;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P8;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P8;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P8;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 9)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P9;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P9;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P9;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P9;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 10)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P10;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P10;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P10;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P10;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 11)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P11;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P11;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P11;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P11;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#if (FXAA_QUALITY_PS > 12)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(doneNP) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = FxaaLuma(FxaaTexTop(tex, posN.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = FxaaLuma(FxaaTexTop(tex, posP.xy));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) lumaEndN = lumaEndN - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) lumaEndP = lumaEndP - lumaNN * 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneN = abs(lumaEndN) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneP = abs(lumaEndP) >= gradientScaled;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.x -= offNP.x * FXAA_QUALITY_P12;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneN) posN.y -= offNP.y * FXAA_QUALITY_P12;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdoneNP = (!doneN) || (!doneP);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.x += offNP.x * FXAA_QUALITY_P12;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tif(!doneP) posP.y += offNP.y * FXAA_QUALITY_P12;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat dstN = posM.x - posN.x;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat dstP = posP.x - posM.x;\\\\n\\\\t\\\\t\\\\t\\\\tif(!horzSpan) dstN = posM.y - posN.y;\\\\n\\\\t\\\\t\\\\t\\\\tif(!horzSpan) dstP = posP.y - posM.y;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool goodSpanN = (lumaEndN < 0.0) != lumaMLTZero;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat spanLength = (dstP + dstN);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool goodSpanP = (lumaEndP < 0.0) != lumaMLTZero;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat spanLengthRcp = 1.0/spanLength;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool directionN = dstN < dstP;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat dst = min(dstN, dstP);\\\\n\\\\t\\\\t\\\\t\\\\tFxaaBool goodSpan = directionN ? goodSpanN : goodSpanP;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixG = subpixF * subpixF;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat pixelOffset = (dst * (-spanLengthRcp)) + 0.5;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat subpixH = subpixG * fxaaQualitySubpix;\\\\n\\\\t\\\\t/*--------------------------------------------------------------------------*/\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat pixelOffsetGood = goodSpan ? pixelOffset : 0.0;\\\\n\\\\t\\\\t\\\\t\\\\tFxaaFloat pixelOffsetSubpix = max(pixelOffsetGood, subpixH);\\\\n\\\\t\\\\t\\\\t\\\\tif(!horzSpan) posM.x += pixelOffsetSubpix * lengthSign;\\\\n\\\\t\\\\t\\\\t\\\\tif( horzSpan) posM.y += pixelOffsetSubpix * lengthSign;\\\\n\\\\t\\\\t\\\\t\\\\t#if (FXAA_DISCARD == 1)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\treturn FxaaTexTop(tex, posM);\\\\n\\\\t\\\\t\\\\t\\\\t#else\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\treturn FxaaFloat4(FxaaTexTop(tex, posM).xyz, lumaM);\\\\n\\\\t\\\\t\\\\t\\\\t#endif\\\\n\\\\t\\\\t}\\\\n\\\\t\\\\t/*==========================================================================*/\\\\n\\\\t\\\\t#endif\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\tgl_FragColor = FxaaPixelShader(\\\\n\\\\t\\\\t\\\\t\\\\tvUv,\\\\n\\\\t\\\\t\\\\t\\\\tvec4(0.0),\\\\n\\\\t\\\\t\\\\t\\\\ttDiffuse,\\\\n\\\\t\\\\t\\\\t\\\\ttDiffuse,\\\\n\\\\t\\\\t\\\\t\\\\ttDiffuse,\\\\n\\\\t\\\\t\\\\t\\\\tresolution,\\\\n\\\\t\\\\t\\\\t\\\\tvec4(0.0),\\\\n\\\\t\\\\t\\\\t\\\\tvec4(0.0),\\\\n\\\\t\\\\t\\\\t\\\\tvec4(0.0),\\\\n\\\\t\\\\t\\\\t\\\\t0.75,\\\\n\\\\t\\\\t\\\\t\\\\t0.166,\\\\n\\\\t\\\\t\\\\t\\\\t0.0833,\\\\n\\\\t\\\\t\\\\t\\\\t0.0,\\\\n\\\\t\\\\t\\\\t\\\\t0.0,\\\\n\\\\t\\\\t\\\\t\\\\t0.0,\\\\n\\\\t\\\\t\\\\t\\\\tvec4(0.0)\\\\n\\\\t\\\\t\\\\t);\\\\n\\\\n\\\\t\\\\t\\\\t// TODO avoid querying texture twice for same texel\\\\n\\\\t\\\\t\\\\tgl_FragColor.a = texture2D(tDiffuse, vUv).a;\\\\n\\\\t\\\\t}'};const aW=new class extends ua{constructor(){super(...arguments),this.transparent=ha.BOOLEAN(1,xj)}};class lW extends bj{constructor(){super(...arguments),this.paramsConfig=aW}static type(){return\\\\\\\"FXAA\\\\\\\"}_createPass(t){const e=new Hm(oW);return e.uniforms.resolution.value.set(1/t.resolution.x,1/t.resolution.y),e.material.transparent=!0,this.updatePass(e),e}updatePass(t){t.material.transparent=this.pv.transparent}}const cW={uniforms:{tDiffuse:{value:null}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 tex = texture2D( tDiffuse, vUv );\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = LinearTosRGB( tex ); // optional: LinearToGamma( tex, float( GAMMA_FACTOR ) );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const hW=new class extends ua{};class uW extends bj{constructor(){super(...arguments),this.paramsConfig=hW}static type(){return\\\\\\\"gammaCorrection\\\\\\\"}_createPass(t){const e=new Hm(cW);return this.updatePass(e),e}updatePass(t){}}const dW=new class extends ua{constructor(){super(...arguments),this.amount=ha.FLOAT(2,{range:[0,10],rangeLocked:[!0,!1],step:.01,...xj}),this.transparent=ha.BOOLEAN(1,xj)}};class pW extends bj{constructor(){super(...arguments),this.paramsConfig=dW}static type(){return\\\\\\\"horizontalBlur\\\\\\\"}_createPass(t){const e=new Hm(CG);return e.resolution_x=t.resolution.x,this.updatePass(e),e}updatePass(t){t.uniforms.h.value=this.pv.amount/(t.resolution_x*window.devicePixelRatio),t.material.transparent=this.pv.transparent}}const _W=new class extends ua{constructor(){super(...arguments),this.map=ha.OPERATOR_PATH(vi.UV,{nodeSelection:{context:ts.COP},...xj}),this.darkness=ha.FLOAT(0,{range:[0,2],rangeLocked:[!0,!1],...xj}),this.offset=ha.FLOAT(0,{range:[0,2],rangeLocked:[!0,!1],...xj})}};class mW extends bj{constructor(){super(...arguments),this.paramsConfig=_W}static type(){return\\\\\\\"image\\\\\\\"}static _create_shader(){return{uniforms:{tDiffuse:{value:null},map:{value:null},offset:{value:1},darkness:{value:1}},vertexShader:\\\\\\\"varying vec2 vUv;\\\\nvoid main() {\\\\n\\\\tvUv = uv;\\\\n\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n}\\\\\\\",fragmentShader:\\\\\\\"uniform float offset;\\\\nuniform float darkness;\\\\nuniform sampler2D tDiffuse;\\\\nuniform sampler2D map;\\\\nvarying vec2 vUv;\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvec4 texel = texture2D( tDiffuse, vUv );\\\\n\\\\tvec4 map_val = texture2D( map, vUv );\\\\n\\\\tvec2 uv = ( vUv - vec2( 0.5 ) ) * vec2( offset );\\\\n\\\\t// gl_FragColor = vec4( mix( texel.rgb, vec3( 1.0 - darkness ), dot( uv, uv ) ), texel.a );\\\\n\\\\tgl_FragColor = vec4( mix( texel.rgb, map_val.rgb, map_val.a ), texel.a );\\\\n\\\\n}\\\\n\\\\\\\"}}_createPass(t){const e=new Hm(mW._create_shader());return this.updatePass(e),e}updatePass(t){t.uniforms.darkness.value=this.pv.darkness,t.uniforms.offset.value=this.pv.offset,this._update_map(t)}async _update_map(t){this.p.map.isDirty()&&await this.p.map.compute();const e=this.p.map.found_node();if(e)if(e.context()==ts.COP){const n=e,i=(await n.compute()).coreContent();t.uniforms.map.value=i}else this.states.error.set(\\\\\\\"node is not COP\\\\\\\");else this.states.error.set(\\\\\\\"no map found\\\\\\\")}}const fW={tDiffuse:{value:null},texture1:{value:null},texture2:{value:null},h:{value:1/512}},gW=\\\\\\\"varying vec2 vUv;\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvUv = uv;\\\\n\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n}\\\\\\\",vW=\\\\\\\"uniform sampler2D texture1;\\\\nuniform sampler2D texture2;\\\\nvarying vec2 vUv;\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvec4 t1 = texture2D( texture1, vUv);\\\\n\\\\tvec4 t2 = texture2D( texture2, vUv);\\\\n\\\\n\\\\tvec3 c1 = t1.rgb * t1.a * (1.0-t2.a);\\\\n\\\\tvec3 c2 = t2.rgb * t2.a;\\\\n\\\\tfloat a = t2.a + t1.a;\\\\n\\\\tvec3 c = max(c1,c2);\\\\n\\\\n\\\\tgl_FragColor = vec4(c,a);\\\\n\\\\n}\\\\\\\";class yW extends km{constructor(t,e){super(),this._composer1=t,this._composer2=e,this.uniforms=I.clone(fW),this.material=new F({uniforms:this.uniforms,vertexShader:gW,fragmentShader:vW,transparent:!0}),this.fsQuad=new Vm(this.material)}render(t,e){this._composer1.render(),this._composer2.render(),this.uniforms.texture1.value=this._composer1.readBuffer.texture,this.uniforms.texture2.value=this._composer2.readBuffer.texture,this.renderToScreen?(t.setRenderTarget(null),this.fsQuad.render(t)):(t.setRenderTarget(e),this.clear&&t.clear(t.autoClearColor,t.autoClearDepth,t.autoClearStencil),this.fsQuad.render(t))}}const xW=new class extends ua{};class bW extends bj{constructor(){super(...arguments),this.paramsConfig=xW}static type(){return\\\\\\\"layer\\\\\\\"}initializeNode(){super.initializeNode(),this.io.inputs.setCount(2)}setupComposer(t){const e=t.composer.renderer,n={minFilter:w.V,magFilter:w.V,format:w.Ib,stencilBuffer:!0},i=li.renderersController.renderTarget(e.domElement.offsetWidth,e.domElement.offsetHeight,n),s=li.renderersController.renderTarget(e.domElement.offsetWidth,e.domElement.offsetHeight,n),r=new qm(e,i),o=new qm(e,s);r.renderToScreen=!1,o.renderToScreen=!1;const a={...t},l={...t};a.composer=r,l.composer=o,this._addPassFromInput(0,a),this._addPassFromInput(1,l);const c=new yW(r,o);this.updatePass(c),t.composer.addPass(c)}updatePass(t){}}const wW=new class extends ua{constructor(){super(...arguments),this.overrideScene=ha.BOOLEAN(0,xj),this.scene=ha.OPERATOR_PATH(\\\\\\\"/scene1\\\\\\\",{visibleIf:{overrideScene:1},nodeSelection:{context:ts.OBJ,types:[WV.type()]},...xj}),this.overrideCamera=ha.BOOLEAN(0,xj),this.camera=ha.OPERATOR_PATH(\\\\\\\"/perspective_camera1\\\\\\\",{visibleIf:{overrideCamera:1},nodeSelection:{context:ts.OBJ},...xj}),this.inverse=ha.BOOLEAN(0,xj)}};class TW extends bj{constructor(){super(...arguments),this.paramsConfig=wW}static type(){return\\\\\\\"mask\\\\\\\"}_createPass(t){const e=new jm(t.scene,t.camera);return e.context={scene:t.scene,camera:t.camera},this.updatePass(e),e}updatePass(t){t.inverse=this.pv.inverse,this._update_scene(t),this._updateCamera(t)}async _update_scene(t){if(this.pv.overrideScene){this.p.scene.isDirty()&&await this.p.scene.compute();const e=this.p.scene.found_node_with_expected_type();if(e)return void(t.scene=e.object)}t.scene=t.context.scene}async _updateCamera(t){if(this.pv.overrideCamera){this.p.camera.isDirty()&&await this.p.camera.compute();const e=this.p.camera.found_node_with_expected_type();if(e)return void(t.camera=e.object)}t.camera=t.context.camera}}const AW=new class extends ua{};class MW extends bj{constructor(){super(...arguments),this.paramsConfig=AW}static type(){return\\\\\\\"null\\\\\\\"}}class EW extends km{constructor(t,e,n,i){super(),this.renderScene=e,this.renderCamera=n,this.selectedObjects=void 0!==i?i:[],this.visibleEdgeColor=new D.a(1,1,1),this.hiddenEdgeColor=new D.a(.1,.04,.02),this.edgeGlow=0,this.usePatternTexture=!1,this.edgeThickness=1,this.edgeStrength=3,this.downSampleRatio=2,this.pulsePeriod=0,this._visibilityCache=new Map,this.resolution=void 0!==t?new d.a(t.x,t.y):new d.a(256,256);const s={minFilter:w.V,magFilter:w.V,format:w.Ib},r=Math.round(this.resolution.x/this.downSampleRatio),o=Math.round(this.resolution.y/this.downSampleRatio);this.maskBufferMaterial=new lt.a({color:16777215}),this.maskBufferMaterial.side=w.z,this.renderTargetMaskBuffer=new K(this.resolution.x,this.resolution.y,s),this.renderTargetMaskBuffer.texture.name=\\\\\\\"OutlinePass.mask\\\\\\\",this.renderTargetMaskBuffer.texture.generateMipmaps=!1,this.depthMaterial=new Sn,this.depthMaterial.side=w.z,this.depthMaterial.depthPacking=w.Hb,this.depthMaterial.blending=w.ub,this.prepareMaskMaterial=this.getPrepareMaskMaterial(),this.prepareMaskMaterial.side=w.z,this.prepareMaskMaterial.fragmentShader=function(t,e){var n=e.isPerspectiveCamera?\\\\\\\"perspective\\\\\\\":\\\\\\\"orthographic\\\\\\\";return t.replace(/DEPTH_TO_VIEW_Z/g,n+\\\\\\\"DepthToViewZ\\\\\\\")}(this.prepareMaskMaterial.fragmentShader,this.renderCamera),this.renderTargetDepthBuffer=new K(this.resolution.x,this.resolution.y,s),this.renderTargetDepthBuffer.texture.name=\\\\\\\"OutlinePass.depth\\\\\\\",this.renderTargetDepthBuffer.texture.generateMipmaps=!1,this.renderTargetMaskDownSampleBuffer=new K(r,o,s),this.renderTargetMaskDownSampleBuffer.texture.name=\\\\\\\"OutlinePass.depthDownSample\\\\\\\",this.renderTargetMaskDownSampleBuffer.texture.generateMipmaps=!1,this.renderTargetBlurBuffer1=new K(r,o,s),this.renderTargetBlurBuffer1.texture.name=\\\\\\\"OutlinePass.blur1\\\\\\\",this.renderTargetBlurBuffer1.texture.generateMipmaps=!1,this.renderTargetBlurBuffer2=new K(Math.round(r/2),Math.round(o/2),s),this.renderTargetBlurBuffer2.texture.name=\\\\\\\"OutlinePass.blur2\\\\\\\",this.renderTargetBlurBuffer2.texture.generateMipmaps=!1,this.edgeDetectionMaterial=this.getEdgeDetectionMaterial(),this.renderTargetEdgeBuffer1=new K(r,o,s),this.renderTargetEdgeBuffer1.texture.name=\\\\\\\"OutlinePass.edge1\\\\\\\",this.renderTargetEdgeBuffer1.texture.generateMipmaps=!1,this.renderTargetEdgeBuffer2=new K(Math.round(r/2),Math.round(o/2),s),this.renderTargetEdgeBuffer2.texture.name=\\\\\\\"OutlinePass.edge2\\\\\\\",this.renderTargetEdgeBuffer2.texture.generateMipmaps=!1;this.separableBlurMaterial1=this.getSeperableBlurMaterial(4),this.separableBlurMaterial1.uniforms.texSize.value.set(r,o),this.separableBlurMaterial1.uniforms.kernelRadius.value=1,this.separableBlurMaterial2=this.getSeperableBlurMaterial(4),this.separableBlurMaterial2.uniforms.texSize.value.set(Math.round(r/2),Math.round(o/2)),this.separableBlurMaterial2.uniforms.kernelRadius.value=4,this.overlayMaterial=this.getOverlayMaterial(),void 0===zm&&console.error(\\\\\\\"THREE.OutlinePass relies on CopyShader\\\\\\\");const a=zm;this.copyUniforms=I.clone(a.uniforms),this.copyUniforms.opacity.value=1,this.materialCopy=new F({uniforms:this.copyUniforms,vertexShader:a.vertexShader,fragmentShader:a.fragmentShader,blending:w.ub,depthTest:!1,depthWrite:!1,transparent:!0}),this.enabled=!0,this.needsSwap=!1,this._oldClearColor=new D.a,this.oldClearAlpha=1,this.fsQuad=new Vm(null),this.tempPulseColor1=new D.a,this.tempPulseColor2=new D.a,this.textureMatrix=new A.a}dispose(){this.renderTargetMaskBuffer.dispose(),this.renderTargetDepthBuffer.dispose(),this.renderTargetMaskDownSampleBuffer.dispose(),this.renderTargetBlurBuffer1.dispose(),this.renderTargetBlurBuffer2.dispose(),this.renderTargetEdgeBuffer1.dispose(),this.renderTargetEdgeBuffer2.dispose()}setSize(t,e){this.renderTargetMaskBuffer.setSize(t,e),this.renderTargetDepthBuffer.setSize(t,e);let n=Math.round(t/this.downSampleRatio),i=Math.round(e/this.downSampleRatio);this.renderTargetMaskDownSampleBuffer.setSize(n,i),this.renderTargetBlurBuffer1.setSize(n,i),this.renderTargetEdgeBuffer1.setSize(n,i),this.separableBlurMaterial1.uniforms.texSize.value.set(n,i),n=Math.round(n/2),i=Math.round(i/2),this.renderTargetBlurBuffer2.setSize(n,i),this.renderTargetEdgeBuffer2.setSize(n,i),this.separableBlurMaterial2.uniforms.texSize.value.set(n,i)}changeVisibilityOfSelectedObjects(t){const e=this._visibilityCache;function n(n){n.isMesh&&(!0===t?n.visible=e.get(n):(e.set(n,n.visible),n.visible=t))}for(let t=0;t0){t.getClearColor(this._oldClearColor),this.oldClearAlpha=t.getClearAlpha();const e=t.autoClear;t.autoClear=!1,s&&t.state.buffers.stencil.setTest(!1),t.setClearColor(16777215,1),this.changeVisibilityOfSelectedObjects(!1);const i=this.renderScene.background;if(this.renderScene.background=null,this.renderScene.overrideMaterial=this.depthMaterial,t.setRenderTarget(this.renderTargetDepthBuffer),t.clear(),t.render(this.renderScene,this.renderCamera),this.changeVisibilityOfSelectedObjects(!0),this._visibilityCache.clear(),this.updateTextureMatrix(),this.changeVisibilityOfNonSelectedObjects(!1),this.renderScene.overrideMaterial=this.prepareMaskMaterial,this.prepareMaskMaterial.uniforms.cameraNearFar.value.set(this.renderCamera.near,this.renderCamera.far),this.prepareMaskMaterial.uniforms.depthTexture.value=this.renderTargetDepthBuffer.texture,this.prepareMaskMaterial.uniforms.textureMatrix.value=this.textureMatrix,t.setRenderTarget(this.renderTargetMaskBuffer),t.clear(),t.render(this.renderScene,this.renderCamera),this.renderScene.overrideMaterial=null,this.changeVisibilityOfNonSelectedObjects(!0),this._visibilityCache.clear(),this.renderScene.background=i,this.fsQuad.material=this.materialCopy,this.copyUniforms.tDiffuse.value=this.renderTargetMaskBuffer.texture,t.setRenderTarget(this.renderTargetMaskDownSampleBuffer),t.clear(),this.fsQuad.render(t),this.tempPulseColor1.copy(this.visibleEdgeColor),this.tempPulseColor2.copy(this.hiddenEdgeColor),this.pulsePeriod>0){const t=.625+.75*Math.cos(.01*performance.now()/this.pulsePeriod)/2;this.tempPulseColor1.multiplyScalar(t),this.tempPulseColor2.multiplyScalar(t)}this.fsQuad.material=this.edgeDetectionMaterial,this.edgeDetectionMaterial.uniforms.maskTexture.value=this.renderTargetMaskDownSampleBuffer.texture,this.edgeDetectionMaterial.uniforms.texSize.value.set(this.renderTargetMaskDownSampleBuffer.width,this.renderTargetMaskDownSampleBuffer.height),this.edgeDetectionMaterial.uniforms.visibleEdgeColor.value=this.tempPulseColor1,this.edgeDetectionMaterial.uniforms.hiddenEdgeColor.value=this.tempPulseColor2,t.setRenderTarget(this.renderTargetEdgeBuffer1),t.clear(),this.fsQuad.render(t),this.fsQuad.material=this.separableBlurMaterial1,this.separableBlurMaterial1.uniforms.colorTexture.value=this.renderTargetEdgeBuffer1.texture,this.separableBlurMaterial1.uniforms.direction.value=EW.BlurDirectionX,this.separableBlurMaterial1.uniforms.kernelRadius.value=this.edgeThickness,t.setRenderTarget(this.renderTargetBlurBuffer1),t.clear(),this.fsQuad.render(t),this.separableBlurMaterial1.uniforms.colorTexture.value=this.renderTargetBlurBuffer1.texture,this.separableBlurMaterial1.uniforms.direction.value=EW.BlurDirectionY,t.setRenderTarget(this.renderTargetEdgeBuffer1),t.clear(),this.fsQuad.render(t),this.fsQuad.material=this.separableBlurMaterial2,this.separableBlurMaterial2.uniforms.colorTexture.value=this.renderTargetEdgeBuffer1.texture,this.separableBlurMaterial2.uniforms.direction.value=EW.BlurDirectionX,t.setRenderTarget(this.renderTargetBlurBuffer2),t.clear(),this.fsQuad.render(t),this.separableBlurMaterial2.uniforms.colorTexture.value=this.renderTargetBlurBuffer2.texture,this.separableBlurMaterial2.uniforms.direction.value=EW.BlurDirectionY,t.setRenderTarget(this.renderTargetEdgeBuffer2),t.clear(),this.fsQuad.render(t),this.fsQuad.material=this.overlayMaterial,this.overlayMaterial.uniforms.maskTexture.value=this.renderTargetMaskBuffer.texture,this.overlayMaterial.uniforms.edgeTexture1.value=this.renderTargetEdgeBuffer1.texture,this.overlayMaterial.uniforms.edgeTexture2.value=this.renderTargetEdgeBuffer2.texture,this.overlayMaterial.uniforms.patternTexture.value=this.patternTexture,this.overlayMaterial.uniforms.edgeStrength.value=this.edgeStrength,this.overlayMaterial.uniforms.edgeGlow.value=this.edgeGlow,this.overlayMaterial.uniforms.usePatternTexture.value=this.usePatternTexture,s&&t.state.buffers.stencil.setTest(!0),t.setRenderTarget(n),this.fsQuad.render(t),t.setClearColor(this._oldClearColor,this.oldClearAlpha),t.autoClear=e}this.renderToScreen&&(this.fsQuad.material=this.materialCopy,this.copyUniforms.tDiffuse.value=n.texture,t.setRenderTarget(null),this.fsQuad.render(t))}getPrepareMaskMaterial(){return new F({uniforms:{depthTexture:{value:null},cameraNearFar:{value:new d.a(.5,.5)},textureMatrix:{value:null}},vertexShader:\\\\\\\"#include \\\\n\\\\t\\\\t\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvarying vec4 projTexCoord;\\\\n\\\\t\\\\t\\\\t\\\\tvarying vec4 vPosition;\\\\n\\\\t\\\\t\\\\t\\\\tuniform mat4 textureMatrix;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t#include \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t#include \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t#include \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t#include \\\\n\\\\t\\\\t\\\\t\\\\t\\\\t#include \\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvPosition = mvPosition;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 worldPosition = modelMatrix * vec4( transformed, 1.0 );\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tprojTexCoord = textureMatrix * worldPosition;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"#include \\\\n\\\\t\\\\t\\\\t\\\\tvarying vec4 vPosition;\\\\n\\\\t\\\\t\\\\t\\\\tvarying vec4 projTexCoord;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D depthTexture;\\\\n\\\\t\\\\t\\\\t\\\\tuniform vec2 cameraNearFar;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat depth = unpackRGBAToDepth(texture2DProj( depthTexture, projTexCoord ));\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat viewZ = - DEPTH_TO_VIEW_Z( depth, cameraNearFar.x, cameraNearFar.y );\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat depthTest = (-vPosition.z > viewZ) ? 1.0 : 0.0;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor = vec4(0.0, depthTest, 1.0, 1.0);\\\\n\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\"})}getEdgeDetectionMaterial(){return new F({uniforms:{maskTexture:{value:null},texSize:{value:new d.a(.5,.5)},visibleEdgeColor:{value:new p.a(1,1,1)},hiddenEdgeColor:{value:new p.a(1,1,1)}},vertexShader:\\\\\\\"varying vec2 vUv;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"varying vec2 vUv;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D maskTexture;\\\\n\\\\t\\\\t\\\\t\\\\tuniform vec2 texSize;\\\\n\\\\t\\\\t\\\\t\\\\tuniform vec3 visibleEdgeColor;\\\\n\\\\t\\\\t\\\\t\\\\tuniform vec3 hiddenEdgeColor;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec2 invSize = 1.0 / texSize;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 uvOffset = vec4(1.0, 0.0, 0.0, 1.0) * vec4(invSize, invSize);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 c1 = texture2D( maskTexture, vUv + uvOffset.xy);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 c2 = texture2D( maskTexture, vUv - uvOffset.xy);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 c3 = texture2D( maskTexture, vUv + uvOffset.yw);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 c4 = texture2D( maskTexture, vUv - uvOffset.yw);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat diff1 = (c1.r - c2.r)*0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat diff2 = (c3.r - c4.r)*0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat d = length( vec2(diff1, diff2) );\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat a1 = min(c1.g, c2.g);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat a2 = min(c3.g, c4.g);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat visibilityFactor = min(a1, a2);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec3 edgeColor = 1.0 - visibilityFactor > 0.001 ? visibleEdgeColor : hiddenEdgeColor;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor = vec4(edgeColor, 1.0) * vec4(d);\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\"})}getSeperableBlurMaterial(t){return new F({defines:{MAX_RADIUS:t},uniforms:{colorTexture:{value:null},texSize:{value:new d.a(.5,.5)},direction:{value:new d.a(.5,.5)},kernelRadius:{value:1}},vertexShader:\\\\\\\"varying vec2 vUv;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"#include \\\\n\\\\t\\\\t\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D colorTexture;\\\\n\\\\t\\\\t\\\\t\\\\tuniform vec2 texSize;\\\\n\\\\t\\\\t\\\\t\\\\tuniform vec2 direction;\\\\n\\\\t\\\\t\\\\t\\\\tuniform float kernelRadius;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfloat gaussianPdf(in float x, in float sigma) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\treturn 0.39894 * exp( -0.5 * x * x/( sigma * sigma))/sigma;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec2 invSize = 1.0 / texSize;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat weightSum = gaussianPdf(0.0, kernelRadius);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 diffuseSum = texture2D( colorTexture, vUv) * weightSum;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec2 delta = direction * invSize * kernelRadius/float(MAX_RADIUS);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec2 uvOffset = delta;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfor( int i = 1; i <= MAX_RADIUS; i ++ ) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tfloat w = gaussianPdf(uvOffset.x, kernelRadius);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tvec4 sample1 = texture2D( colorTexture, vUv + uvOffset);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tvec4 sample2 = texture2D( colorTexture, vUv - uvOffset);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdiffuseSum += ((sample1 + sample2) * w);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tweightSum += (2.0 * w);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tuvOffset += delta;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor = diffuseSum/weightSum;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\"})}getOverlayMaterial(){return new F({uniforms:{maskTexture:{value:null},edgeTexture1:{value:null},edgeTexture2:{value:null},patternTexture:{value:null},edgeStrength:{value:1},edgeGlow:{value:1},usePatternTexture:{value:0}},vertexShader:\\\\\\\"varying vec2 vUv;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"varying vec2 vUv;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D maskTexture;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D edgeTexture1;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D edgeTexture2;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D patternTexture;\\\\n\\\\t\\\\t\\\\t\\\\tuniform float edgeStrength;\\\\n\\\\t\\\\t\\\\t\\\\tuniform float edgeGlow;\\\\n\\\\t\\\\t\\\\t\\\\tuniform bool usePatternTexture;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 edgeValue1 = texture2D(edgeTexture1, vUv);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 edgeValue2 = texture2D(edgeTexture2, vUv);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 maskColor = texture2D(maskTexture, vUv);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 patternColor = texture2D(patternTexture, 6.0 * vUv);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat visibilityFactor = 1.0 - maskColor.g > 0.0 ? 1.0 : 0.5;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 edgeValue = edgeValue1 + edgeValue2 * edgeGlow;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec4 finalColor = edgeStrength * maskColor.r * edgeValue;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tif(usePatternTexture)\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tfinalColor += + visibilityFactor * (1.0 - maskColor.r) * (1.0 - patternColor.r);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor = finalColor;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\",blending:w.e,depthTest:!1,depthWrite:!1,transparent:!0})}}EW.BlurDirectionX=new d.a(1,0),EW.BlurDirectionY=new d.a(0,1);const SW=new class extends ua{constructor(){super(...arguments),this.objectsMask=ha.STRING(\\\\\\\"*outlined*\\\\\\\",{...xj}),this.refreshObjects=ha.BUTTON(null,{...xj}),this.printObjects=ha.BUTTON(null,{cook:!1,callback:t=>{CW.PARAM_CALLBACK_printResolve(t)}}),this.edgeStrength=ha.FLOAT(3,{range:[0,10],rangeLocked:[!0,!1],...xj}),this.edgeThickness=ha.FLOAT(1,{range:[0,4],rangeLocked:[!0,!1],...xj}),this.edgeGlow=ha.FLOAT(0,{range:[0,1],rangeLocked:[!0,!1],...xj}),this.pulsePeriod=ha.FLOAT(0,{range:[0,5],rangeLocked:[!0,!1],...xj}),this.visibleEdgeColor=ha.COLOR([1,1,1],{...xj}),this.hiddenEdgeColor=ha.COLOR([.2,.1,.4],{...xj})}};class CW extends bj{constructor(){super(...arguments),this.paramsConfig=SW,this._resolvedObjects=[],this._map=new Map}static type(){return\\\\\\\"outline\\\\\\\"}_createPass(t){const e=new EW(new d.a(t.resolution.x,t.resolution.y),t.scene,t.camera,t.scene.children);return this.updatePass(e),e}updatePass(t){t.edgeStrength=this.pv.edgeStrength,t.edgeThickness=this.pv.edgeThickness,t.edgeGlow=this.pv.edgeGlow,t.pulsePeriod=this.pv.pulsePeriod,t.visibleEdgeColor=this.pv.visibleEdgeColor,t.hiddenEdgeColor=this.pv.hiddenEdgeColor,this._setSelectedObjects(t)}_setSelectedObjects(t){const e=this.scene().objectsByMask(this.pv.objectsMask);this._map.clear();for(let t of e)this._map.set(t.uuid,t);this._resolvedObjects=e.filter((t=>{let e=!1;return t.traverseAncestors((t=>{this._map.has(t.uuid)&&(e=!0)})),!e})),t.selectedObjects=this._resolvedObjects}static PARAM_CALLBACK_printResolve(t){t.printResolve()}printResolve(){console.log(this._resolvedObjects)}}const NW={uniforms:{tDiffuse:{value:null},resolution:{value:null},pixelSize:{value:1}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying highp vec2 vUv;\\\\n\\\\n\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\t\\\\tuniform float pixelSize;\\\\n\\\\t\\\\tuniform vec2 resolution;\\\\n\\\\n\\\\t\\\\tvarying highp vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main(){\\\\n\\\\n\\\\t\\\\t\\\\tvec2 dxy = pixelSize / resolution;\\\\n\\\\t\\\\t\\\\tvec2 coord = dxy * floor( vUv / dxy );\\\\n\\\\t\\\\t\\\\tgl_FragColor = texture2D(tDiffuse, coord);\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const LW=new class extends ua{constructor(){super(...arguments),this.pixelSize=ha.INTEGER(16,{range:[1,50],rangeLocked:[!0,!1],...xj})}};class OW extends bj{constructor(){super(...arguments),this.paramsConfig=LW}static type(){return\\\\\\\"pixel\\\\\\\"}_createPass(t){const e=new Hm(NW);return e.uniforms.resolution.value=t.resolution,e.uniforms.resolution.value.multiplyScalar(window.devicePixelRatio),this.updatePass(e),e}updatePass(t){t.uniforms.pixelSize.value=this.pv.pixelSize}}const PW=new class extends ua{constructor(){super(...arguments),this.overrideScene=ha.BOOLEAN(0,xj),this.scene=ha.OPERATOR_PATH(\\\\\\\"/scene1\\\\\\\",{visibleIf:{overrideScene:1},nodeSelection:{context:ts.OBJ,types:[WV.type()]},...xj}),this.overrideCamera=ha.BOOLEAN(0,xj),this.camera=ha.OPERATOR_PATH(\\\\\\\"/perspective_camera1\\\\\\\",{visibleIf:{overrideCamera:1},nodeSelection:{context:ts.OBJ},...xj})}};class RW extends bj{constructor(){super(...arguments),this.paramsConfig=PW}static type(){return\\\\\\\"render\\\\\\\"}_createPass(t){const e=new Ym(t.scene,t.camera);return e.context={camera:t.camera,scene:t.scene},this.updatePass(e),e}updatePass(t){this._updateCamera(t),this._update_scene(t)}async _updateCamera(t){if(this.pv.overrideCamera){this.p.camera.isDirty()&&await this.p.camera.compute();const e=this.p.camera.found_node_with_context(ts.OBJ);if(e&&(e.type()==is.PERSPECTIVE||e.type()==is.ORTHOGRAPHIC)){const n=e.object;t.camera=n}}else t.camera=t.context.camera}async _update_scene(t){if(this.pv.overrideScene){this.p.camera.isDirty()&&await this.p.scene.compute();const e=this.p.scene.found_node_with_context(ts.OBJ);if(e&&e.type()==WV.type()){const n=e.object;t.scene=n}}else t.scene=t.context.scene}}const IW={uniforms:{tDiffuse:{value:null},amount:{value:.005},angle:{value:0}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\t\\\\tuniform float amount;\\\\n\\\\t\\\\tuniform float angle;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec2 offset = amount * vec2( cos(angle), sin(angle));\\\\n\\\\t\\\\t\\\\tvec4 cr = texture2D(tDiffuse, vUv + offset);\\\\n\\\\t\\\\t\\\\tvec4 cga = texture2D(tDiffuse, vUv);\\\\n\\\\t\\\\t\\\\tvec4 cb = texture2D(tDiffuse, vUv - offset);\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4(cr.r, cga.g, cb.b, cga.a);\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const FW=new class extends ua{constructor(){super(...arguments),this.amount=ha.FLOAT(.005,{range:[0,1],rangeLocked:[!0,!1],...xj}),this.angle=ha.FLOAT(0,{range:[0,10],rangeLocked:[!0,!1],...xj})}};class DW extends bj{constructor(){super(...arguments),this.paramsConfig=FW}static type(){return\\\\\\\"RGBShift\\\\\\\"}_createPass(t){const e=new Hm(IW);return this.updatePass(e),e}updatePass(t){t.uniforms.amount.value=this.pv.amount,t.uniforms.angle.value=this.pv.angle}}const BW={uniforms:{tDiffuse:{value:null},amount:{value:1}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform float amount;\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 color = texture2D( tDiffuse, vUv );\\\\n\\\\t\\\\t\\\\tvec3 c = color.rgb;\\\\n\\\\n\\\\t\\\\t\\\\tcolor.r = dot( c, vec3( 1.0 - 0.607 * amount, 0.769 * amount, 0.189 * amount ) );\\\\n\\\\t\\\\t\\\\tcolor.g = dot( c, vec3( 0.349 * amount, 1.0 - 0.314 * amount, 0.168 * amount ) );\\\\n\\\\t\\\\t\\\\tcolor.b = dot( c, vec3( 0.272 * amount, 0.534 * amount, 1.0 - 0.869 * amount ) );\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4( min( vec3( 1.0 ), color.rgb ), color.a );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const zW=new class extends ua{constructor(){super(...arguments),this.amount=ha.FLOAT(.5,{range:[0,2],rangeLocked:[!1,!1],...xj})}};class kW extends bj{constructor(){super(...arguments),this.paramsConfig=zW}static type(){return\\\\\\\"sepia\\\\\\\"}_createPass(t){const e=new Hm(BW);return this.updatePass(e),e}updatePass(t){t.uniforms.amount.value=this.pv.amount}}const UW=new class extends ua{};class GW extends bj{constructor(){super(...arguments),this.paramsConfig=UW}static type(){return\\\\\\\"sequence\\\\\\\"}initializeNode(){super.initializeNode(),this.io.inputs.setCount(0,4)}setupComposer(t){this._addPassFromInput(0,t),this._addPassFromInput(1,t),this._addPassFromInput(2,t),this._addPassFromInput(3,t)}}const VW=I.clone(CG.uniforms);VW.delta={value:new d.a};const HW={uniforms:VW,vertexShader:CG.vertexShader,fragmentShader:\\\\\\\"\\\\n#include \\\\n#define ITERATIONS 10.0\\\\nuniform sampler2D tDiffuse;\\\\nuniform vec2 delta;\\\\nvarying vec2 vUv;\\\\nvoid main() {\\\\n\\\\tvec4 color = vec4( 0.0 );\\\\n\\\\tfloat total = 0.0;\\\\n\\\\tfloat offset = rand( vUv );\\\\n\\\\tfor ( float t = -ITERATIONS; t <= ITERATIONS; t ++ ) {\\\\n\\\\t\\\\tfloat percent = ( t + offset - 0.5 ) / ITERATIONS;\\\\n\\\\t\\\\tfloat weight = 1.0 - abs( percent );\\\\n\\\\t\\\\tcolor += texture2D( tDiffuse, vUv + delta * percent ) * weight;\\\\n\\\\t\\\\ttotal += weight;\\\\n\\\\t}\\\\n\\\\tgl_FragColor = color / total;\\\\n}\\\\\\\"};const jW=new class extends ua{constructor(){super(...arguments),this.delta=ha.VECTOR2([2,2],{...xj})}};class WW extends bj{constructor(){super(...arguments),this.paramsConfig=jW}static type(){return\\\\\\\"triangleBlur\\\\\\\"}_createPass(t){const e=new Hm(HW);return e.resolution=t.resolution.clone(),this.updatePass(e),e}updatePass(t){t.uniforms.delta.value.copy(this.pv.delta).divide(t.resolution).multiplyScalar(window.devicePixelRatio)}}const qW={shaderID:\\\\\\\"luminosityHighPass\\\\\\\",uniforms:{tDiffuse:{value:null},luminosityThreshold:{value:1},smoothWidth:{value:1},defaultColor:{value:new D.a(0)},defaultOpacity:{value:0}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\t\\\\tuniform vec3 defaultColor;\\\\n\\\\t\\\\tuniform float defaultOpacity;\\\\n\\\\t\\\\tuniform float luminosityThreshold;\\\\n\\\\t\\\\tuniform float smoothWidth;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvec4 texel = texture2D( tDiffuse, vUv );\\\\n\\\\n\\\\t\\\\t\\\\tvec3 luma = vec3( 0.299, 0.587, 0.114 );\\\\n\\\\n\\\\t\\\\t\\\\tfloat v = dot( texel.xyz, luma );\\\\n\\\\n\\\\t\\\\t\\\\tvec4 outputColor = vec4( defaultColor.rgb, defaultOpacity );\\\\n\\\\n\\\\t\\\\t\\\\tfloat alpha = smoothstep( luminosityThreshold, luminosityThreshold + smoothWidth, v );\\\\n\\\\n\\\\t\\\\t\\\\tgl_FragColor = mix( outputColor, texel, alpha );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};class XW extends km{constructor(t,e,n,i){super(),this.strength=void 0!==e?e:1,this.radius=n,this.threshold=i,this.resolution=void 0!==t?new d.a(t.x,t.y):new d.a(256,256),this.clearColor=new D.a(0,0,0);const s={minFilter:w.V,magFilter:w.V,format:w.Ib};this.renderTargetsHorizontal=[],this.renderTargetsVertical=[],this.nMips=5;let r=Math.round(this.resolution.x/2),o=Math.round(this.resolution.y/2);this.renderTargetBright=new K(r,o,s),this.renderTargetBright.texture.name=\\\\\\\"UnrealBloomPass.bright\\\\\\\",this.renderTargetBright.texture.generateMipmaps=!1;for(let t=0;t\\\\n\\\\t\\\\t\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D colorTexture;\\\\n\\\\t\\\\t\\\\t\\\\tuniform vec2 texSize;\\\\n\\\\t\\\\t\\\\t\\\\tuniform vec2 direction;\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfloat gaussianPdf(in float x, in float sigma) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\treturn 0.39894 * exp( -0.5 * x * x/( sigma * sigma))/sigma;\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec2 invSize = 1.0 / texSize;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat fSigma = float(SIGMA);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat weightSum = gaussianPdf(0.0, fSigma);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvec3 diffuseSum = texture2D( colorTexture, vUv).rgb * weightSum;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfor( int i = 1; i < KERNEL_RADIUS; i ++ ) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tfloat x = float(i);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tfloat w = gaussianPdf(x, fSigma);\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tvec2 uvOffset = direction * invSize * x;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tvec3 sample1 = texture2D( colorTexture, vUv + uvOffset).rgb;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tvec3 sample2 = texture2D( colorTexture, vUv - uvOffset).rgb;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tdiffuseSum += (sample1 + sample2) * w;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tweightSum += 2.0 * w;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor = vec4(diffuseSum/weightSum, 1.0);\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\"})}getCompositeMaterial(t){return new F({defines:{NUM_MIPS:t},uniforms:{blurTexture1:{value:null},blurTexture2:{value:null},blurTexture3:{value:null},blurTexture4:{value:null},blurTexture5:{value:null},dirtTexture:{value:null},bloomStrength:{value:1},bloomFactors:{value:null},bloomTintColors:{value:null},bloomRadius:{value:0}},vertexShader:\\\\\\\"varying vec2 vUv;\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"varying vec2 vUv;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D blurTexture1;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D blurTexture2;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D blurTexture3;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D blurTexture4;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D blurTexture5;\\\\n\\\\t\\\\t\\\\t\\\\tuniform sampler2D dirtTexture;\\\\n\\\\t\\\\t\\\\t\\\\tuniform float bloomStrength;\\\\n\\\\t\\\\t\\\\t\\\\tuniform float bloomRadius;\\\\n\\\\t\\\\t\\\\t\\\\tuniform float bloomFactors[NUM_MIPS];\\\\n\\\\t\\\\t\\\\t\\\\tuniform vec3 bloomTintColors[NUM_MIPS];\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tfloat lerpBloomFactor(const in float factor) {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tfloat mirrorFactor = 1.2 - factor;\\\\n\\\\t\\\\t\\\\t\\\\t\\\\treturn mix(factor, mirrorFactor, bloomRadius);\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\n\\\\n\\\\t\\\\t\\\\t\\\\tvoid main() {\\\\n\\\\t\\\\t\\\\t\\\\t\\\\tgl_FragColor = bloomStrength * ( lerpBloomFactor(bloomFactors[0]) * vec4(bloomTintColors[0], 1.0) * texture2D(blurTexture1, vUv) +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tlerpBloomFactor(bloomFactors[1]) * vec4(bloomTintColors[1], 1.0) * texture2D(blurTexture2, vUv) +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tlerpBloomFactor(bloomFactors[2]) * vec4(bloomTintColors[2], 1.0) * texture2D(blurTexture3, vUv) +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tlerpBloomFactor(bloomFactors[3]) * vec4(bloomTintColors[3], 1.0) * texture2D(blurTexture4, vUv) +\\\\n\\\\t\\\\t\\\\t\\\\t\\\\t\\\\tlerpBloomFactor(bloomFactors[4]) * vec4(bloomTintColors[4], 1.0) * texture2D(blurTexture5, vUv) );\\\\n\\\\t\\\\t\\\\t\\\\t}\\\\\\\"})}}XW.BlurDirectionX=new d.a(1,0),XW.BlurDirectionY=new d.a(0,1);const YW=new class extends ua{constructor(){super(...arguments),this.strength=ha.FLOAT(1.5,{range:[0,3],rangeLocked:[!0,!1],...xj}),this.radius=ha.FLOAT(1,{...xj}),this.threshold=ha.FLOAT(0,{...xj})}};class $W extends bj{constructor(){super(...arguments),this.paramsConfig=YW}static type(){return\\\\\\\"unrealBloom\\\\\\\"}_createPass(t){return new XW(new d.a(t.resolution.x,t.resolution.y),this.pv.strength,this.pv.radius,this.pv.threshold)}updatePass(t){t.strength=this.pv.strength,t.radius=this.pv.radius,t.threshold=this.pv.threshold}}const JW=new class extends ua{constructor(){super(...arguments),this.amount=ha.FLOAT(2,{range:[0,10],rangeLocked:[!0,!1],step:.01,...xj}),this.transparent=ha.BOOLEAN(1,xj)}};class ZW extends bj{constructor(){super(...arguments),this.paramsConfig=JW}static type(){return\\\\\\\"verticalBlur\\\\\\\"}_createPass(t){const e=new Hm(NG);return e.resolution_y=t.resolution.y,this.updatePass(e),e}updatePass(t){t.uniforms.v.value=this.pv.amount/(t.resolution_y*window.devicePixelRatio),t.material.transparent=this.pv.transparent}}const KW={uniforms:{tDiffuse:{value:null},offset:{value:1},darkness:{value:1}},vertexShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\tvUv = uv;\\\\n\\\\t\\\\t\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n\\\\t\\\\t}\\\\\\\",fragmentShader:\\\\\\\"\\\\n\\\\n\\\\t\\\\tuniform float offset;\\\\n\\\\t\\\\tuniform float darkness;\\\\n\\\\n\\\\t\\\\tuniform sampler2D tDiffuse;\\\\n\\\\n\\\\t\\\\tvarying vec2 vUv;\\\\n\\\\n\\\\t\\\\tvoid main() {\\\\n\\\\n\\\\t\\\\t\\\\t// Eskil's vignette\\\\n\\\\n\\\\t\\\\t\\\\tvec4 texel = texture2D( tDiffuse, vUv );\\\\n\\\\t\\\\t\\\\tvec2 uv = ( vUv - vec2( 0.5 ) ) * vec2( offset );\\\\n\\\\t\\\\t\\\\tgl_FragColor = vec4( mix( texel.rgb, vec3( 1.0 - darkness ), dot( uv, uv ) ), texel.a );\\\\n\\\\n\\\\t\\\\t}\\\\\\\"};const QW=new class extends ua{constructor(){super(...arguments),this.offset=ha.FLOAT(1,{range:[0,1],rangeLocked:[!1,!1],...xj}),this.darkness=ha.FLOAT(1,{range:[0,2],rangeLocked:[!0,!1],...xj})}};class tq extends bj{constructor(){super(...arguments),this.paramsConfig=QW}static type(){return\\\\\\\"vignette\\\\\\\"}_createPass(t){const e=new Hm(KW);return this.updatePass(e),e}updatePass(t){t.uniforms.offset.value=this.pv.offset,t.uniforms.darkness.value=this.pv.darkness}}class eq extends aa{static context(){return ts.POST}cook(){this.cookController.endCook()}}class nq extends eq{}class iq extends nq{constructor(){super(...arguments),this._children_controller_context=ts.ANIM}static type(){return es.ANIM}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class sq extends nq{constructor(){super(...arguments),this._children_controller_context=ts.COP}static type(){return es.COP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class rq extends nq{constructor(){super(...arguments),this._children_controller_context=ts.EVENT}static type(){return es.EVENT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class oq extends nq{constructor(){super(...arguments),this._children_controller_context=ts.MAT}static type(){return es.MAT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class aq extends eq{constructor(){super(...arguments),this.paramsConfig=new ef,this.effectsComposerController=new nf(this),this.displayNodeController=new Fm(this,this.effectsComposerController.displayNodeControllerCallbacks()),this._children_controller_context=ts.POST}static type(){return es.POST}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class lq extends nq{constructor(){super(...arguments),this._children_controller_context=ts.ROP}static type(){return es.ROP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class cq extends aa{static context(){return ts.ROP}cook(){this.cookController.endCook()}}class hq extends cq{}class uq extends hq{constructor(){super(...arguments),this._children_controller_context=ts.COP}static type(){return es.COP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class dq extends Q.a{constructor(t){super(),this._element=t,this._element.style.position=\\\\\\\"absolute\\\\\\\",this.addEventListener(\\\\\\\"removed\\\\\\\",this._on_removed.bind(this))}_on_removed(){this.traverse((function(t){t instanceof dq&&t.element instanceof Element&&null!==t.element.parentNode&&t.element.parentNode.removeChild(t.element)}))}get element(){return this._element}clone(t){const e=this._element.cloneNode(!0);return new dq(e).copy(this,t)}copy(t,e){return Q.a.prototype.copy.call(this,t,e),this._element=t.element.cloneNode(!0),this.matrixAutoUpdate=t.matrixAutoUpdate,this}}class pq{constructor(){this._width=0,this._height=0,this._widthHalf=0,this._heightHalf=0,this.vector=new p.a,this.viewMatrix=new A.a,this.viewProjectionMatrix=new A.a,this.cache_distanceToCameraSquared=new WeakMap,this.domElement=document.createElement(\\\\\\\"div\\\\\\\"),this._sort_objects=!1,this._use_fog=!1,this._fog_near=1,this._fog_far=100,this.a=new p.a,this.b=new p.a,this.domElement.classList.add(\\\\\\\"polygonjs-CSS2DRenderer\\\\\\\")}getSize(){return{width:this._width,height:this._height}}setSize(t,e){this._width=t,this._height=e,this._widthHalf=this._width/2,this._heightHalf=this._height/2,this.domElement.style.width=t+\\\\\\\"px\\\\\\\",this.domElement.style.height=e+\\\\\\\"px\\\\\\\"}renderObject(t,e,n){if(t instanceof dq){this.vector.setFromMatrixPosition(t.matrixWorld),this.vector.applyMatrix4(this.viewProjectionMatrix);var i=t.element,s=\\\\\\\"translate(-50%,-50%) translate(\\\\\\\"+(this.vector.x*this._widthHalf+this._widthHalf)+\\\\\\\"px,\\\\\\\"+(-this.vector.y*this._heightHalf+this._heightHalf)+\\\\\\\"px)\\\\\\\";if(i.style.webkitTransform=s,i.style.transform=s,i.style.display=t.visible&&this.vector.z>=-1&&this.vector.z<=1?\\\\\\\"\\\\\\\":\\\\\\\"none\\\\\\\",this._sort_objects||this._use_fog){const e=this.getDistanceToSquared(n,t);if(this._use_fog){const t=Math.sqrt(e),n=or.fit(t,this._fog_near,this._fog_far,0,1),s=or.clamp(1-n,0,1);i.style.opacity=`${s}`,0==s&&(i.style.display=\\\\\\\"none\\\\\\\")}this.cache_distanceToCameraSquared.set(t,e)}i.parentNode!==this.domElement&&this.domElement.appendChild(i)}for(var r=0,o=t.children.length;r{const n=this.cache_distanceToCameraSquared.get(t),i=this.cache_distanceToCameraSquared.get(e);return null!=n&&null!=i?n-i:0})),n=e.length;for(let t=0,i=e.length;t{this._update_renderer(t)})),this.cookController.endCook()}_update_renderer(t){t.set_sorting(this.pv.sortObjects),t.set_use_fog(this.pv.useFog),t.set_fog_range(this.pv.fogNear,this.pv.fogFar)}_update_css(){this.css_element().innerHTML=this.pv.css}css_element(){return this._css_element=this._css_element||this._find_element()||this._create_element()}_find_element(){return document.getElementById(this._css_element_id())}_create_element(){const t=document.createElement(\\\\\\\"style\\\\\\\");return t.appendChild(document.createTextNode(\\\\\\\"\\\\\\\")),document.head.appendChild(t),t.id=this._css_element_id(),t}_css_element_id(){return`css_2d_renderer-${this.graphNodeId()}`}}class fq extends hq{constructor(){super(...arguments),this._children_controller_context=ts.ANIM}static type(){return es.ANIM}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class gq extends hq{constructor(){super(...arguments),this._children_controller_context=ts.EVENT}static type(){return es.EVENT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class vq extends hq{constructor(){super(...arguments),this._children_controller_context=ts.MAT}static type(){return es.MAT}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class yq extends cq{constructor(){super(...arguments),this.paramsConfig=new ef,this.effectsComposerController=new nf(this),this.displayNodeController=new Fm(this,this.effectsComposerController.displayNodeControllerCallbacks()),this._children_controller_context=ts.POST}static type(){return es.POST}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class xq extends hq{constructor(){super(...arguments),this._children_controller_context=ts.ROP}static type(){return es.ROP}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}}class bq extends aV{static type(){return\\\\\\\"add\\\\\\\"}cook(t,e){const n=[];return this._create_point(n,e),this._create_polygon(t[0],n,e),this.createCoreGroupFromObjects(n)}_create_point(t,e){if(!e.createPoint)return;const n=new S.a,i=[];for(let t=0;t0&&this._create_polygon_open(t,e,n)}_create_polygon_open(t,e,n){const i=t.points();let s=[];const r=[];let o;for(let t=0;t0&&(r.push(t-1),r.push(t));if(i.length>2&&n.connectToLastPoint){i[0].position().toArray(s,s.length);const t=r[r.length-1];r.push(t),r.push(0)}const a=new S.a;a.setAttribute(\\\\\\\"position\\\\\\\",new C.c(s,3)),a.setIndex(r);const l=this.createObject(a,Ns.LINE_SEGMENTS);e.push(l)}}bq.DEFAULT_PARAMS={createPoint:!0,pointsCount:1,position:new p.a(0,0,0),connectInputPoints:!1,connectToLastPoint:!1};const wq=bq.DEFAULT_PARAMS;const Tq=new class extends ua{constructor(){super(...arguments),this.createPoint=ha.BOOLEAN(wq.createPoint),this.pointsCount=ha.INTEGER(wq.pointsCount,{range:[1,100],rangeLocked:[!0,!1],visibleIf:{createPoint:!0}}),this.position=ha.VECTOR3(wq.position,{visibleIf:{createPoint:!0}}),this.connectInputPoints=ha.BOOLEAN(wq.connectInputPoints),this.connectToLastPoint=ha.BOOLEAN(wq.connectToLastPoint)}};class Aq extends uV{constructor(){super(...arguments),this.paramsConfig=Tq}static type(){return\\\\\\\"add\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to create polygons from (optional)\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1)}cook(t){this._operation=this._operation||new bq(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const Mq=new class extends ua{};class Eq extends uV{constructor(){super(...arguments),this.paramsConfig=Mq}static type(){return\\\\\\\"animationCopy\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to copy animation to\\\\\\\",\\\\\\\"geometry to copy animation from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(2),this.io.inputs.initInputsClonedState([Qi.FROM_NODE,Qi.NEVER])}cook(t){const e=t[0],n=t[1].objects()[0],i=e.objects()[0],s=n.animations;s?(i.animations=s.map((t=>t.clone())),this.setCoreGroup(e)):this.states.error.set(\\\\\\\"no animation found\\\\\\\")}}class Sq{constructor(t,e,n=null,i=e.blendMode){this._mixer=t,this._clip=e,this._localRoot=n,this.blendMode=i;const s=e.tracks,r=s.length,o=new Array(r),a={endingStart:w.id,endingEnd:w.id};for(let t=0;t!==r;++t){const e=s[t].createInterpolant(null);o[t]=e,e.settings=a}this._interpolantSettings=a,this._interpolants=o,this._propertyBindings=new Array(r),this._cacheIndex=null,this._byClipCacheIndex=null,this._timeScaleInterpolant=null,this._weightInterpolant=null,this.loop=w.eb,this._loopCount=-1,this._startTime=null,this.time=0,this.timeScale=1,this._effectiveTimeScale=1,this.weight=1,this._effectiveWeight=1,this.repetitions=1/0,this.paused=!1,this.enabled=!0,this.clampWhenFinished=!1,this.zeroSlopeAtStart=!0,this.zeroSlopeAtEnd=!0}play(){return this._mixer._activateAction(this),this}stop(){return this._mixer._deactivateAction(this),this.reset()}reset(){return this.paused=!1,this.enabled=!0,this.time=0,this._loopCount=-1,this._startTime=null,this.stopFading().stopWarping()}isRunning(){return this.enabled&&!this.paused&&0!==this.timeScale&&null===this._startTime&&this._mixer._isActiveAction(this)}isScheduled(){return this._mixer._isActiveAction(this)}startAt(t){return this._startTime=t,this}setLoop(t,e){return this.loop=t,this.repetitions=e,this}setEffectiveWeight(t){return this.weight=t,this._effectiveWeight=this.enabled?t:0,this.stopFading()}getEffectiveWeight(){return this._effectiveWeight}fadeIn(t){return this._scheduleFading(t,0,1)}fadeOut(t){return this._scheduleFading(t,1,0)}crossFadeFrom(t,e,n){if(t.fadeOut(e),this.fadeIn(e),n){const n=this._clip.duration,i=t._clip.duration,s=i/n,r=n/i;t.warp(1,s,e),this.warp(r,1,e)}return this}crossFadeTo(t,e,n){return t.crossFadeFrom(this,e,n)}stopFading(){const t=this._weightInterpolant;return null!==t&&(this._weightInterpolant=null,this._mixer._takeBackControlInterpolant(t)),this}setEffectiveTimeScale(t){return this.timeScale=t,this._effectiveTimeScale=this.paused?0:t,this.stopWarping()}getEffectiveTimeScale(){return this._effectiveTimeScale}setDuration(t){return this.timeScale=this._clip.duration/t,this.stopWarping()}syncWith(t){return this.time=t.time,this.timeScale=t.timeScale,this.stopWarping()}halt(t){return this.warp(this._effectiveTimeScale,0,t)}warp(t,e,n){const i=this._mixer,s=i.time,r=this.timeScale;let o=this._timeScaleInterpolant;null===o&&(o=i._lendControlInterpolant(),this._timeScaleInterpolant=o);const a=o.parameterPositions,l=o.sampleValues;return a[0]=s,a[1]=s+n,l[0]=t/r,l[1]=e/r,this}stopWarping(){const t=this._timeScaleInterpolant;return null!==t&&(this._timeScaleInterpolant=null,this._mixer._takeBackControlInterpolant(t)),this}getMixer(){return this._mixer}getClip(){return this._clip}getRoot(){return this._localRoot||this._mixer._root}_update(t,e,n,i){if(!this.enabled)return void this._updateWeight(t);const s=this._startTime;if(null!==s){const i=(t-s)*n;if(i<0||0===n)return;this._startTime=null,e=n*i}e*=this._updateTimeScale(t);const r=this._updateTime(e),o=this._updateWeight(t);if(o>0){const t=this._interpolants,e=this._propertyBindings;switch(this.blendMode){case w.d:for(let n=0,i=t.length;n!==i;++n)t[n].evaluate(r),e[n].accumulateAdditive(o);break;case w.wb:default:for(let n=0,s=t.length;n!==s;++n)t[n].evaluate(r),e[n].accumulate(i,o)}}}_updateWeight(t){let e=0;if(this.enabled){e=this.weight;const n=this._weightInterpolant;if(null!==n){const i=n.evaluate(t)[0];e*=i,t>n.parameterPositions[1]&&(this.stopFading(),0===i&&(this.enabled=!1))}}return this._effectiveWeight=e,e}_updateTimeScale(t){let e=0;if(!this.paused){e=this.timeScale;const n=this._timeScaleInterpolant;if(null!==n){e*=n.evaluate(t)[0],t>n.parameterPositions[1]&&(this.stopWarping(),0===e?this.paused=!0:this.timeScale=e)}}return this._effectiveTimeScale=e,e}_updateTime(t){const e=this._clip.duration,n=this.loop;let i=this.time+t,s=this._loopCount;const r=n===w.db;if(0===t)return-1===s?i:r&&1==(1&s)?e-i:i;if(n===w.cb){-1===s&&(this._loopCount=0,this._setEndings(!0,!0,!1));t:{if(i>=e)i=e;else{if(!(i<0)){this.time=i;break t}i=0}this.clampWhenFinished?this.paused=!0:this.enabled=!1,this.time=i,this._mixer.dispatchEvent({type:\\\\\\\"finished\\\\\\\",action:this,direction:t<0?-1:1})}}else{if(-1===s&&(t>=0?(s=0,this._setEndings(!0,0===this.repetitions,r)):this._setEndings(0===this.repetitions,!0,r)),i>=e||i<0){const n=Math.floor(i/e);i-=e*n,s+=Math.abs(n);const o=this.repetitions-s;if(o<=0)this.clampWhenFinished?this.paused=!0:this.enabled=!1,i=t>0?e:0,this.time=i,this._mixer.dispatchEvent({type:\\\\\\\"finished\\\\\\\",action:this,direction:t>0?1:-1});else{if(1===o){const e=t<0;this._setEndings(e,!e,r)}else this._setEndings(!1,!1,r);this._loopCount=s,this.time=i,this._mixer.dispatchEvent({type:\\\\\\\"loop\\\\\\\",action:this,loopDelta:n})}}else this.time=i;if(r&&1==(1&s))return e-i}return i}_setEndings(t,e,n){const i=this._interpolantSettings;n?(i.endingStart=w.kd,i.endingEnd=w.kd):(i.endingStart=t?this.zeroSlopeAtStart?w.kd:w.id:w.hd,i.endingEnd=e?this.zeroSlopeAtEnd?w.kd:w.id:w.hd)}_scheduleFading(t,e,n){const i=this._mixer,s=i.time;let r=this._weightInterpolant;null===r&&(r=i._lendControlInterpolant(),this._weightInterpolant=r);const o=r.parameterPositions,a=r.sampleValues;return o[0]=s,a[0]=e,o[1]=s+t,a[1]=n,this}}var Cq=n(71),Nq=n(66);class Lq{constructor(t,e,n){let i,s,r;switch(this.binding=t,this.valueSize=n,e){case\\\\\\\"quaternion\\\\\\\":i=this._slerp,s=this._slerpAdditive,r=this._setAdditiveIdentityQuaternion,this.buffer=new Float64Array(6*n),this._workIndex=5;break;case\\\\\\\"string\\\\\\\":case\\\\\\\"bool\\\\\\\":i=this._select,s=this._select,r=this._setAdditiveIdentityOther,this.buffer=new Array(5*n);break;default:i=this._lerp,s=this._lerpAdditive,r=this._setAdditiveIdentityNumeric,this.buffer=new Float64Array(5*n)}this._mixBufferRegion=i,this._mixBufferRegionAdditive=s,this._setIdentity=r,this._origIndex=3,this._addIndex=4,this.cumulativeWeight=0,this.cumulativeWeightAdditive=0,this.useCount=0,this.referenceCount=0}accumulate(t,e){const n=this.buffer,i=this.valueSize,s=t*i+i;let r=this.cumulativeWeight;if(0===r){for(let t=0;t!==i;++t)n[s+t]=n[t];r=e}else{r+=e;const t=e/r;this._mixBufferRegion(n,s,0,t,i)}this.cumulativeWeight=r}accumulateAdditive(t){const e=this.buffer,n=this.valueSize,i=n*this._addIndex;0===this.cumulativeWeightAdditive&&this._setIdentity(),this._mixBufferRegionAdditive(e,i,0,t,n),this.cumulativeWeightAdditive+=t}apply(t){const e=this.valueSize,n=this.buffer,i=t*e+e,s=this.cumulativeWeight,r=this.cumulativeWeightAdditive,o=this.binding;if(this.cumulativeWeight=0,this.cumulativeWeightAdditive=0,s<1){const t=e*this._origIndex;this._mixBufferRegion(n,i,t,1-s,e)}r>0&&this._mixBufferRegionAdditive(n,i,this._addIndex*e,1,e);for(let t=e,s=e+e;t!==s;++t)if(n[t]!==n[t+e]){o.setValue(n,i);break}}saveOriginalState(){const t=this.binding,e=this.buffer,n=this.valueSize,i=n*this._origIndex;t.getValue(e,i);for(let t=n,s=i;t!==s;++t)e[t]=e[i+t%n];this._setIdentity(),this.cumulativeWeight=0,this.cumulativeWeightAdditive=0}restoreOriginalState(){const t=3*this.valueSize;this.binding.setValue(this.buffer,t)}_setAdditiveIdentityNumeric(){const t=this._addIndex*this.valueSize,e=t+this.valueSize;for(let n=t;n=.5)for(let i=0;i!==s;++i)t[e+i]=t[n+i]}_slerp(t,e,n,i){hh.a.slerpFlat(t,e,t,e,t,n,i)}_slerpAdditive(t,e,n,i,s){const r=this._workIndex*s;hh.a.multiplyQuaternionsFlat(t,r,t,e,t,n),hh.a.slerpFlat(t,e,t,e,t,r,i)}_lerp(t,e,n,i,s){const r=1-i;for(let o=0;o!==s;++o){const s=e+o;t[s]=t[s]*r+t[n+o]*i}}_lerpAdditive(t,e,n,i,s){for(let r=0;r!==s;++r){const s=e+r;t[s]=t[s]+t[n+r]*i}}}var Oq=n(64);class Pq extends J.a{constructor(t){super(),this._root=t,this._initMemoryManager(),this._accuIndex=0,this.time=0,this.timeScale=1}_bindAction(t,e){const n=t._localRoot||this._root,i=t._clip.tracks,s=i.length,r=t._propertyBindings,o=t._interpolants,a=n.uuid,l=this._bindingsByRootAndName;let c=l[a];void 0===c&&(c={},l[a]=c);for(let t=0;t!==s;++t){const s=i[t],l=s.name;let h=c[l];if(void 0!==h)r[t]=h;else{if(h=r[t],void 0!==h){null===h._cacheIndex&&(++h.referenceCount,this._addInactiveBinding(h,a,l));continue}const i=e&&e._propertyBindings[t].binding.parsedPath;h=new Lq(Nq.a.create(n,l,i),s.ValueTypeName,s.getValueSize()),++h.referenceCount,this._addInactiveBinding(h,a,l),r[t]=h}o[t].resultBuffer=h.buffer}}_activateAction(t){if(!this._isActiveAction(t)){if(null===t._cacheIndex){const e=(t._localRoot||this._root).uuid,n=t._clip.uuid,i=this._actionsByClip[n];this._bindAction(t,i&&i.knownActions[0]),this._addInactiveAction(t,n,e)}const e=t._propertyBindings;for(let t=0,n=e.length;t!==n;++t){const n=e[t];0==n.useCount++&&(this._lendBinding(n),n.saveOriginalState())}this._lendAction(t)}}_deactivateAction(t){if(this._isActiveAction(t)){const e=t._propertyBindings;for(let t=0,n=e.length;t!==n;++t){const n=e[t];0==--n.useCount&&(n.restoreOriginalState(),this._takeBackBinding(n))}this._takeBackAction(t)}}_initMemoryManager(){this._actions=[],this._nActiveActions=0,this._actionsByClip={},this._bindings=[],this._nActiveBindings=0,this._bindingsByRootAndName={},this._controlInterpolants=[],this._nActiveControlInterpolants=0;const t=this;this.stats={actions:{get total(){return t._actions.length},get inUse(){return t._nActiveActions}},bindings:{get total(){return t._bindings.length},get inUse(){return t._nActiveBindings}},controlInterpolants:{get total(){return t._controlInterpolants.length},get inUse(){return t._nActiveControlInterpolants}}}}_isActiveAction(t){const e=t._cacheIndex;return null!==e&&e=0;--e)t[e].stop();return this}update(t){t*=this.timeScale;const e=this._actions,n=this._nActiveActions,i=this.time+=t,s=Math.sign(t),r=this._accuIndex^=1;for(let o=0;o!==n;++o){e[o]._update(i,t,s,r)}const o=this._bindings,a=this._nActiveBindings;for(let t=0;t!==a;++t)o[t].apply(r);return this}setTime(t){this.time=0;for(let t=0;t{Iq.PARAM_CALLBACK_reset(t,e)}})}};class Iq extends uV{constructor(){super(...arguments),this.paramsConfig=Rq}static type(){return\\\\\\\"animationMixer\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to be animated\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.NEVER)}async cook(t){const e=t[0].objects()[0];e&&(await this.create_mixer_if_required(e),this._update_mixer()),this.setObjects([e])}async create_mixer_if_required(t){if(!this._mixer){const e=await this._create_mixer(t);e&&(this._mixer=e)}}async _create_mixer(t){this.p.clip.isDirty()&&await this.p.clip.compute();if(this.p.clip.found_node_with_context(ts.ANIM)){return new Pq(t)}}_update_mixer(){this._set_mixer_time()}_set_mixer_time(){this.pv.time!=this._previous_time&&(this._mixer&&this._mixer.setTime(this.pv.time),this._previous_time=this.pv.time)}static PARAM_CALLBACK_reset(t,e){e.setDirty(),t.reset_animation_mixer()}async reset_animation_mixer(){this._mixer=void 0,this._previous_time=void 0,this.setDirty()}}class Fq extends aV{static type(){return\\\\\\\"attribAddMult\\\\\\\"}cook(t,e){const n=t[0],i=n.attribNamesMatchingMask(e.name);for(let t of i){const i=n.geometries();for(let n of i)this._update_attrib(t,n,e)}return n}_update_attrib(t,e,n){const i=e.getAttribute(t);if(i){const t=i.array,e=n.preAdd,s=n.mult,r=n.postAdd;for(let n=0;n({name:t,value:e})))}})}};class qq extends uV{constructor(){super(...arguments),this.paramsConfig=Wq}static type(){return\\\\\\\"attribCast\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Hq.INPUT_CLONED_STATE),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.type],(()=>Uq[this.pv.type]))}))}))}cook(t){this._operation=this._operation||new Hq(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class Xq extends aV{static type(){return\\\\\\\"attribCopy\\\\\\\"}cook(t,e){const n=t[0],i=t[1]||n,s=i.attribNamesMatchingMask(e.name);for(let t of s)this.copy_vertex_attribute_between_core_groups(n,i,t,e);return n}copy_vertex_attribute_between_core_groups(t,e,n,i){var s;const r=e.objectsWithGeo(),o=t.objectsWithGeo();if(o.length>r.length)null===(s=this.states)||void 0===s||s.error.set(\\\\\\\"second input does not have enough objects to copy attributes from\\\\\\\");else for(let t=0;ta&&(null===(s=this.states)||void 0===s||s.error.set(\\\\\\\"not enough points in second input\\\\\\\"));const c=i.tnewName?i.newName:n;let h=t.getAttribute(c);if(h)this._fill_dest_array(h,o,i),h.needsUpdate=!0;else{const e=o.array.slice(0,l*r);t.setAttribute(c,new C.c(e,r))}}else null===(r=this.states)||void 0===r||r.error.set(`attribute '${n}' does not exist on second input`)}_fill_dest_array(t,e,n){const i=t.array,s=e.array,r=i.length,o=t.itemSize,a=e.itemSize,l=n.srcOffset,c=n.destOffset;if(t.itemSize==e.itemSize){t.copyArray(e.array);for(let t=0;t{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name,this.p.tnewName,this.p.newName],(()=>this.pv.tnewName?`${this.pv.name} -> ${this.pv.newName}`:this.pv.name))}))}))}cook(t){this._operation=this._operation||new Xq(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class Zq extends aV{static type(){return\\\\\\\"attribCreate\\\\\\\"}cook(t,e){var n;const i=t[0];return e.name&&\\\\\\\"\\\\\\\"!=e.name.trim()?this._add_attribute(Ds[e.class],i,e):null===(n=this.states)||void 0===n||n.error.set(\\\\\\\"attribute name is not valid\\\\\\\"),i}async _add_attribute(t,e,n){const i=ks[n.type];switch(t){case Fs.VERTEX:return void await this.add_point_attribute(i,e,n);case Fs.OBJECT:return void await this.add_object_attribute(i,e,n)}os.unreachable(t)}async add_point_attribute(t,e,n){const i=e.coreObjects();switch(t){case zs.NUMERIC:for(let t=0;t{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name])}))}))}cook(t){if(this._is_using_expression())this.pv.name&&\\\\\\\"\\\\\\\"!=this.pv.name.trim()?this._addAttribute(Ds[this.pv.class],t[0]):this.states.error.set(\\\\\\\"attribute name is not valid\\\\\\\");else{this._operation=this._operation||new Zq(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}async _addAttribute(t,e){const n=ks[this.pv.type];switch(t){case Fs.VERTEX:return await this._addPointAttribute(n,e),this.setCoreGroup(e);case Fs.OBJECT:return await this._addObjectAttribute(n,e),this.setCoreGroup(e)}os.unreachable(t)}async _addPointAttribute(t,e){const n=e.coreObjects();switch(t){case zs.NUMERIC:for(let t=0;t{s[t.index()*this.pv.size+0]=e}));else{let e=[this.p.value2,this.p.value3,this.p.value4][this.pv.size-2].components;const i=new Array(e.length);let r;const o=[this._x_arrays_by_geometry_uuid,this._y_arrays_by_geometry_uuid,this._z_arrays_by_geometry_uuid,this._w_arrays_by_geometry_uuid];for(let a=0;a{i[a][t.index()]=e}));else{const t=r.value;for(let e of n)s[e.index()*this.pv.size+a]=t}for(let t=0;t{t.setAttribValue(this.pv.name,e)}));else{let e=[this.p.value2,this.p.value3,this.p.value4][this.pv.size-2].components,n={};const i=this._vector_by_attrib_size(this.pv.size);if(i){for(let e of t)n[e.index()]=i;for(let i=0;i{n[t.index()][r]=e}));else for(let e of t){n[e.index()][r]=s.value}}for(let e=0;e{i[t.index()]=e}));const s=Xs.arrayToIndexedArrays(i),r=t.coreGeometry();r&&r.setIndexedAttribute(this.pv.name,s.values,s.indices)}async add_string_attribute_to_object(t){const e=this.p.string;e.hasExpression()&&e.expressionController&&await e.expressionController.computeExpressionForObjects(t,((t,e)=>{t.setAttribValue(this.pv.name,e)}))}_init_array_if_required(t,e,n){const i=t.uuid,s=e[i];return s?s.length{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name])}))}))}cook(t){const e=t[0],n=e.attribNamesMatchingMask(this.pv.name);for(let t of n)switch(this.pv.class){case Fs.VERTEX:this.delete_vertex_attribute(e,t);case Fs.OBJECT:this.delete_object_attribute(e,t)}this.setCoreGroup(e)}delete_vertex_attribute(t,e){for(let n of t.objects())n.traverse((t=>{const n=t;if(n.geometry){new fr(n.geometry).deleteAttribute(e)}}))}delete_object_attribute(t,e){for(let n of t.objects()){let t=0;n.traverse((n=>{new br(n,t).deleteAttribute(e),t++}))}}}class sX{set_attrib(t){const e=t.geometry,n=t.targetAttribSize;if(n<1||n>4)return;const i=t.add,s=t.mult,r=this._data_from_texture(t.texture);if(!r)return;const{data:o,resx:a,resy:l}=r,c=o.length/(a*l),h=e.getAttribute(t.uvAttribName).array,u=h.length/2,d=new Array(u*n);let p,_,m,f,g,v,y,x,b;const w=or.clamp;for(v=0;v{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.attrib])}))}))}async cook(t){this._operation=this._operation||new rX(this.scene(),this.states);const e=await this._operation.cook(t,this.pv);this.setCoreGroup(e)}}var cX;!function(t){t.MIN_MAX_TO_01=\\\\\\\"min/max to 0/1\\\\\\\",t.VECTOR_TO_LENGTH_1=\\\\\\\"vectors to length 1\\\\\\\"}(cX||(cX={}));const hX=[cX.MIN_MAX_TO_01,cX.VECTOR_TO_LENGTH_1];class uX extends aV{constructor(){super(...arguments),this.min3=new p.a,this.max3=new p.a,this._vec=new p.a}static type(){return\\\\\\\"attribNormalize\\\\\\\"}cook(t,e){const n=t[0],i=t[0].objectsWithGeo(),s=ss.attribNames(e.name);for(let t of i){const n=t.geometry;for(let t of s){const i=n.getAttribute(t);if(i){let t=i;e.changeName&&\\\\\\\"\\\\\\\"!=e.newName&&(t=n.getAttribute(e.newName),t&&(t.needsUpdate=!0),t=t||i.clone()),this._normalize_attribute(i,t,e)}}}return n}_normalize_attribute(t,e,n){switch(hX[n.mode]){case cX.MIN_MAX_TO_01:return this._normalize_from_min_max_to_01(t,e);case cX.VECTOR_TO_LENGTH_1:return this._normalize_vectors(t,e)}}_normalize_from_min_max_to_01(t,e){const n=t.itemSize,i=t.array,s=e.array;switch(n){case 1:{const t=Math.min(...i),e=Math.max(...i);for(let n=0;n({name:t,value:e})))}}),this.name=ha.STRING(dX.name),this.changeName=ha.BOOLEAN(dX.changeName),this.newName=ha.STRING(dX.newName,{visibleIf:{changeName:1}})}};class _X extends uV{constructor(){super(...arguments),this.paramsConfig=pX}static type(){return\\\\\\\"attribNormalize\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(uX.INPUT_CLONED_STATE),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name])}))}))}set_mode(t){this.p.mode.set(hX.indexOf(t))}cook(t){this._operation=this._operation||new uX(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}var mX;!function(t){t[t.MIN=0]=\\\\\\\"MIN\\\\\\\",t[t.MAX=1]=\\\\\\\"MAX\\\\\\\",t[t.FIRST_FOUND=2]=\\\\\\\"FIRST_FOUND\\\\\\\"}(mX||(mX={}));class fX extends aV{constructor(){super(...arguments),this._values_per_attrib_name={},this._filtered_values_per_attrib_name={}}static type(){return\\\\\\\"attribPromote\\\\\\\"}cook(t,e){this._core_group=t[0],this._values_per_attrib_name={},this._filtered_values_per_attrib_name={};for(let t of this._core_group.coreObjects())this._core_object=t,this.find_values(e),this.filter_values(e),this.set_values(e);return this._core_group}find_values(t){const e=ss.attribNames(t.name);for(let n of e)this._find_values_for_attrib_name(n,t)}_find_values_for_attrib_name(t,e){switch(e.classFrom){case Fs.VERTEX:return this.find_values_from_points(t,e);case Fs.OBJECT:return this.find_values_from_object(t,e)}}find_values_from_points(t,e){if(this._core_object){const e=this._core_object.points(),n=e[0];if(n&&!n.isAttribIndexed(t)){const n=new Array(e.length);let i;for(let s=0;s{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.name,this.p.classFrom,this.p.classTo],(()=>{if(\\\\\\\"\\\\\\\"!=this.pv.name){const t=Bs.filter((t=>t.value==this.pv.classFrom))[0].name,e=Bs.filter((t=>t.value==this.pv.classTo))[0].name;return`${this.pv.name} (${t} -> ${e})`}return\\\\\\\"\\\\\\\"}))}))}))}cook(t){this._operation=this._operation||new fX(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const bX=new class extends ua{constructor(){super(...arguments),this.name=ha.STRING(),this.ramp=ha.RAMP(),this.changeName=ha.BOOLEAN(0),this.newName=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:{changeName:1}})}};class wX extends uV{constructor(){super(...arguments),this.paramsConfig=bX}static type(){return\\\\\\\"attribRemap\\\\\\\"}initializeNode(){this.io.inputs.setCount(1)}cook(t){const e=t[0];this._remap_attribute(e),this.setCoreGroup(e)}_remap_attribute(t){const e=t.points();if(0===e.length)return;if(\\\\\\\"\\\\\\\"===this.pv.name)return;const n=e[0].attribSize(this.pv.name),i=e.map((t=>t.attribValue(this.pv.name)));let s=new Array(e.length);this._get_remaped_values(n,i,s);let r=this.pv.name;this.pv.changeName&&(r=this.pv.newName,t.hasAttrib(r)||t.addNumericVertexAttrib(r,n,0));let o=0;for(let t of s){e[o].setAttribValue(r,t),o++}}_get_remaped_values(t,e,n){switch(t){case Gs.FLOAT:return this._get_normalized_float(e,n);case Gs.VECTOR2:return this._get_normalized_vector2(e,n);case Gs.VECTOR3:return this._get_normalized_vector3(e,n);case Gs.VECTOR4:return this._get_normalized_vector4(e,n)}os.unreachable(t)}_get_normalized_float(t,e){const n=t,i=this.p.ramp;for(let t=0;t{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.oldName,this.p.newName],(()=>\\\\\\\"\\\\\\\"!=this.pv.oldName&&\\\\\\\"\\\\\\\"!=this.pv.newName?`${this.pv.oldName} -> ${this.pv.newName}`:\\\\\\\"\\\\\\\"))}))}))}cook(t){const e=t[0];e.renameAttrib(this.pv.oldName,this.pv.newName,this.pv.class),this.setCoreGroup(e)}}var MX=n(18);class EX{constructor(t,e=0){this._bbox=t,this._level=e,this._leaves_by_octant={},this._points_by_octant_id={},this._leaves=[],this._bounding_boxes_by_octant={},this._bounding_boxes_by_octant_prepared=!1,this._center=this._bbox.max.clone().add(this._bbox.min).multiplyScalar(.5)}level(){return this._level}traverse(t){t(this);Object.values(this._leaves_by_octant).forEach((e=>{e.traverse(t)}))}intersects_sphere(t){return!!this._bbox&&this._bbox.intersectsSphere(t)}points_in_sphere(t,e){if(0==this._leaves.length){Object.values(this._points_by_octant_id).flat().filter((e=>t.containsPoint(e.position()))).forEach((t=>{e.push(t)}))}else{this._leaves.filter((e=>e.intersects_sphere(t))).forEach((n=>n.points_in_sphere(t,e)))}}bounding_box(){return this._bbox}set_points(t){this._points_by_octant_id={};for(let e of t)this.add_point(e);const e=Object.keys(this._points_by_octant_id);e.length>1&&e.forEach((t=>{this.create_leaf(t)}))}create_leaf(t){const e=this._leaf_bbox(t),n=new EX(e,this._level+1);this._leaves_by_octant[t]=n,this._leaves.push(n),n.set_points(this._points_by_octant_id[t])}add_point(t){const e=this._octant_id(t.position());null==this._points_by_octant_id[e]&&(this._points_by_octant_id[e]=[]),this._points_by_octant_id[e].push(t)}_octant_id(t){return`${t.x>this._center.x?1:0}${t.y>this._center.y?1:0}${t.z>this._center.z?1:0}`}_leaf_bbox(t){return this._bounding_boxes_by_octant_prepared||(this._prepare_leaves_bboxes(),this._bounding_boxes_by_octant_prepared=!0),this._bounding_boxes_by_octant[t]}_bbox_center(t,e,n){const i=this._bbox.min.clone();return t&&(i.x=this._bbox.max.x),e&&(i.y=this._bbox.max.y),n&&(i.z=this._bbox.max.z),i.clone().add(this._center).multiplyScalar(.5)}_prepare_leaves_bboxes(){const t=[];t.push(this._bbox_center(0,0,0)),t.push(this._bbox_center(0,0,1)),t.push(this._bbox_center(0,1,0)),t.push(this._bbox_center(0,1,1)),t.push(this._bbox_center(1,0,0)),t.push(this._bbox_center(1,0,1)),t.push(this._bbox_center(1,1,0)),t.push(this._bbox_center(1,1,1));const e=this._bbox.max.clone().sub(this._bbox.min).multiplyScalar(.25);for(let n of t){const t=this._octant_id(n),i=new Ry.a(n.clone().sub(e),n.clone().add(e));this._bounding_boxes_by_octant[t]=i}}}class SX{constructor(t){this._root=new EX(t)}set_points(t){this._root.set_points(t)}traverse(t){this._root.traverse(t)}find_points(t,e,n){const i=new MX.a(t,e);let s=[];return this._root.intersects_sphere(i)&&this._root.points_in_sphere(i,s),null==n||s.length>n&&(s=f.sortBy(s,(e=>e.position().distanceTo(t))),s=s.slice(0,n)),s}}class CX{constructor(t={}){this._array_index=0,this._count=0,this._current_count_index=0,this._resolve=null,this._max_time_per_chunk=t.max_time_per_chunk||10,this._check_every_interations=t.check_every_interations||100}async startWithCount(t,e){if(this._count=t,this._current_count_index=0,this._iteratee_method_count=e,this._bound_next_with_count=this.nextWithCount.bind(this),this._resolve)throw\\\\\\\"an iterator cannot be started twice\\\\\\\";return new Promise(((t,e)=>{this._resolve=t,this.nextWithCount()}))}nextWithCount(){const t=li.performance.performanceManager(),e=t.now();if(this._iteratee_method_count&&this._bound_next_with_count)for(;this._current_count_indexthis._max_time_per_chunk){setTimeout(this._bound_next_with_count,1);break}this._current_count_index>=this._count&&this._resolve&&this._resolve()}async startWithArray(t,e){if(this._array=t,this._array_index=0,this._iteratee_method_array=e,this._bound_next_with_array=this.nextWithArray.bind(this),this._resolve)throw\\\\\\\"an iterator cannot be started twice\\\\\\\";return new Promise(((t,e)=>{this._resolve=t,this.nextWithArray()}))}nextWithArray(){const t=li.performance.performanceManager(),e=t.now();if(this._iteratee_method_array&&this._bound_next_with_array&&this._array)for(;this._current_array_element=this._array[this._array_index];)if(this._iteratee_method_array(this._current_array_element,this._array_index),this._array_index++,this._array_index%this._check_every_interations==0&&t.now()-e>this._max_time_per_chunk){setTimeout(this._bound_next_with_array,1);break}void 0===this._current_array_element&&this._resolve&&this._resolve()}}const NX=new class extends ua{constructor(){super(...arguments),this.srcGroup=ha.STRING(),this.destGroup=ha.STRING(),this.name=ha.STRING(),this.maxSamplesCount=ha.INTEGER(1,{range:[1,10],rangeLocked:[!0,!1]}),this.distanceThreshold=ha.FLOAT(1),this.blendWidth=ha.FLOAT(0)}};class LX extends uV{constructor(){super(...arguments),this.paramsConfig=NX}static type(){return\\\\\\\"attribTransfer\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to transfer attributes to\\\\\\\",\\\\\\\"geometry to transfer attributes from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(2),this.io.inputs.initInputsClonedState([Qi.FROM_NODE,Qi.NEVER])}async cook(t){this._core_group_dest=t[0];const e=this._core_group_dest.pointsFromGroup(this.pv.destGroup);this._core_group_src=t[1],this._attrib_names=this._core_group_src.attribNamesMatchingMask(this.pv.name),this._error_if_attribute_not_found_on_second_input(),this._build_octree_if_required(this._core_group_src),this._add_attribute_if_required(),await this._transfer_attributes(e),this.setCoreGroup(this._core_group_dest)}_error_if_attribute_not_found_on_second_input(){for(let t of this._attrib_names)this._core_group_src.hasAttrib(t)||this.states.error.set(`attribute '${t}' not found on second input`)}_build_octree_if_required(t){const e=null==this._octree_timestamp||this._octree_timestamp!==t.timestamp();if(this._prev_param_srcGroup!==this.pv.srcGroup||e){this._octree_timestamp=t.timestamp(),this._prev_param_srcGroup=this.pv.srcGroup;const e=this._core_group_src.pointsFromGroup(this.pv.srcGroup);this._octree=new SX(this._core_group_src.boundingBox()),this._octree.set_points(e)}}_add_attribute_if_required(){for(let t of this._attrib_names)if(!this._core_group_dest.hasAttrib(t)){const e=this._core_group_src.attribSize(t);this._core_group_dest.addNumericVertexAttrib(t,e,0)}}async _transfer_attributes(t){const e=new CX;await e.startWithArray(t,this._transfer_attributes_for_point.bind(this))}_transfer_attributes_for_point(t){var e;const n=this.pv.distanceThreshold+this.pv.blendWidth,i=(null===(e=this._octree)||void 0===e?void 0:e.find_points(t.position(),n,this.pv.maxSamplesCount))||[];for(let e of this._attrib_names)this._interpolate_points(t,i,e)}_interpolate_points(t,e,n){let i;i=class{static perform(t,e,n,i,s){switch(e.length){case 0:return t.attribValue(n);case 1:return this._interpolate_with_1_point(t,e[0],n,i,s);default:return this._interpolate_with_multiple_points(t,e,n,i,s)}}static _interpolate_with_1_point(t,e,n,i,s){const r=t.position(),o=e.position(),a=r.distanceTo(o),l=e.attribValue(n);return m.isNumber(l)?this._weighted_value_from_distance(t,l,n,a,i,s):(console.warn(\\\\\\\"value is not a number\\\\\\\",l),0)}static _weight_from_distance(t,e,n){return(t-e)/n}static _weighted_value_from_distance(t,e,n,i,s,r){if(i<=s)return e;{const o=t.attribValue(n);if(m.isNumber(o)){const t=this._weight_from_distance(i,s,r);return t*o+(1-t)*e}return console.warn(\\\\\\\"value is not a number\\\\\\\",o),0}}static _interpolate_with_multiple_points(t,e,n,i,s){const r=e.map((e=>this._interpolate_with_1_point(t,e,n,i,s)));return f.max(r)||0}static weights(t,e){switch(e.length){case 1:return 1;case 2:return this._weights_from_2(t,e);default:return e=e.slice(0,3),this._weights_from_3(t,e)}}static _weights_from_2(t,e){const n=e.map((e=>t.distanceTo(e))),i=f.sum(n);return[n[1]/i,n[0]/i]}static _weights_from_3(t,e){const n=e.map((e=>t.distanceTo(e))),i=f.sum([n[0]*n[1],n[0]*n[2],n[1]*n[2]]);return[n[1]*n[2]/i,n[0]*n[2]/i,n[0]*n[1]/i]}}.perform(t,e,n,this.pv.distanceThreshold,this.pv.blendWidth),null!=i&&t.setAttribValue(n,i)}}const OX=new class extends ua{constructor(){super(...arguments),this.stepSize=ha.FLOAT(.1)}};class PX extends uV{constructor(){super(...arguments),this.paramsConfig=OX}static type(){return\\\\\\\"bboxScatter\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to create points from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1)}cook(t){const e=t[0],n=this.pv.stepSize,i=e.boundingBox(),s=i.min,r=i.max,o=[];for(let t=s.x;t<=r.x;t+=n)for(let e=s.y;e<=r.y;e+=n)for(let i=s.z;i<=r.z;i+=n)o.push(t),o.push(e),o.push(i);const a=new S.a;a.setAttribute(\\\\\\\"position\\\\\\\",new C.a(new Float32Array(o),3)),this.setGeometry(a,Ns.POINTS)}}const RX=new class extends ua{constructor(){super(...arguments),this.attribName=ha.STRING(\\\\\\\"position\\\\\\\"),this.blend=ha.FLOAT(.5,{range:[0,1],rangeLocked:[!0,!0]})}};class IX extends uV{constructor(){super(...arguments),this.paramsConfig=RX}static type(){return\\\\\\\"blend\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to blend from\\\\\\\",\\\\\\\"geometry to blend to\\\\\\\"]}initializeNode(){this.io.inputs.setCount(2),this.io.inputs.initInputsClonedState([Qi.FROM_NODE,Qi.NEVER])}cook(t){const e=t[0],n=t[1],i=e.objects(),s=n.objects();let r,o;for(let t=0;tt.flip())),t}}FX.fromPolygons=function(t){let e=new FX;return e.polygons=t,e};class DX{constructor(t=0,e=0,n=0){this.x=t,this.y=e,this.z=n}copy(t){return this.x=t.x,this.y=t.y,this.z=t.z,this}clone(){return new DX(this.x,this.y,this.z)}negate(){return this.x*=-1,this.y*=-1,this.z*=-1,this}add(t){return this.x+=t.x,this.y+=t.y,this.z+=t.z,this}sub(t){return this.x-=t.x,this.y-=t.y,this.z-=t.z,this}times(t){return this.x*=t,this.y*=t,this.z*=t,this}dividedBy(t){return this.x/=t,this.y/=t,this.z/=t,this}lerp(t,e){return this.add(BX.copy(t).sub(this).times(e))}unit(){return this.dividedBy(this.length())}length(){return Math.sqrt(this.x**2+this.y**2+this.z**2)}normalize(){return this.unit()}cross(t){let e=this;const n=e.x,i=e.y,s=e.z,r=t.x,o=t.y,a=t.z;return this.x=i*a-s*o,this.y=s*r-n*a,this.z=n*o-i*r,this}dot(t){return this.x*t.x+this.y*t.y+this.z*t.z}}let BX=new DX,zX=new DX;class kX{constructor(t,e,n,i){this.pos=(new DX).copy(t),this.normal=(new DX).copy(e),this.uv=(new DX).copy(n),this.uv.z=0,i&&(this.color=(new DX).copy(i))}clone(){return new kX(this.pos,this.normal,this.uv,this.color)}flip(){this.normal.negate()}interpolate(t,e){return new kX(this.pos.clone().lerp(t.pos,e),this.normal.clone().lerp(t.normal,e),this.uv.clone().lerp(t.uv,e),this.color&&t.color&&this.color.clone().lerp(t.color,e))}}class UX{constructor(t,e){this.normal=t,this.w=e}clone(){return new UX(this.normal.clone(),this.w)}flip(){this.normal.negate(),this.w=-this.w}splitPolygon(t,e,n,i,s){let r=0,o=[];for(let e=0;eUX.EPSILON?1:0;r|=i,o.push(i)}switch(r){case 0:(this.normal.dot(t.plane.normal)>0?e:n).push(t);break;case 1:i.push(t);break;case 2:s.push(t);break;case 3:let r=[],a=[];for(let e=0;e=3&&i.push(new GX(r,t.shared)),a.length>=3&&s.push(new GX(a,t.shared))}}}UX.EPSILON=1e-5,UX.fromPoints=function(t,e,n){let i=BX.copy(e).sub(t).cross(zX.copy(n).sub(t)).normalize();return new UX(i.clone(),i.dot(t))};class GX{constructor(t,e){this.vertices=t,this.shared=e,this.plane=UX.fromPoints(t[0].pos,t[1].pos,t[2].pos)}clone(){return new GX(this.vertices.map((t=>t.clone())),this.shared)}flip(){this.vertices.reverse().map((t=>t.flip())),this.plane.flip()}}class VX{constructor(t){this.plane=null,this.front=null,this.back=null,this.polygons=[],t&&this.build(t)}clone(){let t=new VX;return t.plane=this.plane&&this.plane.clone(),t.front=this.front&&this.front.clone(),t.back=this.back&&this.back.clone(),t.polygons=this.polygons.map((t=>t.clone())),t}invert(){for(let t=0;tnew GX(t.vertices.map((t=>new kX(t.pos,t.normal,t.uv))),t.shared))))},FX.fromGeometry=function(t,e){let n=[];if(t.isGeometry){let i=t.faces,s=t.vertices,r=[\\\\\\\"a\\\\\\\",\\\\\\\"b\\\\\\\",\\\\\\\"c\\\\\\\"];for(let o=0;o({top:0,array:new Float32Array(t),write:function(t){this.array[this.top++]=t.x,this.array[this.top++]=t.y,this.array[this.top++]=t.z}}),qX=t=>({top:0,array:new Float32Array(t),write:function(t){this.array[this.top++]=t.x,this.array[this.top++]=t.y}});var XX;FX.toMesh=function(t,e,n){let i,s,r=t.polygons;{let t=0;r.forEach((e=>t+=e.vertices.length-2)),i=new S.a;let e,n=WX(3*t*3),o=WX(3*t*3),a=qX(2*t*3),l=[];if(r.forEach((i=>{let s=i.vertices,r=s.length;void 0!==i.shared&&(l[i.shared]||(l[i.shared]=[])),r&&void 0!==s[0].color&&(e||(e=WX(3*t*3)));for(let t=3;t<=r;t++)void 0!==i.shared&&l[i.shared].push(n.top/3,n.top/3+1,n.top/3+2),n.write(s[0].pos),n.write(s[t-2].pos),n.write(s[t-1].pos),o.write(s[0].normal),o.write(s[t-2].normal),o.write(s[t-1].normal),a.write(s[0].uv),a.write(s[t-2].uv),a.write(s[t-1].uv),e&&(e.write(s[0].color)||e.write(s[t-2].color)||e.write(s[t-1].color))})),i.setAttribute(\\\\\\\"position\\\\\\\",new C.a(n.array,3)),i.setAttribute(\\\\\\\"normal\\\\\\\",new C.a(o.array,3)),i.setAttribute(\\\\\\\"uv\\\\\\\",new C.a(a.array,2)),e&&i.setAttribute(\\\\\\\"color\\\\\\\",new C.a(e.array,3)),l.length){let t=[],e=0;for(let n=0;n({name:t,value:e})))}}),this.useBothMaterials=ha.BOOLEAN(JX.useBothMaterials)}};class KX extends uV{constructor(){super(...arguments),this.paramsConfig=ZX}static type(){return\\\\\\\"boolean\\\\\\\"}initializeNode(){super.initializeNode(),this.io.inputs.setCount(2),this.io.inputs.initInputsClonedState($X.INPUT_CLONED_STATE),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.operation],(()=>YX[this.pv.operation]))}))}))}setOperation(t){this.p.operation.set(YX.indexOf(t))}async cook(t){this._operation=this._operation||new $X(this.scene(),this.states,this);const e=await this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class QX extends aV{constructor(){super(...arguments),this._core_transform=new bU}static type(){return\\\\\\\"box\\\\\\\"}cook(t,e){const n=t[0],i=n?this._cookWithInput(n,e):this._cookWithoutInput(e);return this.createCoreGroupFromGeometry(i)}_cookWithoutInput(t){const e=t.divisions,n=t.size,i=new N(n,n,n,e,e,e);return i.translate(t.center.x,t.center.y,t.center.z),i.computeVertexNormals(),i}_cookWithInput(t,e){const n=e.divisions,i=t.boundingBox(),s=i.max.clone().sub(i.min),r=i.max.clone().add(i.min).multiplyScalar(.5),o=new N(s.x,s.y,s.z,n,n,n),a=this._core_transform.translationMatrix(r);return o.applyMatrix4(a),o}}QX.DEFAULT_PARAMS={size:1,divisions:1,center:new p.a(0,0,0)},QX.INPUT_CLONED_STATE=Qi.NEVER;const tY=QX.DEFAULT_PARAMS;const eY=new class extends ua{constructor(){super(...arguments),this.size=ha.FLOAT(tY.size),this.divisions=ha.INTEGER(tY.divisions,{range:[1,10],rangeLocked:[!0,!1]}),this.center=ha.VECTOR3(tY.center)}};class nY extends uV{constructor(){super(...arguments),this.paramsConfig=eY}static type(){return\\\\\\\"box\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to create bounding box from (optional)\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(QX.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new QX(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class iY{constructor(){}}function sY(t,e,n){return n.min.x=e[t],n.min.y=e[t+1],n.min.z=e[t+2],n.max.x=e[t+3],n.max.y=e[t+4],n.max.z=e[t+5],n}function rY(t){let e=-1,n=-1/0;for(let i=0;i<3;i++){const s=t[i+3]-t[i];s>n&&(n=s,e=i)}return e}function oY(t,e){e.set(t)}function aY(t,e,n){let i,s;for(let r=0;r<3;r++){const o=r+3;i=t[r],s=e[r],n[r]=is?i:s}}function lY(t){const e=t[3]-t[0],n=t[4]-t[1],i=t[5]-t[2];return 2*(e*n+n*i+i*e)}const cY=Math.pow(2,-24);function hY(t,e,n,i,s=null){let r=1/0,o=1/0,a=1/0,l=-1/0,c=-1/0,h=-1/0,u=1/0,d=1/0,p=1/0,_=-1/0,m=-1/0,f=-1/0;const g=null!==s;for(let i=6*e,s=6*(e+n);il&&(l=v),g&&e_&&(_=e);const y=t[i+2],x=t[i+3],b=y-x,w=y+x;bc&&(c=w),g&&ym&&(m=y);const T=t[i+4],A=t[i+5],M=T-A,E=T+A;Mh&&(h=E),g&&Tf&&(f=T)}i[0]=r,i[1]=o,i[2]=a,i[3]=l,i[4]=c,i[5]=h,g&&(s[0]=u,s[1]=d,s[2]=p,s[3]=_,s[4]=m,s[5]=f)}const uY=32,dY=new Array(uY).fill().map((()=>({count:0,bounds:new Float32Array(6),rightCacheBounds:new Float32Array(6),candidate:0}))),pY=new Float32Array(6);function _Y(t,e){function n(e,i,d,p=null,_=0){if(!u&&_>=a&&(u=!0,l&&(console.warn(`MeshBVH: Max depth of ${a} reached when generating BVH. Consider increasing maxDepth.`),console.warn(t))),d<=c||_>=a)return e.offset=i,e.count=d,e;const m=function(t,e,n,i,s,r){let o=-1,a=0;if(0===r)o=rY(e),-1!==o&&(a=(e[o]+e[o+3])/2);else if(1===r)o=rY(t),-1!==o&&(a=function(t,e,n,i){let s=0;for(let r=e,o=e+n;r=uY&&(s=31);const r=dY[s];r.count++;const o=r.bounds;for(let t=0;t<3;t++){const i=n[e+2*t],s=n[e+2*t+1],r=i-s,a=i+s;ro[t+3]&&(o[t+3]=a)}}const d=dY[31];oY(d.bounds,d.rightCacheBounds);for(let t=30;t>=0;t--){const e=dY[t],n=dY[t+1];aY(e.bounds,n.rightCacheBounds,e.rightCacheBounds)}let p=0;for(let e=0;e<31;e++){const n=dY[e],i=n.count,c=n.bounds,h=dY[e+1].rightCacheBounds;0!==i&&(0===p?oY(c,pY):aY(c,pY,pY)),p+=i;let u=0,d=0;0!==p&&(u=lY(pY)/r);const _=s-p;0!==_&&(d=lY(h)/r);const m=1+1.25*(u*p+d*_);m=a;)o--;if(!(r65535?new Uint32Array(new i(4*n)):new Uint16Array(new i(2*n)),t.setIndex(new Qw(s,1));for(let t=0;td&&(d=s),a>d&&(d=a);const p=(d-l)/2,_=2*t;o[r+_+0]=l+p,o[r+_+1]=p+(Math.abs(l)+p)*cY,le[t+3]&&(e[t+3]=d)}}return o}(t,i),o=t.index.array,a=e.maxDepth,l=e.verbose,c=e.maxLeafTris,h=e.strategy;let u=!1;const d=[],p=function(t){if(!t.groups||!t.groups.length)return[{offset:0,count:t.index.count/3}];const e=[],n=new Set;for(const e of t.groups)n.add(e.start),n.add(e.start+e.count);const i=Array.from(n.values()).sort(((t,e)=>t-e));for(let t=0;ta&&(a=e);const n=t[i+2];nl&&(l=n);const h=t[i+4];hc&&(c=h)}i[0]=s,i[1]=r,i[2]=o,i[3]=a,i[4]=l,i[5]=c}(r,t.offset,t.count,s),n(e,t.offset,t.count,s),d.push(e)}else for(let t of p){const e=new iY;e.boundingData=new Float32Array(6),hY(r,t.offset,t.count,e.boundingData,s),n(e,t.offset,t.count,s),d.push(e)}return d}const mY=65535;class fY{constructor(){this.min=1/0,this.max=-1/0}setFromPointsField(t,e){let n=1/0,i=-1/0;for(let s=0,r=t.length;si?r:i}this.min=n,this.max=i}setFromPoints(t,e){let n=1/0,i=-1/0;for(let s=0,r=e.length;si?o:i}this.min=n,this.max=i}isSeparated(t){return this.min>t.max||t.min>this.max}}fY.prototype.setFromBox=function(){const t=new Sb;return function(e,n){const i=n.min,s=n.max;let r=1/0,o=-1/0;for(let n=0;n<=1;n++)for(let a=0;a<=1;a++)for(let l=0;l<=1;l++){t.x=i.x*n+s.x*(1-n),t.y=i.y*a+s.y*(1-a),t.z=i.z*l+s.z*(1-l);const c=e.dot(t);r=Math.min(c,r),o=Math.max(c,o)}this.min=r,this.max=o}}();!function(){const t=new fY}();const gY=function(){const t=new Sb,e=new Sb,n=new Sb;return function(i,s,r){const o=i.start,a=t,l=s.start,c=e;n.subVectors(o,l),t.subVectors(i.end,s.start),e.subVectors(s.end,s.start);const h=n.dot(c),u=c.dot(a),d=c.dot(c),p=n.dot(a),_=a.dot(a)*d-u*u;let m,f;m=0!==_?(h*u-p*d)/_:0,f=(h+m*u)/d,r.x=m,r.y=f}}(),vY=function(){const t=new _b,e=new Sb,n=new Sb;return function(i,s,r,o){gY(i,s,t);let a=t.x,l=t.y;if(a>=0&&a<=1&&l>=0&&l<=1)return i.at(a,r),void s.at(l,o);if(a>=0&&a<=1)return l<0?s.at(0,o):s.at(1,o),void i.closestPointToPoint(o,!0,r);if(l>=0&&l<=1)return a<0?i.at(0,r):i.at(1,r),void s.closestPointToPoint(r,!0,o);{let t,c;t=a<0?i.start:i.end,c=l<0?s.start:s.end;const h=e,u=n;return i.closestPointToPoint(c,!0,e),s.closestPointToPoint(t,!0,n),h.distanceToSquared(c)<=u.distanceToSquared(t)?(r.copy(h),void o.copy(c)):(r.copy(t),void o.copy(u))}}}(),yY=function(){const t=new Sb,e=new Sb,n=new jT,i=new sL;return function(s,r){const{radius:o,center:a}=s,{a:l,b:c,c:h}=r;i.start=l,i.end=c;if(i.closestPointToPoint(a,!0,t).distanceTo(a)<=o)return!0;i.start=l,i.end=h;if(i.closestPointToPoint(a,!0,t).distanceTo(a)<=o)return!0;i.start=c,i.end=h;if(i.closestPointToPoint(a,!0,t).distanceTo(a)<=o)return!0;const u=r.getPlane(n);if(Math.abs(u.distanceToPoint(a))<=o){const t=u.projectPoint(a,e);if(r.containsPoint(t))return!0}return!1}}();class xY extends Uw{constructor(...t){super(...t),this.isSeparatingAxisTriangle=!0,this.satAxes=new Array(4).fill().map((()=>new Sb)),this.satBounds=new Array(4).fill().map((()=>new fY)),this.points=[this.a,this.b,this.c],this.sphere=new $b,this.plane=new jT,this.needsUpdate=!1}intersectsSphere(t){return yY(t,this)}update(){const t=this.a,e=this.b,n=this.c,i=this.points,s=this.satAxes,r=this.satBounds,o=s[0],a=r[0];this.getNormal(o),a.setFromPoints(o,i);const l=s[1],c=r[1];l.subVectors(t,e),c.setFromPoints(l,i);const h=s[2],u=r[2];h.subVectors(e,n),u.setFromPoints(h,i);const d=s[3],p=r[3];d.subVectors(n,t),p.setFromPoints(d,i),this.sphere.setFromPoints(this.points),this.plane.setFromNormalAndCoplanarPoint(o,t),this.needsUpdate=!1}}xY.prototype.closestPointToSegment=function(){const t=new Sb,e=new Sb,n=new sL;return function(i,s=null,r=null){const{start:o,end:a}=i,l=this.points;let c,h=1/0;for(let o=0;o<3;o++){const a=(o+1)%3;n.start.copy(l[o]),n.end.copy(l[a]),vY(n,i,t,e),c=t.distanceToSquared(e),c1-1e-10)console.warn(\\\\\\\"SeparatingAxisTriangle.intersectsTriangle: Triangles are coplanar which does not support an output edge. Setting edge to 0, 0, 0.\\\\\\\"),p.start.set(0,0,0),p.end.set(0,0,0);else{const n=this.points;let i=!1;for(let t=0;t<3;t++){const s=n[t],r=n[(t+1)%3];if(c.start.copy(s),c.end.copy(r),e.intersectLine(c,i?h.start:h.end)){if(i)break;i=!0}}const s=d.points;let r=!1;for(let e=0;e<3;e++){const n=s[e],i=s[(e+1)%3];if(c.start.copy(n),c.end.copy(i),t.intersectLine(c,r?u.start:u.end)){if(r)break;r=!0}}if(h.delta(o),u.delta(a),o.dot(a)<0){let t=u.start;u.start=u.end,u.end=t}l.subVectors(h.start,u.start),l.dot(o)>0?p.start.copy(h.start):p.start.copy(u.start),l.subVectors(h.end,u.end),l.dot(o)<0?p.end.copy(h.end):p.end.copy(u.end)}}return!0}}(),xY.prototype.distanceToPoint=function(){const t=new Sb;return function(e){return this.closestPointToPoint(e,t),e.distanceTo(t)}}(),xY.prototype.distanceToTriangle=function(){const t=new Sb,e=new Sb,n=[\\\\\\\"a\\\\\\\",\\\\\\\"b\\\\\\\",\\\\\\\"c\\\\\\\"],i=new sL,s=new sL;return function(r,o=null,a=null){const l=o||a?i:null;if(this.intersectsTriangle(r,l))return(o||a)&&(o&&l.getCenter(o),a&&l.getCenter(a)),0;let c=1/0;for(let e=0;e<3;e++){let i;const s=n[e],l=r[s];this.closestPointToPoint(l,t),i=l.distanceToSquared(t),inew Sb)),this.satAxes=new Array(3).fill().map((()=>new Sb)),this.satBounds=new Array(3).fill().map((()=>new fY)),this.alignedSatBounds=new Array(3).fill().map((()=>new fY)),this.needsUpdate=!1}set(t,e,n){super.set(t,e),this.matrix=n,this.needsUpdate=!0}copy(t){super.copy(t),this.matrix.copy(t.matrix),this.needsUpdate=!0}}bY.prototype.update=function(){const t=this.matrix,e=this.min,n=this.max,i=this.points;for(let s=0;s<=1;s++)for(let r=0;r<=1;r++)for(let o=0;o<=1;o++){const a=i[1*s|2*r|4*o];a.x=s?n.x:e.x,a.y=r?n.y:e.y,a.z=o?n.z:e.z,a.applyMatrix4(t)}const s=this.satBounds,r=this.satAxes,o=i[0];for(let t=0;t<3;t++){const e=r[t],n=s[t],a=i[1<new sL)),n=new Array(12).fill().map((()=>new sL)),i=new Sb,s=new Sb;return function(r,o=0,a=null,l=null){if(this.needsUpdate&&this.update(),this.intersectsBox(r))return(a||l)&&(r.getCenter(s),this.closestPointToPoint(s,i),r.closestPointToPoint(i,s),a&&a.copy(i),l&&l.copy(s)),0;const c=o*o,h=r.min,u=r.max,d=this.points;let p=1/0;for(let t=0;t<8;t++){const e=d[t];s.copy(e).clamp(h,u);const n=e.distanceToSquared(s);if(nn.far?null:t)}function OY(t,e,n,i){const s=t.a,r=t.b,o=t.c;let a=e,l=e+1,c=e+2;n&&(a=n.getX(e),l=n.getX(e+1),c=n.getX(e+2)),s.x=i.getX(a),s.y=i.getY(a),s.z=i.getZ(a),r.x=i.getX(l),r.y=i.getY(l),r.z=i.getZ(l),o.x=i.getX(c),o.y=i.getY(c),o.z=i.getZ(c)}function PY(t,e,n,i,s,r,o){const a=n.index,l=n.attributes.position;for(let n=t,c=e+t;n=0;let c,h;l?(c=BY(t),h=zY(t,a)):(c=zY(t,a),h=BY(t));const u=qY(c,r,i,UY)?HY(c,e,n,i):null;if(u){const t=u.point[o];if(l?t<=r[h+s]:t>=r[h+s+3])return u}const d=qY(h,r,i,UY)?HY(h,e,n,i):null;return u&&d?u.distance<=d.distance?u:d:u||d||null}}const jY=function(){let t,e;const n=[],i=new RY((()=>new Lb));return function(...r){t=i.getPrimitive(),e=i.getPrimitive(),n.push(t,e);const o=s(...r);i.releasePrimitive(t),i.releasePrimitive(e),n.pop(),n.pop();const a=n.length;return a>0&&(e=n[a-1],t=n[a-2]),o};function s(n,i,r,o,a=null,l=0,c=0){function h(t){let e=2*t,n=JY,i=ZY;for(;!IY(e,n);)e=2*(t=BY(t));return FY(t,i)}function u(t){let e=2*t,n=JY,i=ZY;for(;!IY(e,n);)e=2*(t=zY(t,i));return FY(t,i)+DY(e,n)}let d=2*n,p=$Y,_=JY,m=ZY;if(IY(d,_)){const e=FY(n,m),i=DY(d,_);return sY(n,p,t),o(e,i,!1,c,l+n,t)}{const d=BY(n),f=zY(n,m);let g,v,y,x,b=d,w=f;if(a&&(y=t,x=e,sY(b,p,y),sY(w,p,x),g=a(y),v=a(x),vs.intersectsBox(t),intersectsTriangle:t=>{t.a.applyMatrix4(c),t.b.applyMatrix4(c),t.c.applyMatrix4(c),t.needsUpdate=!0;for(let n=3*g,i=3*(v+g);nnew xY));class p${static serialize(t,e={}){if(e.isBufferGeometry)return console.warn(\\\\\\\"MeshBVH.serialize: The arguments for the function have changed. 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See documentation for new signature.\\\\\\\"),p$.deserialize(arguments[0],arguments[1],{setIndex:void 0===arguments[2]||arguments[2]});n={setIndex:!0,...n};const{index:i,roots:s}=t,r=new p$(e,{...n,[t$]:!0});if(r._roots=s,n.setIndex){const n=e.getIndex();if(null===n){const n=new Qw(t.index,1,!1);e.setIndex(n)}else n.array!==i&&(n.array.set(i),n.needsUpdate=!0)}return r}constructor(t,e={}){if(!t.isBufferGeometry)throw new Error(\\\\\\\"MeshBVH: Only BufferGeometries are supported.\\\\\\\");if(t.index&&t.index.isInterleavedBufferAttribute)throw new Error(\\\\\\\"MeshBVH: InterleavedBufferAttribute is not supported for the index attribute.\\\\\\\");if((e=Object.assign({strategy:0,maxDepth:40,maxLeafTris:10,verbose:!0,useSharedArrayBuffer:!1,setBoundingBox:!0,[t$]:!1},e)).useSharedArrayBuffer&&\\\\\\\"undefined\\\\\\\"==typeof SharedArrayBuffer)throw new Error(\\\\\\\"MeshBVH: SharedArrayBuffer is not available.\\\\\\\");this._roots=null,e[t$]||(this._roots=function(t,e){const n=_Y(t,e);let i,s,r;const o=[],a=e.useSharedArrayBuffer?SharedArrayBuffer:ArrayBuffer;for(let t=0;tMath.pow(2,32))throw new Error(\\\\\\\"MeshBVH: Cannot store child pointer greater than 32 bits.\\\\\\\");return s[n+6]=a/4,a=c(a,r),s[n+7]=o,a}}}(t,e),!t.boundingBox&&e.setBoundingBox&&(t.boundingBox=this.getBoundingBox(new Lb))),this.geometry=t}refit(t=null){t&&Array.isArray(t)&&(t=new Set(t));const e=this.geometry,n=e.index.array,i=e.attributes.position,s=i.array,r=i.offset||0;let o,a,l,c,h=3;i.isInterleavedBufferAttribute&&(h=i.data.stride);let u=0;const d=this._roots;for(let t=0,e=d.length;tp&&(p=a),l_&&(_=l),cm&&(m=c)}return(c[e+0]!==i||c[e+1]!==o||c[e+2]!==d||c[e+3]!==p||c[e+4]!==_||c[e+5]!==m)&&(c[e+0]=i,c[e+1]=o,c[e+2]=d,c[e+3]=p,c[e+4]=_,c[e+5]=m,!0)}{const n=e+8,s=a[e+6],r=n+i,l=s+i;let h=o,u=!1,d=!1;t?h||(u=t.has(r),d=t.has(l),h=!u&&!d):(u=!0,d=!0);const _=h||d;let m=!1;(h||u)&&(m=p(n,i,h));let f=!1;_&&(f=p(s,i,h));const g=m||f;if(g)for(let t=0;t<3;t++){const i=n+t,r=s+t,o=c[i],a=c[i+3],l=c[r],h=c[r+3];c[e+t]=oh?a:h}return g}}}traverse(t,e=0){const n=this._roots[e],i=new Uint32Array(n),s=new Uint16Array(n);!function e(r,o=0){const a=2*r,l=s[a+15]===mY;if(l){const e=i[r+6],c=s[a+14];t(o,l,new Float32Array(n,4*r,6),e,c)}else{const s=r+8,a=i[r+6],c=i[r+7];t(o,l,new Float32Array(n,4*r,6),c)||(e(s,o+1),e(a,o+1))}}(0)}raycast(t,e=0){const n=this._roots,i=this.geometry,s=[],r=e.isMaterial,o=Array.isArray(e),a=i.groups,l=r?e.side:e;for(let r=0,c=n.length;r{const r=3*n;return t(e,r,r+1,r+2,i,s)}}t={boundsTraverseOrder:n,intersectsBounds:t,intersectsTriangle:e,intersectsRange:null},console.warn(\\\\\\\"MeshBVH: Shapecast function signature has changed and now takes an object of callbacks as a second argument. See docs for new signature.\\\\\\\")}const s=d$.getPrimitive();let{boundsTraverseOrder:r,intersectsBounds:o,intersectsRange:a,intersectsTriangle:l}=t;if(a&&l){const t=a;a=(e,n,r,o,a)=>!!t(e,n,r,o,a)||PY(e,n,i,l,r,o,s)}else a||(a=l?(t,e,n,r)=>PY(t,e,i,l,n,r,s):(t,e,n)=>n);let c=!1,h=0;for(const t of this._roots){if(KY(t),c=jY(0,i,o,a,r,h),QY(),c)break;h+=t.byteLength}return d$.releasePrimitive(s),c}bvhcast(t,e,n){let{intersectsRanges:i,intersectsTriangles:s}=n;const r=t.geometry,o=r.index,a=r.attributes.position;i$.copy(e).invert();const l=d$.getPrimitive(),c=d$.getPrimitive();if(s){function h(t,n,i,r,h,u,d,p){for(let _=i,m=i+r;_n$.intersectsBox(t),intersectsRange:(e,n,s,r,o,a)=>(e$.copy(a),e$.applyMatrix4(i$),t.shapecast({intersectsBounds:t=>e$.intersectsBox(t),intersectsRange:(t,s,a,l,c)=>i(e,n,t,s,r,o,l,c)}))});return d$.releasePrimitive(l),d$.releasePrimitive(c),u}intersectsBox(t,e){return s$.set(t.min,t.max,e),s$.needsUpdate=!0,this.shapecast({intersectsBounds:t=>s$.intersectsBox(t),intersectsTriangle:t=>s$.intersectsTriangle(t)})}intersectsSphere(t){return this.shapecast({intersectsBounds:e=>t.intersectsBox(e),intersectsTriangle:e=>e.intersectsSphere(t)})}closestPointToGeometry(t,e,n={},i={},s=0,r=1/0){t.boundingBox||t.computeBoundingBox(),s$.set(t.boundingBox.min,t.boundingBox.max,e),s$.needsUpdate=!0;const o=this.geometry,a=o.attributes.position,l=o.index,c=t.attributes.position,h=t.index,u=d$.getPrimitive(),d=d$.getPrimitive();let p=a$,_=l$,m=null,f=null;i&&(m=c$,f=h$);let g=1/0,v=null,y=null;return i$.copy(e).invert(),r$.matrix.copy(i$),this.shapecast({boundsTraverseOrder:t=>s$.distanceToBox(t,Math.min(g,r)),intersectsBounds:(t,e,n)=>n{if(t.boundsTree)return t.boundsTree.shapecast({boundsTraverseOrder:t=>r$.distanceToBox(t,Math.min(g,r)),intersectsBounds:(t,e,n)=>n{for(let o=3*t,x=3*(t+r);o(o$.copy(t).clamp(e.min,e.max),o$.distanceToSquared(t)),intersectsBounds:(t,e,n)=>n{e.closestPointToPoint(t,o$);const i=t.distanceToSquared(o$);return i{sY(0,new Float32Array(e),u$),t.union(u$)})),t}}const _$=p$.prototype.raycast;p$.prototype.raycast=function(...t){if(t[0].isMesh){console.warn('MeshBVH: The function signature and results frame for \\\\\\\"raycast\\\\\\\" has changed. See docs for new signature.');const[e,n,i,s]=t;return _$.call(this,i,e.material).forEach((t=>{(t=LY(t,e,n))&&s.push(t)})),s}return _$.apply(this,t)};const m$=p$.prototype.raycastFirst;p$.prototype.raycastFirst=function(...t){if(t[0].isMesh){console.warn('MeshBVH: The function signature and results frame for \\\\\\\"raycastFirst\\\\\\\" has changed. See docs for new signature.');const[e,n,i]=t;return LY(m$.call(this,i,e.material),e,n)}return m$.apply(this,t)};const f$=p$.prototype.closestPointToPoint;p$.prototype.closestPointToPoint=function(...t){if(t[0].isMesh){console.warn('MeshBVH: The function signature and results frame for \\\\\\\"closestPointToPoint\\\\\\\" has changed. See docs for new signature.'),t.unshift();const e=t[1],n={};return t[1]=n,f$.apply(this,t),e&&e.copy(n.point),n.distance}return f$.apply(this,t)};const g$=p$.prototype.closestPointToGeometry;p$.prototype.closestPointToGeometry=function(...t){const e=t[2],n=t[3];if(e&&e.isVector3||n&&n.isVector3){console.warn('MeshBVH: The function signature and results frame for \\\\\\\"closestPointToGeometry\\\\\\\" has changed. See docs for new signature.');const i={},s={},r=t[1];return t[2]=i,t[3]=s,g$.apply(this,t),e&&e.copy(i.point),n&&n.copy(s.point).applyMatrix4(r),i.distance}return g$.apply(this,t)};const v$=p$.prototype.refit;p$.prototype.refit=function(...t){const e=t[0],n=t[1];if(n&&(n instanceof Set||Array.isArray(n))){console.warn('MeshBVH: The function signature for \\\\\\\"refit\\\\\\\" has changed. See docs for new signature.');const t=new Set;n.forEach((e=>t.add(e))),e&&e.forEach((e=>t.add(e))),v$.call(this,t)}else v$.apply(this,t)},[\\\\\\\"intersectsGeometry\\\\\\\",\\\\\\\"shapecast\\\\\\\",\\\\\\\"intersectsBox\\\\\\\",\\\\\\\"intersectsSphere\\\\\\\"].forEach((t=>{const e=p$.prototype[t];p$.prototype[t]=function(...n){return(null===n[0]||n[0].isMesh)&&(n.shift(),console.warn(`MeshBVH: The function signature for \\\\\\\"${t}\\\\\\\" has changed and no longer takes Mesh. See docs for new signature.`)),e.apply(this,n)}}));const y$=new iw,x$=new sw,b$=CT.prototype.raycast;function w$(t,e){if(this.geometry.boundsTree){if(void 0===this.material)return;x$.copy(this.matrixWorld).invert(),y$.copy(t.ray).applyMatrix4(x$);const n=this.geometry.boundsTree;if(!0===t.firstHitOnly){const i=LY(n.raycastFirst(y$,this.material),this,t);i&&e.push(i)}else{const i=n.raycast(y$,this.material);for(let n=0,s=i.length;n{if(t===i||e)return r++,!0;s&&r++}),n);let o=0;const a=new Float32Array(24*r);let l,c;e.traverse(((t,e,n)=>{const r=t===i||e;if(r||s){sY(0,n,T$);const{min:t,max:e}=T$;for(let n=-1;n<=1;n+=2){const i=n<0?t.x:e.x;for(let n=-1;n<=1;n+=2){const s=n<0?t.y:e.y;for(let n=-1;n<=1;n+=2){const r=n<0?t.z:e.z;a[o+0]=i,a[o+1]=s,a[o+2]=r,o+=3}}}return r}}),n),c=this.displayEdges?new Uint8Array([0,4,1,5,2,6,3,7,0,2,1,3,4,6,5,7,0,1,2,3,4,5,6,7]):new Uint8Array([0,1,2,2,1,3,4,6,5,6,7,5,1,4,5,0,4,1,2,3,6,3,7,6,0,2,4,2,6,4,1,5,3,3,5,7]),l=a.length>65535?new Uint32Array(c.length*r):new Uint16Array(c.length*r);const h=c.length;for(let t=0;te;)this._roots.pop();for(let t=0;t=this._roots.length){const e=new A$(this.mesh,this.edgeMaterial,this.depth,t);this.add(e),this._roots.push(e)}const e=this._roots[t];e.depth=this.depth,e.mesh=this.mesh,e.displayParents=this.displayParents,e.displayEdges=this.displayEdges,e.material=this.displayEdges?this.edgeMaterial:this.meshMaterial,e.update()}}updateMatrixWorld(...t){this.position.copy(this.mesh.position),this.rotation.copy(this.mesh.rotation),this.scale.copy(this.mesh.scale),super.updateMatrixWorld(...t)}copy(t){this.depth=t.depth,this.mesh=t.mesh}clone(){return new M$(this.mesh,this.depth)}dispose(){this.edgeMaterial.dispose(),this.meshMaterial.dispose();const t=this.children;for(let e=0,n=t.length;e{const i=t;if(i.isMesh){if(e.keepOnlyPosition){const t=i.geometry;for(const e in t.attributes)\\\\\\\"position\\\\\\\"!==e&&t.deleteAttribute(e)}n.push(i)}}))}const i=this._makeCompact(n);if(i){i.matrixAutoUpdate=!1,i.raycast=w$;const t=new p$(i.geometry,{verbose:!1});return i.geometry.boundsTree=t,this.createCoreGroupFromObjects([i])}return this.createCoreGroupFromObjects([])}_makeCompact(t){var e,n;const i=[];let s;for(let e of t){s=s||e.material;const t=e.geometry;t.applyMatrix4(e.matrix),i.push(t)}try{const t=fr.mergeGeometries(i);if(t){return this.createObject(t,Ns.MESH,s)}null===(e=this.states)||void 0===e||e.error.set(\\\\\\\"merge failed, check that input geometries have the same attributes\\\\\\\")}catch(t){null===(n=this.states)||void 0===n||n.error.set(t.message)}}}E$.DEFAULT_PARAMS={keepOnlyPosition:!1},E$.INPUT_CLONED_STATE=Qi.ALWAYS;const S$=E$.DEFAULT_PARAMS;const C$=new class extends ua{constructor(){super(...arguments),this.keepOnlyPosition=ha.BOOLEAN(S$.keepOnlyPosition)}};class N$ extends uV{constructor(){super(...arguments),this.paramsConfig=C$}static type(){return\\\\\\\"BVH\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to create BVH from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(E$.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new E$(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class L$ extends aV{static type(){return\\\\\\\"BVHVisualizer\\\\\\\"}cook(t,e){const n=t[0].objects()[0],i=new M$(n,e.depth);return i.opacity=1,i.update(),this.createCoreGroupFromObjects([i])}}L$.DEFAULT_PARAMS={depth:0},L$.INPUT_CLONED_STATE=Qi.NEVER;const O$=L$.DEFAULT_PARAMS;const P$=new class extends ua{constructor(){super(...arguments),this.depth=ha.INTEGER(O$.depth,{range:[0,20],rangeLocked:[!0,!1]})}};class R$ extends uV{constructor(){super(...arguments),this.paramsConfig=P$}static type(){return\\\\\\\"BVHVisualizer\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry with bvh\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(L$.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new L$(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class I$ extends C.a{constructor(t,e,n,i=1){\\\\\\\"number\\\\\\\"==typeof n&&(i=n,n=!1,console.error(\\\\\\\"THREE.InstancedBufferAttribute: The constructor now expects normalized as the third argument.\\\\\\\")),super(t,e,n),this.meshPerAttribute=i}copy(t){return super.copy(t),this.meshPerAttribute=t.meshPerAttribute,this}toJSON(){const t=super.toJSON();return t.meshPerAttribute=this.meshPerAttribute,t.isInstancedBufferAttribute=!0,t}}I$.prototype.isInstancedBufferAttribute=!0;const F$=new A.a,D$=new A.a,B$=[],z$=new B.a;class k$ extends B.a{constructor(t,e,n){super(t,e),this.instanceMatrix=new I$(new Float32Array(16*n),16),this.instanceColor=null,this.count=n,this.frustumCulled=!1}copy(t){return super.copy(t),this.instanceMatrix.copy(t.instanceMatrix),null!==t.instanceColor&&(this.instanceColor=t.instanceColor.clone()),this.count=t.count,this}getColorAt(t,e){e.fromArray(this.instanceColor.array,3*t)}getMatrixAt(t,e){e.fromArray(this.instanceMatrix.array,16*t)}raycast(t,e){const n=this.matrixWorld,i=this.count;if(z$.geometry=this.geometry,z$.material=this.material,void 0!==z$.material)for(let s=0;st.far||e.push({distance:a,point:G$.clone(),uv:tr.a.getUV(G$,X$,Y$,$$,J$,Z$,K$,new d.a),face:null,object:this})}copy(t){return super.copy(t),void 0!==t.center&&this.center.copy(t.center),this.material=t.material,this}}function tJ(t,e,n,i,s,r){j$.subVectors(t,n).addScalar(.5).multiply(i),void 0!==s?(W$.x=r*j$.x-s*j$.y,W$.y=s*j$.x+r*j$.y):W$.copy(j$),t.copy(e),t.x+=W$.x,t.y+=W$.y,t.applyMatrix4(q$)}Q$.prototype.isSprite=!0;var eJ=n(92),nJ=n(81),iJ=n(46);class sJ{constructor(){this.coefficients=[];for(let t=0;t<9;t++)this.coefficients.push(new p.a)}set(t){for(let e=0;e<9;e++)this.coefficients[e].copy(t[e]);return this}zero(){for(let t=0;t<9;t++)this.coefficients[t].set(0,0,0);return this}getAt(t,e){const n=t.x,i=t.y,s=t.z,r=this.coefficients;return e.copy(r[0]).multiplyScalar(.282095),e.addScaledVector(r[1],.488603*i),e.addScaledVector(r[2],.488603*s),e.addScaledVector(r[3],.488603*n),e.addScaledVector(r[4],n*i*1.092548),e.addScaledVector(r[5],i*s*1.092548),e.addScaledVector(r[6],.315392*(3*s*s-1)),e.addScaledVector(r[7],n*s*1.092548),e.addScaledVector(r[8],.546274*(n*n-i*i)),e}getIrradianceAt(t,e){const n=t.x,i=t.y,s=t.z,r=this.coefficients;return e.copy(r[0]).multiplyScalar(.886227),e.addScaledVector(r[1],1.023328*i),e.addScaledVector(r[2],1.023328*s),e.addScaledVector(r[3],1.023328*n),e.addScaledVector(r[4],.858086*n*i),e.addScaledVector(r[5],.858086*i*s),e.addScaledVector(r[6],.743125*s*s-.247708),e.addScaledVector(r[7],.858086*n*s),e.addScaledVector(r[8],.429043*(n*n-i*i)),e}add(t){for(let e=0;e<9;e++)this.coefficients[e].add(t.coefficients[e]);return this}addScaledSH(t,e){for(let n=0;n<9;n++)this.coefficients[n].addScaledVector(t.coefficients[n],e);return this}scale(t){for(let e=0;e<9;e++)this.coefficients[e].multiplyScalar(t);return this}lerp(t,e){for(let n=0;n<9;n++)this.coefficients[n].lerp(t.coefficients[n],e);return this}equals(t){for(let e=0;e<9;e++)if(!this.coefficients[e].equals(t.coefficients[e]))return!1;return!0}copy(t){return this.set(t.coefficients)}clone(){return(new this.constructor).copy(this)}fromArray(t,e=0){const n=this.coefficients;for(let i=0;i<9;i++)n[i].fromArray(t,e+3*i);return this}toArray(t=[],e=0){const n=this.coefficients;for(let i=0;i<9;i++)n[i].toArray(t,e+3*i);return t}static getBasisAt(t,e){const n=t.x,i=t.y,s=t.z;e[0]=.282095,e[1]=.488603*i,e[2]=.488603*s,e[3]=.488603*n,e[4]=1.092548*n*i,e[5]=1.092548*i*s,e[6]=.315392*(3*s*s-1),e[7]=1.092548*n*s,e[8]=.546274*(n*n-i*i)}}sJ.prototype.isSphericalHarmonics3=!0;class rJ extends cv.a{constructor(t=new sJ,e=1){super(void 0,e),this.sh=t}copy(t){return super.copy(t),this.sh.copy(t.sh),this}fromJSON(t){return this.intensity=t.intensity,this.sh.fromArray(t.sh),this}toJSON(t){const e=super.toJSON(t);return e.object.sh=this.sh.toArray(),e}}rJ.prototype.isLightProbe=!0;var oJ=n(63),aJ=n(43);class lJ extends S.a{constructor(){super(),this.type=\\\\\\\"InstancedBufferGeometry\\\\\\\",this.instanceCount=1/0}copy(t){return super.copy(t),this.instanceCount=t.instanceCount,this}clone(){return(new this.constructor).copy(this)}toJSON(){const t=super.toJSON(this);return t.instanceCount=this.instanceCount,t.isInstancedBufferGeometry=!0,t}}lJ.prototype.isInstancedBufferGeometry=!0;class cJ extends Vf.a{constructor(t){super(t)}load(t,e,n,i){const s=this,r=new Gf.a(s.manager);r.setPath(s.path),r.setRequestHeader(s.requestHeader),r.setWithCredentials(s.withCredentials),r.load(t,(function(n){try{e(s.parse(JSON.parse(n)))}catch(e){i?i(e):console.error(e),s.manager.itemError(t)}}),n,i)}parse(t){const e={},n={};function i(t,i){if(void 0!==e[i])return e[i];const s=t.interleavedBuffers[i],r=function(t,e){if(void 0!==n[e])return n[e];const i=t.arrayBuffers[e],s=new Uint32Array(i).buffer;return n[e]=s,s}(t,s.buffer),o=Object(It.c)(s.type,r),a=new cr.a(o,s.stride);return a.uuid=s.uuid,e[i]=a,a}const s=t.isInstancedBufferGeometry?new lJ:new S.a,r=t.data.index;if(void 0!==r){const t=Object(It.c)(r.type,r.array);s.setIndex(new C.a(t,1))}const o=t.data.attributes;for(const e in o){const n=o[e];let r;if(n.isInterleavedBufferAttribute){const e=i(t.data,n.data);r=new hr.a(e,n.itemSize,n.offset,n.normalized)}else{const t=Object(It.c)(n.type,n.array);r=new(n.isInstancedBufferAttribute?I$:C.a)(t,n.itemSize,n.normalized)}void 0!==n.name&&(r.name=n.name),void 0!==n.usage&&r.setUsage(n.usage),void 0!==n.updateRange&&(r.updateRange.offset=n.updateRange.offset,r.updateRange.count=n.updateRange.count),s.setAttribute(e,r)}const a=t.data.morphAttributes;if(a)for(const e in a){const n=a[e],r=[];for(let e=0,s=n.length;eNumber.EPSILON){const u=Math.sqrt(h),p=Math.sqrt(l*l+c*c),_=e.x-a/u,m=e.y+o/u,f=((n.x-c/p-_)*c-(n.y+l/p-m)*l)/(o*c-a*l);i=_+o*f-t.x,s=m+a*f-t.y;const g=i*i+s*s;if(g<=2)return new d.a(i,s);r=Math.sqrt(g/2)}else{let t=!1;o>Number.EPSILON?l>Number.EPSILON&&(t=!0):o<-Number.EPSILON?l<-Number.EPSILON&&(t=!0):Math.sign(a)===Math.sign(c)&&(t=!0),t?(i=-a,s=o,r=Math.sqrt(h)):(i=o,s=a,r=Math.sqrt(h/2))}return new d.a(i/r,s/r)}const R=[];for(let t=0,e=C.length,n=e-1,i=t+1;t=0;t--){const e=t/m,n=h*Math.cos(e*Math.PI/2),i=u*Math.sin(e*Math.PI/2)+_;for(let t=0,e=C.length;t=0;){const i=n;let s=n-1;s<0&&(s=t.length-1);for(let t=0,n=a+2*m;t0){const n=new Xg.b(e);s=new oJ.a(n),s.setCrossOrigin(this.crossOrigin);for(let e=0,n=t.length;e0){i=new oJ.a(this.manager),i.setCrossOrigin(this.crossOrigin);for(let e=0,i=t.length;e{BJ.PARAM_CALLBACK_reset(t,e)}})}};class BJ extends uV{constructor(){super(...arguments),this.paramsConfig=DJ}static type(){return\\\\\\\"cache\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to cache\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1)}cook(t){const e=\\\\\\\"\\\\\\\"==this.pv.cache||null==this.pv.cache,n=t[0];if(e&&n){const t=[];for(let e of n.objects())t.push(e.toJSON());this.setCoreGroup(n),this.p.cache.set(JSON.stringify(t))}else if(this.pv.cache){const t=new PJ,e=JSON.parse(this.pv.cache),n=[];for(let i of e){const e=t.parse(i);n.push(e)}this.setObjects(n)}else this.setObjects([])}static PARAM_CALLBACK_reset(t,e){t.param_callback_PARAM_CALLBACK_reset()}async param_callback_PARAM_CALLBACK_reset(){this.p.cache.set(\\\\\\\"\\\\\\\"),this.compute()}}const zJ={direction:new p.a(0,1,0)},kJ=[new d.a(-1,-1),new d.a(-1,1),new d.a(1,1),new d.a(1,-1)],UJ=new p.a(0,0,1);const GJ=new class extends ua{constructor(){super(...arguments),this.camera=ha.NODE_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.OBJ,types:ds}}),this.direction=ha.VECTOR3(zJ.direction),this.offset=ha.FLOAT(0,{range:[-10,10],rangeLocked:[!1,!1]}),this.useSegmentsCount=ha.BOOLEAN(!0),this.stepSize=ha.FLOAT(1,{range:[.001,1],rangeLocked:[!1,!1],visibleIf:{useSegmentsCount:0}}),this.segments=ha.VECTOR2([10,10],{visibleIf:{useSegmentsCount:1}}),this.sizeMult=ha.FLOAT(1,{range:[0,2],rangeLocked:[!0,!1]}),this.updateOnWindowResize=ha.BOOLEAN(1),this.update=ha.BUTTON(null,{callback:t=>{VJ.PARAM_CALLBACK_update(t)}})}};class VJ extends uV{constructor(){super(...arguments),this.paramsConfig=GJ,this._plane=new Y.a,this._raycaster=new eO,this._planeCorners=[new p.a,new p.a,new p.a,new p.a],this._planeCenter=new p.a,this._core_transform=new bU,this.segments_count=new d.a(1,1),this.planeSize=new d.a}static type(){return\\\\\\\"cameraPlane\\\\\\\"}cook(){this._updateWindowControllerDependency();const t=this.pv.camera.nodeWithContext(ts.OBJ);if(!t)return this.states.error.set(\\\\\\\"no camera found\\\\\\\"),void this.cookController.endCook();if(!ds.includes(t.type()))return this.states.error.set(\\\\\\\"node found is not a camera\\\\\\\"),void this.cookController.endCook();const e=t.object;this._computePlaneParams(e)}_updateWindowControllerDependency(){this.pv.updateOnWindowResize?this.addGraphInput(this.scene().windowController.graphNode()):this.removeGraphInput(this.scene().windowController.graphNode())}_computePlaneParams(t){this._plane.normal.copy(this.pv.direction),this._plane.constant=this.pv.offset;let e=0;this._planeCenter.set(0,0,0);for(let n of kJ){this._raycaster.setFromCamera(n,t);const i=this._planeCorners[e];this._raycaster.ray.intersectPlane(this._plane,i),this._planeCenter.add(i),e++}this._planeCenter.multiplyScalar(.25);const n=this._planeCorners[1].distanceTo(this._planeCorners[2]),i=this._planeCorners[0].distanceTo(this._planeCorners[3]),s=this._planeCorners[0].distanceTo(this._planeCorners[1]),r=this._planeCorners[2].distanceTo(this._planeCorners[3]),o=Math.max(n,i)*this.pv.sizeMult,a=Math.max(s,r)*this.pv.sizeMult;this.planeSize.set(o,a);const l=this._createPlane(this.planeSize);this._core_transform.rotateGeometry(l,UJ,this.pv.direction);const c=this._core_transform.translationMatrix(this._planeCenter);l.applyMatrix4(c),this.setGeometry(l)}_createPlane(t){return t=t.clone(),this.pv.useSegmentsCount?(this.segments_count.x=Math.floor(this.pv.segments.x),this.segments_count.y=Math.floor(this.pv.segments.y)):this.pv.stepSize>0&&(this.segments_count.x=Math.floor(t.x/this.pv.stepSize),this.segments_count.y=Math.floor(t.y/this.pv.stepSize),t.x=this.segments_count.x*this.pv.stepSize,t.y=this.segments_count.y*this.pv.stepSize),new L(t.x,t.y,this.segments_count.x,this.segments_count.y)}static PARAM_CALLBACK_update(t){t._paramCallbackUpdate()}_paramCallbackUpdate(){this.setDirty()}}class HJ extends aV{constructor(){super(...arguments),this._pointPosition=new p.a}static type(){return\\\\\\\"cameraProject\\\\\\\"}cook(t,e){var n,i;const s=t[0],r=e.camera.nodeWithContext(ts.OBJ,null===(n=this.states)||void 0===n?void 0:n.error);if(r){const t=r.object;for(let n of s.points())n.getPosition(this._pointPosition),e.unproject?this._pointPosition.unproject(t):this._pointPosition.project(t),n.setPosition(this._pointPosition)}else null===(i=this.states)||void 0===i||i.error.set(\\\\\\\"cameraNode invalid.\\\\\\\");return s}}HJ.DEFAULT_PARAMS={camera:new yi(\\\\\\\"\\\\\\\"),unproject:!1},HJ.INPUT_CLONED_STATE=Qi.FROM_NODE;const jJ=HJ.DEFAULT_PARAMS;const WJ=new class extends ua{constructor(){super(...arguments),this.camera=ha.NODE_PATH(jJ.camera.path(),{nodeSelection:{context:ts.OBJ,types:ds}}),this.unproject=ha.BOOLEAN(jJ.unproject)}};class qJ extends uV{constructor(){super(...arguments),this.paramsConfig=WJ}static type(){return\\\\\\\"cameraProject\\\\\\\"}static displayedInputNames(){return[\\\\\\\"points to project/unproject\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(HJ.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new HJ(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class XJ extends aV{constructor(){super(...arguments),this._geo_center=new p.a}static type(){return\\\\\\\"center\\\\\\\"}cook(t,e){var n;const i=t[0].objectsWithGeo(),s=new Array(3*i.length);s.fill(0);for(let t=0;t0&&(r.push(t-1),r.push(t));r.push(e-1),r.push(0);const a=new S.a;return a.setAttribute(\\\\\\\"position\\\\\\\",new C.c(s,3)),a.setIndex(r),a}}const ZJ=new p.a(0,0,1);class KJ extends aV{constructor(){super(...arguments),this._core_transform=new bU}static type(){return\\\\\\\"circle\\\\\\\"}cook(t,e){return e.open?this._create_circle(e):this._create_disk(e)}_create_circle(t){const e=JJ.create(t.radius,t.segments,t.arcAngle);return this._core_transform.rotateGeometry(e,ZJ,t.direction),this.createCoreGroupFromGeometry(e,Ns.LINE_SEGMENTS)}_create_disk(t){const e=new hJ(t.radius,t.segments);return this._core_transform.rotateGeometry(e,ZJ,t.direction),this.createCoreGroupFromGeometry(e)}}KJ.DEFAULT_PARAMS={radius:1,segments:12,open:!0,arcAngle:360,direction:new p.a(0,1,0)};const QJ=KJ.DEFAULT_PARAMS;const tZ=new class extends ua{constructor(){super(...arguments),this.radius=ha.FLOAT(QJ.radius),this.segments=ha.INTEGER(QJ.segments,{range:[1,50],rangeLocked:[!0,!1]}),this.open=ha.BOOLEAN(QJ.open),this.arcAngle=ha.FLOAT(QJ.arcAngle,{range:[0,360],rangeLocked:[!1,!1],visibleIf:{open:1}}),this.direction=ha.VECTOR3(QJ.direction)}};class eZ extends uV{constructor(){super(...arguments),this.paramsConfig=tZ}static type(){return\\\\\\\"circle\\\\\\\"}initializeNode(){}cook(){this._operation=this._operation||new KJ(this._scene,this.states);const t=this._operation.cook([],this.pv);this.setCoreGroup(t)}}var nZ;!function(t){t.SEGMENTS_COUNT=\\\\\\\"segments count\\\\\\\",t.SEGMENTS_LENGTH=\\\\\\\"segments length\\\\\\\"}(nZ||(nZ={}));const iZ=[nZ.SEGMENTS_COUNT,nZ.SEGMENTS_LENGTH];var sZ;!function(t){t.ABC=\\\\\\\"abc\\\\\\\",t.ACB=\\\\\\\"acb\\\\\\\",t.AB=\\\\\\\"ab\\\\\\\",t.BC=\\\\\\\"bc\\\\\\\",t.AC=\\\\\\\"ac\\\\\\\"}(sZ||(sZ={}));const rZ=[sZ.ABC,sZ.ACB,sZ.AB,sZ.AC,sZ.BC];class oZ{constructor(t){this.params=t,this.a=new p.a,this.b=new p.a,this.c=new p.a,this.an=new p.a,this.bn=new p.a,this.cn=new p.a,this.ac=new p.a,this.ab=new p.a,this.ab_x_ac=new p.a,this.part0=new p.a,this.part1=new p.a,this.divider=1,this.a_center=new p.a,this.center=new p.a,this.normal=new p.a,this.radius=1,this.x=new p.a,this.y=new p.a,this.z=new p.a,this.angle_ab=1,this.angle_ac=1,this.angle_bc=1,this.angle=2*Math.PI,this.x_rotated=new p.a,this._created_geometries={}}created_geometries(){return this._created_geometries}create(t,e,n){this.a.copy(t),this.b.copy(e),this.c.copy(n),this._compute_axis(),this._create_arc(),this._create_center()}_create_arc(){this._compute_angle();const t=this._points_count(),e=new Array(3*t),n=new Array(t),i=this.angle/(t-1);this.x_rotated.copy(this.x).multiplyScalar(this.radius);let s=0;for(s=0;s0&&(n[2*(s-1)]=s-1,n[2*(s-1)+1]=s);this.params.full&&(n.push(s-1),n.push(0));const r=new S.a;if(r.setAttribute(\\\\\\\"position\\\\\\\",new C.a(new Float32Array(e),3)),r.setIndex(n),this.params.addIdAttribute||this.params.addIdnAttribute){const e=new Array(t);for(let t=0;te/(t-1)));this.params.addIdnAttribute&&r.setAttribute(\\\\\\\"idn\\\\\\\",new C.a(new Float32Array(n),1))}this._created_geometries.arc=r}_create_center(){if(!this.params.center)return;const t=new S.a,e=[this.center.x,this.center.y,this.center.z];t.setAttribute(\\\\\\\"position\\\\\\\",new C.a(new Float32Array(e),3)),this._created_geometries.center=t}_compute_axis(){this.ac.copy(this.c).sub(this.a),this.ab.copy(this.b).sub(this.a),this.ab_x_ac.copy(this.ab).cross(this.ac),this.divider=2*this.ab_x_ac.lengthSq(),this.part0.copy(this.ab_x_ac).cross(this.ab).multiplyScalar(this.ac.lengthSq()),this.part1.copy(this.ac).cross(this.ab_x_ac).multiplyScalar(this.ab.lengthSq()),this.a_center.copy(this.part0).add(this.part1).divideScalar(this.divider),this.radius=this.a_center.length(),this.normal.copy(this.ab_x_ac).normalize(),this.center.copy(this.a).add(this.a_center)}_compute_angle(){this.params.arc&&(this.params.full?(this.x.copy(this.a).sub(this.center).normalize(),this.angle=2*Math.PI):(this.an.copy(this.a).sub(this.center).normalize(),this.bn.copy(this.b).sub(this.center).normalize(),this.cn.copy(this.c).sub(this.center).normalize(),this._set_x_from_joinMode(),this.y.copy(this.normal),this.z.copy(this.x).cross(this.y).normalize(),this.angle_ab=this.an.angleTo(this.bn),this.angle_ac=this.an.angleTo(this.cn),this.angle_bc=this.bn.angleTo(this.cn),this._set_angle_from_joinMode()))}_points_count(){const t=this.params.pointsCountMode;switch(t){case nZ.SEGMENTS_COUNT:return this.params.segmentsCount+1;case nZ.SEGMENTS_LENGTH:{let t=Math.PI*this.radius*this.radius;return this.params.full||(t*=Math.abs(this.angle)/(2*Math.PI)),Math.ceil(t/this.params.segmentsLength)}}os.unreachable(t)}_set_x_from_joinMode(){const t=this.params.joinMode;switch(this.x.copy(this.a).sub(this.center).normalize(),t){case sZ.ABC:case sZ.ACB:case sZ.AB:case sZ.AC:return this.x.copy(this.an);case sZ.BC:return this.x.copy(this.bn)}os.unreachable(t)}_set_angle_from_joinMode(){const t=this.params.joinMode;switch(t){case sZ.ABC:return void(this.angle=this.angle_ab+this.angle_bc);case sZ.ACB:return this.angle=this.angle_ac+this.angle_bc,void(this.angle*=-1);case sZ.AB:return void(this.angle=this.angle_ab);case sZ.AC:return this.angle=this.angle_ac,void(this.angle*=-1);case sZ.BC:return void(this.angle=this.angle_bc)}os.unreachable(t)}}const aZ=new class extends ua{constructor(){super(...arguments),this.arc=ha.BOOLEAN(1),this.pointsCountMode=ha.INTEGER(iZ.indexOf(nZ.SEGMENTS_COUNT),{visibleIf:{arc:1},menu:{entries:iZ.map(((t,e)=>({value:e,name:t})))}}),this.segmentsLength=ha.FLOAT(.1,{visibleIf:{arc:1,pointsCountMode:iZ.indexOf(nZ.SEGMENTS_LENGTH)},range:[0,1],rangeLocked:[!0,!1]}),this.segmentsCount=ha.INTEGER(100,{visibleIf:{arc:1,pointsCountMode:iZ.indexOf(nZ.SEGMENTS_COUNT)},range:[1,100],rangeLocked:[!0,!1]}),this.full=ha.BOOLEAN(1,{visibleIf:{arc:1}}),this.joinMode=ha.INTEGER(rZ.indexOf(sZ.ABC),{visibleIf:{arc:1,full:0},menu:{entries:rZ.map(((t,e)=>({value:e,name:t})))}}),this.addIdAttribute=ha.BOOLEAN(1),this.addIdnAttribute=ha.BOOLEAN(1),this.center=ha.BOOLEAN(0)}};class lZ extends uV{constructor(){super(...arguments),this.paramsConfig=aZ,this.a=new p.a,this.b=new p.a,this.c=new p.a}static type(){return\\\\\\\"circle3Points\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState([Qi.NEVER])}cook(t){const e=t[0].points();e.length<3?this.states.error.set(`only ${e.length} points found, when 3 are required`):this._create_circle(e)}_create_circle(t){const e=new oZ({arc:this.pv.arc,center:this.pv.center,pointsCountMode:iZ[this.pv.pointsCountMode],segmentsLength:this.pv.segmentsLength,segmentsCount:this.pv.segmentsCount,full:this.pv.full,joinMode:rZ[this.pv.joinMode],addIdAttribute:this.pv.addIdAttribute,addIdnAttribute:this.pv.addIdnAttribute});t[0].getPosition(this.a),t[1].getPosition(this.b),t[2].getPosition(this.c),e.create(this.a,this.b,this.c);const n=[],i=e.created_geometries();i.arc&&n.push(this.createObject(i.arc,Ns.LINE_SEGMENTS)),i.center&&n.push(this.createObject(i.center,Ns.POINTS)),this.setObjects(n)}}const cZ=new p.a,hZ=new Dy;class uZ extends aV{constructor(){super(...arguments),this._plane=new Y.a}static type(){return\\\\\\\"clip\\\\\\\"}cook(t,e){const n=t[0].objectsWithGeo()[0];this._plane.set(e.direction,-e.distance),this._plane.translate(e.origin);const i=this._createClipGeo(n);return i?this.createCoreGroupFromObjects([i]):this.createCoreGroupFromObjects([])}_createClipGeo(t){var e;const n=t;if(!n.geometry.boundsTree)return void(null===(e=this.states)||void 0===e||e.error.set(\\\\\\\"no BVH found on input geo, make sure to use a BVH SOP node\\\\\\\"));const i=n.geometry.boundsTree,s=t=>{let e=0;return i.shapecast({intersectsBounds:t=>this._plane.intersectsBox(t),intersectsTriangle:n=>{let i=0;hZ.start.copy(n.a),hZ.end.copy(n.b),this._plane.intersectLine(hZ,cZ)&&(null==t||t.setXYZ(e,cZ.x,cZ.y,cZ.z),e++,i++),hZ.start.copy(n.b),hZ.end.copy(n.c),this._plane.intersectLine(hZ,cZ)&&(null==t||t.setXYZ(e,cZ.x,cZ.y,cZ.z),i++,e++),hZ.start.copy(n.c),hZ.end.copy(n.a),this._plane.intersectLine(hZ,cZ)&&(null==t||t.setXYZ(e,cZ.x,cZ.y,cZ.z),i++,e++),2!==i&&(e-=i)}}),{index:e}},{index:r}=s(),o=new S.a,a=new C.a(new Float32Array(3*r),3,!1);o.setAttribute(\\\\\\\"position\\\\\\\",a);const l=new Ms.a(o,js.MATERIALS[Ns.LINE_SEGMENTS]);l.frustumCulled=!1;return s(l.geometry.attributes.position),l}}uZ.DEFAULT_PARAMS={origin:new p.a(0,0,0),distance:0,direction:new p.a(0,1,0)},uZ.INPUT_CLONED_STATE=Qi.NEVER;const dZ=uZ.DEFAULT_PARAMS;const pZ=new class extends ua{constructor(){super(...arguments),this.origin=ha.VECTOR3(dZ.origin),this.distance=ha.FLOAT(dZ.distance,{range:[-10,10],rangeLocked:[!1,!1]}),this.direction=ha.VECTOR3(dZ.direction)}};class _Z extends uV{constructor(){super(...arguments),this.paramsConfig=pZ}static type(){return\\\\\\\"clip\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(uZ.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new uZ(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class mZ extends aV{static type(){return\\\\\\\"color\\\\\\\"}cook(t,e){}}mZ.DEFAULT_PARAMS={fromAttribute:!1,attribName:\\\\\\\"\\\\\\\",color:new D.a(1,1,1),asHsv:!1};const fZ=new D.a(1,1,1),gZ=\\\\\\\"color\\\\\\\",vZ=mZ.DEFAULT_PARAMS;const yZ=new class extends ua{constructor(){super(...arguments),this.fromAttribute=ha.BOOLEAN(vZ.fromAttribute),this.attribName=ha.STRING(vZ.attribName,{visibleIf:{fromAttribute:1}}),this.color=ha.COLOR(vZ.color,{visibleIf:{fromAttribute:0},expression:{forEntities:!0}}),this.asHsv=ha.BOOLEAN(vZ.asHsv,{visibleIf:{fromAttribute:0}})}};class xZ extends uV{constructor(){super(...arguments),this.paramsConfig=yZ,this._r_arrays_by_geometry_uuid={},this._g_arrays_by_geometry_uuid={},this._b_arrays_by_geometry_uuid={}}static type(){return\\\\\\\"color\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to update color of\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}async cook(t){const e=t[0],n=e.coreObjects();for(let t of n)if(this.pv.fromAttribute)this._set_fromAttribute(t);else{this.p.color.hasExpression()?await this._eval_expressions(t):this._eval_simple_values(t)}if(!this.io.inputs.cloneRequired(0)){const t=e.geometries();for(let e of t)e.getAttribute(gZ).needsUpdate=!0}this.setCoreGroup(e)}_set_fromAttribute(t){const e=t.coreGeometry();if(!e)return;this._create_init_color(e,fZ);const n=e.points(),i=e.attribSize(this.pv.attribName),s=e.geometry(),r=s.getAttribute(this.pv.attribName).array,o=s.getAttribute(gZ).array;switch(i){case 1:for(let t=0;t{a[t.index()]=e}));else for(let t of n)e[3*t.index()+i]=r;return a}_init_array_if_required(t,e,n){const i=t.uuid,s=e[i];return s?s.length{const n=e.attribSize(t),o=new Float32Array(r*n);i.forEach(((e,i)=>{const s=e.attribValue(t);m.isNumber(s)?o[i]=s:s.toArray(o,i*n)})),s.setAttribute(t,new I$(o,n))}));return new fr(s).markAsInstance(),s}}LZ.transformAttributeNames=[CZ.POSITION,CZ.ORIENTATION,CZ.SCALE],LZ._point_color=new p.a,LZ._point_uv=new d.a,LZ._position=new p.a(0,0,0),LZ._quaternion=new hh.a,LZ._scale=new p.a(1,1,1),LZ._tmpMatrix=new A.a;class OZ extends ah{set_point(t){this._point=t,this.setDirty(),this.removeDirtyState()}value(t){return this._point?t?this._point.attribValue(t):this._point.index():this._global_index}}var PZ;!function(t){t[t.OBJECT=0]=\\\\\\\"OBJECT\\\\\\\",t[t.GEOMETRY=1]=\\\\\\\"GEOMETRY\\\\\\\"}(PZ||(PZ={}));const RZ=[PZ.OBJECT,PZ.GEOMETRY],IZ=[{name:\\\\\\\"object\\\\\\\",value:PZ.OBJECT},{name:\\\\\\\"geometry\\\\\\\",value:PZ.GEOMETRY}];const FZ=new class extends ua{constructor(){super(...arguments),this.count=ha.INTEGER(1,{range:[1,20],rangeLocked:[!0,!1]}),this.transformOnly=ha.BOOLEAN(0),this.transformMode=ha.INTEGER(0,{menu:{entries:IZ}}),this.copyAttributes=ha.BOOLEAN(0),this.attributesToCopy=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:{copyAttributes:!0}}),this.useCopyExpr=ha.BOOLEAN(0)}};class DZ extends uV{constructor(){super(...arguments),this.paramsConfig=FZ,this._attribute_names_to_copy=[],this._objects=[],this._instancer=new LZ,this._instanceMatrix=new A.a,this._object_position=new p.a}static type(){return\\\\\\\"copy\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to be copied\\\\\\\",\\\\\\\"points to copy to\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1,2),this.io.inputs.initInputsClonedState([Qi.ALWAYS,Qi.NEVER])}async cook(t){const e=t[0];if(!this.io.inputs.has_input(1))return void await this.cook_without_template(e);const n=t[1];n?await this.cook_with_template(e,n):this.states.error.set(\\\\\\\"second input invalid\\\\\\\")}async cook_with_template(t,e){this._objects=[];const n=e.points();this._instancer.setCoreGroup(e),this._attribute_names_to_copy=ss.attribNames(this.pv.attributesToCopy).filter((t=>e.hasAttrib(t))),await this._copy_moved_objects_on_template_points(t,n),this.setObjects(this._objects)}async _copy_moved_objects_on_template_points(t,e){for(let n=0;n{const e=br.clone(t);this._objects.push(e)}))}async cook_without_template(t){this._objects=[],await this._copy_moved_objects_for_each_instance(t),this.setObjects(this._objects)}_copyAttributes_from_template(t,e){this._attribute_names_to_copy.forEach(((n,i)=>{const s=e.attribValue(n);new br(t,i).addAttribute(n,s)}))}stamp_value(t){return this.stamp_node.value(t)}get stamp_node(){return this._stamp_node=this._stamp_node||this.create_stamp_node()}create_stamp_node(){const t=new OZ(this.scene());return this.dirtyController.setForbiddenTriggerNodes([t]),t}dispose(){super.dispose(),this._stamp_node&&this._stamp_node.dispose()}}const BZ=\\\\\\\"id\\\\\\\",zZ=\\\\\\\"class\\\\\\\",kZ=\\\\\\\"html\\\\\\\";class UZ extends aV{static type(){return\\\\\\\"CSS2DObject\\\\\\\"}cook(t,e){const n=t[0];if(n){const t=this._create_objects_from_input_points(n,e);return this.createCoreGroupFromObjects(t)}{const t=this._create_object_from_scratch(e);return this.createCoreGroupFromObjects([t])}}_create_objects_from_input_points(t,e){const n=t.points(),i=[];for(let t of n){const n=e.useIdAttrib?t.attribValue(BZ):e.id,s=e.useClassAttrib?t.attribValue(zZ):e.className,r=e.useHTMLAttrib?t.attribValue(kZ):e.html,o=UZ.create_css_object({id:n,className:s,html:r}),a=o.element;if(e.copyAttributes){const n=ss.attribNames(e.attributesToCopy);for(let e of n){const n=t.attribValue(e);m.isString(n)?a.setAttribute(e,n):m.isNumber(n)&&a.setAttribute(e,`${n}`)}}o.position.copy(t.position()),o.updateMatrix(),i.push(o)}return i}_create_object_from_scratch(t){return UZ.create_css_object({id:t.id,className:t.className,html:t.html})}static create_css_object(t){const e=document.createElement(\\\\\\\"div\\\\\\\");e.id=t.id,e.className=t.className,e.innerHTML=t.html;const n=new dq(e);return n.matrixAutoUpdate=!1,n}}UZ.DEFAULT_PARAMS={useIdAttrib:!1,id:\\\\\\\"myCSSObject\\\\\\\",useClassAttrib:!1,className:\\\\\\\"CSS2DObject\\\\\\\",useHTMLAttrib:!1,html:\\\\\\\"
default html
\\\\\\\",copyAttributes:!1,attributesToCopy:\\\\\\\"\\\\\\\"},UZ.INPUT_CLONED_STATE=Qi.NEVER;const GZ=UZ.DEFAULT_PARAMS;const VZ=new class extends ua{constructor(){super(...arguments),this.useIdAttrib=ha.BOOLEAN(GZ.useIdAttrib),this.id=ha.STRING(GZ.id,{visibleIf:{useIdAttrib:0}}),this.useClassAttrib=ha.BOOLEAN(GZ.useClassAttrib),this.className=ha.STRING(GZ.className,{visibleIf:{useClassAttrib:0}}),this.useHTMLAttrib=ha.BOOLEAN(GZ.useHTMLAttrib),this.html=ha.STRING(GZ.html,{visibleIf:{useHTMLAttrib:0},multiline:!0}),this.copyAttributes=ha.BOOLEAN(GZ.copyAttributes),this.attributesToCopy=ha.STRING(GZ.attributesToCopy,{visibleIf:{copyAttributes:!0}})}};class HZ extends uV{constructor(){super(...arguments),this.paramsConfig=VZ}static type(){return\\\\\\\"CSS2DObject\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(UZ.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new UZ(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class jZ{constructor(t,e){this._size=t,this._type=e}size(){return this._size}type(){return this._type}static from_value(t){const e=m.isString(t)?zs.STRING:zs.NUMERIC;return new this(m.isArray(t)?t.length:1,e)}}class WZ{constructor(t={}){this._attribute_datas_by_name={},this._options={},this._options.dataKeysPrefix=t.dataKeysPrefix,this._options.skipEntries=t.skipEntries,this._options.doConvert=t.doConvert||!1,this._options.convertToNumeric=t.convertToNumeric}dataKeysPrefix(){return this._options.dataKeysPrefix}get_prefixed_json(t,e){if(0==e.length)return t;{const n=e.shift();if(n)return this.get_prefixed_json(t[n],e)}return[]}setJSON(t){return this._json=t}createObject(){const t=new S.a,e=new fr(t);if(null!=this._json){const n=this._json.length;e.initPositionAttribute(n),this._find_attributes();const i=ss.attribNames(this._options.convertToNumeric||\\\\\\\"\\\\\\\");for(let n of Object.keys(this._attribute_datas_by_name)){const s=Xs.remapName(n);let r=this._attribute_values_for_name(n).flat();const o=this._attribute_datas_by_name[n],a=o.size();if(o.type()===zs.STRING)if(this._options.doConvert&&ss.matchesOneMask(n,i)){const e=r.map((t=>m.isString(t)?parseFloat(t)||0:t));t.setAttribute(s,new C.c(e,a))}else{const t=Xs.arrayToIndexedArrays(r);e.setIndexedAttribute(s,t.values,t.indices)}else{const e=r;t.setAttribute(s,new C.c(e,a))}}}return t}_find_attributes(){let t;const e=ss.attribNames(this._options.skipEntries||\\\\\\\"\\\\\\\");if(this._json&&null!=(t=this._json[0]))for(let n of Object.keys(t)){const i=t[n];if(this._value_has_subentries(i))for(let t of Object.keys(i)){const s=[n,t].join(\\\\\\\":\\\\\\\"),r=i[n];ss.matchesOneMask(s,e)||(this._attribute_datas_by_name[s]=jZ.from_value(r))}else ss.matchesOneMask(n,e)||(this._attribute_datas_by_name[n]=jZ.from_value(i))}}_attribute_values_for_name(t){return this._json?this._json.map((e=>{const n=t.split(\\\\\\\":\\\\\\\")[0],i=e[n];if(this._value_has_subentries(i)){return i[t.substring(n.length+1)]||0}return i||0})):[]}_value_has_subentries(t){return m.isObject(t)&&!m.isArray(t)}}const qZ=JSON.stringify([{value:-40},{value:-30},{value:-20},{value:-10},{value:0},{value:10},{value:20},{value:30},{value:40},{value:50},{value:60},{value:70},{value:80}]);const XZ=new class extends ua{constructor(){super(...arguments),this.data=ha.STRING(qZ)}};class YZ extends uV{constructor(){super(...arguments),this.paramsConfig=XZ}static type(){return\\\\\\\"data\\\\\\\"}cook(){let t=null;try{t=JSON.parse(this.pv.data)}catch(t){this.states.error.set(\\\\\\\"could not parse json\\\\\\\")}if(t)try{const e=new WZ;e.setJSON(t);const n=e.createObject();this.setGeometry(n,Ns.POINTS)}catch(t){this.states.error.set(\\\\\\\"could not build geometry from json\\\\\\\")}else this.cookController.endCook()}}class $Z extends $g{constructor(t,e,n={},i){super(t,e,i),this._node=i,this._parser=new WZ(n)}async load(t,e,n){const i=await this._urlToLoad();fetch(i).then((async e=>{let n=await e.json();const i=this._parser.dataKeysPrefix();null!=i&&\\\\\\\"\\\\\\\"!=i&&(n=this._parser.get_prefixed_json(n,i.split(\\\\\\\".\\\\\\\"))),this._parser.setJSON(n);const s=this._parser.createObject();t(s)})).catch((t=>{li.error(\\\\\\\"error\\\\\\\",t),n(t)}))}}const JZ=\\\\\\\"position\\\\\\\";class ZZ extends $g{constructor(t,e,n,i){super(t,e,i),this.attribute_names=n,this._node=i,this.attribute_names_from_first_line=!1,this.lines=[],this.points_count=0,this.attribute_values_by_name={},this.attribute_data_by_name={},this._loading=!1,this.attribute_names||(this.attribute_names_from_first_line=!0)}async load(){if(this._loading)return void console.warn(\\\\\\\"is already loading\\\\\\\");this._loading=!0,this.points_count=0,await this.loadData(),this.infer_types(),this.read_values();return this.create_points()}async loadData(){const t=await this._urlToLoad(),e=await fetch(t),n=await e.text();this.lines=n.split(\\\\\\\"\\\\n\\\\\\\"),this.attribute_names||(this.attribute_names=this.lines[0].split(ZZ.SEPARATOR)),this.attribute_names=this.attribute_names.map((t=>Xs.remapName(t)));for(let t of this.attribute_names)this.attribute_values_by_name[t]=[]}infer_types(){const t=this.attribute_names_from_first_line?1:0;let e=this.lines[t].split(ZZ.SEPARATOR);for(let t=0;tparseFloat(t)))}return t}return t}read_values(){if(!this.attribute_names)return;let t;for(let e=this.attribute_names_from_first_line?1:0;e=this.attribute_names.length){for(let t=0;t({name:t,value:e})))}}),this.url=ha.STRING(tK,{fileBrowse:{type:[Rr.JSON]}}),this.jsonDataKeysPrefix=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:{dataType:QZ.indexOf(KZ.JSON)}}),this.skipEntries=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:{dataType:QZ.indexOf(KZ.JSON)}}),this.convert=ha.BOOLEAN(0,{visibleIf:{dataType:QZ.indexOf(KZ.JSON)}}),this.convertToNumeric=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:{dataType:QZ.indexOf(KZ.JSON),convert:1}}),this.readAttribNamesFromFile=ha.BOOLEAN(1,{visibleIf:{dataType:QZ.indexOf(KZ.CSV)}}),this.attribNames=ha.STRING(\\\\\\\"height scale\\\\\\\",{visibleIf:{dataType:QZ.indexOf(KZ.CSV),readAttribNamesFromFile:0}}),this.reload=ha.BUTTON(null,{callback:(t,e)=>{nK.PARAM_CALLBACK_reload(t,e)}})}};class nK extends uV{constructor(){super(...arguments),this.paramsConfig=eK}static type(){return\\\\\\\"dataUrl\\\\\\\"}initializeNode(){this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.url],(()=>{const t=this.p.url.rawInput();if(t){const e=t.split(\\\\\\\"/\\\\\\\");return e[e.length-1]}return\\\\\\\"\\\\\\\"}))}))}))}async cook(){this._load()}_load(){switch(QZ[this.pv.dataType]){case KZ.JSON:return this._loadJSON();case KZ.CSV:return this._loadCSV()}}_clearLoadedBlob(){switch(QZ[this.pv.dataType]){case KZ.JSON:return this._resetJSON();case KZ.CSV:return this._resetCSV()}}_url(){const t=this.scene().assets.root();return t?`${t}${this.pv.url}`:this.pv.url}_loadJSON(){new $Z(this._url(),this.scene(),{dataKeysPrefix:this.pv.jsonDataKeysPrefix,skipEntries:this.pv.skipEntries,doConvert:this.pv.convert,convertToNumeric:this.pv.convertToNumeric},this).load(this._onLoad.bind(this),void 0,this._onError.bind(this))}_resetJSON(){new $Z(this._url(),this.scene()).deregisterUrl()}_onLoad(t){this.setGeometry(t,Ns.POINTS)}_onError(t){this.states.error.set(`could not load geometry from ${this._url()} (${t})`),this.cookController.endCook()}async _loadCSV(){const t=this.pv.readAttribNamesFromFile?void 0:this.pv.attribNames.split(\\\\\\\" \\\\\\\"),e=new ZZ(this._url(),this.scene(),t,this),n=await e.load();n?this.setGeometry(n,Ns.POINTS):this.states.error.set(\\\\\\\"could not generate points\\\\\\\")}_resetCSV(){new ZZ(this._url(),this.scene(),[],this).deregisterUrl()}static PARAM_CALLBACK_reload(t,e){t.param_callback_reload()}param_callback_reload(){this._clearLoadedBlob(),this.p.url.setDirty()}}class iK extends S.a{constructor(t,e,n,i){super();const s=[],r=[],o=[],a=new p.a,l=new A.a;l.makeRotationFromEuler(n),l.setPosition(e);const c=new A.a;function h(e,n,i){n.applyMatrix4(t.matrixWorld),n.applyMatrix4(c),i.transformDirection(t.matrixWorld),e.push(new sK(n.clone(),i.clone()))}function u(t,e){const n=[],s=.5*Math.abs(i.dot(e));for(let i=0;i0,u=t[i+1].position.dot(e)-s>0,p=t[i+2].position.dot(e)-s>0;switch(c=(h?1:0)+(u?1:0)+(p?1:0),c){case 0:n.push(t[i]),n.push(t[i+1]),n.push(t[i+2]);break;case 1:if(h&&(r=t[i+1],o=t[i+2],a=d(t[i],r,e,s),l=d(t[i],o,e,s)),u){r=t[i],o=t[i+2],a=d(t[i+1],r,e,s),l=d(t[i+1],o,e,s),n.push(a),n.push(o.clone()),n.push(r.clone()),n.push(o.clone()),n.push(a.clone()),n.push(l);break}p&&(r=t[i],o=t[i+1],a=d(t[i+2],r,e,s),l=d(t[i+2],o,e,s)),n.push(r.clone()),n.push(o.clone()),n.push(a),n.push(l),n.push(a.clone()),n.push(o.clone());break;case 2:h||(r=t[i].clone(),o=d(r,t[i+1],e,s),a=d(r,t[i+2],e,s),n.push(r),n.push(o),n.push(a)),u||(r=t[i+1].clone(),o=d(r,t[i+2],e,s),a=d(r,t[i],e,s),n.push(r),n.push(o),n.push(a)),p||(r=t[i+2].clone(),o=d(r,t[i],e,s),a=d(r,t[i+1],e,s),n.push(r),n.push(o),n.push(a))}}return n}function d(t,e,n,i){const s=t.position.dot(n)-i,r=s/(s-(e.position.dot(n)-i));return new sK(new p.a(t.position.x+r*(e.position.x-t.position.x),t.position.y+r*(e.position.y-t.position.y),t.position.z+r*(e.position.z-t.position.z)),new p.a(t.normal.x+r*(e.normal.x-t.normal.x),t.normal.y+r*(e.normal.y-t.normal.y),t.normal.z+r*(e.normal.z-t.normal.z)))}c.copy(l).invert(),function(){let e=[];const n=new p.a,c=new p.a;if(!0===t.geometry.isGeometry)return void console.error(\\\\\\\"THREE.DecalGeometry no longer supports THREE.Geometry. Use BufferGeometry instead.\\\\\\\");const d=t.geometry,_=d.attributes.position,m=d.attributes.normal;if(null!==d.index){const t=d.index;for(let i=0;i{this.setCoreGroup(e)}),Math.max(this.pv.duration,0))}}class uK{constructor(t){this.node=t,this.selected_state=new Map,this._entities_count=0,this._selected_entities_count=0}init(t){this.selected_state.clear();for(let e of t)this.selected_state.set(e,!1);this._entities_count=t.length,this._selected_entities_count=0}select(t){const e=this.selected_state.get(t);null!=e&&0==e&&(this.selected_state.set(t,!0),this._selected_entities_count++)}entities_to_keep(){return this._entities_for_state(this.node.pv.invert)}entities_to_delete(){return this._entities_for_state(!this.node.pv.invert)}_entities_for_state(t){const e=!!t,n=t?this._selected_entities_count:this._entities_count-this._selected_entities_count;if(0==n)return[];{const t=new Array(n);let i=0;return this.selected_state.forEach(((n,s)=>{n==e&&(t[i]=s,i++)})),t}}}var dK;!function(t){t.EQUAL=\\\\\\\"==\\\\\\\",t.LESS_THAN=\\\\\\\"<\\\\\\\",t.EQUAL_OR_LESS_THAN=\\\\\\\"<=\\\\\\\",t.EQUAL_OR_GREATER_THAN=\\\\\\\">=\\\\\\\",t.GREATER_THAN=\\\\\\\">\\\\\\\",t.DIFFERENT=\\\\\\\"!=\\\\\\\"}(dK||(dK={}));const pK=[dK.EQUAL,dK.LESS_THAN,dK.EQUAL_OR_LESS_THAN,dK.EQUAL_OR_GREATER_THAN,dK.GREATER_THAN,dK.DIFFERENT],_K={[dK.EQUAL]:(t,e)=>t==e,[dK.LESS_THAN]:(t,e)=>tt<=e,[dK.EQUAL_OR_GREATER_THAN]:(t,e)=>t>=e,[dK.GREATER_THAN]:(t,e)=>t>e,[dK.DIFFERENT]:(t,e)=>t!=e},mK=pK.map(((t,e)=>({name:t,value:e})));class fK{constructor(t){this.node=t}evalForEntities(t){const e=ks[this.node.pv.attribType];switch(e){case zs.NUMERIC:return void this._eval_for_numeric(t);case zs.STRING:return void this._eval_for_string(t)}os.unreachable(e)}_eval_for_string(t){let e;for(let n of t)e=n.stringAttribValue(this.node.pv.attribName),e==this.node.pv.attribString&&this.node.entitySelectionHelper.select(n)}_eval_for_numeric(t){const e=Vs[this.node.pv.attribSize-1];switch(e){case Gs.FLOAT:return this._eval_for_points_numeric_float(t);case Gs.VECTOR2:return this._eval_for_points_numeric_vector2(t);case Gs.VECTOR3:return this._eval_for_points_numeric_vector3(t);case Gs.VECTOR4:return this._eval_for_points_numeric_vector4(t)}os.unreachable(e)}_eval_for_points_numeric_float(t){let e=this.node.pv.attribName;const n=this.node.pv.attribValue1;let i;const s=pK[this.node.pv.attribComparisonOperator],r=_K[s];for(let s of t)i=s.attribValue(e),r(i,n)&&this.node.entitySelectionHelper.select(s)}_eval_for_points_numeric_vector2(t){let e=this.node.pv.attribName;const n=this.node.pv.attribValue2;let i=new d.a;for(let s of t){const t=s.attribValue(e,i);n.equals(t)&&this.node.entitySelectionHelper.select(s)}}_eval_for_points_numeric_vector3(t){let e=this.node.pv.attribName;const n=this.node.pv.attribValue3;let i=new p.a;for(let s of t){const t=s.attribValue(e,i);n.equals(t)&&this.node.entitySelectionHelper.select(s)}}_eval_for_points_numeric_vector4(t){let e=this.node.pv.attribName;const n=this.node.pv.attribValue4;let i=new _.a;for(let s of t){const t=s.attribValue(e,i);n.equals(t)&&this.node.entitySelectionHelper.select(s)}}}class gK{constructor(t){this.node=t}async evalForEntities(t){const e=this.node.p.expression;this.node.p.expression.hasExpression()&&e.expressionController?await this.eval_expressions_for_points_with_expression(t):this.eval_expressions_without_expression(t)}async eval_expressions_for_points_with_expression(t){const e=this.node.p.expression;e.expressionController&&await e.expressionController.computeExpressionForEntities(t,((t,e)=>{e&&this.node.entitySelectionHelper.select(t)}))}eval_expressions_without_expression(t){if(this.node.pv.expression)for(let e of t)this.node.entitySelectionHelper.select(e)}}class vK{constructor(t){this.node=t,this._point_position=new p.a}evalForPoints(t){const e=this._createBbox();for(let n of t){e.containsPoint(n.getPosition(this._point_position))&&this.node.entitySelectionHelper.select(n)}}_createBbox(){return new Ry.a(this.node.pv.bboxCenter.clone().sub(this.node.pv.bboxSize.clone().multiplyScalar(.5)),this.node.pv.bboxCenter.clone().add(this.node.pv.bboxSize.clone().multiplyScalar(.5)))}}class yK{constructor(t){this.node=t}eval_for_objects(t){const e=Ps[this.node.pv.objectType];for(let n of t){Os(n.object().constructor)==e&&this.node.entitySelectionHelper.select(n)}}}class xK{constructor(){this._sidePropertyByMaterial=new WeakMap,this._bound_setMat=this._setObjectMaterialDoubleSided.bind(this),this._bound_restoreMat=this._restoreObjectMaterialSide.bind(this)}setCoreGroupMaterialDoubleSided(t){const e=t.objects();for(let t of e)t.traverse(this._bound_setMat)}restoreMaterialSideProperty(t){const e=t.objects();for(let t of e)t.traverse(this._bound_restoreMat)}_setObjectMaterialDoubleSided(t){const e=t.material;if(e)if(m.isArray(e))for(let t of e)this._setMaterialDoubleSided(t);else this._setMaterialDoubleSided(e)}_restoreObjectMaterialSide(t){const e=t.material;if(e)if(m.isArray(e))for(let t of e)this._restoreMaterialDoubleSided(t);else this._restoreMaterialDoubleSided(e)}_setMaterialDoubleSided(t){this._sidePropertyByMaterial.set(t,t.side),t.side=w.z}_restoreMaterialDoubleSided(t){t.side=this._sidePropertyByMaterial.get(t)||w.z}}const bK=new p.a(0,1,0),wK=new p.a(0,-1,0);class TK{constructor(t){this.node=t,this._matDoubleSideTmpSetter=new xK,this._point_position=new p.a,this._raycaster=new eO,this._intersections=[]}evalForPoints(t,e){if(!e)return;const n=null==e?void 0:e.objectsWithGeo()[0];if(!n)return;const i=n;if(!i.isMesh)return;this._matDoubleSideTmpSetter.setCoreGroupMaterialDoubleSided(e);const s=n.geometry;s.computeBoundingBox();const r=s.boundingBox;for(let e of t)e.getPosition(this._point_position),r.containsPoint(this._point_position)?this._isPositionInObject(this._point_position,i,bK)&&this._isPositionInObject(this._point_position,i,wK)&&this.node.entitySelectionHelper.select(e):this.node.entitySelectionHelper.select(e);this._matDoubleSideTmpSetter.restoreMaterialSideProperty(e)}_isPositionInObject(t,e,n){var i;this._raycaster.ray.direction.copy(n),this._raycaster.ray.origin.copy(t),this._intersections.length=0;const s=this._raycaster.intersectObject(e,!1,this._intersections);if(!s)return!1;if(0==s.length)return!1;const r=null===(i=s[0].face)||void 0===i?void 0:i.normal;if(!r)return!1;return this._raycaster.ray.direction.dot(r)>=0}}const AK=new class extends ua{constructor(){super(...arguments),this.class=ha.INTEGER(Ds.indexOf(Fs.VERTEX),{menu:{entries:Bs}}),this.invert=ha.BOOLEAN(0),this.byObjectType=ha.BOOLEAN(0,{visibleIf:{class:Ds.indexOf(Fs.OBJECT)}}),this.objectType=ha.INTEGER(Ps.indexOf(Ns.MESH),{menu:{entries:Rs},visibleIf:{class:Ds.indexOf(Fs.OBJECT),byObjectType:!0},separatorAfter:!0}),this.byExpression=ha.BOOLEAN(0),this.expression=ha.BOOLEAN(\\\\\\\"@ptnum==0\\\\\\\",{visibleIf:{byExpression:!0},expression:{forEntities:!0},separatorAfter:!0}),this.byAttrib=ha.BOOLEAN(0),this.attribType=ha.INTEGER(ks.indexOf(zs.NUMERIC),{menu:{entries:Us},visibleIf:{byAttrib:1}}),this.attribName=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:{byAttrib:1}}),this.attribSize=ha.INTEGER(1,{range:Hs,rangeLocked:[!0,!0],visibleIf:{byAttrib:1,attribType:ks.indexOf(zs.NUMERIC)}}),this.attribComparisonOperator=ha.INTEGER(pK.indexOf(dK.EQUAL),{menu:{entries:mK},visibleIf:{byAttrib:!0,attribType:ks.indexOf(zs.NUMERIC),attribSize:Gs.FLOAT}}),this.attribValue1=ha.FLOAT(0,{visibleIf:{byAttrib:1,attribType:ks.indexOf(zs.NUMERIC),attribSize:1}}),this.attribValue2=ha.VECTOR2([0,0],{visibleIf:{byAttrib:1,attribType:ks.indexOf(zs.NUMERIC),attribSize:2}}),this.attribValue3=ha.VECTOR3([0,0,0],{visibleIf:{byAttrib:1,attribType:ks.indexOf(zs.NUMERIC),attribSize:3}}),this.attribValue4=ha.VECTOR4([0,0,0,0],{visibleIf:{byAttrib:1,attribType:ks.indexOf(zs.NUMERIC),attribSize:4}}),this.attribString=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:{byAttrib:1,attribType:ks.indexOf(zs.STRING)},separatorAfter:!0}),this.byBbox=ha.BOOLEAN(0,{visibleIf:{class:Ds.indexOf(Fs.VERTEX)}}),this.bboxSize=ha.VECTOR3([1,1,1],{visibleIf:{class:Ds.indexOf(Fs.VERTEX),byBbox:!0}}),this.bboxCenter=ha.VECTOR3([0,0,0],{visibleIf:{class:Ds.indexOf(Fs.VERTEX),byBbox:!0},separatorAfter:!0}),this.byBoundingObject=ha.BOOLEAN(0,{visibleIf:{class:Ds.indexOf(Fs.VERTEX)}}),this.keepPoints=ha.BOOLEAN(0,{visibleIf:{class:Ds.indexOf(Fs.OBJECT)}})}};class MK extends uV{constructor(){super(...arguments),this.paramsConfig=AK,this._marked_for_deletion_per_object_index=new Map,this.entitySelectionHelper=new uK(this),this.byExpressionHelper=new gK(this),this.byAttributeHelper=new fK(this),this.byObjectTypeHelper=new yK(this),this.byBboxHelper=new vK(this),this.byBoundingObjectHelper=new TK(this)}static type(){return\\\\\\\"delete\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to delete from\\\\\\\",\\\\\\\"points inside this geometry will be deleted (optional)\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1,2),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}async cook(t){const e=t[0],n=t[1];switch(this.pv.class){case Fs.VERTEX:await this._eval_for_points(e,n);break;case Fs.OBJECT:await this._eval_for_objects(e)}}set_class(t){this.p.class.set(t)}async _eval_for_objects(t){const e=t.coreObjects();this.entitySelectionHelper.init(e),this._marked_for_deletion_per_object_index=new Map;for(let t of e)this._marked_for_deletion_per_object_index.set(t.index(),!1);this.pv.byExpression&&await this.byExpressionHelper.evalForEntities(e),this.pv.byObjectType&&this.byObjectTypeHelper.eval_for_objects(e),this.pv.byAttrib&&\\\\\\\"\\\\\\\"!=this.pv.attribName&&this.byAttributeHelper.evalForEntities(e);const n=this.entitySelectionHelper.entities_to_keep().map((t=>t.object()));if(this.pv.keepPoints){const t=this.entitySelectionHelper.entities_to_delete();for(let e of t){const t=this._point_object(e);t&&n.push(t)}}this.setObjects(n)}async _eval_for_points(t,e){const n=t.coreObjects();let i,s=[];for(let t=0;t0){const e=fr.geometryFromPoints(a,Os(t.constructor));e&&(t.geometry=e,s.push(t))}}}this.setObjects(s)}_point_object(t){const e=t.points(),n=fr.geometryFromPoints(e,Ns.POINTS);if(n)return this.createObject(n,Ns.POINTS)}}const EK=new class extends ua{constructor(){super(...arguments),this.start=ha.INTEGER(0,{range:[0,100],rangeLocked:[!0,!1]}),this.useCount=ha.BOOLEAN(0),this.count=ha.INTEGER(0,{range:[0,100],rangeLocked:[!0,!1],visibleIf:{useCount:1}})}};class SK extends uV{constructor(){super(...arguments),this.paramsConfig=EK}static type(){return\\\\\\\"drawRange\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}cook(t){const e=t[0],n=e.objects();for(let t of n){const e=t.geometry;if(e){const t=e.drawRange;t.start=this.pv.start,this.pv.useCount?t.count=this.pv.count:t.count=1/0}}this.setCoreGroup(e)}}class CK{constructor(){this.pluginCallbacks=[],this.register((function(t){return new nQ(t)})),this.register((function(t){return new iQ(t)})),this.register((function(t){return new sQ(t)})),this.register((function(t){return new rQ(t)})),this.register((function(t){return new oQ(t)}))}register(t){return-1===this.pluginCallbacks.indexOf(t)&&this.pluginCallbacks.push(t),this}unregister(t){return-1!==this.pluginCallbacks.indexOf(t)&&this.pluginCallbacks.splice(this.pluginCallbacks.indexOf(t),1),this}parse(t,e,n){const i=new eQ,s=[];for(let t=0,e=this.pluginCallbacks.length;t0&&(this.options.trs=!0),this.processInput(t);const i=this;Promise.all(this.pending).then((function(){const t=i.buffers,n=i.json,s=i.options,r=i.extensionsUsed,o=new Blob(t,{type:\\\\\\\"application/octet-stream\\\\\\\"}),a=Object.keys(r);if(a.length>0&&(n.extensionsUsed=a),n.buffers&&n.buffers.length>0&&(n.buffers[0].byteLength=o.size),!0===s.binary){const t=new window.FileReader;t.readAsArrayBuffer(o),t.onloadend=function(){const i=QK(t.result),s=new DataView(new ArrayBuffer(8));s.setUint32(0,i.byteLength,!0),s.setUint32(4,5130562,!0);const r=QK(function(t){if(void 0!==window.TextEncoder)return(new TextEncoder).encode(t).buffer;const e=new Uint8Array(new ArrayBuffer(t.length));for(let n=0,i=t.length;n255?32:i}return e.buffer}(JSON.stringify(n)),32),o=new DataView(new ArrayBuffer(8));o.setUint32(0,r.byteLength,!0),o.setUint32(4,1313821514,!0);const a=new ArrayBuffer(12),l=new DataView(a);l.setUint32(0,1179937895,!0),l.setUint32(4,2,!0);const c=12+o.byteLength+r.byteLength+s.byteLength+i.byteLength;l.setUint32(8,c,!0);const h=new Blob([a,o,r,s,i],{type:\\\\\\\"application/octet-stream\\\\\\\"}),u=new window.FileReader;u.readAsArrayBuffer(h),u.onloadend=function(){e(u.result)}}}else if(n.buffers&&n.buffers.length>0){const t=new window.FileReader;t.readAsDataURL(o),t.onloadend=function(){const i=t.result;n.buffers[0].uri=i,e(n)}}else e(n)}))}serializeUserData(t,e){if(0===Object.keys(t.userData).length)return;const n=this.options,i=this.extensionsUsed;try{const s=JSON.parse(JSON.stringify(t.userData));if(n.includeCustomExtensions&&s.gltfExtensions){void 0===e.extensions&&(e.extensions={});for(const t in s.gltfExtensions)e.extensions[t]=s.gltfExtensions[t],i[t]=!0;delete s.gltfExtensions}Object.keys(s).length>0&&(e.extras=s)}catch(e){console.warn(\\\\\\\"THREE.GLTFExporter: userData of '\\\\\\\"+t.name+\\\\\\\"' won't be serialized because of JSON.stringify error - \\\\\\\"+e.message)}}getUID(t){return this.uids.has(t)||this.uids.set(t,this.uid++),this.uids.get(t)}isNormalizedNormalAttribute(t){if(this.cache.attributesNormalized.has(t))return!1;const e=new Sb;for(let n=0,i=t.count;n5e-4)return!1;return!0}createNormalizedNormalAttribute(t){const e=this.cache;if(e.attributesNormalized.has(t))return e.attributesNormalized.get(t);const n=t.clone(),i=new Sb;for(let t=0,e=n.count;t4?i=t.array[s*t.itemSize+n]:0===n?i=t.getX(s):1===n?i=t.getY(s):2===n?i=t.getZ(s):3===n&&(i=t.getW(s)),e===DK?l.setFloat32(c,i,!0):e===BK?l.setUint32(c,i,!0):e===FK?l.setUint16(c,i,!0):e===IK&&l.setUint8(c,i),c+=o}const h={buffer:this.processBuffer(l.buffer),byteOffset:this.byteOffset,byteLength:a};void 0!==s&&(h.target=s),s===zK&&(h.byteStride=t.itemSize*o),this.byteOffset+=a,r.bufferViews.push(h);return{id:r.bufferViews.length-1,byteLength:0}}processBufferViewImage(t){const e=this,n=e.json;return n.bufferViews||(n.bufferViews=[]),new Promise((function(i){const s=new window.FileReader;s.readAsArrayBuffer(t),s.onloadend=function(){const t=QK(s.result),r={buffer:e.processBuffer(t),byteOffset:e.byteOffset,byteLength:t.byteLength};e.byteOffset+=t.byteLength,i(n.bufferViews.push(r)-1)}}))}processAccessor(t,e,n,i){const s=this.options,r=this.json;let o;if(t.array.constructor===Float32Array)o=DK;else if(t.array.constructor===Uint32Array)o=BK;else if(t.array.constructor===Uint16Array)o=FK;else{if(t.array.constructor!==Uint8Array)throw new Error(\\\\\\\"THREE.GLTFExporter: Unsupported bufferAttribute component type.\\\\\\\");o=IK}if(void 0===n&&(n=0),void 0===i&&(i=t.count),s.truncateDrawRange&&void 0!==e&&null===e.index){const s=n+i,r=e.drawRange.count===1/0?t.count:e.drawRange.start+e.drawRange.count;n=Math.max(n,e.drawRange.start),(i=Math.min(s,r)-n)<0&&(i=0)}if(0===i)return null;const a=function(t,e,n){const i={min:new Array(t.itemSize).fill(Number.POSITIVE_INFINITY),max:new Array(t.itemSize).fill(Number.NEGATIVE_INFINITY)};for(let s=e;s4?n=t.array[s*t.itemSize+e]:0===e?n=t.getX(s):1===e?n=t.getY(s):2===e?n=t.getZ(s):3===e&&(n=t.getW(s)),i.min[e]=Math.min(i.min[e],n),i.max[e]=Math.max(i.max[e],n)}return i}(t,n,i);let l;void 0!==e&&(l=t===e.index?kK:zK);const c=this.processBufferView(t,o,n,i,l),h={bufferView:c.id,byteOffset:c.byteOffset,componentType:o,count:i,max:a.max,min:a.min,type:{1:\\\\\\\"SCALAR\\\\\\\",2:\\\\\\\"VEC2\\\\\\\",3:\\\\\\\"VEC3\\\\\\\",4:\\\\\\\"VEC4\\\\\\\",16:\\\\\\\"MAT4\\\\\\\"}[t.itemSize]};return!0===t.normalized&&(h.normalized=!0),r.accessors||(r.accessors=[]),r.accessors.push(h)-1}processImage(t,e,n){const i=this,s=i.cache,r=i.json,o=i.options,a=i.pending;s.images.has(t)||s.images.set(t,{});const l=s.images.get(t),c=e===Dx?\\\\\\\"image/png\\\\\\\":\\\\\\\"image/jpeg\\\\\\\",h=c+\\\\\\\":flipY/\\\\\\\"+n.toString();if(void 0!==l[h])return l[h];r.images||(r.images=[]);const u={mimeType:c};if(o.embedImages){const s=tQ=tQ||document.createElement(\\\\\\\"canvas\\\\\\\");s.width=Math.min(t.width,o.maxTextureSize),s.height=Math.min(t.height,o.maxTextureSize);const r=s.getContext(\\\\\\\"2d\\\\\\\");if(!0===n&&(r.translate(0,s.height),r.scale(1,-1)),\\\\\\\"undefined\\\\\\\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\\\\\\\"undefined\\\\\\\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\\\\\\\"undefined\\\\\\\"!=typeof OffscreenCanvas&&t instanceof OffscreenCanvas||\\\\\\\"undefined\\\\\\\"!=typeof ImageBitmap&&t instanceof ImageBitmap)r.drawImage(t,0,0,s.width,s.height);else{e!==Dx&&e!==Fx&&console.error(\\\\\\\"GLTFExporter: Only RGB and RGBA formats are supported.\\\\\\\"),(t.width>o.maxTextureSize||t.height>o.maxTextureSize)&&console.warn(\\\\\\\"GLTFExporter: Image size is bigger than maxTextureSize\\\\\\\",t);const n=new Uint8ClampedArray(t.height*t.width*4);if(e===Dx)for(let e=0;e1&&(e.multiplyScalar(1/n),console.warn(\\\\\\\"THREE.GLTFExporter: Some emissive components exceed 1; emissive has been limited\\\\\\\")),n>0&&(i.emissiveFactor=e.toArray()),t.emissiveMap){const e={index:this.processTexture(t.emissiveMap)};this.applyTextureTransform(e,t.emissiveMap),i.emissiveTexture=e}}if(t.normalMap){const e={index:this.processTexture(t.normalMap)};t.normalScale&&1!==t.normalScale.x&&(e.scale=t.normalScale.x),this.applyTextureTransform(e,t.normalMap),i.normalTexture=e}if(t.aoMap){const e={index:this.processTexture(t.aoMap),texCoord:1};1!==t.aoMapIntensity&&(e.strength=t.aoMapIntensity),this.applyTextureTransform(e,t.aoMap),i.occlusionTexture=e}t.transparent?i.alphaMode=\\\\\\\"BLEND\\\\\\\":t.alphaTest>0&&(i.alphaMode=\\\\\\\"MASK\\\\\\\",i.alphaCutoff=t.alphaTest),2===t.side&&(i.doubleSided=!0),\\\\\\\"\\\\\\\"!==t.name&&(i.name=t.name),this.serializeUserData(t,i),this._invokeAll((function(e){e.writeMaterial&&e.writeMaterial(t,i)}));const r=n.materials.push(i)-1;return e.materials.set(t,r),r}processMesh(t){const e=this.cache,n=this.json,i=[t.geometry.uuid];if(Array.isArray(t.material))for(let e=0,n=t.material.length;e0){const n=[],i=[],s={};if(void 0!==t.morphTargetDictionary)for(const e in t.morphTargetDictionary)s[t.morphTargetDictionary[e]]=e;for(let o=0;o0&&(a.extras={},a.extras.targetNames=i)}const _=Array.isArray(t.material);if(_&&0===r.groups.length)return null;const m=_?t.material:[t.material],f=_?r.groups:[{materialIndex:0,start:void 0,count:void 0}];for(let t=0,n=f.length;t0&&(n.targets=h),null!==r.index){let i=this.getUID(r.index);void 0===f[t].start&&void 0===f[t].count||(i+=\\\\\\\":\\\\\\\"+f[t].start+\\\\\\\":\\\\\\\"+f[t].count),e.attributes.has(i)?n.indices=e.attributes.get(i):(n.indices=this.processAccessor(r.index,r,f[t].start,f[t].count),e.attributes.set(i,n.indices)),null===n.indices&&delete n.indices}const i=this.processMaterial(m[f[t].materialIndex]);null!==i&&(n.material=i),c.push(n)}a.primitives=c,n.meshes||(n.meshes=[]),this._invokeAll((function(e){e.writeMesh&&e.writeMesh(t,a)}));const g=n.meshes.push(a)-1;return e.meshes.set(s,g),g}processCamera(t){const e=this.json;e.cameras||(e.cameras=[]);const n=t.isOrthographicCamera,i={type:n?\\\\\\\"orthographic\\\\\\\":\\\\\\\"perspective\\\\\\\"};return n?i.orthographic={xmag:2*t.right,ymag:2*t.top,zfar:t.far<=0?.001:t.far,znear:t.near<0?0:t.near}:i.perspective={aspectRatio:t.aspect,yfov:pb.degToRad(t.fov),zfar:t.far<=0?.001:t.far,znear:t.near<0?0:t.near},\\\\\\\"\\\\\\\"!==t.name&&(i.name=t.type),e.cameras.push(i)-1}processAnimation(t,e){const n=this.json,i=this.nodeMap;n.animations||(n.animations=[]);const s=(t=CK.Utils.mergeMorphTargetTracks(t.clone(),e)).tracks,r=[],o=[];for(let t=0;t0){const e=[];for(let i=0,s=t.children.length;i0&&(s.children=e)}this._invokeAll((function(e){e.writeNode&&e.writeNode(t,s)}));const r=e.nodes.push(s)-1;return i.set(t,r),r}processScene(t){const e=this.json,n=this.options;e.scenes||(e.scenes=[],e.scene=0);const i={};\\\\\\\"\\\\\\\"!==t.name&&(i.name=t.name),e.scenes.push(i);const s=[];for(let e=0,i=t.children.length;e0&&(i.nodes=s),this.serializeUserData(t,i)}processObjects(t){const e=new zE;e.name=\\\\\\\"AuxScene\\\\\\\";for(let n=0;n0&&this.processObjects(n);for(let t=0;t0&&(r.range=t.distance)):t.isSpotLight&&(r.type=\\\\\\\"spot\\\\\\\",t.distance>0&&(r.range=t.distance),r.spot={},r.spot.innerConeAngle=(t.penumbra-1)*t.angle*-1,r.spot.outerConeAngle=t.angle),void 0!==t.decay&&2!==t.decay&&console.warn(\\\\\\\"THREE.GLTFExporter: Light decay may be lost. glTF is physically-based, and expects light.decay=2.\\\\\\\"),!t.target||t.target.parent===t&&0===t.target.position.x&&0===t.target.position.y&&-1===t.target.position.z||console.warn(\\\\\\\"THREE.GLTFExporter: Light direction may be lost. For best results, make light.target a child of the light with position 0,0,-1.\\\\\\\"),s[this.name]||(i.extensions=i.extensions||{},i.extensions[this.name]={lights:[]},s[this.name]=!0);const o=i.extensions[this.name].lights;o.push(r),e.extensions=e.extensions||{},e.extensions[this.name]={light:o.length-1}}}class iQ{constructor(t){this.writer=t,this.name=\\\\\\\"KHR_materials_unlit\\\\\\\"}writeMaterial(t,e){if(!t.isMeshBasicMaterial)return;const n=this.writer.extensionsUsed;e.extensions=e.extensions||{},e.extensions[this.name]={},n[this.name]=!0,e.pbrMetallicRoughness.metallicFactor=0,e.pbrMetallicRoughness.roughnessFactor=.9}}class sQ{constructor(t){this.writer=t,this.name=\\\\\\\"KHR_materials_pbrSpecularGlossiness\\\\\\\"}writeMaterial(t,e){if(!t.isGLTFSpecularGlossinessMaterial)return;const n=this.writer,i=n.extensionsUsed,s={};e.pbrMetallicRoughness.baseColorFactor&&(s.diffuseFactor=e.pbrMetallicRoughness.baseColorFactor);const r=[1,1,1];if(t.specular.toArray(r,0),s.specularFactor=r,s.glossinessFactor=t.glossiness,e.pbrMetallicRoughness.baseColorTexture&&(s.diffuseTexture=e.pbrMetallicRoughness.baseColorTexture),t.specularMap){const e={index:n.processTexture(t.specularMap)};n.applyTextureTransform(e,t.specularMap),s.specularGlossinessTexture=e}e.extensions=e.extensions||{},e.extensions[this.name]=s,i[this.name]=!0}}class rQ{constructor(t){this.writer=t,this.name=\\\\\\\"KHR_materials_transmission\\\\\\\"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||0===t.transmission)return;const n=this.writer,i=n.extensionsUsed,s={};if(s.transmissionFactor=t.transmission,t.transmissionMap){const e={index:n.processTexture(t.transmissionMap)};n.applyTextureTransform(e,t.transmissionMap),s.transmissionTexture=e}e.extensions=e.extensions||{},e.extensions[this.name]=s,i[this.name]=!0}}class oQ{constructor(t){this.writer=t,this.name=\\\\\\\"KHR_materials_volume\\\\\\\"}writeMaterial(t,e){if(!t.isMeshPhysicalMaterial||0===t.thickness)return;const n=this.writer,i=n.extensionsUsed,s={};if(s.thicknessFactor=t.thickness,t.thicknessMap){const e={index:n.processTexture(t.thicknessMap)};n.applyTextureTransform(e,t.thicknessMap),s.thicknessTexture=e}s.attenuationDistance=t.attenuationDistance,s.attenuationColor=t.attenuationTint.toArray(),e.extensions=e.extensions||{},e.extensions[this.name]=s,i[this.name]=!0}}function aQ(t,e){const n=document.createElement(\\\\\\\"a\\\\\\\");n.style.display=\\\\\\\"none\\\\\\\",document.body.appendChild(n),n.href=URL.createObjectURL(t),n.download=e,n.click(),setTimeout((()=>{document.body.removeChild(n)}),10)}CK.Utils={insertKeyframe:function(t,e){const n=.001,i=t.getValueSize(),s=new t.TimeBufferType(t.times.length+1),r=new t.ValueBufferType(t.values.length+i),o=t.createInterpolant(new t.ValueBufferType(i));let a;if(0===t.times.length){s[0]=e;for(let t=0;tt.times[t.times.length-1]){if(Math.abs(t.times[t.times.length-1]-e)e){s.set(t.times.slice(0,l+1),0),s[l+1]=e,s.set(t.times.slice(l+1),l+2),r.set(t.values.slice(0,(l+1)*i),0),r.set(o.evaluate(e),(l+1)*i),r.set(t.values.slice((l+1)*i),(l+2)*i),a=l+1;break}}return t.times=s,t.values=r,a},mergeMorphTargetTracks:function(t,e){const n=[],i={},s=t.tracks;for(let t=0;t{cQ.PARAM_CALLBACK_export(t)}})}};class cQ extends uV{constructor(){super(...arguments),this.paramsConfig=lQ}static type(){return\\\\\\\"exporter\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.NEVER)}async cook(t){this.setCoreGroup(t[0])}static PARAM_CALLBACK_export(t){t._paramCallbackExport()}async _paramCallbackExport(){const t=(await this.compute()).coreContent();if(!t)return void console.error(\\\\\\\"input invalid\\\\\\\");const e=new WeakMap,n=t.objects();for(let t of n)e.set(t,t.parent);const i=new vs;for(let t of n)i.add(t);(new CK).parse(i,(t=>{if(t instanceof ArrayBuffer)i=\\\\\\\"scene.glb\\\\\\\",aQ(new Blob([t],{type:\\\\\\\"application/octet-stream\\\\\\\"}),i);else{!function(t,e){aQ(new Blob([t],{type:\\\\\\\"text/plain\\\\\\\"}),e)}(JSON.stringify(t,null,2),\\\\\\\"scene.gltf\\\\\\\")}var i;for(let t of n){const n=e.get(t);n&&n.add(t)}}),{embedImages:!0})}}const hQ=new class extends ua{constructor(){super(...arguments),this.makeFacesUnique=ha.BOOLEAN(0),this.addFaceCenterAttribute=ha.BOOLEAN(0,{visibleIf:{makeFacesUnique:1}}),this.addFaceId=ha.BOOLEAN(0,{visibleIf:{makeFacesUnique:1}}),this.transform=ha.BOOLEAN(0,{visibleIf:{makeFacesUnique:1}}),this.scale=ha.FLOAT(1,{visibleIf:{makeFacesUnique:1,transform:1}})}};class uQ extends uV{constructor(){super(...arguments),this.paramsConfig=hQ}static type(){return\\\\\\\"face\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}cook(t){const e=t[0];this.pv.makeFacesUnique&&(this._makeFacesUnique(e),this.pv.addFaceCenterAttribute&&this._addFaceCenterAttribute(e),this.pv.addFaceId&&this._addFaceId(e),this.pv.transform&&this._transform_faces(e)),this.setCoreGroup(e)}_makeFacesUnique(t){var e;for(let n of t.objects())if(n.isMesh){const t=n.geometry,i=f.chunk((null===(e=t.index)||void 0===e?void 0:e.array)||[],3),s=3*i.length;for(let e of Object.keys(t.attributes)){const n=t.attributes[e],r=n.itemSize,o=new Float32Array(s*r);let a=0;i.forEach((t=>{t.forEach((t=>{for(let e=0;e{const a=t.object(),l=t.coreGeometry();if(a.isMesh&&l){i=l.faces(),l.hasAttrib(e)||l.addNumericAttrib(e,3,-1);for(let t=0;t{const n=t.object(),i=t.coreGeometry();if(n.isMesh&&i){const t=i.faces();i.hasAttrib(e)||i.addNumericAttrib(e,1,-1);for(let n=0;n{const c=t.object(),h=t.coreGeometry();if(c.isMesh&&h){r=h.faces(),h.hasAttrib(e)||h.addNumericAttrib(e,3,-1);for(let t=0;t{t(e)})).catch((t=>{e(t)}))}_load(){return new Promise((async(t,e)=>{const n=await this._urlToLoad(),i=this.extension();if(i==dQ.JSON&&this._options.format==dQ.AUTO)mQ.increment_in_progress_loads_count(),await mQ.wait_for_max_concurrent_loads_queue_freed(),fetch(n).then((async e=>{const n=await e.json();new PJ(this.loadingManager).parse(n,(e=>{mQ.decrement_in_progress_loads_count(),t(this.on_load_success(e.children[0]))}))})).catch((t=>{mQ.decrement_in_progress_loads_count(),e(t)}));else{const s=await this._loaderForFormat();if(s)mQ.increment_in_progress_loads_count(),await mQ.wait_for_max_concurrent_loads_queue_freed(),s.load(n,(e=>{this.on_load_success(e).then((e=>{mQ.decrement_in_progress_loads_count(),t(e)}))}),void 0,(t=>{li.warn(\\\\\\\"error loading\\\\\\\",n,t),mQ.decrement_in_progress_loads_count(),e(t)}));else{e(`format not supported (${i})`)}}}))}async on_load_success(t){const e=this.extension();if(e==dQ.JSON)return[t];const n=t;if(n.isObject3D)switch(e){case _Q.PDB:return this.on_load_succes_pdb(t);case _Q.OBJ:default:return[n]}const i=t;if(i.isBufferGeometry)switch(e){case _Q.DRC:return this.on_load_succes_drc(i);default:return[new B.a(i)]}const s=t;if(null!=s.scene)switch(e){case _Q.GLTF:case _Q.GLB:return this.on_load_succes_gltf(s);default:return[n]}const r=t;if(r.geometryAtoms||r.geometryBonds)switch(e){case _Q.PDB:return this.on_load_succes_pdb(r);default:return[]}return[]}on_load_succes_drc(t){return[new B.a(t,mQ._default_mat_mesh)]}on_load_succes_gltf(t){const e=t.scene;return e.animations=t.animations,[e]}on_load_succes_pdb(t){return[new ys.a(t.geometryAtoms,mQ._default_mat_point),new Ms.a(t.geometryBonds,mQ._default_mat_line)]}static moduleNamesFromFormat(t,e){switch(t){case dQ.AUTO:return this.moduleNamesFromExt(e);case dQ.DRC:return[Hn.DRACOLoader];case dQ.FBX:return[Hn.FBXLoader];case dQ.JSON:return[];case dQ.GLTF:return[Hn.GLTFLoader];case dQ.GLTF_WITH_DRACO:return[Hn.GLTFLoader,Hn.DRACOLoader];case dQ.OBJ:return[Hn.OBJLoader];case dQ.PDB:return[Hn.PDBLoader];case dQ.PLY:return[Hn.PLYLoader];case dQ.STL:return[Hn.STLLoader]}os.unreachable(t)}static moduleNamesFromExt(t){switch(t){case _Q.DRC:return[Hn.DRACOLoader];case _Q.FBX:return[Hn.FBXLoader];case _Q.GLTF:return[Hn.GLTFLoader];case _Q.GLB:return[Hn.GLTFLoader,Hn.DRACOLoader];case _Q.OBJ:return[Hn.OBJLoader];case _Q.PDB:return[Hn.PDBLoader];case _Q.PLY:return[Hn.PLYLoader];case _Q.STL:return[Hn.STLLoader]}}async _loaderForFormat(){const t=this._options.format;switch(t){case dQ.AUTO:return this._loaderForExt();case dQ.DRC:return this.loader_for_drc(this._node);case dQ.FBX:return this.loader_for_fbx();case dQ.JSON:return;case dQ.GLTF:return this.loader_for_gltf();case dQ.GLTF_WITH_DRACO:return this.loader_for_glb(this._node);case dQ.OBJ:return this.loader_for_obj();case dQ.PDB:return this.loader_for_pdb();case dQ.PLY:return this.loader_for_ply();case dQ.STL:return this.loader_for_stl()}os.unreachable(t)}async _loaderForExt(){switch(this.extension().toLowerCase()){case _Q.DRC:return this.loader_for_drc(this._node);case _Q.FBX:return this.loader_for_fbx();case _Q.GLTF:return this.loader_for_gltf();case _Q.GLB:return this.loader_for_glb(this._node);case _Q.OBJ:return this.loader_for_obj();case _Q.PDB:return this.loader_for_pdb();case _Q.PLY:return this.loader_for_ply();case _Q.STL:return this.loader_for_stl()}}loader_for_fbx(){const t=li.modulesRegister.module(Hn.FBXLoader);if(t)return new t(this.loadingManager)}loader_for_gltf(){const t=li.modulesRegister.module(Hn.GLTFLoader);if(t)return new t(this.loadingManager)}static async loader_for_drc(t){const e=li.modulesRegister.module(Hn.DRACOLoader);if(e){const n=new e(this.loadingManager),i=li.libs.root(),s=li.libs.DRACOPath();if(i||s){const e=`${i||\\\\\\\"\\\\\\\"}${s||\\\\\\\"\\\\\\\"}/`;if(t){const n=[\\\\\\\"draco_decoder.js\\\\\\\",\\\\\\\"draco_decoder.wasm\\\\\\\",\\\\\\\"draco_wasm_wrapper.js\\\\\\\"];await this._loadMultipleBlobGlobal({files:n.map((t=>({storedUrl:`${s}/${t}`,fullUrl:`${e}${t}`}))),node:t,error:\\\\\\\"failed to load draco libraries. Make sure to install them to load .glb files\\\\\\\"})}n.setDecoderPath(e)}else n.setDecoderPath(void 0);return n.setDecoderConfig({type:\\\\\\\"js\\\\\\\"}),n}}loader_for_drc(t){return mQ.loader_for_drc(t)}static async loader_for_glb(t){const e=li.modulesRegister.module(Hn.GLTFLoader),n=li.modulesRegister.module(Hn.DRACOLoader);if(e&&n){this.gltf_loader=this.gltf_loader||new e(this.loadingManager),this.draco_loader=this.draco_loader||new n(this.loadingManager);const i=li.libs.root(),s=li.libs.DRACOGLTFPath();if(i||s){const e=`${i||\\\\\\\"\\\\\\\"}${s||\\\\\\\"\\\\\\\"}/`;if(t){const n=[\\\\\\\"draco_decoder.js\\\\\\\",\\\\\\\"draco_decoder.wasm\\\\\\\",\\\\\\\"draco_wasm_wrapper.js\\\\\\\"];await this._loadMultipleBlobGlobal({files:n.map((t=>({storedUrl:`${s}/${t}`,fullUrl:`${e}${t}`}))),node:t,error:\\\\\\\"failed to load draco libraries. Make sure to install them to load .glb files\\\\\\\"})}this.draco_loader.setDecoderPath(e)}else this.draco_loader.setDecoderPath(void 0);return this.gltf_loader.setDRACOLoader(this.draco_loader),this.gltf_loader}}loader_for_glb(t){return mQ.loader_for_glb(t)}loader_for_obj(){const t=li.modulesRegister.module(Hn.OBJLoader);if(t)return new t(this.loadingManager)}loader_for_pdb(){const t=li.modulesRegister.module(Hn.PDBLoader);if(t)return new t(this.loadingManager)}loader_for_ply(){const t=li.modulesRegister.module(Hn.PLYLoader);if(t)return new t(this.loadingManager)}loader_for_stl(){const t=li.modulesRegister.module(Hn.STLLoader);if(t)return new t(this.loadingManager)}static setMaxConcurrentLoadsCount(t){this._maxConcurrentLoadsCountMethod=t}static _init_max_concurrent_loads_count(){return this._maxConcurrentLoadsCountMethod?this._maxConcurrentLoadsCountMethod():ng.isChrome()?4:1}static _init_concurrent_loads_delay(){return ng.isChrome()?1:10}static increment_in_progress_loads_count(){this.in_progress_loads_count++}static decrement_in_progress_loads_count(){this.in_progress_loads_count--;const t=this._queue.pop();if(t){const e=this.CONCURRENT_LOADS_DELAY;setTimeout((()=>{t()}),e)}}static async wait_for_max_concurrent_loads_queue_freed(){return this.in_progress_loads_count<=this.MAX_CONCURRENT_LOADS_COUNT?void 0:new Promise((t=>{this._queue.push(t)}))}}mQ._default_mat_mesh=new Ts.a,mQ._default_mat_point=new bs.a,mQ._default_mat_line=new As.a,mQ.MAX_CONCURRENT_LOADS_COUNT=mQ._init_max_concurrent_loads_count(),mQ.CONCURRENT_LOADS_DELAY=mQ._init_concurrent_loads_delay(),mQ.in_progress_loads_count=0,mQ._queue=[];class fQ extends aV{static type(){return\\\\\\\"file\\\\\\\"}static loader(t,e,n){return new mQ({url:t.url,format:t.format},e,n)}cook(t,e){const n=fQ.loader(e,this.scene(),this._node);return new Promise((t=>{n.load((e=>{const n=this._onLoad(e);t(this.createCoreGroupFromObjects(n))}),(t=>{this._onError(t,e)}))}))}clearLoadedBlob(t){fQ.loader(t,this.scene(),this._node).deregisterUrl()}_onLoad(t){t=t.flat();for(let e of t)e.traverse((t=>{this._ensureGeometryHasIndex(t),t.matrixAutoUpdate=!1}));return t}_onError(t,e){var n;null===(n=this.states)||void 0===n||n.error.set(`could not load geometry from ${e.url} (${t})`)}_ensureGeometryHasIndex(t){const e=t.geometry;e&&this.createIndexIfNone(e)}}fQ.DEFAULT_PARAMS={url:`${qg}/models/wolf.obj`,format:dQ.AUTO};const gQ=fQ.DEFAULT_PARAMS;const vQ=new class extends ua{constructor(){super(...arguments),this.url=ha.STRING(gQ.url,{fileBrowse:{type:[Rr.GEOMETRY]}}),this.format=ha.STRING(gQ.format,{menuString:{entries:pQ.map((t=>({name:t,value:t})))}}),this.reload=ha.BUTTON(null,{callback:t=>{yQ.PARAM_CALLBACK_reload(t)}})}};class yQ extends uV{constructor(){super(...arguments),this.paramsConfig=vQ}static type(){return\\\\\\\"file\\\\\\\"}async requiredModules(){for(let t of[this.p.url,this.p.format])t.isDirty()&&await t.compute();const t=$g.extension(this.pv.url||\\\\\\\"\\\\\\\"),e=this.pv.format;return mQ.moduleNamesFromFormat(e,t)}initializeNode(){this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.url],(()=>{const t=this.p.url.rawInput();if(t){const e=t.split(\\\\\\\"/\\\\\\\");return e[e.length-1]}return\\\\\\\"\\\\\\\"}))}))}))}operation(){return this._operation=this._operation||new fQ(this.scene(),this.states,this)}async cook(t){const e=await this.operation().cook(t,this.pv);this.setCoreGroup(e)}static PARAM_CALLBACK_reload(t){t._paramCallbackReload()}_paramCallbackReload(){this.operation().clearLoadedBlob(this.pv),this.p.url.setDirty()}}const xQ=new class extends ua{constructor(){super(...arguments),this.url=ha.STRING(`${qg}/models/\\\\`@name\\\\`.obj`,{fileBrowse:{type:[Rr.GEOMETRY]},expression:{forEntities:!0}}),this.format=ha.STRING(dQ.AUTO,{menuString:{entries:pQ.map((t=>({name:t,value:t})))}}),this.reload=ha.BUTTON(null,{callback:t=>{bQ.PARAM_CALLBACK_reload(t)}})}};class bQ extends uV{constructor(){super(...arguments),this.paramsConfig=xQ,this._instancer=new LZ,this._instanceMatrix=new A.a}static type(){return\\\\\\\"fileMulti\\\\\\\"}async requiredModules(){const t=$g.extension(this.p.url.rawInput()||\\\\\\\"\\\\\\\"),e=this.pv.format;return mQ.moduleNamesFromFormat(e,t)}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.NEVER),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.url],(()=>this.p.url.rawInput()))}))}))}async cook(t){const e=t[0],n=e.points(),i=[],s=new Map,r=new Map,o=new Map,a=this.p.url;if(a.hasExpression()&&a.expressionController){const t=new Set;await a.expressionController.computeExpressionForPoints(n,((e,n)=>{const i=e.index();s.has(i)?this.states.error.set(\\\\\\\"input points have duplicate indices. Make sure to merge inputs together.\\\\\\\"):(s.set(i,n),t.add(n),bQ._incrementUrlUsageCount(n,o))})),t.forEach((t=>{i.push(t)}))}else{const t=this.pv.url;i.push(t),bQ._incrementUrlUsageCount(t,o)}const l=[],c=i.map((t=>this._loadFromUrlPromises(t,r)));await Promise.all(c),this._instancer.setCoreGroup(e);for(let t of n){const e=t.index(),n=s.get(e)||this.pv.url;this._instancer.matrixFromPoint(t,this._instanceMatrix);const i=o.get(n)||1;let a=r.get(n);a&&(i>1&&(a=a.clone()),a.applyMatrix4(this._instanceMatrix),l.push(a))}this.setObjects(l)}static _incrementUrlUsageCount(t,e){const n=e.get(t);null!=n?e.set(t,n+1):e.set(t,1)}async _loadFromUrlPromises(t,e){const n=await this._loadObject(t),i=new Fn.a;i.matrixAutoUpdate=!1,i.name=t;for(let t of n)i.add(t);e.set(t,i)}_loadObject(t){const e=new mQ({url:t,format:this.pv.format},this.scene(),this);return new Promise((n=>{e.load((t=>{const e=this._onLoad(t);n(e)}),(e=>{this._onError(e,t)}))}))}_onLoad(t){t=t.flat();for(let e of t)e.traverse((t=>{this._ensureGeometryHasIndex(t),t.matrixAutoUpdate=!1}));return t}_onError(t,e){var n;null===(n=this.states)||void 0===n||n.error.set(`could not load geometry from ${e} (${t})`)}_ensureGeometryHasIndex(t){const e=t.geometry;e&&pr.createIndexIfNone(e)}static PARAM_CALLBACK_reload(t){t._paramCallbackReload()}_paramCallbackReload(){this.p.url.setDirty()}}const wQ=new class extends ua{constructor(){super(...arguments),this.dist=ha.FLOAT(.1,{range:[0,1],rangeLocked:[!0,!1]})}};class TQ extends uV{constructor(){super(...arguments),this.paramsConfig=wQ}static type(){return\\\\\\\"fuse\\\\\\\"}static displayedInputNames(){return[\\\\\\\"points to fuse together\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}cook(t){const e=t[0],n=[];let i;for(let t of e.coreObjects())i=this._fuse_core_object(t),i&&n.push(i);this.setObjects(n)}_fuse_core_object(t){const e=t.object();if(!e)return;const n=t.points(),i=this.pv.dist,s={};for(let t of n){const e=t.position(),n=new p.a(Math.round(e.x/i),Math.round(e.y/i),Math.round(e.z/i)).toArray().join(\\\\\\\"-\\\\\\\");s[n]=s[n]||[],s[n].push(t)}const r=[];if(Object.keys(s).forEach((t=>{r.push(s[t][0])})),e.geometry.dispose(),r.length>0){const t=fr.geometryFromPoints(r,Os(e.constructor));return t&&(e.geometry=t),e}}}class AQ{constructor(t,e,n){this._param_size=t,this._param_hexagon_radius=e,this._param_points_only=n}process(){const t=this._param_hexagon_radius,e=.5*t,n=t,i=Math.cos(Math.PI/6)*this._param_hexagon_radius,s=Math.floor(this._param_size.x/n),r=Math.floor(this._param_size.y/i);let o=[],a=[];for(let t=0;t=1&&(0==r||r==s-1?0==r?a.push([r+1+(t-1)*s,r+(t-1)*s,r+t*s]):a.push([r+t*s,r+(t-1)*s,r-1+t*s]):(a.push([r+t*s,r+(t-1)*s,r-1+t*s]),a.push([r+t*s,r+1+(t-1)*s,r+(t-1)*s])));const l=new S.a;return l.setAttribute(\\\\\\\"position\\\\\\\",new C.a(new Float32Array(o.flat()),3)),this._param_points_only||(l.setIndex(a.flat()),l.computeVertexNormals()),l}}const MQ=new p.a(0,1,0);const EQ=new class extends ua{constructor(){super(...arguments),this.size=ha.VECTOR2([1,1]),this.hexagonRadius=ha.FLOAT(.1,{range:[.001,1],rangeLocked:[!1,!1]}),this.direction=ha.VECTOR3([0,1,0]),this.pointsOnly=ha.BOOLEAN(0)}};class SQ extends uV{constructor(){super(...arguments),this.paramsConfig=EQ,this._coreTransform=new bU}static type(){return\\\\\\\"hexagons\\\\\\\"}cook(){if(this.pv.hexagonRadius>0){const t=new AQ(this.pv.size,this.pv.hexagonRadius,this.pv.pointsOnly).process();this._coreTransform.rotateGeometry(t,MQ,this.pv.direction),this.pv.pointsOnly?this.setGeometry(t,Ns.POINTS):this.setGeometry(t)}else this.setObjects([])}}var CQ;!function(t){t.ADD_PARENT=\\\\\\\"add_parent\\\\\\\",t.REMOVE_PARENT=\\\\\\\"remove_parent\\\\\\\",t.ADD_CHILD=\\\\\\\"add_child\\\\\\\"}(CQ||(CQ={}));const NQ=[CQ.ADD_PARENT,CQ.REMOVE_PARENT,CQ.ADD_CHILD];class LQ extends aV{static type(){return\\\\\\\"hierarchy\\\\\\\"}cook(t,e){const n=t[0],i=NQ[e.mode];switch(i){case CQ.ADD_PARENT:{const t=this._add_parent_to_core_group(n,e);return this.createCoreGroupFromObjects(t)}case CQ.REMOVE_PARENT:{const t=this._remove_parent_from_core_group(n,e);return this.createCoreGroupFromObjects(t)}case CQ.ADD_CHILD:{const i=this._add_child_to_core_group(n,t[1],e);return this.createCoreGroupFromObjects(i)}}os.unreachable(i)}_add_parent_to_core_group(t,e){if(0==e.levels)return t.objects();return[this._add_parent_to_object(t.objects(),e)]}_add_parent_to_object(t,e){let n=new Fn.a;if(n.matrixAutoUpdate=!1,n.add(...t),e.levels>0)for(let t=0;t({name:t,value:e})))}}),this.levels=ha.INTEGER(PQ.levels,{range:[0,5],visibleIf:[{mode:NQ.indexOf(CQ.ADD_PARENT)},{mode:NQ.indexOf(CQ.REMOVE_PARENT)}]}),this.objectMask=ha.STRING(\\\\\\\"\\\\\\\",{visibleIf:{mode:NQ.indexOf(CQ.ADD_CHILD)}}),this.debugObjectMask=ha.BOOLEAN(0,{visibleIf:{mode:NQ.indexOf(CQ.ADD_CHILD)}})}};class IQ extends uV{constructor(){super(...arguments),this.paramsConfig=RQ}static type(){return\\\\\\\"hierarchy\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to add or remove parents to/from\\\\\\\",\\\\\\\"objects to use as parent or children (optional)\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1,2),this.io.inputs.initInputsClonedState(LQ.INPUT_CLONED_STATE),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.mode,this.p.levels,this.p.objectMask],(()=>{const t=NQ[this.pv.mode];return OQ.includes(t)?`${t} ${this.pv.levels}`:`${t} (with mask: ${this.pv.objectMask})`}))}))}))}cook(t){this._operation=this._operation||new LQ(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const FQ=new class extends ua{constructor(){super(...arguments),this.texture=ha.OPERATOR_PATH(vi.UV,{nodeSelection:{context:ts.COP}}),this.mult=ha.FLOAT(1)}};class DQ extends uV{constructor(){super(...arguments),this.paramsConfig=FQ}static type(){return\\\\\\\"heightMap\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}async cook(t){const e=t[0],n=this.p.texture.found_node();if(n){if(n.context()==ts.COP){const t=n,i=(await t.compute()).texture();for(let t of e.coreObjects())this._set_position_from_data_texture(t,i)}else this.states.error.set(\\\\\\\"found node is not a texture\\\\\\\")}e.computeVertexNormals(),this.setCoreGroup(e)}_set_position_from_data_texture(t,e){var n;const i=this._data_from_texture(e);if(!i)return;const{data:s,resx:r,resy:o}=i,a=s.length/(r*o),l=null===(n=t.coreGeometry())||void 0===n?void 0:n.geometry();if(!l)return;const c=l.getAttribute(\\\\\\\"position\\\\\\\").array,h=l.getAttribute(\\\\\\\"uv\\\\\\\"),u=l.getAttribute(\\\\\\\"normal\\\\\\\");if(null==h)return void this.states.error.set(\\\\\\\"uvs are required\\\\\\\");if(null==u)return void this.states.error.set(\\\\\\\"normals are required\\\\\\\");const d=h.array,p=u.array,_=c.length/3;let m,f,g,v,y,x,b,w=0;for(let t=0;t<_;t++)m=2*t,f=d[m],g=d[m+1],v=Math.floor((r-1)*f),y=Math.floor((o-1)*(1-g)),x=y*r+v,b=s[a*x],w=3*t,c[w+0]+=p[w+0]*b*this.pv.mult,c[w+1]+=p[w+1]*b*this.pv.mult,c[w+2]+=p[w+2]*b*this.pv.mult}_data_from_texture(t){if(t.image)return t.image.data?this._data_from_data_texture(t):this._data_from_default_texture(t)}_data_from_default_texture(t){const e=t.image.width,n=t.image.height;return{data:Bf.data_from_image(t.image).data,resx:e,resy:n}}_data_from_data_texture(t){return{data:t.image.data,resx:t.image.width,resy:t.image.height}}}function BQ(t){return Math.atan2(-t.y,Math.sqrt(t.x*t.x+t.z*t.z))}class zQ extends S.a{constructor(t,e,n,i,s){super(),this.type=\\\\\\\"PolyhedronBufferGeometry\\\\\\\",this.parameters={vertices:t,indices:e,radius:n,detail:i},n=n||1,i=i||0;const r=[],o=[],a=new Map;function l(t,e,n,i){const s=i+1,r=[];for(let i=0;i<=s;i++){r[i]=[];const o=t.clone().lerp(n,i/s),a=e.clone().lerp(n,i/s),l=s-i;for(let t=0;t<=l;t++)r[i][t]=0===t&&i===s?o:o.clone().lerp(a,t/l)}for(let t=0;tLZ.remapName(t)));let o=!1;for(let t of r)LZ.transformAttributeNames.includes(t)&&(o=!0);const a=s.points();if(o){LZ.updateTransformInstanceAttributes(a,s,i);for(let t of LZ.transformAttributeNames){const e=i.getAttribute(t);e&&(e.needsUpdate=!0)}}}}JQ.DEFAULT_PARAMS={mode:$Q.indexOf(YQ.GEO),geoAttributes:\\\\\\\"P N\\\\\\\",pointAttributes:\\\\\\\"P\\\\\\\"},JQ.INPUT_CLONED_STATE=[Qi.FROM_NODE,Qi.NEVER];const ZQ=JQ.DEFAULT_PARAMS;const KQ=new class extends ua{constructor(){super(...arguments),this.mode=ha.INTEGER(ZQ.mode,{menu:{entries:$Q.map(((t,e)=>({value:e,name:t})))}}),this.geoAttributes=ha.STRING(ZQ.geoAttributes,{visibleIf:{mode:$Q.indexOf(YQ.GEO)}}),this.pointAttributes=ha.STRING(ZQ.pointAttributes,{visibleIf:{mode:$Q.indexOf(YQ.POINTS)}})}};class QQ extends uV{constructor(){super(...arguments),this.paramsConfig=KQ}static type(){return\\\\\\\"instanceUpdate\\\\\\\"}static displayedInputNames(){return[\\\\\\\"instance to update\\\\\\\",\\\\\\\"geometry to copy attributes from\\\\\\\"]}initializeNode(){super.initializeNode(),this.io.inputs.setCount(2),this.io.inputs.initInputsClonedState(JQ.INPUT_CLONED_STATE)}setMode(t){this.p.mode.set($Q.indexOf(t))}async cook(t){this._operation=this._operation||new JQ(this.scene(),this.states);const e=await this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const t0=new class extends ua{constructor(){super(...arguments),this.useMax=ha.BOOLEAN(0),this.max=ha.INTEGER(1,{range:[0,100],rangeLocked:[!0,!1],visibleIf:{useMax:1}})}};class e0 extends uV{constructor(){super(...arguments),this.paramsConfig=t0}static type(){return\\\\\\\"instancesCount\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}async cook(t){const e=t[0],n=e.objectsWithGeo();for(let t of n){const e=t.geometry;e&&e instanceof lJ&&(this.pv.useMax?e.instanceCount=this.pv.max:e.instanceCount=1/0)}this.setCoreGroup(e)}}class n0 extends aV{static type(){return\\\\\\\"jitter\\\\\\\"}cook(t,e){const n=t[0],i=n.points();let s;for(let t=0;t{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.layer])}))}))}cook(t){const e=t[0];for(let t of e.objects())t.layers.set(this.pv.layer);this.setCoreGroup(e)}}const l0=new class extends ua{constructor(){super(...arguments),this.length=ha.FLOAT(1,{range:[0,10]}),this.pointsCount=ha.INTEGER(1,{range:[2,100],rangeLocked:[!0,!1]}),this.origin=ha.VECTOR3([0,0,0]),this.direction=ha.VECTOR3([0,1,0])}};class c0 extends uV{constructor(){super(...arguments),this.paramsConfig=l0}static type(){return\\\\\\\"line\\\\\\\"}initializeNode(){}cook(){const t=Math.max(2,this.pv.pointsCount),e=new Array(3*t),n=new Array(t),i=this.pv.direction.clone().normalize().multiplyScalar(this.pv.length);for(let s=0;s0&&(n[2*(s-1)]=s-1,n[2*(s-1)+1]=s)}const s=new S.a;s.setAttribute(\\\\\\\"position\\\\\\\",new C.c(e,3)),s.setIndex(n),this.setGeometry(s,Ns.LINE_SEGMENTS)}}const h0=new class extends ua{constructor(){super(...arguments),this.distance0=ha.FLOAT(1),this.distance1=ha.FLOAT(2),this.autoUpdate=ha.BOOLEAN(1),this.update=ha.BUTTON(null,{callback:t=>{u0.PARAM_CALLBACK_update(t)}}),this.camera=ha.OPERATOR_PATH(\\\\\\\"/perspective_camera1\\\\\\\",{visibleIf:{autoUpdate:0},dependentOnFoundNode:!1})}};class u0 extends uV{constructor(){super(...arguments),this.paramsConfig=h0,this._lod=this._create_LOD()}static type(){return\\\\\\\"lod\\\\\\\"}static displayedInputNames(){return[\\\\\\\"high res\\\\\\\",\\\\\\\"mid res\\\\\\\",\\\\\\\"low res\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1,3),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}_create_LOD(){const t=new Cs;return t.matrixAutoUpdate=!1,t}cook(t){this._clear_lod(),this._add_level(t[0],0),this._add_level(t[1],this.pv.distance0),this._add_level(t[2],this.pv.distance1),this._lod.autoUpdate=this.pv.autoUpdate,this.setObject(this._lod)}_add_level(t,e){if(t){const n=t.objects();let i;for(let t=0;t{this._apply_material(t,n,e)}));else for(let i of t.objectsFromGroup(e.group))this._apply_material(i,n,e);return t}null===(i=this.states)||void 0===i||i.error.set(`material invalid. (error: '${r.states.error.message()}')`)}else null===(s=this.states)||void 0===s||s.error.set(\\\\\\\"no material node found\\\\\\\")}_swap_textures(t,e){if(e.swapCurrentTex){this._materials_by_uuid.clear();for(let n of t.objectsFromGroup(e.group))if(e.applyToChildren)n.traverse((t=>{const e=n.material;this._materials_by_uuid.set(e.uuid,e)}));else{const t=n.material;this._materials_by_uuid.set(t.uuid,t)}this._materials_by_uuid.forEach(((t,n)=>{this._swap_texture(t,e)}))}}_apply_material(t,e,n){if(n.group&&!br.isInGroup(n.group,t))return;const i=n.cloneMat?yr.clone(e):e;if(e instanceof F&&i instanceof F)for(let t in e.uniforms)i.uniforms[t]=e.uniforms[t];const s=t;this._old_mat_by_old_new_id.set(i.uuid,s.material),s.material=i,yr.apply_render_hook(t,i),yr.applyCustomMaterials(t,i)}_swap_texture(t,e){if(\\\\\\\"\\\\\\\"==e.texSrc0||\\\\\\\"\\\\\\\"==e.texDest0)return;let n=this._old_mat_by_old_new_id.get(t.uuid);n=n||t;const i=n[e.texSrc0];if(i){t[e.texDest0]=i;const n=t.uniforms;if(n){n[e.texDest0]&&(n[e.texDest0]={value:i})}}}}d0.DEFAULT_PARAMS={group:\\\\\\\"\\\\\\\",assignMat:!0,material:new yi(\\\\\\\"\\\\\\\"),applyToChildren:!0,cloneMat:!1,shareUniforms:!0,swapCurrentTex:!1,texSrc0:\\\\\\\"emissiveMap\\\\\\\",texDest0:\\\\\\\"map\\\\\\\"},d0.INPUT_CLONED_STATE=Qi.FROM_NODE;const p0=d0.DEFAULT_PARAMS;const _0=new class extends ua{constructor(){super(...arguments),this.group=ha.STRING(p0.group),this.assignMat=ha.BOOLEAN(p0.assignMat),this.material=ha.NODE_PATH(p0.material.path(),{nodeSelection:{context:ts.MAT},dependentOnFoundNode:!1,visibleIf:{assignMat:1}}),this.applyToChildren=ha.BOOLEAN(p0.applyToChildren,{visibleIf:{assignMat:1}}),this.cloneMat=ha.BOOLEAN(p0.cloneMat,{visibleIf:{assignMat:1}}),this.shareUniforms=ha.BOOLEAN(p0.shareUniforms,{visibleIf:{assignMat:1,cloneMat:1}}),this.swapCurrentTex=ha.BOOLEAN(p0.swapCurrentTex),this.texSrc0=ha.STRING(p0.texSrc0,{visibleIf:{swapCurrentTex:1}}),this.texDest0=ha.STRING(p0.texDest0,{visibleIf:{swapCurrentTex:1}})}};class m0 extends uV{constructor(){super(...arguments),this.paramsConfig=_0}static type(){return\\\\\\\"material\\\\\\\"}static displayedInputNames(){return[\\\\\\\"objects to assign material to\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(d0.INPUT_CLONED_STATE),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.material],(()=>this.p.material.rawInput()))}))}))}async cook(t){this._operation=this._operation||new d0(this._scene,this.states);const e=await this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class f0 extends aV{static type(){return\\\\\\\"merge\\\\\\\"}cook(t,e){let n=[];for(let i of t)if(i){const t=i.objects();if(e.compact)for(let e of t)e.traverse((t=>{n.push(t)}));else for(let t of i.objects())n.push(t)}e.compact&&(n=this._makeCompact(n));for(let t of n)t.traverse((t=>{t.matrixAutoUpdate=!1}));return this.createCoreGroupFromObjects(n)}_makeCompact(t){const e=new Map,n=new Map,i=[];for(let s of t)s.traverse((t=>{if(t instanceof Fn.a)return;const s=t;if(s.geometry){const t=Os(s.constructor);if(i.includes(t)||i.push(t),t){e.get(t)||e.set(t,s.material),h.pushOnArrayAtEntry(n,t,s)}}}));const s=[];return i.forEach((t=>{var i,r;const o=n.get(t);if(o){const n=[];for(let t of o){const e=t.geometry;e.applyMatrix4(t.matrix),n.push(e)}try{const r=fr.mergeGeometries(n);if(r){const n=e.get(t),i=this.createObject(r,t,n);s.push(i)}else null===(i=this.states)||void 0===i||i.error.set(\\\\\\\"merge failed, check that input geometries have the same attributes\\\\\\\")}catch(t){null===(r=this.states)||void 0===r||r.error.set(t.message)}}})),s}}f0.DEFAULT_PARAMS={compact:!1},f0.INPUT_CLONED_STATE=Qi.FROM_NODE;const g0=\\\\\\\"geometry to merge\\\\\\\",v0=f0.DEFAULT_PARAMS;const y0=new class extends ua{constructor(){super(...arguments),this.compact=ha.BOOLEAN(v0.compact),this.inputsCount=ha.INTEGER(4,{range:[1,32],rangeLocked:[!0,!1],callback:t=>{x0.PARAM_CALLBACK_setInputsCount(t)}})}};class x0 extends uV{constructor(){super(...arguments),this.paramsConfig=y0}static type(){return\\\\\\\"merge\\\\\\\"}static displayedInputNames(){return[g0,g0,g0,g0]}setCompactMode(t){this.p.compact.set(t)}initializeNode(){this.io.inputs.setCount(1,4),this.io.inputs.initInputsClonedState(f0.INPUT_CLONED_STATE),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.compact],(()=>this.pv.compact?\\\\\\\"compact\\\\\\\":\\\\\\\"separate objects\\\\\\\"))})),this.params.addOnSceneLoadHook(\\\\\\\"update inputs\\\\\\\",(()=>{this._callbackUpdateInputsCount()}))}))}cook(t){this._operation=this._operation||new f0(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}_callbackUpdateInputsCount(){this.io.inputs.setCount(1,this.pv.inputsCount),this.emit(Ei.INPUTS_UPDATED)}static PARAM_CALLBACK_setInputsCount(t){t._callbackUpdateInputsCount()}}const b0=new Float32Array(36),w0=new Float32Array(36),T0=new Float32Array(36);function A0(t,e,n){return t+(e-t)*n}class M0 extends S.a{constructor(t,e,n){super(),this.resolution=t,this.isMarchingCubes=!0,this.isolation=80,this.size=-1,this.size2=-1,this.size3=-1,this.halfsize=-1,this.delta=-1,this.yd=-1,this.zd=-1,this.count=-1,this.maxCount=-1,this.enableUvs=void 0!==e&&e,this.enableColors=void 0!==n&&n,this.size=this.resolution,this.size2=this.size*this.size,this.size3=this.size2*this.size,this.halfsize=this.size/2,this.delta=2/this.size,this.yd=this.size,this.zd=this.size2,this.field=new Float32Array(this.size3),this.normal_cache=new Float32Array(3*this.size3),this.palette=new Float32Array(3*this.size3),this.maxCount=this.size3,this.count=0,this.positionArray=new Float32Array(3*this.maxCount),this.setAttribute(\\\\\\\"position\\\\\\\",new C.a(this.positionArray,3)),this.normalArray=new Float32Array(3*this.maxCount),this.setAttribute(\\\\\\\"normal\\\\\\\",new C.a(this.normalArray,3)),this.enableUvs&&(this.uvArray=new Float32Array(2*this.maxCount),this.setAttribute(\\\\\\\"uv\\\\\\\",new C.a(this.uvArray,2))),this.enableColors&&(this.colorArray=new Float32Array(3*this.maxCount),this.setAttribute(\\\\\\\"color\\\\\\\",new C.a(this.colorArray,3)));const i=(t,e,n,i,c)=>{const h=i+1,u=i+this.yd,d=i+this.zd,p=h+this.yd,_=h+this.zd,m=i+this.yd+this.zd,f=h+this.yd+this.zd;let g=0;const v=this.field[i],y=this.field[h],x=this.field[u],b=this.field[p],w=this.field[d],T=this.field[_],A=this.field[m],M=this.field[f];v{const t=this.size-2;for(let e=1;e{const h=(n-o)/(a-o),u=this.normal_cache;b0[e+0]=i+h*this.delta,b0[e+1]=s,b0[e+2]=r,w0[e+0]=A0(u[t+0],u[t+3],h),w0[e+1]=A0(u[t+1],u[t+4],h),w0[e+2]=A0(u[t+2],u[t+5],h),T0[e+0]=A0(this.palette[3*l+0],this.palette[3*c+0],h),T0[e+1]=A0(this.palette[3*l+1],this.palette[3*c+1],h),T0[e+2]=A0(this.palette[3*l+2],this.palette[3*c+2],h)},r=(t,e,n,i,s,r,o,a,l,c)=>{const h=(n-o)/(a-o),u=this.normal_cache;b0[e+0]=i,b0[e+1]=s+h*this.delta,b0[e+2]=r;const d=t+3*this.yd;w0[e+0]=A0(u[t+0],u[d+0],h),w0[e+1]=A0(u[t+1],u[d+1],h),w0[e+2]=A0(u[t+2],u[d+2],h),T0[e+0]=A0(this.palette[3*l+0],this.palette[3*c+0],h),T0[e+1]=A0(this.palette[3*l+1],this.palette[3*c+1],h),T0[e+2]=A0(this.palette[3*l+2],this.palette[3*c+2],h)},o=(t,e,n,i,s,r,o,a,l,c)=>{const h=(n-o)/(a-o),u=this.normal_cache;b0[e+0]=i,b0[e+1]=s,b0[e+2]=r+h*this.delta;const d=t+3*this.zd;w0[e+0]=A0(u[t+0],u[d+0],h),w0[e+1]=A0(u[t+1],u[d+1],h),w0[e+2]=A0(u[t+2],u[d+2],h),T0[e+0]=A0(this.palette[3*l+0],this.palette[3*c+0],h),T0[e+1]=A0(this.palette[3*l+1],this.palette[3*c+1],h),T0[e+2]=A0(this.palette[3*l+2],this.palette[3*c+2],h)},a=t=>{const e=3*t;0===this.normal_cache[e]&&(this.normal_cache[e+0]=this.field[t-1]-this.field[t+1],this.normal_cache[e+1]=this.field[t-this.yd]-this.field[t+this.yd],this.normal_cache[e+2]=this.field[t-this.zd]-this.field[t+this.zd])},l=(t,e,n,i,s,r)=>{const o=3*this.count;if(this.positionArray&&this.normalArray){if(this.positionArray[o+0]=t[i],this.positionArray[o+1]=t[i+1],this.positionArray[o+2]=t[i+2],this.positionArray[o+3]=t[s],this.positionArray[o+4]=t[s+1],this.positionArray[o+5]=t[s+2],this.positionArray[o+6]=t[r],this.positionArray[o+7]=t[r+1],this.positionArray[o+8]=t[r+2],this.normalArray[o+0]=e[i+0],this.normalArray[o+1]=e[i+1],this.normalArray[o+2]=e[i+2],this.normalArray[o+3]=e[s+0],this.normalArray[o+4]=e[s+1],this.normalArray[o+5]=e[s+2],this.normalArray[o+6]=e[r+0],this.normalArray[o+7]=e[r+1],this.normalArray[o+8]=e[r+2],this.enableUvs&&this.uvArray){const e=2*this.count;this.uvArray[e+0]=t[i+0],this.uvArray[e+1]=t[i+2],this.uvArray[e+2]=t[s+0],this.uvArray[e+3]=t[s+2],this.uvArray[e+4]=t[r+0],this.uvArray[e+5]=t[r+2]}this.enableColors&&this.colorArray&&(this.colorArray[o+0]=n[i+0],this.colorArray[o+1]=n[i+1],this.colorArray[o+2]=n[i+2],this.colorArray[o+3]=n[s+0],this.colorArray[o+4]=n[s+1],this.colorArray[o+5]=n[s+2],this.colorArray[o+6]=n[r+0],this.colorArray[o+7]=n[r+1],this.colorArray[o+8]=n[r+2]),this.count+=3}}}createPolygons(){this._createPolygons()}addBall(t,e,n,i,s,r){const o=Math.sign(i);i=Math.abs(i);const a=!(null==r);let l=new D.a(t,e,n);if(a)try{r&&(l=r)}catch(i){l=new D.a(t,e,n)}const c=this.size*Math.sqrt(i/s),h=n*this.size,u=e*this.size,d=t*this.size;let p=Math.floor(h-c);p<1&&(p=1);let _=Math.floor(h+c);_>this.size-1&&(_=this.size-1);let m=Math.floor(u-c);m<1&&(m=1);let f=Math.floor(u+c);f>this.size-1&&(f=this.size-1);let g=Math.floor(d-c);g<1&&(g=1);let v,y,x,b,w,T,A,M,E,S,C,N=Math.floor(d+c);for(N>this.size-1&&(N=this.size-1),x=p;x<_;x++)for(w=this.size2*x,M=x/this.size-n,E=M*M,y=m;y0){this.field[b+v]+=C*o;const t=Math.sqrt((v-d)*(v-d)+(y-u)*(y-u)+(x-h)*(x-h))/c,e=1-t*t*t*(t*(6*t-15)+10);this.palette[3*(b+v)+0]+=l.r*e,this.palette[3*(b+v)+1]+=l.g*e,this.palette[3*(b+v)+2]+=l.b*e}}}const E0=new 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-1,-1,-1,-1,1,10,2,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,1,3,8,9,1,8,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,9,1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,0,3,8,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1,-1]),C0=new p.a;class N0 extends aV{static type(){return\\\\\\\"metaball\\\\\\\"}cook(t,e){const n=t[0],i=new M0(e.resolution,e.enableUVs,e.enableColors);i.isolation=e.isolation;const s=n.points();for(let t of s){t.getPosition(C0),C0.multiplyScalar(.5).addScalar(.5);let n=e.metaStrength;if(e.useMetaStrengthAttrib){let e=t.attribValue(\\\\\\\"metaStrength\\\\\\\");m.isNumber(e)&&(n*=e)}let s=e.metaSubstract;if(e.useMetaSubstractAttrib){let e=t.attribValue(\\\\\\\"metaSubstract\\\\\\\");m.isNumber(e)&&(s*=e)}i.addBall(C0.x,C0.y,C0.z,n,s,void 0)}return i.createPolygons(),this.createCoreGroupFromGeometry(i)}}N0.DEFAULT_PARAMS={resolution:40,isolation:30,useMetaStrengthAttrib:!1,metaStrength:1,useMetaSubstractAttrib:!1,metaSubstract:1,enableUVs:!1,enableColors:!1},N0.INPUT_CLONED_STATE=Qi.NEVER;const L0=N0.DEFAULT_PARAMS;const O0=new class extends ua{constructor(){super(...arguments),this.resolution=ha.FLOAT(L0.resolution,{range:[0,100],rangeLocked:[!0,!1]}),this.isolation=ha.FLOAT(L0.isolation,{range:[0,100],rangeLocked:[!0,!1]}),this.useMetaStrengthAttrib=ha.BOOLEAN(L0.useMetaStrengthAttrib),this.metaStrength=ha.FLOAT(L0.metaStrength,{range:[0,10],rangeLocked:[!0,!1]}),this.useMetaSubstractAttrib=ha.BOOLEAN(L0.useMetaSubstractAttrib),this.metaSubstract=ha.FLOAT(L0.metaSubstract,{range:[0,10],rangeLocked:[!0,!1]}),this.enableUVs=ha.BOOLEAN(L0.enableUVs),this.enableColors=ha.BOOLEAN(L0.enableColors)}};class P0 extends uV{constructor(){super(...arguments),this.paramsConfig=O0}static type(){return\\\\\\\"metaball\\\\\\\"}static displayedInputNames(){return[\\\\\\\"points to create metaballs from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(N0.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new N0(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class R0{constructor(t=Math){this.grad3=[[1,1,0],[-1,1,0],[1,-1,0],[-1,-1,0],[1,0,1],[-1,0,1],[1,0,-1],[-1,0,-1],[0,1,1],[0,-1,1],[0,1,-1],[0,-1,-1]],this.grad4=[[0,1,1,1],[0,1,1,-1],[0,1,-1,1],[0,1,-1,-1],[0,-1,1,1],[0,-1,1,-1],[0,-1,-1,1],[0,-1,-1,-1],[1,0,1,1],[1,0,1,-1],[1,0,-1,1],[1,0,-1,-1],[-1,0,1,1],[-1,0,1,-1],[-1,0,-1,1],[-1,0,-1,-1],[1,1,0,1],[1,1,0,-1],[1,-1,0,1],[1,-1,0,-1],[-1,1,0,1],[-1,1,0,-1],[-1,-1,0,1],[-1,-1,0,-1],[1,1,1,0],[1,1,-1,0],[1,-1,1,0],[1,-1,-1,0],[-1,1,1,0],[-1,1,-1,0],[-1,-1,1,0],[-1,-1,-1,0]],this.p=[];for(let e=0;e<256;e++)this.p[e]=Math.floor(256*t.random());this.perm=[];for(let t=0;t<512;t++)this.perm[t]=this.p[255&t];this.simplex=[[0,1,2,3],[0,1,3,2],[0,0,0,0],[0,2,3,1],[0,0,0,0],[0,0,0,0],[0,0,0,0],[1,2,3,0],[0,2,1,3],[0,0,0,0],[0,3,1,2],[0,3,2,1],[0,0,0,0],[0,0,0,0],[0,0,0,0],[1,3,2,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[1,2,0,3],[0,0,0,0],[1,3,0,2],[0,0,0,0],[0,0,0,0],[0,0,0,0],[2,3,0,1],[2,3,1,0],[1,0,2,3],[1,0,3,2],[0,0,0,0],[0,0,0,0],[0,0,0,0],[2,0,3,1],[0,0,0,0],[2,1,3,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[0,0,0,0],[2,0,1,3],[0,0,0,0],[0,0,0,0],[0,0,0,0],[3,0,1,2],[3,0,2,1],[0,0,0,0],[3,1,2,0],[2,1,0,3],[0,0,0,0],[0,0,0,0],[0,0,0,0],[3,1,0,2],[0,0,0,0],[3,2,0,1],[3,2,1,0]]}dot(t,e,n){return t[0]*e+t[1]*n}dot3(t,e,n,i){return t[0]*e+t[1]*n+t[2]*i}dot4(t,e,n,i,s){return t[0]*e+t[1]*n+t[2]*i+t[3]*s}noise(t,e){let n,i,s;const r=(t+e)*(.5*(Math.sqrt(3)-1)),o=Math.floor(t+r),a=Math.floor(e+r),l=(3-Math.sqrt(3))/6,c=(o+a)*l,h=t-(o-c),u=e-(a-c);let d,p;h>u?(d=1,p=0):(d=0,p=1);const _=h-d+l,m=u-p+l,f=h-1+2*l,g=u-1+2*l,v=255&o,y=255&a,x=this.perm[v+this.perm[y]]%12,b=this.perm[v+d+this.perm[y+p]]%12,w=this.perm[v+1+this.perm[y+1]]%12;let T=.5-h*h-u*u;T<0?n=0:(T*=T,n=T*T*this.dot(this.grad3[x],h,u));let A=.5-_*_-m*m;A<0?i=0:(A*=A,i=A*A*this.dot(this.grad3[b],_,m));let M=.5-f*f-g*g;return M<0?s=0:(M*=M,s=M*M*this.dot(this.grad3[w],f,g)),70*(n+i+s)}noise3d(t,e,n){let i,s,r,o;const a=(t+e+n)*(1/3),l=Math.floor(t+a),c=Math.floor(e+a),h=Math.floor(n+a),u=1/6,d=(l+c+h)*u,p=t-(l-d),_=e-(c-d),m=n-(h-d);let f,g,v,y,x,b;p>=_?_>=m?(f=1,g=0,v=0,y=1,x=1,b=0):p>=m?(f=1,g=0,v=0,y=1,x=0,b=1):(f=0,g=0,v=1,y=1,x=0,b=1):_b?32:0)+(x>w?16:0)+(b>w?8:0)+(x>T?4:0)+(b>T?2:0)+(w>T?1:0),M=r[A][0]>=3?1:0,E=r[A][1]>=3?1:0,S=r[A][2]>=3?1:0,C=r[A][3]>=3?1:0,N=r[A][0]>=2?1:0,L=r[A][1]>=2?1:0,O=r[A][2]>=2?1:0,P=r[A][3]>=2?1:0,R=r[A][0]>=1?1:0,I=r[A][1]>=1?1:0,F=r[A][2]>=1?1:0,D=r[A][3]>=1?1:0,B=x-M+l,z=b-E+l,k=w-S+l,U=T-C+l,G=x-N+2*l,V=b-L+2*l,H=w-O+2*l,j=T-P+2*l,W=x-R+3*l,q=b-I+3*l,X=w-F+3*l,Y=T-D+3*l,$=x-1+4*l,J=b-1+4*l,Z=w-1+4*l,K=T-1+4*l,Q=255&m,tt=255&f,et=255&g,nt=255&v,it=o[Q+o[tt+o[et+o[nt]]]]%32,st=o[Q+M+o[tt+E+o[et+S+o[nt+C]]]]%32,rt=o[Q+N+o[tt+L+o[et+O+o[nt+P]]]]%32,ot=o[Q+R+o[tt+I+o[et+F+o[nt+D]]]]%32,at=o[Q+1+o[tt+1+o[et+1+o[nt+1]]]]%32;let lt=.6-x*x-b*b-w*w-T*T;lt<0?c=0:(lt*=lt,c=lt*lt*this.dot4(s[it],x,b,w,T));let ct=.6-B*B-z*z-k*k-U*U;ct<0?h=0:(ct*=ct,h=ct*ct*this.dot4(s[st],B,z,k,U));let ht=.6-G*G-V*V-H*H-j*j;ht<0?u=0:(ht*=ht,u=ht*ht*this.dot4(s[rt],G,V,H,j));let ut=.6-W*W-q*q-X*X-Y*Y;ut<0?d=0:(ut*=ut,d=ut*ut*this.dot4(s[ot],W,q,X,Y));let dt=.6-$*$-J*J-Z*Z-K*K;return dt<0?p=0:(dt*=dt,p=dt*dt*this.dot4(s[at],$,J,Z,K)),27*(c+h+u+d+p)}}var I0;!function(t){t.ADD=\\\\\\\"add\\\\\\\",t.SET=\\\\\\\"set\\\\\\\",t.MULT=\\\\\\\"mult\\\\\\\",t.SUBSTRACT=\\\\\\\"substract\\\\\\\",t.DIVIDE=\\\\\\\"divide\\\\\\\"}(I0||(I0={}));const F0=[I0.ADD,I0.SET,I0.MULT,I0.SUBSTRACT,I0.DIVIDE];const D0=new class extends ua{constructor(){super(...arguments),this.amplitude=ha.FLOAT(1),this.tamplitudeAttrib=ha.BOOLEAN(0),this.amplitudeAttrib=ha.STRING(\\\\\\\"amp\\\\\\\",{visibleIf:{tamplitudeAttrib:!0}}),this.freq=ha.VECTOR3([1,1,1]),this.offset=ha.VECTOR3([0,0,0]),this.octaves=ha.INTEGER(3,{range:[1,8],rangeLocked:[!0,!1]}),this.ampAttenuation=ha.FLOAT(.5,{range:[0,1]}),this.freqIncrease=ha.FLOAT(2,{range:[0,10]}),this.seed=ha.INTEGER(0,{range:[0,100],separatorAfter:!0}),this.useNormals=ha.BOOLEAN(0),this.attribName=ha.STRING(\\\\\\\"position\\\\\\\"),this.useRestAttributes=ha.BOOLEAN(0),this.restP=ha.STRING(\\\\\\\"restP\\\\\\\",{visibleIf:{useRestAttributes:!0}}),this.restN=ha.STRING(\\\\\\\"restN\\\\\\\",{visibleIf:{useRestAttributes:!0}}),this.operation=ha.INTEGER(F0.indexOf(I0.ADD),{menu:{entries:F0.map((t=>({name:t,value:F0.indexOf(t)})))}}),this.computeNormals=ha.BOOLEAN(1)}},B0=new p.a,z0=new p.a;class k0 extends uV{constructor(){super(...arguments),this.paramsConfig=D0,this._simplexBySeed=new Map,this._restPos=new p.a,this._restValue2=new d.a,this._restValue4=new _.a,this._noiseValueV=new p.a,this._currentAttribValueF=0,this._currentAttribValueV2=new d.a,this._currentAttribValueV3=new p.a,this._currentAttribValueV4=new _.a}static type(){return\\\\\\\"noise\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to add noise to\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState([Qi.FROM_NODE])}setOperation(t){this.p.operation.set(F0.indexOf(t))}async cook(t){const e=t[0],n=e.points(),i=this.pv.attribName;if(!e.hasAttrib(i))return this.states.error.set(`attribute ${i} not found`),void this.cookController.endCook();if(e.attribType(i)!=zs.NUMERIC)return this.states.error.set(`attribute ${i} is not a numeric attribute`),void this.cookController.endCook();const s=e.attribSize(this.pv.attribName),r=n[0];if(!r)return void this.setCoreGroup(e);const o=r.attribValue(i);if(m.isString(o))return void this.states.error.set(\\\\\\\"cannot add noise to a string attribute\\\\\\\");const a={octaves:this.pv.octaves,ampAttenuation:this.pv.ampAttenuation,freqIncrease:this.pv.freqIncrease};try{switch(s){case 1:this._cookForFloat(n,a);break;case 2:this._cookForV2(n,a);break;case 3:this._cookForV3(n,a);break;case 4:this._cookForV4(n,a)}}catch(t){console.error(\\\\\\\"sop/noise error\\\\\\\",t),this.states.error.set(`cook failed for (${this.path()}). make sure the required attributes are present`)}if(!this.io.inputs.cloneRequired(0))for(let t of e.geometries())t.getAttribute(i).needsUpdate=!0;this.pv.computeNormals&&e.computeVertexNormals(),this.setCoreGroup(e)}_cookForFloat(t,e){const n=this._getSimplex(),i=this.pv.useRestAttributes,s=this.pv.useNormals,r=this.pv.tamplitudeAttrib,o=this.pv.amplitude,a=F0[this.pv.operation],l=this.pv.attribName;for(let c of t){i?(c.attribValueVector3(this.pv.restP,B0),s&&c.attribValueVector3(this.pv.restN,z0),this._currentAttribValueF=B0.x):(c.getPosition(B0),s&&c.attribValueVector3(Ws.NORMAL,z0),this._currentAttribValueF=c.attribValueNumber(l));const t=r?this._amplitudeFromAttrib(c,o):o,h=this._noiseValue(s,n,t,e,B0,z0).x,u=k0._newAttribValueFromFloat(a,this._currentAttribValueF,h);c.setAttribValueFromNumber(l,u)}}_cookForV2(t,e){const n=this._getSimplex(),i=this.pv.useRestAttributes,s=this.pv.useNormals,r=this.pv.tamplitudeAttrib,o=this.pv.amplitude,a=F0[this.pv.operation],l=this.pv.attribName;for(let c of t){i?(c.attribValueVector3(this.pv.restP,B0),s&&c.attribValueVector3(this.pv.restN,z0),this._currentAttribValueV2.set(B0.x,B0.y)):(c.getPosition(B0),s&&c.attribValueVector3(Ws.NORMAL,z0),c.attribValueVector2(l,this._currentAttribValueV2));const t=r?this._amplitudeFromAttrib(c,o):o,h=this._noiseValue(s,n,t,e,B0,z0);this._restValue2.set(h.x,h.y);const u=this._restValue2,d=k0._newAttribValueFromVector2(a,this._currentAttribValueV2,u);c.setAttribValueFromVector2(l,d)}}_cookForV3(t,e){const n=this._getSimplex(),i=this.pv.useRestAttributes,s=this.pv.useNormals,r=this.pv.tamplitudeAttrib,o=this.pv.amplitude,a=F0[this.pv.operation],l=this.pv.attribName;for(let c of t){i?(c.attribValueVector3(this.pv.restP,B0),s&&c.attribValueVector3(this.pv.restN,z0),this._currentAttribValueV3.copy(B0)):(c.getPosition(B0),s&&c.attribValueVector3(Ws.NORMAL,z0),c.attribValueVector3(l,this._currentAttribValueV3));const t=r?this._amplitudeFromAttrib(c,o):o,h=this._noiseValue(s,n,t,e,B0,z0),u=k0._newAttribValueFromVector3(a,this._currentAttribValueV3,h);c.setAttribValueFromVector3(l,u)}}_cookForV4(t,e){const n=this._getSimplex(),i=this.pv.useRestAttributes,s=this.pv.useNormals,r=this.pv.tamplitudeAttrib,o=this.pv.amplitude,a=F0[this.pv.operation],l=this.pv.attribName;for(let c of t){i?(c.attribValueVector3(this.pv.restP,B0),s&&c.attribValueVector3(this.pv.restN,z0),this._currentAttribValueV4.set(B0.x,B0.y,B0.z,0)):(c.getPosition(B0),s&&c.attribValueVector3(Ws.NORMAL,z0),c.attribValueVector4(l,this._currentAttribValueV4));const t=r?this._amplitudeFromAttrib(c,o):o,h=this._noiseValue(s,n,t,e,B0,z0);this._restValue4.set(h.x,h.y,h.z,0);const u=this._restValue4,d=k0._newAttribValueFromVector4(a,this._currentAttribValueV4,u);c.setAttribValueFromVector4(l,d)}}_noiseValue(t,e,n,i,s,r){if(this._restPos.copy(s).add(this.pv.offset).multiply(this.pv.freq),t&&r){const t=n*this._fbm(e,i,this._restPos.x,this._restPos.y,this._restPos.z);return this._noiseValueV.copy(r),this._noiseValueV.multiplyScalar(t)}return this._noiseValueV.set(n*this._fbm(e,i,this._restPos.x+545,this._restPos.y+125454,this._restPos.z+2142),n*this._fbm(e,i,this._restPos.x-425,this._restPos.y-25746,this._restPos.z+95242),n*this._fbm(e,i,this._restPos.x+765132,this._restPos.y+21,this._restPos.z-9245)),this._noiseValueV}static _newAttribValueFromFloat(t,e,n){switch(t){case I0.ADD:return e+n;case I0.SET:return n;case I0.MULT:return e*n;case I0.DIVIDE:return e/n;case I0.SUBSTRACT:return e-n}os.unreachable(t)}static _newAttribValueFromVector2(t,e,n){switch(t){case I0.ADD:return e.add(n);case I0.SET:return n;case I0.MULT:return e.multiply(n);case I0.DIVIDE:return e.divide(n);case I0.SUBSTRACT:return e.sub(n)}os.unreachable(t)}static _newAttribValueFromVector3(t,e,n){switch(t){case I0.ADD:return e.add(n);case I0.SET:return n;case I0.MULT:return e.multiply(n);case I0.DIVIDE:return e.divide(n);case I0.SUBSTRACT:return e.sub(n)}os.unreachable(t)}static _newAttribValueFromVector4(t,e,n){switch(t){case I0.ADD:return e.add(n);case I0.SET:return n;case I0.MULT:return e.multiplyScalar(n.x);case I0.DIVIDE:return e.divideScalar(n.x);case I0.SUBSTRACT:return e.sub(n)}os.unreachable(t)}_amplitudeFromAttrib(t,e){const n=t.attribValue(this.pv.amplitudeAttrib);return m.isNumber(n)?n*e:n instanceof d.a||n instanceof p.a||n instanceof _.a?n.x*e:1}_fbm(t,e,n,i,s){let r=0,o=1;for(let a=0;a{s[3*t.index()+0]=e}));else{let t;for(let e=0;e{s[3*t.index()+1]=e}));else{let t;for(let e=0;e{s[3*t.index()+2]=e}));else{let t;for(let e=0;e{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.geometry],(()=>this.p.geometry.rawInput()))}))}))}async cook(t){const e=this.p.geometry.found_node();if(e)if(e.context()==ts.SOP){const t=await e.compute();this.import_input(e,t)}else this.states.error.set(\\\\\\\"found node is not a geometry\\\\\\\");else this.states.error.set(`node not found at path '${this.pv.geometry}'`)}import_input(t,e){let n;null!=(n=e.coreContentCloned())?this.setCoreGroup(n):this.states.error.set(\\\\\\\"invalid target\\\\\\\")}}class X0 extends aV{static type(){return\\\\\\\"objectProperties\\\\\\\"}cook(t,e){const n=t[0];for(let t of n.objects())e.applyToChildren?t.traverse((t=>{this._update_object(t,e)})):this._update_object(t,e);return n}_update_object(t,e){e.tname&&(t.name=e.name),e.trenderOrder&&(t.renderOrder=e.renderOrder),e.tfrustumCulled&&(t.frustumCulled=e.frustumCulled),e.tmatrixAutoUpdate&&(t.matrixAutoUpdate=e.matrixAutoUpdate),e.tvisible&&(t.visible=e.visible),e.tcastShadow&&(t.castShadow=e.castShadow),e.treceiveShadow&&(t.receiveShadow=e.receiveShadow)}}X0.DEFAULT_PARAMS={applyToChildren:!0,tname:!1,name:\\\\\\\"\\\\\\\",trenderOrder:!1,renderOrder:0,tfrustumCulled:!1,frustumCulled:!0,tmatrixAutoUpdate:!1,matrixAutoUpdate:!1,tvisible:!1,visible:!0,tcastShadow:!1,castShadow:!0,treceiveShadow:!1,receiveShadow:!0},X0.INPUT_CLONED_STATE=Qi.FROM_NODE;const Y0=X0.DEFAULT_PARAMS;const $0=new class extends ua{constructor(){super(...arguments),this.applyToChildren=ha.BOOLEAN(Y0.applyToChildren,{separatorAfter:!0}),this.tname=ha.BOOLEAN(Y0.tname),this.name=ha.STRING(Y0.name,{visibleIf:{tname:!0},separatorAfter:!0}),this.trenderOrder=ha.BOOLEAN(Y0.trenderOrder),this.renderOrder=ha.INTEGER(Y0.renderOrder,{visibleIf:{trenderOrder:!0},range:[0,10],rangeLocked:[!1,!1],separatorAfter:!0}),this.tfrustumCulled=ha.BOOLEAN(Y0.tfrustumCulled),this.frustumCulled=ha.BOOLEAN(Y0.frustumCulled,{visibleIf:{tfrustumCulled:!0},separatorAfter:!0}),this.tmatrixAutoUpdate=ha.BOOLEAN(Y0.tmatrixAutoUpdate),this.matrixAutoUpdate=ha.BOOLEAN(Y0.matrixAutoUpdate,{visibleIf:{tmatrixAutoUpdate:!0},separatorAfter:!0}),this.tvisible=ha.BOOLEAN(Y0.tvisible),this.visible=ha.BOOLEAN(Y0.visible,{visibleIf:{tvisible:!0},separatorAfter:!0}),this.tcastShadow=ha.BOOLEAN(Y0.tcastShadow),this.castShadow=ha.BOOLEAN(Y0.castShadow,{visibleIf:{tcastShadow:!0},separatorAfter:!0}),this.treceiveShadow=ha.BOOLEAN(Y0.treceiveShadow),this.receiveShadow=ha.BOOLEAN(Y0.receiveShadow,{visibleIf:{treceiveShadow:!0}})}};class J0 extends uV{constructor(){super(...arguments),this.paramsConfig=$0}static type(){return\\\\\\\"objectProperties\\\\\\\"}static displayedInputNames(){return[\\\\\\\"objects to change properties of\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(X0.INPUT_CLONED_STATE)}async cook(t){this._operation=this._operation||new X0(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const Z0=new class extends ua{};class K0 extends uV{constructor(){super(...arguments),this.paramsConfig=Z0,this._input_configs_by_operation_container=new WeakMap}static type(){return Bl}initializeNode(){this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}set_output_operation_container(t){this._output_operation_container=t}output_operation_container(){return this._output_operation_container}add_input_config(t,e){let n=this._input_configs_by_operation_container.get(t);n||(n=new Map,this._input_configs_by_operation_container.set(t,n)),n.set(e.operation_input_index,e.node_input_index)}add_operation_container_with_path_param_resolve_required(t){this._operation_containers_requiring_resolve||(this._operation_containers_requiring_resolve=[]),this._operation_containers_requiring_resolve.push(t)}resolve_operation_containers_path_params(){if(this._operation_containers_requiring_resolve)for(let t of this._operation_containers_requiring_resolve)t.resolve_path_params(this)}async cook(t){if(this._output_operation_container){this._output_operation_container.setDirty();const e=await this._output_operation_container.compute(t,this._input_configs_by_operation_container);e&&this.setCoreGroup(e)}}}class Q0 extends _f{constructor(t){super(),this._uv_name=t}set_texture_allocations_controller(t){this._texture_allocations_controller=t}handle_globals_node(t,e,n){if(!this._texture_allocations_controller)return;const i=t.io.outputs.namedOutputConnectionPointsByName(e),s=t.glVarName(e);if(this._texture_allocations_controller.variable(e)&&i){const r=i.type(),o=`${r} ${s} = ${this.read_attribute(t,r,e,n)}`;n.addBodyLines(t,[o])}else this.globals_geometry_handler=this.globals_geometry_handler||new Pf,this.globals_geometry_handler.handle_globals_node(t,e,n)}read_attribute(t,e,n,i){if(!this._texture_allocations_controller)return;const s=this._texture_allocations_controller.variable(n);if(!s)return Pf.read_attribute(t,e,n,i);{this.add_particles_sim_uv_attribute(t,i);const e=s.component(),n=s.allocation();if(n){const s=n.textureName(),r=new Nf(t,Uo.SAMPLER_2D,s);i.addDefinitions(t,[r]);return`texture2D( ${s}, ${this._uv_name} ).${e}`}}}add_particles_sim_uv_attribute(t,e){const n=new Sf(t,Uo.VEC2,Q0.UV_ATTRIB),i=new Lf(t,Uo.VEC2,Q0.UV_VARYING);e.addDefinitions(t,[n,i],Mf.VERTEX),e.addDefinitions(t,[i],Mf.FRAGMENT),e.addBodyLines(t,[`${Q0.UV_VARYING} = ${Q0.UV_ATTRIB}`],Mf.VERTEX)}}Q0.UV_ATTRIB=\\\\\\\"particles_sim_uv_attrib\\\\\\\",Q0.UV_VARYING=\\\\\\\"particles_sim_uv_varying\\\\\\\",Q0.PARTICLE_SIM_UV=\\\\\\\"particleUV\\\\\\\";class t1{constructor(t){this.node=t,this._particles_group_objects=[],this._all_shader_names=[],this._all_uniform_names=[],this.globals_handler=new Q0(Q0.UV_VARYING)}setShadersByName(t){this._shaders_by_name=t,this._all_shader_names=[],this._all_uniform_names=[],this._shaders_by_name.forEach(((t,e)=>{this._all_shader_names.push(e),this._all_uniform_names.push(`texture_${e}`)})),this.reset_render_material()}assign_render_material(){if(this._render_material){for(let t of this._particles_group_objects){const e=t;e.geometry&&(e.material=this._render_material,yr.applyCustomMaterials(e,this._render_material),e.matrixAutoUpdate=!1,e.updateMatrix())}this._render_material.needsUpdate=!0,this.update_render_material_uniforms()}}update_render_material_uniforms(){var t;if(!this._render_material)return;let e,n;for(let i=0;i=e&&(null==this._lastSimulatedFrame&&(this._lastSimulatedFrame=e-1),null==this._lastSimulatedTime&&(this._lastSimulatedTime=this.node.scene().time()),t>this._lastSimulatedFrame&&this._computeSimulation(t-this._lastSimulatedFrame))}_computeSimulation(t=1){if(!this._gpuCompute||null==this._lastSimulatedTime)return;this._updateSimulationMaterialUniforms();for(let e=0;et)return void this.node.states.error.set(`max particles is set to (${this.node.pv.texturesSize.x}x${this.node.pv.texturesSize.y}=) ${t}`);this._usedTexturesSize.copy(this.node.pv.texturesSize)}this._forceTimeDependent(),this._initParticlesUVs(),this.node.renderController.reset_render_material();const n=await li.renderersController.waitForRenderer();if(n?this._renderer=n:this.node.states.error.set(\\\\\\\"no renderer found\\\\\\\"),!this._renderer)return;const i=new n1(this._usedTexturesSize.x,this._usedTexturesSize.y,this._renderer);if(i.setDataType(this._dataType()),this._gpuCompute=i,this._gpuCompute){this._lastSimulatedFrame=void 0,this._variablesByName.forEach(((t,e)=>{t.renderTargets[0].dispose(),t.renderTargets[1].dispose(),this._variablesByName.delete(e)})),this._allVariables=[],null===(t=this._shadersByName)||void 0===t||t.forEach(((t,e)=>{if(this._gpuCompute){const n=this._gpuCompute.addVariable(this._textureNameForShaderName(e),t,this._createdTexturesByName.get(e));this._variablesByName.set(e,n),this._allVariables.push(n)}})),null===(e=this._variablesByName)||void 0===e||e.forEach(((t,e)=>{this._gpuCompute&&this._gpuCompute.setVariableDependencies(t,this._allVariables)})),this._createTextureRenderTargets(),this._fillTextures(),this._createSimulationMaterialUniforms();var s=this._gpuCompute.init();null!==s&&(console.error(s),this.node.states.error.set(s))}else this.node.states.error.set(\\\\\\\"failed to create the GPUComputationRenderer\\\\\\\")}_forceTimeDependent(){this._graph_node||(this._graph_node=new Mi(this.node.scene(),\\\\\\\"gpu_compute\\\\\\\"),this._graph_node.addGraphInput(this.node.scene().timeController.graphNode),this._graph_node.addPostDirtyHook(\\\\\\\"on_time_change\\\\\\\",this._onGraphNodeDirty.bind(this)))}_onGraphNodeDirty(){this.node.isOnStartFrame()?this.node.setDirty():this.computeSimilationIfRequired()}materials(){const t=[];return this._variablesByName.forEach(((e,n)=>{t.push(e.material)})),t}_createSimulationMaterialUniforms(){const t=this.node.assemblerController,e=null==t?void 0:t.assembler;if(!e&&!this._persistedTextureAllocationsController)return;const n=[];this._variablesByName.forEach(((t,e)=>{n.push(t.material)}));const i=this._readonlyAllocations();for(let t of n)t.uniforms[TR.TIME]={value:this.node.scene().time()},t.uniforms[TR.DELTA_TIME]={value:this.node.scene().time()},i&&this._assignReadonlyTextures(t,i);if(e)for(let t of n)for(let n of e.param_configs())t.uniforms[n.uniform_name]=n.uniform;else{const t=this.node.persisted_config.loaded_data();if(t){const e=this.node.persisted_config.uniforms();if(e){const s=t.param_uniform_pairs;for(let t of s){const s=t[0],r=t[1],o=this.node.params.get(s),a=e[r];for(let t of n)t.uniforms[r]=a,i&&this._assignReadonlyTextures(t,i);o&&a&&o.options.setOption(\\\\\\\"callback\\\\\\\",(()=>{for(let t of n)tg.callback(o,t.uniforms[r])}))}}}}}_assignReadonlyTextures(t,e){for(let n of e){const e=n.shaderName(),i=this._createdTexturesByName.get(e);if(i){const n=this._textureNameForShaderName(e);t.uniforms[n]={value:i}}}}_updateSimulationMaterialUniforms(){for(let t of this._allVariables)t.material.uniforms[TR.TIME].value=this.node.scene().time(),t.material.uniforms[TR.DELTA_TIME].value=this._deltaTime}_initParticlesUVs(){var t=new Float32Array(2*this._points.length);let e=0;for(var n=0,i=0;i=t.length));s++);const r=Q0.UV_ATTRIB;if(this._particlesCoreGroup)for(let e of this._particlesCoreGroup.coreGeometries()){const n=e.geometry(),i=e.markedAsInstance()?I$:C.a;n.setAttribute(r,new i(t,2))}}createdTexturesByName(){return this._createdTexturesByName}_fillTextures(){const t=this._textureAllocationsController();t&&this._createdTexturesByName.forEach(((e,n)=>{const i=t.allocationForShaderName(n);if(!i)return void console.warn(`no allocation found for shader ${n}`);const s=i.variables();if(!s)return void console.warn(\\\\\\\"allocation has no variables\\\\\\\");const r=e.image.data;for(let t of s){const e=t.position();let n=t.name();const i=this._points[0];if(i){if(i.hasAttrib(n)){const t=i.attribSize(n);let s=e;for(let e of this._points){if(1==t){const t=e.attribValue(n);r[s]=t}else e.attribValue(n).toArray(r,s);s+=4}}}}}))}resetGpuCompute(){this._gpuCompute=void 0,this._simulationRestartRequired=!0}setRestartNotRequired(){this._simulationRestartRequired=!1}resetGpuComputeAndSetDirty(){this.resetGpuCompute(),this.node.setDirty()}resetParticleGroups(){this._particlesCoreGroup=void 0}initialized(){return null!=this._particlesCoreGroup&&null!=this._gpuCompute}_createTextureRenderTargets(){this._createdTexturesByName.forEach(((t,e)=>{t.dispose()})),this._createdTexturesByName.clear(),this._variablesByName.forEach(((t,e)=>{this._gpuCompute&&this._createdTexturesByName.set(e,this._gpuCompute.createTexture())}));const t=this._readonlyAllocations();if(t&&this._gpuCompute)for(let e of t)this._createdTexturesByName.set(e.shaderName(),this._gpuCompute.createTexture())}_textureAllocationsController(){var t;return(null===(t=this.node.assemblerController)||void 0===t?void 0:t.assembler.textureAllocationsController())||this._persistedTextureAllocationsController}_readonlyAllocations(){var t;return null===(t=this._textureAllocationsController())||void 0===t?void 0:t.readonlyAllocations()}restartSimulationIfRequired(){this._simulationRestartRequired&&this._restartSimulation()}_restartSimulation(){this._lastSimulatedTime=void 0,this._createTextureRenderTargets();this._getPoints()&&(this._fillTextures(),this._variablesByName.forEach(((t,e)=>{const n=this._createdTexturesByName.get(e);this._gpuCompute&&n&&(this._gpuCompute.renderTexture(n,t.renderTargets[0]),this._gpuCompute.renderTexture(n,t.renderTargets[1]))})))}_getPoints(){if(!this._particlesCoreGroup)return;let t=this._particlesCoreGroup.coreGeometries();const e=t[0];if(e){const n=e.markedAsInstance(),i=[];for(let e of t)e.markedAsInstance()==n&&i.push(e);const s=[];for(let t of i)for(let e of t.points())s.push(e);return s}return[]}}class o1{constructor(t,e){if(this._name=t,this._size=e,this._position=-1,this._readonly=!1,!t)throw\\\\\\\"TextureVariable requires a name\\\\\\\"}merge(t){var e;t.readonly()||this.setReadonly(!1),null===(e=t.graphNodeIds())||void 0===e||e.forEach(((t,e)=>{this.addGraphNodeId(e)}))}setReadonly(t){this._readonly=t}readonly(){return this._readonly}setAllocation(t){this._allocation=t}allocation(){return this._allocation}graphNodeIds(){return this._graph_node_ids}addGraphNodeId(t){this._graph_node_ids=this._graph_node_ids||new Map,this._graph_node_ids.set(t,!0)}name(){return this._name}size(){return this._size}setPosition(t){this._position=t}position(){return this._position}component(){return\\\\\\\"xyzw\\\\\\\".split(\\\\\\\"\\\\\\\").splice(this._position,this._size).join(\\\\\\\"\\\\\\\")}static fromJSON(t){return new o1(t.name,t.size)}toJSON(t){const e=[];return this._graph_node_ids&&this._graph_node_ids.forEach(((n,i)=>{const s=t.graph.nodeFromId(i);if(s){const t=s.path();t&&e.push(t)}})),{name:this.name(),size:this.size(),nodes:e}}}class a1{constructor(){this._size=0}addVariable(t){this._variables=this._variables||[],this._variables.push(t),t.setPosition(this._size),t.setAllocation(this),this._size+=t.size()}hasSpaceForVariable(t){return this._size+t.size()<=4}shaderName(){var t;return((null===(t=this.variables())||void 0===t?void 0:t.map((t=>t.name())))||[\\\\\\\"no_variables_allocated\\\\\\\"]).join(\\\\\\\"_SEPARATOR_\\\\\\\")}textureName(){return`texture_${this.shaderName()}`}variables(){return this._variables}variablesForInputNode(t){var e;return null===(e=this._variables)||void 0===e?void 0:e.filter((e=>{var n;return(null===(n=e.graphNodeIds())||void 0===n?void 0:n.has(t.graphNodeId()))||!1}))}inputNamesForNode(t){const e=this.variablesForInputNode(t);if(e)return t.type()==ps.ATTRIBUTE?[wf.INPUT_NAME]:e.map((t=>t.name()))}variable(t){if(this._variables)for(let e of this._variables)if(e.name()==t)return e}static fromJSON(t){const e=new a1;for(let n of t){const t=o1.fromJSON(n);e.addVariable(t)}return e}toJSON(t){return this._variables?this._variables.map((e=>e.toJSON(t))):[]}}const l1=[\\\\\\\"position\\\\\\\",\\\\\\\"normal\\\\\\\",\\\\\\\"color\\\\\\\",\\\\\\\"uv\\\\\\\"];class c1{constructor(){this._writableAllocations=[],this._readonlyAllocations=[]}static _sortNodes(t){const e=t.filter((t=>t.type()==OF.type())),n=t.filter((t=>t.type()!=OF.type())),i=n.map((t=>t.name())).sort(),s=new Map;for(let t of n)s.set(t.name(),t);for(let t of i){const n=s.get(t);n&&e.push(n)}return e}allocateConnectionsFromRootNodes(t,e){const n=[];t=c1._sortNodes(t),e=c1._sortNodes(e);for(let e of t){const t=e.graphNodeId();switch(e.type()){case OF.type():for(let i of e.io.inputs.namedInputConnectionPoints()){if(e.io.inputs.named_input(i.name())){const e=new o1(i.name(),Wo[i.type()]);e.addGraphNodeId(t),n.push(e)}}break;case wf.type():{const i=e,s=i.connected_input_node(),r=i.connected_input_connection_point();if(s&&r){const e=new o1(i.attribute_name,Wo[r.type()]);e.addGraphNodeId(t),n.push(e)}break}}}for(let t of e){const e=t.graphNodeId();switch(t.type()){case II.type():{const i=t;for(let t of i.io.outputs.used_output_names()){if(l1.includes(t)){const s=i.io.outputs.namedOutputConnectionPointsByName(t);if(s){const i=s.type(),r=new o1(t,Wo[i]);r.addGraphNodeId(e),n.push(r)}}}break}case wf.type():{const i=t,s=i.output_connection_point();if(s){const t=new o1(i.attribute_name,Wo[s.type()]);i.isExporting()||t.setReadonly(!0),t.addGraphNodeId(e),n.push(t)}break}}}this._allocateVariables(n)}_allocateVariables(t){const e=f.sortBy(t,(t=>-t.size())),n=this._ensureVariablesAreUnique(e);for(let t of n)t.readonly()?this._allocateVariable(t,this._readonlyAllocations):this._allocateVariable(t,this._writableAllocations)}_ensureVariablesAreUnique(t){const e=new Map;for(let n of t)h.pushOnArrayAtEntry(e,n.name(),n);const n=[];return e.forEach(((t,e)=>{const i=t[0];n.push(i);for(let e=1;et.shaderName()));return f.uniq(t)}createShaderConfigs(){return[]}allocationForShaderName(t){const e=this._writableAllocations.filter((e=>e.shaderName()==t))[0];return e||this._readonlyAllocations.filter((e=>e.shaderName()==t))[0]}inputNamesForShaderName(t,e){const n=this.allocationForShaderName(e);if(n)return n.inputNamesForNode(t)}variable(t){for(let e of this._writableAllocations){const n=e.variable(t);if(n)return n}for(let e of this._readonlyAllocations){const n=e.variable(t);if(n)return n}}variables(){const t=this._writableAllocations.map((t=>t.variables()||[])).flat(),e=this._writableAllocations.map((t=>t.variables()||[])).flat();return t.concat(e)}hasVariable(t){return this.variables().map((t=>t.name())).includes(t)}static fromJSON(t){const e=new c1;for(let n of t.writable){const t=n[Object.keys(n)[0]],i=a1.fromJSON(t);e._addWritableAllocation(i)}for(let n of t.readonly){const t=n[Object.keys(n)[0]],i=a1.fromJSON(t);e._addReadonlyAllocation(i)}return e}toJSON(t){return{writable:this._writableAllocations.map((e=>({[e.shaderName()]:e.toJSON(t)}))),readonly:this._readonlyAllocations.map((e=>({[e.shaderName()]:e.toJSON(t)})))}}print(t){console.warn(JSON.stringify(this.toJSON(t),[\\\\\\\"\\\\\\\"],2))}}class h1 extends Kf{constructor(t){super(t),this.node=t}toJSON(){const t=this.node.assemblerController;if(!t)return;const e={};this.node.shaders_by_name().forEach(((t,n)=>{e[n]=t}));const n=t.assembler.textureAllocationsController().toJSON(this.node.scene()),i=[],s=new F,r=t.assembler.param_configs();for(let t of r)i.push([t.name(),t.uniform_name]),s.uniforms[t.uniform_name]=t.uniform;const o=this._materialToJson(s,{node:this.node,suffix:\\\\\\\"main\\\\\\\"});return{shaders_by_name:e,texture_allocations:n,param_uniform_pairs:i,uniforms_owner:o||{}}}load(t){li.playerMode()&&(this._loaded_data=t,this.node.init_with_persisted_config())}loaded_data(){return this._loaded_data}shaders_by_name(){if(this._loaded_data){const t=new Map,e=Object.keys(this._loaded_data.shaders_by_name);for(let n of e)t.set(n,this._loaded_data.shaders_by_name[n]);return t}}texture_allocations_controller(){if(this._loaded_data)return c1.fromJSON(this._loaded_data.texture_allocations)}uniforms(){if(this._loaded_data){const t=this._loadMaterial(this._loaded_data.uniforms_owner);return(null==t?void 0:t.uniforms)||{}}}}const u1=new class extends ua{constructor(){super(...arguments),this.startFrame=ha.FLOAT(Nl.START_FRAME,{range:[0,1e3],rangeLocked:[!0,!1]}),this.autoTexturesSize=ha.BOOLEAN(1),this.maxTexturesSize=ha.VECTOR2([1024,1024],{visibleIf:{autoTexturesSize:1}}),this.texturesSize=ha.VECTOR2([64,64],{visibleIf:{autoTexturesSize:0}}),this.dataType=ha.INTEGER(0,{menu:{entries:i1.map(((t,e)=>({value:e,name:t})))}}),this.reset=ha.BUTTON(null,{callback:(t,e)=>{d1.PARAM_CALLBACK_reset(t)}}),this.material=ha.OPERATOR_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.MAT},dependentOnFoundNode:!1})}};class d1 extends uV{constructor(){super(...arguments),this.paramsConfig=u1,this._assembler_controller=this._create_assembler_controller(),this.persisted_config=new h1(this),this.globals_handler=new Q0(Q0.PARTICLE_SIM_UV),this._shaders_by_name=new Map,this.gpuController=new r1(this),this.renderController=new t1(this),this._reset_material_if_dirty_bound=this._reset_material_if_dirty.bind(this),this._children_controller_context=ts.GL}static type(){return\\\\\\\"particlesSystemGpu\\\\\\\"}dispose(){super.dispose(),this.gpuController.dispose()}get assemblerController(){return this._assembler_controller}usedAssembler(){return jn.GL_PARTICLES}_create_assembler_controller(){return li.assemblersRegister.assembler(this,this.usedAssembler())}shaders_by_name(){return this._shaders_by_name}static require_webgl2(){return!0}static PARAM_CALLBACK_reset(t){t.PARAM_CALLBACK_reset()}PARAM_CALLBACK_reset(){this.gpuController.resetGpuComputeAndSetDirty()}static displayedInputNames(){return[\\\\\\\"points to emit particles from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.NEVER),this.addPostDirtyHook(\\\\\\\"_reset_material_if_dirty\\\\\\\",this._reset_material_if_dirty_bound)}createNode(t,e){return super.createNode(t,e)}children(){return super.children()}nodesByType(t){return super.nodesByType(t)}childrenAllowed(){return this.assemblerController?super.childrenAllowed():(this.scene().markAsReadOnly(this),!1)}async _reset_material_if_dirty(){this.p.material.isDirty()&&(this.renderController.reset_render_material(),this.isOnStartFrame()||await this.renderController.init_render_material())}isOnStartFrame(){return this.scene().frame()==this.pv.startFrame}async cook(t){this.gpuController.setRestartNotRequired();const e=t[0];this.compileIfRequired();const n=this.isOnStartFrame();n&&this.gpuController.resetParticleGroups(),this.gpuController.initialized()||await this.gpuController.init(e),this.renderController.initialized()||(this.renderController.init_core_group(e),await this.renderController.init_render_material()),this.gpuController.restartSimulationIfRequired(),this.gpuController.computeSimilationIfRequired(),n?this.setCoreGroup(e):this.cookController.endCook()}async compileIfRequired(){var t;(null===(t=this.assemblerController)||void 0===t?void 0:t.compileRequired())&&await this.run_assembler()}async run_assembler(){const t=this.assemblerController;if(!t)return;const e=this._find_export_nodes();if(e.length>0){const n=e;t.set_assembler_globals_handler(this.globals_handler),t.assembler.set_root_nodes(n),t.assembler.compile(),t.post_compile()}const n=t.assembler.shaders_by_name();this._setShaderNames(n)}_setShaderNames(t){this._shaders_by_name=t,this.gpuController.setShadersByName(this._shaders_by_name),this.renderController.setShadersByName(this._shaders_by_name),this.gpuController.resetGpuCompute(),this.gpuController.resetParticleGroups()}init_with_persisted_config(){const t=this.persisted_config.shaders_by_name(),e=this.persisted_config.texture_allocations_controller();t&&e&&(this._setShaderNames(t),this.gpuController.setPersistedTextureAllocationController(e))}_find_export_nodes(){const t=Df.findAttributeExportNodes(this),e=Df.findOutputNodes(this);if(e.length>1)return this.states.error.set(\\\\\\\"only one output node is allowed\\\\\\\"),[];const n=e[0];return n&&t.push(n),t}}class p1 extends aV{static type(){return\\\\\\\"peak\\\\\\\"}cook(t,e){const n=t[0];let i,s;for(let t of n.objects())t.traverse((t=>{let n;if(null!=(n=t.geometry)){for(s of(i=new fr(n),i.points())){const t=s.normal(),n=s.position().clone().add(t.multiplyScalar(e.amount));s.setPosition(n)}i.geometry().getAttribute(\\\\\\\"position\\\\\\\").needsUpdate=!0}}));return t[0]}}p1.DEFAULT_PARAMS={amount:0};const _1=p1.DEFAULT_PARAMS;const m1=new class extends ua{constructor(){super(...arguments),this.amount=ha.FLOAT(_1.amount,{range:[-1,1]})}};class f1 extends uV{constructor(){super(...arguments),this.paramsConfig=m1}static type(){return\\\\\\\"peak\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}cook(t){this._operation=this._operation||new p1(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const g1=new p.a(0,0,1),v1=new p.a(0,0,1),y1=new p.a(0,1,0);class x1 extends aV{constructor(){super(...arguments),this._core_transform=new bU,this._size=new p.a,this._center=new p.a,this._segmentsCount=new d.a(1,1)}static type(){return\\\\\\\"plane\\\\\\\"}cook(t,e){const n=t[0];return n?this._cook_with_input(n,e):this._cook_without_input(e)}_cook_without_input(t){const e=this._create_plane(t.size,t);this._core_transform.rotateGeometry(e,g1,t.direction);const n=this._core_transform.translationMatrix(t.center);return e.applyMatrix4(n),this.createCoreGroupFromGeometry(e)}_cook_with_input(t,e){const n=t.boundingBox();n.getSize(this._size),n.getCenter(this._center);const i=new d.a(this._size.x,this._size.z),s=this._create_plane(i,e);this._core_transform.rotateGeometry(s,v1,y1);const r=this._core_transform.translationMatrix(this._center);return s.applyMatrix4(r),this.createCoreGroupFromGeometry(s)}_create_plane(t,e){return t=t.clone(),e.useSegmentsCount?(this._segmentsCount.x=Math.floor(e.segments.x),this._segmentsCount.y=Math.floor(e.segments.y)):e.stepSize>0&&(this._segmentsCount.x=Math.floor(t.x/e.stepSize),this._segmentsCount.y=Math.floor(t.y/e.stepSize),t.x=this._segmentsCount.x*e.stepSize,t.y=this._segmentsCount.y*e.stepSize),new L(t.x,t.y,this._segmentsCount.x,this._segmentsCount.y)}}x1.DEFAULT_PARAMS={size:new d.a(1,1),useSegmentsCount:!1,stepSize:1,segments:new d.a(1,1),direction:new p.a(0,1,0),center:new p.a(0,0,0)},x1.INPUT_CLONED_STATE=Qi.NEVER;const b1=x1.DEFAULT_PARAMS;const w1=new class extends ua{constructor(){super(...arguments),this.size=ha.VECTOR2(b1.size),this.useSegmentsCount=ha.BOOLEAN(b1.useSegmentsCount),this.stepSize=ha.FLOAT(b1.stepSize,{range:[.001,1],rangeLocked:[!1,!1],visibleIf:{useSegmentsCount:0}}),this.segments=ha.VECTOR2(b1.segments,{visibleIf:{useSegmentsCount:1}}),this.direction=ha.VECTOR3(b1.direction),this.center=ha.VECTOR3(b1.center)}};class T1 extends uV{constructor(){super(...arguments),this.paramsConfig=w1}static type(){return\\\\\\\"plane\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to create plane from (optional)\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(x1.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new x1(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class A1 extends aV{static type(){return\\\\\\\"playerCapsule\\\\\\\"}cook(t,e){return this.createCoreGroupFromGeometry(Uy(e))}}A1.DEFAULT_PARAMS={radius:.5,height:1};const M1=A1.DEFAULT_PARAMS;const E1=new class extends ua{constructor(){super(...arguments),this.radius=ha.FLOAT(M1.radius,{range:[0,1],rangeLocked:[!0,!1]}),this.height=ha.FLOAT(M1.height,{range:[0,1],rangeLocked:[!0,!1]})}};class S1 extends uV{constructor(){super(...arguments),this.paramsConfig=E1}static type(){return\\\\\\\"playerCapsule\\\\\\\"}initializeNode(){this.io.inputs.setCount(0)}cook(t){this._operation=this._operation||new A1(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const C1=\\\\\\\"position\\\\\\\";const N1=new class extends ua{constructor(){super(...arguments),this.updateX=ha.BOOLEAN(0),this.x=ha.FLOAT(\\\\\\\"@P.x\\\\\\\",{visibleIf:{updateX:1},expression:{forEntities:!0}}),this.updateY=ha.BOOLEAN(0),this.y=ha.FLOAT(\\\\\\\"@P.y\\\\\\\",{visibleIf:{updateY:1},expression:{forEntities:!0}}),this.updateZ=ha.BOOLEAN(0),this.z=ha.FLOAT(\\\\\\\"@P.z\\\\\\\",{visibleIf:{updateZ:1},expression:{forEntities:!0}}),this.updateNormals=ha.BOOLEAN(1)}};class L1 extends uV{constructor(){super(...arguments),this.paramsConfig=N1,this._x_arrays_by_geometry_uuid=new Map,this._y_arrays_by_geometry_uuid=new Map,this._z_arrays_by_geometry_uuid=new Map}static type(){return\\\\\\\"point\\\\\\\"}static displayedInputNames(){return[\\\\\\\"points to move\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}async cook(t){const e=t[0];await this._eval_expressions_for_core_group(e)}async _eval_expressions_for_core_group(t){const e=t.coreObjects();for(let t=0;t{h[t.index()]=e}));else{let t;for(let e=0;e({name:t,value:e})))}}),this.center=ha.VECTOR3(z1.center.toArray()),this.longitude=ha.FLOAT(z1.longitude,{range:[0,360]}),this.latitude=ha.FLOAT(z1.latitude,{range:[-180,180]}),this.depth=ha.FLOAT(z1.depth,{range:[0,10]})}};class U1 extends uV{constructor(){super(...arguments),this.paramsConfig=k1}static type(){return\\\\\\\"polarTransform\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometries or objects to transform\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(B1.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new B1(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class G1{static accumulated_curve_point_indices(t){let e=[];const n=[];let i,s=null;for(let r=0;r{r[t]=[]})),e.forEach(((e,o)=>{const a=t[e];n.forEach((t=>{const e=a.attribValue(t);let n;n=i[t]>1?e.toArray():[e],n.forEach((e=>{r[t].push(e)}))})),o>0&&(s.push(o-1),s.push(o))}));const o=new S.a;return n.forEach((t=>{const e=i[t],n=r[t];o.setAttribute(t,new C.c(n,e))})),o.setIndex(s),o}static line_segment_to_geometries(t){var e;const n=[],i=new fr(t),s=i.attribNames(),r=i.points(),o=(null===(e=t.getIndex())||void 0===e?void 0:e.array)||[],a=this.accumulated_curve_point_indices(o);if(a.length>0){const e=i.attribSizes();a.forEach(((i,o)=>{t=this.create_line_segment_geometry(r,i,s,e),n.push(t)}))}return n}}class V1{constructor(t,e,n){this.geometry=t,this.geometry1=e,this.geometry0=n}process(){const t=new fr(this.geometry0),e=new fr(this.geometry1),n=t.segments(),i=e.segments();if(0===n.length||0===i.length)return;const s=n.length{const n=l[e];p.push(t[0]),p.push(t[1]),p.push(n[0]+u),p.push(t[1]),p.push(n[1]+u),p.push(n[0]+u)}));f.intersection(r.attribNames(),o.attribNames()).forEach((t=>{const e=r.attribSize(t);let n,i=d.map((e=>e.attribValue(t)));n=1==e?i:i.map((t=>t.toArray())).flat(),this.geometry.setAttribute(t,new C.c(n,e))})),this.geometry.setIndex(p),this.geometry.computeVertexNormals()}}const H1=new p.a(0,0,0),j1=new p.a(1,1,1);const W1=new class extends ua{constructor(){super(...arguments),this.radius=ha.FLOAT(1),this.segmentsRadial=ha.INTEGER(8,{range:[3,20],rangeLocked:[!0,!1]}),this.closed=ha.BOOLEAN(0)}};class q1 extends uV{constructor(){super(...arguments),this.paramsConfig=W1,this._core_transform=new bU,this._geometries=[]}static type(){return\\\\\\\"polywire\\\\\\\"}static displayedInputNames(){return[\\\\\\\"lines to create tubes from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.NEVER)}cook(t){const e=t[0];this._geometries=[];for(let t of e.objects())t instanceof Ms.a&&this._create_tube(t);const n=fr.mergeGeometries(this._geometries);for(let t of this._geometries)t.dispose();if(n){const t=this.createObject(n,Ns.MESH);this.setObject(t)}else this.setObjects([])}_create_tube(t){var e;const n=t.geometry,i=new fr(n).points(),s=null===(e=n.getIndex())||void 0===e?void 0:e.array,r=G1.accumulated_curve_point_indices(s);for(let t of r){const e=t.map((t=>i[t]));this._create_tube_from_points(e)}}_create_tube_from_points(t){if(t.length<=1)return;const e=t.map((t=>t.attribValue(\\\\\\\"position\\\\\\\"))),n=JJ.create(this.pv.radius,this.pv.segmentsRadial),i=[];for(let t of e){const e=t,s=this._core_transform.matrix(e,H1,j1,1,xU),r=n.clone();r.applyMatrix4(s),i.push(r)}for(let t=0;t0){const e=i[t],n=i[t-1],s=this._skin(n,e);this._geometries.push(s)}}_skin(t,e){const n=new S.a;return new V1(n,t,e).process(),n}}const X1=\\\\\\\"dist\\\\\\\";class Y1 extends aV{constructor(){super(...arguments),this._matDoubleSideTmpSetter=new xK,this._raycaster=function(){const t=new eO;return t.firstHitOnly=!0,t}(),this._pointPos=new p.a,this._pointNormal=new p.a}static type(){return\\\\\\\"ray\\\\\\\"}cook(t,e){const n=t[0],i=t[1];return this._ray(n,i,e)}_ray(t,e,n){let i,s;this._matDoubleSideTmpSetter.setCoreGroupMaterialDoubleSided(e),n.addDistAttribute&&(t.hasAttrib(X1)||t.addNumericVertexAttrib(X1,1,-1));const r=t.points();for(let t of r)if(t.getPosition(this._pointPos),i=n.direction,n.useNormals&&(t.getNormal(this._pointNormal),i=this._pointNormal),this._raycaster.set(this._pointPos,i),s=this._raycaster.intersectObjects(e.objects(),!0)[0],s){if(n.transformPoints&&t.setPosition(s.point),n.addDistAttribute){const e=this._pointPos.distanceTo(s.point);console.log(e),t.setAttribValue(X1,e)}n.transferFaceNormals&&s.face&&t.setNormal(s.face.normal)}return this._matDoubleSideTmpSetter.restoreMaterialSideProperty(e),t}}Y1.DEFAULT_PARAMS={useNormals:!0,direction:new p.a(0,-1,0),transformPoints:!0,transferFaceNormals:!0,addDistAttribute:!1},Y1.INPUT_CLONED_STATE=[Qi.FROM_NODE,Qi.NEVER];const $1=Y1.DEFAULT_PARAMS;const J1=new class extends ua{constructor(){super(...arguments),this.useNormals=ha.BOOLEAN($1.useNormals),this.direction=ha.VECTOR3($1.direction.toArray(),{visibleIf:{useNormals:0}}),this.transformPoints=ha.BOOLEAN($1.transformPoints),this.transferFaceNormals=ha.BOOLEAN($1.transferFaceNormals),this.addDistAttribute=ha.BOOLEAN($1.addDistAttribute)}};class Z1 extends uV{constructor(){super(...arguments),this.paramsConfig=J1}static type(){return\\\\\\\"ray\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to move\\\\\\\",\\\\\\\"geometry to ray onto\\\\\\\"]}initializeNode(){this.io.inputs.setCount(2),this.io.inputs.initInputsClonedState(Y1.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new Y1(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const K1={color:{value:null},tDiffuse:{value:null},textureMatrix:{value:null},opacity:{value:.5}},Q1=\\\\\\\"uniform mat4 textureMatrix;\\\\nvarying vec4 vUv;\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvUv = textureMatrix * vec4( position, 1.0 );\\\\n\\\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\\\n\\\\n}\\\\\\\",t2=\\\\\\\"uniform vec3 color;\\\\nuniform sampler2D tDiffuse;\\\\nvarying vec4 vUv;\\\\nuniform float opacity;\\\\n\\\\nfloat blendOverlay( float base, float blend ) {\\\\n\\\\n\\\\treturn( base < 0.5 ? ( 2.0 * base * blend ) : ( 1.0 - 2.0 * ( 1.0 - base ) * ( 1.0 - blend ) ) );\\\\n\\\\n}\\\\n\\\\nvec3 blendOverlay( vec3 base, vec3 blend ) {\\\\n\\\\n\\\\treturn vec3( blendOverlay( base.r, blend.r ), blendOverlay( base.g, blend.g ), blendOverlay( base.b, blend.b ) );\\\\n\\\\n}\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvec4 base = texture2DProj( tDiffuse, vUv );\\\\n\\\\tgl_FragColor = vec4( blendOverlay( base.rgb, color ), opacity );\\\\n\\\\n}\\\\\\\",e2={minFilter:w.V,magFilter:w.V,format:w.ic};class n2 extends B.a{constructor(t,e){super(),this.geometry=t,this._options=e,this.type=\\\\\\\"Reflector\\\\\\\",this.reflectorPlane=new Y.a,this.normal=new p.a,this.reflectorWorldPosition=new p.a,this.cameraWorldPosition=new p.a,this.rotationMatrix=new A.a,this.lookAtPosition=new p.a(0,0,-1),this.clipPlane=new _.a,this.view=new p.a,this.target=new p.a,this.q=new _.a,this.textureMatrix=new A.a,this.virtualCamera=new tt.a,this.onBeforeRender=this._onBeforeRender.bind(this),this._onWindowResizeBound=this._onWindowResize.bind(this);const{width:n,height:i}=this._getRendererSize(this._options.renderer);this.renderTarget=new K(n,i,e2),Object(On.i)(n)&&Object(On.i)(i)||(this.renderTarget.texture.generateMipmaps=!1),this._coreRenderBlur=new OG(new d.a(n,i)),this.material=new F({uniforms:I.clone(K1),fragmentShader:t2,vertexShader:Q1}),this.material.uniforms.tDiffuse.value=this.renderTarget.texture,this.material.uniforms.color.value=this._options.color,this.material.uniforms.textureMatrix.value=this.textureMatrix,this.material.uniforms.opacity.value=this._options.opacity,this.material.transparent=this._options.opacity<1,this._addWindowResizeEvent()}_addWindowResizeEvent(){window.addEventListener(\\\\\\\"resize\\\\\\\",this._onWindowResizeBound.bind(this),!1)}_removeWindowResizeEvent(){window.removeEventListener(\\\\\\\"resize\\\\\\\",this._onWindowResizeBound.bind(this),!1)}_onWindowResize(){this.traverseAncestors((t=>{t.parent||t.uuid!=this._options.scene.uuid&&this._removeWindowResizeEvent()}));const{width:t,height:e}=this._getRendererSize(this._options.renderer);this.renderTarget.setSize(t,e),this._coreRenderBlur.setSize(t,e)}_getRendererSize(t){const e=t.domElement;return{width:e.width*this._options.pixelRatio,height:e.height*this._options.pixelRatio}}_onBeforeRender(t,e,n,i,s,r){if(!this._options.active)return;const o=n;if(this.reflectorWorldPosition.setFromMatrixPosition(this.matrixWorld),this.cameraWorldPosition.setFromMatrixPosition(o.matrixWorld),this.rotationMatrix.extractRotation(this.matrixWorld),this.normal.set(0,0,1),this.normal.applyMatrix4(this.rotationMatrix),this.view.subVectors(this.reflectorWorldPosition,this.cameraWorldPosition),!(this.view.dot(this.normal)>0)){this.view.reflect(this.normal).negate(),this.view.add(this.reflectorWorldPosition),this.rotationMatrix.extractRotation(o.matrixWorld),this.lookAtPosition.set(0,0,-1),this.lookAtPosition.applyMatrix4(this.rotationMatrix),this.lookAtPosition.add(this.cameraWorldPosition),this.target.subVectors(this.reflectorWorldPosition,this.lookAtPosition),this.target.reflect(this.normal).negate(),this.target.add(this.reflectorWorldPosition),this.virtualCamera.position.copy(this.view),this.virtualCamera.up.set(0,1,0),this.virtualCamera.up.applyMatrix4(this.rotationMatrix),this.virtualCamera.up.reflect(this.normal),this.virtualCamera.lookAt(this.target),this.virtualCamera.far=o.far,this.virtualCamera.updateMatrixWorld(),this.virtualCamera.projectionMatrix.copy(o.projectionMatrix),this.textureMatrix.set(.5,0,0,.5,0,.5,0,.5,0,0,.5,.5,0,0,0,1),this.textureMatrix.multiply(this.virtualCamera.projectionMatrix),this.textureMatrix.multiply(this.virtualCamera.matrixWorldInverse),this.textureMatrix.multiply(this.matrixWorld),this.reflectorPlane.setFromNormalAndCoplanarPoint(this.normal,this.reflectorWorldPosition),this.reflectorPlane.applyMatrix4(this.virtualCamera.matrixWorldInverse),this.clipPlane.set(this.reflectorPlane.normal.x,this.reflectorPlane.normal.y,this.reflectorPlane.normal.z,this.reflectorPlane.constant);var a=this.virtualCamera.projectionMatrix;this.q.x=(Math.sign(this.clipPlane.x)+a.elements[8])/a.elements[0],this.q.y=(Math.sign(this.clipPlane.y)+a.elements[9])/a.elements[5],this.q.z=-1,this.q.w=(1+a.elements[10])/a.elements[14],this.clipPlane.multiplyScalar(2/this.clipPlane.dot(this.q)),a.elements[2]=this.clipPlane.x,a.elements[6]=this.clipPlane.y,a.elements[10]=this.clipPlane.z+1-this._options.clipBias,a.elements[14]=this.clipPlane.w,this.renderTarget.texture.encoding=t.outputEncoding,this.visible=!1;var l=t.getRenderTarget(),c=t.xr.enabled,h=t.shadowMap.autoUpdate;if(t.xr.enabled=!1,t.shadowMap.autoUpdate=!1,t.setRenderTarget(this.renderTarget),t.state.buffers.depth.setMask(!0),!1===t.autoClear&&t.clear(),t.render(e,this.virtualCamera),this._options.tblur){const e=this._options.blur*this._options.pixelRatio,n=e*this._options.verticalBlurMult;if(this._coreRenderBlur.applyBlur(this.renderTarget,t,e,n),this._options.tblur2){const e=this._options.blur2*this._options.pixelRatio,n=e*this._options.verticalBlur2Mult;this._coreRenderBlur.applyBlur(this.renderTarget,t,e,n)}}t.xr.enabled=c,t.shadowMap.autoUpdate=h,t.setRenderTarget(l);var u=o.viewport;void 0!==u&&t.state.viewport(u),this.visible=!0}}}class i2 extends aV{static type(){return\\\\\\\"reflector\\\\\\\"}async cook(t,e){const n=t[0],i=[],s=await li.renderersController.firstRenderer();if(!s)return this.createCoreGroupFromObjects(i);const r=n.objectsWithGeo();for(let t of r){const n=new n2(t.geometry,{clipBias:e.clipBias,renderer:s,scene:this.scene().threejsScene(),pixelRatio:e.pixelRatio,color:e.color,opacity:e.opacity,active:e.active,tblur:e.tblur,blur:e.blur,verticalBlurMult:e.verticalBlurMult,tblur2:e.tblur2,blur2:e.blur2,verticalBlur2Mult:e.verticalBlur2Mult});n.position.copy(t.position),n.rotation.copy(t.rotation),n.scale.copy(t.scale),n.updateMatrix(),i.push(n)}return this.createCoreGroupFromObjects(i)}}i2.DEFAULT_PARAMS={active:!0,clipBias:.003,color:new D.a(1,1,1),opacity:1,pixelRatio:1,tblur:!1,blur:1,verticalBlurMult:1,tblur2:!1,blur2:1,verticalBlur2Mult:1},i2.INPUT_CLONED_STATE=Qi.NEVER;const s2=i2.DEFAULT_PARAMS;const r2=new class extends ua{constructor(){super(...arguments),this.active=ha.BOOLEAN(s2.active),this.clipBias=ha.FLOAT(s2.clipBias),this.color=ha.COLOR(s2.color.toArray()),this.opacity=ha.FLOAT(s2.opacity),this.pixelRatio=ha.INTEGER(s2.pixelRatio,{range:[1,4],rangeLocked:[!0,!1]}),this.tblur=ha.BOOLEAN(s2.tblur),this.blur=ha.FLOAT(s2.blur,{visibleIf:{tblur:1}}),this.verticalBlurMult=ha.FLOAT(s2.verticalBlurMult,{visibleIf:{tblur:1}}),this.tblur2=ha.BOOLEAN(s2.tblur2,{visibleIf:{tblur:1}}),this.blur2=ha.FLOAT(s2.blur2,{visibleIf:{tblur:1,tblur2:1}}),this.verticalBlur2Mult=ha.FLOAT(s2.verticalBlur2Mult,{visibleIf:{tblur:1,tblur2:1}})}};class o2 extends uV{constructor(){super(...arguments),this.paramsConfig=r2}static type(){return\\\\\\\"reflector\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to create a reflector from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(i2.INPUT_CLONED_STATE)}async cook(t){this._operation=this._operation||new i2(this._scene,this.states);const e=await this._operation.cook(t,this.pv);this.setCoreGroup(e)}}var a2=n(85);var l2;!function(t){t.POINTS_COUNT=\\\\\\\"pointsCount\\\\\\\",t.SEGMENT_LENGTH=\\\\\\\"segmentLength\\\\\\\"}(l2||(l2={}));const c2=[l2.POINTS_COUNT,l2.SEGMENT_LENGTH];var h2;!function(t){t.CENTRIPETAL=\\\\\\\"centripetal\\\\\\\",t.CHORDAL=\\\\\\\"chordal\\\\\\\",t.CATMULLROM=\\\\\\\"catmullrom\\\\\\\"}(h2||(h2={}));const u2=[h2.CENTRIPETAL,h2.CHORDAL,h2.CATMULLROM];const d2=new class extends ua{constructor(){super(...arguments),this.method=ha.INTEGER(c2.indexOf(l2.POINTS_COUNT),{menu:{entries:c2.map(((t,e)=>({name:t,value:e})))}}),this.curveType=ha.INTEGER(u2.indexOf(h2.CATMULLROM),{range:[0,2],rangeLocked:[!0,!0],menu:{entries:u2.map(((t,e)=>({name:t,value:e})))}}),this.tension=ha.FLOAT(.01,{range:[0,1],rangeLocked:[!0,!0]}),this.pointsCount=ha.INTEGER(100,{visibleIf:{method:c2.indexOf(l2.POINTS_COUNT)},range:[1,1e3],rangeLocked:[!0,!1]}),this.segmentLength=ha.FLOAT(1,{visibleIf:{method:c2.indexOf(l2.SEGMENT_LENGTH)}})}};class p2 extends uV{constructor(){super(...arguments),this.paramsConfig=d2}static type(){return\\\\\\\"resample\\\\\\\"}initializeNode(){this.io.inputs.setCount(1)}cook(t){const e=t[0],n=[];if(this.pv.pointsCount>=2){const t=e.coreObjects();for(let e=0;ei[t])),n=this._create_curve_from_points(e);n&&o.push(n)}const a=ur(o);return this.createObject(a,Ns.LINE_SEGMENTS)}_create_curve_from_points(t){if(t.length<=1)return;const e=t.map((t=>t.attribValue(\\\\\\\"position\\\\\\\"))),n=u2[this.pv.curveType],i=this.pv.tension,s=new a2.a(e,!1,n,i),r=this._get_points_from_curve(s);let o=[];const a=[];for(let t=0;t0&&(a.push(t-1),a.push(t))}const l=new S.a;return l.setAttribute(\\\\\\\"position\\\\\\\",new C.c(o.flat(),3)),l.setIndex(a),l}_get_points_from_curve(t){const e=c2[this.pv.method];switch(e){case l2.POINTS_COUNT:return t.getSpacedPoints(Math.max(2,this.pv.pointsCount));case l2.SEGMENT_LENGTH:var n=t.getLength(),i=0!==this.pv.segmentLength?1+n/this.pv.segmentLength:2;return i=Math.max(2,i),t.getSpacedPoints(i)}os.unreachable(e)}}class _2 extends aV{static type(){return\\\\\\\"restAttributes\\\\\\\"}cook(t,e){const n=t[0].objectsWithGeo();return e.tposition&&this._create_rest_attribute(n,e.position,e.restP),e.tnormal&&this._create_rest_attribute(n,e.normal,e.restN),this.createCoreGroupFromObjects(n)}_create_rest_attribute(t,e,n){for(let i of t){const t=i.geometry;if(t){const i=t.getAttribute(e);i&&t.setAttribute(n,i.clone())}}}}_2.DEFAULT_PARAMS={tposition:!0,position:\\\\\\\"position\\\\\\\",restP:\\\\\\\"restP\\\\\\\",tnormal:!0,normal:\\\\\\\"normal\\\\\\\",restN:\\\\\\\"restN\\\\\\\"};const m2=_2.DEFAULT_PARAMS;const f2=new class extends ua{constructor(){super(...arguments),this.tposition=ha.BOOLEAN(m2.tposition),this.position=ha.STRING(m2.position,{visibleIf:{tposition:!0}}),this.restP=ha.STRING(m2.restP,{visibleIf:{tposition:!0}}),this.tnormal=ha.BOOLEAN(m2.tnormal),this.normal=ha.STRING(m2.normal,{visibleIf:{tnormal:!0}}),this.restN=ha.STRING(m2.restN,{visibleIf:{tnormal:!0}})}};class g2 extends uV{constructor(){super(...arguments),this.paramsConfig=f2}static type(){return\\\\\\\"restAttributes\\\\\\\"}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState([Qi.FROM_NODE])}cook(t){this._operation=this._operation||new _2(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class v2 extends aV{constructor(){super(...arguments),this._core_transform=new bU}static type(){return\\\\\\\"roundedBox\\\\\\\"}cook(t,e){const n=t[0],i=n?this._cook_with_input(n,e):this._cook_without_input(e);return this.createCoreGroupFromGeometry(i)}_cook_without_input(t){const e=t.size,n=new ky(e.x,e.y,e.z,t.divisions,t.bevel);return n.translate(t.center.x,t.center.y,t.center.z),n.computeVertexNormals(),n}_cook_with_input(t,e){const n=e.divisions,i=t.boundingBox(),s=i.max.clone().sub(i.min),r=i.max.clone().add(i.min).multiplyScalar(.5),o=new ky(s.x,s.y,s.z,n,e.bevel),a=this._core_transform.translationMatrix(r);return o.applyMatrix4(a),o}}v2.DEFAULT_PARAMS={size:new p.a(1,1,1),divisions:2,bevel:.1,center:new p.a(0,0,0)},v2.INPUT_CLONED_STATE=Qi.NEVER;const y2=v2.DEFAULT_PARAMS;const x2=new class extends ua{constructor(){super(...arguments),this.size=ha.VECTOR3(y2.size),this.divisions=ha.INTEGER(y2.divisions,{range:[1,10],rangeLocked:[!0,!1]}),this.bevel=ha.FLOAT(y2.bevel,{range:[0,1],rangeLocked:[!0,!1]}),this.center=ha.VECTOR3(y2.center)}};class b2 extends uV{constructor(){super(...arguments),this.paramsConfig=x2}static type(){return\\\\\\\"roundedBox\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to create bounding box from (optional)\\\\\\\"]}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(v2.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new v2(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class w2 extends aV{static type(){return\\\\\\\"scatter\\\\\\\"}async cook(t,e){const n=t[0];let i=n.faces();const s=[];let r=0;const o=new Map;for(let t of i){const e=t.area();o.set(t.index(),e)}const a=f.sortBy(i,(t=>o.get(t.index())||-1));let l=0;for(let t of a)r+=o.get(t.index()),s[l]=r,l++;const c=[];let h=[];e.transferAttributes&&(h=n.attribNamesMatchingMask(e.attributesToTransfer));const u=new Map,d=new Map;for(let t of h)u.set(t,[]),d.set(t,n.attribSize(t));const p=new CX,_=2454*e.seed%Number.MAX_SAFE_INTEGER;await p.startWithCount(e.pointsCount,(t=>{const e=or.randFloat(_+t)*r;for(let t=0;te/(t-1)));e.addIdnAttribute&&g.setAttribute(\\\\\\\"idn\\\\\\\",new C.a(new Float32Array(i),1))}const v=this.createObject(g,Ns.POINTS);return this.createCoreGroupFromObjects([v])}}w2.DEFAULT_PARAMS={pointsCount:100,seed:0,transferAttributes:!0,attributesToTransfer:\\\\\\\"normal\\\\\\\",addIdAttribute:!0,addIdnAttribute:!0},w2.INPUT_CLONED_STATE=Qi.FROM_NODE;const T2=w2.DEFAULT_PARAMS;const A2=new class extends ua{constructor(){super(...arguments),this.pointsCount=ha.INTEGER(T2.pointsCount,{range:[0,100],rangeLocked:[!0,!1]}),this.seed=ha.INTEGER(T2.seed,{range:[0,100],rangeLocked:[!1,!1]}),this.transferAttributes=ha.BOOLEAN(T2.transferAttributes),this.attributesToTransfer=ha.STRING(T2.attributesToTransfer,{visibleIf:{transferAttributes:1}}),this.addIdAttribute=ha.BOOLEAN(T2.addIdAttribute),this.addIdnAttribute=ha.BOOLEAN(T2.addIdnAttribute)}};class M2 extends uV{constructor(){super(...arguments),this.paramsConfig=A2}static type(){return\\\\\\\"scatter\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to scatter points onto\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(Qi.NEVER)}async cook(t){this._operation=this._operation||new w2(this.scene(),this.states);const e=await this._operation.cook(t,this.pv);this.setCoreGroup(e)}}var E2;!function(t){t.MATRIX=\\\\\\\"matrix\\\\\\\",t.AXIS=\\\\\\\"axis\\\\\\\"}(E2||(E2={}));const S2=[E2.MATRIX,E2.AXIS];var C2;!function(t){t.BBOX_CENTER=\\\\\\\"bbox center\\\\\\\",t.BBOX_CENTER_OFFSET=\\\\\\\"bbox center offset\\\\\\\",t.CUSTOM=\\\\\\\"custom\\\\\\\"}(C2||(C2={}));const N2=[C2.BBOX_CENTER,C2.BBOX_CENTER_OFFSET,C2.CUSTOM];class L2 extends aV{constructor(){super(...arguments),this._m4=new A.a,this._axisNormalized=new p.a,this._center=new p.a,this._pointPos=new p.a,this._axisPlane=new Y.a,this._pointOnPlane=new p.a,this._delta=new p.a,this._deltaNormalized=new p.a,this._offset=new p.a}static type(){return\\\\\\\"shear\\\\\\\"}cook(t,e){const n=t[0].objects();return this._applyShear(n,e),t[0]}_applyShear(t,e){const n=S2[e.mode];switch(n){case E2.MATRIX:return this._applyMatrixShear(t,e);case E2.AXIS:return this._applyAxisShear(t,e)}os.unreachable(n)}_applyMatrixShear(t,e){this._m4.makeShear(e.xy,e.xz,e.yx,e.yz,e.zx,e.zy);for(let e of t){const t=e.geometry;t&&t.applyMatrix4(this._m4)}}_applyAxisShear(t,e){this._axisNormalized.copy(e.axis),this._axisNormalized.normalize();for(let n of t){const t=n.geometry;if(t){this._getAxisModeCenter(t,e),this._axisPlane.setFromNormalAndCoplanarPoint(e.planeAxis,this._center);const n=new fr(t).points();for(let t of n){t.getPosition(this._pointPos),this._axisPlane.projectPoint(this._pointPos,this._pointOnPlane),this._delta.copy(this._pointOnPlane).sub(this._pointPos);const n=this._delta.length();this._deltaNormalized.copy(this._delta).normalize(),this._offset.copy(this._axisNormalized).multiplyScalar(e.axisAmount*n),this._delta.dot(e.planeAxis)>0&&this._offset.multiplyScalar(-1),this._pointPos.add(this._offset),t.setPosition(this._pointPos)}}}}_getAxisModeCenter(t,e){const n=N2[e.centerMode];switch(n){case C2.BBOX_CENTER:return this._getAxisModeCenterBbox(t,e);case C2.BBOX_CENTER_OFFSET:return this._getAxisModeCenterBboxOffset(t,e);case C2.CUSTOM:return this._getAxisModeCenterCustom(e)}os.unreachable(n)}_getAxisModeCenterBbox(t,e){t.computeBoundingBox();const n=t.boundingBox;n?n.getCenter(this._center):this._center.set(0,0,0)}_getAxisModeCenterBboxOffset(t,e){this._getAxisModeCenterBbox(t,e),this._center.add(e.centerOffset)}_getAxisModeCenterCustom(t){return this._center.copy(t.center)}}var O2;L2.DEFAULT_PARAMS={mode:S2.indexOf(E2.AXIS),xy:0,xz:0,yx:0,yz:0,zx:0,zy:0,centerMode:N2.indexOf(C2.BBOX_CENTER),centerOffset:new p.a(0,0,0),center:new p.a(0,0,0),planeAxis:new p.a(0,0,1),axis:new p.a(0,1,0),axisAmount:0},L2.INPUT_CLONED_STATE=Qi.FROM_NODE,function(t){t.SHEAR=\\\\\\\"shear\\\\\\\",t.TRANSFORM=\\\\\\\"transform\\\\\\\",t.UV_LAYOUT=\\\\\\\"uvLayout\\\\\\\",t.UV_TRANSFORM=\\\\\\\"uvTransform\\\\\\\",t.UV_UNWRAP=\\\\\\\"uvUnwrap\\\\\\\"}(O2||(O2={}));const P2=L2.DEFAULT_PARAMS;const R2=new class extends ua{constructor(){super(...arguments),this.mode=ha.INTEGER(P2.mode,{menu:{entries:S2.map(((t,e)=>({name:t,value:e})))}}),this.xy=ha.FLOAT(P2.xy,{visibleIf:{mode:S2.indexOf(E2.MATRIX)}}),this.xz=ha.FLOAT(P2.xz,{visibleIf:{mode:S2.indexOf(E2.MATRIX)}}),this.yx=ha.FLOAT(P2.yx,{visibleIf:{mode:S2.indexOf(E2.MATRIX)}}),this.yz=ha.FLOAT(P2.yz,{visibleIf:{mode:S2.indexOf(E2.MATRIX)}}),this.zx=ha.FLOAT(P2.zx,{visibleIf:{mode:S2.indexOf(E2.MATRIX)}}),this.zy=ha.FLOAT(P2.zy,{visibleIf:{mode:S2.indexOf(E2.MATRIX)}}),this.centerMode=ha.INTEGER(P2.centerMode,{visibleIf:{mode:S2.indexOf(E2.AXIS)},menu:{entries:N2.map(((t,e)=>({name:t,value:e})))}}),this.centerOffset=ha.VECTOR3(P2.centerOffset.toArray(),{visibleIf:{mode:S2.indexOf(E2.AXIS),centerMode:N2.indexOf(C2.BBOX_CENTER_OFFSET)}}),this.center=ha.VECTOR3(P2.center.toArray(),{visibleIf:{mode:S2.indexOf(E2.AXIS),centerMode:N2.indexOf(C2.CUSTOM)}}),this.planeAxis=ha.VECTOR3(P2.planeAxis.toArray(),{visibleIf:{mode:S2.indexOf(E2.AXIS)}}),this.axis=ha.VECTOR3(P2.axis.toArray(),{visibleIf:{mode:S2.indexOf(E2.AXIS)}}),this.axisAmount=ha.FLOAT(P2.axisAmount,{range:[-1,1],visibleIf:{mode:S2.indexOf(E2.AXIS)}})}};class I2 extends uV{constructor(){super(...arguments),this.paramsConfig=R2}static type(){return O2.SHEAR}static displayedInputNames(){return[\\\\\\\"geometries or objects to transform\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(L2.INPUT_CLONED_STATE)}setMode(t){this.p.mode.set(S2.indexOf(t))}cook(t){this._operation=this._operation||new L2(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const F2=new class extends ua{};class D2 extends uV{constructor(){super(...arguments),this.paramsConfig=F2}static type(){return\\\\\\\"skin\\\\\\\"}static displayedInputNames(){return[\\\\\\\"lines to create polygons from\\\\\\\",\\\\\\\"if used, lines from both inputs will be used\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1,2)}cook(t){switch(f.compact(this.io.inputs.inputs()).length){case 1:return this.process_one_input(t);case 2:return this.process_two_inputs(t);default:return this.states.error.set(\\\\\\\"inputs count not valid\\\\\\\")}}process_one_input(t){const e=t[0],n=this._get_line_segments(e),i=[];if(n){const t=n[0];if(t){const e=G1.line_segment_to_geometries(t.geometry);e.forEach(((t,n)=>{if(n>0){const s=e[n-1],r=this._skin(s,t);i.push(r)}}))}}this.setGeometries(i)}process_two_inputs(t){const e=t[0],n=t[1],i=this._get_line_segments(e),s=this._get_line_segments(n),r=f.sortBy([i,s],(t=>-t.length)),o=r[0],a=r[1],l=[];o.forEach(((t,e)=>{const n=a[e];if(null!=t&&null!=n){const e=t.geometry,i=n.geometry,s=this._skin(e,i);l.push(s)}})),this.setGeometries(l)}_get_line_segments(t){return t.objects().filter((t=>t.isLineSegments))}_skin(t,e){const n=new S.a;return new V1(n,t,e).process(),n}}var B2;!function(t){t.X=\\\\\\\"x\\\\\\\",t.Y=\\\\\\\"y\\\\\\\",t.Z=\\\\\\\"z\\\\\\\"}(B2||(B2={}));const z2=[B2.X,B2.Y,B2.Z];class k2 extends aV{constructor(){super(...arguments),this._pointPos=new p.a,this._positions=[],this._indicesByPos=new Map,this._indexDest=new Map,this._debugActive=!1}static type(){return\\\\\\\"sort\\\\\\\"}cook(t,e){const n=t[0],i=n.objectsWithGeo();for(let t of i)this._sortObject(t,e);return n}_debug(t){this._debugActive}_sortObject(t,e){const n=new br(t,0).points(),i=t.geometry.getIndex();if(!i)return void console.warn(\\\\\\\"geometry cannot be sorted since it has no index\\\\\\\");const s=i.array;this._positions=new Array(n.length),this._indicesByPos.clear(),this._indexDest.clear();const r=z2[e.axis];let o=0,a=0;for(let t of n){switch(t.getPosition(this._pointPos),r){case B2.X:o=this._pointPos.x;break;case B2.Y:o=this._pointPos.y;break;case B2.Z:o=this._pointPos.z}this._positions[a]=o,h.pushOnArrayAtEntry(this._indicesByPos,o,t.index()),a++}let l=this._positions.sort(((t,e)=>t-e));e.invert&&l.reverse();const c=new Array(n.length);a=0;const u=f.uniq(l);for(let t of u){const e=this._indicesByPos.get(t);if(e)for(let t of e)c[a]=t,this._indexDest.set(t,a),a++}const d=new Array(s.length);for(let t=0;t ${e}`),null!=e)for(let n=0;n({name:t,value:e})))}}),this.invert=ha.BOOLEAN(U2.invert)}};class V2 extends uV{constructor(){super(...arguments),this.paramsConfig=G2}static type(){return\\\\\\\"sort\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to sort\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState([Qi.FROM_NODE])}cook(t){this._operation=this._operation||new k2(this._scene,this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const H2=new class extends ua{constructor(){super(...arguments),this.startFrame=ha.INTEGER(Nl.START_FRAME)}};class j2 extends _V{constructor(){super(...arguments),this.paramsConfig=H2,this._last_simulated_frame=null,this.childrenDisplayController=new fV(this,{dependsOnDisplayNode:!1}),this.displayNodeController=new Fm(this,{onDisplayNodeRemove:()=>{},onDisplayNodeSet:()=>{},onDisplayNodeUpdate:()=>{}},{dependsOnDisplayNode:!1})}static type(){return\\\\\\\"solver\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,4),this.io.inputs.initInputsClonedState(Qi.NEVER),this.addGraphInput(this.scene().timeController.graphNode)}previousFrameCoreGroup(){return this._previousFrameCoreGroup}async cook(t){this.pv.startFrame==this.scene().frame()&&this._reset(),this.computeSolverIfRequired()}_reset(){this._previousFrameCoreGroup=void 0,this._last_simulated_frame=null}computeSolverIfRequired(){const t=this.scene().frame(),e=this.pv.startFrame;t>=e&&(null==this._last_simulated_frame&&(this._last_simulated_frame=e-1),t>this._last_simulated_frame&&this._computeSolverMultipleTimes(t-this._last_simulated_frame))}_computeSolverMultipleTimes(t=1){for(let e=0;e({name:t,value:Y2[t]})))}}),this.radius=ha.FLOAT(Z2.radius,{visibleIf:{type:Y2.default}}),this.resolution=ha.VECTOR2(Z2.resolution,{visibleIf:{type:Y2.default}}),this.open=ha.BOOLEAN(Z2.open,{visibleIf:{type:Y2.default}}),this.phiStart=ha.FLOAT(Z2.phiStart,{range:[0,2*Math.PI],visibleIf:{type:Y2.default,open:!0}}),this.phiLength=ha.FLOAT(\\\\\\\"$PI*2\\\\\\\",{range:[0,2*Math.PI],visibleIf:{type:Y2.default,open:!0}}),this.thetaStart=ha.FLOAT(Z2.thetaStart,{range:[0,Math.PI],visibleIf:{type:Y2.default,open:!0}}),this.thetaLength=ha.FLOAT(\\\\\\\"$PI\\\\\\\",{range:[0,Math.PI],visibleIf:{type:Y2.default,open:!0}}),this.detail=ha.INTEGER(Z2.detail,{range:[0,5],rangeLocked:[!0,!1],visibleIf:{type:Y2.isocahedron}}),this.center=ha.VECTOR3(Z2.center)}};class Q2 extends uV{constructor(){super(...arguments),this.paramsConfig=K2}static type(){return\\\\\\\"sphere\\\\\\\"}initializeNode(){this.io.inputs.setCount(0,1),this.io.inputs.initInputsClonedState(J2.INPUT_CLONED_STATE)}cook(t){this._operation=this._operation||new J2(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const t9=new class extends ua{constructor(){super(...arguments),this.attribType=ha.INTEGER(ks.indexOf(zs.NUMERIC),{menu:{entries:Us}}),this.attribName=ha.STRING(\\\\\\\"\\\\\\\")}};class e9 extends uV{constructor(){super(...arguments),this.paramsConfig=t9,this._new_objects=[]}static type(){return\\\\\\\"split\\\\\\\"}static displayedInputNames(){return[\\\\\\\"geometry to split in multiple objects\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1)}async cook(t){const e=t[0];this._new_objects=[],\\\\\\\"\\\\\\\"!=this.pv.attribName&&this._split_core_group(e),this.setObjects(this._new_objects)}async _split_core_group(t){const e=t.coreObjects();for(let t of e)this._split_core_object(t)}_split_core_object(t){let e=t.coreGeometry(),n=this.pv.attribName,i=new Map;if(e){const s=t.object(),r=e.pointsFromGeometry(),o=r[0];if(o){if(o.attribSize(n)!=Gs.FLOAT&&!o.isAttribIndexed(n))return void this.states.error.set(`attrib '${n}' must be a float or a string`);let t;if(o.isAttribIndexed(n))for(let e of r)t=e.indexedAttribValue(n),h.pushOnArrayAtEntry(i,t,e);else for(let e of r)t=e.attribValue(n),h.pushOnArrayAtEntry(i,t,e)}const a=Os(s.constructor);i.forEach(((t,e)=>{const i=fr.geometryFromPoints(t,a);if(i){const t=this.createObject(i,a);br.addAttribute(t,n,e),this._new_objects.push(t)}}))}}}const n9=new A.a,i9=new Q.a,s9=new p.a;class r9 extends J.a{constructor(){super(),this.uuid=On.h(),this.name=\\\\\\\"\\\\\\\",this.type=\\\\\\\"Geometry\\\\\\\",this.vertices=[],this.colors=[],this.faces=[],this.faceVertexUvs=[[]],this.morphTargets=[],this.morphNormals=[],this.skinWeights=[],this.skinIndices=[],this.lineDistances=[],this.boundingBox=null,this.boundingSphere=null,this.elementsNeedUpdate=!1,this.verticesNeedUpdate=!1,this.uvsNeedUpdate=!1,this.normalsNeedUpdate=!1,this.colorsNeedUpdate=!1,this.lineDistancesNeedUpdate=!1,this.groupsNeedUpdate=!1}applyMatrix4(t){const e=(new G.a).getNormalMatrix(t);for(let e=0,n=this.vertices.length;e0)for(let t=0;t0&&(this.normalsNeedUpdate=!0)}computeFlatVertexNormals(){this.computeFaceNormals();for(let t=0,e=this.faces.length;t0&&(this.normalsNeedUpdate=!0)}computeMorphNormals(){for(let t=0,e=this.faces.length;t=0;t--){const e=r[t];this.faces.splice(e,1);for(let t=0,n=this.faceVertexUvs.length;t0,a=e.vertexNormals.length>0,l=1!==e.color.r||1!==e.color.g||1!==e.color.b,p=e.vertexColors.length>0;let _=0;if(_=c(_,0,0),_=c(_,1,i),_=c(_,2,s),_=c(_,3,r),_=c(_,4,o),_=c(_,5,a),_=c(_,6,l),_=c(_,7,p),n.push(_),n.push(e.a,e.b,e.c),n.push(e.materialIndex),r){const e=this.faceVertexUvs[0][t];n.push(d(e[0]),d(e[1]),d(e[2]))}if(o&&n.push(h(e.normal)),a){const t=e.vertexNormals;n.push(h(t[0]),h(t[1]),h(t[2]))}if(l&&n.push(u(e.color)),p){const t=e.vertexColors;n.push(u(t[0]),u(t[1]),u(t[2]))}}function c(t,e,n){return n?t|1<0&&(t.data.colors=r),a.length>0&&(t.data.uvs=[a]),t.data.faces=n,t}clone(){return(new r9).copy(this)}copy(t){this.vertices=[],this.colors=[],this.faces=[],this.faceVertexUvs=[[]],this.morphTargets=[],this.morphNormals=[],this.skinWeights=[],this.skinIndices=[],this.lineDistances=[],this.boundingBox=null,this.boundingSphere=null,this.name=t.name;const e=t.vertices;for(let t=0,n=e.length;t0){const n=new Float32Array(3*t.normals.length);e.setAttribute(\\\\\\\"normal\\\\\\\",new C.a(n,3).copyVector3sArray(t.normals))}if(t.colors.length>0){const n=new Float32Array(3*t.colors.length);e.setAttribute(\\\\\\\"color\\\\\\\",new C.a(n,3).copyColorsArray(t.colors))}if(t.uvs.length>0){const n=new Float32Array(2*t.uvs.length);e.setAttribute(\\\\\\\"uv\\\\\\\",new C.a(n,2).copyVector2sArray(t.uvs))}if(t.uvs2.length>0){const n=new Float32Array(2*t.uvs2.length);e.setAttribute(\\\\\\\"uv2\\\\\\\",new C.a(n,2).copyVector2sArray(t.uvs2))}e.groups=t.groups;for(const n in t.morphTargets){const i=[],s=t.morphTargets[n];for(let t=0,e=s.length;t0){const n=new C.c(4*t.skinIndices.length,4);e.setAttribute(\\\\\\\"skinIndex\\\\\\\",n.copyVector4sArray(t.skinIndices))}if(t.skinWeights.length>0){const n=new C.c(4*t.skinWeights.length,4);e.setAttribute(\\\\\\\"skinWeight\\\\\\\",n.copyVector4sArray(t.skinWeights))}return null!==t.boundingSphere&&(e.boundingSphere=t.boundingSphere.clone()),null!==t.boundingBox&&(e.boundingBox=t.boundingBox.clone()),e}computeTangents(){console.error(\\\\\\\"THREE.Geometry: .computeTangents() has been removed.\\\\\\\")}computeLineDistances(){console.error(\\\\\\\"THREE.Geometry: .computeLineDistances() has been removed. Use THREE.Line.computeLineDistances() instead.\\\\\\\")}applyMatrix(t){return console.warn(\\\\\\\"THREE.Geometry: .applyMatrix() has been renamed to .applyMatrix4().\\\\\\\"),this.applyMatrix4(t)}dispose(){this.dispatchEvent({type:\\\\\\\"dispose\\\\\\\"})}static createBufferGeometryFromObject(t){let e=new S.a;const n=t.geometry;if(t.isPoints||t.isLine){const t=new C.c(3*n.vertices.length,3),i=new C.c(3*n.colors.length,3);if(e.setAttribute(\\\\\\\"position\\\\\\\",t.copyVector3sArray(n.vertices)),e.setAttribute(\\\\\\\"color\\\\\\\",i.copyColorsArray(n.colors)),n.lineDistances&&n.lineDistances.length===n.vertices.length){const t=new C.c(n.lineDistances.length,1);e.setAttribute(\\\\\\\"lineDistance\\\\\\\",t.copyArray(n.lineDistances))}null!==n.boundingSphere&&(e.boundingSphere=n.boundingSphere.clone()),null!==n.boundingBox&&(e.boundingBox=n.boundingBox.clone())}else t.isMesh&&(e=n.toBufferGeometry());return e}}r9.prototype.isGeometry=!0;class o9{constructor(){this.vertices=[],this.normals=[],this.colors=[],this.uvs=[],this.uvs2=[],this.groups=[],this.morphTargets={},this.skinWeights=[],this.skinIndices=[],this.boundingBox=null,this.boundingSphere=null,this.verticesNeedUpdate=!1,this.normalsNeedUpdate=!1,this.colorsNeedUpdate=!1,this.uvsNeedUpdate=!1,this.groupsNeedUpdate=!1}computeGroups(t){const e=[];let n,i,s;const r=t.faces;for(i=0;i0,r=i[1]&&i[1].length>0,o=t.morphTargets,a=o.length;let l;if(a>0){l=[];for(let t=0;t0){u=[];for(let t=0;t0&&0===e.length&&console.error(\\\\\\\"THREE.DirectGeometry: Faceless geometries are not supported.\\\\\\\");for(let t=0;t0;)this.smooth(t);return t.computeFaceNormals(),t.computeVertexNormals(),e?t.toBufferGeometry():t},function(){var t=[\\\\\\\"a\\\\\\\",\\\\\\\"b\\\\\\\",\\\\\\\"c\\\\\\\"];function e(t,e,n){return n[Math.min(t,e)+\\\\\\\"_\\\\\\\"+Math.max(t,e)]}function n(t,e,n,i,s,r){var o,a=Math.min(t,e),l=Math.max(t,e),c=a+\\\\\\\"_\\\\\\\"+l;c in i?o=i[c]:(o={a:n[a],b:n[l],newEdge:null,faces:[]},i[c]=o);o.faces.push(s),r[t].edges.push(o),r[e].edges.push(o)}function i(t,e,n,i,s){t.push(new a9(e,n,i,void 0,void 0,s))}function s(t,e){return Math.abs(e-t)/2+Math.min(t,e)}function r(t,e,n,i){t.push([e.clone(),n.clone(),i.clone()])}l9.prototype.smooth=function(o){var a,l,c,h,u,_,m,f,g,v,y,x,b,w=new p.a,T=[];a=o.vertices,l=o.faces;var A,M,E,S,C,N,L,O,P,R,I,F,D,B,z=void 0!==(c=o.faceVertexUvs)[0]&&c[0].length>0;if(z)for(var k=0;k3&&(O=3/(8*_)),P=1-_*O,R=O,_<=2&&2==_&&(P=3/4,R=1/8),B=D.clone().multiplyScalar(P),w.set(0,0,0),k=0;k<_;k++)A=(I=F[k]).a!==D?I.a:I.b,w.add(A);w.multiplyScalar(R),B.add(w),b.push(B)}h=b.concat(x);var U,G,V,H,j,W,q,X=b.length;u=[];var Y=new d.a,$=new d.a,J=new d.a;for(m=0,f=l.length;m{f9.PARAM_CALLBACK_reset(t)}})}};class f9 extends uV{constructor(){super(...arguments),this.paramsConfig=m9}static type(){return ns.INPUT}initializeNode(){this.io.inputs.setCount(0),this.lifecycle.add_on_add_hook((()=>{this.set_parent_input_dependency()}))}async cook(){const t=this.pv.input,e=this.parent();if(e){if(e.io.inputs.has_input(t)){const n=await e.containerController.requestInputContainer(t);if(n){const t=n.coreContent();if(t)return void this.setCoreGroup(t)}}else this.states.error.set(`parent has no input ${t}`);this.cookController.endCook()}else this.states.error.set(\\\\\\\"subnet input has no parent\\\\\\\")}static PARAM_CALLBACK_reset(t){t.set_parent_input_dependency()}set_parent_input_dependency(){this._current_parent_input_graph_node&&this.removeGraphInput(this._current_parent_input_graph_node);const t=this.parent();t&&(this._current_parent_input_graph_node=t.io.inputs.inputGraphNode(this.pv.input),this.addGraphInput(this._current_parent_input_graph_node))}}var g9=n(82);class v9 extends $g{constructor(t,e,n){super(t,e,n)}load(t){return new Promise((async(e,n)=>{const i=new g9.a(this.loadingManager),s=await this._urlToLoad();i.load(s,(i=>{try{const n=this._onLoaded(i,t);e(n)}catch(t){n([])}}))}))}parse(t,e){const n=new g9.a(this.loadingManager).parse(t);return this._onLoaded(n,e)}_onLoaded(t,e){const n=t.paths,i=new Fn.a;for(let t=0;t{const i=await n.load(e);for(let t of i.children)this._ensure_geometry_has_index(t);t(this.createCoreGroupFromObjects(i.children))}))}_ensure_geometry_has_index(t){const e=t.geometry;e&&this.createIndexIfNone(e)}}x9.DEFAULT_PARAMS={url:y9,drawFillShapes:!0,fillShapesWireframe:!1,drawStrokes:!0,strokesWireframe:!1};const b9=x9.DEFAULT_PARAMS;const w9=new class extends ua{constructor(){super(...arguments),this.url=ha.STRING(b9.url,{fileBrowse:{type:[Rr.SVG]}}),this.reload=ha.BUTTON(null,{callback:(t,e)=>{T9.PARAM_CALLBACK_reload(t)}}),this.drawFillShapes=ha.BOOLEAN(b9.drawFillShapes),this.fillShapesWireframe=ha.BOOLEAN(b9.fillShapesWireframe),this.drawStrokes=ha.BOOLEAN(b9.drawStrokes),this.strokesWireframe=ha.BOOLEAN(b9.strokesWireframe)}};class T9 extends uV{constructor(){super(...arguments),this.paramsConfig=w9}static type(){return\\\\\\\"svg\\\\\\\"}async requiredModules(){return[Hn.SVGLoader]}initializeNode(){this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.url],(()=>{const t=this.pv.url;if(t){const e=t.split(\\\\\\\"/\\\\\\\");return e[e.length-1]}return\\\\\\\"\\\\\\\"}))}))}))}async cook(t){this._operation=this._operation||new x9(this.scene(),this.states,this);const e=await this._operation.cook(t,this.pv);this.setCoreGroup(e)}static PARAM_CALLBACK_reload(t){t.param_callback_reload()}param_callback_reload(){this.p.url.setDirty()}}const A9=\\\\\\\"geometry to switch to\\\\\\\";const M9=new class extends ua{constructor(){super(...arguments),this.input=ha.INTEGER(0,{range:[0,3],rangeLocked:[!0,!0]})}};class E9 extends uV{constructor(){super(...arguments),this.paramsConfig=M9}static type(){return\\\\\\\"switch\\\\\\\"}static displayedInputNames(){return[A9,A9,A9,A9]}initializeNode(){this.io.inputs.setCount(0,4),this.io.inputs.initInputsClonedState(Qi.NEVER),this.cookController.disallowInputsEvaluation()}async cook(){const t=this.pv.input;if(this.io.inputs.has_input(t)){const e=await this.containerController.requestInputContainer(t);if(e){const t=e.coreContent();if(t)return void this.setCoreGroup(t)}}else this.states.error.set(`no input ${t}`);this.cookController.endCook()}}class S9 extends zQ{constructor(t,e,n){super([1,1,1,-1,-1,1,-1,1,-1,1,-1,-1],[2,1,0,0,3,2,1,3,0,2,3,1],t,e,n),this.type=\\\\\\\"TetrahedronBufferGeometry\\\\\\\",this.parameters={radius:t,detail:e}}}const C9=new class extends ua{constructor(){super(...arguments),this.radius=ha.FLOAT(1),this.detail=ha.INTEGER(0,{range:[0,10],rangeLocked:[!0,!1]}),this.pointsOnly=ha.BOOLEAN(0),this.center=ha.VECTOR3([0,0,0])}};class N9 extends uV{constructor(){super(...arguments),this.paramsConfig=C9}static type(){return\\\\\\\"tetrahedron\\\\\\\"}cook(){const t=this.pv.pointsOnly,e=new S9(this.pv.radius,this.pv.detail,t);if(e.translate(this.pv.center.x,this.pv.center.y,this.pv.center.z),t){const t=this.createObject(e,Ns.POINTS);this.setObject(t)}else e.computeVertexNormals(),this.setGeometry(e)}}class L9 extends yJ{constructor(t,e={}){const n=e.font;if(!n||!n.isFont)return new S.a;const i=n.generateShapes(t,e.size);e.depth=void 0!==e.height?e.height:50,void 0===e.bevelThickness&&(e.bevelThickness=10),void 0===e.bevelSize&&(e.bevelSize=8),void 0===e.bevelEnabled&&(e.bevelEnabled=!1),super(i,e),this.type=\\\\\\\"TextGeometry\\\\\\\"}}var O9=n(48);class P9 extends Vf.a{constructor(t){super(t)}load(t,e,n,i){const s=this,r=new Gf.a(this.manager);r.setPath(this.path),r.setRequestHeader(this.requestHeader),r.setWithCredentials(s.withCredentials),r.load(t,(function(t){let n;try{n=JSON.parse(t)}catch(e){console.warn(\\\\\\\"THREE.FontLoader: typeface.js support is being deprecated. Use typeface.json instead.\\\\\\\"),n=JSON.parse(t.substring(65,t.length-2))}const i=s.parse(n);e&&e(i)}),n,i)}parse(t){return new R9(t)}}class R9{constructor(t){this.type=\\\\\\\"Font\\\\\\\",this.data=t}generateShapes(t,e=100){const n=[],i=function(t,e,n){const i=Array.from(t),s=e/n.resolution,r=(n.boundingBox.yMax-n.boundingBox.yMin+n.underlineThickness)*s,o=[];let a=0,l=0;for(let t=0;t{const i=await this._loadTTFLoader();i&&i.load(t,(t=>{const n=this._font_loader.parse(t);e(n)}),void 0,(()=>{n()}))}))}_loadJSON(t){return new Promise(((e,n)=>{this._font_loader.load(t,(t=>{e(t)}),void 0,(()=>{n()}))}))}async _loadTTFLoader(){const t=await li.modulesRegister.module(Hn.TTFLoader);if(t)return new t(this.loadingManager)}static async loadSVGLoader(){const t=await li.modulesRegister.module(Hn.SVGLoader);if(t)return t}}var D9;!function(t){t.MESH=\\\\\\\"mesh\\\\\\\",t.FLAT=\\\\\\\"flat\\\\\\\",t.LINE=\\\\\\\"line\\\\\\\",t.STROKE=\\\\\\\"stroke\\\\\\\"}(D9||(D9={}));const B9=[D9.MESH,D9.FLAT,D9.LINE,D9.STROKE],z9=\\\\\\\"failed to generate geometry. Try to remove some characters\\\\\\\";const k9=new class extends ua{constructor(){super(...arguments),this.font=ha.STRING(\\\\\\\"https://raw.githubusercontent.com/polygonjs/polygonjs-assets/master/fonts/droid_sans_regular.typeface.json\\\\\\\",{fileBrowse:{type:[Rr.FONT]}}),this.text=ha.STRING(\\\\\\\"polygonjs\\\\\\\",{multiline:!0}),this.type=ha.INTEGER(0,{menu:{entries:B9.map(((t,e)=>({name:t,value:e})))}}),this.size=ha.FLOAT(1,{range:[0,1],rangeLocked:[!0,!1]}),this.extrude=ha.FLOAT(.1,{visibleIf:{type:B9.indexOf(D9.MESH)}}),this.segments=ha.INTEGER(1,{range:[1,20],rangeLocked:[!0,!1],visibleIf:{type:B9.indexOf(D9.MESH)}}),this.strokeWidth=ha.FLOAT(.02,{visibleIf:{type:B9.indexOf(D9.STROKE)}})}};class U9 extends uV{constructor(){super(...arguments),this.paramsConfig=k9,this._loaded_fonts={}}static type(){return\\\\\\\"text\\\\\\\"}initializeNode(){this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.text],(()=>this.p.text.rawInput()))}))}))}async cook(){try{this._loaded_fonts[this.pv.font]=this._loaded_fonts[this.pv.font]||await this._loadFont()}catch(t){return void this.states.error.set(`count not load font (${this.pv.font})`)}const t=this._loaded_fonts[this.pv.font];if(t)switch(B9[this.pv.type]){case D9.MESH:return this._create_geometry_from_type_mesh(t);case D9.FLAT:return this._create_geometry_from_type_flat(t);case D9.LINE:return this._create_geometry_from_type_line(t);case D9.STROKE:return this._create_geometry_from_type_stroke(t);default:console.warn(\\\\\\\"type is not valid\\\\\\\")}}_create_geometry_from_type_mesh(t){const e=this.displayed_text(),n={font:t,size:this.pv.size,height:this.pv.extrude,curveSegments:this.pv.segments};try{const t=new L9(e,n);if(!t.index){const e=t.getAttribute(\\\\\\\"position\\\\\\\").array;t.setIndex(f.range(e.length/3))}this.setGeometry(t)}catch(t){this.states.error.set(z9)}}_create_geometry_from_type_flat(t){const e=this._get_shapes(t);if(e){var n=new AJ(e);this.setGeometry(n)}}_create_geometry_from_type_line(t){const e=this.shapes_from_font(t);if(e){const t=[],n=[];let i=0;for(let s=0;s0&&e0)for(let e=0;e{const n=t.material;n&&(m.isArray(n)||s||(s=n[e.textureName]))}));if(s)for(let t of n.objects())t.traverse((t=>{const n=t.material;if(n&&!m.isArray(n)){n[e.textureName]=s;const t=n.uniforms;if(t){const n=t[e.textureName];n&&(n.value=s)}n.needsUpdate=!0}}));return n}}G9.DEFAULT_PARAMS={textureName:\\\\\\\"map\\\\\\\"},G9.INPUT_CLONED_STATE=[Qi.FROM_NODE,Qi.NEVER];const V9=G9.DEFAULT_PARAMS;const H9=new class extends ua{constructor(){super(...arguments),this.textureName=ha.STRING(V9.textureName)}};class j9 extends uV{constructor(){super(...arguments),this.paramsConfig=H9}static type(){return\\\\\\\"TextureCopy\\\\\\\"}static displayedInputNames(){return[\\\\\\\"objects to copy textures to\\\\\\\",\\\\\\\"objects to copy textures from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(2),this.io.inputs.initInputsClonedState(G9.INPUT_CLONED_STATE)}async cook(t){this._operation=this._operation||new G9(this.scene(),this.states);const e=await this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class W9 extends aV{static type(){return\\\\\\\"textureProperties\\\\\\\"}async cook(t,e){const n=t[0],i=[];for(let t of n.objects())e.applyToChildren?t.traverse((t=>{i.push(t)})):i.push(t);const s=i.map((t=>this._update_object(t,e)));return await Promise.all(s),n}async _update_object(t,e){const n=t.material;n&&await this._update_material(n,e)}async _update_material(t,e){let n=t.map;n&&await this._update_texture(n,e)}async _update_texture(t,e){this._updateEncoding(t,e),this._updateMapping(t,e),this._updateWrap(t,e),await this._updateAnisotropy(t,e),this._updateFilter(t,e)}_updateEncoding(t,e){e.tencoding&&(t.encoding=e.encoding,t.needsUpdate=!0)}_updateMapping(t,e){e.tmapping&&(t.mapping=e.mapping)}_updateWrap(t,e){e.twrap&&(t.wrapS=e.wrapS,t.wrapT=e.wrapT)}async _updateAnisotropy(t,e){if(e.tanisotropy)if(e.useRendererMaxAnisotropy){const e=await li.renderersController.firstRenderer();e&&(t.anisotropy=e.capabilities.getMaxAnisotropy())}else t.anisotropy=e.anisotropy}_updateFilter(t,e){e.tminFilter&&(t.minFilter=e.minFilter),e.tmagFilter&&(t.magFilter=e.magFilter)}}W9.DEFAULT_PARAMS={applyToChildren:!1,tencoding:!1,encoding:w.U,tmapping:!1,mapping:w.Yc,twrap:!1,wrapS:w.wc,wrapT:w.wc,tanisotropy:!1,useRendererMaxAnisotropy:!1,anisotropy:2,tminFilter:!1,minFilter:Km,tmagFilter:!1,magFilter:Zm},W9.INPUT_CLONED_STATE=Qi.FROM_NODE;const q9=W9.DEFAULT_PARAMS;const X9=new class extends ua{constructor(){super(...arguments),this.applyToChildren=ha.BOOLEAN(q9.applyToChildren,{separatorAfter:!0}),this.tencoding=ha.BOOLEAN(q9.tencoding),this.encoding=ha.INTEGER(q9.encoding,{visibleIf:{tencoding:1},menu:{entries:og.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))}}),this.tmapping=ha.BOOLEAN(q9.tmapping),this.mapping=ha.INTEGER(q9.mapping,{visibleIf:{tmapping:1},menu:{entries:lg.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))}}),this.twrap=ha.BOOLEAN(q9.twrap),this.wrapS=ha.INTEGER(q9.wrapS,{visibleIf:{twrap:1},menu:{entries:ag.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))}}),this.wrapT=ha.INTEGER(q9.wrapT,{visibleIf:{twrap:1},menu:{entries:ag.map((t=>({name:Object.keys(t)[0],value:Object.values(t)[0]})))},separatorAfter:!0}),this.tanisotropy=ha.BOOLEAN(q9.tanisotropy),this.useRendererMaxAnisotropy=ha.BOOLEAN(q9.useRendererMaxAnisotropy,{visibleIf:{tanisotropy:1}}),this.anisotropy=ha.INTEGER(q9.anisotropy,{visibleIf:{tanisotropy:1,useRendererMaxAnisotropy:0},range:[0,32],rangeLocked:[!0,!1]}),this.tminFilter=ha.BOOLEAN(0),this.minFilter=ha.INTEGER(q9.minFilter,{visibleIf:{tminFilter:1},menu:{entries:tf}}),this.tmagFilter=ha.BOOLEAN(0),this.magFilter=ha.INTEGER(q9.magFilter,{visibleIf:{tmagFilter:1},menu:{entries:Qm}})}};class Y9 extends uV{constructor(){super(...arguments),this.paramsConfig=X9}static type(){return\\\\\\\"textureProperties\\\\\\\"}static displayedInputNames(){return[\\\\\\\"objects with textures to change properties of\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(W9.INPUT_CLONED_STATE)}async cook(t){this._operation=this._operation||new W9(this.scene(),this.states);const e=await this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const $9=new p.a(0,0,1);class J9 extends aV{constructor(){super(...arguments),this._core_transform=new bU}static type(){return\\\\\\\"torus\\\\\\\"}cook(t,e){const n=e.radius,i=e.radiusTube,s=e.segmentsRadial,r=e.segmentsTube,o=new EJ(n,i,s,r);return o.translate(e.center.x,e.center.y,e.center.z),this._core_transform.rotateGeometry(o,$9,e.direction),this.createCoreGroupFromGeometry(o)}}J9.DEFAULT_PARAMS={radius:1,radiusTube:1,segmentsRadial:20,segmentsTube:12,direction:new p.a(0,1,0),center:new p.a(0,0,0)},J9.INPUT_CLONED_STATE=Qi.FROM_NODE;const Z9=J9.DEFAULT_PARAMS;const K9=new class extends ua{constructor(){super(...arguments),this.radius=ha.FLOAT(Z9.radius,{range:[0,1]}),this.radiusTube=ha.FLOAT(Z9.radiusTube,{range:[0,1]}),this.segmentsRadial=ha.INTEGER(Z9.segmentsRadial,{range:[1,50],rangeLocked:[!0,!1]}),this.segmentsTube=ha.INTEGER(Z9.segmentsTube,{range:[1,50],rangeLocked:[!0,!1]}),this.direction=ha.VECTOR3(Z9.direction),this.center=ha.VECTOR3(Z9.center)}};class Q9 extends uV{constructor(){super(...arguments),this.paramsConfig=K9}static type(){return\\\\\\\"torus\\\\\\\"}cook(t){this._operation=this._operation||new J9(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}class t3 extends aV{static type(){return\\\\\\\"torusKnot\\\\\\\"}cook(t,e){const n=e.radius,i=e.radiusTube,s=e.segmentsRadial,r=e.segmentsTube,o=e.p,a=e.q,l=new SJ(n,i,s,r,o,a);return l.translate(e.center.x,e.center.y,e.center.z),this.createCoreGroupFromGeometry(l)}}t3.DEFAULT_PARAMS={radius:1,radiusTube:1,segmentsRadial:64,segmentsTube:8,p:2,q:3,center:new p.a(0,0,0)},t3.INPUT_CLONED_STATE=Qi.FROM_NODE;const e3=t3.DEFAULT_PARAMS;const n3=new class extends ua{constructor(){super(...arguments),this.radius=ha.FLOAT(e3.radius),this.radiusTube=ha.FLOAT(e3.radiusTube),this.segmentsRadial=ha.INTEGER(e3.segmentsRadial,{range:[1,128]}),this.segmentsTube=ha.INTEGER(e3.segmentsTube,{range:[1,32]}),this.p=ha.INTEGER(e3.p,{range:[1,10]}),this.q=ha.INTEGER(e3.q,{range:[1,10]}),this.center=ha.VECTOR3(e3.center)}};class i3 extends uV{constructor(){super(...arguments),this.paramsConfig=n3}static type(){return\\\\\\\"torusKnot\\\\\\\"}initializeNode(){}cook(t){this._operation=this._operation||new t3(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}var s3;!function(t){t.SET_PARAMS=\\\\\\\"set params\\\\\\\",t.UPDATE_MATRIX=\\\\\\\"update matrix\\\\\\\"}(s3||(s3={}));const r3=[s3.SET_PARAMS,s3.UPDATE_MATRIX];class o3 extends aV{constructor(){super(...arguments),this._core_transform=new bU,this._point_pos=new p.a,this._object_scale=new p.a,this._r=new p.a,this._object_position=new p.a}static type(){return\\\\\\\"transform\\\\\\\"}cook(t,e){const n=t[0].objects();return this._apply_transform(n,e),t[0]}_apply_transform(t,e){const n=gU[e.applyOn];switch(n){case _U.GEOMETRIES:return this._update_geometries(t,e);case _U.OBJECTS:return this._update_objects(t,e)}os.unreachable(n)}_update_geometries(t,e){const n=this._matrix(e);if(\\\\\\\"\\\\\\\"===e.group.trim())for(let i of t){const t=i.geometry;t&&(t.translate(-e.pivot.x,-e.pivot.y,-e.pivot.z),t.applyMatrix4(n),t.translate(e.pivot.x,e.pivot.y,e.pivot.z))}else{const i=oV._fromObjects(t).pointsFromGroup(e.group);for(let t of i){const i=t.getPosition(this._point_pos).sub(e.pivot);i.applyMatrix4(n),t.setPosition(i.add(e.pivot))}}}_update_objects(t,e){const n=r3[e.objectMode];switch(n){case s3.SET_PARAMS:return this._update_objects_params(t,e);case s3.UPDATE_MATRIX:return this._update_objects_matrix(t,e)}os.unreachable(n)}_update_objects_params(t,e){for(let n of t){n.position.copy(e.t);const t=yU[e.rotationOrder];this._r.copy(e.r).multiplyScalar(On.a),n.rotation.set(this._r.x,this._r.y,this._r.z,t),this._object_scale.copy(e.s).multiplyScalar(e.scale),n.scale.copy(this._object_scale),n.updateMatrix()}}_update_objects_matrix(t,e){const n=this._matrix(e);for(let e of t)this._object_position.copy(e.position),e.position.multiplyScalar(0),e.updateMatrix(),e.applyMatrix4(n),e.position.add(this._object_position),e.updateMatrix()}_matrix(t){return this._core_transform.matrix(t.t,t.r,t.s,t.scale,yU[t.rotationOrder])}}o3.DEFAULT_PARAMS={applyOn:gU.indexOf(_U.GEOMETRIES),objectMode:r3.indexOf(s3.SET_PARAMS),group:\\\\\\\"\\\\\\\",rotationOrder:yU.indexOf(vU.XYZ),t:new p.a(0,0,0),r:new p.a(0,0,0),s:new p.a(1,1,1),scale:1,pivot:new p.a(0,0,0)},o3.INPUT_CLONED_STATE=Qi.FROM_NODE;const a3=o3.DEFAULT_PARAMS;const l3=new class extends ua{constructor(){super(...arguments),this.applyOn=ha.INTEGER(a3.applyOn,{menu:{entries:gU.map(((t,e)=>({name:t,value:e})))}}),this.objectMode=ha.INTEGER(a3.objectMode,{visibleIf:{applyOn:gU.indexOf(_U.OBJECTS)},menu:{entries:r3.map(((t,e)=>({name:t,value:e})))}}),this.group=ha.STRING(a3.group,{visibleIf:{applyOn:gU.indexOf(_U.GEOMETRIES)}}),this.rotationOrder=ha.INTEGER(a3.rotationOrder,{menu:{entries:yU.map(((t,e)=>({name:t,value:e})))}}),this.t=ha.VECTOR3(a3.t),this.r=ha.VECTOR3(a3.r),this.s=ha.VECTOR3(a3.s),this.scale=ha.FLOAT(a3.scale,{range:[0,10]}),this.pivot=ha.VECTOR3(a3.pivot,{visibleIf:{applyOn:gU.indexOf(_U.GEOMETRIES)}})}};class c3 extends uV{constructor(){super(...arguments),this.paramsConfig=l3}static type(){return O2.TRANSFORM}static displayedInputNames(){return[\\\\\\\"geometries or objects to transform\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1),this.io.inputs.initInputsClonedState(o3.INPUT_CLONED_STATE),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.applyOn],(()=>gU[this.pv.applyOn]))}))}))}setApplyOn(t){this.p.applyOn.set(gU.indexOf(t))}setObjectMode(t){this.p.objectMode.set(r3.indexOf(t))}cook(t){this._operation=this._operation||new o3(this.scene(),this.states);const e=this._operation.cook(t,this.pv);this.setCoreGroup(e)}}const h3=new class extends ua{constructor(){super(...arguments),this.useSecondInput=ha.BOOLEAN(1),this.reference=ha.OPERATOR_PATH(\\\\\\\"\\\\\\\",{nodeSelection:{context:ts.SOP},visibleIf:{useSecondInput:0}})}};class u3 extends uV{constructor(){super(...arguments),this.paramsConfig=h3}static type(){return\\\\\\\"transformCopy\\\\\\\"}static displayedInputNames(){return[\\\\\\\"objects to transform\\\\\\\",\\\\\\\"objects to copy transform from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1,2),this.io.inputs.initInputsClonedState([Qi.FROM_NODE,Qi.NEVER])}cook(t){this.pv.useSecondInput&&t[1]?this._copy_from_src_objects(t[0].objects(),t[1].objects()):this._copy_from_found_node(t[0].objects())}_copy_from_src_objects(t,e){let n,i;for(let s=0;s({name:t,value:e})))}};function _3(t){const e=[];for(let n=t+1;n<=6;n++)e.push({count:n});return{visibleIf:e}}const m3=new class extends ua{constructor(){super(...arguments),this.applyOn=ha.INTEGER(gU.indexOf(_U.GEOMETRIES),{menu:{entries:gU.map(((t,e)=>({name:t,value:e})))}}),this.count=ha.INTEGER(2,{range:[0,6],rangeLocked:[!0,!0]}),this.rotationOrder0=ha.INTEGER(d3,{separatorBefore:!0,...p3,..._3(0)}),this.r0=ha.VECTOR3([0,0,0],{..._3(0)}),this.rotationOrder1=ha.INTEGER(d3,{separatorBefore:!0,...p3,..._3(1)}),this.r1=ha.VECTOR3([0,0,0],{..._3(1)}),this.rotationOrder2=ha.INTEGER(d3,{separatorBefore:!0,...p3,..._3(2)}),this.r2=ha.VECTOR3([0,0,0],{..._3(2)}),this.rotationOrder3=ha.INTEGER(d3,{separatorBefore:!0,...p3,..._3(3)}),this.r3=ha.VECTOR3([0,0,0],{..._3(3)}),this.rotationOrder4=ha.INTEGER(d3,{separatorBefore:!0,...p3,..._3(4)}),this.r4=ha.VECTOR3([0,0,0],{..._3(4)}),this.rotationOrder5=ha.INTEGER(d3,{separatorBefore:!0,...p3,..._3(5)}),this.r5=ha.VECTOR3([0,0,0],{..._3(5)})}};class f3 extends uV{constructor(){super(...arguments),this.paramsConfig=m3,this._core_transform=new bU,this._t=new p.a(0,0,0),this._s=new p.a(1,1,1),this._scale=1}static type(){return\\\\\\\"transformMulti\\\\\\\"}static displayedInputNames(){return[\\\\\\\"objects to transform\\\\\\\",\\\\\\\"objects to copy initial transform from\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1,2),this.io.inputs.initInputsClonedState([Qi.FROM_NODE,Qi.NEVER]),this.scene().dispatchController.onAddListener((()=>{this.params.onParamsCreated(\\\\\\\"params_label\\\\\\\",(()=>{this.params.label.init([this.p.applyOn],(()=>gU[this.pv.applyOn]))}))})),this.params.onParamsCreated(\\\\\\\"cache param pairs\\\\\\\",(()=>{this._rot_and_index_pairs=[[this.p.r0,this.p.rotationOrder0],[this.p.r1,this.p.rotationOrder1],[this.p.r2,this.p.rotationOrder2],[this.p.r3,this.p.rotationOrder3],[this.p.r4,this.p.rotationOrder4],[this.p.r5,this.p.rotationOrder5]]}))}cook(t){const e=t[0].objectsWithGeo(),n=t[1]?t[1].objectsWithGeo()[0]:void 0;this._apply_transforms(e,n),this.setObjects(e)}_apply_transforms(t,e){const n=gU[this.pv.applyOn];switch(n){case _U.GEOMETRIES:return this._apply_matrix_to_geometries(t,e);case _U.OBJECTS:return this._apply_matrix_to_objects(t,e)}os.unreachable(n)}_apply_matrix_to_geometries(t,e){if(!this._rot_and_index_pairs)return;if(e){const n=e.geometry;if(n){const e=[Ws.POSITION,Ws.NORMAL,Ws.TANGENT];for(let i of e){const e=n.attributes[i];for(let n of t){const t=n.geometry.attributes[i];e&&t&&Xs.copy(e,t)}}}}let n;for(let e=0;e({name:t,value:e})))}})}};class x3 extends uV{constructor(){super(...arguments),this.paramsConfig=y3,this._bbox_center=new p.a,this._translate_matrix=new A.a}static type(){return\\\\\\\"transformReset\\\\\\\"}static displayedInputNames(){return[\\\\\\\"objects to reset transform\\\\\\\",\\\\\\\"optional reference for center\\\\\\\"]}initializeNode(){this.io.inputs.setCount(1,2),this.io.inputs.initInputsClonedState(Qi.FROM_NODE)}setMode(t){this.p.mode.set(v3.indexOf(t))}cook(t){const e=v3[this.pv.mode];this._select_mode(e,t)}_select_mode(t,e){switch(t){case g3.RESET_OBJECT:return this._reset_objects(e);case g3.CENTER_GEO:return this._center_geos(e,!1);case g3.PROMOTE_GEO_TO_OBJECT:return this._center_geos(e,!0)}os.unreachable(t)}_reset_objects(t){const e=t[0],n=e.objects();for(let t of n)t.matrix.identity(),bU.decomposeMatrix(t);this.setCoreGroup(e)}_center_geos(t,e){const n=t[0],i=n.objectsWithGeo();let s=i;const r=t[1];r&&(s=r.objectsWithGeo());for(let t=0;te.h-t.h));const i=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),n),h:1/0}];let s=0,r=0;for(const e of t)for(let t=i.length-1;t>=0;t--){const n=i[t];if(!(e.w>n.w||e.h>n.h)){if(e.x=n.x,e.y=n.y,r=Math.max(r,e.y+e.h),s=Math.max(s,e.x+e.w),e.w===n.w&&e.h===n.h){const e=i.pop();t=this.minAllowedArgumentsCount()&&t<=this.maxAllowedArgumentsCount()}processArguments(t){throw\\\\\\\"Expression.Method._Base.process_arguments virtual method call. Please override\\\\\\\"}async getReferencedNodeContainer(t){const e=this.getReferencedNode(t);if(e){let t;if(t=e.isDirty()?await e.compute():e.containerController.container(),t){if(t.coreContent())return t}throw`referenced node invalid: ${e.path()}`}throw`invalid input (${t})`}getReferencedParam(t,e){const n=this.node();return n?bi.findParam(n,t,e):null}findReferencedGraphNode(t,e){if(!m.isNumber(t)){const n=t;return this.getReferencedNode(n,e)}{const e=t,n=this.node();if(n){return n.io.inputs.inputGraphNode(e)}}return null}getReferencedNode(t,e){let n=null;const i=this.node();if(m.isString(t)){if(i){const s=t;n=bi.findNode(i,s,e)}}else if(i){const e=t;n=i.io.inputs.input(e)}return n||null}findDependency(t){return null}createDependencyFromIndexOrPath(t){const e=new po,n=this.findReferencedGraphNode(t,e);return n?this.createDependency(n,t,e):(li.warn(\\\\\\\"node not found for path\\\\\\\",t),null)}createDependency(t,e,n){return Ur.create(this.param,e,t,n)}}class Y3 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"arguments list\\\\\\\"],[\\\\\\\"number\\\\\\\",\\\\\\\"index\\\\\\\"]]}processArguments(t){return new Promise(((e,n)=>{if(2==t.length){const n=t[0],i=t[1];e(n.split(\\\\\\\" \\\\\\\")[i])}else e(0)}))}}class $3 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"arguments list\\\\\\\"]]}processArguments(t){return new Promise(((e,n)=>{if(1==t.length){e(t[0].split(\\\\\\\" \\\\\\\").length)}else e(0)}))}}const J3=[\\\\\\\"min\\\\\\\",\\\\\\\"max\\\\\\\",\\\\\\\"size\\\\\\\",\\\\\\\"center\\\\\\\"],Z3=[\\\\\\\"x\\\\\\\",\\\\\\\"y\\\\\\\",\\\\\\\"z\\\\\\\"];class K3 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to node\\\\\\\"],[\\\\\\\"string\\\\\\\",\\\\\\\"vector name, min, max, size or center\\\\\\\"],[\\\\\\\"string\\\\\\\",\\\\\\\"component_name, x,y or z\\\\\\\"]]}findDependency(t){return this.createDependencyFromIndexOrPath(t)}processArguments(t){let e=0;return new Promise((async(n,i)=>{if(t.length>=1){const s=t[0],r=t[1],o=t[2];let a=null;try{a=await this.getReferencedNodeContainer(s)}catch(t){i(t)}a&&(e=this._get_value_from_container(a,r,o),n(e))}else n(0)}))}_get_value_from_container(t,e,n){const i=t.boundingBox();if(!e)return i;if(J3.indexOf(e)>=0){let t=new p.a;switch(e){case\\\\\\\"size\\\\\\\":i.getSize(t);break;case\\\\\\\"center\\\\\\\":i.getCenter(t);break;default:t=i[e]}return n?Z3.indexOf(n)>=0?t[n]:-1:t}return-1}}class Q3 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to node\\\\\\\"],[\\\\\\\"string\\\\\\\",\\\\\\\"component_name, x,y or z\\\\\\\"]]}findDependency(t){return this.createDependencyFromIndexOrPath(t)}processArguments(t){return new Promise((async(e,n)=>{if(t.length>=1){const i=t[0],s=t[1];let r=null;try{r=await this.getReferencedNodeContainer(i)}catch(t){n(t)}if(r){const t=r.boundingBox(),n=t.min.clone().add(t.max).multiplyScalar(.5);if(s){const t=n[s];e(null!=t?t:0)}else e(n)}}else e(0)}))}}class t4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to param\\\\\\\"]]}findDependency(t){const e=new po,n=this.getReferencedParam(t,e);return n?this.createDependency(n,t,e):null}async processArguments(t){return new Promise((async(e,n)=>{let i=0;if(1==t.length){const s=t[0],r=this.getReferencedParam(s);if(r){r.isDirty()&&await r.compute();const t=r.value;null!=t&&(i=t,e(i))}else n(0)}}))}}class e4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to copy\\\\\\\"],[\\\\\\\"integer\\\\\\\",\\\\\\\"default value\\\\\\\"]]}static optionalArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"attribute name (optional)\\\\\\\"]]}findDependency(t){const e=this.findReferencedGraphNode(t);if(e&&\\\\\\\"copy\\\\\\\"==e.type()){const n=e.stamp_node;return this.createDependency(n,t)}return null}processArguments(t){return new Promise(((e,n)=>{if(2==t.length||3==t.length){const n=t[0],i=t[1],s=t[2],r=this.node(),o=r?bi.findNode(r,n):null;let a;o&&o.type()==DZ.type()&&(a=o.stamp_value(s)),null==a&&(a=i),e(a)}else e(0)}))}}class n4 extends X3{constructor(){super(...arguments),this._require_dependency=!0,this._resolution=new d.a}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to node\\\\\\\"],[\\\\\\\"string\\\\\\\",\\\\\\\"component_name: x or y\\\\\\\"]]}findDependency(t){return this.createDependencyFromIndexOrPath(t)}async processArguments(t){if(1==t.length||2==t.length){const e=t[0],n=t[1],i=await this.getReferencedNodeContainer(e);if(i){const t=i.resolution();if(!n)return this._resolution.set(t[0],t[1]),this._resolution;if([0,\\\\\\\"0\\\\\\\",\\\\\\\"x\\\\\\\"].includes(n))return t[0];if([1,\\\\\\\"1\\\\\\\",\\\\\\\"y\\\\\\\"].includes(n))return t[1]}}return-1}}class i4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[]}async processArguments(t){return new Promise((async(t,e)=>{t(ng.isMobile())}))}}class s4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[]}async processArguments(t){return new Promise((async(t,e)=>{t(ng.isTouchDevice())}))}}class r4 extends X3{static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"javascript expression\\\\\\\"]]}async processArguments(t){let e=0;if(1==t.length){const n=t[0];if(this._function=this._function||this._create_function(n),this._function)try{e=this._function(this.param.scene(),this.param.node,this.param)}catch(t){console.warn(\\\\\\\"expression error\\\\\\\"),console.warn(t)}}return e}_create_function(t){return new Function(\\\\\\\"scene\\\\\\\",\\\\\\\"node\\\\\\\",\\\\\\\"param\\\\\\\",`return ${t}`)}}class o4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to node\\\\\\\"],[\\\\\\\"string\\\\\\\",\\\\\\\"attribute name\\\\\\\"],[\\\\\\\"index\\\\\\\",\\\\\\\"object index\\\\\\\"]]}findDependency(t){return this.createDependencyFromIndexOrPath(t)}processArguments(t){return new Promise((async(e,n)=>{if(3==t.length){const i=t[0],s=t[1],r=t[2];let o=null;try{o=await this.getReferencedNodeContainer(i)}catch(t){n(t)}if(o){e(this._get_value_from_container(o,s,r))}}else console.warn(`${t.length} given when expected 3`),e(0)}))}_get_value_from_container(t,e,n){const i=t.coreContent();if(i){const t=i.coreObjects()[n];return t?t.attribValue(e):0}return null}}class a4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to node\\\\\\\"]]}findDependency(t){return this.createDependencyFromIndexOrPath(t)}processArguments(t){return new Promise((async(e,n)=>{if(1==t.length){const i=t[0];let s;try{s=await this.getReferencedNodeContainer(i)}catch(t){return void n(t)}if(s){e(s.objectsCount())}}else e(0)}))}}class l4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to node\\\\\\\"]]}findDependency(t){const e=this.findReferencedGraphNode(t);if(e){const n=e;if(n.nameController){const e=n.nameController.graph_node;return this.createDependency(e,t)}}return null}processArguments(t){return new Promise(((e,n)=>{if(1==t.length){const n=t[0],i=this.getReferencedNode(n);if(i){const t=i.name();e(ss.tailDigits(t))}else e(0)}else e(0)}))}}class c4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to node\\\\\\\"]]}findDependency(t){const e=this.findReferencedGraphNode(t);if(e){const n=e;if(n.nameController){const e=n.nameController.graph_node;return this.createDependency(e,t)}}return null}processArguments(t){return new Promise(((e,n)=>{if(1==t.length){const n=t[0],i=this.getReferencedNode(n);if(i){e(i.name())}else e(0)}else e(0)}))}}class h4 extends X3{static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"number\\\\\\\"]]}processArguments(t){return new Promise((e=>{const n=t[0]||2;e(`${t[1]||0}`.padStart(n,\\\\\\\"0\\\\\\\"))}))}}class u4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to node\\\\\\\"],[\\\\\\\"string\\\\\\\",\\\\\\\"attribute name\\\\\\\"],[\\\\\\\"index\\\\\\\",\\\\\\\"point index\\\\\\\"]]}findDependency(t){return this.createDependencyFromIndexOrPath(t)}processArguments(t){return new Promise((async(e,n)=>{if(3==t.length){const i=t[0],s=t[1],r=t[2];let o=null;try{o=await this.getReferencedNodeContainer(i)}catch(t){n(t)}if(o){e(this._get_value_from_container(o,s,r))}}else console.warn(`${t.length} given when expected 3`),e(0)}))}_get_value_from_container(t,e,n){const i=t.coreContent();if(i){const t=i.points()[n];return t?t.attribValue(e):0}return null}}class d4 extends X3{constructor(){super(...arguments),this._require_dependency=!0}static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"path to node\\\\\\\"]]}findDependency(t){return this.createDependencyFromIndexOrPath(t)}processArguments(t){return new Promise((async(e,n)=>{if(1==t.length){const i=t[0];let s;try{s=await this.getReferencedNodeContainer(i)}catch(t){return void n(t)}if(s){e(s.pointsCount())}}else e(0)}))}}class p4 extends X3{static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"string to count characters of\\\\\\\"]]}async processArguments(t){let e=0;if(1==t.length){e=t[0].length}return e}}class _4 extends X3{static requiredArguments(){return[]}async processArguments(t){let e=\\\\\\\"\\\\\\\";for(let n of t)null==n&&(n=\\\\\\\"\\\\\\\"),e+=`${n}`;return e}}class m4 extends X3{static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"string to get index from\\\\\\\"],[\\\\\\\"string\\\\\\\",\\\\\\\"char to find index of\\\\\\\"]]}async processArguments(t){let e=-1;if(2==t.length){const n=t[0],i=t[1];e=n.indexOf(i)}return e}}class f4 extends X3{static requiredArguments(){return[[\\\\\\\"string\\\\\\\",\\\\\\\"string to get range from\\\\\\\"],[\\\\\\\"integer\\\\\\\",\\\\\\\"range start\\\\\\\"],[\\\\\\\"integer\\\\\\\",\\\\\\\"range size\\\\\\\"]]}async processArguments(t){let e=\\\\\\\"\\\\\\\";const n=t[0],i=t[1]||0;let s=t[2]||1;return n&&(e=n.substr(i,s)),e}}class g4 extends X3{constructor(){super(...arguments),this._require_dependency=!0,this._windowSize=new d.a}static requiredArguments(){return[[]]}findDependency(t){return this.param.addGraphInput(this.param.scene().windowController.graphNode()),null}processArguments(t){return new Promise((t=>{this._windowSize.set(window.innerWidth,window.innerHeight),t(this._windowSize)}))}}class v4{constructor(t,e){this._controller=t,this._node=e,this._deleted_params_data=new Map,this._created_spare_param_names=[],this._raw_input_serialized_by_param_name=new Map,this._init_value_serialized_by_param_name=new Map}get assembler(){return this._controller.assembler}createSpareParameters(){var t;const e={},n=this.assembler.param_configs(),i=n.map((t=>t.name())),s=b.clone(i);if(0==this._validateNames(s))return;b.clone(this._created_spare_param_names).concat(s).forEach((t=>{const n=this._node.params.get(t);if(n){this._raw_input_serialized_by_param_name.set(n.name(),n.rawInputSerialized()),this._init_value_serialized_by_param_name.set(n.name(),n.defaultValueSerialized());const t=rV.dispatch_param(n);if(t.required()){const e=t.data();this._deleted_params_data.set(n.name(),e)}}e.namesToDelete=e.namesToDelete||[],e.namesToDelete.push(t)}));for(let t of n)if(s.indexOf(t.name())>=0){const n=b.clone(t.param_options),i={spare:!0,computeOnDirty:!0,cook:!1},s=b.merge(n,i);let r=this._init_value_serialized_by_param_name.get(t.name());null==r&&(r=t.default_value);let o=this._raw_input_serialized_by_param_name.get(t.name());null==o&&(o=t.default_value),e.toAdd=e.toAdd||[],e.toAdd.push({name:t.name(),type:t.type(),init_value:r,raw_input:o,options:s})}this._node.params.updateParams(e),this._created_spare_param_names=(null===(t=e.toAdd)||void 0===t?void 0:t.map((t=>t.name)))||[];for(let t of n){const e=this._node.params.get(t.name());e&&(t.execute_callback(this._node,e),e.type()==Cr.OPERATOR_PATH&&setTimeout((async()=>{e.isDirty()&&await e.compute(),e.options.executeCallback()}),200))}}_validateNames(t){const e=b.clone(this._node.params.non_spare_names),n=f.intersection(t,e);if(n.length>0){const t=`${this._node.path()} attempts to create spare params called '${n.join(\\\\\\\", \\\\\\\")}' with same name as params`;return this._node.states.error.set(t),!1}return!0}}class y4{constructor(t,e){this.node=t,this._globals_handler=new Pf,this._compile_required=!0,this._assembler=new e(this.node),this._spare_params_controller=new v4(this,this.node)}set_assembler_globals_handler(t){(this._globals_handler?this._globals_handler.id():null)!=(t?t.id():null)&&(this._globals_handler=t,this.set_compilation_required_and_dirty(),this._assembler.reset_configs())}get assembler(){return this._assembler}get globals_handler(){return this._globals_handler}add_output_inputs(t){this._assembler.add_output_inputs(t)}add_globals_outputs(t){this._assembler.add_globals_outputs(t)}allow_attribute_exports(){return this._assembler.allow_attribute_exports()}setCompilationRequired(t=!0){this._compile_required=t}set_compilation_required_and_dirty(t){this.setCompilationRequired(),this.node.setDirty(t)}compileRequired(){return this._compile_required}post_compile(){this.createSpareParameters(),this.setCompilationRequired(!1)}createSpareParameters(){this._spare_params_controller.createSpareParameters()}addFilterFragmentShaderCallback(t,e){this.assembler._addFilterFragmentShaderCallback(t,e),this.setCompilationRequired()}removeFilterFragmentShaderCallback(t){this.assembler._removeFilterFragmentShaderCallback(t),this.setCompilationRequired()}}var x4;!function(t){t.FUNCTION_DECLARATION=\\\\\\\"function_declaration\\\\\\\",t.DEFINE=\\\\\\\"define\\\\\\\",t.BODY=\\\\\\\"body\\\\\\\"}(x4||(x4={}));class b4{constructor(t,e,n){this._name=t,this._input_names=e,this._dependencies=n}name(){return this._name}input_names(){return this._input_names}dependencies(){return this._dependencies}}class w4{constructor(t,e={}){this._name=t,this._options=e}name(){return this._name}default_from_attribute(){return this._options.default_from_attribute||!1}default(){return this._options.default}if_condition(){return this._options.if}prefix(){return this._options.prefix||\\\\\\\"\\\\\\\"}suffix(){return this._options.suffix||\\\\\\\"\\\\\\\"}postLines(){return this._options.postLines}}class T4{constructor(t){this._shader_name=t,this._definitions_by_node_id=new Map,this._body_lines_by_node_id=new Map}get shader_name(){return this._shader_name}addDefinitions(t,e){for(let n of e)h.pushOnArrayAtEntry(this._definitions_by_node_id,t.graphNodeId(),n)}definitions(t){return this._definitions_by_node_id.get(t.graphNodeId())}addBodyLines(t,e){for(let n of e)h.pushOnArrayAtEntry(this._body_lines_by_node_id,t.graphNodeId(),n)}body_lines(t){return this._body_lines_by_node_id.get(t.graphNodeId())}}class A4{constructor(t,e,n){this._shader_names=t,this._current_shader_name=e,this._assembler=n,this._lines_controller_by_shader_name=new Map;for(let t of this._shader_names)this._lines_controller_by_shader_name.set(t,new T4(t))}assembler(){return this._assembler}shaderNames(){return this._shader_names}set_current_shader_name(t){this._current_shader_name=t}get current_shader_name(){return this._current_shader_name}addDefinitions(t,e,n){if(0==e.length)return;n=n||this._current_shader_name;const i=this._lines_controller_by_shader_name.get(n);i&&i.addDefinitions(t,e)}definitions(t,e){const n=this._lines_controller_by_shader_name.get(t);if(n)return n.definitions(e)}addBodyLines(t,e,n){if(0==e.length)return;n=n||this._current_shader_name;const i=this._lines_controller_by_shader_name.get(n);i&&i.addBodyLines(t,e)}body_lines(t,e){const n=this._lines_controller_by_shader_name.get(t);if(n)return n.body_lines(e)}}const M4={[x4.FUNCTION_DECLARATION]:\\\\\\\"\\\\\\\",[x4.DEFINE]:\\\\\\\";\\\\\\\",[x4.BODY]:\\\\\\\";\\\\\\\"},E4={[x4.FUNCTION_DECLARATION]:\\\\\\\"\\\\\\\",[x4.DEFINE]:\\\\\\\"\\\\\\\",[x4.BODY]:\\\\\\\"\\\\t\\\\\\\"};class S4{static node_comment(t,e){let n=`// ${t.path()}`,i=E4[e];if(e==x4.BODY){let e=this.node_distance_to_material(t);t.type()==ns.OUTPUT&&(e+=1),i=i.repeat(e)}return e==x4.BODY&&(n=`${i}${n}`),n}static line_wrap(t,e,n){let i=!0;0!=e.indexOf(\\\\\\\"#if\\\\\\\")&&0!=e.indexOf(\\\\\\\"#endif\\\\\\\")||(i=!1);let s=E4[n];if(n==x4.BODY&&(s=s.repeat(this.node_distance_to_material(t))),e=`${s}${e}`,i){const t=e[e.length-1],i=M4[n];t!=i&&\\\\\\\"{\\\\\\\"!=t&&\\\\\\\"}\\\\\\\"!=t&&(e+=i)}return e}static post_line_separator(t){return t==x4.BODY?\\\\\\\"\\\\t\\\\\\\":\\\\\\\"\\\\\\\"}static node_distance_to_material(t){const e=t.parent();if(!e)return 0;if(e.context()!=t.context())return 1;{let n=1;return t.type()!=ns.INPUT&&t.type()!=ns.OUTPUT||(n=0),n+this.node_distance_to_material(e)}}}class C4{constructor(t,e,n){this._node_traverser=t,this._root_nodes_for_shader_method=e,this._assembler=n,this._param_configs_controller=new PF,this._param_configs_set_allowed=!0,this._lines=new Map}shaderNames(){return this._node_traverser.shaderNames()}buildFromNodes(t,e){this._node_traverser.traverse(t);const n=new Map;for(let t of this.shaderNames()){const e=this._node_traverser.nodes_for_shader_name(t);n.set(t,e)}const i=this._node_traverser.sorted_nodes();for(let t of this.shaderNames()){const e=this._root_nodes_for_shader_method(t);for(let i of e)h.pushOnArrayAtEntry(n,t,i)}const s=new Map;for(let t of i)s.set(t.graphNodeId(),!0);for(let e of t)s.get(e.graphNodeId())||(i.push(e),s.set(e.graphNodeId(),!0));for(let t of i)t.reset_code();for(let t of e)t.reset_code();this._shaders_collection_controller=new A4(this.shaderNames(),this.shaderNames()[0],this._assembler),this.reset();for(let t of this.shaderNames()){let e=n.get(t)||[];if(e=f.uniq(e),this._shaders_collection_controller.set_current_shader_name(t),e)for(let t of e)t.setLines(this._shaders_collection_controller)}if(this._param_configs_set_allowed){for(let t of e)t.setParamConfigs();this.setParamConfigs(e)}this.set_code_lines(i)}shaders_collection_controller(){return this._shaders_collection_controller}disallow_new_param_configs(){this._param_configs_set_allowed=!1}allow_new_param_configs(){this._param_configs_set_allowed=!0}reset(){for(let t of this.shaderNames()){const e=new Map;this._lines.set(t,e)}}param_configs(){return this._param_configs_controller.list()||[]}lines(t,e){var n;return(null===(n=this._lines.get(t))||void 0===n?void 0:n.get(e))||[]}all_lines(){return this._lines}setParamConfigs(t){this._param_configs_controller.reset();for(let e of t){const t=e.param_configs();if(t)for(let e of t)this._param_configs_controller.push(e)}}set_code_lines(t){for(let e of this.shaderNames())this.add_code_lines(t,e)}add_code_lines(t,e){this.addDefinitions(t,e,Af.FUNCTION,x4.FUNCTION_DECLARATION),this.addDefinitions(t,e,Af.UNIFORM,x4.DEFINE),this.addDefinitions(t,e,Af.VARYING,x4.DEFINE),this.addDefinitions(t,e,Af.ATTRIBUTE,x4.DEFINE),this.add_code_line_for_nodes_and_line_type(t,e,x4.BODY)}addDefinitions(t,e,n,i){if(!this._shaders_collection_controller)return;const s=[];for(let i of t){let t=this._shaders_collection_controller.definitions(e,i);if(t){t=t.filter((t=>t.definition_type==n));for(let e of t)s.push(e)}}if(s.length>0){const t=new Tf(s),n=t.uniq();if(t.errored)throw`code builder error: ${t.error_message}`;const r=new Map,o=new Map;for(let t of n){const e=t.node.graphNodeId();o.has(e)||o.set(e,!0),h.pushOnArrayAtEntry(r,e,t)}const a=this._lines.get(e);o.forEach(((t,e)=>{const n=r.get(e);if(n){const t=n[0];if(t){const e=S4.node_comment(t.node,i);h.pushOnArrayAtEntry(a,i,e);for(let e of n){const n=S4.line_wrap(t.node,e.line,i);h.pushOnArrayAtEntry(a,i,n)}const s=S4.post_line_separator(i);h.pushOnArrayAtEntry(a,i,s)}}}))}}add_code_line_for_nodes_and_line_type(t,e,n){var i=(t=t.filter((t=>{if(this._shaders_collection_controller){const n=this._shaders_collection_controller.body_lines(e,t);return n&&n.length>0}}))).length;for(let s=0;s0){const r=this._lines.get(e),o=S4.node_comment(t,n);if(h.pushOnArrayAtEntry(r,n,o),f.uniq(s).forEach((e=>{e=S4.line_wrap(t,e,n),h.pushOnArrayAtEntry(r,n,e)})),n!=x4.BODY||!i){const t=S4.post_line_separator(n);h.pushOnArrayAtEntry(r,n,t)}}}}class N4{constructor(t,e,n){this._parent_node=t,this._shader_names=e,this._input_names_for_shader_name_method=n,this._leaves_graph_id=new Map,this._graph_ids_by_shader_name=new Map,this._outputs_by_graph_id=new Map,this._depth_by_graph_id=new Map,this._graph_id_by_depth=new Map,this._graph=this._parent_node.scene().graph}reset(){this._leaves_graph_id.clear(),this._graph_ids_by_shader_name.clear(),this._outputs_by_graph_id.clear(),this._depth_by_graph_id.clear(),this._graph_id_by_depth.clear(),this._shader_names.forEach((t=>{this._graph_ids_by_shader_name.set(t,new Map)}))}shaderNames(){return this._shader_names}input_names_for_shader_name(t,e){return this._input_names_for_shader_name_method(t,e)}traverse(t){this.reset();for(let t of this.shaderNames())this._leaves_graph_id.set(t,new Map);for(let e of this.shaderNames()){this._shader_name=e;for(let e of t)this.find_leaves_from_root_node(e),this.set_nodes_depth()}this._depth_by_graph_id.forEach(((t,e)=>{null!=t&&h.pushOnArrayAtEntry(this._graph_id_by_depth,t,e)}))}leaves_from_nodes(t){var e;this._shader_name=Mf.LEAVES_FROM_NODES_SHADER,this._graph_ids_by_shader_name.set(this._shader_name,new Map),this._leaves_graph_id.set(this._shader_name,new Map);for(let e of t)this.find_leaves(e);const n=[];return null===(e=this._leaves_graph_id.get(this._shader_name))||void 0===e||e.forEach(((t,e)=>{n.push(e)})),this._graph.nodesFromIds(n)}nodes_for_shader_name(t){const e=[];this._graph_id_by_depth.forEach(((t,n)=>{e.push(n)})),e.sort(((t,e)=>t-e));const n=[],i=new Map;return e.forEach((e=>{const s=this._graph_id_by_depth.get(e);s&&s.forEach((e=>{var s;if(null===(s=this._graph_ids_by_shader_name.get(t))||void 0===s?void 0:s.get(e)){const s=this._graph.nodeFromId(e);this.add_nodes_with_children(s,i,n,t)}}))})),n}sorted_nodes(){const t=[];this._graph_id_by_depth.forEach(((e,n)=>{t.push(n)})),t.sort(((t,e)=>t-e));const e=[],n=new Map;return t.forEach((t=>{const i=this._graph_id_by_depth.get(t);if(i)for(let t of i){const i=this._graph.nodeFromId(t);i&&this.add_nodes_with_children(i,n,e)}})),e}add_nodes_with_children(t,e,n,i){if(e.get(t.graphNodeId())||(n.push(t),e.set(t.graphNodeId(),!0)),t.type()==ns.INPUT){const s=t.parent();if(s){const r=this.sorted_nodes_for_shader_name_for_parent(s,i);for(let s of r)s.graphNodeId()!=t.graphNodeId()&&this.add_nodes_with_children(s,e,n,i)}}}sorted_nodes_for_shader_name_for_parent(t,e){const n=[];this._graph_id_by_depth.forEach(((t,e)=>{n.push(e)})),n.sort(((t,e)=>t-e));const i=[];n.forEach((n=>{const s=this._graph_id_by_depth.get(n);s&&s.forEach((n=>{var s;if(!e||(null===(s=this._graph_ids_by_shader_name.get(e))||void 0===s?void 0:s.get(n))){const e=this._graph.nodeFromId(n);e.parent()==t&&i.push(e)}}))}));const s=i[0];return t.context()==s.context()&&i.push(t),i}find_leaves_from_root_node(t){var e;null===(e=this._graph_ids_by_shader_name.get(this._shader_name))||void 0===e||e.set(t.graphNodeId(),!0);const n=this.input_names_for_shader_name(t,this._shader_name);if(n)for(let e of n){const n=t.io.inputs.named_input(e);n&&(h.pushOnArrayAtEntry(this._outputs_by_graph_id,n.graphNodeId(),t.graphNodeId()),this.find_leaves(n))}this._outputs_by_graph_id.forEach(((t,e)=>{this._outputs_by_graph_id.set(e,f.uniq(t))}))}find_leaves(t){var e;null===(e=this._graph_ids_by_shader_name.get(this._shader_name))||void 0===e||e.set(t.graphNodeId(),!0);const n=this._find_inputs_or_children(t),i=f.compact(n),s=f.uniq(i.map((t=>t.graphNodeId()))).map((t=>this._graph.nodeFromId(t)));if(s.length>0)for(let e of s)h.pushOnArrayAtEntry(this._outputs_by_graph_id,e.graphNodeId(),t.graphNodeId()),this.find_leaves(e);else this._leaves_graph_id.get(this._shader_name).set(t.graphNodeId(),!0)}_find_inputs_or_children(t){var e,n;if(t.type()==ns.INPUT)return(null===(e=t.parent())||void 0===e?void 0:e.io.inputs.inputs())||[];if(t.childrenAllowed()){return[null===(n=t.childrenController)||void 0===n?void 0:n.output_node()]}return t.io.inputs.inputs()}set_nodes_depth(){this._leaves_graph_id.forEach(((t,e)=>{t.forEach(((t,e)=>{this.set_node_depth(e)}))}))}set_node_depth(t,e=0){const n=this._depth_by_graph_id.get(t);null!=n?this._depth_by_graph_id.set(t,Math.max(n,e)):this._depth_by_graph_id.set(t,e);const i=this._outputs_by_graph_id.get(t);i&&i.forEach((t=>{this.set_node_depth(t,e+1)}))}}const L4=new Map([[Mf.VERTEX,\\\\\\\"#include \\\\\\\"],[Mf.FRAGMENT,\\\\\\\"#include \\\\\\\"]]),O4=new Map([[Mf.VERTEX,\\\\\\\"#include \\\\\\\"],[Mf.FRAGMENT,\\\\\\\"vec4 diffuseColor = vec4( diffuse, opacity );\\\\\\\"]]),P4=new Map([[Mf.VERTEX,[\\\\\\\"#include \\\\\\\",\\\\\\\"#include \\\\\\\"]],[Mf.FRAGMENT,[]]]);class R4 extends class{}{constructor(t){super(),this._gl_parent_node=t,this._shaders_by_name=new Map,this._lines=new Map,this._root_nodes=[],this._leaf_nodes=[],this._uniforms_time_dependent=!1,this._uniforms_resolution_dependent=!1}setGlParentNode(t){this._overriden_gl_parent_node=t}currentGlParentNode(){return this._overriden_gl_parent_node||this._gl_parent_node}compile(){}_template_shader_for_shader_name(t){var e,n;switch(t){case Mf.VERTEX:return null===(e=this.templateShader())||void 0===e?void 0:e.vertexShader;case Mf.FRAGMENT:return null===(n=this.templateShader())||void 0===n?void 0:n.fragmentShader}}get globals_handler(){var t;return null===(t=this.currentGlParentNode().assemblerController)||void 0===t?void 0:t.globals_handler}compileAllowed(){var t;return null!=(null===(t=this.currentGlParentNode().assemblerController)||void 0===t?void 0:t.globals_handler)}shaders_by_name(){return this._shaders_by_name}_build_lines(){for(let t of this.shaderNames()){const e=this._template_shader_for_shader_name(t);e&&this._replace_template(e,t)}}set_root_nodes(t){this._root_nodes=t}templateShader(){}addUniforms(t){for(let e of this.param_configs())t[e.uniform_name]=e.uniform;this.uniformsTimeDependent()&&(t.time={value:this.currentGlParentNode().scene().time()}),this.uniforms_resolution_dependent()&&(t.resolution={value:new d.a(1e3,1e3)})}root_nodes_by_shader_name(t){const e=[];for(let t of this._root_nodes)switch(t.type()){case OF.type():case IF.type():e.push(t);break;case wf.type():case Ff.type():e.push(t)}return e}leaf_nodes_by_shader_name(t){const e=[];for(let t of this._leaf_nodes)switch(t.type()){case II.type():e.push(t);break;case wf.type():}return e}set_node_lines_globals(t,e){}set_node_lines_output(t,e){}set_node_lines_attribute(t,e){}codeBuilder(){return this._code_builder=this._code_builder||this._create_code_builder()}_resetCodeBuilder(){this._code_builder=void 0}_create_code_builder(){const t=new N4(this.currentGlParentNode(),this.shaderNames(),((t,e)=>this.input_names_for_shader_name(t,e)));return new C4(t,(t=>this.root_nodes_by_shader_name(t)),this)}build_code_from_nodes(t){const e=Df.findParamGeneratingNodes(this.currentGlParentNode());this.codeBuilder().buildFromNodes(t,e)}allow_new_param_configs(){this.codeBuilder().allow_new_param_configs()}disallow_new_param_configs(){this.codeBuilder().disallow_new_param_configs()}builder_param_configs(){return this.codeBuilder().param_configs()}builder_lines(t,e){return this.codeBuilder().lines(t,e)}all_builder_lines(){return this.codeBuilder().all_lines()}param_configs(){return(this._param_config_owner||this.codeBuilder()).param_configs()}set_param_configs_owner(t){this._param_config_owner=t,this._param_config_owner?this.codeBuilder().disallow_new_param_configs():this.codeBuilder().allow_new_param_configs()}static output_input_connection_points(){return[new qo(\\\\\\\"position\\\\\\\",Uo.VEC3),new qo(\\\\\\\"normal\\\\\\\",Uo.VEC3),new qo(\\\\\\\"color\\\\\\\",Uo.VEC3),new qo(\\\\\\\"alpha\\\\\\\",Uo.FLOAT),new qo(\\\\\\\"uv\\\\\\\",Uo.VEC2)]}add_output_inputs(t){t.io.inputs.setNamedInputConnectionPoints(R4.output_input_connection_points())}static create_globals_node_output_connections(){return[new qo(\\\\\\\"position\\\\\\\",Uo.VEC3),new qo(\\\\\\\"normal\\\\\\\",Uo.VEC3),new qo(\\\\\\\"color\\\\\\\",Uo.VEC3),new qo(\\\\\\\"uv\\\\\\\",Uo.VEC2),new qo(\\\\\\\"mvPosition\\\\\\\",Uo.VEC4),new qo(\\\\\\\"worldPosition\\\\\\\",Uo.VEC4),new qo(\\\\\\\"worldNormal\\\\\\\",Uo.VEC3),new qo(\\\\\\\"gl_Position\\\\\\\",Uo.VEC4),new qo(\\\\\\\"gl_FragCoord\\\\\\\",Uo.VEC4),new qo(\\\\\\\"cameraPosition\\\\\\\",Uo.VEC3),new qo(\\\\\\\"resolution\\\\\\\",Uo.VEC2),new qo(\\\\\\\"time\\\\\\\",Uo.FLOAT)]}create_globals_node_output_connections(){return R4.create_globals_node_output_connections()}add_globals_outputs(t){t.io.outputs.setNamedOutputConnectionPoints(this.create_globals_node_output_connections())}allow_attribute_exports(){return!1}reset_configs(){this._reset_shader_configs(),this._reset_variable_configs(),this._resetUniformsTimeDependency(),this._reset_uniforms_resolution_dependency()}shaderConfigs(){return this._shader_configs=this._shader_configs||this.create_shader_configs()}set_shader_configs(t){this._shader_configs=t}shaderNames(){var t;return(null===(t=this.shaderConfigs())||void 0===t?void 0:t.map((t=>t.name())))||[]}_reset_shader_configs(){this._shader_configs=void 0}create_shader_configs(){return[new b4(Mf.VERTEX,[\\\\\\\"position\\\\\\\",\\\\\\\"normal\\\\\\\",\\\\\\\"uv\\\\\\\",Ff.INPUT_NAME],[]),new b4(Mf.FRAGMENT,[\\\\\\\"color\\\\\\\",\\\\\\\"alpha\\\\\\\"],[Mf.VERTEX])]}shader_config(t){var e;return null===(e=this.shaderConfigs())||void 0===e?void 0:e.filter((e=>e.name()==t))[0]}variable_configs(){return this._variable_configs=this._variable_configs||this.create_variable_configs()}set_variable_configs(t){this._variable_configs=t}variable_config(t){return this.variable_configs().filter((e=>e.name()==t))[0]}static create_variable_configs(){return[new w4(\\\\\\\"position\\\\\\\",{default_from_attribute:!0,prefix:\\\\\\\"vec3 transformed = \\\\\\\"}),new w4(\\\\\\\"normal\\\\\\\",{default_from_attribute:!0,prefix:\\\\\\\"vec3 objectNormal = \\\\\\\",postLines:[\\\\\\\"#ifdef USE_TANGENT\\\\\\\",\\\\\\\"\\\\tvec3 objectTangent = vec3( tangent.xyz );\\\\\\\",\\\\\\\"#endif\\\\\\\"]}),new w4(\\\\\\\"color\\\\\\\",{prefix:\\\\\\\"diffuseColor.xyz = \\\\\\\"}),new w4(\\\\\\\"alpha\\\\\\\",{prefix:\\\\\\\"diffuseColor.a = \\\\\\\"}),new w4(\\\\\\\"uv\\\\\\\",{prefix:\\\\\\\"vUv = \\\\\\\",if:Pf.IF_RULE.uv})]}create_variable_configs(){return R4.create_variable_configs()}_reset_variable_configs(){this._variable_configs=void 0,this.variable_configs()}input_names_for_shader_name(t,e){var n;return(null===(n=this.shader_config(e))||void 0===n?void 0:n.input_names())||[]}_resetUniformsTimeDependency(){this._uniforms_time_dependent=!1}setUniformsTimeDependent(){this._uniforms_time_dependent=!0}uniformsTimeDependent(){return this._uniforms_time_dependent}_reset_uniforms_resolution_dependency(){this._uniforms_resolution_dependent=!1}set_uniforms_resolution_dependent(){this._uniforms_resolution_dependent=!0}uniforms_resolution_dependent(){return this._uniforms_resolution_dependent}insert_define_after(t){return L4.get(t)}insert_body_after(t){return O4.get(t)}lines_to_remove(t){return P4.get(t)}_replace_template(t,e){const n=this.builder_lines(e,x4.FUNCTION_DECLARATION),i=this.builder_lines(e,x4.DEFINE),s=this.builder_lines(e,x4.BODY);let r=t.split(\\\\\\\"\\\\n\\\\\\\");const o=[],a=this.insert_define_after(e),l=this.insert_body_after(e),c=this.lines_to_remove(e);let h=!1,u=!1;for(let t of r){1==h&&(n&&this._insert_lines(o,n),i&&this._insert_lines(o,i),h=!1),1==u&&(s&&this._insert_lines(o,s),u=!1);let e=!1;if(c)for(let n of c)t.indexOf(n)>=0&&(e=!0);e?(o.push(\\\\\\\"// removed:\\\\\\\"),o.push(`//${t}`)):o.push(t),a&&t.indexOf(a)>=0&&(h=!0),l&&t.indexOf(l)>=0&&(u=!0)}this._lines.set(e,o)}_insert_lines(t,e){if(e.length>0){for(let e=0;e<3;e++)t.push(\\\\\\\"\\\\\\\");for(let n of e)t.push(n);for(let e=0;e<3;e++)t.push(\\\\\\\"\\\\\\\")}}_addFilterFragmentShaderCallback(t,e){}_removeFilterFragmentShaderCallback(t){}getCustomMaterials(){return new Map}static expandShader(t){return function t(e){return e.replace(/^[ \\\\t]*#include +<([\\\\w\\\\d./]+)>/gm,(function(e,n){var i=U[n];if(void 0===i)throw new Error(\\\\\\\"Can not resolve #include <\\\\\\\"+n+\\\\\\\">\\\\\\\");return t(i)}))}(t)}}var I4,F4;!function(t){t.DISTANCE=\\\\\\\"customDistanceMaterial\\\\\\\",t.DEPTH=\\\\\\\"customDepthMaterial\\\\\\\",t.DEPTH_DOF=\\\\\\\"customDepthDOFMaterial\\\\\\\"}(I4||(I4={})),function(t){t.TIME=\\\\\\\"time\\\\\\\",t.RESOLUTION=\\\\\\\"resolution\\\\\\\",t.MV_POSITION=\\\\\\\"mvPosition\\\\\\\",t.GL_POSITION=\\\\\\\"gl_Position\\\\\\\",t.GL_FRAGCOORD=\\\\\\\"gl_FragCoord\\\\\\\",t.GL_POINTCOORD=\\\\\\\"gl_PointCoord\\\\\\\"}(F4||(F4={}));const D4=[F4.GL_FRAGCOORD,F4.GL_POINTCOORD];class B4 extends R4{constructor(){super(...arguments),this._assemblers_by_custom_name=new Map,this._filterFragmentShaderCallbacks=new Map}createMaterial(){return new F}custom_assembler_class_by_custom_name(){}_addCustomMaterials(t){const e=this.custom_assembler_class_by_custom_name();e&&e.forEach(((e,n)=>{this._add_custom_material(t,n,e)}))}_add_custom_material(t,e,n){let i=this._assemblers_by_custom_name.get(e);i||(i=new n(this.currentGlParentNode()),this._assemblers_by_custom_name.set(e,i)),t.customMaterials=t.customMaterials||{};const s=i.createMaterial();s.name=e,t.customMaterials[e]=s}compileCustomMaterials(t){const e=this.custom_assembler_class_by_custom_name();e&&e.forEach(((e,n)=>{if(this._code_builder){let i=this._assemblers_by_custom_name.get(n);i||(i=new e(this.currentGlParentNode()),this._assemblers_by_custom_name.set(n,i)),i.set_root_nodes(this._root_nodes),i.set_param_configs_owner(this._code_builder),i.set_shader_configs(this.shaderConfigs()),i.set_variable_configs(this.variable_configs());const s=t.customMaterials[n];s&&(i.setFilterFragmentShaderMethodOwner(this),i.compileMaterial(s),i.setFilterFragmentShaderMethodOwner(void 0))}}))}_resetFilterFragmentShaderCallbacks(){this._filterFragmentShaderCallbacks.clear()}_addFilterFragmentShaderCallback(t,e){this._filterFragmentShaderCallbacks.set(t,e)}_removeFilterFragmentShaderCallback(t){this._filterFragmentShaderCallbacks.delete(t)}setFilterFragmentShaderMethodOwner(t){this._filterFragmentShaderMethodOwner=t}filterFragmentShader(t){return this._filterFragmentShaderCallbacks.forEach(((e,n)=>{t=e(t)})),t}processFilterFragmentShader(t){return this._filterFragmentShaderMethodOwner?this._filterFragmentShaderMethodOwner.filterFragmentShader(t):this.filterFragmentShader(t)}compileMaterial(t){if(!this.compileAllowed())return;const e=Df.findOutputNodes(this.currentGlParentNode());e.length>1&&this.currentGlParentNode().states.error.set(\\\\\\\"only one output node allowed\\\\\\\");const n=Df.findVaryingNodes(this.currentGlParentNode()),i=e.concat(n);this.set_root_nodes(i),this._update_shaders();const s=this._shaders_by_name.get(Mf.VERTEX),r=this._shaders_by_name.get(Mf.FRAGMENT);s&&r&&(t.vertexShader=s,t.fragmentShader=this.processFilterFragmentShader(r),this.addUniforms(t.uniforms),t.needsUpdate=!0);const o=this.currentGlParentNode().scene();this.uniformsTimeDependent()?o.uniformsController.addTimeDependentUniformOwner(t.uuid,t.uniforms):o.uniformsController.removeTimeDependentUniformOwner(t.uuid),this.uniforms_resolution_dependent()?o.uniformsController.addResolutionDependentUniformOwner(t.uuid,t.uniforms):o.uniformsController.removeResolutionDependentUniformOwner(t.uuid),t.customMaterials&&this.compileCustomMaterials(t)}_update_shaders(){this._shaders_by_name=new Map,this._lines=new Map;for(let t of this.shaderNames()){const e=this._template_shader_for_shader_name(t);e&&this._lines.set(t,e.split(\\\\\\\"\\\\n\\\\\\\"))}this._root_nodes.length>0&&(this.build_code_from_nodes(this._root_nodes),this._build_lines());for(let t of this.shaderNames()){const e=this._lines.get(t);e&&this._shaders_by_name.set(t,e.join(\\\\\\\"\\\\n\\\\\\\"))}}shadow_assembler_class_by_custom_name(){return{}}add_output_body_line(t,e,n){var i;const s=t.io.inputs.named_input(n),r=t.variableForInput(n),o=this.variable_config(n);let a=null;if(s)a=mf.vector3(r);else if(o.default_from_attribute()){const s=t.io.inputs.namedInputConnectionPointsByName(n);if(s){const r=s.type(),o=null===(i=this.globals_handler)||void 0===i?void 0:i.read_attribute(t,r,n,e);o&&(a=o)}}else{const t=o.default();t&&(a=t)}if(a){const n=o.prefix(),i=o.suffix(),s=o.if_condition();s&&e.addBodyLines(t,[`#if ${s}`]),e.addBodyLines(t,[`${n}${a}${i}`]);const r=o.postLines();r&&e.addBodyLines(t,r),s&&e.addBodyLines(t,[\\\\\\\"#endif\\\\\\\"])}}set_node_lines_output(t,e){var n;const i=e.current_shader_name,s=null===(n=this.shader_config(i))||void 0===n?void 0:n.input_names();if(s)for(let n of s)t.io.inputs.has_named_input(n)&&this.add_output_body_line(t,e,n)}set_node_lines_attribute(t,e){var n;const i=t.gl_type(),s=null===(n=this.globals_handler)||void 0===n?void 0:n.read_attribute(t,i,t.attribute_name,e),r=t.glVarName(t.output_name);e.addBodyLines(t,[`${i} ${r} = ${s}`])}handle_globals_output_name(t){var e;switch(t.output_name){case F4.TIME:return void this.handleTime(t);case F4.RESOLUTION:return void this.handle_resolution(t);case F4.MV_POSITION:return void this.handle_mvPosition(t);case F4.GL_POSITION:return void this.handle_gl_Position(t);case F4.GL_FRAGCOORD:return void this.handle_gl_FragCoord(t);case F4.GL_POINTCOORD:return void this.handle_gl_PointCoord(t);default:null===(e=this.globals_handler)||void 0===e||e.handle_globals_node(t.globals_node,t.output_name,t.shaders_collection_controller)}}handleTime(t){const e=new Nf(t.globals_node,Uo.FLOAT,t.output_name);t.globals_shader_name&&h.pushOnArrayAtEntry(t.definitions_by_shader_name,t.globals_shader_name,e);const n=`float ${t.var_name} = ${t.output_name}`;for(let i of t.dependencies)h.pushOnArrayAtEntry(t.definitions_by_shader_name,i,e),h.pushOnArrayAtEntry(t.body_lines_by_shader_name,i,n);t.body_lines.push(n),this.setUniformsTimeDependent()}handle_resolution(t){t.body_lines.push(`vec2 ${t.var_name} = resolution`);const e=new Nf(t.globals_node,Uo.VEC2,t.output_name);t.globals_shader_name&&h.pushOnArrayAtEntry(t.definitions_by_shader_name,t.globals_shader_name,e);for(let n of t.dependencies)h.pushOnArrayAtEntry(t.definitions_by_shader_name,n,e);this.set_uniforms_resolution_dependent()}handle_mvPosition(t){if(t.shader_name==Mf.FRAGMENT){const e=t.globals_node,n=t.shaders_collection_controller,i=new Lf(e,Uo.VEC4,t.var_name),s=`${t.var_name} = modelViewMatrix * vec4(position, 1.0)`;n.addDefinitions(e,[i],Mf.VERTEX),n.addBodyLines(e,[s],Mf.VERTEX),n.addDefinitions(e,[i])}}handle_gl_Position(t){if(t.shader_name==Mf.FRAGMENT){const e=t.globals_node,n=t.shaders_collection_controller,i=new Lf(e,Uo.VEC4,t.var_name),s=`${t.var_name} = projectionMatrix * modelViewMatrix * vec4(position, 1.0)`;n.addDefinitions(e,[i],Mf.VERTEX),n.addBodyLines(e,[s],Mf.VERTEX),n.addDefinitions(e,[i])}}handle_gl_FragCoord(t){t.shader_name==Mf.FRAGMENT&&t.body_lines.push(`vec4 ${t.var_name} = gl_FragCoord`)}handle_gl_PointCoord(t){t.shader_name==Mf.FRAGMENT?t.body_lines.push(`vec2 ${t.var_name} = gl_PointCoord`):t.body_lines.push(`vec2 ${t.var_name} = vec2(0.0, 0.0)`)}set_node_lines_globals(t,e){const n=[],i=e.current_shader_name,s=this.shader_config(i);if(!s)return;const r=s.dependencies(),o=new Map,a=new Map,l=this.used_output_names_for_shader(t,i);for(let s of l){const l=t.glVarName(s),c=e.current_shader_name,h={globals_node:t,shaders_collection_controller:e,output_name:s,globals_shader_name:c,definitions_by_shader_name:o,body_lines:n,var_name:l,shader_name:i,dependencies:r,body_lines_by_shader_name:a};this.handle_globals_output_name(h)}o.forEach(((n,i)=>{e.addDefinitions(t,n,i)})),a.forEach(((n,i)=>{e.addBodyLines(t,n,i)})),e.addBodyLines(t,n)}used_output_names_for_shader(t,e){const n=t.io.outputs.used_output_names(),i=[];for(let t of n)e==Mf.VERTEX&&D4.includes(t)||i.push(t);return i}}const z4=new Map([[Mf.VERTEX,\\\\\\\"#include \\\\\\\"],[Mf.FRAGMENT,\\\\\\\"vec4 diffuseColor = vec4( 1.0 );\\\\\\\"]]);const k4=new Map([[Mf.VERTEX,\\\\\\\"#include \\\\\\\"],[Mf.FRAGMENT,\\\\\\\"vec4 diffuseColor = vec4( 1.0 );\\\\\\\"]]);var U4=\\\\\\\"uniform float mNear;\\\\nuniform float mFar;\\\\n\\\\nvarying float vViewZDepth;\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tfloat color = 1.0 - smoothstep( mNear, mFar, vViewZDepth );\\\\n\\\\tgl_FragColor = vec4( vec3( color ), 1.0 );\\\\n\\\\n}\\\\n\\\\\\\";const G4=new Map([[Mf.VERTEX,\\\\\\\"// INSERT DEFINES\\\\\\\"]]),V4=new Map([[Mf.VERTEX,\\\\\\\"// INSERT BODY\\\\\\\"]]);const H4=new Map([]);H4.set(I4.DISTANCE,class extends B4{templateShader(){const t=H.distanceRGBA;return{vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,uniforms:t.uniforms}}insert_body_after(t){return z4.get(t)}createMaterial(){const t=this.templateShader();return new F({defines:{DEPTH_PACKING:[w.Hb,w.j][0]},uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader})}}),H4.set(I4.DEPTH,class extends B4{templateShader(){const t=H.depth;return{vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,uniforms:t.uniforms}}insert_body_after(t){return k4.get(t)}createMaterial(){const t=this.templateShader();return new F({defines:{DEPTH_PACKING:[w.Hb,w.j][0]},uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader})}}),H4.set(I4.DEPTH_DOF,class extends B4{templateShader(){return{vertexShader:\\\\\\\"#include \\\\n\\\\nvarying float vViewZDepth;\\\\n\\\\n// INSERT DEFINES\\\\n\\\\n\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t// INSERT BODY\\\\n\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvViewZDepth = - mvPosition.z;\\\\n}\\\\\\\",fragmentShader:U4,uniforms:{mNear:{value:0},mFar:{value:10}}}}insert_define_after(t){return G4.get(t)}insert_body_after(t){return V4.get(t)}createMaterial(){const t=this.templateShader();return new F({uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader})}});class j4 extends B4{custom_assembler_class_by_custom_name(){return H4}}class W4 extends j4{templateShader(){const t=H.basic;return{vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,uniforms:t.uniforms}}createMaterial(){const t=this.templateShader(),e=new F({lights:!1,uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader});return this._addCustomMaterials(e),e}}class q4 extends j4{templateShader(){const t=H.lambert;return{vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,uniforms:t.uniforms}}createMaterial(){const t=this.templateShader(),e=new F({lights:!0,uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader});return this._addCustomMaterials(e),e}}class X4 extends j4{templateShader(){const t=H.phong;return{vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,uniforms:t.uniforms}}createMaterial(){const t=this.templateShader(),e=new F({lights:!0,uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader});return this._addCustomMaterials(e),e}}var Y4=\\\\\\\"SSSModel(/*isActive*/false,/*color*/vec3(1.0, 1.0, 1.0), /*thickness*/0.1, /*power*/2.0, /*scale*/16.0, /*distortion*/0.1,/*ambient*/0.4,/*attenuation*/0.8 )\\\\\\\";class $4 extends j4{constructor(t){super(t),this._gl_parent_node=t,this._addFilterFragmentShaderCallback(\\\\\\\"MeshStandardBuilderMatNode\\\\\\\",$4.filterFragmentShader)}isPhysical(){return!1}templateShader(){const t=this.isPhysical()?H.physical:H.standard;return{vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,uniforms:t.uniforms}}static filterFragmentShader(t){return t=(t=(t=t.replace(\\\\\\\"#include \\\\\\\",\\\\\\\"float metalnessFactor = metalness * POLY_metalness;\\\\n\\\\n#ifdef USE_METALNESSMAP\\\\n\\\\n\\\\tvec4 texelMetalness = texture2D( metalnessMap, vUv );\\\\n\\\\n\\\\t// reads channel B, compatible with a combined OcclusionRoughnessMetallic (RGB) texture\\\\n\\\\tmetalnessFactor *= texelMetalness.b;\\\\n\\\\n#endif\\\\n\\\\\\\")).replace(\\\\\\\"#include \\\\\\\",\\\\\\\"float roughnessFactor = roughness * POLY_roughness;\\\\n\\\\n#ifdef USE_ROUGHNESSMAP\\\\n\\\\n\\\\tvec4 texelRoughness = texture2D( roughnessMap, vUv );\\\\n\\\\n\\\\t// reads channel G, compatible with a combined OcclusionRoughnessMetallic (RGB) texture\\\\n\\\\troughnessFactor *= texelRoughness.g;\\\\n\\\\n#endif\\\\n\\\\\\\")).replace(\\\\\\\"vec3 totalEmissiveRadiance = emissive;\\\\\\\",\\\\\\\"vec3 totalEmissiveRadiance = emissive * POLY_emissive;\\\\\\\"),$4.USE_SSS&&(t=(t=t.replace(/void main\\\\s?\\\\(\\\\) {/,\\\\\\\"struct SSSModel {\\\\n\\\\tbool isActive;\\\\n\\\\tvec3 color;\\\\n\\\\tfloat thickness;\\\\n\\\\tfloat power;\\\\n\\\\tfloat scale;\\\\n\\\\tfloat distortion;\\\\n\\\\tfloat ambient;\\\\n\\\\tfloat attenuation;\\\\n};\\\\n\\\\nvoid RE_Direct_Scattering(\\\\n\\\\tconst in IncidentLight directLight,\\\\n\\\\tconst in GeometricContext geometry,\\\\n\\\\tconst in SSSModel sssModel,\\\\n\\\\tinout ReflectedLight reflectedLight\\\\n\\\\t){\\\\n\\\\tvec3 scatteringHalf = normalize(directLight.direction + (geometry.normal * sssModel.distortion));\\\\n\\\\tfloat scatteringDot = pow(saturate(dot(geometry.viewDir, -scatteringHalf)), sssModel.power) * sssModel.scale;\\\\n\\\\tvec3 scatteringIllu = (scatteringDot + sssModel.ambient) * (sssModel.color * (1.0-sssModel.thickness));\\\\n\\\\treflectedLight.directDiffuse += scatteringIllu * sssModel.attenuation * directLight.color;\\\\n}\\\\n\\\\nvoid main() {\\\\\\\")).replace(\\\\\\\"#include \\\\\\\",\\\\\\\"#include \\\\nif(POLY_SSSModel.isActive){\\\\n\\\\tRE_Direct_Scattering(directLight, geometry, POLY_SSSModel, reflectedLight);\\\\n}\\\\n\\\\n\\\\\\\")),t}createMaterial(){const t=this.templateShader(),e={lights:!0,extensions:{derivatives:!0},uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader},n=new F(e);return this.isPhysical()&&(n.defines.PHYSICAL=!0),this._addCustomMaterials(n),n}add_output_inputs(t){const e=R4.output_input_connection_points();e.push(new qo(\\\\\\\"metalness\\\\\\\",Uo.FLOAT,1)),e.push(new qo(\\\\\\\"roughness\\\\\\\",Uo.FLOAT,1)),e.push(new qo(\\\\\\\"emissive\\\\\\\",Uo.VEC3,[1,1,1])),$4.USE_SSS&&e.push(new qo(\\\\\\\"SSSModel\\\\\\\",Uo.SSS_MODEL,Y4)),this.isPhysical()&&(e.push(new qo(\\\\\\\"transmission\\\\\\\",Uo.FLOAT,1)),e.push(new qo(\\\\\\\"thickness\\\\\\\",Uo.FLOAT,1))),t.io.inputs.setNamedInputConnectionPoints(e)}create_shader_configs(){const t=[\\\\\\\"color\\\\\\\",\\\\\\\"alpha\\\\\\\",\\\\\\\"metalness\\\\\\\",\\\\\\\"roughness\\\\\\\",\\\\\\\"emissive\\\\\\\",\\\\\\\"SSSModel\\\\\\\"];return this.isPhysical()&&(t.push(\\\\\\\"transmission\\\\\\\"),t.push(\\\\\\\"thickness\\\\\\\")),[new b4(Mf.VERTEX,[\\\\\\\"position\\\\\\\",\\\\\\\"normal\\\\\\\",\\\\\\\"uv\\\\\\\"],[]),new b4(Mf.FRAGMENT,t,[Mf.VERTEX])]}create_variable_configs(){const t=R4.create_variable_configs();return t.push(new w4(\\\\\\\"metalness\\\\\\\",{default:\\\\\\\"1.0\\\\\\\",prefix:\\\\\\\"float POLY_metalness = \\\\\\\"})),t.push(new w4(\\\\\\\"roughness\\\\\\\",{default:\\\\\\\"1.0\\\\\\\",prefix:\\\\\\\"float POLY_roughness = \\\\\\\"})),t.push(new w4(\\\\\\\"emissive\\\\\\\",{default:\\\\\\\"vec3(1.0, 1.0, 1.0)\\\\\\\",prefix:\\\\\\\"vec3 POLY_emissive = \\\\\\\"})),$4.USE_SSS&&t.push(new w4(\\\\\\\"SSSModel\\\\\\\",{default:Y4,prefix:\\\\\\\"SSSModel POLY_SSSModel = \\\\\\\"})),this.isPhysical()&&(t.push(new w4(\\\\\\\"transmission\\\\\\\",{default:\\\\\\\"1.0\\\\\\\",prefix:\\\\\\\"float POLY_transmission = \\\\\\\"})),t.push(new w4(\\\\\\\"thickness\\\\\\\",{default:\\\\\\\"1.0\\\\\\\",prefix:\\\\\\\"float POLY_thickness = \\\\\\\"}))),t}}$4.USE_SSS=!0;class J4 extends $4{constructor(t){super(t),this._gl_parent_node=t,this._addFilterFragmentShaderCallback(\\\\\\\"MeshPhysicalBuilderMatNode\\\\\\\",J4.filterFragmentShader)}isPhysical(){return!0}static filterFragmentShader(t){return t=t.replace(\\\\\\\"#include \\\\\\\",function(t){const e=t.split(\\\\\\\"\\\\n\\\\\\\");let n=0;for(let t of e)t.includes(\\\\\\\"float transmissionFactor = transmission;\\\\\\\")&&(t=\\\\\\\"float transmissionFactor = transmission * POLY_transmission;\\\\\\\",e[n]=t),t.includes(\\\\\\\"float thicknessFactor = thickness;\\\\\\\")&&(t=\\\\\\\"float thicknessFactor = thickness * POLY_thickness;\\\\\\\",e[n]=t),n++;return e.join(\\\\\\\"\\\\n\\\\\\\")}(k))}}const Z4=new Map([[Mf.VERTEX,\\\\\\\"// INSERT DEFINES\\\\\\\"]]),K4=new Map([[Mf.VERTEX,\\\\\\\"// INSERT BODY\\\\\\\"]]);const Q4=new Map([[Mf.VERTEX,\\\\\\\"// INSERT DEFINES\\\\\\\"]]),t5=new Map([[Mf.VERTEX,\\\\\\\"// INSERT BODY\\\\\\\"]]);const e5=new Map([[Mf.VERTEX,[\\\\\\\"#include \\\\\\\",\\\\\\\"gl_PointSize = size;\\\\\\\"]],[Mf.FRAGMENT,[]]]),n5=new Map;n5.set(I4.DISTANCE,class extends B4{templateShader(){const t=H.distanceRGBA,e=I.clone(t.uniforms);return e.size={value:1},e.scale={value:1},{vertexShader:\\\\\\\"uniform float size;\\\\nuniform float scale;\\\\n#define DISTANCE\\\\nvarying vec3 vWorldPosition;\\\\n#include \\\\n#include \\\\nvarying float vViewZDepth;\\\\n\\\\n// INSERT DEFINES\\\\n\\\\n\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t// INSERT BODY\\\\n\\\\n\\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\t#include \\\\n\\\\n\\\\t#ifdef USE_SIZEATTENUATION\\\\n\\\\t\\\\tbool isPerspective = ( projectionMatrix[ 2 ][ 3 ] == - 1.0 );\\\\n\\\\t\\\\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\\\\n\\\\t#endif\\\\n\\\\tvWorldPosition = worldPosition.xyz;\\\\n}\\\\n\\\\n// #define DISTANCE\\\\n// varying vec3 vWorldPosition;\\\\n// #include \\\\n// #include \\\\n// #include \\\\n// #include \\\\n// #include \\\\n// #include \\\\n// void main() {\\\\n// \\\\t#include \\\\n// \\\\t#include \\\\n// \\\\t#ifdef USE_DISPLACEMENTMAP\\\\n// \\\\t\\\\t#include \\\\n// \\\\t\\\\t#include \\\\n// \\\\t\\\\t#include \\\\n// \\\\t#endif\\\\n// \\\\t#include \\\\n// \\\\t#include \\\\n// \\\\t#include \\\\n// \\\\t#include \\\\n// \\\\t#include \\\\n// \\\\t#include \\\\n// \\\\t#include \\\\n// \\\\tvWorldPosition = worldPosition.xyz;\\\\n// }\\\\n\\\\n\\\\n\\\\\\\",fragmentShader:t.fragmentShader,uniforms:e}}insert_define_after(t){return Z4.get(t)}insert_body_after(t){return K4.get(t)}createMaterial(){const t=this.templateShader();return new F({defines:{USE_SIZEATTENUATION:1,DEPTH_PACKING:[w.Hb,w.j][0]},uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader})}}),n5.set(I4.DEPTH_DOF,class extends B4{templateShader(){return{vertexShader:\\\\\\\"uniform float size;\\\\nuniform float scale;\\\\n#include \\\\n\\\\nvarying float vViewZDepth;\\\\n\\\\n// INSERT DEFINES\\\\n\\\\n\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t// INSERT BODY\\\\n\\\\n\\\\n\\\\t#include \\\\n\\\\n\\\\tvViewZDepth = - mvPosition.z;\\\\n\\\\t#ifdef USE_SIZEATTENUATION\\\\n\\\\t\\\\tbool isPerspective = ( projectionMatrix[ 2 ][ 3 ] == - 1.0 );\\\\n\\\\t\\\\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\\\\n\\\\t#endif\\\\n\\\\n}\\\\n\\\\n\\\\\\\",fragmentShader:U4,uniforms:{size:{value:1},scale:{value:1},mNear:{value:0},mFar:{value:10}}}}insert_define_after(t){return Q4.get(t)}insert_body_after(t){return t5.get(t)}createMaterial(){const t=this.templateShader();return new F({depthTest:!0,defines:{USE_SIZEATTENUATION:1},uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader})}});class i5 extends B4{custom_assembler_class_by_custom_name(){return n5}templateShader(){const t=H.points;return{vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,uniforms:t.uniforms}}createMaterial(){const t=this.templateShader(),e=new F({transparent:!0,fog:!0,defines:{USE_SIZEATTENUATION:1},uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader});return this._addCustomMaterials(e),e}add_output_inputs(t){const e=R4.output_input_connection_points();e.push(new qo(\\\\\\\"gl_PointSize\\\\\\\",Uo.FLOAT)),t.io.inputs.setNamedInputConnectionPoints(e)}create_globals_node_output_connections(){return R4.create_globals_node_output_connections().concat([new qo(F4.GL_POINTCOORD,Uo.VEC2)])}create_shader_configs(){return[new b4(Mf.VERTEX,[\\\\\\\"position\\\\\\\",\\\\\\\"normal\\\\\\\",\\\\\\\"uv\\\\\\\",\\\\\\\"gl_PointSize\\\\\\\"],[]),new b4(Mf.FRAGMENT,[\\\\\\\"color\\\\\\\",\\\\\\\"alpha\\\\\\\"],[Mf.VERTEX])]}create_variable_configs(){return R4.create_variable_configs().concat([new w4(\\\\\\\"gl_PointSize\\\\\\\",{default:\\\\\\\"1.0\\\\\\\",prefix:\\\\\\\"gl_PointSize = \\\\\\\",suffix:\\\\\\\" * size * 10.0\\\\\\\"})])}lines_to_remove(t){return e5.get(t)}}const s5=new Map([[Mf.VERTEX,\\\\\\\"// INSERT DEFINES\\\\\\\"]]),r5=new Map([[Mf.VERTEX,\\\\\\\"// INSERT BODY\\\\\\\"]]);const o5=new Map([]);o5.set(I4.DEPTH_DOF,class extends B4{templateShader(){return{vertexShader:\\\\\\\"uniform float scale;\\\\nattribute float lineDistance;\\\\nvarying float vLineDistance;\\\\n#include \\\\n\\\\nvarying float vViewZDepth;\\\\n\\\\n// INSERT DEFINES\\\\n\\\\n\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\t// INSERT BODY\\\\n\\\\n\\\\n\\\\tvLineDistance = scale * lineDistance;\\\\n\\\\tgl_Position = projectionMatrix * mvPosition;\\\\n\\\\n\\\\tvViewZDepth = - mvPosition.z;\\\\n\\\\n\\\\n}\\\\n\\\\n\\\\n\\\\n\\\\\\\",fragmentShader:U4,uniforms:{scale:{value:1},mNear:{value:0},mFar:{value:10}}}}insert_define_after(t){return s5.get(t)}insert_body_after(t){return r5.get(t)}createMaterial(){const t=this.templateShader();return new F({depthTest:!0,linewidth:100,uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader})}});const a5=new Map([[Mf.VERTEX,[\\\\\\\"#include \\\\\\\",\\\\\\\"#include \\\\\\\"]],[Mf.FRAGMENT,[]]]);class l5 extends B4{templateShader(){const t=H.dashed;return{vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,uniforms:t.uniforms}}createMaterial(){const t=this.templateShader(),e=new F({depthTest:!0,alphaTest:.5,linewidth:1,uniforms:I.clone(t.uniforms),vertexShader:t.vertexShader,fragmentShader:t.fragmentShader});return this._addCustomMaterials(e),e}custom_assembler_class_by_custom_name(){return o5}create_shader_configs(){return[new b4(Mf.VERTEX,[\\\\\\\"position\\\\\\\",\\\\\\\"uv\\\\\\\"],[]),new b4(Mf.FRAGMENT,[\\\\\\\"color\\\\\\\",\\\\\\\"alpha\\\\\\\"],[Mf.VERTEX])]}static output_input_connection_points(){return[new qo(\\\\\\\"position\\\\\\\",Uo.VEC3),new qo(\\\\\\\"color\\\\\\\",Uo.VEC3),new qo(\\\\\\\"alpha\\\\\\\",Uo.FLOAT),new qo(\\\\\\\"uv\\\\\\\",Uo.VEC2)]}add_output_inputs(t){t.io.inputs.setNamedInputConnectionPoints(l5.output_input_connection_points())}static create_globals_node_output_connections(){return[new qo(\\\\\\\"position\\\\\\\",Uo.VEC3),new qo(\\\\\\\"color\\\\\\\",Uo.VEC3),new qo(\\\\\\\"uv\\\\\\\",Uo.VEC2),new qo(\\\\\\\"gl_FragCoord\\\\\\\",Uo.VEC4),new qo(\\\\\\\"resolution\\\\\\\",Uo.VEC2),new qo(\\\\\\\"time\\\\\\\",Uo.FLOAT)]}create_globals_node_output_connections(){return l5.create_globals_node_output_connections()}create_variable_configs(){return[new w4(\\\\\\\"position\\\\\\\",{default:\\\\\\\"vec3( position )\\\\\\\",prefix:\\\\\\\"vec3 transformed = \\\\\\\",suffix:\\\\\\\";vec4 mvPosition = vec4( transformed, 1.0 ); gl_Position = projectionMatrix * modelViewMatrix * mvPosition;\\\\\\\"}),new w4(\\\\\\\"color\\\\\\\",{prefix:\\\\\\\"diffuseColor.xyz = \\\\\\\"}),new w4(\\\\\\\"alpha\\\\\\\",{prefix:\\\\\\\"diffuseColor.w = \\\\\\\"}),new w4(\\\\\\\"uv\\\\\\\",{prefix:\\\\\\\"vUv = \\\\\\\",if:Pf.IF_RULE.uv})]}lines_to_remove(t){return a5.get(t)}}class c5 extends R4{templateShader(){}_template_shader_for_shader_name(t){return\\\\\\\"#include \\\\n\\\\n// INSERT DEFINE\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvec2 particleUV = (gl_FragCoord.xy / resolution.xy);\\\\n\\\\n\\\\t// INSERT BODY\\\\n\\\\n}\\\\\\\"}compile(){this.setup_shader_names_and_variables(),this.update_shaders()}root_nodes_by_shader_name(t){var e,n;const i=[];for(let s of this._root_nodes)switch(s.type()){case OF.type():i.push(s);break;case wf.type():{const r=s.attribute_name,o=null===(e=this._texture_allocations_controller)||void 0===e?void 0:e.variable(r);if(o&&o.allocation()){(null===(n=o.allocation())||void 0===n?void 0:n.shaderName())==t&&i.push(s)}break}}return i}leaf_nodes_by_shader_name(t){var e,n;const i=[];for(let s of this._leaf_nodes)switch(s.type()){case II.type():i.push(s);break;case wf.type():{const r=s.attribute_name,o=null===(e=this._texture_allocations_controller)||void 0===e?void 0:e.variable(r);if(o&&o.allocation()){(null===(n=o.allocation())||void 0===n?void 0:n.shaderName())==t&&i.push(s)}break}}return i}setup_shader_names_and_variables(){var t;const e=new N4(this.currentGlParentNode(),this.shaderNames(),((t,e)=>this.input_names_for_shader_name(t,e)));this._leaf_nodes=e.leaves_from_nodes(this._root_nodes),this._texture_allocations_controller=new c1,this._texture_allocations_controller.allocateConnectionsFromRootNodes(this._root_nodes,this._leaf_nodes),this.globals_handler&&(null===(t=this.globals_handler)||void 0===t||t.set_texture_allocations_controller(this._texture_allocations_controller)),this._reset_shader_configs()}update_shaders(){this._shaders_by_name.clear(),this._lines.clear();for(let t of this.shaderNames()){const e=this._template_shader_for_shader_name(t);this._lines.set(t,e.split(\\\\\\\"\\\\n\\\\\\\"))}this._root_nodes.length>0&&(this._resetCodeBuilder(),this.build_code_from_nodes(this._root_nodes),this._build_lines());for(let t of this.shaderNames()){const e=this._lines.get(t);e&&this._shaders_by_name.set(t,e.join(\\\\\\\"\\\\n\\\\\\\"))}}add_output_inputs(t){t.io.inputs.setNamedInputConnectionPoints([new qo(\\\\\\\"position\\\\\\\",Uo.VEC3),new qo(\\\\\\\"velocity\\\\\\\",Uo.VEC3)])}add_globals_outputs(t){t.io.outputs.setNamedOutputConnectionPoints([new qo(\\\\\\\"position\\\\\\\",Uo.VEC3),new qo(\\\\\\\"velocity\\\\\\\",Uo.VEC3),new qo(\\\\\\\"time\\\\\\\",Uo.FLOAT)])}allow_attribute_exports(){return!0}textureAllocationsController(){return this._texture_allocations_controller=this._texture_allocations_controller||new c1}create_shader_configs(){var t;return(null===(t=this._texture_allocations_controller)||void 0===t?void 0:t.createShaderConfigs())||[]}create_variable_configs(){return[]}shaderNames(){return this.textureAllocationsController().shaderNames()||[]}input_names_for_shader_name(t,e){return this.textureAllocationsController().inputNamesForShaderName(t,e)||[]}insert_define_after(t){return\\\\\\\"// INSERT DEFINE\\\\\\\"}insert_body_after(t){return\\\\\\\"// INSERT BODY\\\\\\\"}lines_to_remove(t){return[\\\\\\\"// INSERT DEFINE\\\\\\\",\\\\\\\"// INSERT BODY\\\\\\\"]}add_export_body_line(t,e,n,i,s){var r;if(n){const n=t.variableForInput(e),o=mf.vector3(n);if(o){const e=this.textureAllocationsController().variable(i),n=s.current_shader_name;if(e&&(null===(r=e.allocation())||void 0===r?void 0:r.shaderName())==n){const i=`gl_FragColor.${e.component()} = ${o}`;s.addBodyLines(t,[i],n)}}}}set_node_lines_output(t,e){const n=e.current_shader_name,i=this.textureAllocationsController().inputNamesForShaderName(t,n);if(i)for(let n of i){const i=t.io.inputs.named_input(n);if(i){const s=n;this.add_export_body_line(t,n,i,s,e)}}}set_node_lines_attribute(t,e){var n,i;if(t.isImporting()){const s=t.gl_type(),r=t.attribute_name,o=null===(n=this.globals_handler)||void 0===n?void 0:n.read_attribute(t,s,r,e),a=t.glVarName(t.output_name),l=`${s} ${a} = ${o}`;e.addBodyLines(t,[l]);const c=this.textureAllocationsController().variable(r),h=e.current_shader_name;if(c&&(null===(i=c.allocation())||void 0===i?void 0:i.shaderName())==h){const n=this.textureAllocationsController().variable(r);if(n){const i=`gl_FragColor.${n.component()} = ${a}`;e.addBodyLines(t,[i])}}}if(t.isExporting()){const n=t.connected_input_node();if(n){const i=t.attribute_name;this.add_export_body_line(t,t.input_name,n,i,e)}}}set_node_lines_globals(t,e){for(let n of t.io.outputs.used_output_names())switch(n){case\\\\\\\"time\\\\\\\":this._handle_globals_time(t,n,e);break;default:this._handle_globals_default(t,n,e)}}_handle_globals_time(t,e,n){const i=new Nf(t,Uo.FLOAT,e);n.addDefinitions(t,[i]);const s=`float ${t.glVarName(e)} = ${e}`;n.addBodyLines(t,[s]),this.setUniformsTimeDependent()}_handle_globals_default(t,e,n){var i;const s=t.io.outputs.namedOutputConnectionPointsByName(e);if(s){const r=s.type(),o=null===(i=this.globals_handler)||void 0===i?void 0:i.read_attribute(t,r,e,n);if(o){const i=`${r} ${t.glVarName(e)} = ${o}`;n.addBodyLines(t,[i])}}}}class h5 extends R4{templateShader(){return{fragmentShader:\\\\\\\"#include \\\\n\\\\nuniform vec2 resolution;\\\\n\\\\n// INSERT DEFINE\\\\n\\\\nvoid main() {\\\\n\\\\n\\\\tvec4 diffuseColor = vec4(0.0,0.0,0.0,1.0);\\\\n\\\\n\\\\n\\\\t// INSERT BODY\\\\n\\\\n\\\\tgl_FragColor = vec4( diffuseColor );\\\\n}\\\\\\\",vertexShader:void 0,uniforms:void 0}}fragment_shader(){return this._shaders_by_name.get(Mf.FRAGMENT)}uniforms(){return this._uniforms}update_fragment_shader(){this._lines=new Map,this._shaders_by_name=new Map;for(let t of this.shaderNames())if(t==Mf.FRAGMENT){const e=this.templateShader().fragmentShader;this._lines.set(t,e.split(\\\\\\\"\\\\n\\\\\\\"))}this._root_nodes.length>0&&(this.build_code_from_nodes(this._root_nodes),this._build_lines()),this._uniforms=this._uniforms||{},this.addUniforms(this._uniforms);for(let t of this.shaderNames()){const e=this._lines.get(t);e&&this._shaders_by_name.set(t,e.join(\\\\\\\"\\\\n\\\\\\\"))}rg.handleDependencies(this.currentGlParentNode(),this.uniformsTimeDependent(),this._uniforms)}add_output_inputs(t){t.io.inputs.setNamedInputConnectionPoints([new qo(\\\\\\\"color\\\\\\\",Uo.VEC3),new qo(\\\\\\\"alpha\\\\\\\",Uo.FLOAT)])}add_globals_outputs(t){t.io.outputs.setNamedOutputConnectionPoints([new qo(\\\\\\\"gl_FragCoord\\\\\\\",Uo.VEC2),new qo(\\\\\\\"time\\\\\\\",Uo.FLOAT)])}create_shader_configs(){return[new b4(Mf.FRAGMENT,[\\\\\\\"color\\\\\\\",\\\\\\\"alpha\\\\\\\"],[])]}create_variable_configs(){return[new w4(\\\\\\\"color\\\\\\\",{prefix:\\\\\\\"diffuseColor.xyz = \\\\\\\"}),new w4(\\\\\\\"alpha\\\\\\\",{prefix:\\\\\\\"diffuseColor.a = \\\\\\\",default:\\\\\\\"1.0\\\\\\\"})]}insert_define_after(t){return\\\\\\\"// INSERT DEFINE\\\\\\\"}insert_body_after(t){return\\\\\\\"// INSERT BODY\\\\\\\"}lines_to_remove(t){return[\\\\\\\"// INSERT DEFINE\\\\\\\",\\\\\\\"// INSERT BODY\\\\\\\"]}handle_gl_FragCoord(t,e,n){\\\\\\\"fragment\\\\\\\"==e&&t.push(`vec2 ${n} = vec2(gl_FragCoord.x / resolution.x, gl_FragCoord.y / resolution.y)`)}set_node_lines_output(t,e){const n=this.input_names_for_shader_name(t,e.current_shader_name);if(n)for(let i of n){if(t.io.inputs.named_input(i)){const n=t.variableForInput(i);let s;\\\\\\\"color\\\\\\\"==i&&(s=`diffuseColor.xyz = ${mf.any(n)}`),\\\\\\\"alpha\\\\\\\"==i&&(s=`diffuseColor.a = ${mf.any(n)}`),s&&e.addBodyLines(t,[s])}}}set_node_lines_globals(t,e){const n=e.current_shader_name;if(!this.shader_config(n))return;const i=[],s=[];for(let e of t.io.outputs.used_output_names()){const r=t.glVarName(e);switch(e){case\\\\\\\"time\\\\\\\":s.push(new Nf(t,Uo.FLOAT,e)),i.push(`float ${r} = ${e}`),this.setUniformsTimeDependent();break;case\\\\\\\"gl_FragCoord\\\\\\\":this.handle_gl_FragCoord(i,n,r)}}e.addDefinitions(t,s,n),e.addBodyLines(t,i)}}const u5=new Map([]);class d5 extends B4{custom_assembler_class_by_custom_name(){return u5}}const p5=new Map([[Mf.VERTEX,\\\\\\\"// start builder body code\\\\\\\"],[Mf.FRAGMENT,\\\\\\\"// start builder body code\\\\\\\"]]),_5=new Map([[Mf.FRAGMENT,[]]]);class m5 extends d5{templateShader(){return{vertexShader:Uk,fragmentShader:Gk,uniforms:I.clone(Vk)}}createMaterial(){const t=this.templateShader(),e=new F({vertexShader:t.vertexShader,fragmentShader:t.fragmentShader,side:w.H,transparent:!0,depthTest:!0,uniforms:I.clone(t.uniforms)});return yr.add_user_data_render_hook(e,jk.render_hook.bind(jk)),this._addCustomMaterials(e),e}add_output_inputs(t){t.io.inputs.setNamedInputConnectionPoints([new qo(\\\\\\\"density\\\\\\\",Uo.FLOAT,1)])}static create_globals_node_output_connections(){return[new qo(\\\\\\\"position\\\\\\\",Uo.VEC3),new qo(\\\\\\\"pos_normalized\\\\\\\",Uo.VEC3),new qo(\\\\\\\"time\\\\\\\",Uo.FLOAT)]}create_globals_node_output_connections(){return m5.create_globals_node_output_connections()}insert_body_after(t){return p5.get(t)}lines_to_remove(t){return _5.get(t)}create_shader_configs(){return[new b4(Mf.VERTEX,[],[]),new b4(Mf.FRAGMENT,[\\\\\\\"density\\\\\\\"],[Mf.VERTEX])]}static create_variable_configs(){return[new w4(\\\\\\\"position\\\\\\\",{}),new w4(\\\\\\\"density\\\\\\\",{prefix:\\\\\\\"density *= \\\\\\\"})]}create_variable_configs(){return m5.create_variable_configs()}set_node_lines_globals(t,e){const n=[],i=e.current_shader_name,s=this.shader_config(i);if(!s)return;const r=s.dependencies(),o=new Map,a=new Map;let l,c;for(let s of t.io.outputs.used_output_names()){const u=t.glVarName(s),d=e.current_shader_name;switch(s){case\\\\\\\"time\\\\\\\":l=new Nf(t,Uo.FLOAT,s),d&&h.pushOnArrayAtEntry(o,d,l),c=`float ${u} = ${s}`;for(let t of r)h.pushOnArrayAtEntry(o,t,l),h.pushOnArrayAtEntry(a,t,c);n.push(c),this.setUniformsTimeDependent();break;case\\\\\\\"position\\\\\\\":i==Mf.FRAGMENT&&n.push(`vec3 ${u} = position_for_step`);break;case\\\\\\\"pos_normalized\\\\\\\":i==Mf.FRAGMENT&&n.push(`vec3 ${u} = (position_for_step - u_BoundingBoxMax) / (u_BoundingBoxMax - u_BoundingBoxMin)`)}}o.forEach(((n,i)=>{e.addDefinitions(t,n,i)})),a.forEach(((n,i)=>{e.addBodyLines(t,n,i)})),e.addBodyLines(t,n)}}class f5{static async run(){this._started||(this._started=!0,class{static async run(t){(class{static run(t){t.registerNode(k_,ec),t.registerNode(G_,sc),t.registerNode(H_,ec),t.registerNode(W_,ec),t.registerNode(tm,ec),t.registerNode(nm,tc),t.registerNode(sm,ec),t.registerNode(om,sc),t.registerNode(lm,ic),t.registerNode(mm,ic),t.registerNode(gm,ec),t.registerNode(ym,tc),t.registerNode(Sm,ic),t.registerNode(Lm,nc),t.registerNode(Om,nc),t.registerNode(Pm,nc),t.registerNode(Rm,nc),t.registerNode(sf,nc),t.registerNode(rf,nc)}}).run(t),class{static run(t){t.registerNode(rg,rc),t.registerNode(Og,oc),t.registerNode(Rg,oc),t.registerNode(kg,oc),t.registerNode(Hg,oc),t.registerNode(sv,oc),t.registerNode(lv,oc),t.registerNode(pv,ac),t.registerNode(mv,ac),t.registerNode(vv,ac),t.registerNode(Tv,ac),t.registerNode(Mv,ac),t.registerNode(Cv,rc),t.registerNode(Ov,oc),t.registerNode(Iv,rc),t.registerNode(Bv,lc),t.registerNode(kv,lc),t.registerNode(zv,lc),t.registerNode(Uv,lc),t.registerNode(Gv,lc),t.registerNode(Vv,lc)}}.run(t),class{static run(t){t.registerNode(qv,dc),t.registerNode($v,uc),t.registerNode(Zv,uc),t.registerNode(ty,uc),t.registerNode(hy,cc),t.registerNode(Ty,cc),t.registerNode(wy,cc),t.registerNode(My,uc),t.registerNode(Tl,hc),t.registerNode(ox,cc),t.registerNode(hl,hc),t.registerNode(hx,uc),t.registerNode(dx,uc),t.registerNode(IL,cc),t.registerNode(Ja,hc),t.registerNode(zL,dc),t.registerNode(VL,uc),t.registerNode(ZL,hc),t.registerNode(el,hc),t.registerNode(xO,uc),t.registerNode(rl,dc),t.registerNode(AO,dc),t.registerNode(FO,dc),t.registerNode(BO,uc),t.registerNode(UO,uc),t.registerNode(Ml,hc),t.registerNode(VO,uc),t.registerNode(ml,hc),t.registerNode(WO,pc),t.registerNode(qO,pc),t.registerNode(XO,pc),t.registerNode(YO,pc),t.registerNode($O,pc),t.registerNode(JO,pc)}}.run(t),class{static run(t){t.registerNode(FP,xc),t.registerNode(LR,bc),t.registerNode(DP,Tc),t.registerNode(mR,xc),t.registerNode(FR,Tc),t.registerNode(bR,yc),t.registerNode(BP,Tc),t.registerNode(zP,Tc),t.registerNode(wf,gc,{except:[`${ts.COP}/builder`]}),t.registerNode(aP,mc),t.registerNode(kP,xc),t.registerNode(uR,xc),t.registerNode(kR,_c),t.registerNode(qR,yc),t.registerNode(XR,xc),t.registerNode(JR,gc),t.registerNode(UP,Tc),t.registerNode(QR,fc),t.registerNode(tI,xc),t.registerNode(GP,mc),t.registerNode(iI,fc),t.registerNode(nR,fc),t.registerNode(fR,xc),t.registerNode(iR,fc),t.registerNode(uI,xc),t.registerNode(VP,xc),t.registerNode(HP,xc),t.registerNode(dR,fc),t.registerNode(_I,xc),t.registerNode(fI,xc),t.registerNode(vI,xc),t.registerNode(xI,xc),t.registerNode(QO,mc),t.registerNode(cP,mc),t.registerNode(uP,mc),t.registerNode(pP,mc),t.registerNode(jP,xc),t.registerNode(TI,_c),t.registerNode(PI,yc),t.registerNode(WP,xc),t.registerNode(II,gc),t.registerNode(DI,_c),t.registerNode(zI,_c),t.registerNode(GI,yc),t.registerNode(HI,Ac),t.registerNode(rP,mc),t.registerNode(nP,mc),t.registerNode(qP,xc),t.registerNode(JI,fc),t.registerNode(ZI,fc),t.registerNode(QI,_c),t.registerNode(XP,xc),t.registerNode(YP,xc),t.registerNode(sR,xc),t.registerNode(eF,xc),t.registerNode(rR,xc),t.registerNode(oR,xc),t.registerNode(oF,xc),t.registerNode(iF,xc),t.registerNode(vR,xc),t.registerNode(cF,xc),t.registerNode(hF,xc),t.registerNode(NF,Ac),t.registerNode(CF,fc),t.registerNode($P,xc),t.registerNode(wR,yc),t.registerNode(OF,gc),t.registerNode(IF,gc),t.registerNode(aR,xc),t.registerNode(kF,wc),t.registerNode(HF,wc),t.registerNode(jF,wc),t.registerNode(WF,wc),t.registerNode(YF,gc),t.registerNode(ZF,gc),t.registerNode(JP,mc),t.registerNode(lR,fc),t.registerNode(FF,fc),t.registerNode(QF,_c),t.registerNode(lD,fc),t.registerNode(hD,xc),t.registerNode(ZP,xc),t.registerNode(KP,Tc),t.registerNode(pR,xc),t.registerNode(dD,fc),t.registerNode(QP,xc),t.registerNode(zF,vc),t.registerNode(cR,fc),t.registerNode(CI,yc),t.registerNode(_D,yc,RD),t.registerNode(MI,yc,RD),t.registerNode(gR,xc),t.registerNode(fD,yc),t.registerNode(tR,Tc),t.registerNode(vD,_c),t.registerNode(wD,gc),t.registerNode(MD,yc),t.registerNode(Ff,gc),t.registerNode(CD,gc),t.registerNode(xP,mc),t.registerNode(MP,mc),t.registerNode(bP,mc),t.registerNode(AP,mc),t.registerNode(EP,mc),t.registerNode(wP,mc),t.registerNode(TP,mc),t.registerNode(LD,fc),t.registerNode(PD,fc)}}.run(t),class{static run(t){t.registerNode(BD,Mc),t.registerNode(kD,Mc),t.registerNode(GD,Mc),t.registerNode(YD,Mc)}}.run(t),class{static run(t){t.registerNode(iB,Sc),t.registerNode(mB,Sc),t.registerNode(qB,Cc),t.registerNode(KB,Ec),t.registerNode(sz,Cc),t.registerNode(hz,Ec),t.registerNode(Mz,Cc),t.registerNode(Nz,Cc),t.registerNode(Fz,Cc),t.registerNode(kz,Ec),t.registerNode(Jz,Cc),t.registerNode(tk,Ec),t.registerNode(sk,Cc),t.registerNode(lk,Ec),t.registerNode(xk,Cc),t.registerNode(Ek,Cc),t.registerNode(Lk,Lc),t.registerNode(Rk,Ec),t.registerNode(Dk,Ec),t.registerNode(kk,Cc),t.registerNode(Xk,Oc),t.registerNode(Jk,Oc),t.registerNode(Qk,Nc),t.registerNode(tU,Nc),t.registerNode(eU,Nc),t.registerNode(nU,Nc),t.registerNode(iU,Nc),t.registerNode(sU,Nc)}}.run(t),class{static run(t){t.registerNode(dU,Dc),t.registerNode(IU,Dc),t.registerNode(WU,Dc),t.registerNode(KU,Dc),t.registerNode(sG,Dc),t.registerNode(dG,Dc),t.registerNode(wG,Rc),t.registerNode(SG,zc),t.registerNode(BG,Pc),t.registerNode(VG,Fc),t.registerNode(WG,zc),t.registerNode(JG,zc),t.registerNode(TV,Pc),t.registerNode(zV,Rc),t.registerNode(VV,zc),t.registerNode(WV,Pc),t.registerNode(nj,Ic),t.registerNode(oj,Ic),t.registerNode(cj,Ic),t.registerNode(pj,Bc),t.registerNode(_j,Bc),t.registerNode(mj,Bc),t.registerNode(fj,Bc),t.registerNode(gj,Bc),t.registerNode(vj,Bc)}}.run(t),class{static run(t){t.registerNode(Ej,eh),t.registerNode(Lj,eh),t.registerNode(Rj,th),t.registerNode(Dj,th),t.registerNode(kj,nh),t.registerNode(Gj,nh),t.registerNode(jj,nh),t.registerNode(qj,nh),t.registerNode(eW,eh),t.registerNode(Kj,eh),t.registerNode(rW,eh),t.registerNode(lW,nh),t.registerNode(uW,th),t.registerNode(pW,Qc),t.registerNode(mW,nh),t.registerNode(bW,nh),t.registerNode(TW,nh),t.registerNode(MW,nh),t.registerNode(CW,eh),t.registerNode(OW,eh),t.registerNode(RW,nh),t.registerNode(DW,eh),t.registerNode(kW,th),t.registerNode(GW,nh),t.registerNode(WW,Qc),t.registerNode($W,eh),t.registerNode(ZW,Qc),t.registerNode(tq,eh),t.registerNode(iq,ih),t.registerNode(sq,ih),t.registerNode(rq,ih),t.registerNode(oq,ih),t.registerNode(aq,ih),t.registerNode(lq,ih)}}.run(t),class{static run(t){t.registerNode(mq,kc),t.registerNode(SH,Gc),t.registerNode(fq,Uc),t.registerNode(uq,Uc),t.registerNode(gq,Uc),t.registerNode(vq,Uc),t.registerNode(yq,Uc),t.registerNode(xq,Uc)}}.run(t),class{static run(t){t.registerOperation(bq),t.registerOperation(Fq),t.registerOperation(Hq),t.registerOperation(Xq),t.registerOperation(Zq),t.registerOperation(uX),t.registerOperation(rX),t.registerOperation(fX),t.registerOperation($X),t.registerOperation(QX),t.registerOperation(E$),t.registerOperation(L$),t.registerOperation(HJ),t.registerOperation(XJ),t.registerOperation(KJ),t.registerOperation(uZ),t.registerOperation(UZ),t.registerOperation(rK),t.registerOperation(fQ),t.registerOperation(LQ),t.registerOperation(UQ),t.registerOperation(jQ),t.registerOperation(JQ),t.registerOperation(n0),t.registerOperation(f0),t.registerOperation(N0),t.registerOperation(d0),t.registerOperation(V0),t.registerOperation(X0),t.registerOperation(p1),t.registerOperation(x1),t.registerOperation(A1),t.registerOperation(O1),t.registerOperation(B1),t.registerOperation(Y1),t.registerOperation(i2),t.registerOperation(_2),t.registerOperation(v2),t.registerOperation(w2),t.registerOperation(L2),t.registerOperation(k2),t.registerOperation(J2),t.registerOperation(c9),t.registerOperation(x9),t.registerOperation(G9),t.registerOperation(W9),t.registerOperation(J9),t.registerOperation(t3),t.registerOperation(o3),t.registerOperation(M3),t.registerOperation(P3),t.registerOperation(D3),t.registerNode(Aq,qc),t.registerNode(Eq,Hc),t.registerNode(Iq,Hc),t.registerNode(zq,jc),t.registerNode(qq,jc),t.registerNode(Jq,jc),t.registerNode(eX,jc),t.registerNode(iX,jc),t.registerNode(lX,jc),t.registerNode(_X,jc),t.registerNode(xX,jc),t.registerNode(wX,jc),t.registerNode(AX,jc),t.registerNode(LX,jc),t.registerNode(PX,$c),t.registerNode(IX,$c),t.registerNode(KX,$c),t.registerNode(nY,Zc),t.registerNode(N$,Vc),t.registerNode(R$,Vc),t.registerNode(BJ,Yc),t.registerNode(VJ,Zc),t.registerNode(qJ,$c),t.registerNode($J,Zc),t.registerNode(eZ,Zc),t.registerNode(lZ,Zc),t.registerNode(_Z,$c),t.registerNode(xZ,$c),t.registerNode(TZ,Zc),t.registerNode(DZ,$c),t.registerNode(HZ,Zc),t.registerNode(YZ,qc),t.registerNode(nK,qc),t.registerNode(lK,Yc),t.registerNode(hK,Yc),t.registerNode(MK,$c),t.registerNode(SK,$c),t.registerNode(cQ,Vc),t.registerNode(uQ,$c),t.registerNode(yQ,qc),t.registerNode(bQ,qc),t.registerNode(TQ,$c),t.registerNode(SQ,Zc),t.registerNode(DQ,$c),t.registerNode(IQ,Yc),t.registerNode(HQ,Zc),t.registerNode(XQ,Kc),t.registerNode(QQ,$c),t.registerNode(e0,Kc),t.registerNode(r0,$c),t.registerNode(a0,$c),t.registerNode(c0,Zc),t.registerNode(u0,Vc),t.registerNode(m0,Kc),t.registerNode(x0,Yc),t.registerNode(P0,Zc),t.registerNode(k0,Yc),t.registerNode(G0,$c),t.registerNode(j0,Yc),t.registerNode(q0,qc),t.registerNode(J0,$c),t.registerNode(K0,Vc,{userAllowed:!1}),t.registerNode(d1,Wc),t.registerNode(f1,$c),t.registerNode(T1,Zc),t.registerNode(S1,$c),t.registerNode(U1,$c),t.registerNode(L1,$c),t.registerNode(I1,Xc),t.registerNode(yV,Vc),t.registerNode(q1,$c),t.registerNode(Z1,$c),t.registerNode(o2,Kc),t.registerNode(p2,$c),t.registerNode(g2,jc),t.registerNode(b2,qc),t.registerNode(M2,$c),t.registerNode(D2,$c),t.registerNode(I2,$c),t.registerNode(j2,Vc),t.registerNode(q2,Vc),t.registerNode(V2,$c),t.registerNode(Q2,Zc),t.registerNode(e9,$c),t.registerNode(d9,$c),t.registerNode(_9,Yc),t.registerNode(f9,Yc),t.registerNode(pV,Yc),t.registerNode(T9,qc),t.registerNode(E9,Yc),t.registerNode(N9,Zc),t.registerNode(U9,Zc),t.registerNode(j9,$c),t.registerNode(Y9,$c),t.registerNode(Q9,Zc),t.registerNode(i3,Zc),t.registerNode(c3,$c),t.registerNode(u3,$c),t.registerNode(f3,$c),t.registerNode(x3,$c),t.registerNode(T3,Zc),t.registerNode(S3,$c),t.registerNode(O3,$c),t.registerNode(F3,$c),t.registerNode(z3,$c),t.registerNode(G3,Jc),t.registerNode(V3,Jc),t.registerNode(H3,Jc),t.registerNode(j3,Jc),t.registerNode(W3,Jc),t.registerNode(q3,Jc)}}.run(t)}}.run(li),class{static run(t){t.registerCamera(nj),t.registerCamera(oj)}}.run(li),class{static run(t){t.expressionsRegister.register(Y3,\\\\\\\"arg\\\\\\\"),t.expressionsRegister.register($3,\\\\\\\"argc\\\\\\\"),t.expressionsRegister.register(K3,\\\\\\\"bbox\\\\\\\"),t.expressionsRegister.register(Q3,\\\\\\\"centroid\\\\\\\"),t.expressionsRegister.register(t4,\\\\\\\"ch\\\\\\\"),t.expressionsRegister.register(e4,\\\\\\\"copy\\\\\\\"),t.expressionsRegister.register(n4,\\\\\\\"copRes\\\\\\\"),t.expressionsRegister.register(i4,\\\\\\\"isDeviceMobile\\\\\\\"),t.expressionsRegister.register(s4,\\\\\\\"isDeviceTouch\\\\\\\"),t.expressionsRegister.register(r4,\\\\\\\"js\\\\\\\"),t.expressionsRegister.register(o4,\\\\\\\"object\\\\\\\"),t.expressionsRegister.register(a4,\\\\\\\"objectsCount\\\\\\\"),t.expressionsRegister.register(l4,\\\\\\\"opdigits\\\\\\\"),t.expressionsRegister.register(c4,\\\\\\\"opname\\\\\\\"),t.expressionsRegister.register(h4,\\\\\\\"padzero\\\\\\\"),t.expressionsRegister.register(u4,\\\\\\\"point\\\\\\\"),t.expressionsRegister.register(d4,\\\\\\\"pointsCount\\\\\\\"),t.expressionsRegister.register(p4,\\\\\\\"strCharsCount\\\\\\\"),t.expressionsRegister.register(_4,\\\\\\\"strConcat\\\\\\\"),t.expressionsRegister.register(m4,\\\\\\\"strIndex\\\\\\\"),t.expressionsRegister.register(f4,\\\\\\\"strSub\\\\\\\"),t.expressionsRegister.register(g4,\\\\\\\"windowSize\\\\\\\")}}.run(li),class{static run(t){t.assemblersRegister.register(jn.GL_MESH_BASIC,y4,W4),t.assemblersRegister.register(jn.GL_MESH_LAMBERT,y4,q4),t.assemblersRegister.register(jn.GL_MESH_PHONG,y4,X4),t.assemblersRegister.register(jn.GL_MESH_STANDARD,y4,$4),t.assemblersRegister.register(jn.GL_MESH_PHYSICAL,y4,J4),t.assemblersRegister.register(jn.GL_PARTICLES,y4,c5),t.assemblersRegister.register(jn.GL_POINTS,y4,i5),t.assemblersRegister.register(jn.GL_LINE,y4,l5),t.assemblersRegister.register(jn.GL_TEXTURE,y4,h5),t.assemblersRegister.register(jn.GL_VOLUME,y4,m5)}}.run(li))}}f5._started=!1,f5.run()}]);void 0===POLY&&console.error(\\\\\\\"esm-webpack-plugin: nothing exported!\\\\\\\");const _POLY$PolyScene=POLY.PolyScene,_POLY$Poly=POLY.Poly,_POLY$SceneJsonImporter=POLY.SceneJsonImporter,_POLY$SceneDataManifestImporter=POLY.SceneDataManifestImporter,_POLY$mountScene=POLY.mountScene;export{_POLY$PolyScene as PolyScene,_POLY$Poly as Poly,_POLY$SceneJsonImporter as SceneJsonImporter,_POLY$SceneDataManifestImporter as SceneDataManifestImporter,_POLY$mountScene as mountScene};\\n//# sourceMappingURL=all.js.map\"","status":200,"headers":{"content-type":"application/javascript","content-length":"2831720"}},"type":2,"external":true,"timestamp":1723918712294},{"data":{"url":"blob:https://ipfs.arkivo.art/f56e7010-3ced-49ab-9590-0c56cd4cb827","host":"","path":"https://ipfs.arkivo.art/f56e7010-3ced-49ab-9590-0c56cd4cb827","type":"http","query":"","method":"GET","headers":{"origin":"https://ipfs.arkivo.art","referer":"","user-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/119.0.6045.9 Safari/537.36"},"fragment":"","postData":null,"protocol":"blob:"},"type":1,"external":false,"timestamp":1723918712305},{"data":{"url":"blob:https://ipfs.arkivo.art/ac4d9395-2c8b-469c-b630-87d14869518e","host":"","path":"https://ipfs.arkivo.art/ac4d9395-2c8b-469c-b630-87d14869518e","type":"http","query":"","method":"GET","headers":{"referer":"","user-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/119.0.6045.9 Safari/537.36"},"fragment":"","postData":null,"protocol":"blob:"},"type":1,"external":false,"timestamp":1723918713282},{"data":{"url":"blob:https://ipfs.arkivo.art/669a8c25-8eb5-4ede-a190-4186c96354d0","host":"","path":"https://ipfs.arkivo.art/669a8c25-8eb5-4ede-a190-4186c96354d0","type":"http","query":"","method":"GET","headers":{"origin":"https://ipfs.arkivo.art","referer":"","user-agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) HeadlessChrome/119.0.6045.9 Safari/537.36"},"fragment":"","postData":null,"protocol":"blob:"},"type":1,"external":false,"timestamp":1723918713282},{"data":{"url":"blob:https://ipfs.arkivo.art/f56e7010-3ced-49ab-9590-0c56cd4cb827","body":"\"var __create = Object.create;\\nvar __defProp = Object.defineProperty;\\nvar __getProtoOf = Object.getPrototypeOf;\\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\\nvar __getOwnPropNames = Object.getOwnPropertyNames;\\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\\nvar __markAsModule = (target) => __defProp(target, \\\\\\\"__esModule\\\\\\\", {value: true});\\nvar __commonJS = (callback, module) => () => {\\n if (!module) {\\n module = {exports: {}};\\n callback(module.exports, module);\\n }\\n return module.exports;\\n};\\nvar __exportStar = (target, module, desc) => {\\n __markAsModule(target);\\n if (module && typeof module === \\\\\\\"object\\\\\\\" || typeof module === \\\\\\\"function\\\\\\\") {\\n for (let key of __getOwnPropNames(module))\\n if (!__hasOwnProp.call(target, key) && key !== \\\\\\\"default\\\\\\\")\\n __defProp(target, key, {get: () => module[key], enumerable: !(desc = __getOwnPropDesc(module, key)) || desc.enumerable});\\n }\\n return target;\\n};\\nvar __toModule = (module) => {\\n if (module && module.__esModule)\\n return module;\\n return __exportStar(__defProp(module != null ? __create(__getProtoOf(module)) : {}, \\\\\\\"default\\\\\\\", {value: module, enumerable: true}), module);\\n};\\n\\n// ../../../node_modules/lodash/_listCacheClear.js\\nvar require_listCacheClear = __commonJS((exports, module) => {\\n function listCacheClear() {\\n this.__data__ = [];\\n this.size = 0;\\n }\\n module.exports = listCacheClear;\\n});\\n\\n// ../../../node_modules/lodash/eq.js\\nvar require_eq = __commonJS((exports, module) => {\\n function eq(value, other) {\\n return value === other || value !== value && other !== other;\\n }\\n module.exports = eq;\\n});\\n\\n// ../../../node_modules/lodash/_assocIndexOf.js\\nvar require_assocIndexOf = __commonJS((exports, module) => {\\n var eq = require_eq();\\n function assocIndexOf(array, key) {\\n var length = array.length;\\n while (length--) {\\n if (eq(array[length][0], key)) {\\n return length;\\n }\\n }\\n return -1;\\n }\\n module.exports = assocIndexOf;\\n});\\n\\n// ../../../node_modules/lodash/_listCacheDelete.js\\nvar require_listCacheDelete = __commonJS((exports, module) => {\\n var assocIndexOf = require_assocIndexOf();\\n var arrayProto = Array.prototype;\\n var splice = arrayProto.splice;\\n function listCacheDelete(key) {\\n var data = this.__data__, index = assocIndexOf(data, key);\\n if (index < 0) {\\n return false;\\n }\\n var lastIndex = data.length - 1;\\n if (index == lastIndex) {\\n data.pop();\\n } else {\\n splice.call(data, index, 1);\\n }\\n --this.size;\\n return true;\\n }\\n module.exports = listCacheDelete;\\n});\\n\\n// ../../../node_modules/lodash/_listCacheGet.js\\nvar require_listCacheGet = __commonJS((exports, module) => {\\n var assocIndexOf = require_assocIndexOf();\\n function listCacheGet(key) {\\n var data = this.__data__, index = assocIndexOf(data, key);\\n return index < 0 ? void 0 : data[index][1];\\n }\\n module.exports = listCacheGet;\\n});\\n\\n// ../../../node_modules/lodash/_listCacheHas.js\\nvar require_listCacheHas = __commonJS((exports, module) => {\\n var assocIndexOf = require_assocIndexOf();\\n function listCacheHas(key) {\\n return assocIndexOf(this.__data__, key) > -1;\\n }\\n module.exports = listCacheHas;\\n});\\n\\n// ../../../node_modules/lodash/_listCacheSet.js\\nvar require_listCacheSet = __commonJS((exports, module) => {\\n var assocIndexOf = require_assocIndexOf();\\n function listCacheSet(key, value) {\\n var data = this.__data__, index = assocIndexOf(data, key);\\n if (index < 0) {\\n ++this.size;\\n data.push([key, value]);\\n } else {\\n data[index][1] = value;\\n }\\n return this;\\n }\\n module.exports = listCacheSet;\\n});\\n\\n// ../../../node_modules/lodash/_ListCache.js\\nvar require_ListCache = __commonJS((exports, module) => {\\n var listCacheClear = require_listCacheClear();\\n var listCacheDelete = require_listCacheDelete();\\n var listCacheGet = require_listCacheGet();\\n var listCacheHas = require_listCacheHas();\\n var listCacheSet = require_listCacheSet();\\n function ListCache(entries) {\\n var index = -1, length = entries == null ? 0 : entries.length;\\n this.clear();\\n while (++index < length) {\\n var entry = entries[index];\\n this.set(entry[0], entry[1]);\\n }\\n }\\n ListCache.prototype.clear = listCacheClear;\\n ListCache.prototype[\\\\\\\"delete\\\\\\\"] = listCacheDelete;\\n ListCache.prototype.get = listCacheGet;\\n ListCache.prototype.has = listCacheHas;\\n ListCache.prototype.set = listCacheSet;\\n module.exports = ListCache;\\n});\\n\\n// ../../../node_modules/lodash/_stackClear.js\\nvar require_stackClear = __commonJS((exports, module) => {\\n var ListCache = require_ListCache();\\n function stackClear() {\\n this.__data__ = new ListCache();\\n this.size = 0;\\n }\\n module.exports = stackClear;\\n});\\n\\n// ../../../node_modules/lodash/_stackDelete.js\\nvar require_stackDelete = __commonJS((exports, module) => {\\n function stackDelete(key) {\\n var data = this.__data__, result = data[\\\\\\\"delete\\\\\\\"](key);\\n this.size = data.size;\\n return result;\\n }\\n module.exports = stackDelete;\\n});\\n\\n// ../../../node_modules/lodash/_stackGet.js\\nvar require_stackGet = __commonJS((exports, module) => {\\n function stackGet(key) {\\n return this.__data__.get(key);\\n }\\n module.exports = stackGet;\\n});\\n\\n// ../../../node_modules/lodash/_stackHas.js\\nvar require_stackHas = __commonJS((exports, module) => {\\n function stackHas(key) {\\n return this.__data__.has(key);\\n }\\n module.exports = stackHas;\\n});\\n\\n// ../../../node_modules/lodash/_freeGlobal.js\\nvar require_freeGlobal = __commonJS((exports, module) => {\\n var freeGlobal = typeof global == \\\\\\\"object\\\\\\\" && global && global.Object === Object && global;\\n module.exports = freeGlobal;\\n});\\n\\n// ../../../node_modules/lodash/_root.js\\nvar require_root = __commonJS((exports, module) => {\\n var freeGlobal = require_freeGlobal();\\n var freeSelf = typeof self == \\\\\\\"object\\\\\\\" && self && self.Object === Object && self;\\n var root = freeGlobal || freeSelf || Function(\\\\\\\"return this\\\\\\\")();\\n module.exports = root;\\n});\\n\\n// ../../../node_modules/lodash/_Symbol.js\\nvar require_Symbol = __commonJS((exports, module) => {\\n var root = require_root();\\n var Symbol2 = root.Symbol;\\n module.exports = Symbol2;\\n});\\n\\n// ../../../node_modules/lodash/_getRawTag.js\\nvar require_getRawTag = __commonJS((exports, module) => {\\n var Symbol2 = require_Symbol();\\n var objectProto = Object.prototype;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n var nativeObjectToString = objectProto.toString;\\n var symToStringTag = Symbol2 ? Symbol2.toStringTag : void 0;\\n function getRawTag(value) {\\n var isOwn = hasOwnProperty.call(value, symToStringTag), tag = value[symToStringTag];\\n try {\\n value[symToStringTag] = void 0;\\n var unmasked = true;\\n } catch (e) {\\n }\\n var result = nativeObjectToString.call(value);\\n if (unmasked) {\\n if (isOwn) {\\n value[symToStringTag] = tag;\\n } else {\\n delete value[symToStringTag];\\n }\\n }\\n return result;\\n }\\n module.exports = getRawTag;\\n});\\n\\n// ../../../node_modules/lodash/_objectToString.js\\nvar require_objectToString = __commonJS((exports, module) => {\\n var objectProto = Object.prototype;\\n var nativeObjectToString = objectProto.toString;\\n function objectToString(value) {\\n return nativeObjectToString.call(value);\\n }\\n module.exports = objectToString;\\n});\\n\\n// ../../../node_modules/lodash/_baseGetTag.js\\nvar require_baseGetTag = __commonJS((exports, module) => {\\n var Symbol2 = require_Symbol();\\n var getRawTag = require_getRawTag();\\n var objectToString = require_objectToString();\\n var nullTag = \\\\\\\"[object Null]\\\\\\\";\\n var undefinedTag = \\\\\\\"[object Undefined]\\\\\\\";\\n var symToStringTag = Symbol2 ? Symbol2.toStringTag : void 0;\\n function baseGetTag(value) {\\n if (value == null) {\\n return value === void 0 ? undefinedTag : nullTag;\\n }\\n return symToStringTag && symToStringTag in Object(value) ? getRawTag(value) : objectToString(value);\\n }\\n module.exports = baseGetTag;\\n});\\n\\n// ../../../node_modules/lodash/isObject.js\\nvar require_isObject = __commonJS((exports, module) => {\\n function isObject(value) {\\n var type = typeof value;\\n return value != null && (type == \\\\\\\"object\\\\\\\" || type == \\\\\\\"function\\\\\\\");\\n }\\n module.exports = isObject;\\n});\\n\\n// ../../../node_modules/lodash/isFunction.js\\nvar require_isFunction = __commonJS((exports, module) => {\\n var baseGetTag = require_baseGetTag();\\n var isObject = require_isObject();\\n var asyncTag = \\\\\\\"[object AsyncFunction]\\\\\\\";\\n var funcTag = \\\\\\\"[object Function]\\\\\\\";\\n var genTag = \\\\\\\"[object GeneratorFunction]\\\\\\\";\\n var proxyTag = \\\\\\\"[object Proxy]\\\\\\\";\\n function isFunction(value) {\\n if (!isObject(value)) {\\n return false;\\n }\\n var tag = baseGetTag(value);\\n return tag == funcTag || tag == genTag || tag == asyncTag || tag == proxyTag;\\n }\\n module.exports = isFunction;\\n});\\n\\n// ../../../node_modules/lodash/_coreJsData.js\\nvar require_coreJsData = __commonJS((exports, module) => {\\n var root = require_root();\\n var coreJsData = root[\\\\\\\"__core-js_shared__\\\\\\\"];\\n module.exports = coreJsData;\\n});\\n\\n// ../../../node_modules/lodash/_isMasked.js\\nvar require_isMasked = __commonJS((exports, module) => {\\n var coreJsData = require_coreJsData();\\n var maskSrcKey = function() {\\n var uid = /[^.]+$/.exec(coreJsData && coreJsData.keys && coreJsData.keys.IE_PROTO || \\\\\\\"\\\\\\\");\\n return uid ? \\\\\\\"Symbol(src)_1.\\\\\\\" + uid : \\\\\\\"\\\\\\\";\\n }();\\n function isMasked(func) {\\n return !!maskSrcKey && maskSrcKey in func;\\n }\\n module.exports = isMasked;\\n});\\n\\n// ../../../node_modules/lodash/_toSource.js\\nvar require_toSource = __commonJS((exports, module) => {\\n var funcProto = Function.prototype;\\n var funcToString = funcProto.toString;\\n function toSource(func) {\\n if (func != null) {\\n try {\\n return funcToString.call(func);\\n } catch (e) {\\n }\\n try {\\n return func + \\\\\\\"\\\\\\\";\\n } catch (e) {\\n }\\n }\\n return \\\\\\\"\\\\\\\";\\n }\\n module.exports = toSource;\\n});\\n\\n// ../../../node_modules/lodash/_baseIsNative.js\\nvar require_baseIsNative = __commonJS((exports, module) => {\\n var isFunction = require_isFunction();\\n var isMasked = require_isMasked();\\n var isObject = require_isObject();\\n var toSource = require_toSource();\\n var reRegExpChar = /[\\\\\\\\^$.*+?()[\\\\]{}|]/g;\\n var reIsHostCtor = /^\\\\[object .+?Constructor\\\\]$/;\\n var funcProto = Function.prototype;\\n var objectProto = Object.prototype;\\n var funcToString = funcProto.toString;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n var reIsNative = RegExp(\\\\\\\"^\\\\\\\" + funcToString.call(hasOwnProperty).replace(reRegExpChar, \\\\\\\"\\\\\\\\$&\\\\\\\").replace(/hasOwnProperty|(function).*?(?=\\\\\\\\\\\\()| for .+?(?=\\\\\\\\\\\\])/g, \\\\\\\"$1.*?\\\\\\\") + \\\\\\\"$\\\\\\\");\\n function baseIsNative(value) {\\n if (!isObject(value) || isMasked(value)) {\\n return false;\\n }\\n var pattern = isFunction(value) ? reIsNative : reIsHostCtor;\\n return pattern.test(toSource(value));\\n }\\n module.exports = baseIsNative;\\n});\\n\\n// ../../../node_modules/lodash/_getValue.js\\nvar require_getValue = __commonJS((exports, module) => {\\n function getValue(object, key) {\\n return object == null ? void 0 : object[key];\\n }\\n module.exports = getValue;\\n});\\n\\n// ../../../node_modules/lodash/_getNative.js\\nvar require_getNative = __commonJS((exports, module) => {\\n var baseIsNative = require_baseIsNative();\\n var getValue = require_getValue();\\n function getNative(object, key) {\\n var value = getValue(object, key);\\n return baseIsNative(value) ? value : void 0;\\n }\\n module.exports = getNative;\\n});\\n\\n// ../../../node_modules/lodash/_Map.js\\nvar require_Map = __commonJS((exports, module) => {\\n var getNative = require_getNative();\\n var root = require_root();\\n var Map2 = getNative(root, \\\\\\\"Map\\\\\\\");\\n module.exports = Map2;\\n});\\n\\n// ../../../node_modules/lodash/_nativeCreate.js\\nvar require_nativeCreate = __commonJS((exports, module) => {\\n var getNative = require_getNative();\\n var nativeCreate = getNative(Object, \\\\\\\"create\\\\\\\");\\n module.exports = nativeCreate;\\n});\\n\\n// ../../../node_modules/lodash/_hashClear.js\\nvar require_hashClear = __commonJS((exports, module) => {\\n var nativeCreate = require_nativeCreate();\\n function hashClear() {\\n this.__data__ = nativeCreate ? nativeCreate(null) : {};\\n this.size = 0;\\n }\\n module.exports = hashClear;\\n});\\n\\n// ../../../node_modules/lodash/_hashDelete.js\\nvar require_hashDelete = __commonJS((exports, module) => {\\n function hashDelete(key) {\\n var result = this.has(key) && delete this.__data__[key];\\n this.size -= result ? 1 : 0;\\n return result;\\n }\\n module.exports = hashDelete;\\n});\\n\\n// ../../../node_modules/lodash/_hashGet.js\\nvar require_hashGet = __commonJS((exports, module) => {\\n var nativeCreate = require_nativeCreate();\\n var HASH_UNDEFINED = \\\\\\\"__lodash_hash_undefined__\\\\\\\";\\n var objectProto = Object.prototype;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n function hashGet(key) {\\n var data = this.__data__;\\n if (nativeCreate) {\\n var result = data[key];\\n return result === HASH_UNDEFINED ? void 0 : result;\\n }\\n return hasOwnProperty.call(data, key) ? data[key] : void 0;\\n }\\n module.exports = hashGet;\\n});\\n\\n// ../../../node_modules/lodash/_hashHas.js\\nvar require_hashHas = __commonJS((exports, module) => {\\n var nativeCreate = require_nativeCreate();\\n var objectProto = Object.prototype;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n function hashHas(key) {\\n var data = this.__data__;\\n return nativeCreate ? data[key] !== void 0 : hasOwnProperty.call(data, key);\\n }\\n module.exports = hashHas;\\n});\\n\\n// ../../../node_modules/lodash/_hashSet.js\\nvar require_hashSet = __commonJS((exports, module) => {\\n var nativeCreate = require_nativeCreate();\\n var HASH_UNDEFINED = \\\\\\\"__lodash_hash_undefined__\\\\\\\";\\n function hashSet(key, value) {\\n var data = this.__data__;\\n this.size += this.has(key) ? 0 : 1;\\n data[key] = nativeCreate && value === void 0 ? HASH_UNDEFINED : value;\\n return this;\\n }\\n module.exports = hashSet;\\n});\\n\\n// ../../../node_modules/lodash/_Hash.js\\nvar require_Hash = __commonJS((exports, module) => {\\n var hashClear = require_hashClear();\\n var hashDelete = require_hashDelete();\\n var hashGet = require_hashGet();\\n var hashHas = require_hashHas();\\n var hashSet = require_hashSet();\\n function Hash(entries) {\\n var index = -1, length = entries == null ? 0 : entries.length;\\n this.clear();\\n while (++index < length) {\\n var entry = entries[index];\\n this.set(entry[0], entry[1]);\\n }\\n }\\n Hash.prototype.clear = hashClear;\\n Hash.prototype[\\\\\\\"delete\\\\\\\"] = hashDelete;\\n Hash.prototype.get = hashGet;\\n Hash.prototype.has = hashHas;\\n Hash.prototype.set = hashSet;\\n module.exports = Hash;\\n});\\n\\n// ../../../node_modules/lodash/_mapCacheClear.js\\nvar require_mapCacheClear = __commonJS((exports, module) => {\\n var Hash = require_Hash();\\n var ListCache = require_ListCache();\\n var Map2 = require_Map();\\n function mapCacheClear() {\\n this.size = 0;\\n this.__data__ = {\\n hash: new Hash(),\\n map: new (Map2 || ListCache)(),\\n string: new Hash()\\n };\\n }\\n module.exports = mapCacheClear;\\n});\\n\\n// ../../../node_modules/lodash/_isKeyable.js\\nvar require_isKeyable = __commonJS((exports, module) => {\\n function isKeyable(value) {\\n var type = typeof value;\\n return type == \\\\\\\"string\\\\\\\" || type == \\\\\\\"number\\\\\\\" || type == \\\\\\\"symbol\\\\\\\" || type == \\\\\\\"boolean\\\\\\\" ? value !== \\\\\\\"__proto__\\\\\\\" : value === null;\\n }\\n module.exports = isKeyable;\\n});\\n\\n// ../../../node_modules/lodash/_getMapData.js\\nvar require_getMapData = __commonJS((exports, module) => {\\n var isKeyable = require_isKeyable();\\n function getMapData(map, key) {\\n var data = map.__data__;\\n return isKeyable(key) ? data[typeof key == \\\\\\\"string\\\\\\\" ? \\\\\\\"string\\\\\\\" : \\\\\\\"hash\\\\\\\"] : data.map;\\n }\\n module.exports = getMapData;\\n});\\n\\n// ../../../node_modules/lodash/_mapCacheDelete.js\\nvar require_mapCacheDelete = __commonJS((exports, module) => {\\n var getMapData = require_getMapData();\\n function mapCacheDelete(key) {\\n var result = getMapData(this, key)[\\\\\\\"delete\\\\\\\"](key);\\n this.size -= result ? 1 : 0;\\n return result;\\n }\\n module.exports = mapCacheDelete;\\n});\\n\\n// ../../../node_modules/lodash/_mapCacheGet.js\\nvar require_mapCacheGet = __commonJS((exports, module) => {\\n var getMapData = require_getMapData();\\n function mapCacheGet(key) {\\n return getMapData(this, key).get(key);\\n }\\n module.exports = mapCacheGet;\\n});\\n\\n// ../../../node_modules/lodash/_mapCacheHas.js\\nvar require_mapCacheHas = __commonJS((exports, module) => {\\n var getMapData = require_getMapData();\\n function mapCacheHas(key) {\\n return getMapData(this, key).has(key);\\n }\\n module.exports = mapCacheHas;\\n});\\n\\n// ../../../node_modules/lodash/_mapCacheSet.js\\nvar require_mapCacheSet = __commonJS((exports, module) => {\\n var getMapData = require_getMapData();\\n function mapCacheSet(key, value) {\\n var data = getMapData(this, key), size = data.size;\\n data.set(key, value);\\n this.size += data.size == size ? 0 : 1;\\n return this;\\n }\\n module.exports = mapCacheSet;\\n});\\n\\n// ../../../node_modules/lodash/_MapCache.js\\nvar require_MapCache = __commonJS((exports, module) => {\\n var mapCacheClear = require_mapCacheClear();\\n var mapCacheDelete = require_mapCacheDelete();\\n var mapCacheGet = require_mapCacheGet();\\n var mapCacheHas = require_mapCacheHas();\\n var mapCacheSet = require_mapCacheSet();\\n function MapCache(entries) {\\n var index = -1, length = entries == null ? 0 : entries.length;\\n this.clear();\\n while (++index < length) {\\n var entry = entries[index];\\n this.set(entry[0], entry[1]);\\n }\\n }\\n MapCache.prototype.clear = mapCacheClear;\\n MapCache.prototype[\\\\\\\"delete\\\\\\\"] = mapCacheDelete;\\n MapCache.prototype.get = mapCacheGet;\\n MapCache.prototype.has = mapCacheHas;\\n MapCache.prototype.set = mapCacheSet;\\n module.exports = MapCache;\\n});\\n\\n// ../../../node_modules/lodash/_stackSet.js\\nvar require_stackSet = __commonJS((exports, module) => {\\n var ListCache = require_ListCache();\\n var Map2 = require_Map();\\n var MapCache = require_MapCache();\\n var LARGE_ARRAY_SIZE = 200;\\n function stackSet(key, value) {\\n var data = this.__data__;\\n if (data instanceof ListCache) {\\n var pairs = data.__data__;\\n if (!Map2 || pairs.length < LARGE_ARRAY_SIZE - 1) {\\n pairs.push([key, value]);\\n this.size = ++data.size;\\n return this;\\n }\\n data = this.__data__ = new MapCache(pairs);\\n }\\n data.set(key, value);\\n this.size = data.size;\\n return this;\\n }\\n module.exports = stackSet;\\n});\\n\\n// ../../../node_modules/lodash/_Stack.js\\nvar require_Stack = __commonJS((exports, module) => {\\n var ListCache = require_ListCache();\\n var stackClear = require_stackClear();\\n var stackDelete = require_stackDelete();\\n var stackGet = require_stackGet();\\n var stackHas = require_stackHas();\\n var stackSet = require_stackSet();\\n function Stack(entries) {\\n var data = this.__data__ = new ListCache(entries);\\n this.size = data.size;\\n }\\n Stack.prototype.clear = stackClear;\\n Stack.prototype[\\\\\\\"delete\\\\\\\"] = stackDelete;\\n Stack.prototype.get = stackGet;\\n Stack.prototype.has = stackHas;\\n Stack.prototype.set = stackSet;\\n module.exports = Stack;\\n});\\n\\n// ../../../node_modules/lodash/_arrayEach.js\\nvar require_arrayEach = __commonJS((exports, module) => {\\n function arrayEach(array, iteratee) {\\n var index = -1, length = array == null ? 0 : array.length;\\n while (++index < length) {\\n if (iteratee(array[index], index, array) === false) {\\n break;\\n }\\n }\\n return array;\\n }\\n module.exports = arrayEach;\\n});\\n\\n// ../../../node_modules/lodash/_defineProperty.js\\nvar require_defineProperty = __commonJS((exports, module) => {\\n var getNative = require_getNative();\\n var defineProperty = function() {\\n try {\\n var func = getNative(Object, \\\\\\\"defineProperty\\\\\\\");\\n func({}, \\\\\\\"\\\\\\\", {});\\n return func;\\n } catch (e) {\\n }\\n }();\\n module.exports = defineProperty;\\n});\\n\\n// ../../../node_modules/lodash/_baseAssignValue.js\\nvar require_baseAssignValue = __commonJS((exports, module) => {\\n var defineProperty = require_defineProperty();\\n function baseAssignValue(object, key, value) {\\n if (key == \\\\\\\"__proto__\\\\\\\" && defineProperty) {\\n defineProperty(object, key, {\\n configurable: true,\\n enumerable: true,\\n value,\\n writable: true\\n });\\n } else {\\n object[key] = value;\\n }\\n }\\n module.exports = baseAssignValue;\\n});\\n\\n// ../../../node_modules/lodash/_assignValue.js\\nvar require_assignValue = __commonJS((exports, module) => {\\n var baseAssignValue = require_baseAssignValue();\\n var eq = require_eq();\\n var objectProto = Object.prototype;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n function assignValue(object, key, value) {\\n var objValue = object[key];\\n if (!(hasOwnProperty.call(object, key) && eq(objValue, value)) || value === void 0 && !(key in object)) {\\n baseAssignValue(object, key, value);\\n }\\n }\\n module.exports = assignValue;\\n});\\n\\n// ../../../node_modules/lodash/_copyObject.js\\nvar require_copyObject = __commonJS((exports, module) => {\\n var assignValue = require_assignValue();\\n var baseAssignValue = require_baseAssignValue();\\n function copyObject(source, props, object, customizer) {\\n var isNew = !object;\\n object || (object = {});\\n var index = -1, length = props.length;\\n while (++index < length) {\\n var key = props[index];\\n var newValue = customizer ? customizer(object[key], source[key], key, object, source) : void 0;\\n if (newValue === void 0) {\\n newValue = source[key];\\n }\\n if (isNew) {\\n baseAssignValue(object, key, newValue);\\n } else {\\n assignValue(object, key, newValue);\\n }\\n }\\n return object;\\n }\\n module.exports = copyObject;\\n});\\n\\n// ../../../node_modules/lodash/_baseTimes.js\\nvar require_baseTimes = __commonJS((exports, module) => {\\n function baseTimes(n, iteratee) {\\n var index = -1, result = Array(n);\\n while (++index < n) {\\n result[index] = iteratee(index);\\n }\\n return result;\\n }\\n module.exports = baseTimes;\\n});\\n\\n// ../../../node_modules/lodash/isObjectLike.js\\nvar require_isObjectLike = __commonJS((exports, module) => {\\n function isObjectLike(value) {\\n return value != null && typeof value == \\\\\\\"object\\\\\\\";\\n }\\n module.exports = isObjectLike;\\n});\\n\\n// ../../../node_modules/lodash/_baseIsArguments.js\\nvar require_baseIsArguments = __commonJS((exports, module) => {\\n var baseGetTag = require_baseGetTag();\\n var isObjectLike = require_isObjectLike();\\n var argsTag = \\\\\\\"[object Arguments]\\\\\\\";\\n function baseIsArguments(value) {\\n return isObjectLike(value) && baseGetTag(value) == argsTag;\\n }\\n module.exports = baseIsArguments;\\n});\\n\\n// ../../../node_modules/lodash/isArguments.js\\nvar require_isArguments = __commonJS((exports, module) => {\\n var baseIsArguments = require_baseIsArguments();\\n var isObjectLike = require_isObjectLike();\\n var objectProto = Object.prototype;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n var propertyIsEnumerable = objectProto.propertyIsEnumerable;\\n var isArguments = baseIsArguments(function() {\\n return arguments;\\n }()) ? baseIsArguments : function(value) {\\n return isObjectLike(value) && hasOwnProperty.call(value, \\\\\\\"callee\\\\\\\") && !propertyIsEnumerable.call(value, \\\\\\\"callee\\\\\\\");\\n };\\n module.exports = isArguments;\\n});\\n\\n// ../../../node_modules/lodash/isArray.js\\nvar require_isArray = __commonJS((exports, module) => {\\n var isArray = Array.isArray;\\n module.exports = isArray;\\n});\\n\\n// ../../../node_modules/lodash/stubFalse.js\\nvar require_stubFalse = __commonJS((exports, module) => {\\n function stubFalse() {\\n return false;\\n }\\n module.exports = stubFalse;\\n});\\n\\n// ../../../node_modules/lodash/isBuffer.js\\nvar require_isBuffer = __commonJS((exports, module) => {\\n var root = require_root();\\n var stubFalse = require_stubFalse();\\n var freeExports = typeof exports == \\\\\\\"object\\\\\\\" && exports && !exports.nodeType && exports;\\n var freeModule = freeExports && typeof module == \\\\\\\"object\\\\\\\" && module && !module.nodeType && module;\\n var moduleExports = freeModule && freeModule.exports === freeExports;\\n var Buffer2 = moduleExports ? root.Buffer : void 0;\\n var nativeIsBuffer = Buffer2 ? Buffer2.isBuffer : void 0;\\n var isBuffer = nativeIsBuffer || stubFalse;\\n module.exports = isBuffer;\\n});\\n\\n// ../../../node_modules/lodash/_isIndex.js\\nvar require_isIndex = __commonJS((exports, module) => {\\n var MAX_SAFE_INTEGER = 9007199254740991;\\n var reIsUint = /^(?:0|[1-9]\\\\d*)$/;\\n function isIndex(value, length) {\\n var type = typeof value;\\n length = length == null ? MAX_SAFE_INTEGER : length;\\n return !!length && (type == \\\\\\\"number\\\\\\\" || type != \\\\\\\"symbol\\\\\\\" && reIsUint.test(value)) && (value > -1 && value % 1 == 0 && value < length);\\n }\\n module.exports = isIndex;\\n});\\n\\n// ../../../node_modules/lodash/isLength.js\\nvar require_isLength = __commonJS((exports, module) => {\\n var MAX_SAFE_INTEGER = 9007199254740991;\\n function isLength(value) {\\n return typeof value == \\\\\\\"number\\\\\\\" && value > -1 && value % 1 == 0 && value <= MAX_SAFE_INTEGER;\\n }\\n module.exports = isLength;\\n});\\n\\n// ../../../node_modules/lodash/_baseIsTypedArray.js\\nvar require_baseIsTypedArray = __commonJS((exports, module) => {\\n var baseGetTag = require_baseGetTag();\\n var isLength = require_isLength();\\n var isObjectLike = require_isObjectLike();\\n var argsTag = \\\\\\\"[object Arguments]\\\\\\\";\\n var arrayTag = \\\\\\\"[object Array]\\\\\\\";\\n var boolTag = \\\\\\\"[object Boolean]\\\\\\\";\\n var dateTag = \\\\\\\"[object Date]\\\\\\\";\\n var errorTag = \\\\\\\"[object Error]\\\\\\\";\\n var funcTag = \\\\\\\"[object Function]\\\\\\\";\\n var mapTag = \\\\\\\"[object Map]\\\\\\\";\\n var numberTag = \\\\\\\"[object Number]\\\\\\\";\\n var objectTag = \\\\\\\"[object Object]\\\\\\\";\\n var regexpTag = \\\\\\\"[object RegExp]\\\\\\\";\\n var setTag = \\\\\\\"[object Set]\\\\\\\";\\n var stringTag = \\\\\\\"[object String]\\\\\\\";\\n var weakMapTag = \\\\\\\"[object WeakMap]\\\\\\\";\\n var arrayBufferTag = \\\\\\\"[object ArrayBuffer]\\\\\\\";\\n var dataViewTag = \\\\\\\"[object DataView]\\\\\\\";\\n var float32Tag = \\\\\\\"[object Float32Array]\\\\\\\";\\n var float64Tag = \\\\\\\"[object Float64Array]\\\\\\\";\\n var int8Tag = \\\\\\\"[object Int8Array]\\\\\\\";\\n var int16Tag = \\\\\\\"[object Int16Array]\\\\\\\";\\n var int32Tag = \\\\\\\"[object Int32Array]\\\\\\\";\\n var uint8Tag = \\\\\\\"[object Uint8Array]\\\\\\\";\\n var uint8ClampedTag = \\\\\\\"[object Uint8ClampedArray]\\\\\\\";\\n var uint16Tag = \\\\\\\"[object Uint16Array]\\\\\\\";\\n var uint32Tag = \\\\\\\"[object Uint32Array]\\\\\\\";\\n var typedArrayTags = {};\\n typedArrayTags[float32Tag] = typedArrayTags[float64Tag] = typedArrayTags[int8Tag] = typedArrayTags[int16Tag] = typedArrayTags[int32Tag] = typedArrayTags[uint8Tag] = typedArrayTags[uint8ClampedTag] = typedArrayTags[uint16Tag] = typedArrayTags[uint32Tag] = true;\\n typedArrayTags[argsTag] = typedArrayTags[arrayTag] = typedArrayTags[arrayBufferTag] = typedArrayTags[boolTag] = typedArrayTags[dataViewTag] = typedArrayTags[dateTag] = typedArrayTags[errorTag] = typedArrayTags[funcTag] = typedArrayTags[mapTag] = typedArrayTags[numberTag] = typedArrayTags[objectTag] = typedArrayTags[regexpTag] = typedArrayTags[setTag] = typedArrayTags[stringTag] = typedArrayTags[weakMapTag] = false;\\n function baseIsTypedArray(value) {\\n return isObjectLike(value) && isLength(value.length) && !!typedArrayTags[baseGetTag(value)];\\n }\\n module.exports = baseIsTypedArray;\\n});\\n\\n// ../../../node_modules/lodash/_baseUnary.js\\nvar require_baseUnary = __commonJS((exports, module) => {\\n function baseUnary(func) {\\n return function(value) {\\n return func(value);\\n };\\n }\\n module.exports = baseUnary;\\n});\\n\\n// ../../../node_modules/lodash/_nodeUtil.js\\nvar require_nodeUtil = __commonJS((exports, module) => {\\n var freeGlobal = require_freeGlobal();\\n var freeExports = typeof exports == \\\\\\\"object\\\\\\\" && exports && !exports.nodeType && exports;\\n var freeModule = freeExports && typeof module == \\\\\\\"object\\\\\\\" && module && !module.nodeType && module;\\n var moduleExports = freeModule && freeModule.exports === freeExports;\\n var freeProcess = moduleExports && freeGlobal.process;\\n var nodeUtil = function() {\\n try {\\n var types = freeModule && freeModule.require && freeModule.require(\\\\\\\"util\\\\\\\").types;\\n if (types) {\\n return types;\\n }\\n return freeProcess && freeProcess.binding && freeProcess.binding(\\\\\\\"util\\\\\\\");\\n } catch (e) {\\n }\\n }();\\n module.exports = nodeUtil;\\n});\\n\\n// ../../../node_modules/lodash/isTypedArray.js\\nvar require_isTypedArray = __commonJS((exports, module) => {\\n var baseIsTypedArray = require_baseIsTypedArray();\\n var baseUnary = require_baseUnary();\\n var nodeUtil = require_nodeUtil();\\n var nodeIsTypedArray = nodeUtil && nodeUtil.isTypedArray;\\n var isTypedArray = nodeIsTypedArray ? baseUnary(nodeIsTypedArray) : baseIsTypedArray;\\n module.exports = isTypedArray;\\n});\\n\\n// ../../../node_modules/lodash/_arrayLikeKeys.js\\nvar require_arrayLikeKeys = __commonJS((exports, module) => {\\n var baseTimes = require_baseTimes();\\n var isArguments = require_isArguments();\\n var isArray = require_isArray();\\n var isBuffer = require_isBuffer();\\n var isIndex = require_isIndex();\\n var isTypedArray = require_isTypedArray();\\n var objectProto = Object.prototype;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n function arrayLikeKeys(value, inherited) {\\n var isArr = isArray(value), isArg = !isArr && isArguments(value), isBuff = !isArr && !isArg && isBuffer(value), isType = !isArr && !isArg && !isBuff && isTypedArray(value), skipIndexes = isArr || isArg || isBuff || isType, result = skipIndexes ? baseTimes(value.length, String) : [], length = result.length;\\n for (var key in value) {\\n if ((inherited || hasOwnProperty.call(value, key)) && !(skipIndexes && (key == \\\\\\\"length\\\\\\\" || isBuff && (key == \\\\\\\"offset\\\\\\\" || key == \\\\\\\"parent\\\\\\\") || isType && (key == \\\\\\\"buffer\\\\\\\" || key == \\\\\\\"byteLength\\\\\\\" || key == \\\\\\\"byteOffset\\\\\\\") || isIndex(key, length)))) {\\n result.push(key);\\n }\\n }\\n return result;\\n }\\n module.exports = arrayLikeKeys;\\n});\\n\\n// ../../../node_modules/lodash/_isPrototype.js\\nvar require_isPrototype = __commonJS((exports, module) => {\\n var objectProto = Object.prototype;\\n function isPrototype(value) {\\n var Ctor = value && value.constructor, proto = typeof Ctor == \\\\\\\"function\\\\\\\" && Ctor.prototype || objectProto;\\n return value === proto;\\n }\\n module.exports = isPrototype;\\n});\\n\\n// ../../../node_modules/lodash/_overArg.js\\nvar require_overArg = __commonJS((exports, module) => {\\n function overArg(func, transform) {\\n return function(arg) {\\n return func(transform(arg));\\n };\\n }\\n module.exports = overArg;\\n});\\n\\n// ../../../node_modules/lodash/_nativeKeys.js\\nvar require_nativeKeys = __commonJS((exports, module) => {\\n var overArg = require_overArg();\\n var nativeKeys = overArg(Object.keys, Object);\\n module.exports = nativeKeys;\\n});\\n\\n// ../../../node_modules/lodash/_baseKeys.js\\nvar require_baseKeys = __commonJS((exports, module) => {\\n var isPrototype = require_isPrototype();\\n var nativeKeys = require_nativeKeys();\\n var objectProto = Object.prototype;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n function baseKeys(object) {\\n if (!isPrototype(object)) {\\n return nativeKeys(object);\\n }\\n var result = [];\\n for (var key in Object(object)) {\\n if (hasOwnProperty.call(object, key) && key != \\\\\\\"constructor\\\\\\\") {\\n result.push(key);\\n }\\n }\\n return result;\\n }\\n module.exports = baseKeys;\\n});\\n\\n// ../../../node_modules/lodash/isArrayLike.js\\nvar require_isArrayLike = __commonJS((exports, module) => {\\n var isFunction = require_isFunction();\\n var isLength = require_isLength();\\n function isArrayLike(value) {\\n return value != null && isLength(value.length) && !isFunction(value);\\n }\\n module.exports = isArrayLike;\\n});\\n\\n// ../../../node_modules/lodash/keys.js\\nvar require_keys = __commonJS((exports, module) => {\\n var arrayLikeKeys = require_arrayLikeKeys();\\n var baseKeys = require_baseKeys();\\n var isArrayLike = require_isArrayLike();\\n function keys(object) {\\n return isArrayLike(object) ? arrayLikeKeys(object) : baseKeys(object);\\n }\\n module.exports = keys;\\n});\\n\\n// ../../../node_modules/lodash/_baseAssign.js\\nvar require_baseAssign = __commonJS((exports, module) => {\\n var copyObject = require_copyObject();\\n var keys = require_keys();\\n function baseAssign(object, source) {\\n return object && copyObject(source, keys(source), object);\\n }\\n module.exports = baseAssign;\\n});\\n\\n// ../../../node_modules/lodash/_nativeKeysIn.js\\nvar require_nativeKeysIn = __commonJS((exports, module) => {\\n function nativeKeysIn(object) {\\n var result = [];\\n if (object != null) {\\n for (var key in Object(object)) {\\n result.push(key);\\n }\\n }\\n return result;\\n }\\n module.exports = nativeKeysIn;\\n});\\n\\n// ../../../node_modules/lodash/_baseKeysIn.js\\nvar require_baseKeysIn = __commonJS((exports, module) => {\\n var isObject = require_isObject();\\n var isPrototype = require_isPrototype();\\n var nativeKeysIn = require_nativeKeysIn();\\n var objectProto = Object.prototype;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n function baseKeysIn(object) {\\n if (!isObject(object)) {\\n return nativeKeysIn(object);\\n }\\n var isProto = isPrototype(object), result = [];\\n for (var key in object) {\\n if (!(key == \\\\\\\"constructor\\\\\\\" && (isProto || !hasOwnProperty.call(object, key)))) {\\n result.push(key);\\n }\\n }\\n return result;\\n }\\n module.exports = baseKeysIn;\\n});\\n\\n// ../../../node_modules/lodash/keysIn.js\\nvar require_keysIn = __commonJS((exports, module) => {\\n var arrayLikeKeys = require_arrayLikeKeys();\\n var baseKeysIn = require_baseKeysIn();\\n var isArrayLike = require_isArrayLike();\\n function keysIn(object) {\\n return isArrayLike(object) ? arrayLikeKeys(object, true) : baseKeysIn(object);\\n }\\n module.exports = keysIn;\\n});\\n\\n// ../../../node_modules/lodash/_baseAssignIn.js\\nvar require_baseAssignIn = __commonJS((exports, module) => {\\n var copyObject = require_copyObject();\\n var keysIn = require_keysIn();\\n function baseAssignIn(object, source) {\\n return object && copyObject(source, keysIn(source), object);\\n }\\n module.exports = baseAssignIn;\\n});\\n\\n// ../../../node_modules/lodash/_cloneBuffer.js\\nvar require_cloneBuffer = __commonJS((exports, module) => {\\n var root = require_root();\\n var freeExports = typeof exports == \\\\\\\"object\\\\\\\" && exports && !exports.nodeType && exports;\\n var freeModule = freeExports && typeof module == \\\\\\\"object\\\\\\\" && module && !module.nodeType && module;\\n var moduleExports = freeModule && freeModule.exports === freeExports;\\n var Buffer2 = moduleExports ? root.Buffer : void 0;\\n var allocUnsafe = Buffer2 ? Buffer2.allocUnsafe : void 0;\\n function cloneBuffer(buffer, isDeep) {\\n if (isDeep) {\\n return buffer.slice();\\n }\\n var length = buffer.length, result = allocUnsafe ? allocUnsafe(length) : new buffer.constructor(length);\\n buffer.copy(result);\\n return result;\\n }\\n module.exports = cloneBuffer;\\n});\\n\\n// ../../../node_modules/lodash/_copyArray.js\\nvar require_copyArray = __commonJS((exports, module) => {\\n function copyArray2(source, array) {\\n var index = -1, length = source.length;\\n array || (array = Array(length));\\n while (++index < length) {\\n array[index] = source[index];\\n }\\n return array;\\n }\\n module.exports = copyArray2;\\n});\\n\\n// ../../../node_modules/lodash/_arrayFilter.js\\nvar require_arrayFilter = __commonJS((exports, module) => {\\n function arrayFilter(array, predicate) {\\n var index = -1, length = array == null ? 0 : array.length, resIndex = 0, result = [];\\n while (++index < length) {\\n var value = array[index];\\n if (predicate(value, index, array)) {\\n result[resIndex++] = value;\\n }\\n }\\n return result;\\n }\\n module.exports = arrayFilter;\\n});\\n\\n// ../../../node_modules/lodash/stubArray.js\\nvar require_stubArray = __commonJS((exports, module) => {\\n function stubArray() {\\n return [];\\n }\\n module.exports = stubArray;\\n});\\n\\n// ../../../node_modules/lodash/_getSymbols.js\\nvar require_getSymbols = __commonJS((exports, module) => {\\n var arrayFilter = require_arrayFilter();\\n var stubArray = require_stubArray();\\n var objectProto = Object.prototype;\\n var propertyIsEnumerable = objectProto.propertyIsEnumerable;\\n var nativeGetSymbols = Object.getOwnPropertySymbols;\\n var getSymbols = !nativeGetSymbols ? stubArray : function(object) {\\n if (object == null) {\\n return [];\\n }\\n object = Object(object);\\n return arrayFilter(nativeGetSymbols(object), function(symbol) {\\n return propertyIsEnumerable.call(object, symbol);\\n });\\n };\\n module.exports = getSymbols;\\n});\\n\\n// ../../../node_modules/lodash/_copySymbols.js\\nvar require_copySymbols = __commonJS((exports, module) => {\\n var copyObject = require_copyObject();\\n var getSymbols = require_getSymbols();\\n function copySymbols(source, object) {\\n return copyObject(source, getSymbols(source), object);\\n }\\n module.exports = copySymbols;\\n});\\n\\n// ../../../node_modules/lodash/_arrayPush.js\\nvar require_arrayPush = __commonJS((exports, module) => {\\n function arrayPush(array, values) {\\n var index = -1, length = values.length, offset = array.length;\\n while (++index < length) {\\n array[offset + index] = values[index];\\n }\\n return array;\\n }\\n module.exports = arrayPush;\\n});\\n\\n// ../../../node_modules/lodash/_getPrototype.js\\nvar require_getPrototype = __commonJS((exports, module) => {\\n var overArg = require_overArg();\\n var getPrototype = overArg(Object.getPrototypeOf, Object);\\n module.exports = getPrototype;\\n});\\n\\n// ../../../node_modules/lodash/_getSymbolsIn.js\\nvar require_getSymbolsIn = __commonJS((exports, module) => {\\n var arrayPush = require_arrayPush();\\n var getPrototype = require_getPrototype();\\n var getSymbols = require_getSymbols();\\n var stubArray = require_stubArray();\\n var nativeGetSymbols = Object.getOwnPropertySymbols;\\n var getSymbolsIn = !nativeGetSymbols ? stubArray : function(object) {\\n var result = [];\\n while (object) {\\n arrayPush(result, getSymbols(object));\\n object = getPrototype(object);\\n }\\n return result;\\n };\\n module.exports = getSymbolsIn;\\n});\\n\\n// ../../../node_modules/lodash/_copySymbolsIn.js\\nvar require_copySymbolsIn = __commonJS((exports, module) => {\\n var copyObject = require_copyObject();\\n var getSymbolsIn = require_getSymbolsIn();\\n function copySymbolsIn(source, object) {\\n return copyObject(source, getSymbolsIn(source), object);\\n }\\n module.exports = copySymbolsIn;\\n});\\n\\n// ../../../node_modules/lodash/_baseGetAllKeys.js\\nvar require_baseGetAllKeys = __commonJS((exports, module) => {\\n var arrayPush = require_arrayPush();\\n var isArray = require_isArray();\\n function baseGetAllKeys(object, keysFunc, symbolsFunc) {\\n var result = keysFunc(object);\\n return isArray(object) ? result : arrayPush(result, symbolsFunc(object));\\n }\\n module.exports = baseGetAllKeys;\\n});\\n\\n// ../../../node_modules/lodash/_getAllKeys.js\\nvar require_getAllKeys = __commonJS((exports, module) => {\\n var baseGetAllKeys = require_baseGetAllKeys();\\n var getSymbols = require_getSymbols();\\n var keys = require_keys();\\n function getAllKeys(object) {\\n return baseGetAllKeys(object, keys, getSymbols);\\n }\\n module.exports = getAllKeys;\\n});\\n\\n// ../../../node_modules/lodash/_getAllKeysIn.js\\nvar require_getAllKeysIn = __commonJS((exports, module) => {\\n var baseGetAllKeys = require_baseGetAllKeys();\\n var getSymbolsIn = require_getSymbolsIn();\\n var keysIn = require_keysIn();\\n function getAllKeysIn(object) {\\n return baseGetAllKeys(object, keysIn, getSymbolsIn);\\n }\\n module.exports = getAllKeysIn;\\n});\\n\\n// ../../../node_modules/lodash/_DataView.js\\nvar require_DataView = __commonJS((exports, module) => {\\n var getNative = require_getNative();\\n var root = require_root();\\n var DataView = getNative(root, \\\\\\\"DataView\\\\\\\");\\n module.exports = DataView;\\n});\\n\\n// ../../../node_modules/lodash/_Promise.js\\nvar require_Promise = __commonJS((exports, module) => {\\n var getNative = require_getNative();\\n var root = require_root();\\n var Promise2 = getNative(root, \\\\\\\"Promise\\\\\\\");\\n module.exports = Promise2;\\n});\\n\\n// ../../../node_modules/lodash/_Set.js\\nvar require_Set = __commonJS((exports, module) => {\\n var getNative = require_getNative();\\n var root = require_root();\\n var Set2 = getNative(root, \\\\\\\"Set\\\\\\\");\\n module.exports = Set2;\\n});\\n\\n// ../../../node_modules/lodash/_WeakMap.js\\nvar require_WeakMap = __commonJS((exports, module) => {\\n var getNative = require_getNative();\\n var root = require_root();\\n var WeakMap2 = getNative(root, \\\\\\\"WeakMap\\\\\\\");\\n module.exports = WeakMap2;\\n});\\n\\n// ../../../node_modules/lodash/_getTag.js\\nvar require_getTag = __commonJS((exports, module) => {\\n var DataView = require_DataView();\\n var Map2 = require_Map();\\n var Promise2 = require_Promise();\\n var Set2 = require_Set();\\n var WeakMap2 = require_WeakMap();\\n var baseGetTag = require_baseGetTag();\\n var toSource = require_toSource();\\n var mapTag = \\\\\\\"[object Map]\\\\\\\";\\n var objectTag = \\\\\\\"[object Object]\\\\\\\";\\n var promiseTag = \\\\\\\"[object Promise]\\\\\\\";\\n var setTag = \\\\\\\"[object Set]\\\\\\\";\\n var weakMapTag = \\\\\\\"[object WeakMap]\\\\\\\";\\n var dataViewTag = \\\\\\\"[object DataView]\\\\\\\";\\n var dataViewCtorString = toSource(DataView);\\n var mapCtorString = toSource(Map2);\\n var promiseCtorString = toSource(Promise2);\\n var setCtorString = toSource(Set2);\\n var weakMapCtorString = toSource(WeakMap2);\\n var getTag = baseGetTag;\\n if (DataView && getTag(new DataView(new ArrayBuffer(1))) != dataViewTag || Map2 && getTag(new Map2()) != mapTag || Promise2 && getTag(Promise2.resolve()) != promiseTag || Set2 && getTag(new Set2()) != setTag || WeakMap2 && getTag(new WeakMap2()) != weakMapTag) {\\n getTag = function(value) {\\n var result = baseGetTag(value), Ctor = result == objectTag ? value.constructor : void 0, ctorString = Ctor ? toSource(Ctor) : \\\\\\\"\\\\\\\";\\n if (ctorString) {\\n switch (ctorString) {\\n case dataViewCtorString:\\n return dataViewTag;\\n case mapCtorString:\\n return mapTag;\\n case promiseCtorString:\\n return promiseTag;\\n case setCtorString:\\n return setTag;\\n case weakMapCtorString:\\n return weakMapTag;\\n }\\n }\\n return result;\\n };\\n }\\n module.exports = getTag;\\n});\\n\\n// ../../../node_modules/lodash/_initCloneArray.js\\nvar require_initCloneArray = __commonJS((exports, module) => {\\n var objectProto = Object.prototype;\\n var hasOwnProperty = objectProto.hasOwnProperty;\\n function initCloneArray(array) {\\n var length = array.length, result = new array.constructor(length);\\n if (length && typeof array[0] == \\\\\\\"string\\\\\\\" && hasOwnProperty.call(array, \\\\\\\"index\\\\\\\")) {\\n result.index = array.index;\\n result.input = array.input;\\n }\\n return result;\\n }\\n module.exports = initCloneArray;\\n});\\n\\n// ../../../node_modules/lodash/_Uint8Array.js\\nvar require_Uint8Array = __commonJS((exports, module) => {\\n var root = require_root();\\n var Uint8Array2 = root.Uint8Array;\\n module.exports = Uint8Array2;\\n});\\n\\n// ../../../node_modules/lodash/_cloneArrayBuffer.js\\nvar require_cloneArrayBuffer = __commonJS((exports, module) => {\\n var Uint8Array2 = require_Uint8Array();\\n function cloneArrayBuffer(arrayBuffer) {\\n var result = new arrayBuffer.constructor(arrayBuffer.byteLength);\\n new Uint8Array2(result).set(new Uint8Array2(arrayBuffer));\\n return result;\\n }\\n module.exports = cloneArrayBuffer;\\n});\\n\\n// ../../../node_modules/lodash/_cloneDataView.js\\nvar require_cloneDataView = __commonJS((exports, module) => {\\n var cloneArrayBuffer = require_cloneArrayBuffer();\\n function cloneDataView(dataView, isDeep) {\\n var buffer = isDeep ? cloneArrayBuffer(dataView.buffer) : dataView.buffer;\\n return new dataView.constructor(buffer, dataView.byteOffset, dataView.byteLength);\\n }\\n module.exports = cloneDataView;\\n});\\n\\n// ../../../node_modules/lodash/_cloneRegExp.js\\nvar require_cloneRegExp = __commonJS((exports, module) => {\\n var reFlags = /\\\\w*$/;\\n function cloneRegExp(regexp) {\\n var result = new regexp.constructor(regexp.source, reFlags.exec(regexp));\\n result.lastIndex = regexp.lastIndex;\\n return result;\\n }\\n module.exports = cloneRegExp;\\n});\\n\\n// ../../../node_modules/lodash/_cloneSymbol.js\\nvar require_cloneSymbol = __commonJS((exports, module) => {\\n var Symbol2 = require_Symbol();\\n var symbolProto = Symbol2 ? Symbol2.prototype : void 0;\\n var symbolValueOf = symbolProto ? symbolProto.valueOf : void 0;\\n function cloneSymbol(symbol) {\\n return symbolValueOf ? Object(symbolValueOf.call(symbol)) : {};\\n }\\n module.exports = cloneSymbol;\\n});\\n\\n// ../../../node_modules/lodash/_cloneTypedArray.js\\nvar require_cloneTypedArray = __commonJS((exports, module) => {\\n var cloneArrayBuffer = require_cloneArrayBuffer();\\n function cloneTypedArray(typedArray, isDeep) {\\n var buffer = isDeep ? cloneArrayBuffer(typedArray.buffer) : typedArray.buffer;\\n return new typedArray.constructor(buffer, typedArray.byteOffset, typedArray.length);\\n }\\n module.exports = cloneTypedArray;\\n});\\n\\n// ../../../node_modules/lodash/_initCloneByTag.js\\nvar require_initCloneByTag = __commonJS((exports, module) => {\\n var cloneArrayBuffer = require_cloneArrayBuffer();\\n var cloneDataView = require_cloneDataView();\\n var cloneRegExp = require_cloneRegExp();\\n var cloneSymbol = require_cloneSymbol();\\n var cloneTypedArray = require_cloneTypedArray();\\n var boolTag = \\\\\\\"[object Boolean]\\\\\\\";\\n var dateTag = \\\\\\\"[object Date]\\\\\\\";\\n var mapTag = \\\\\\\"[object Map]\\\\\\\";\\n var numberTag = \\\\\\\"[object Number]\\\\\\\";\\n var regexpTag = \\\\\\\"[object RegExp]\\\\\\\";\\n var setTag = \\\\\\\"[object Set]\\\\\\\";\\n var stringTag = \\\\\\\"[object String]\\\\\\\";\\n var symbolTag = \\\\\\\"[object Symbol]\\\\\\\";\\n var arrayBufferTag = \\\\\\\"[object ArrayBuffer]\\\\\\\";\\n var dataViewTag = \\\\\\\"[object DataView]\\\\\\\";\\n var float32Tag = \\\\\\\"[object Float32Array]\\\\\\\";\\n var float64Tag = \\\\\\\"[object Float64Array]\\\\\\\";\\n var int8Tag = \\\\\\\"[object Int8Array]\\\\\\\";\\n var int16Tag = \\\\\\\"[object Int16Array]\\\\\\\";\\n var int32Tag = \\\\\\\"[object Int32Array]\\\\\\\";\\n var uint8Tag = \\\\\\\"[object Uint8Array]\\\\\\\";\\n var uint8ClampedTag = \\\\\\\"[object Uint8ClampedArray]\\\\\\\";\\n var uint16Tag = \\\\\\\"[object Uint16Array]\\\\\\\";\\n var uint32Tag = \\\\\\\"[object Uint32Array]\\\\\\\";\\n function initCloneByTag(object, tag, isDeep) {\\n var Ctor = object.constructor;\\n switch (tag) {\\n case arrayBufferTag:\\n return cloneArrayBuffer(object);\\n case boolTag:\\n case dateTag:\\n return new Ctor(+object);\\n case dataViewTag:\\n return cloneDataView(object, isDeep);\\n case float32Tag:\\n case float64Tag:\\n case int8Tag:\\n case int16Tag:\\n case int32Tag:\\n case uint8Tag:\\n case uint8ClampedTag:\\n case uint16Tag:\\n case uint32Tag:\\n return cloneTypedArray(object, isDeep);\\n case mapTag:\\n return new Ctor();\\n case numberTag:\\n case stringTag:\\n return new Ctor(object);\\n case regexpTag:\\n return cloneRegExp(object);\\n case setTag:\\n return new Ctor();\\n case symbolTag:\\n return cloneSymbol(object);\\n }\\n }\\n module.exports = initCloneByTag;\\n});\\n\\n// ../../../node_modules/lodash/_baseCreate.js\\nvar require_baseCreate = __commonJS((exports, module) => {\\n var isObject = require_isObject();\\n var objectCreate = Object.create;\\n var baseCreate = function() {\\n function object() {\\n }\\n return function(proto) {\\n if (!isObject(proto)) {\\n return {};\\n }\\n if (objectCreate) {\\n return objectCreate(proto);\\n }\\n object.prototype = proto;\\n var result = new object();\\n object.prototype = void 0;\\n return result;\\n };\\n }();\\n module.exports = baseCreate;\\n});\\n\\n// ../../../node_modules/lodash/_initCloneObject.js\\nvar require_initCloneObject = __commonJS((exports, module) => {\\n var baseCreate = require_baseCreate();\\n var getPrototype = require_getPrototype();\\n var isPrototype = require_isPrototype();\\n function initCloneObject(object) {\\n return typeof object.constructor == \\\\\\\"function\\\\\\\" && !isPrototype(object) ? baseCreate(getPrototype(object)) : {};\\n }\\n module.exports = initCloneObject;\\n});\\n\\n// ../../../node_modules/lodash/_baseIsMap.js\\nvar require_baseIsMap = __commonJS((exports, module) => {\\n var getTag = require_getTag();\\n var isObjectLike = require_isObjectLike();\\n var mapTag = \\\\\\\"[object Map]\\\\\\\";\\n function baseIsMap(value) {\\n return isObjectLike(value) && getTag(value) == mapTag;\\n }\\n module.exports = baseIsMap;\\n});\\n\\n// ../../../node_modules/lodash/isMap.js\\nvar require_isMap = __commonJS((exports, module) => {\\n var baseIsMap = require_baseIsMap();\\n var baseUnary = require_baseUnary();\\n var nodeUtil = require_nodeUtil();\\n var nodeIsMap = nodeUtil && nodeUtil.isMap;\\n var isMap = nodeIsMap ? baseUnary(nodeIsMap) : baseIsMap;\\n module.exports = isMap;\\n});\\n\\n// ../../../node_modules/lodash/_baseIsSet.js\\nvar require_baseIsSet = __commonJS((exports, module) => {\\n var getTag = require_getTag();\\n var isObjectLike = require_isObjectLike();\\n var setTag = \\\\\\\"[object Set]\\\\\\\";\\n function baseIsSet(value) {\\n return isObjectLike(value) && getTag(value) == setTag;\\n }\\n module.exports = baseIsSet;\\n});\\n\\n// ../../../node_modules/lodash/isSet.js\\nvar require_isSet = __commonJS((exports, module) => {\\n var baseIsSet = require_baseIsSet();\\n var baseUnary = require_baseUnary();\\n var nodeUtil = require_nodeUtil();\\n var nodeIsSet = nodeUtil && nodeUtil.isSet;\\n var isSet = nodeIsSet ? baseUnary(nodeIsSet) : baseIsSet;\\n module.exports = isSet;\\n});\\n\\n// ../../../node_modules/lodash/_baseClone.js\\nvar require_baseClone = __commonJS((exports, module) => {\\n var Stack = require_Stack();\\n var arrayEach = require_arrayEach();\\n var assignValue = require_assignValue();\\n var baseAssign = require_baseAssign();\\n var baseAssignIn = require_baseAssignIn();\\n var cloneBuffer = require_cloneBuffer();\\n var copyArray2 = require_copyArray();\\n var copySymbols = require_copySymbols();\\n var copySymbolsIn = require_copySymbolsIn();\\n var getAllKeys = require_getAllKeys();\\n var getAllKeysIn = require_getAllKeysIn();\\n var getTag = require_getTag();\\n var initCloneArray = require_initCloneArray();\\n var initCloneByTag = require_initCloneByTag();\\n var initCloneObject = require_initCloneObject();\\n var isArray = require_isArray();\\n var isBuffer = require_isBuffer();\\n var isMap = require_isMap();\\n var isObject = require_isObject();\\n var isSet = require_isSet();\\n var keys = require_keys();\\n var keysIn = require_keysIn();\\n var CLONE_DEEP_FLAG = 1;\\n var CLONE_FLAT_FLAG = 2;\\n var CLONE_SYMBOLS_FLAG = 4;\\n var argsTag = \\\\\\\"[object Arguments]\\\\\\\";\\n var arrayTag = \\\\\\\"[object Array]\\\\\\\";\\n var boolTag = \\\\\\\"[object Boolean]\\\\\\\";\\n var dateTag = \\\\\\\"[object Date]\\\\\\\";\\n var errorTag = \\\\\\\"[object Error]\\\\\\\";\\n var funcTag = \\\\\\\"[object Function]\\\\\\\";\\n var genTag = \\\\\\\"[object GeneratorFunction]\\\\\\\";\\n var mapTag = \\\\\\\"[object Map]\\\\\\\";\\n var numberTag = \\\\\\\"[object Number]\\\\\\\";\\n var objectTag = \\\\\\\"[object Object]\\\\\\\";\\n var regexpTag = \\\\\\\"[object RegExp]\\\\\\\";\\n var setTag = \\\\\\\"[object Set]\\\\\\\";\\n var stringTag = \\\\\\\"[object String]\\\\\\\";\\n var symbolTag = \\\\\\\"[object Symbol]\\\\\\\";\\n var weakMapTag = \\\\\\\"[object WeakMap]\\\\\\\";\\n var arrayBufferTag = \\\\\\\"[object ArrayBuffer]\\\\\\\";\\n var dataViewTag = \\\\\\\"[object DataView]\\\\\\\";\\n var float32Tag = \\\\\\\"[object Float32Array]\\\\\\\";\\n var float64Tag = \\\\\\\"[object Float64Array]\\\\\\\";\\n var int8Tag = \\\\\\\"[object Int8Array]\\\\\\\";\\n var int16Tag = \\\\\\\"[object Int16Array]\\\\\\\";\\n var int32Tag = \\\\\\\"[object Int32Array]\\\\\\\";\\n var uint8Tag = \\\\\\\"[object Uint8Array]\\\\\\\";\\n var uint8ClampedTag = \\\\\\\"[object Uint8ClampedArray]\\\\\\\";\\n var uint16Tag = \\\\\\\"[object Uint16Array]\\\\\\\";\\n var uint32Tag = \\\\\\\"[object Uint32Array]\\\\\\\";\\n var cloneableTags = {};\\n cloneableTags[argsTag] = cloneableTags[arrayTag] = cloneableTags[arrayBufferTag] = cloneableTags[dataViewTag] = cloneableTags[boolTag] = cloneableTags[dateTag] = cloneableTags[float32Tag] = cloneableTags[float64Tag] = cloneableTags[int8Tag] = cloneableTags[int16Tag] = cloneableTags[int32Tag] = cloneableTags[mapTag] = cloneableTags[numberTag] = cloneableTags[objectTag] = cloneableTags[regexpTag] = cloneableTags[setTag] = cloneableTags[stringTag] = cloneableTags[symbolTag] = cloneableTags[uint8Tag] = cloneableTags[uint8ClampedTag] = cloneableTags[uint16Tag] = cloneableTags[uint32Tag] = true;\\n cloneableTags[errorTag] = cloneableTags[funcTag] = cloneableTags[weakMapTag] = false;\\n function baseClone(value, bitmask, customizer, key, object, stack) {\\n var result, isDeep = bitmask & CLONE_DEEP_FLAG, isFlat = bitmask & CLONE_FLAT_FLAG, isFull = bitmask & CLONE_SYMBOLS_FLAG;\\n if (customizer) {\\n result = object ? customizer(value, key, object, stack) : customizer(value);\\n }\\n if (result !== void 0) {\\n return result;\\n }\\n if (!isObject(value)) {\\n return value;\\n }\\n var isArr = isArray(value);\\n if (isArr) {\\n result = initCloneArray(value);\\n if (!isDeep) {\\n return copyArray2(value, result);\\n }\\n } else {\\n var tag = getTag(value), isFunc = tag == funcTag || tag == genTag;\\n if (isBuffer(value)) {\\n return cloneBuffer(value, isDeep);\\n }\\n if (tag == objectTag || tag == argsTag || isFunc && !object) {\\n result = isFlat || isFunc ? {} : initCloneObject(value);\\n if (!isDeep) {\\n return isFlat ? copySymbolsIn(value, baseAssignIn(result, value)) : copySymbols(value, baseAssign(result, value));\\n }\\n } else {\\n if (!cloneableTags[tag]) {\\n return object ? value : {};\\n }\\n result = initCloneByTag(value, tag, isDeep);\\n }\\n }\\n stack || (stack = new Stack());\\n var stacked = stack.get(value);\\n if (stacked) {\\n return stacked;\\n }\\n stack.set(value, result);\\n if (isSet(value)) {\\n value.forEach(function(subValue) {\\n result.add(baseClone(subValue, bitmask, customizer, subValue, value, stack));\\n });\\n } else if (isMap(value)) {\\n value.forEach(function(subValue, key2) {\\n result.set(key2, baseClone(subValue, bitmask, customizer, key2, value, stack));\\n });\\n }\\n var keysFunc = isFull ? isFlat ? getAllKeysIn : getAllKeys : isFlat ? keysIn : keys;\\n var props = isArr ? void 0 : keysFunc(value);\\n arrayEach(props || value, function(subValue, key2) {\\n if (props) {\\n key2 = subValue;\\n subValue = value[key2];\\n }\\n assignValue(result, key2, baseClone(subValue, bitmask, customizer, key2, value, stack));\\n });\\n return result;\\n }\\n module.exports = baseClone;\\n});\\n\\n// ../../../node_modules/lodash/cloneDeep.js\\nvar require_cloneDeep = __commonJS((exports, module) => {\\n var baseClone = require_baseClone();\\n var CLONE_DEEP_FLAG = 1;\\n var CLONE_SYMBOLS_FLAG = 4;\\n function cloneDeep(value) {\\n return baseClone(value, CLONE_DEEP_FLAG | CLONE_SYMBOLS_FLAG);\\n }\\n module.exports = cloneDeep;\\n});\\n\\n// ../../../node_modules/lodash/clone.js\\nvar require_clone = __commonJS((exports, module) => {\\n var baseClone = require_baseClone();\\n var CLONE_SYMBOLS_FLAG = 4;\\n function clone(value) {\\n return baseClone(value, CLONE_SYMBOLS_FLAG);\\n }\\n module.exports = clone;\\n});\\n\\n// ../../../node_modules/jsep/build/jsep.js\\nvar require_jsep = __commonJS((exports, module) => {\\n (function(root) {\\n \\\\\\\"use strict\\\\\\\";\\n var COMPOUND = \\\\\\\"Compound\\\\\\\", IDENTIFIER = \\\\\\\"Identifier\\\\\\\", MEMBER_EXP = \\\\\\\"MemberExpression\\\\\\\", LITERAL = \\\\\\\"Literal\\\\\\\", THIS_EXP = \\\\\\\"ThisExpression\\\\\\\", CALL_EXP = \\\\\\\"CallExpression\\\\\\\", UNARY_EXP = \\\\\\\"UnaryExpression\\\\\\\", BINARY_EXP = \\\\\\\"BinaryExpression\\\\\\\", LOGICAL_EXP = \\\\\\\"LogicalExpression\\\\\\\", CONDITIONAL_EXP = \\\\\\\"ConditionalExpression\\\\\\\", ARRAY_EXP = \\\\\\\"ArrayExpression\\\\\\\", PERIOD_CODE = 46, COMMA_CODE = 44, SQUOTE_CODE = 39, DQUOTE_CODE = 34, OPAREN_CODE = 40, CPAREN_CODE = 41, OBRACK_CODE = 91, CBRACK_CODE = 93, QUMARK_CODE = 63, SEMCOL_CODE = 59, COLON_CODE = 58, throwError = function(message, index) {\\n var error = new Error(message + \\\\\\\" at character \\\\\\\" + index);\\n error.index = index;\\n error.description = message;\\n throw error;\\n }, t = true, unary_ops = {\\\\\\\"-\\\\\\\": t, \\\\\\\"!\\\\\\\": t, \\\\\\\"~\\\\\\\": t, \\\\\\\"+\\\\\\\": t}, binary_ops = {\\n \\\\\\\"||\\\\\\\": 1,\\n \\\\\\\"&&\\\\\\\": 2,\\n \\\\\\\"|\\\\\\\": 3,\\n \\\\\\\"^\\\\\\\": 4,\\n \\\\\\\"&\\\\\\\": 5,\\n \\\\\\\"==\\\\\\\": 6,\\n \\\\\\\"!=\\\\\\\": 6,\\n \\\\\\\"===\\\\\\\": 6,\\n \\\\\\\"!==\\\\\\\": 6,\\n \\\\\\\"<\\\\\\\": 7,\\n \\\\\\\">\\\\\\\": 7,\\n \\\\\\\"<=\\\\\\\": 7,\\n \\\\\\\">=\\\\\\\": 7,\\n \\\\\\\"<<\\\\\\\": 8,\\n \\\\\\\">>\\\\\\\": 8,\\n \\\\\\\">>>\\\\\\\": 8,\\n \\\\\\\"+\\\\\\\": 9,\\n \\\\\\\"-\\\\\\\": 9,\\n \\\\\\\"*\\\\\\\": 10,\\n \\\\\\\"/\\\\\\\": 10,\\n \\\\\\\"%\\\\\\\": 10\\n }, getMaxKeyLen = function(obj) {\\n var max_len = 0, len;\\n for (var key in obj) {\\n if ((len = key.length) > max_len && obj.hasOwnProperty(key)) {\\n max_len = len;\\n }\\n }\\n return max_len;\\n }, max_unop_len = getMaxKeyLen(unary_ops), max_binop_len = getMaxKeyLen(binary_ops), literals = {\\n true: true,\\n false: false,\\n null: null\\n }, this_str = \\\\\\\"this\\\\\\\", binaryPrecedence = function(op_val) {\\n return binary_ops[op_val] || 0;\\n }, createBinaryExpression = function(operator, left, right) {\\n var type = operator === \\\\\\\"||\\\\\\\" || operator === \\\\\\\"&&\\\\\\\" ? LOGICAL_EXP : BINARY_EXP;\\n return {\\n type,\\n operator,\\n left,\\n right\\n };\\n }, isDecimalDigit = function(ch) {\\n return ch >= 48 && ch <= 57;\\n }, isIdentifierStart = function(ch) {\\n return ch === 36 || ch === 95 || ch >= 65 && ch <= 90 || ch >= 97 && ch <= 122 || ch >= 128 && !binary_ops[String.fromCharCode(ch)];\\n }, isIdentifierPart = function(ch) {\\n return ch === 36 || ch === 95 || ch >= 65 && ch <= 90 || ch >= 97 && ch <= 122 || ch >= 48 && ch <= 57 || ch >= 128 && !binary_ops[String.fromCharCode(ch)];\\n }, jsep2 = function(expr) {\\n var index = 0, charAtFunc = expr.charAt, charCodeAtFunc = expr.charCodeAt, exprI = function(i) {\\n return charAtFunc.call(expr, i);\\n }, exprICode = function(i) {\\n return charCodeAtFunc.call(expr, i);\\n }, length = expr.length, gobbleSpaces = function() {\\n var ch = exprICode(index);\\n while (ch === 32 || ch === 9 || ch === 10 || ch === 13) {\\n ch = exprICode(++index);\\n }\\n }, gobbleExpression = function() {\\n var test = gobbleBinaryExpression(), consequent, alternate;\\n gobbleSpaces();\\n if (exprICode(index) === QUMARK_CODE) {\\n index++;\\n consequent = gobbleExpression();\\n if (!consequent) {\\n throwError(\\\\\\\"Expected expression\\\\\\\", index);\\n }\\n gobbleSpaces();\\n if (exprICode(index) === COLON_CODE) {\\n index++;\\n alternate = gobbleExpression();\\n if (!alternate) {\\n throwError(\\\\\\\"Expected expression\\\\\\\", index);\\n }\\n return {\\n type: CONDITIONAL_EXP,\\n test,\\n consequent,\\n alternate\\n };\\n } else {\\n throwError(\\\\\\\"Expected :\\\\\\\", index);\\n }\\n } else {\\n return test;\\n }\\n }, gobbleBinaryOp = function() {\\n gobbleSpaces();\\n var biop, to_check = expr.substr(index, max_binop_len), tc_len = to_check.length;\\n while (tc_len > 0) {\\n if (binary_ops.hasOwnProperty(to_check) && (!isIdentifierStart(exprICode(index)) || index + to_check.length < expr.length && !isIdentifierPart(exprICode(index + to_check.length)))) {\\n index += tc_len;\\n return to_check;\\n }\\n to_check = to_check.substr(0, --tc_len);\\n }\\n return false;\\n }, gobbleBinaryExpression = function() {\\n var ch_i2, node2, biop, prec, stack, biop_info, left, right, i, cur_biop;\\n left = gobbleToken();\\n biop = gobbleBinaryOp();\\n if (!biop) {\\n return left;\\n }\\n biop_info = {value: biop, prec: binaryPrecedence(biop)};\\n right = gobbleToken();\\n if (!right) {\\n throwError(\\\\\\\"Expected expression after \\\\\\\" + biop, index);\\n }\\n stack = [left, biop_info, right];\\n while (biop = gobbleBinaryOp()) {\\n prec = binaryPrecedence(biop);\\n if (prec === 0) {\\n break;\\n }\\n biop_info = {value: biop, prec};\\n cur_biop = biop;\\n while (stack.length > 2 && prec <= stack[stack.length - 2].prec) {\\n right = stack.pop();\\n biop = stack.pop().value;\\n left = stack.pop();\\n node2 = createBinaryExpression(biop, left, right);\\n stack.push(node2);\\n }\\n node2 = gobbleToken();\\n if (!node2) {\\n throwError(\\\\\\\"Expected expression after \\\\\\\" + cur_biop, index);\\n }\\n stack.push(biop_info, node2);\\n }\\n i = stack.length - 1;\\n node2 = stack[i];\\n while (i > 1) {\\n node2 = createBinaryExpression(stack[i - 1].value, stack[i - 2], node2);\\n i -= 2;\\n }\\n return node2;\\n }, gobbleToken = function() {\\n var ch, to_check, tc_len;\\n gobbleSpaces();\\n ch = exprICode(index);\\n if (isDecimalDigit(ch) || ch === PERIOD_CODE) {\\n return gobbleNumericLiteral();\\n } else if (ch === SQUOTE_CODE || ch === DQUOTE_CODE) {\\n return gobbleStringLiteral();\\n } else if (ch === OBRACK_CODE) {\\n return gobbleArray();\\n } else {\\n to_check = expr.substr(index, max_unop_len);\\n tc_len = to_check.length;\\n while (tc_len > 0) {\\n if (unary_ops.hasOwnProperty(to_check) && (!isIdentifierStart(exprICode(index)) || index + to_check.length < expr.length && !isIdentifierPart(exprICode(index + to_check.length)))) {\\n index += tc_len;\\n return {\\n type: UNARY_EXP,\\n operator: to_check,\\n argument: gobbleToken(),\\n prefix: true\\n };\\n }\\n to_check = to_check.substr(0, --tc_len);\\n }\\n if (isIdentifierStart(ch) || ch === OPAREN_CODE) {\\n return gobbleVariable();\\n }\\n }\\n return false;\\n }, gobbleNumericLiteral = function() {\\n var number = \\\\\\\"\\\\\\\", ch, chCode;\\n while (isDecimalDigit(exprICode(index))) {\\n number += exprI(index++);\\n }\\n if (exprICode(index) === PERIOD_CODE) {\\n number += exprI(index++);\\n while (isDecimalDigit(exprICode(index))) {\\n number += exprI(index++);\\n }\\n }\\n ch = exprI(index);\\n if (ch === \\\\\\\"e\\\\\\\" || ch === \\\\\\\"E\\\\\\\") {\\n number += exprI(index++);\\n ch = exprI(index);\\n if (ch === \\\\\\\"+\\\\\\\" || ch === \\\\\\\"-\\\\\\\") {\\n number += exprI(index++);\\n }\\n while (isDecimalDigit(exprICode(index))) {\\n number += exprI(index++);\\n }\\n if (!isDecimalDigit(exprICode(index - 1))) {\\n throwError(\\\\\\\"Expected exponent (\\\\\\\" + number + exprI(index) + \\\\\\\")\\\\\\\", index);\\n }\\n }\\n chCode = exprICode(index);\\n if (isIdentifierStart(chCode)) {\\n throwError(\\\\\\\"Variable names cannot start with a number (\\\\\\\" + number + exprI(index) + \\\\\\\")\\\\\\\", index);\\n } else if (chCode === PERIOD_CODE) {\\n throwError(\\\\\\\"Unexpected period\\\\\\\", index);\\n }\\n return {\\n type: LITERAL,\\n value: parseFloat(number),\\n raw: number\\n };\\n }, gobbleStringLiteral = function() {\\n var str = \\\\\\\"\\\\\\\", quote = exprI(index++), closed = false, ch;\\n while (index < length) {\\n ch = exprI(index++);\\n if (ch === quote) {\\n closed = true;\\n break;\\n } else if (ch === \\\\\\\"\\\\\\\\\\\\\\\") {\\n ch = exprI(index++);\\n switch (ch) {\\n case \\\\\\\"n\\\\\\\":\\n str += \\\\\\\"\\\\n\\\\\\\";\\n break;\\n case \\\\\\\"r\\\\\\\":\\n str += \\\\\\\"\\\\r\\\\\\\";\\n break;\\n case \\\\\\\"t\\\\\\\":\\n str += \\\\\\\"\\t\\\\\\\";\\n break;\\n case \\\\\\\"b\\\\\\\":\\n str += \\\\\\\"\\\\b\\\\\\\";\\n break;\\n case \\\\\\\"f\\\\\\\":\\n str += \\\\\\\"\\\\f\\\\\\\";\\n break;\\n case \\\\\\\"v\\\\\\\":\\n str += \\\\\\\"\\\\v\\\\\\\";\\n break;\\n default:\\n str += ch;\\n }\\n } else {\\n str += ch;\\n }\\n }\\n if (!closed) {\\n throwError('Unclosed quote after \\\\\\\"' + str + '\\\\\\\"', index);\\n }\\n return {\\n type: LITERAL,\\n value: str,\\n raw: quote + str + quote\\n };\\n }, gobbleIdentifier = function() {\\n var ch = exprICode(index), start = index, identifier;\\n if (isIdentifierStart(ch)) {\\n index++;\\n } else {\\n throwError(\\\\\\\"Unexpected \\\\\\\" + exprI(index), index);\\n }\\n while (index < length) {\\n ch = exprICode(index);\\n if (isIdentifierPart(ch)) {\\n index++;\\n } else {\\n break;\\n }\\n }\\n identifier = expr.slice(start, index);\\n if (literals.hasOwnProperty(identifier)) {\\n return {\\n type: LITERAL,\\n value: literals[identifier],\\n raw: identifier\\n };\\n } else if (identifier === this_str) {\\n return {type: THIS_EXP};\\n } else {\\n return {\\n type: IDENTIFIER,\\n name: identifier\\n };\\n }\\n }, gobbleArguments = function(termination) {\\n var ch_i2, args = [], node2, closed = false;\\n var separator_count = 0;\\n while (index < length) {\\n gobbleSpaces();\\n ch_i2 = exprICode(index);\\n if (ch_i2 === termination) {\\n closed = true;\\n index++;\\n if (termination === CPAREN_CODE && separator_count && separator_count >= args.length) {\\n throwError(\\\\\\\"Unexpected token \\\\\\\" + String.fromCharCode(termination), index);\\n }\\n break;\\n } else if (ch_i2 === COMMA_CODE) {\\n index++;\\n separator_count++;\\n if (separator_count !== args.length) {\\n if (termination === CPAREN_CODE) {\\n throwError(\\\\\\\"Unexpected token ,\\\\\\\", index);\\n } else if (termination === CBRACK_CODE) {\\n for (var arg = args.length; arg < separator_count; arg++) {\\n args.push(null);\\n }\\n }\\n }\\n } else {\\n node2 = gobbleExpression();\\n if (!node2 || node2.type === COMPOUND) {\\n throwError(\\\\\\\"Expected comma\\\\\\\", index);\\n }\\n args.push(node2);\\n }\\n }\\n if (!closed) {\\n throwError(\\\\\\\"Expected \\\\\\\" + String.fromCharCode(termination), index);\\n }\\n return args;\\n }, gobbleVariable = function() {\\n var ch_i2, node2;\\n ch_i2 = exprICode(index);\\n if (ch_i2 === OPAREN_CODE) {\\n node2 = gobbleGroup();\\n } else {\\n node2 = gobbleIdentifier();\\n }\\n gobbleSpaces();\\n ch_i2 = exprICode(index);\\n while (ch_i2 === PERIOD_CODE || ch_i2 === OBRACK_CODE || ch_i2 === OPAREN_CODE) {\\n index++;\\n if (ch_i2 === PERIOD_CODE) {\\n gobbleSpaces();\\n node2 = {\\n type: MEMBER_EXP,\\n computed: false,\\n object: node2,\\n property: gobbleIdentifier()\\n };\\n } else if (ch_i2 === OBRACK_CODE) {\\n node2 = {\\n type: MEMBER_EXP,\\n computed: true,\\n object: node2,\\n property: gobbleExpression()\\n };\\n gobbleSpaces();\\n ch_i2 = exprICode(index);\\n if (ch_i2 !== CBRACK_CODE) {\\n throwError(\\\\\\\"Unclosed [\\\\\\\", index);\\n }\\n index++;\\n } else if (ch_i2 === OPAREN_CODE) {\\n node2 = {\\n type: CALL_EXP,\\n arguments: gobbleArguments(CPAREN_CODE),\\n callee: node2\\n };\\n }\\n gobbleSpaces();\\n ch_i2 = exprICode(index);\\n }\\n return node2;\\n }, gobbleGroup = function() {\\n index++;\\n var node2 = gobbleExpression();\\n gobbleSpaces();\\n if (exprICode(index) === CPAREN_CODE) {\\n index++;\\n return node2;\\n } else {\\n throwError(\\\\\\\"Unclosed (\\\\\\\", index);\\n }\\n }, gobbleArray = function() {\\n index++;\\n return {\\n type: ARRAY_EXP,\\n elements: gobbleArguments(CBRACK_CODE)\\n };\\n }, nodes = [], ch_i, node;\\n while (index < length) {\\n ch_i = exprICode(index);\\n if (ch_i === SEMCOL_CODE || ch_i === COMMA_CODE) {\\n index++;\\n } else {\\n if (node = gobbleExpression()) {\\n nodes.push(node);\\n } else if (index < length) {\\n throwError('Unexpected \\\\\\\"' + exprI(index) + '\\\\\\\"', index);\\n }\\n }\\n }\\n if (nodes.length === 1) {\\n return nodes[0];\\n } else {\\n return {\\n type: COMPOUND,\\n body: nodes\\n };\\n }\\n };\\n jsep2.version = \\\\\\\"0.3.5\\\\\\\";\\n jsep2.toString = function() {\\n return \\\\\\\"JavaScript Expression Parser (JSEP) v\\\\\\\" + jsep2.version;\\n };\\n jsep2.addUnaryOp = function(op_name) {\\n max_unop_len = Math.max(op_name.length, max_unop_len);\\n unary_ops[op_name] = t;\\n return this;\\n };\\n jsep2.addBinaryOp = function(op_name, precedence2) {\\n max_binop_len = Math.max(op_name.length, max_binop_len);\\n binary_ops[op_name] = precedence2;\\n return this;\\n };\\n jsep2.addLiteral = function(literal_name, literal_value) {\\n literals[literal_name] = literal_value;\\n return this;\\n };\\n jsep2.removeUnaryOp = function(op_name) {\\n delete unary_ops[op_name];\\n if (op_name.length === max_unop_len) {\\n max_unop_len = getMaxKeyLen(unary_ops);\\n }\\n return this;\\n };\\n jsep2.removeAllUnaryOps = function() {\\n unary_ops = {};\\n max_unop_len = 0;\\n return this;\\n };\\n jsep2.removeBinaryOp = function(op_name) {\\n delete binary_ops[op_name];\\n if (op_name.length === max_binop_len) {\\n max_binop_len = getMaxKeyLen(binary_ops);\\n }\\n return this;\\n };\\n jsep2.removeAllBinaryOps = function() {\\n binary_ops = {};\\n max_binop_len = 0;\\n return this;\\n };\\n jsep2.removeLiteral = function(literal_name) {\\n delete literals[literal_name];\\n return this;\\n };\\n jsep2.removeAllLiterals = function() {\\n literals = {};\\n return this;\\n };\\n if (typeof exports === \\\\\\\"undefined\\\\\\\") {\\n var old_jsep = root.jsep;\\n root.jsep = jsep2;\\n jsep2.noConflict = function() {\\n if (root.jsep === jsep2) {\\n root.jsep = old_jsep;\\n }\\n return jsep2;\\n };\\n } else {\\n if (typeof module !== \\\\\\\"undefined\\\\\\\" && module.exports) {\\n exports = module.exports = jsep2;\\n } else {\\n exports.parse = jsep2;\\n }\\n }\\n })(exports);\\n});\\n\\n// ../../../node_modules/three/src/math/MathUtils.js\\nvar DEG2RAD = Math.PI / 180;\\nvar RAD2DEG = 180 / Math.PI;\\nvar _lut = [];\\nfor (let i = 0; i < 256; i++) {\\n _lut[i] = (i < 16 ? \\\\\\\"0\\\\\\\" : \\\\\\\"\\\\\\\") + i.toString(16);\\n}\\nvar hasRandomUUID = typeof crypto !== \\\\\\\"undefined\\\\\\\" && \\\\\\\"randomUUID\\\\\\\" in crypto;\\nfunction generateUUID() {\\n if (hasRandomUUID) {\\n return crypto.randomUUID().toUpperCase();\\n }\\n const d0 = Math.random() * 4294967295 | 0;\\n const d1 = Math.random() * 4294967295 | 0;\\n const d2 = Math.random() * 4294967295 | 0;\\n const d3 = Math.random() * 4294967295 | 0;\\n const uuid = _lut[d0 & 255] + _lut[d0 >> 8 & 255] + _lut[d0 >> 16 & 255] + _lut[d0 >> 24 & 255] + \\\\\\\"-\\\\\\\" + _lut[d1 & 255] + _lut[d1 >> 8 & 255] + \\\\\\\"-\\\\\\\" + _lut[d1 >> 16 & 15 | 64] + _lut[d1 >> 24 & 255] + \\\\\\\"-\\\\\\\" + _lut[d2 & 63 | 128] + _lut[d2 >> 8 & 255] + \\\\\\\"-\\\\\\\" + _lut[d2 >> 16 & 255] + _lut[d2 >> 24 & 255] + _lut[d3 & 255] + _lut[d3 >> 8 & 255] + _lut[d3 >> 16 & 255] + _lut[d3 >> 24 & 255];\\n return uuid.toUpperCase();\\n}\\nfunction clamp(value, min, max) {\\n return Math.max(min, Math.min(max, value));\\n}\\nfunction euclideanModulo(n, m) {\\n return (n % m + m) % m;\\n}\\nfunction lerp(x, y, t) {\\n return (1 - t) * x + t * y;\\n}\\nfunction degToRad(degrees) {\\n return degrees * DEG2RAD;\\n}\\nfunction isPowerOfTwo(value) {\\n return (value & value - 1) === 0 && value !== 0;\\n}\\nfunction floorPowerOfTwo(value) {\\n return Math.pow(2, Math.floor(Math.log(value) / Math.LN2));\\n}\\n\\n// ../../../node_modules/three/src/math/Quaternion.js\\nvar Quaternion = class {\\n constructor(x = 0, y = 0, z = 0, w = 1) {\\n this._x = x;\\n this._y = y;\\n this._z = z;\\n this._w = w;\\n }\\n static slerp(qa, qb, qm, t) {\\n console.warn(\\\\\\\"THREE.Quaternion: Static .slerp() has been deprecated. Use qm.slerpQuaternions( qa, qb, t ) instead.\\\\\\\");\\n return qm.slerpQuaternions(qa, qb, t);\\n }\\n static slerpFlat(dst, dstOffset, src0, srcOffset0, src1, srcOffset1, t) {\\n let x0 = src0[srcOffset0 + 0], y0 = src0[srcOffset0 + 1], z0 = src0[srcOffset0 + 2], w0 = src0[srcOffset0 + 3];\\n const x1 = src1[srcOffset1 + 0], y1 = src1[srcOffset1 + 1], z1 = src1[srcOffset1 + 2], w1 = src1[srcOffset1 + 3];\\n if (t === 0) {\\n dst[dstOffset + 0] = x0;\\n dst[dstOffset + 1] = y0;\\n dst[dstOffset + 2] = z0;\\n dst[dstOffset + 3] = w0;\\n return;\\n }\\n if (t === 1) {\\n dst[dstOffset + 0] = x1;\\n dst[dstOffset + 1] = y1;\\n dst[dstOffset + 2] = z1;\\n dst[dstOffset + 3] = w1;\\n return;\\n }\\n if (w0 !== w1 || x0 !== x1 || y0 !== y1 || z0 !== z1) {\\n let s = 1 - t;\\n const cos = x0 * x1 + y0 * y1 + z0 * z1 + w0 * w1, dir = cos >= 0 ? 1 : -1, sqrSin = 1 - cos * cos;\\n if (sqrSin > Number.EPSILON) {\\n const sin = Math.sqrt(sqrSin), len = Math.atan2(sin, cos * dir);\\n s = Math.sin(s * len) / sin;\\n t = Math.sin(t * len) / sin;\\n }\\n const tDir = t * dir;\\n x0 = x0 * s + x1 * tDir;\\n y0 = y0 * s + y1 * tDir;\\n z0 = z0 * s + z1 * tDir;\\n w0 = w0 * s + w1 * tDir;\\n if (s === 1 - t) {\\n const f = 1 / Math.sqrt(x0 * x0 + y0 * y0 + z0 * z0 + w0 * w0);\\n x0 *= f;\\n y0 *= f;\\n z0 *= f;\\n w0 *= f;\\n }\\n }\\n dst[dstOffset] = x0;\\n dst[dstOffset + 1] = y0;\\n dst[dstOffset + 2] = z0;\\n dst[dstOffset + 3] = w0;\\n }\\n static multiplyQuaternionsFlat(dst, dstOffset, src0, srcOffset0, src1, srcOffset1) {\\n const x0 = src0[srcOffset0];\\n const y0 = src0[srcOffset0 + 1];\\n const z0 = src0[srcOffset0 + 2];\\n const w0 = src0[srcOffset0 + 3];\\n const x1 = src1[srcOffset1];\\n const y1 = src1[srcOffset1 + 1];\\n const z1 = src1[srcOffset1 + 2];\\n const w1 = src1[srcOffset1 + 3];\\n dst[dstOffset] = x0 * w1 + w0 * x1 + y0 * z1 - z0 * y1;\\n dst[dstOffset + 1] = y0 * w1 + w0 * y1 + z0 * x1 - x0 * z1;\\n dst[dstOffset + 2] = z0 * w1 + w0 * z1 + x0 * y1 - y0 * x1;\\n dst[dstOffset + 3] = w0 * w1 - x0 * x1 - y0 * y1 - z0 * z1;\\n return dst;\\n }\\n get x() {\\n return this._x;\\n }\\n set x(value) {\\n this._x = value;\\n this._onChangeCallback();\\n }\\n get y() {\\n return this._y;\\n }\\n set y(value) {\\n this._y = value;\\n this._onChangeCallback();\\n }\\n get z() {\\n return this._z;\\n }\\n set z(value) {\\n this._z = value;\\n this._onChangeCallback();\\n }\\n get w() {\\n return this._w;\\n }\\n set w(value) {\\n this._w = value;\\n this._onChangeCallback();\\n }\\n set(x, y, z, w) {\\n this._x = x;\\n this._y = y;\\n this._z = z;\\n this._w = w;\\n this._onChangeCallback();\\n return this;\\n }\\n clone() {\\n return new this.constructor(this._x, this._y, this._z, this._w);\\n }\\n copy(quaternion) {\\n this._x = quaternion.x;\\n this._y = quaternion.y;\\n this._z = quaternion.z;\\n this._w = quaternion.w;\\n this._onChangeCallback();\\n return this;\\n }\\n setFromEuler(euler, update) {\\n if (!(euler && euler.isEuler)) {\\n throw new Error(\\\\\\\"THREE.Quaternion: .setFromEuler() now expects an Euler rotation rather than a Vector3 and order.\\\\\\\");\\n }\\n const x = euler._x, y = euler._y, z = euler._z, order = euler._order;\\n const cos = Math.cos;\\n const sin = Math.sin;\\n const c1 = cos(x / 2);\\n const c2 = cos(y / 2);\\n const c3 = cos(z / 2);\\n const s1 = sin(x / 2);\\n const s2 = sin(y / 2);\\n const s3 = sin(z / 2);\\n switch (order) {\\n case \\\\\\\"XYZ\\\\\\\":\\n this._x = s1 * c2 * c3 + c1 * s2 * s3;\\n this._y = c1 * s2 * c3 - s1 * c2 * s3;\\n this._z = c1 * c2 * s3 + s1 * s2 * c3;\\n this._w = c1 * c2 * c3 - s1 * s2 * s3;\\n break;\\n case \\\\\\\"YXZ\\\\\\\":\\n this._x = s1 * c2 * c3 + c1 * s2 * s3;\\n this._y = c1 * s2 * c3 - s1 * c2 * s3;\\n this._z = c1 * c2 * s3 - s1 * s2 * c3;\\n this._w = c1 * c2 * c3 + s1 * s2 * s3;\\n break;\\n case \\\\\\\"ZXY\\\\\\\":\\n this._x = s1 * c2 * c3 - c1 * s2 * s3;\\n this._y = c1 * s2 * c3 + s1 * c2 * s3;\\n this._z = c1 * c2 * s3 + s1 * s2 * c3;\\n this._w = c1 * c2 * c3 - s1 * s2 * s3;\\n break;\\n case \\\\\\\"ZYX\\\\\\\":\\n this._x = s1 * c2 * c3 - c1 * s2 * s3;\\n this._y = c1 * s2 * c3 + s1 * c2 * s3;\\n this._z = c1 * c2 * s3 - s1 * s2 * c3;\\n this._w = c1 * c2 * c3 + s1 * s2 * s3;\\n break;\\n case \\\\\\\"YZX\\\\\\\":\\n this._x = s1 * c2 * c3 + c1 * s2 * s3;\\n this._y = c1 * s2 * c3 + s1 * c2 * s3;\\n this._z = c1 * c2 * s3 - s1 * s2 * c3;\\n this._w = c1 * c2 * c3 - s1 * s2 * s3;\\n break;\\n case \\\\\\\"XZY\\\\\\\":\\n this._x = s1 * c2 * c3 - c1 * s2 * s3;\\n this._y = c1 * s2 * c3 - s1 * c2 * s3;\\n this._z = c1 * c2 * s3 + s1 * s2 * c3;\\n this._w = c1 * c2 * c3 + s1 * s2 * s3;\\n break;\\n default:\\n console.warn(\\\\\\\"THREE.Quaternion: .setFromEuler() encountered an unknown order: \\\\\\\" + order);\\n }\\n if (update !== false)\\n this._onChangeCallback();\\n return this;\\n }\\n setFromAxisAngle(axis, angle) {\\n const halfAngle = angle / 2, s = Math.sin(halfAngle);\\n this._x = axis.x * s;\\n this._y = axis.y * s;\\n this._z = axis.z * s;\\n this._w = Math.cos(halfAngle);\\n this._onChangeCallback();\\n return this;\\n }\\n setFromRotationMatrix(m) {\\n const te = m.elements, m11 = te[0], m12 = te[4], m13 = te[8], m21 = te[1], m22 = te[5], m23 = te[9], m31 = te[2], m32 = te[6], m33 = te[10], trace = m11 + m22 + m33;\\n if (trace > 0) {\\n const s = 0.5 / Math.sqrt(trace + 1);\\n this._w = 0.25 / s;\\n this._x = (m32 - m23) * s;\\n this._y = (m13 - m31) * s;\\n this._z = (m21 - m12) * s;\\n } else if (m11 > m22 && m11 > m33) {\\n const s = 2 * Math.sqrt(1 + m11 - m22 - m33);\\n this._w = (m32 - m23) / s;\\n this._x = 0.25 * s;\\n this._y = (m12 + m21) / s;\\n this._z = (m13 + m31) / s;\\n } else if (m22 > m33) {\\n const s = 2 * Math.sqrt(1 + m22 - m11 - m33);\\n this._w = (m13 - m31) / s;\\n this._x = (m12 + m21) / s;\\n this._y = 0.25 * s;\\n this._z = (m23 + m32) / s;\\n } else {\\n const s = 2 * Math.sqrt(1 + m33 - m11 - m22);\\n this._w = (m21 - m12) / s;\\n this._x = (m13 + m31) / s;\\n this._y = (m23 + m32) / s;\\n this._z = 0.25 * s;\\n }\\n this._onChangeCallback();\\n return this;\\n }\\n setFromUnitVectors(vFrom, vTo) {\\n let r = vFrom.dot(vTo) + 1;\\n if (r < Number.EPSILON) {\\n r = 0;\\n if (Math.abs(vFrom.x) > Math.abs(vFrom.z)) {\\n this._x = -vFrom.y;\\n this._y = vFrom.x;\\n this._z = 0;\\n this._w = r;\\n } else {\\n this._x = 0;\\n this._y = -vFrom.z;\\n this._z = vFrom.y;\\n this._w = r;\\n }\\n } else {\\n this._x = vFrom.y * vTo.z - vFrom.z * vTo.y;\\n this._y = vFrom.z * vTo.x - vFrom.x * vTo.z;\\n this._z = vFrom.x * vTo.y - vFrom.y * vTo.x;\\n this._w = r;\\n }\\n return this.normalize();\\n }\\n angleTo(q) {\\n return 2 * Math.acos(Math.abs(clamp(this.dot(q), -1, 1)));\\n }\\n rotateTowards(q, step) {\\n const angle = this.angleTo(q);\\n if (angle === 0)\\n return this;\\n const t = Math.min(1, step / angle);\\n this.slerp(q, t);\\n return this;\\n }\\n identity() {\\n return this.set(0, 0, 0, 1);\\n }\\n invert() {\\n return this.conjugate();\\n }\\n conjugate() {\\n this._x *= -1;\\n this._y *= -1;\\n this._z *= -1;\\n this._onChangeCallback();\\n return this;\\n }\\n dot(v) {\\n return this._x * v._x + this._y * v._y + this._z * v._z + this._w * v._w;\\n }\\n lengthSq() {\\n return this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w;\\n }\\n length() {\\n return Math.sqrt(this._x * this._x + this._y * this._y + this._z * this._z + this._w * this._w);\\n }\\n normalize() {\\n let l = this.length();\\n if (l === 0) {\\n this._x = 0;\\n this._y = 0;\\n this._z = 0;\\n this._w = 1;\\n } else {\\n l = 1 / l;\\n this._x = this._x * l;\\n this._y = this._y * l;\\n this._z = this._z * l;\\n this._w = this._w * l;\\n }\\n this._onChangeCallback();\\n return this;\\n }\\n multiply(q, p) {\\n if (p !== void 0) {\\n console.warn(\\\\\\\"THREE.Quaternion: .multiply() now only accepts one argument. Use .multiplyQuaternions( a, b ) instead.\\\\\\\");\\n return this.multiplyQuaternions(q, p);\\n }\\n return this.multiplyQuaternions(this, q);\\n }\\n premultiply(q) {\\n return this.multiplyQuaternions(q, this);\\n }\\n multiplyQuaternions(a, b) {\\n const qax = a._x, qay = a._y, qaz = a._z, qaw = a._w;\\n const qbx = b._x, qby = b._y, qbz = b._z, qbw = b._w;\\n this._x = qax * qbw + qaw * qbx + qay * qbz - qaz * qby;\\n this._y = qay * qbw + qaw * qby + qaz * qbx - qax * qbz;\\n this._z = qaz * qbw + qaw * qbz + qax * qby - qay * qbx;\\n this._w = qaw * qbw - qax * qbx - qay * qby - qaz * qbz;\\n this._onChangeCallback();\\n return this;\\n }\\n slerp(qb, t) {\\n if (t === 0)\\n return this;\\n if (t === 1)\\n return this.copy(qb);\\n const x = this._x, y = this._y, z = this._z, w = this._w;\\n let cosHalfTheta = w * qb._w + x * qb._x + y * qb._y + z * qb._z;\\n if (cosHalfTheta < 0) {\\n this._w = -qb._w;\\n this._x = -qb._x;\\n this._y = -qb._y;\\n this._z = -qb._z;\\n cosHalfTheta = -cosHalfTheta;\\n } else {\\n this.copy(qb);\\n }\\n if (cosHalfTheta >= 1) {\\n this._w = w;\\n this._x = x;\\n this._y = y;\\n this._z = z;\\n return this;\\n }\\n const sqrSinHalfTheta = 1 - cosHalfTheta * cosHalfTheta;\\n if (sqrSinHalfTheta <= Number.EPSILON) {\\n const s = 1 - t;\\n this._w = s * w + t * this._w;\\n this._x = s * x + t * this._x;\\n this._y = s * y + t * this._y;\\n this._z = s * z + t * this._z;\\n this.normalize();\\n this._onChangeCallback();\\n return this;\\n }\\n const sinHalfTheta = Math.sqrt(sqrSinHalfTheta);\\n const halfTheta = Math.atan2(sinHalfTheta, cosHalfTheta);\\n const ratioA = Math.sin((1 - t) * halfTheta) / sinHalfTheta, ratioB = Math.sin(t * halfTheta) / sinHalfTheta;\\n this._w = w * ratioA + this._w * ratioB;\\n this._x = x * ratioA + this._x * ratioB;\\n this._y = y * ratioA + this._y * ratioB;\\n this._z = z * ratioA + this._z * ratioB;\\n this._onChangeCallback();\\n return this;\\n }\\n slerpQuaternions(qa, qb, t) {\\n this.copy(qa).slerp(qb, t);\\n }\\n random() {\\n const u1 = Math.random();\\n const sqrt1u1 = Math.sqrt(1 - u1);\\n const sqrtu1 = Math.sqrt(u1);\\n const u2 = 2 * Math.PI * Math.random();\\n const u3 = 2 * Math.PI * Math.random();\\n return this.set(sqrt1u1 * Math.cos(u2), sqrtu1 * Math.sin(u3), sqrtu1 * Math.cos(u3), sqrt1u1 * Math.sin(u2));\\n }\\n equals(quaternion) {\\n return quaternion._x === this._x && quaternion._y === this._y && quaternion._z === this._z && quaternion._w === this._w;\\n }\\n fromArray(array, offset = 0) {\\n this._x = array[offset];\\n this._y = array[offset + 1];\\n this._z = array[offset + 2];\\n this._w = array[offset + 3];\\n this._onChangeCallback();\\n return this;\\n }\\n toArray(array = [], offset = 0) {\\n array[offset] = this._x;\\n array[offset + 1] = this._y;\\n array[offset + 2] = this._z;\\n array[offset + 3] = this._w;\\n return array;\\n }\\n fromBufferAttribute(attribute, index) {\\n this._x = attribute.getX(index);\\n this._y = attribute.getY(index);\\n this._z = attribute.getZ(index);\\n this._w = attribute.getW(index);\\n return this;\\n }\\n _onChange(callback) {\\n this._onChangeCallback = callback;\\n return this;\\n }\\n _onChangeCallback() {\\n }\\n};\\nQuaternion.prototype.isQuaternion = true;\\n\\n// ../../../node_modules/three/src/math/Vector3.js\\nvar Vector3 = class {\\n constructor(x = 0, y = 0, z = 0) {\\n this.x = x;\\n this.y = y;\\n this.z = z;\\n }\\n set(x, y, z) {\\n if (z === void 0)\\n z = this.z;\\n this.x = x;\\n this.y = y;\\n this.z = z;\\n return this;\\n }\\n setScalar(scalar) {\\n this.x = scalar;\\n this.y = scalar;\\n this.z = scalar;\\n return this;\\n }\\n setX(x) {\\n this.x = x;\\n return this;\\n }\\n setY(y) {\\n this.y = y;\\n return this;\\n }\\n setZ(z) {\\n this.z = z;\\n return this;\\n }\\n setComponent(index, value) {\\n switch (index) {\\n case 0:\\n this.x = value;\\n break;\\n case 1:\\n this.y = value;\\n break;\\n case 2:\\n this.z = value;\\n break;\\n default:\\n throw new Error(\\\\\\\"index is out of range: \\\\\\\" + index);\\n }\\n return this;\\n }\\n getComponent(index) {\\n switch (index) {\\n case 0:\\n return this.x;\\n case 1:\\n return this.y;\\n case 2:\\n return this.z;\\n default:\\n throw new Error(\\\\\\\"index is out of range: \\\\\\\" + index);\\n }\\n }\\n clone() {\\n return new this.constructor(this.x, this.y, this.z);\\n }\\n copy(v) {\\n this.x = v.x;\\n this.y = v.y;\\n this.z = v.z;\\n return this;\\n }\\n add(v, w) {\\n if (w !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector3: .add() now only accepts one argument. Use .addVectors( a, b ) instead.\\\\\\\");\\n return this.addVectors(v, w);\\n }\\n this.x += v.x;\\n this.y += v.y;\\n this.z += v.z;\\n return this;\\n }\\n addScalar(s) {\\n this.x += s;\\n this.y += s;\\n this.z += s;\\n return this;\\n }\\n addVectors(a, b) {\\n this.x = a.x + b.x;\\n this.y = a.y + b.y;\\n this.z = a.z + b.z;\\n return this;\\n }\\n addScaledVector(v, s) {\\n this.x += v.x * s;\\n this.y += v.y * s;\\n this.z += v.z * s;\\n return this;\\n }\\n sub(v, w) {\\n if (w !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector3: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.\\\\\\\");\\n return this.subVectors(v, w);\\n }\\n this.x -= v.x;\\n this.y -= v.y;\\n this.z -= v.z;\\n return this;\\n }\\n subScalar(s) {\\n this.x -= s;\\n this.y -= s;\\n this.z -= s;\\n return this;\\n }\\n subVectors(a, b) {\\n this.x = a.x - b.x;\\n this.y = a.y - b.y;\\n this.z = a.z - b.z;\\n return this;\\n }\\n multiply(v, w) {\\n if (w !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector3: .multiply() now only accepts one argument. Use .multiplyVectors( a, b ) instead.\\\\\\\");\\n return this.multiplyVectors(v, w);\\n }\\n this.x *= v.x;\\n this.y *= v.y;\\n this.z *= v.z;\\n return this;\\n }\\n multiplyScalar(scalar) {\\n this.x *= scalar;\\n this.y *= scalar;\\n this.z *= scalar;\\n return this;\\n }\\n multiplyVectors(a, b) {\\n this.x = a.x * b.x;\\n this.y = a.y * b.y;\\n this.z = a.z * b.z;\\n return this;\\n }\\n applyEuler(euler) {\\n if (!(euler && euler.isEuler)) {\\n console.error(\\\\\\\"THREE.Vector3: .applyEuler() now expects an Euler rotation rather than a Vector3 and order.\\\\\\\");\\n }\\n return this.applyQuaternion(_quaternion.setFromEuler(euler));\\n }\\n applyAxisAngle(axis, angle) {\\n return this.applyQuaternion(_quaternion.setFromAxisAngle(axis, angle));\\n }\\n applyMatrix3(m) {\\n const x = this.x, y = this.y, z = this.z;\\n const e = m.elements;\\n this.x = e[0] * x + e[3] * y + e[6] * z;\\n this.y = e[1] * x + e[4] * y + e[7] * z;\\n this.z = e[2] * x + e[5] * y + e[8] * z;\\n return this;\\n }\\n applyNormalMatrix(m) {\\n return this.applyMatrix3(m).normalize();\\n }\\n applyMatrix4(m) {\\n const x = this.x, y = this.y, z = this.z;\\n const e = m.elements;\\n const w = 1 / (e[3] * x + e[7] * y + e[11] * z + e[15]);\\n this.x = (e[0] * x + e[4] * y + e[8] * z + e[12]) * w;\\n this.y = (e[1] * x + e[5] * y + e[9] * z + e[13]) * w;\\n this.z = (e[2] * x + e[6] * y + e[10] * z + e[14]) * w;\\n return this;\\n }\\n applyQuaternion(q) {\\n const x = this.x, y = this.y, z = this.z;\\n const qx = q.x, qy = q.y, qz = q.z, qw = q.w;\\n const ix = qw * x + qy * z - qz * y;\\n const iy = qw * y + qz * x - qx * z;\\n const iz = qw * z + qx * y - qy * x;\\n const iw = -qx * x - qy * y - qz * z;\\n this.x = ix * qw + iw * -qx + iy * -qz - iz * -qy;\\n this.y = iy * qw + iw * -qy + iz * -qx - ix * -qz;\\n this.z = iz * qw + iw * -qz + ix * -qy - iy * -qx;\\n return this;\\n }\\n project(camera) {\\n return this.applyMatrix4(camera.matrixWorldInverse).applyMatrix4(camera.projectionMatrix);\\n }\\n unproject(camera) {\\n return this.applyMatrix4(camera.projectionMatrixInverse).applyMatrix4(camera.matrixWorld);\\n }\\n transformDirection(m) {\\n const x = this.x, y = this.y, z = this.z;\\n const e = m.elements;\\n this.x = e[0] * x + e[4] * y + e[8] * z;\\n this.y = e[1] * x + e[5] * y + e[9] * z;\\n this.z = e[2] * x + e[6] * y + e[10] * z;\\n return this.normalize();\\n }\\n divide(v) {\\n this.x /= v.x;\\n this.y /= v.y;\\n this.z /= v.z;\\n return this;\\n }\\n divideScalar(scalar) {\\n return this.multiplyScalar(1 / scalar);\\n }\\n min(v) {\\n this.x = Math.min(this.x, v.x);\\n this.y = Math.min(this.y, v.y);\\n this.z = Math.min(this.z, v.z);\\n return this;\\n }\\n max(v) {\\n this.x = Math.max(this.x, v.x);\\n this.y = Math.max(this.y, v.y);\\n this.z = Math.max(this.z, v.z);\\n return this;\\n }\\n clamp(min, max) {\\n this.x = Math.max(min.x, Math.min(max.x, this.x));\\n this.y = Math.max(min.y, Math.min(max.y, this.y));\\n this.z = Math.max(min.z, Math.min(max.z, this.z));\\n return this;\\n }\\n clampScalar(minVal, maxVal) {\\n this.x = Math.max(minVal, Math.min(maxVal, this.x));\\n this.y = Math.max(minVal, Math.min(maxVal, this.y));\\n this.z = Math.max(minVal, Math.min(maxVal, this.z));\\n return this;\\n }\\n clampLength(min, max) {\\n const length = this.length();\\n return this.divideScalar(length || 1).multiplyScalar(Math.max(min, Math.min(max, length)));\\n }\\n floor() {\\n this.x = Math.floor(this.x);\\n this.y = Math.floor(this.y);\\n this.z = Math.floor(this.z);\\n return this;\\n }\\n ceil() {\\n this.x = Math.ceil(this.x);\\n this.y = Math.ceil(this.y);\\n this.z = Math.ceil(this.z);\\n return this;\\n }\\n round() {\\n this.x = Math.round(this.x);\\n this.y = Math.round(this.y);\\n this.z = Math.round(this.z);\\n return this;\\n }\\n roundToZero() {\\n this.x = this.x < 0 ? Math.ceil(this.x) : Math.floor(this.x);\\n this.y = this.y < 0 ? Math.ceil(this.y) : Math.floor(this.y);\\n this.z = this.z < 0 ? Math.ceil(this.z) : Math.floor(this.z);\\n return this;\\n }\\n negate() {\\n this.x = -this.x;\\n this.y = -this.y;\\n this.z = -this.z;\\n return this;\\n }\\n dot(v) {\\n return this.x * v.x + this.y * v.y + this.z * v.z;\\n }\\n lengthSq() {\\n return this.x * this.x + this.y * this.y + this.z * this.z;\\n }\\n length() {\\n return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z);\\n }\\n manhattanLength() {\\n return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z);\\n }\\n normalize() {\\n return this.divideScalar(this.length() || 1);\\n }\\n setLength(length) {\\n return this.normalize().multiplyScalar(length);\\n }\\n lerp(v, alpha) {\\n this.x += (v.x - this.x) * alpha;\\n this.y += (v.y - this.y) * alpha;\\n this.z += (v.z - this.z) * alpha;\\n return this;\\n }\\n lerpVectors(v1, v2, alpha) {\\n this.x = v1.x + (v2.x - v1.x) * alpha;\\n this.y = v1.y + (v2.y - v1.y) * alpha;\\n this.z = v1.z + (v2.z - v1.z) * alpha;\\n return this;\\n }\\n cross(v, w) {\\n if (w !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector3: .cross() now only accepts one argument. Use .crossVectors( a, b ) instead.\\\\\\\");\\n return this.crossVectors(v, w);\\n }\\n return this.crossVectors(this, v);\\n }\\n crossVectors(a, b) {\\n const ax = a.x, ay = a.y, az = a.z;\\n const bx = b.x, by = b.y, bz = b.z;\\n this.x = ay * bz - az * by;\\n this.y = az * bx - ax * bz;\\n this.z = ax * by - ay * bx;\\n return this;\\n }\\n projectOnVector(v) {\\n const denominator = v.lengthSq();\\n if (denominator === 0)\\n return this.set(0, 0, 0);\\n const scalar = v.dot(this) / denominator;\\n return this.copy(v).multiplyScalar(scalar);\\n }\\n projectOnPlane(planeNormal) {\\n _vector.copy(this).projectOnVector(planeNormal);\\n return this.sub(_vector);\\n }\\n reflect(normal) {\\n return this.sub(_vector.copy(normal).multiplyScalar(2 * this.dot(normal)));\\n }\\n angleTo(v) {\\n const denominator = Math.sqrt(this.lengthSq() * v.lengthSq());\\n if (denominator === 0)\\n return Math.PI / 2;\\n const theta = this.dot(v) / denominator;\\n return Math.acos(clamp(theta, -1, 1));\\n }\\n distanceTo(v) {\\n return Math.sqrt(this.distanceToSquared(v));\\n }\\n distanceToSquared(v) {\\n const dx = this.x - v.x, dy = this.y - v.y, dz = this.z - v.z;\\n return dx * dx + dy * dy + dz * dz;\\n }\\n manhattanDistanceTo(v) {\\n return Math.abs(this.x - v.x) + Math.abs(this.y - v.y) + Math.abs(this.z - v.z);\\n }\\n setFromSpherical(s) {\\n return this.setFromSphericalCoords(s.radius, s.phi, s.theta);\\n }\\n setFromSphericalCoords(radius, phi, theta) {\\n const sinPhiRadius = Math.sin(phi) * radius;\\n this.x = sinPhiRadius * Math.sin(theta);\\n this.y = Math.cos(phi) * radius;\\n this.z = sinPhiRadius * Math.cos(theta);\\n return this;\\n }\\n setFromCylindrical(c) {\\n return this.setFromCylindricalCoords(c.radius, c.theta, c.y);\\n }\\n setFromCylindricalCoords(radius, theta, y) {\\n this.x = radius * Math.sin(theta);\\n this.y = y;\\n this.z = radius * Math.cos(theta);\\n return this;\\n }\\n setFromMatrixPosition(m) {\\n const e = m.elements;\\n this.x = e[12];\\n this.y = e[13];\\n this.z = e[14];\\n return this;\\n }\\n setFromMatrixScale(m) {\\n const sx = this.setFromMatrixColumn(m, 0).length();\\n const sy = this.setFromMatrixColumn(m, 1).length();\\n const sz = this.setFromMatrixColumn(m, 2).length();\\n this.x = sx;\\n this.y = sy;\\n this.z = sz;\\n return this;\\n }\\n setFromMatrixColumn(m, index) {\\n return this.fromArray(m.elements, index * 4);\\n }\\n setFromMatrix3Column(m, index) {\\n return this.fromArray(m.elements, index * 3);\\n }\\n equals(v) {\\n return v.x === this.x && v.y === this.y && v.z === this.z;\\n }\\n fromArray(array, offset = 0) {\\n this.x = array[offset];\\n this.y = array[offset + 1];\\n this.z = array[offset + 2];\\n return this;\\n }\\n toArray(array = [], offset = 0) {\\n array[offset] = this.x;\\n array[offset + 1] = this.y;\\n array[offset + 2] = this.z;\\n return array;\\n }\\n fromBufferAttribute(attribute, index, offset) {\\n if (offset !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector3: offset has been removed from .fromBufferAttribute().\\\\\\\");\\n }\\n this.x = attribute.getX(index);\\n this.y = attribute.getY(index);\\n this.z = attribute.getZ(index);\\n return this;\\n }\\n random() {\\n this.x = Math.random();\\n this.y = Math.random();\\n this.z = Math.random();\\n return this;\\n }\\n randomDirection() {\\n const u = (Math.random() - 0.5) * 2;\\n const t = Math.random() * Math.PI * 2;\\n const f = Math.sqrt(1 - u ** 2);\\n this.x = f * Math.cos(t);\\n this.y = f * Math.sin(t);\\n this.z = u;\\n return this;\\n }\\n *[Symbol.iterator]() {\\n yield this.x;\\n yield this.y;\\n yield this.z;\\n }\\n};\\nVector3.prototype.isVector3 = true;\\nvar _vector = /* @__PURE__ */ new Vector3();\\nvar _quaternion = /* @__PURE__ */ new Quaternion();\\n\\n// ../../../node_modules/three/src/math/Matrix4.js\\nvar Matrix4 = class {\\n constructor() {\\n this.elements = [\\n 1,\\n 0,\\n 0,\\n 0,\\n 0,\\n 1,\\n 0,\\n 0,\\n 0,\\n 0,\\n 1,\\n 0,\\n 0,\\n 0,\\n 0,\\n 1\\n ];\\n if (arguments.length > 0) {\\n console.error(\\\\\\\"THREE.Matrix4: the constructor no longer reads arguments. use .set() instead.\\\\\\\");\\n }\\n }\\n set(n11, n12, n13, n14, n21, n22, n23, n24, n31, n32, n33, n34, n41, n42, n43, n44) {\\n const te = this.elements;\\n te[0] = n11;\\n te[4] = n12;\\n te[8] = n13;\\n te[12] = n14;\\n te[1] = n21;\\n te[5] = n22;\\n te[9] = n23;\\n te[13] = n24;\\n te[2] = n31;\\n te[6] = n32;\\n te[10] = n33;\\n te[14] = n34;\\n te[3] = n41;\\n te[7] = n42;\\n te[11] = n43;\\n te[15] = n44;\\n return this;\\n }\\n identity() {\\n this.set(1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1);\\n return this;\\n }\\n clone() {\\n return new Matrix4().fromArray(this.elements);\\n }\\n copy(m) {\\n const te = this.elements;\\n const me = m.elements;\\n te[0] = me[0];\\n te[1] = me[1];\\n te[2] = me[2];\\n te[3] = me[3];\\n te[4] = me[4];\\n te[5] = me[5];\\n te[6] = me[6];\\n te[7] = me[7];\\n te[8] = me[8];\\n te[9] = me[9];\\n te[10] = me[10];\\n te[11] = me[11];\\n te[12] = me[12];\\n te[13] = me[13];\\n te[14] = me[14];\\n te[15] = me[15];\\n return this;\\n }\\n copyPosition(m) {\\n const te = this.elements, me = m.elements;\\n te[12] = me[12];\\n te[13] = me[13];\\n te[14] = me[14];\\n return this;\\n }\\n setFromMatrix3(m) {\\n const me = m.elements;\\n this.set(me[0], me[3], me[6], 0, me[1], me[4], me[7], 0, me[2], me[5], me[8], 0, 0, 0, 0, 1);\\n return this;\\n }\\n extractBasis(xAxis, yAxis, zAxis) {\\n xAxis.setFromMatrixColumn(this, 0);\\n yAxis.setFromMatrixColumn(this, 1);\\n zAxis.setFromMatrixColumn(this, 2);\\n return this;\\n }\\n makeBasis(xAxis, yAxis, zAxis) {\\n this.set(xAxis.x, yAxis.x, zAxis.x, 0, xAxis.y, yAxis.y, zAxis.y, 0, xAxis.z, yAxis.z, zAxis.z, 0, 0, 0, 0, 1);\\n return this;\\n }\\n extractRotation(m) {\\n const te = this.elements;\\n const me = m.elements;\\n const scaleX = 1 / _v1.setFromMatrixColumn(m, 0).length();\\n const scaleY = 1 / _v1.setFromMatrixColumn(m, 1).length();\\n const scaleZ = 1 / _v1.setFromMatrixColumn(m, 2).length();\\n te[0] = me[0] * scaleX;\\n te[1] = me[1] * scaleX;\\n te[2] = me[2] * scaleX;\\n te[3] = 0;\\n te[4] = me[4] * scaleY;\\n te[5] = me[5] * scaleY;\\n te[6] = me[6] * scaleY;\\n te[7] = 0;\\n te[8] = me[8] * scaleZ;\\n te[9] = me[9] * scaleZ;\\n te[10] = me[10] * scaleZ;\\n te[11] = 0;\\n te[12] = 0;\\n te[13] = 0;\\n te[14] = 0;\\n te[15] = 1;\\n return this;\\n }\\n makeRotationFromEuler(euler) {\\n if (!(euler && euler.isEuler)) {\\n console.error(\\\\\\\"THREE.Matrix4: .makeRotationFromEuler() now expects a Euler rotation rather than a Vector3 and order.\\\\\\\");\\n }\\n const te = this.elements;\\n const x = euler.x, y = euler.y, z = euler.z;\\n const a = Math.cos(x), b = Math.sin(x);\\n const c = Math.cos(y), d = Math.sin(y);\\n const e = Math.cos(z), f = Math.sin(z);\\n if (euler.order === \\\\\\\"XYZ\\\\\\\") {\\n const ae = a * e, af = a * f, be = b * e, bf = b * f;\\n te[0] = c * e;\\n te[4] = -c * f;\\n te[8] = d;\\n te[1] = af + be * d;\\n te[5] = ae - bf * d;\\n te[9] = -b * c;\\n te[2] = bf - ae * d;\\n te[6] = be + af * d;\\n te[10] = a * c;\\n } else if (euler.order === \\\\\\\"YXZ\\\\\\\") {\\n const ce = c * e, cf = c * f, de = d * e, df = d * f;\\n te[0] = ce + df * b;\\n te[4] = de * b - cf;\\n te[8] = a * d;\\n te[1] = a * f;\\n te[5] = a * e;\\n te[9] = -b;\\n te[2] = cf * b - de;\\n te[6] = df + ce * b;\\n te[10] = a * c;\\n } else if (euler.order === \\\\\\\"ZXY\\\\\\\") {\\n const ce = c * e, cf = c * f, de = d * e, df = d * f;\\n te[0] = ce - df * b;\\n te[4] = -a * f;\\n te[8] = de + cf * b;\\n te[1] = cf + de * b;\\n te[5] = a * e;\\n te[9] = df - ce * b;\\n te[2] = -a * d;\\n te[6] = b;\\n te[10] = a * c;\\n } else if (euler.order === \\\\\\\"ZYX\\\\\\\") {\\n const ae = a * e, af = a * f, be = b * e, bf = b * f;\\n te[0] = c * e;\\n te[4] = be * d - af;\\n te[8] = ae * d + bf;\\n te[1] = c * f;\\n te[5] = bf * d + ae;\\n te[9] = af * d - be;\\n te[2] = -d;\\n te[6] = b * c;\\n te[10] = a * c;\\n } else if (euler.order === \\\\\\\"YZX\\\\\\\") {\\n const ac = a * c, ad = a * d, bc = b * c, bd = b * d;\\n te[0] = c * e;\\n te[4] = bd - ac * f;\\n te[8] = bc * f + ad;\\n te[1] = f;\\n te[5] = a * e;\\n te[9] = -b * e;\\n te[2] = -d * e;\\n te[6] = ad * f + bc;\\n te[10] = ac - bd * f;\\n } else if (euler.order === \\\\\\\"XZY\\\\\\\") {\\n const ac = a * c, ad = a * d, bc = b * c, bd = b * d;\\n te[0] = c * e;\\n te[4] = -f;\\n te[8] = d * e;\\n te[1] = ac * f + bd;\\n te[5] = a * e;\\n te[9] = ad * f - bc;\\n te[2] = bc * f - ad;\\n te[6] = b * e;\\n te[10] = bd * f + ac;\\n }\\n te[3] = 0;\\n te[7] = 0;\\n te[11] = 0;\\n te[12] = 0;\\n te[13] = 0;\\n te[14] = 0;\\n te[15] = 1;\\n return this;\\n }\\n makeRotationFromQuaternion(q) {\\n return this.compose(_zero, q, _one);\\n }\\n lookAt(eye, target, up) {\\n const te = this.elements;\\n _z.subVectors(eye, target);\\n if (_z.lengthSq() === 0) {\\n _z.z = 1;\\n }\\n _z.normalize();\\n _x.crossVectors(up, _z);\\n if (_x.lengthSq() === 0) {\\n if (Math.abs(up.z) === 1) {\\n _z.x += 1e-4;\\n } else {\\n _z.z += 1e-4;\\n }\\n _z.normalize();\\n _x.crossVectors(up, _z);\\n }\\n _x.normalize();\\n _y.crossVectors(_z, _x);\\n te[0] = _x.x;\\n te[4] = _y.x;\\n te[8] = _z.x;\\n te[1] = _x.y;\\n te[5] = _y.y;\\n te[9] = _z.y;\\n te[2] = _x.z;\\n te[6] = _y.z;\\n te[10] = _z.z;\\n return this;\\n }\\n multiply(m, n) {\\n if (n !== void 0) {\\n console.warn(\\\\\\\"THREE.Matrix4: .multiply() now only accepts one argument. Use .multiplyMatrices( a, b ) instead.\\\\\\\");\\n return this.multiplyMatrices(m, n);\\n }\\n return this.multiplyMatrices(this, m);\\n }\\n premultiply(m) {\\n return this.multiplyMatrices(m, this);\\n }\\n multiplyMatrices(a, b) {\\n const ae = a.elements;\\n const be = b.elements;\\n const te = this.elements;\\n const a11 = ae[0], a12 = ae[4], a13 = ae[8], a14 = ae[12];\\n const a21 = ae[1], a22 = ae[5], a23 = ae[9], a24 = ae[13];\\n const a31 = ae[2], a32 = ae[6], a33 = ae[10], a34 = ae[14];\\n const a41 = ae[3], a42 = ae[7], a43 = ae[11], a44 = ae[15];\\n const b11 = be[0], b12 = be[4], b13 = be[8], b14 = be[12];\\n const b21 = be[1], b22 = be[5], b23 = be[9], b24 = be[13];\\n const b31 = be[2], b32 = be[6], b33 = be[10], b34 = be[14];\\n const b41 = be[3], b42 = be[7], b43 = be[11], b44 = be[15];\\n te[0] = a11 * b11 + a12 * b21 + a13 * b31 + a14 * b41;\\n te[4] = a11 * b12 + a12 * b22 + a13 * b32 + a14 * b42;\\n te[8] = a11 * b13 + a12 * b23 + a13 * b33 + a14 * b43;\\n te[12] = a11 * b14 + a12 * b24 + a13 * b34 + a14 * b44;\\n te[1] = a21 * b11 + a22 * b21 + a23 * b31 + a24 * b41;\\n te[5] = a21 * b12 + a22 * b22 + a23 * b32 + a24 * b42;\\n te[9] = a21 * b13 + a22 * b23 + a23 * b33 + a24 * b43;\\n te[13] = a21 * b14 + a22 * b24 + a23 * b34 + a24 * b44;\\n te[2] = a31 * b11 + a32 * b21 + a33 * b31 + a34 * b41;\\n te[6] = a31 * b12 + a32 * b22 + a33 * b32 + a34 * b42;\\n te[10] = a31 * b13 + a32 * b23 + a33 * b33 + a34 * b43;\\n te[14] = a31 * b14 + a32 * b24 + a33 * b34 + a34 * b44;\\n te[3] = a41 * b11 + a42 * b21 + a43 * b31 + a44 * b41;\\n te[7] = a41 * b12 + a42 * b22 + a43 * b32 + a44 * b42;\\n te[11] = a41 * b13 + a42 * b23 + a43 * b33 + a44 * b43;\\n te[15] = a41 * b14 + a42 * b24 + a43 * b34 + a44 * b44;\\n return this;\\n }\\n multiplyScalar(s) {\\n const te = this.elements;\\n te[0] *= s;\\n te[4] *= s;\\n te[8] *= s;\\n te[12] *= s;\\n te[1] *= s;\\n te[5] *= s;\\n te[9] *= s;\\n te[13] *= s;\\n te[2] *= s;\\n te[6] *= s;\\n te[10] *= s;\\n te[14] *= s;\\n te[3] *= s;\\n te[7] *= s;\\n te[11] *= s;\\n te[15] *= s;\\n return this;\\n }\\n determinant() {\\n const te = this.elements;\\n const n11 = te[0], n12 = te[4], n13 = te[8], n14 = te[12];\\n const n21 = te[1], n22 = te[5], n23 = te[9], n24 = te[13];\\n const n31 = te[2], n32 = te[6], n33 = te[10], n34 = te[14];\\n const n41 = te[3], n42 = te[7], n43 = te[11], n44 = te[15];\\n return n41 * (+n14 * n23 * n32 - n13 * n24 * n32 - n14 * n22 * n33 + n12 * n24 * n33 + n13 * n22 * n34 - n12 * n23 * n34) + n42 * (+n11 * n23 * n34 - n11 * n24 * n33 + n14 * n21 * n33 - n13 * n21 * n34 + n13 * n24 * n31 - n14 * n23 * n31) + n43 * (+n11 * n24 * n32 - n11 * n22 * n34 - n14 * n21 * n32 + n12 * n21 * n34 + n14 * n22 * n31 - n12 * n24 * n31) + n44 * (-n13 * n22 * n31 - n11 * n23 * n32 + n11 * n22 * n33 + n13 * n21 * n32 - n12 * n21 * n33 + n12 * n23 * n31);\\n }\\n transpose() {\\n const te = this.elements;\\n let tmp;\\n tmp = te[1];\\n te[1] = te[4];\\n te[4] = tmp;\\n tmp = te[2];\\n te[2] = te[8];\\n te[8] = tmp;\\n tmp = te[6];\\n te[6] = te[9];\\n te[9] = tmp;\\n tmp = te[3];\\n te[3] = te[12];\\n te[12] = tmp;\\n tmp = te[7];\\n te[7] = te[13];\\n te[13] = tmp;\\n tmp = te[11];\\n te[11] = te[14];\\n te[14] = tmp;\\n return this;\\n }\\n setPosition(x, y, z) {\\n const te = this.elements;\\n if (x.isVector3) {\\n te[12] = x.x;\\n te[13] = x.y;\\n te[14] = x.z;\\n } else {\\n te[12] = x;\\n te[13] = y;\\n te[14] = z;\\n }\\n return this;\\n }\\n invert() {\\n const te = this.elements, n11 = te[0], n21 = te[1], n31 = te[2], n41 = te[3], n12 = te[4], n22 = te[5], n32 = te[6], n42 = te[7], n13 = te[8], n23 = te[9], n33 = te[10], n43 = te[11], n14 = te[12], n24 = te[13], n34 = te[14], n44 = te[15], t11 = n23 * n34 * n42 - n24 * n33 * n42 + n24 * n32 * n43 - n22 * n34 * n43 - n23 * n32 * n44 + n22 * n33 * n44, t12 = n14 * n33 * n42 - n13 * n34 * n42 - n14 * n32 * n43 + n12 * n34 * n43 + n13 * n32 * n44 - n12 * n33 * n44, t13 = n13 * n24 * n42 - n14 * n23 * n42 + n14 * n22 * n43 - n12 * n24 * n43 - n13 * n22 * n44 + n12 * n23 * n44, t14 = n14 * n23 * n32 - n13 * n24 * n32 - n14 * n22 * n33 + n12 * n24 * n33 + n13 * n22 * n34 - n12 * n23 * n34;\\n const det = n11 * t11 + n21 * t12 + n31 * t13 + n41 * t14;\\n if (det === 0)\\n return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0);\\n const detInv = 1 / det;\\n te[0] = t11 * detInv;\\n te[1] = (n24 * n33 * n41 - n23 * n34 * n41 - n24 * n31 * n43 + n21 * n34 * n43 + n23 * n31 * n44 - n21 * n33 * n44) * detInv;\\n te[2] = (n22 * n34 * n41 - n24 * n32 * n41 + n24 * n31 * n42 - n21 * n34 * n42 - n22 * n31 * n44 + n21 * n32 * n44) * detInv;\\n te[3] = (n23 * n32 * n41 - n22 * n33 * n41 - n23 * n31 * n42 + n21 * n33 * n42 + n22 * n31 * n43 - n21 * n32 * n43) * detInv;\\n te[4] = t12 * detInv;\\n te[5] = (n13 * n34 * n41 - n14 * n33 * n41 + n14 * n31 * n43 - n11 * n34 * n43 - n13 * n31 * n44 + n11 * n33 * n44) * detInv;\\n te[6] = (n14 * n32 * n41 - n12 * n34 * n41 - n14 * n31 * n42 + n11 * n34 * n42 + n12 * n31 * n44 - n11 * n32 * n44) * detInv;\\n te[7] = (n12 * n33 * n41 - n13 * n32 * n41 + n13 * n31 * n42 - n11 * n33 * n42 - n12 * n31 * n43 + n11 * n32 * n43) * detInv;\\n te[8] = t13 * detInv;\\n te[9] = (n14 * n23 * n41 - n13 * n24 * n41 - n14 * n21 * n43 + n11 * n24 * n43 + n13 * n21 * n44 - n11 * n23 * n44) * detInv;\\n te[10] = (n12 * n24 * n41 - n14 * n22 * n41 + n14 * n21 * n42 - n11 * n24 * n42 - n12 * n21 * n44 + n11 * n22 * n44) * detInv;\\n te[11] = (n13 * n22 * n41 - n12 * n23 * n41 - n13 * n21 * n42 + n11 * n23 * n42 + n12 * n21 * n43 - n11 * n22 * n43) * detInv;\\n te[12] = t14 * detInv;\\n te[13] = (n13 * n24 * n31 - n14 * n23 * n31 + n14 * n21 * n33 - n11 * n24 * n33 - n13 * n21 * n34 + n11 * n23 * n34) * detInv;\\n te[14] = (n14 * n22 * n31 - n12 * n24 * n31 - n14 * n21 * n32 + n11 * n24 * n32 + n12 * n21 * n34 - n11 * n22 * n34) * detInv;\\n te[15] = (n12 * n23 * n31 - n13 * n22 * n31 + n13 * n21 * n32 - n11 * n23 * n32 - n12 * n21 * n33 + n11 * n22 * n33) * detInv;\\n return this;\\n }\\n scale(v) {\\n const te = this.elements;\\n const x = v.x, y = v.y, z = v.z;\\n te[0] *= x;\\n te[4] *= y;\\n te[8] *= z;\\n te[1] *= x;\\n te[5] *= y;\\n te[9] *= z;\\n te[2] *= x;\\n te[6] *= y;\\n te[10] *= z;\\n te[3] *= x;\\n te[7] *= y;\\n te[11] *= z;\\n return this;\\n }\\n getMaxScaleOnAxis() {\\n const te = this.elements;\\n const scaleXSq = te[0] * te[0] + te[1] * te[1] + te[2] * te[2];\\n const scaleYSq = te[4] * te[4] + te[5] * te[5] + te[6] * te[6];\\n const scaleZSq = te[8] * te[8] + te[9] * te[9] + te[10] * te[10];\\n return Math.sqrt(Math.max(scaleXSq, scaleYSq, scaleZSq));\\n }\\n makeTranslation(x, y, z) {\\n this.set(1, 0, 0, x, 0, 1, 0, y, 0, 0, 1, z, 0, 0, 0, 1);\\n return this;\\n }\\n makeRotationX(theta) {\\n const c = Math.cos(theta), s = Math.sin(theta);\\n this.set(1, 0, 0, 0, 0, c, -s, 0, 0, s, c, 0, 0, 0, 0, 1);\\n return this;\\n }\\n makeRotationY(theta) {\\n const c = Math.cos(theta), s = Math.sin(theta);\\n this.set(c, 0, s, 0, 0, 1, 0, 0, -s, 0, c, 0, 0, 0, 0, 1);\\n return this;\\n }\\n makeRotationZ(theta) {\\n const c = Math.cos(theta), s = Math.sin(theta);\\n this.set(c, -s, 0, 0, s, c, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1);\\n return this;\\n }\\n makeRotationAxis(axis, angle) {\\n const c = Math.cos(angle);\\n const s = Math.sin(angle);\\n const t = 1 - c;\\n const x = axis.x, y = axis.y, z = axis.z;\\n const tx = t * x, ty = t * y;\\n this.set(tx * x + c, tx * y - s * z, tx * z + s * y, 0, tx * y + s * z, ty * y + c, ty * z - s * x, 0, tx * z - s * y, ty * z + s * x, t * z * z + c, 0, 0, 0, 0, 1);\\n return this;\\n }\\n makeScale(x, y, z) {\\n this.set(x, 0, 0, 0, 0, y, 0, 0, 0, 0, z, 0, 0, 0, 0, 1);\\n return this;\\n }\\n makeShear(xy, xz, yx, yz, zx, zy) {\\n this.set(1, yx, zx, 0, xy, 1, zy, 0, xz, yz, 1, 0, 0, 0, 0, 1);\\n return this;\\n }\\n compose(position, quaternion, scale) {\\n const te = this.elements;\\n const x = quaternion._x, y = quaternion._y, z = quaternion._z, w = quaternion._w;\\n const x2 = x + x, y2 = y + y, z2 = z + z;\\n const xx = x * x2, xy = x * y2, xz = x * z2;\\n const yy = y * y2, yz = y * z2, zz = z * z2;\\n const wx = w * x2, wy = w * y2, wz = w * z2;\\n const sx = scale.x, sy = scale.y, sz = scale.z;\\n te[0] = (1 - (yy + zz)) * sx;\\n te[1] = (xy + wz) * sx;\\n te[2] = (xz - wy) * sx;\\n te[3] = 0;\\n te[4] = (xy - wz) * sy;\\n te[5] = (1 - (xx + zz)) * sy;\\n te[6] = (yz + wx) * sy;\\n te[7] = 0;\\n te[8] = (xz + wy) * sz;\\n te[9] = (yz - wx) * sz;\\n te[10] = (1 - (xx + yy)) * sz;\\n te[11] = 0;\\n te[12] = position.x;\\n te[13] = position.y;\\n te[14] = position.z;\\n te[15] = 1;\\n return this;\\n }\\n decompose(position, quaternion, scale) {\\n const te = this.elements;\\n let sx = _v1.set(te[0], te[1], te[2]).length();\\n const sy = _v1.set(te[4], te[5], te[6]).length();\\n const sz = _v1.set(te[8], te[9], te[10]).length();\\n const det = this.determinant();\\n if (det < 0)\\n sx = -sx;\\n position.x = te[12];\\n position.y = te[13];\\n position.z = te[14];\\n _m1.copy(this);\\n const invSX = 1 / sx;\\n const invSY = 1 / sy;\\n const invSZ = 1 / sz;\\n _m1.elements[0] *= invSX;\\n _m1.elements[1] *= invSX;\\n _m1.elements[2] *= invSX;\\n _m1.elements[4] *= invSY;\\n _m1.elements[5] *= invSY;\\n _m1.elements[6] *= invSY;\\n _m1.elements[8] *= invSZ;\\n _m1.elements[9] *= invSZ;\\n _m1.elements[10] *= invSZ;\\n quaternion.setFromRotationMatrix(_m1);\\n scale.x = sx;\\n scale.y = sy;\\n scale.z = sz;\\n return this;\\n }\\n makePerspective(left, right, top, bottom, near, far) {\\n if (far === void 0) {\\n console.warn(\\\\\\\"THREE.Matrix4: .makePerspective() has been redefined and has a new signature. Please check the docs.\\\\\\\");\\n }\\n const te = this.elements;\\n const x = 2 * near / (right - left);\\n const y = 2 * near / (top - bottom);\\n const a = (right + left) / (right - left);\\n const b = (top + bottom) / (top - bottom);\\n const c = -(far + near) / (far - near);\\n const d = -2 * far * near / (far - near);\\n te[0] = x;\\n te[4] = 0;\\n te[8] = a;\\n te[12] = 0;\\n te[1] = 0;\\n te[5] = y;\\n te[9] = b;\\n te[13] = 0;\\n te[2] = 0;\\n te[6] = 0;\\n te[10] = c;\\n te[14] = d;\\n te[3] = 0;\\n te[7] = 0;\\n te[11] = -1;\\n te[15] = 0;\\n return this;\\n }\\n makeOrthographic(left, right, top, bottom, near, far) {\\n const te = this.elements;\\n const w = 1 / (right - left);\\n const h = 1 / (top - bottom);\\n const p = 1 / (far - near);\\n const x = (right + left) * w;\\n const y = (top + bottom) * h;\\n const z = (far + near) * p;\\n te[0] = 2 * w;\\n te[4] = 0;\\n te[8] = 0;\\n te[12] = -x;\\n te[1] = 0;\\n te[5] = 2 * h;\\n te[9] = 0;\\n te[13] = -y;\\n te[2] = 0;\\n te[6] = 0;\\n te[10] = -2 * p;\\n te[14] = -z;\\n te[3] = 0;\\n te[7] = 0;\\n te[11] = 0;\\n te[15] = 1;\\n return this;\\n }\\n equals(matrix) {\\n const te = this.elements;\\n const me = matrix.elements;\\n for (let i = 0; i < 16; i++) {\\n if (te[i] !== me[i])\\n return false;\\n }\\n return true;\\n }\\n fromArray(array, offset = 0) {\\n for (let i = 0; i < 16; i++) {\\n this.elements[i] = array[i + offset];\\n }\\n return this;\\n }\\n toArray(array = [], offset = 0) {\\n const te = this.elements;\\n array[offset] = te[0];\\n array[offset + 1] = te[1];\\n array[offset + 2] = te[2];\\n array[offset + 3] = te[3];\\n array[offset + 4] = te[4];\\n array[offset + 5] = te[5];\\n array[offset + 6] = te[6];\\n array[offset + 7] = te[7];\\n array[offset + 8] = te[8];\\n array[offset + 9] = te[9];\\n array[offset + 10] = te[10];\\n array[offset + 11] = te[11];\\n array[offset + 12] = te[12];\\n array[offset + 13] = te[13];\\n array[offset + 14] = te[14];\\n array[offset + 15] = te[15];\\n return array;\\n }\\n};\\nMatrix4.prototype.isMatrix4 = true;\\nvar _v1 = /* @__PURE__ */ new Vector3();\\nvar _m1 = /* @__PURE__ */ new Matrix4();\\nvar _zero = /* @__PURE__ */ new Vector3(0, 0, 0);\\nvar _one = /* @__PURE__ */ new Vector3(1, 1, 1);\\nvar _x = /* @__PURE__ */ new Vector3();\\nvar _y = /* @__PURE__ */ new Vector3();\\nvar _z = /* @__PURE__ */ new Vector3();\\n\\n// ../../../node_modules/three/src/core/EventDispatcher.js\\nvar EventDispatcher = class {\\n addEventListener(type, listener) {\\n if (this._listeners === void 0)\\n this._listeners = {};\\n const listeners = this._listeners;\\n if (listeners[type] === void 0) {\\n listeners[type] = [];\\n }\\n if (listeners[type].indexOf(listener) === -1) {\\n listeners[type].push(listener);\\n }\\n }\\n hasEventListener(type, listener) {\\n if (this._listeners === void 0)\\n return false;\\n const listeners = this._listeners;\\n return listeners[type] !== void 0 && listeners[type].indexOf(listener) !== -1;\\n }\\n removeEventListener(type, listener) {\\n if (this._listeners === void 0)\\n return;\\n const listeners = this._listeners;\\n const listenerArray = listeners[type];\\n if (listenerArray !== void 0) {\\n const index = listenerArray.indexOf(listener);\\n if (index !== -1) {\\n listenerArray.splice(index, 1);\\n }\\n }\\n }\\n dispatchEvent(event) {\\n if (this._listeners === void 0)\\n return;\\n const listeners = this._listeners;\\n const listenerArray = listeners[event.type];\\n if (listenerArray !== void 0) {\\n event.target = this;\\n const array = listenerArray.slice(0);\\n for (let i = 0, l = array.length; i < l; i++) {\\n array[i].call(this, event);\\n }\\n event.target = null;\\n }\\n }\\n};\\n\\n// ../../../node_modules/three/src/math/Euler.js\\nvar _matrix = /* @__PURE__ */ new Matrix4();\\nvar _quaternion2 = /* @__PURE__ */ new Quaternion();\\nvar Euler = class {\\n constructor(x = 0, y = 0, z = 0, order = Euler.DefaultOrder) {\\n this._x = x;\\n this._y = y;\\n this._z = z;\\n this._order = order;\\n }\\n get x() {\\n return this._x;\\n }\\n set x(value) {\\n this._x = value;\\n this._onChangeCallback();\\n }\\n get y() {\\n return this._y;\\n }\\n set y(value) {\\n this._y = value;\\n this._onChangeCallback();\\n }\\n get z() {\\n return this._z;\\n }\\n set z(value) {\\n this._z = value;\\n this._onChangeCallback();\\n }\\n get order() {\\n return this._order;\\n }\\n set order(value) {\\n this._order = value;\\n this._onChangeCallback();\\n }\\n set(x, y, z, order = this._order) {\\n this._x = x;\\n this._y = y;\\n this._z = z;\\n this._order = order;\\n this._onChangeCallback();\\n return this;\\n }\\n clone() {\\n return new this.constructor(this._x, this._y, this._z, this._order);\\n }\\n copy(euler) {\\n this._x = euler._x;\\n this._y = euler._y;\\n this._z = euler._z;\\n this._order = euler._order;\\n this._onChangeCallback();\\n return this;\\n }\\n setFromRotationMatrix(m, order = this._order, update = true) {\\n const te = m.elements;\\n const m11 = te[0], m12 = te[4], m13 = te[8];\\n const m21 = te[1], m22 = te[5], m23 = te[9];\\n const m31 = te[2], m32 = te[6], m33 = te[10];\\n switch (order) {\\n case \\\\\\\"XYZ\\\\\\\":\\n this._y = Math.asin(clamp(m13, -1, 1));\\n if (Math.abs(m13) < 0.9999999) {\\n this._x = Math.atan2(-m23, m33);\\n this._z = Math.atan2(-m12, m11);\\n } else {\\n this._x = Math.atan2(m32, m22);\\n this._z = 0;\\n }\\n break;\\n case \\\\\\\"YXZ\\\\\\\":\\n this._x = Math.asin(-clamp(m23, -1, 1));\\n if (Math.abs(m23) < 0.9999999) {\\n this._y = Math.atan2(m13, m33);\\n this._z = Math.atan2(m21, m22);\\n } else {\\n this._y = Math.atan2(-m31, m11);\\n this._z = 0;\\n }\\n break;\\n case \\\\\\\"ZXY\\\\\\\":\\n this._x = Math.asin(clamp(m32, -1, 1));\\n if (Math.abs(m32) < 0.9999999) {\\n this._y = Math.atan2(-m31, m33);\\n this._z = Math.atan2(-m12, m22);\\n } else {\\n this._y = 0;\\n this._z = Math.atan2(m21, m11);\\n }\\n break;\\n case \\\\\\\"ZYX\\\\\\\":\\n this._y = Math.asin(-clamp(m31, -1, 1));\\n if (Math.abs(m31) < 0.9999999) {\\n this._x = Math.atan2(m32, m33);\\n this._z = Math.atan2(m21, m11);\\n } else {\\n this._x = 0;\\n this._z = Math.atan2(-m12, m22);\\n }\\n break;\\n case \\\\\\\"YZX\\\\\\\":\\n this._z = Math.asin(clamp(m21, -1, 1));\\n if (Math.abs(m21) < 0.9999999) {\\n this._x = Math.atan2(-m23, m22);\\n this._y = Math.atan2(-m31, m11);\\n } else {\\n this._x = 0;\\n this._y = Math.atan2(m13, m33);\\n }\\n break;\\n case \\\\\\\"XZY\\\\\\\":\\n this._z = Math.asin(-clamp(m12, -1, 1));\\n if (Math.abs(m12) < 0.9999999) {\\n this._x = Math.atan2(m32, m22);\\n this._y = Math.atan2(m13, m11);\\n } else {\\n this._x = Math.atan2(-m23, m33);\\n this._y = 0;\\n }\\n break;\\n default:\\n console.warn(\\\\\\\"THREE.Euler: .setFromRotationMatrix() encountered an unknown order: \\\\\\\" + order);\\n }\\n this._order = order;\\n if (update === true)\\n this._onChangeCallback();\\n return this;\\n }\\n setFromQuaternion(q, order, update) {\\n _matrix.makeRotationFromQuaternion(q);\\n return this.setFromRotationMatrix(_matrix, order, update);\\n }\\n setFromVector3(v, order = this._order) {\\n return this.set(v.x, v.y, v.z, order);\\n }\\n reorder(newOrder) {\\n _quaternion2.setFromEuler(this);\\n return this.setFromQuaternion(_quaternion2, newOrder);\\n }\\n equals(euler) {\\n return euler._x === this._x && euler._y === this._y && euler._z === this._z && euler._order === this._order;\\n }\\n fromArray(array) {\\n this._x = array[0];\\n this._y = array[1];\\n this._z = array[2];\\n if (array[3] !== void 0)\\n this._order = array[3];\\n this._onChangeCallback();\\n return this;\\n }\\n toArray(array = [], offset = 0) {\\n array[offset] = this._x;\\n array[offset + 1] = this._y;\\n array[offset + 2] = this._z;\\n array[offset + 3] = this._order;\\n return array;\\n }\\n toVector3(optionalResult) {\\n if (optionalResult) {\\n return optionalResult.set(this._x, this._y, this._z);\\n } else {\\n return new Vector3(this._x, this._y, this._z);\\n }\\n }\\n _onChange(callback) {\\n this._onChangeCallback = callback;\\n return this;\\n }\\n _onChangeCallback() {\\n }\\n};\\nEuler.prototype.isEuler = true;\\nEuler.DefaultOrder = \\\\\\\"XYZ\\\\\\\";\\nEuler.RotationOrders = [\\\\\\\"XYZ\\\\\\\", \\\\\\\"YZX\\\\\\\", \\\\\\\"ZXY\\\\\\\", \\\\\\\"XZY\\\\\\\", \\\\\\\"YXZ\\\\\\\", \\\\\\\"ZYX\\\\\\\"];\\n\\n// ../../../node_modules/three/src/core/Layers.js\\nvar Layers = class {\\n constructor() {\\n this.mask = 1 | 0;\\n }\\n set(channel) {\\n this.mask = 1 << channel | 0;\\n }\\n enable(channel) {\\n this.mask |= 1 << channel | 0;\\n }\\n enableAll() {\\n this.mask = 4294967295 | 0;\\n }\\n toggle(channel) {\\n this.mask ^= 1 << channel | 0;\\n }\\n disable(channel) {\\n this.mask &= ~(1 << channel | 0);\\n }\\n disableAll() {\\n this.mask = 0;\\n }\\n test(layers) {\\n return (this.mask & layers.mask) !== 0;\\n }\\n};\\n\\n// ../../../node_modules/three/src/math/Matrix3.js\\nvar Matrix3 = class {\\n constructor() {\\n this.elements = [\\n 1,\\n 0,\\n 0,\\n 0,\\n 1,\\n 0,\\n 0,\\n 0,\\n 1\\n ];\\n if (arguments.length > 0) {\\n console.error(\\\\\\\"THREE.Matrix3: the constructor no longer reads arguments. use .set() instead.\\\\\\\");\\n }\\n }\\n set(n11, n12, n13, n21, n22, n23, n31, n32, n33) {\\n const te = this.elements;\\n te[0] = n11;\\n te[1] = n21;\\n te[2] = n31;\\n te[3] = n12;\\n te[4] = n22;\\n te[5] = n32;\\n te[6] = n13;\\n te[7] = n23;\\n te[8] = n33;\\n return this;\\n }\\n identity() {\\n this.set(1, 0, 0, 0, 1, 0, 0, 0, 1);\\n return this;\\n }\\n copy(m) {\\n const te = this.elements;\\n const me = m.elements;\\n te[0] = me[0];\\n te[1] = me[1];\\n te[2] = me[2];\\n te[3] = me[3];\\n te[4] = me[4];\\n te[5] = me[5];\\n te[6] = me[6];\\n te[7] = me[7];\\n te[8] = me[8];\\n return this;\\n }\\n extractBasis(xAxis, yAxis, zAxis) {\\n xAxis.setFromMatrix3Column(this, 0);\\n yAxis.setFromMatrix3Column(this, 1);\\n zAxis.setFromMatrix3Column(this, 2);\\n return this;\\n }\\n setFromMatrix4(m) {\\n const me = m.elements;\\n this.set(me[0], me[4], me[8], me[1], me[5], me[9], me[2], me[6], me[10]);\\n return this;\\n }\\n multiply(m) {\\n return this.multiplyMatrices(this, m);\\n }\\n premultiply(m) {\\n return this.multiplyMatrices(m, this);\\n }\\n multiplyMatrices(a, b) {\\n const ae = a.elements;\\n const be = b.elements;\\n const te = this.elements;\\n const a11 = ae[0], a12 = ae[3], a13 = ae[6];\\n const a21 = ae[1], a22 = ae[4], a23 = ae[7];\\n const a31 = ae[2], a32 = ae[5], a33 = ae[8];\\n const b11 = be[0], b12 = be[3], b13 = be[6];\\n const b21 = be[1], b22 = be[4], b23 = be[7];\\n const b31 = be[2], b32 = be[5], b33 = be[8];\\n te[0] = a11 * b11 + a12 * b21 + a13 * b31;\\n te[3] = a11 * b12 + a12 * b22 + a13 * b32;\\n te[6] = a11 * b13 + a12 * b23 + a13 * b33;\\n te[1] = a21 * b11 + a22 * b21 + a23 * b31;\\n te[4] = a21 * b12 + a22 * b22 + a23 * b32;\\n te[7] = a21 * b13 + a22 * b23 + a23 * b33;\\n te[2] = a31 * b11 + a32 * b21 + a33 * b31;\\n te[5] = a31 * b12 + a32 * b22 + a33 * b32;\\n te[8] = a31 * b13 + a32 * b23 + a33 * b33;\\n return this;\\n }\\n multiplyScalar(s) {\\n const te = this.elements;\\n te[0] *= s;\\n te[3] *= s;\\n te[6] *= s;\\n te[1] *= s;\\n te[4] *= s;\\n te[7] *= s;\\n te[2] *= s;\\n te[5] *= s;\\n te[8] *= s;\\n return this;\\n }\\n determinant() {\\n const te = this.elements;\\n const a = te[0], b = te[1], c = te[2], d = te[3], e = te[4], f = te[5], g = te[6], h = te[7], i = te[8];\\n return a * e * i - a * f * h - b * d * i + b * f * g + c * d * h - c * e * g;\\n }\\n invert() {\\n const te = this.elements, n11 = te[0], n21 = te[1], n31 = te[2], n12 = te[3], n22 = te[4], n32 = te[5], n13 = te[6], n23 = te[7], n33 = te[8], t11 = n33 * n22 - n32 * n23, t12 = n32 * n13 - n33 * n12, t13 = n23 * n12 - n22 * n13, det = n11 * t11 + n21 * t12 + n31 * t13;\\n if (det === 0)\\n return this.set(0, 0, 0, 0, 0, 0, 0, 0, 0);\\n const detInv = 1 / det;\\n te[0] = t11 * detInv;\\n te[1] = (n31 * n23 - n33 * n21) * detInv;\\n te[2] = (n32 * n21 - n31 * n22) * detInv;\\n te[3] = t12 * detInv;\\n te[4] = (n33 * n11 - n31 * n13) * detInv;\\n te[5] = (n31 * n12 - n32 * n11) * detInv;\\n te[6] = t13 * detInv;\\n te[7] = (n21 * n13 - n23 * n11) * detInv;\\n te[8] = (n22 * n11 - n21 * n12) * detInv;\\n return this;\\n }\\n transpose() {\\n let tmp;\\n const m = this.elements;\\n tmp = m[1];\\n m[1] = m[3];\\n m[3] = tmp;\\n tmp = m[2];\\n m[2] = m[6];\\n m[6] = tmp;\\n tmp = m[5];\\n m[5] = m[7];\\n m[7] = tmp;\\n return this;\\n }\\n getNormalMatrix(matrix4) {\\n return this.setFromMatrix4(matrix4).invert().transpose();\\n }\\n transposeIntoArray(r) {\\n const m = this.elements;\\n r[0] = m[0];\\n r[1] = m[3];\\n r[2] = m[6];\\n r[3] = m[1];\\n r[4] = m[4];\\n r[5] = m[7];\\n r[6] = m[2];\\n r[7] = m[5];\\n r[8] = m[8];\\n return this;\\n }\\n setUvTransform(tx, ty, sx, sy, rotation, cx, cy) {\\n const c = Math.cos(rotation);\\n const s = Math.sin(rotation);\\n this.set(sx * c, sx * s, -sx * (c * cx + s * cy) + cx + tx, -sy * s, sy * c, -sy * (-s * cx + c * cy) + cy + ty, 0, 0, 1);\\n return this;\\n }\\n scale(sx, sy) {\\n const te = this.elements;\\n te[0] *= sx;\\n te[3] *= sx;\\n te[6] *= sx;\\n te[1] *= sy;\\n te[4] *= sy;\\n te[7] *= sy;\\n return this;\\n }\\n rotate(theta) {\\n const c = Math.cos(theta);\\n const s = Math.sin(theta);\\n const te = this.elements;\\n const a11 = te[0], a12 = te[3], a13 = te[6];\\n const a21 = te[1], a22 = te[4], a23 = te[7];\\n te[0] = c * a11 + s * a21;\\n te[3] = c * a12 + s * a22;\\n te[6] = c * a13 + s * a23;\\n te[1] = -s * a11 + c * a21;\\n te[4] = -s * a12 + c * a22;\\n te[7] = -s * a13 + c * a23;\\n return this;\\n }\\n translate(tx, ty) {\\n const te = this.elements;\\n te[0] += tx * te[2];\\n te[3] += tx * te[5];\\n te[6] += tx * te[8];\\n te[1] += ty * te[2];\\n te[4] += ty * te[5];\\n te[7] += ty * te[8];\\n return this;\\n }\\n equals(matrix) {\\n const te = this.elements;\\n const me = matrix.elements;\\n for (let i = 0; i < 9; i++) {\\n if (te[i] !== me[i])\\n return false;\\n }\\n return true;\\n }\\n fromArray(array, offset = 0) {\\n for (let i = 0; i < 9; i++) {\\n this.elements[i] = array[i + offset];\\n }\\n return this;\\n }\\n toArray(array = [], offset = 0) {\\n const te = this.elements;\\n array[offset] = te[0];\\n array[offset + 1] = te[1];\\n array[offset + 2] = te[2];\\n array[offset + 3] = te[3];\\n array[offset + 4] = te[4];\\n array[offset + 5] = te[5];\\n array[offset + 6] = te[6];\\n array[offset + 7] = te[7];\\n array[offset + 8] = te[8];\\n return array;\\n }\\n clone() {\\n return new this.constructor().fromArray(this.elements);\\n }\\n};\\nMatrix3.prototype.isMatrix3 = true;\\n\\n// ../../../node_modules/three/src/core/Object3D.js\\nvar _object3DId = 0;\\nvar _v12 = /* @__PURE__ */ new Vector3();\\nvar _q1 = /* @__PURE__ */ new Quaternion();\\nvar _m12 = /* @__PURE__ */ new Matrix4();\\nvar _target = /* @__PURE__ */ new Vector3();\\nvar _position = /* @__PURE__ */ new Vector3();\\nvar _scale = /* @__PURE__ */ new Vector3();\\nvar _quaternion3 = /* @__PURE__ */ new Quaternion();\\nvar _xAxis = /* @__PURE__ */ new Vector3(1, 0, 0);\\nvar _yAxis = /* @__PURE__ */ new Vector3(0, 1, 0);\\nvar _zAxis = /* @__PURE__ */ new Vector3(0, 0, 1);\\nvar _addedEvent = {type: \\\\\\\"added\\\\\\\"};\\nvar _removedEvent = {type: \\\\\\\"removed\\\\\\\"};\\nvar Object3D = class extends EventDispatcher {\\n constructor() {\\n super();\\n Object.defineProperty(this, \\\\\\\"id\\\\\\\", {value: _object3DId++});\\n this.uuid = generateUUID();\\n this.name = \\\\\\\"\\\\\\\";\\n this.type = \\\\\\\"Object3D\\\\\\\";\\n this.parent = null;\\n this.children = [];\\n this.up = Object3D.DefaultUp.clone();\\n const position = new Vector3();\\n const rotation = new Euler();\\n const quaternion = new Quaternion();\\n const scale = new Vector3(1, 1, 1);\\n function onRotationChange() {\\n quaternion.setFromEuler(rotation, false);\\n }\\n function onQuaternionChange() {\\n rotation.setFromQuaternion(quaternion, void 0, false);\\n }\\n rotation._onChange(onRotationChange);\\n quaternion._onChange(onQuaternionChange);\\n Object.defineProperties(this, {\\n position: {\\n configurable: true,\\n enumerable: true,\\n value: position\\n },\\n rotation: {\\n configurable: true,\\n enumerable: true,\\n value: rotation\\n },\\n quaternion: {\\n configurable: true,\\n enumerable: true,\\n value: quaternion\\n },\\n scale: {\\n configurable: true,\\n enumerable: true,\\n value: scale\\n },\\n modelViewMatrix: {\\n value: new Matrix4()\\n },\\n normalMatrix: {\\n value: new Matrix3()\\n }\\n });\\n this.matrix = new Matrix4();\\n this.matrixWorld = new Matrix4();\\n this.matrixAutoUpdate = Object3D.DefaultMatrixAutoUpdate;\\n this.matrixWorldNeedsUpdate = false;\\n this.layers = new Layers();\\n this.visible = true;\\n this.castShadow = false;\\n this.receiveShadow = false;\\n this.frustumCulled = true;\\n this.renderOrder = 0;\\n this.animations = [];\\n this.userData = {};\\n }\\n onBeforeRender() {\\n }\\n onAfterRender() {\\n }\\n applyMatrix4(matrix) {\\n if (this.matrixAutoUpdate)\\n this.updateMatrix();\\n this.matrix.premultiply(matrix);\\n this.matrix.decompose(this.position, this.quaternion, this.scale);\\n }\\n applyQuaternion(q) {\\n this.quaternion.premultiply(q);\\n return this;\\n }\\n setRotationFromAxisAngle(axis, angle) {\\n this.quaternion.setFromAxisAngle(axis, angle);\\n }\\n setRotationFromEuler(euler) {\\n this.quaternion.setFromEuler(euler, true);\\n }\\n setRotationFromMatrix(m) {\\n this.quaternion.setFromRotationMatrix(m);\\n }\\n setRotationFromQuaternion(q) {\\n this.quaternion.copy(q);\\n }\\n rotateOnAxis(axis, angle) {\\n _q1.setFromAxisAngle(axis, angle);\\n this.quaternion.multiply(_q1);\\n return this;\\n }\\n rotateOnWorldAxis(axis, angle) {\\n _q1.setFromAxisAngle(axis, angle);\\n this.quaternion.premultiply(_q1);\\n return this;\\n }\\n rotateX(angle) {\\n return this.rotateOnAxis(_xAxis, angle);\\n }\\n rotateY(angle) {\\n return this.rotateOnAxis(_yAxis, angle);\\n }\\n rotateZ(angle) {\\n return this.rotateOnAxis(_zAxis, angle);\\n }\\n translateOnAxis(axis, distance) {\\n _v12.copy(axis).applyQuaternion(this.quaternion);\\n this.position.add(_v12.multiplyScalar(distance));\\n return this;\\n }\\n translateX(distance) {\\n return this.translateOnAxis(_xAxis, distance);\\n }\\n translateY(distance) {\\n return this.translateOnAxis(_yAxis, distance);\\n }\\n translateZ(distance) {\\n return this.translateOnAxis(_zAxis, distance);\\n }\\n localToWorld(vector) {\\n return vector.applyMatrix4(this.matrixWorld);\\n }\\n worldToLocal(vector) {\\n return vector.applyMatrix4(_m12.copy(this.matrixWorld).invert());\\n }\\n lookAt(x, y, z) {\\n if (x.isVector3) {\\n _target.copy(x);\\n } else {\\n _target.set(x, y, z);\\n }\\n const parent = this.parent;\\n this.updateWorldMatrix(true, false);\\n _position.setFromMatrixPosition(this.matrixWorld);\\n if (this.isCamera || this.isLight) {\\n _m12.lookAt(_position, _target, this.up);\\n } else {\\n _m12.lookAt(_target, _position, this.up);\\n }\\n this.quaternion.setFromRotationMatrix(_m12);\\n if (parent) {\\n _m12.extractRotation(parent.matrixWorld);\\n _q1.setFromRotationMatrix(_m12);\\n this.quaternion.premultiply(_q1.invert());\\n }\\n }\\n add(object) {\\n if (arguments.length > 1) {\\n for (let i = 0; i < arguments.length; i++) {\\n this.add(arguments[i]);\\n }\\n return this;\\n }\\n if (object === this) {\\n console.error(\\\\\\\"THREE.Object3D.add: object can't be added as a child of itself.\\\\\\\", object);\\n return this;\\n }\\n if (object && object.isObject3D) {\\n if (object.parent !== null) {\\n object.parent.remove(object);\\n }\\n object.parent = this;\\n this.children.push(object);\\n object.dispatchEvent(_addedEvent);\\n } else {\\n console.error(\\\\\\\"THREE.Object3D.add: object not an instance of THREE.Object3D.\\\\\\\", object);\\n }\\n return this;\\n }\\n remove(object) {\\n if (arguments.length > 1) {\\n for (let i = 0; i < arguments.length; i++) {\\n this.remove(arguments[i]);\\n }\\n return this;\\n }\\n const index = this.children.indexOf(object);\\n if (index !== -1) {\\n object.parent = null;\\n this.children.splice(index, 1);\\n object.dispatchEvent(_removedEvent);\\n }\\n return this;\\n }\\n removeFromParent() {\\n const parent = this.parent;\\n if (parent !== null) {\\n parent.remove(this);\\n }\\n return this;\\n }\\n clear() {\\n for (let i = 0; i < this.children.length; i++) {\\n const object = this.children[i];\\n object.parent = null;\\n object.dispatchEvent(_removedEvent);\\n }\\n this.children.length = 0;\\n return this;\\n }\\n attach(object) {\\n this.updateWorldMatrix(true, false);\\n _m12.copy(this.matrixWorld).invert();\\n if (object.parent !== null) {\\n object.parent.updateWorldMatrix(true, false);\\n _m12.multiply(object.parent.matrixWorld);\\n }\\n object.applyMatrix4(_m12);\\n this.add(object);\\n object.updateWorldMatrix(false, true);\\n return this;\\n }\\n getObjectById(id) {\\n return this.getObjectByProperty(\\\\\\\"id\\\\\\\", id);\\n }\\n getObjectByName(name) {\\n return this.getObjectByProperty(\\\\\\\"name\\\\\\\", name);\\n }\\n getObjectByProperty(name, value) {\\n if (this[name] === value)\\n return this;\\n for (let i = 0, l = this.children.length; i < l; i++) {\\n const child = this.children[i];\\n const object = child.getObjectByProperty(name, value);\\n if (object !== void 0) {\\n return object;\\n }\\n }\\n return void 0;\\n }\\n getWorldPosition(target) {\\n this.updateWorldMatrix(true, false);\\n return target.setFromMatrixPosition(this.matrixWorld);\\n }\\n getWorldQuaternion(target) {\\n this.updateWorldMatrix(true, false);\\n this.matrixWorld.decompose(_position, target, _scale);\\n return target;\\n }\\n getWorldScale(target) {\\n this.updateWorldMatrix(true, false);\\n this.matrixWorld.decompose(_position, _quaternion3, target);\\n return target;\\n }\\n getWorldDirection(target) {\\n this.updateWorldMatrix(true, false);\\n const e = this.matrixWorld.elements;\\n return target.set(e[8], e[9], e[10]).normalize();\\n }\\n raycast() {\\n }\\n traverse(callback) {\\n callback(this);\\n const children = this.children;\\n for (let i = 0, l = children.length; i < l; i++) {\\n children[i].traverse(callback);\\n }\\n }\\n traverseVisible(callback) {\\n if (this.visible === false)\\n return;\\n callback(this);\\n const children = this.children;\\n for (let i = 0, l = children.length; i < l; i++) {\\n children[i].traverseVisible(callback);\\n }\\n }\\n traverseAncestors(callback) {\\n const parent = this.parent;\\n if (parent !== null) {\\n callback(parent);\\n parent.traverseAncestors(callback);\\n }\\n }\\n updateMatrix() {\\n this.matrix.compose(this.position, this.quaternion, this.scale);\\n this.matrixWorldNeedsUpdate = true;\\n }\\n updateMatrixWorld(force) {\\n if (this.matrixAutoUpdate)\\n this.updateMatrix();\\n if (this.matrixWorldNeedsUpdate || force) {\\n if (this.parent === null) {\\n this.matrixWorld.copy(this.matrix);\\n } else {\\n this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix);\\n }\\n this.matrixWorldNeedsUpdate = false;\\n force = true;\\n }\\n const children = this.children;\\n for (let i = 0, l = children.length; i < l; i++) {\\n children[i].updateMatrixWorld(force);\\n }\\n }\\n updateWorldMatrix(updateParents, updateChildren) {\\n const parent = this.parent;\\n if (updateParents === true && parent !== null) {\\n parent.updateWorldMatrix(true, false);\\n }\\n if (this.matrixAutoUpdate)\\n this.updateMatrix();\\n if (this.parent === null) {\\n this.matrixWorld.copy(this.matrix);\\n } else {\\n this.matrixWorld.multiplyMatrices(this.parent.matrixWorld, this.matrix);\\n }\\n if (updateChildren === true) {\\n const children = this.children;\\n for (let i = 0, l = children.length; i < l; i++) {\\n children[i].updateWorldMatrix(false, true);\\n }\\n }\\n }\\n toJSON(meta) {\\n const isRootObject = meta === void 0 || typeof meta === \\\\\\\"string\\\\\\\";\\n const output = {};\\n if (isRootObject) {\\n meta = {\\n geometries: {},\\n materials: {},\\n textures: {},\\n images: {},\\n shapes: {},\\n skeletons: {},\\n animations: {}\\n };\\n output.metadata = {\\n version: 4.5,\\n type: \\\\\\\"Object\\\\\\\",\\n generator: \\\\\\\"Object3D.toJSON\\\\\\\"\\n };\\n }\\n const object = {};\\n object.uuid = this.uuid;\\n object.type = this.type;\\n if (this.name !== \\\\\\\"\\\\\\\")\\n object.name = this.name;\\n if (this.castShadow === true)\\n object.castShadow = true;\\n if (this.receiveShadow === true)\\n object.receiveShadow = true;\\n if (this.visible === false)\\n object.visible = false;\\n if (this.frustumCulled === false)\\n object.frustumCulled = false;\\n if (this.renderOrder !== 0)\\n object.renderOrder = this.renderOrder;\\n if (JSON.stringify(this.userData) !== \\\\\\\"{}\\\\\\\")\\n object.userData = this.userData;\\n object.layers = this.layers.mask;\\n object.matrix = this.matrix.toArray();\\n if (this.matrixAutoUpdate === false)\\n object.matrixAutoUpdate = false;\\n if (this.isInstancedMesh) {\\n object.type = \\\\\\\"InstancedMesh\\\\\\\";\\n object.count = this.count;\\n object.instanceMatrix = this.instanceMatrix.toJSON();\\n if (this.instanceColor !== null)\\n object.instanceColor = this.instanceColor.toJSON();\\n }\\n function serialize(library, element) {\\n if (library[element.uuid] === void 0) {\\n library[element.uuid] = element.toJSON(meta);\\n }\\n return element.uuid;\\n }\\n if (this.isScene) {\\n if (this.background) {\\n if (this.background.isColor) {\\n object.background = this.background.toJSON();\\n } else if (this.background.isTexture) {\\n object.background = this.background.toJSON(meta).uuid;\\n }\\n }\\n if (this.environment && this.environment.isTexture) {\\n object.environment = this.environment.toJSON(meta).uuid;\\n }\\n } else if (this.isMesh || this.isLine || this.isPoints) {\\n object.geometry = serialize(meta.geometries, this.geometry);\\n const parameters = this.geometry.parameters;\\n if (parameters !== void 0 && parameters.shapes !== void 0) {\\n const shapes = parameters.shapes;\\n if (Array.isArray(shapes)) {\\n for (let i = 0, l = shapes.length; i < l; i++) {\\n const shape = shapes[i];\\n serialize(meta.shapes, shape);\\n }\\n } else {\\n serialize(meta.shapes, shapes);\\n }\\n }\\n }\\n if (this.isSkinnedMesh) {\\n object.bindMode = this.bindMode;\\n object.bindMatrix = this.bindMatrix.toArray();\\n if (this.skeleton !== void 0) {\\n serialize(meta.skeletons, this.skeleton);\\n object.skeleton = this.skeleton.uuid;\\n }\\n }\\n if (this.material !== void 0) {\\n if (Array.isArray(this.material)) {\\n const uuids = [];\\n for (let i = 0, l = this.material.length; i < l; i++) {\\n uuids.push(serialize(meta.materials, this.material[i]));\\n }\\n object.material = uuids;\\n } else {\\n object.material = serialize(meta.materials, this.material);\\n }\\n }\\n if (this.children.length > 0) {\\n object.children = [];\\n for (let i = 0; i < this.children.length; i++) {\\n object.children.push(this.children[i].toJSON(meta).object);\\n }\\n }\\n if (this.animations.length > 0) {\\n object.animations = [];\\n for (let i = 0; i < this.animations.length; i++) {\\n const animation = this.animations[i];\\n object.animations.push(serialize(meta.animations, animation));\\n }\\n }\\n if (isRootObject) {\\n const geometries = extractFromCache(meta.geometries);\\n const materials2 = extractFromCache(meta.materials);\\n const textures = extractFromCache(meta.textures);\\n const images = extractFromCache(meta.images);\\n const shapes = extractFromCache(meta.shapes);\\n const skeletons = extractFromCache(meta.skeletons);\\n const animations = extractFromCache(meta.animations);\\n if (geometries.length > 0)\\n output.geometries = geometries;\\n if (materials2.length > 0)\\n output.materials = materials2;\\n if (textures.length > 0)\\n output.textures = textures;\\n if (images.length > 0)\\n output.images = images;\\n if (shapes.length > 0)\\n output.shapes = shapes;\\n if (skeletons.length > 0)\\n output.skeletons = skeletons;\\n if (animations.length > 0)\\n output.animations = animations;\\n }\\n output.object = object;\\n return output;\\n function extractFromCache(cache) {\\n const values = [];\\n for (const key in cache) {\\n const data = cache[key];\\n delete data.metadata;\\n values.push(data);\\n }\\n return values;\\n }\\n }\\n clone(recursive) {\\n return new this.constructor().copy(this, recursive);\\n }\\n copy(source, recursive = true) {\\n this.name = source.name;\\n this.up.copy(source.up);\\n this.position.copy(source.position);\\n this.rotation.order = source.rotation.order;\\n this.quaternion.copy(source.quaternion);\\n this.scale.copy(source.scale);\\n this.matrix.copy(source.matrix);\\n this.matrixWorld.copy(source.matrixWorld);\\n this.matrixAutoUpdate = source.matrixAutoUpdate;\\n this.matrixWorldNeedsUpdate = source.matrixWorldNeedsUpdate;\\n this.layers.mask = source.layers.mask;\\n this.visible = source.visible;\\n this.castShadow = source.castShadow;\\n this.receiveShadow = source.receiveShadow;\\n this.frustumCulled = source.frustumCulled;\\n this.renderOrder = source.renderOrder;\\n this.userData = JSON.parse(JSON.stringify(source.userData));\\n if (recursive === true) {\\n for (let i = 0; i < source.children.length; i++) {\\n const child = source.children[i];\\n this.add(child.clone());\\n }\\n }\\n return this;\\n }\\n};\\nObject3D.DefaultUp = new Vector3(0, 1, 0);\\nObject3D.DefaultMatrixAutoUpdate = true;\\nObject3D.prototype.isObject3D = true;\\n\\n// ../../../node_modules/three/src/constants.js\\nvar CullFaceNone = 0;\\nvar CullFaceBack = 1;\\nvar CullFaceFront = 2;\\nvar PCFShadowMap = 1;\\nvar PCFSoftShadowMap = 2;\\nvar VSMShadowMap = 3;\\nvar FrontSide = 0;\\nvar BackSide = 1;\\nvar DoubleSide = 2;\\nvar FlatShading = 1;\\nvar NoBlending = 0;\\nvar NormalBlending = 1;\\nvar AdditiveBlending = 2;\\nvar SubtractiveBlending = 3;\\nvar MultiplyBlending = 4;\\nvar CustomBlending = 5;\\nvar AddEquation = 100;\\nvar SubtractEquation = 101;\\nvar ReverseSubtractEquation = 102;\\nvar MinEquation = 103;\\nvar MaxEquation = 104;\\nvar ZeroFactor = 200;\\nvar OneFactor = 201;\\nvar SrcColorFactor = 202;\\nvar OneMinusSrcColorFactor = 203;\\nvar SrcAlphaFactor = 204;\\nvar OneMinusSrcAlphaFactor = 205;\\nvar DstAlphaFactor = 206;\\nvar OneMinusDstAlphaFactor = 207;\\nvar DstColorFactor = 208;\\nvar OneMinusDstColorFactor = 209;\\nvar SrcAlphaSaturateFactor = 210;\\nvar NeverDepth = 0;\\nvar AlwaysDepth = 1;\\nvar LessDepth = 2;\\nvar LessEqualDepth = 3;\\nvar EqualDepth = 4;\\nvar GreaterEqualDepth = 5;\\nvar GreaterDepth = 6;\\nvar NotEqualDepth = 7;\\nvar MultiplyOperation = 0;\\nvar MixOperation = 1;\\nvar AddOperation = 2;\\nvar NoToneMapping = 0;\\nvar LinearToneMapping = 1;\\nvar ReinhardToneMapping = 2;\\nvar CineonToneMapping = 3;\\nvar ACESFilmicToneMapping = 4;\\nvar CustomToneMapping = 5;\\nvar UVMapping = 300;\\nvar CubeReflectionMapping = 301;\\nvar CubeRefractionMapping = 302;\\nvar EquirectangularReflectionMapping = 303;\\nvar EquirectangularRefractionMapping = 304;\\nvar CubeUVReflectionMapping = 306;\\nvar CubeUVRefractionMapping = 307;\\nvar RepeatWrapping = 1e3;\\nvar ClampToEdgeWrapping = 1001;\\nvar MirroredRepeatWrapping = 1002;\\nvar NearestFilter = 1003;\\nvar NearestMipmapNearestFilter = 1004;\\nvar NearestMipmapLinearFilter = 1005;\\nvar LinearFilter = 1006;\\nvar LinearMipmapNearestFilter = 1007;\\nvar LinearMipmapLinearFilter = 1008;\\nvar UnsignedByteType = 1009;\\nvar ByteType = 1010;\\nvar ShortType = 1011;\\nvar UnsignedShortType = 1012;\\nvar IntType = 1013;\\nvar UnsignedIntType = 1014;\\nvar FloatType = 1015;\\nvar HalfFloatType = 1016;\\nvar UnsignedShort4444Type = 1017;\\nvar UnsignedShort5551Type = 1018;\\nvar UnsignedShort565Type = 1019;\\nvar UnsignedInt248Type = 1020;\\nvar AlphaFormat = 1021;\\nvar RGBFormat = 1022;\\nvar RGBAFormat = 1023;\\nvar LuminanceFormat = 1024;\\nvar LuminanceAlphaFormat = 1025;\\nvar RGBEFormat = RGBAFormat;\\nvar DepthFormat = 1026;\\nvar DepthStencilFormat = 1027;\\nvar RedFormat = 1028;\\nvar RedIntegerFormat = 1029;\\nvar RGFormat = 1030;\\nvar RGIntegerFormat = 1031;\\nvar RGBIntegerFormat = 1032;\\nvar RGBAIntegerFormat = 1033;\\nvar RGB_S3TC_DXT1_Format = 33776;\\nvar RGBA_S3TC_DXT1_Format = 33777;\\nvar RGBA_S3TC_DXT3_Format = 33778;\\nvar RGBA_S3TC_DXT5_Format = 33779;\\nvar RGB_PVRTC_4BPPV1_Format = 35840;\\nvar RGB_PVRTC_2BPPV1_Format = 35841;\\nvar RGBA_PVRTC_4BPPV1_Format = 35842;\\nvar RGBA_PVRTC_2BPPV1_Format = 35843;\\nvar RGB_ETC1_Format = 36196;\\nvar RGB_ETC2_Format = 37492;\\nvar RGBA_ETC2_EAC_Format = 37496;\\nvar RGBA_ASTC_4x4_Format = 37808;\\nvar RGBA_ASTC_5x4_Format = 37809;\\nvar RGBA_ASTC_5x5_Format = 37810;\\nvar RGBA_ASTC_6x5_Format = 37811;\\nvar RGBA_ASTC_6x6_Format = 37812;\\nvar RGBA_ASTC_8x5_Format = 37813;\\nvar RGBA_ASTC_8x6_Format = 37814;\\nvar RGBA_ASTC_8x8_Format = 37815;\\nvar RGBA_ASTC_10x5_Format = 37816;\\nvar RGBA_ASTC_10x6_Format = 37817;\\nvar RGBA_ASTC_10x8_Format = 37818;\\nvar RGBA_ASTC_10x10_Format = 37819;\\nvar RGBA_ASTC_12x10_Format = 37820;\\nvar RGBA_ASTC_12x12_Format = 37821;\\nvar RGBA_BPTC_Format = 36492;\\nvar SRGB8_ALPHA8_ASTC_4x4_Format = 37840;\\nvar SRGB8_ALPHA8_ASTC_5x4_Format = 37841;\\nvar SRGB8_ALPHA8_ASTC_5x5_Format = 37842;\\nvar SRGB8_ALPHA8_ASTC_6x5_Format = 37843;\\nvar SRGB8_ALPHA8_ASTC_6x6_Format = 37844;\\nvar SRGB8_ALPHA8_ASTC_8x5_Format = 37845;\\nvar SRGB8_ALPHA8_ASTC_8x6_Format = 37846;\\nvar SRGB8_ALPHA8_ASTC_8x8_Format = 37847;\\nvar SRGB8_ALPHA8_ASTC_10x5_Format = 37848;\\nvar SRGB8_ALPHA8_ASTC_10x6_Format = 37849;\\nvar SRGB8_ALPHA8_ASTC_10x8_Format = 37850;\\nvar SRGB8_ALPHA8_ASTC_10x10_Format = 37851;\\nvar SRGB8_ALPHA8_ASTC_12x10_Format = 37852;\\nvar SRGB8_ALPHA8_ASTC_12x12_Format = 37853;\\nvar ZeroCurvatureEnding = 2400;\\nvar ZeroSlopeEnding = 2401;\\nvar WrapAroundEnding = 2402;\\nvar LinearEncoding = 3e3;\\nvar sRGBEncoding = 3001;\\nvar GammaEncoding = 3007;\\nvar RGBEEncoding = 3002;\\nvar LogLuvEncoding = 3003;\\nvar RGBM7Encoding = 3004;\\nvar RGBM16Encoding = 3005;\\nvar RGBDEncoding = 3006;\\nvar BasicDepthPacking = 3200;\\nvar RGBADepthPacking = 3201;\\nvar TangentSpaceNormalMap = 0;\\nvar ObjectSpaceNormalMap = 1;\\nvar KeepStencilOp = 7680;\\nvar AlwaysStencilFunc = 519;\\nvar StaticDrawUsage = 35044;\\nvar GLSL3 = \\\\\\\"300 es\\\\\\\";\\n\\n// ../../../node_modules/three/src/math/Box3.js\\nvar Box3 = class {\\n constructor(min = new Vector3(Infinity, Infinity, Infinity), max = new Vector3(-Infinity, -Infinity, -Infinity)) {\\n this.min = min;\\n this.max = max;\\n }\\n set(min, max) {\\n this.min.copy(min);\\n this.max.copy(max);\\n return this;\\n }\\n setFromArray(array) {\\n let minX = Infinity;\\n let minY = Infinity;\\n let minZ = Infinity;\\n let maxX = -Infinity;\\n let maxY = -Infinity;\\n let maxZ = -Infinity;\\n for (let i = 0, l = array.length; i < l; i += 3) {\\n const x = array[i];\\n const y = array[i + 1];\\n const z = array[i + 2];\\n if (x < minX)\\n minX = x;\\n if (y < minY)\\n minY = y;\\n if (z < minZ)\\n minZ = z;\\n if (x > maxX)\\n maxX = x;\\n if (y > maxY)\\n maxY = y;\\n if (z > maxZ)\\n maxZ = z;\\n }\\n this.min.set(minX, minY, minZ);\\n this.max.set(maxX, maxY, maxZ);\\n return this;\\n }\\n setFromBufferAttribute(attribute) {\\n let minX = Infinity;\\n let minY = Infinity;\\n let minZ = Infinity;\\n let maxX = -Infinity;\\n let maxY = -Infinity;\\n let maxZ = -Infinity;\\n for (let i = 0, l = attribute.count; i < l; i++) {\\n const x = attribute.getX(i);\\n const y = attribute.getY(i);\\n const z = attribute.getZ(i);\\n if (x < minX)\\n minX = x;\\n if (y < minY)\\n minY = y;\\n if (z < minZ)\\n minZ = z;\\n if (x > maxX)\\n maxX = x;\\n if (y > maxY)\\n maxY = y;\\n if (z > maxZ)\\n maxZ = z;\\n }\\n this.min.set(minX, minY, minZ);\\n this.max.set(maxX, maxY, maxZ);\\n return this;\\n }\\n setFromPoints(points2) {\\n this.makeEmpty();\\n for (let i = 0, il = points2.length; i < il; i++) {\\n this.expandByPoint(points2[i]);\\n }\\n return this;\\n }\\n setFromCenterAndSize(center, size) {\\n const halfSize = _vector2.copy(size).multiplyScalar(0.5);\\n this.min.copy(center).sub(halfSize);\\n this.max.copy(center).add(halfSize);\\n return this;\\n }\\n setFromObject(object) {\\n this.makeEmpty();\\n return this.expandByObject(object);\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n copy(box) {\\n this.min.copy(box.min);\\n this.max.copy(box.max);\\n return this;\\n }\\n makeEmpty() {\\n this.min.x = this.min.y = this.min.z = Infinity;\\n this.max.x = this.max.y = this.max.z = -Infinity;\\n return this;\\n }\\n isEmpty() {\\n return this.max.x < this.min.x || this.max.y < this.min.y || this.max.z < this.min.z;\\n }\\n getCenter(target) {\\n return this.isEmpty() ? target.set(0, 0, 0) : target.addVectors(this.min, this.max).multiplyScalar(0.5);\\n }\\n getSize(target) {\\n return this.isEmpty() ? target.set(0, 0, 0) : target.subVectors(this.max, this.min);\\n }\\n expandByPoint(point) {\\n this.min.min(point);\\n this.max.max(point);\\n return this;\\n }\\n expandByVector(vector) {\\n this.min.sub(vector);\\n this.max.add(vector);\\n return this;\\n }\\n expandByScalar(scalar) {\\n this.min.addScalar(-scalar);\\n this.max.addScalar(scalar);\\n return this;\\n }\\n expandByObject(object) {\\n object.updateWorldMatrix(false, false);\\n const geometry = object.geometry;\\n if (geometry !== void 0) {\\n if (geometry.boundingBox === null) {\\n geometry.computeBoundingBox();\\n }\\n _box.copy(geometry.boundingBox);\\n _box.applyMatrix4(object.matrixWorld);\\n this.union(_box);\\n }\\n const children = object.children;\\n for (let i = 0, l = children.length; i < l; i++) {\\n this.expandByObject(children[i]);\\n }\\n return this;\\n }\\n containsPoint(point) {\\n return point.x < this.min.x || point.x > this.max.x || point.y < this.min.y || point.y > this.max.y || point.z < this.min.z || point.z > this.max.z ? false : true;\\n }\\n containsBox(box) {\\n return this.min.x <= box.min.x && box.max.x <= this.max.x && this.min.y <= box.min.y && box.max.y <= this.max.y && this.min.z <= box.min.z && box.max.z <= this.max.z;\\n }\\n getParameter(point, target) {\\n return target.set((point.x - this.min.x) / (this.max.x - this.min.x), (point.y - this.min.y) / (this.max.y - this.min.y), (point.z - this.min.z) / (this.max.z - this.min.z));\\n }\\n intersectsBox(box) {\\n return box.max.x < this.min.x || box.min.x > this.max.x || box.max.y < this.min.y || box.min.y > this.max.y || box.max.z < this.min.z || box.min.z > this.max.z ? false : true;\\n }\\n intersectsSphere(sphere) {\\n this.clampPoint(sphere.center, _vector2);\\n return _vector2.distanceToSquared(sphere.center) <= sphere.radius * sphere.radius;\\n }\\n intersectsPlane(plane) {\\n let min, max;\\n if (plane.normal.x > 0) {\\n min = plane.normal.x * this.min.x;\\n max = plane.normal.x * this.max.x;\\n } else {\\n min = plane.normal.x * this.max.x;\\n max = plane.normal.x * this.min.x;\\n }\\n if (plane.normal.y > 0) {\\n min += plane.normal.y * this.min.y;\\n max += plane.normal.y * this.max.y;\\n } else {\\n min += plane.normal.y * this.max.y;\\n max += plane.normal.y * this.min.y;\\n }\\n if (plane.normal.z > 0) {\\n min += plane.normal.z * this.min.z;\\n max += plane.normal.z * this.max.z;\\n } else {\\n min += plane.normal.z * this.max.z;\\n max += plane.normal.z * this.min.z;\\n }\\n return min <= -plane.constant && max >= -plane.constant;\\n }\\n intersectsTriangle(triangle) {\\n if (this.isEmpty()) {\\n return false;\\n }\\n this.getCenter(_center);\\n _extents.subVectors(this.max, _center);\\n _v0.subVectors(triangle.a, _center);\\n _v13.subVectors(triangle.b, _center);\\n _v2.subVectors(triangle.c, _center);\\n _f0.subVectors(_v13, _v0);\\n _f1.subVectors(_v2, _v13);\\n _f2.subVectors(_v0, _v2);\\n let axes = [\\n 0,\\n -_f0.z,\\n _f0.y,\\n 0,\\n -_f1.z,\\n _f1.y,\\n 0,\\n -_f2.z,\\n _f2.y,\\n _f0.z,\\n 0,\\n -_f0.x,\\n _f1.z,\\n 0,\\n -_f1.x,\\n _f2.z,\\n 0,\\n -_f2.x,\\n -_f0.y,\\n _f0.x,\\n 0,\\n -_f1.y,\\n _f1.x,\\n 0,\\n -_f2.y,\\n _f2.x,\\n 0\\n ];\\n if (!satForAxes(axes, _v0, _v13, _v2, _extents)) {\\n return false;\\n }\\n axes = [1, 0, 0, 0, 1, 0, 0, 0, 1];\\n if (!satForAxes(axes, _v0, _v13, _v2, _extents)) {\\n return false;\\n }\\n _triangleNormal.crossVectors(_f0, _f1);\\n axes = [_triangleNormal.x, _triangleNormal.y, _triangleNormal.z];\\n return satForAxes(axes, _v0, _v13, _v2, _extents);\\n }\\n clampPoint(point, target) {\\n return target.copy(point).clamp(this.min, this.max);\\n }\\n distanceToPoint(point) {\\n const clampedPoint = _vector2.copy(point).clamp(this.min, this.max);\\n return clampedPoint.sub(point).length();\\n }\\n getBoundingSphere(target) {\\n this.getCenter(target.center);\\n target.radius = this.getSize(_vector2).length() * 0.5;\\n return target;\\n }\\n intersect(box) {\\n this.min.max(box.min);\\n this.max.min(box.max);\\n if (this.isEmpty())\\n this.makeEmpty();\\n return this;\\n }\\n union(box) {\\n this.min.min(box.min);\\n this.max.max(box.max);\\n return this;\\n }\\n applyMatrix4(matrix) {\\n if (this.isEmpty())\\n return this;\\n _points[0].set(this.min.x, this.min.y, this.min.z).applyMatrix4(matrix);\\n _points[1].set(this.min.x, this.min.y, this.max.z).applyMatrix4(matrix);\\n _points[2].set(this.min.x, this.max.y, this.min.z).applyMatrix4(matrix);\\n _points[3].set(this.min.x, this.max.y, this.max.z).applyMatrix4(matrix);\\n _points[4].set(this.max.x, this.min.y, this.min.z).applyMatrix4(matrix);\\n _points[5].set(this.max.x, this.min.y, this.max.z).applyMatrix4(matrix);\\n _points[6].set(this.max.x, this.max.y, this.min.z).applyMatrix4(matrix);\\n _points[7].set(this.max.x, this.max.y, this.max.z).applyMatrix4(matrix);\\n this.setFromPoints(_points);\\n return this;\\n }\\n translate(offset) {\\n this.min.add(offset);\\n this.max.add(offset);\\n return this;\\n }\\n equals(box) {\\n return box.min.equals(this.min) && box.max.equals(this.max);\\n }\\n};\\nBox3.prototype.isBox3 = true;\\nvar _points = [\\n /* @__PURE__ */ new Vector3(),\\n /* @__PURE__ */ new Vector3(),\\n /* @__PURE__ */ new Vector3(),\\n /* @__PURE__ */ new Vector3(),\\n /* @__PURE__ */ new Vector3(),\\n /* @__PURE__ */ new Vector3(),\\n /* @__PURE__ */ new Vector3(),\\n /* @__PURE__ */ new Vector3()\\n];\\nvar _vector2 = /* @__PURE__ */ new Vector3();\\nvar _box = /* @__PURE__ */ new Box3();\\nvar _v0 = /* @__PURE__ */ new Vector3();\\nvar _v13 = /* @__PURE__ */ new Vector3();\\nvar _v2 = /* @__PURE__ */ new Vector3();\\nvar _f0 = /* @__PURE__ */ new Vector3();\\nvar _f1 = /* @__PURE__ */ new Vector3();\\nvar _f2 = /* @__PURE__ */ new Vector3();\\nvar _center = /* @__PURE__ */ new Vector3();\\nvar _extents = /* @__PURE__ */ new Vector3();\\nvar _triangleNormal = /* @__PURE__ */ new Vector3();\\nvar _testAxis = /* @__PURE__ */ new Vector3();\\nfunction satForAxes(axes, v0, v1, v2, extents) {\\n for (let i = 0, j = axes.length - 3; i <= j; i += 3) {\\n _testAxis.fromArray(axes, i);\\n const r = extents.x * Math.abs(_testAxis.x) + extents.y * Math.abs(_testAxis.y) + extents.z * Math.abs(_testAxis.z);\\n const p0 = v0.dot(_testAxis);\\n const p1 = v1.dot(_testAxis);\\n const p2 = v2.dot(_testAxis);\\n if (Math.max(-Math.max(p0, p1, p2), Math.min(p0, p1, p2)) > r) {\\n return false;\\n }\\n }\\n return true;\\n}\\n\\n// ../../../node_modules/three/src/math/Sphere.js\\nvar _box2 = /* @__PURE__ */ new Box3();\\nvar _v14 = /* @__PURE__ */ new Vector3();\\nvar _toFarthestPoint = /* @__PURE__ */ new Vector3();\\nvar _toPoint = /* @__PURE__ */ new Vector3();\\nvar Sphere = class {\\n constructor(center = new Vector3(), radius = -1) {\\n this.center = center;\\n this.radius = radius;\\n }\\n set(center, radius) {\\n this.center.copy(center);\\n this.radius = radius;\\n return this;\\n }\\n setFromPoints(points2, optionalCenter) {\\n const center = this.center;\\n if (optionalCenter !== void 0) {\\n center.copy(optionalCenter);\\n } else {\\n _box2.setFromPoints(points2).getCenter(center);\\n }\\n let maxRadiusSq = 0;\\n for (let i = 0, il = points2.length; i < il; i++) {\\n maxRadiusSq = Math.max(maxRadiusSq, center.distanceToSquared(points2[i]));\\n }\\n this.radius = Math.sqrt(maxRadiusSq);\\n return this;\\n }\\n copy(sphere) {\\n this.center.copy(sphere.center);\\n this.radius = sphere.radius;\\n return this;\\n }\\n isEmpty() {\\n return this.radius < 0;\\n }\\n makeEmpty() {\\n this.center.set(0, 0, 0);\\n this.radius = -1;\\n return this;\\n }\\n containsPoint(point) {\\n return point.distanceToSquared(this.center) <= this.radius * this.radius;\\n }\\n distanceToPoint(point) {\\n return point.distanceTo(this.center) - this.radius;\\n }\\n intersectsSphere(sphere) {\\n const radiusSum = this.radius + sphere.radius;\\n return sphere.center.distanceToSquared(this.center) <= radiusSum * radiusSum;\\n }\\n intersectsBox(box) {\\n return box.intersectsSphere(this);\\n }\\n intersectsPlane(plane) {\\n return Math.abs(plane.distanceToPoint(this.center)) <= this.radius;\\n }\\n clampPoint(point, target) {\\n const deltaLengthSq = this.center.distanceToSquared(point);\\n target.copy(point);\\n if (deltaLengthSq > this.radius * this.radius) {\\n target.sub(this.center).normalize();\\n target.multiplyScalar(this.radius).add(this.center);\\n }\\n return target;\\n }\\n getBoundingBox(target) {\\n if (this.isEmpty()) {\\n target.makeEmpty();\\n return target;\\n }\\n target.set(this.center, this.center);\\n target.expandByScalar(this.radius);\\n return target;\\n }\\n applyMatrix4(matrix) {\\n this.center.applyMatrix4(matrix);\\n this.radius = this.radius * matrix.getMaxScaleOnAxis();\\n return this;\\n }\\n translate(offset) {\\n this.center.add(offset);\\n return this;\\n }\\n expandByPoint(point) {\\n _toPoint.subVectors(point, this.center);\\n const lengthSq = _toPoint.lengthSq();\\n if (lengthSq > this.radius * this.radius) {\\n const length = Math.sqrt(lengthSq);\\n const missingRadiusHalf = (length - this.radius) * 0.5;\\n this.center.add(_toPoint.multiplyScalar(missingRadiusHalf / length));\\n this.radius += missingRadiusHalf;\\n }\\n return this;\\n }\\n union(sphere) {\\n _toFarthestPoint.subVectors(sphere.center, this.center).normalize().multiplyScalar(sphere.radius);\\n this.expandByPoint(_v14.copy(sphere.center).add(_toFarthestPoint));\\n this.expandByPoint(_v14.copy(sphere.center).sub(_toFarthestPoint));\\n return this;\\n }\\n equals(sphere) {\\n return sphere.center.equals(this.center) && sphere.radius === this.radius;\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n};\\n\\n// ../../../node_modules/three/src/math/Plane.js\\nvar _vector1 = /* @__PURE__ */ new Vector3();\\nvar _vector22 = /* @__PURE__ */ new Vector3();\\nvar _normalMatrix = /* @__PURE__ */ new Matrix3();\\nvar Plane = class {\\n constructor(normal = new Vector3(1, 0, 0), constant = 0) {\\n this.normal = normal;\\n this.constant = constant;\\n }\\n set(normal, constant) {\\n this.normal.copy(normal);\\n this.constant = constant;\\n return this;\\n }\\n setComponents(x, y, z, w) {\\n this.normal.set(x, y, z);\\n this.constant = w;\\n return this;\\n }\\n setFromNormalAndCoplanarPoint(normal, point) {\\n this.normal.copy(normal);\\n this.constant = -point.dot(this.normal);\\n return this;\\n }\\n setFromCoplanarPoints(a, b, c) {\\n const normal = _vector1.subVectors(c, b).cross(_vector22.subVectors(a, b)).normalize();\\n this.setFromNormalAndCoplanarPoint(normal, a);\\n return this;\\n }\\n copy(plane) {\\n this.normal.copy(plane.normal);\\n this.constant = plane.constant;\\n return this;\\n }\\n normalize() {\\n const inverseNormalLength = 1 / this.normal.length();\\n this.normal.multiplyScalar(inverseNormalLength);\\n this.constant *= inverseNormalLength;\\n return this;\\n }\\n negate() {\\n this.constant *= -1;\\n this.normal.negate();\\n return this;\\n }\\n distanceToPoint(point) {\\n return this.normal.dot(point) + this.constant;\\n }\\n distanceToSphere(sphere) {\\n return this.distanceToPoint(sphere.center) - sphere.radius;\\n }\\n projectPoint(point, target) {\\n return target.copy(this.normal).multiplyScalar(-this.distanceToPoint(point)).add(point);\\n }\\n intersectLine(line, target) {\\n const direction = line.delta(_vector1);\\n const denominator = this.normal.dot(direction);\\n if (denominator === 0) {\\n if (this.distanceToPoint(line.start) === 0) {\\n return target.copy(line.start);\\n }\\n return null;\\n }\\n const t = -(line.start.dot(this.normal) + this.constant) / denominator;\\n if (t < 0 || t > 1) {\\n return null;\\n }\\n return target.copy(direction).multiplyScalar(t).add(line.start);\\n }\\n intersectsLine(line) {\\n const startSign = this.distanceToPoint(line.start);\\n const endSign = this.distanceToPoint(line.end);\\n return startSign < 0 && endSign > 0 || endSign < 0 && startSign > 0;\\n }\\n intersectsBox(box) {\\n return box.intersectsPlane(this);\\n }\\n intersectsSphere(sphere) {\\n return sphere.intersectsPlane(this);\\n }\\n coplanarPoint(target) {\\n return target.copy(this.normal).multiplyScalar(-this.constant);\\n }\\n applyMatrix4(matrix, optionalNormalMatrix) {\\n const normalMatrix = optionalNormalMatrix || _normalMatrix.getNormalMatrix(matrix);\\n const referencePoint = this.coplanarPoint(_vector1).applyMatrix4(matrix);\\n const normal = this.normal.applyMatrix3(normalMatrix).normalize();\\n this.constant = -referencePoint.dot(normal);\\n return this;\\n }\\n translate(offset) {\\n this.constant -= offset.dot(this.normal);\\n return this;\\n }\\n equals(plane) {\\n return plane.normal.equals(this.normal) && plane.constant === this.constant;\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n};\\nPlane.prototype.isPlane = true;\\n\\n// ../../../node_modules/three/src/math/Frustum.js\\nvar _sphere = /* @__PURE__ */ new Sphere();\\nvar _vector3 = /* @__PURE__ */ new Vector3();\\nvar Frustum = class {\\n constructor(p0 = new Plane(), p1 = new Plane(), p2 = new Plane(), p3 = new Plane(), p4 = new Plane(), p5 = new Plane()) {\\n this.planes = [p0, p1, p2, p3, p4, p5];\\n }\\n set(p0, p1, p2, p3, p4, p5) {\\n const planes = this.planes;\\n planes[0].copy(p0);\\n planes[1].copy(p1);\\n planes[2].copy(p2);\\n planes[3].copy(p3);\\n planes[4].copy(p4);\\n planes[5].copy(p5);\\n return this;\\n }\\n copy(frustum) {\\n const planes = this.planes;\\n for (let i = 0; i < 6; i++) {\\n planes[i].copy(frustum.planes[i]);\\n }\\n return this;\\n }\\n setFromProjectionMatrix(m) {\\n const planes = this.planes;\\n const me = m.elements;\\n const me0 = me[0], me1 = me[1], me2 = me[2], me3 = me[3];\\n const me4 = me[4], me5 = me[5], me6 = me[6], me7 = me[7];\\n const me8 = me[8], me9 = me[9], me10 = me[10], me11 = me[11];\\n const me12 = me[12], me13 = me[13], me14 = me[14], me15 = me[15];\\n planes[0].setComponents(me3 - me0, me7 - me4, me11 - me8, me15 - me12).normalize();\\n planes[1].setComponents(me3 + me0, me7 + me4, me11 + me8, me15 + me12).normalize();\\n planes[2].setComponents(me3 + me1, me7 + me5, me11 + me9, me15 + me13).normalize();\\n planes[3].setComponents(me3 - me1, me7 - me5, me11 - me9, me15 - me13).normalize();\\n planes[4].setComponents(me3 - me2, me7 - me6, me11 - me10, me15 - me14).normalize();\\n planes[5].setComponents(me3 + me2, me7 + me6, me11 + me10, me15 + me14).normalize();\\n return this;\\n }\\n intersectsObject(object) {\\n const geometry = object.geometry;\\n if (geometry.boundingSphere === null)\\n geometry.computeBoundingSphere();\\n _sphere.copy(geometry.boundingSphere).applyMatrix4(object.matrixWorld);\\n return this.intersectsSphere(_sphere);\\n }\\n intersectsSprite(sprite2) {\\n _sphere.center.set(0, 0, 0);\\n _sphere.radius = 0.7071067811865476;\\n _sphere.applyMatrix4(sprite2.matrixWorld);\\n return this.intersectsSphere(_sphere);\\n }\\n intersectsSphere(sphere) {\\n const planes = this.planes;\\n const center = sphere.center;\\n const negRadius = -sphere.radius;\\n for (let i = 0; i < 6; i++) {\\n const distance = planes[i].distanceToPoint(center);\\n if (distance < negRadius) {\\n return false;\\n }\\n }\\n return true;\\n }\\n intersectsBox(box) {\\n const planes = this.planes;\\n for (let i = 0; i < 6; i++) {\\n const plane = planes[i];\\n _vector3.x = plane.normal.x > 0 ? box.max.x : box.min.x;\\n _vector3.y = plane.normal.y > 0 ? box.max.y : box.min.y;\\n _vector3.z = plane.normal.z > 0 ? box.max.z : box.min.z;\\n if (plane.distanceToPoint(_vector3) < 0) {\\n return false;\\n }\\n }\\n return true;\\n }\\n containsPoint(point) {\\n const planes = this.planes;\\n for (let i = 0; i < 6; i++) {\\n if (planes[i].distanceToPoint(point) < 0) {\\n return false;\\n }\\n }\\n return true;\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n};\\n\\n// ../../../node_modules/three/src/math/Vector4.js\\nvar Vector4 = class {\\n constructor(x = 0, y = 0, z = 0, w = 1) {\\n this.x = x;\\n this.y = y;\\n this.z = z;\\n this.w = w;\\n }\\n get width() {\\n return this.z;\\n }\\n set width(value) {\\n this.z = value;\\n }\\n get height() {\\n return this.w;\\n }\\n set height(value) {\\n this.w = value;\\n }\\n set(x, y, z, w) {\\n this.x = x;\\n this.y = y;\\n this.z = z;\\n this.w = w;\\n return this;\\n }\\n setScalar(scalar) {\\n this.x = scalar;\\n this.y = scalar;\\n this.z = scalar;\\n this.w = scalar;\\n return this;\\n }\\n setX(x) {\\n this.x = x;\\n return this;\\n }\\n setY(y) {\\n this.y = y;\\n return this;\\n }\\n setZ(z) {\\n this.z = z;\\n return this;\\n }\\n setW(w) {\\n this.w = w;\\n return this;\\n }\\n setComponent(index, value) {\\n switch (index) {\\n case 0:\\n this.x = value;\\n break;\\n case 1:\\n this.y = value;\\n break;\\n case 2:\\n this.z = value;\\n break;\\n case 3:\\n this.w = value;\\n break;\\n default:\\n throw new Error(\\\\\\\"index is out of range: \\\\\\\" + index);\\n }\\n return this;\\n }\\n getComponent(index) {\\n switch (index) {\\n case 0:\\n return this.x;\\n case 1:\\n return this.y;\\n case 2:\\n return this.z;\\n case 3:\\n return this.w;\\n default:\\n throw new Error(\\\\\\\"index is out of range: \\\\\\\" + index);\\n }\\n }\\n clone() {\\n return new this.constructor(this.x, this.y, this.z, this.w);\\n }\\n copy(v) {\\n this.x = v.x;\\n this.y = v.y;\\n this.z = v.z;\\n this.w = v.w !== void 0 ? v.w : 1;\\n return this;\\n }\\n add(v, w) {\\n if (w !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector4: .add() now only accepts one argument. Use .addVectors( a, b ) instead.\\\\\\\");\\n return this.addVectors(v, w);\\n }\\n this.x += v.x;\\n this.y += v.y;\\n this.z += v.z;\\n this.w += v.w;\\n return this;\\n }\\n addScalar(s) {\\n this.x += s;\\n this.y += s;\\n this.z += s;\\n this.w += s;\\n return this;\\n }\\n addVectors(a, b) {\\n this.x = a.x + b.x;\\n this.y = a.y + b.y;\\n this.z = a.z + b.z;\\n this.w = a.w + b.w;\\n return this;\\n }\\n addScaledVector(v, s) {\\n this.x += v.x * s;\\n this.y += v.y * s;\\n this.z += v.z * s;\\n this.w += v.w * s;\\n return this;\\n }\\n sub(v, w) {\\n if (w !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector4: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.\\\\\\\");\\n return this.subVectors(v, w);\\n }\\n this.x -= v.x;\\n this.y -= v.y;\\n this.z -= v.z;\\n this.w -= v.w;\\n return this;\\n }\\n subScalar(s) {\\n this.x -= s;\\n this.y -= s;\\n this.z -= s;\\n this.w -= s;\\n return this;\\n }\\n subVectors(a, b) {\\n this.x = a.x - b.x;\\n this.y = a.y - b.y;\\n this.z = a.z - b.z;\\n this.w = a.w - b.w;\\n return this;\\n }\\n multiply(v) {\\n this.x *= v.x;\\n this.y *= v.y;\\n this.z *= v.z;\\n this.w *= v.w;\\n return this;\\n }\\n multiplyScalar(scalar) {\\n this.x *= scalar;\\n this.y *= scalar;\\n this.z *= scalar;\\n this.w *= scalar;\\n return this;\\n }\\n applyMatrix4(m) {\\n const x = this.x, y = this.y, z = this.z, w = this.w;\\n const e = m.elements;\\n this.x = e[0] * x + e[4] * y + e[8] * z + e[12] * w;\\n this.y = e[1] * x + e[5] * y + e[9] * z + e[13] * w;\\n this.z = e[2] * x + e[6] * y + e[10] * z + e[14] * w;\\n this.w = e[3] * x + e[7] * y + e[11] * z + e[15] * w;\\n return this;\\n }\\n divideScalar(scalar) {\\n return this.multiplyScalar(1 / scalar);\\n }\\n setAxisAngleFromQuaternion(q) {\\n this.w = 2 * Math.acos(q.w);\\n const s = Math.sqrt(1 - q.w * q.w);\\n if (s < 1e-4) {\\n this.x = 1;\\n this.y = 0;\\n this.z = 0;\\n } else {\\n this.x = q.x / s;\\n this.y = q.y / s;\\n this.z = q.z / s;\\n }\\n return this;\\n }\\n setAxisAngleFromRotationMatrix(m) {\\n let angle, x, y, z;\\n const epsilon = 0.01, epsilon2 = 0.1, te = m.elements, m11 = te[0], m12 = te[4], m13 = te[8], m21 = te[1], m22 = te[5], m23 = te[9], m31 = te[2], m32 = te[6], m33 = te[10];\\n if (Math.abs(m12 - m21) < epsilon && Math.abs(m13 - m31) < epsilon && Math.abs(m23 - m32) < epsilon) {\\n if (Math.abs(m12 + m21) < epsilon2 && Math.abs(m13 + m31) < epsilon2 && Math.abs(m23 + m32) < epsilon2 && Math.abs(m11 + m22 + m33 - 3) < epsilon2) {\\n this.set(1, 0, 0, 0);\\n return this;\\n }\\n angle = Math.PI;\\n const xx = (m11 + 1) / 2;\\n const yy = (m22 + 1) / 2;\\n const zz = (m33 + 1) / 2;\\n const xy = (m12 + m21) / 4;\\n const xz = (m13 + m31) / 4;\\n const yz = (m23 + m32) / 4;\\n if (xx > yy && xx > zz) {\\n if (xx < epsilon) {\\n x = 0;\\n y = 0.707106781;\\n z = 0.707106781;\\n } else {\\n x = Math.sqrt(xx);\\n y = xy / x;\\n z = xz / x;\\n }\\n } else if (yy > zz) {\\n if (yy < epsilon) {\\n x = 0.707106781;\\n y = 0;\\n z = 0.707106781;\\n } else {\\n y = Math.sqrt(yy);\\n x = xy / y;\\n z = yz / y;\\n }\\n } else {\\n if (zz < epsilon) {\\n x = 0.707106781;\\n y = 0.707106781;\\n z = 0;\\n } else {\\n z = Math.sqrt(zz);\\n x = xz / z;\\n y = yz / z;\\n }\\n }\\n this.set(x, y, z, angle);\\n return this;\\n }\\n let s = Math.sqrt((m32 - m23) * (m32 - m23) + (m13 - m31) * (m13 - m31) + (m21 - m12) * (m21 - m12));\\n if (Math.abs(s) < 1e-3)\\n s = 1;\\n this.x = (m32 - m23) / s;\\n this.y = (m13 - m31) / s;\\n this.z = (m21 - m12) / s;\\n this.w = Math.acos((m11 + m22 + m33 - 1) / 2);\\n return this;\\n }\\n min(v) {\\n this.x = Math.min(this.x, v.x);\\n this.y = Math.min(this.y, v.y);\\n this.z = Math.min(this.z, v.z);\\n this.w = Math.min(this.w, v.w);\\n return this;\\n }\\n max(v) {\\n this.x = Math.max(this.x, v.x);\\n this.y = Math.max(this.y, v.y);\\n this.z = Math.max(this.z, v.z);\\n this.w = Math.max(this.w, v.w);\\n return this;\\n }\\n clamp(min, max) {\\n this.x = Math.max(min.x, Math.min(max.x, this.x));\\n this.y = Math.max(min.y, Math.min(max.y, this.y));\\n this.z = Math.max(min.z, Math.min(max.z, this.z));\\n this.w = Math.max(min.w, Math.min(max.w, this.w));\\n return this;\\n }\\n clampScalar(minVal, maxVal) {\\n this.x = Math.max(minVal, Math.min(maxVal, this.x));\\n this.y = Math.max(minVal, Math.min(maxVal, this.y));\\n this.z = Math.max(minVal, Math.min(maxVal, this.z));\\n this.w = Math.max(minVal, Math.min(maxVal, this.w));\\n return this;\\n }\\n clampLength(min, max) {\\n const length = this.length();\\n return this.divideScalar(length || 1).multiplyScalar(Math.max(min, Math.min(max, length)));\\n }\\n floor() {\\n this.x = Math.floor(this.x);\\n this.y = Math.floor(this.y);\\n this.z = Math.floor(this.z);\\n this.w = Math.floor(this.w);\\n return this;\\n }\\n ceil() {\\n this.x = Math.ceil(this.x);\\n this.y = Math.ceil(this.y);\\n this.z = Math.ceil(this.z);\\n this.w = Math.ceil(this.w);\\n return this;\\n }\\n round() {\\n this.x = Math.round(this.x);\\n this.y = Math.round(this.y);\\n this.z = Math.round(this.z);\\n this.w = Math.round(this.w);\\n return this;\\n }\\n roundToZero() {\\n this.x = this.x < 0 ? Math.ceil(this.x) : Math.floor(this.x);\\n this.y = this.y < 0 ? Math.ceil(this.y) : Math.floor(this.y);\\n this.z = this.z < 0 ? Math.ceil(this.z) : Math.floor(this.z);\\n this.w = this.w < 0 ? Math.ceil(this.w) : Math.floor(this.w);\\n return this;\\n }\\n negate() {\\n this.x = -this.x;\\n this.y = -this.y;\\n this.z = -this.z;\\n this.w = -this.w;\\n return this;\\n }\\n dot(v) {\\n return this.x * v.x + this.y * v.y + this.z * v.z + this.w * v.w;\\n }\\n lengthSq() {\\n return this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w;\\n }\\n length() {\\n return Math.sqrt(this.x * this.x + this.y * this.y + this.z * this.z + this.w * this.w);\\n }\\n manhattanLength() {\\n return Math.abs(this.x) + Math.abs(this.y) + Math.abs(this.z) + Math.abs(this.w);\\n }\\n normalize() {\\n return this.divideScalar(this.length() || 1);\\n }\\n setLength(length) {\\n return this.normalize().multiplyScalar(length);\\n }\\n lerp(v, alpha) {\\n this.x += (v.x - this.x) * alpha;\\n this.y += (v.y - this.y) * alpha;\\n this.z += (v.z - this.z) * alpha;\\n this.w += (v.w - this.w) * alpha;\\n return this;\\n }\\n lerpVectors(v1, v2, alpha) {\\n this.x = v1.x + (v2.x - v1.x) * alpha;\\n this.y = v1.y + (v2.y - v1.y) * alpha;\\n this.z = v1.z + (v2.z - v1.z) * alpha;\\n this.w = v1.w + (v2.w - v1.w) * alpha;\\n return this;\\n }\\n equals(v) {\\n return v.x === this.x && v.y === this.y && v.z === this.z && v.w === this.w;\\n }\\n fromArray(array, offset = 0) {\\n this.x = array[offset];\\n this.y = array[offset + 1];\\n this.z = array[offset + 2];\\n this.w = array[offset + 3];\\n return this;\\n }\\n toArray(array = [], offset = 0) {\\n array[offset] = this.x;\\n array[offset + 1] = this.y;\\n array[offset + 2] = this.z;\\n array[offset + 3] = this.w;\\n return array;\\n }\\n fromBufferAttribute(attribute, index, offset) {\\n if (offset !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector4: offset has been removed from .fromBufferAttribute().\\\\\\\");\\n }\\n this.x = attribute.getX(index);\\n this.y = attribute.getY(index);\\n this.z = attribute.getZ(index);\\n this.w = attribute.getW(index);\\n return this;\\n }\\n random() {\\n this.x = Math.random();\\n this.y = Math.random();\\n this.z = Math.random();\\n this.w = Math.random();\\n return this;\\n }\\n *[Symbol.iterator]() {\\n yield this.x;\\n yield this.y;\\n yield this.z;\\n yield this.w;\\n }\\n};\\nVector4.prototype.isVector4 = true;\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLAnimation.js\\nfunction WebGLAnimation() {\\n let context = null;\\n let isAnimating = false;\\n let animationLoop = null;\\n let requestId = null;\\n function onAnimationFrame(time, frame) {\\n animationLoop(time, frame);\\n requestId = context.requestAnimationFrame(onAnimationFrame);\\n }\\n return {\\n start: function() {\\n if (isAnimating === true)\\n return;\\n if (animationLoop === null)\\n return;\\n requestId = context.requestAnimationFrame(onAnimationFrame);\\n isAnimating = true;\\n },\\n stop: function() {\\n context.cancelAnimationFrame(requestId);\\n isAnimating = false;\\n },\\n setAnimationLoop: function(callback) {\\n animationLoop = callback;\\n },\\n setContext: function(value) {\\n context = value;\\n }\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLAttributes.js\\nfunction WebGLAttributes(gl, capabilities) {\\n const isWebGL2 = capabilities.isWebGL2;\\n const buffers = new WeakMap();\\n function createBuffer(attribute, bufferType) {\\n const array = attribute.array;\\n const usage = attribute.usage;\\n const buffer = gl.createBuffer();\\n gl.bindBuffer(bufferType, buffer);\\n gl.bufferData(bufferType, array, usage);\\n attribute.onUploadCallback();\\n let type = gl.FLOAT;\\n if (array instanceof Float32Array) {\\n type = gl.FLOAT;\\n } else if (array instanceof Float64Array) {\\n console.warn(\\\\\\\"THREE.WebGLAttributes: Unsupported data buffer format: Float64Array.\\\\\\\");\\n } else if (array instanceof Uint16Array) {\\n if (attribute.isFloat16BufferAttribute) {\\n if (isWebGL2) {\\n type = gl.HALF_FLOAT;\\n } else {\\n console.warn(\\\\\\\"THREE.WebGLAttributes: Usage of Float16BufferAttribute requires WebGL2.\\\\\\\");\\n }\\n } else {\\n type = gl.UNSIGNED_SHORT;\\n }\\n } else if (array instanceof Int16Array) {\\n type = gl.SHORT;\\n } else if (array instanceof Uint32Array) {\\n type = gl.UNSIGNED_INT;\\n } else if (array instanceof Int32Array) {\\n type = gl.INT;\\n } else if (array instanceof Int8Array) {\\n type = gl.BYTE;\\n } else if (array instanceof Uint8Array) {\\n type = gl.UNSIGNED_BYTE;\\n } else if (array instanceof Uint8ClampedArray) {\\n type = gl.UNSIGNED_BYTE;\\n }\\n return {\\n buffer,\\n type,\\n bytesPerElement: array.BYTES_PER_ELEMENT,\\n version: attribute.version\\n };\\n }\\n function updateBuffer(buffer, attribute, bufferType) {\\n const array = attribute.array;\\n const updateRange = attribute.updateRange;\\n gl.bindBuffer(bufferType, buffer);\\n if (updateRange.count === -1) {\\n gl.bufferSubData(bufferType, 0, array);\\n } else {\\n if (isWebGL2) {\\n gl.bufferSubData(bufferType, updateRange.offset * array.BYTES_PER_ELEMENT, array, updateRange.offset, updateRange.count);\\n } else {\\n gl.bufferSubData(bufferType, updateRange.offset * array.BYTES_PER_ELEMENT, array.subarray(updateRange.offset, updateRange.offset + updateRange.count));\\n }\\n updateRange.count = -1;\\n }\\n }\\n function get(attribute) {\\n if (attribute.isInterleavedBufferAttribute)\\n attribute = attribute.data;\\n return buffers.get(attribute);\\n }\\n function remove(attribute) {\\n if (attribute.isInterleavedBufferAttribute)\\n attribute = attribute.data;\\n const data = buffers.get(attribute);\\n if (data) {\\n gl.deleteBuffer(data.buffer);\\n buffers.delete(attribute);\\n }\\n }\\n function update(attribute, bufferType) {\\n if (attribute.isGLBufferAttribute) {\\n const cached = buffers.get(attribute);\\n if (!cached || cached.version < attribute.version) {\\n buffers.set(attribute, {\\n buffer: attribute.buffer,\\n type: attribute.type,\\n bytesPerElement: attribute.elementSize,\\n version: attribute.version\\n });\\n }\\n return;\\n }\\n if (attribute.isInterleavedBufferAttribute)\\n attribute = attribute.data;\\n const data = buffers.get(attribute);\\n if (data === void 0) {\\n buffers.set(attribute, createBuffer(attribute, bufferType));\\n } else if (data.version < attribute.version) {\\n updateBuffer(data.buffer, attribute, bufferType);\\n data.version = attribute.version;\\n }\\n }\\n return {\\n get,\\n remove,\\n update\\n };\\n}\\n\\n// ../../../node_modules/three/src/math/Vector2.js\\nvar Vector2 = class {\\n constructor(x = 0, y = 0) {\\n this.x = x;\\n this.y = y;\\n }\\n get width() {\\n return this.x;\\n }\\n set width(value) {\\n this.x = value;\\n }\\n get height() {\\n return this.y;\\n }\\n set height(value) {\\n this.y = value;\\n }\\n set(x, y) {\\n this.x = x;\\n this.y = y;\\n return this;\\n }\\n setScalar(scalar) {\\n this.x = scalar;\\n this.y = scalar;\\n return this;\\n }\\n setX(x) {\\n this.x = x;\\n return this;\\n }\\n setY(y) {\\n this.y = y;\\n return this;\\n }\\n setComponent(index, value) {\\n switch (index) {\\n case 0:\\n this.x = value;\\n break;\\n case 1:\\n this.y = value;\\n break;\\n default:\\n throw new Error(\\\\\\\"index is out of range: \\\\\\\" + index);\\n }\\n return this;\\n }\\n getComponent(index) {\\n switch (index) {\\n case 0:\\n return this.x;\\n case 1:\\n return this.y;\\n default:\\n throw new Error(\\\\\\\"index is out of range: \\\\\\\" + index);\\n }\\n }\\n clone() {\\n return new this.constructor(this.x, this.y);\\n }\\n copy(v) {\\n this.x = v.x;\\n this.y = v.y;\\n return this;\\n }\\n add(v, w) {\\n if (w !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector2: .add() now only accepts one argument. Use .addVectors( a, b ) instead.\\\\\\\");\\n return this.addVectors(v, w);\\n }\\n this.x += v.x;\\n this.y += v.y;\\n return this;\\n }\\n addScalar(s) {\\n this.x += s;\\n this.y += s;\\n return this;\\n }\\n addVectors(a, b) {\\n this.x = a.x + b.x;\\n this.y = a.y + b.y;\\n return this;\\n }\\n addScaledVector(v, s) {\\n this.x += v.x * s;\\n this.y += v.y * s;\\n return this;\\n }\\n sub(v, w) {\\n if (w !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector2: .sub() now only accepts one argument. Use .subVectors( a, b ) instead.\\\\\\\");\\n return this.subVectors(v, w);\\n }\\n this.x -= v.x;\\n this.y -= v.y;\\n return this;\\n }\\n subScalar(s) {\\n this.x -= s;\\n this.y -= s;\\n return this;\\n }\\n subVectors(a, b) {\\n this.x = a.x - b.x;\\n this.y = a.y - b.y;\\n return this;\\n }\\n multiply(v) {\\n this.x *= v.x;\\n this.y *= v.y;\\n return this;\\n }\\n multiplyScalar(scalar) {\\n this.x *= scalar;\\n this.y *= scalar;\\n return this;\\n }\\n divide(v) {\\n this.x /= v.x;\\n this.y /= v.y;\\n return this;\\n }\\n divideScalar(scalar) {\\n return this.multiplyScalar(1 / scalar);\\n }\\n applyMatrix3(m) {\\n const x = this.x, y = this.y;\\n const e = m.elements;\\n this.x = e[0] * x + e[3] * y + e[6];\\n this.y = e[1] * x + e[4] * y + e[7];\\n return this;\\n }\\n min(v) {\\n this.x = Math.min(this.x, v.x);\\n this.y = Math.min(this.y, v.y);\\n return this;\\n }\\n max(v) {\\n this.x = Math.max(this.x, v.x);\\n this.y = Math.max(this.y, v.y);\\n return this;\\n }\\n clamp(min, max) {\\n this.x = Math.max(min.x, Math.min(max.x, this.x));\\n this.y = Math.max(min.y, Math.min(max.y, this.y));\\n return this;\\n }\\n clampScalar(minVal, maxVal) {\\n this.x = Math.max(minVal, Math.min(maxVal, this.x));\\n this.y = Math.max(minVal, Math.min(maxVal, this.y));\\n return this;\\n }\\n clampLength(min, max) {\\n const length = this.length();\\n return this.divideScalar(length || 1).multiplyScalar(Math.max(min, Math.min(max, length)));\\n }\\n floor() {\\n this.x = Math.floor(this.x);\\n this.y = Math.floor(this.y);\\n return this;\\n }\\n ceil() {\\n this.x = Math.ceil(this.x);\\n this.y = Math.ceil(this.y);\\n return this;\\n }\\n round() {\\n this.x = Math.round(this.x);\\n this.y = Math.round(this.y);\\n return this;\\n }\\n roundToZero() {\\n this.x = this.x < 0 ? Math.ceil(this.x) : Math.floor(this.x);\\n this.y = this.y < 0 ? Math.ceil(this.y) : Math.floor(this.y);\\n return this;\\n }\\n negate() {\\n this.x = -this.x;\\n this.y = -this.y;\\n return this;\\n }\\n dot(v) {\\n return this.x * v.x + this.y * v.y;\\n }\\n cross(v) {\\n return this.x * v.y - this.y * v.x;\\n }\\n lengthSq() {\\n return this.x * this.x + this.y * this.y;\\n }\\n length() {\\n return Math.sqrt(this.x * this.x + this.y * this.y);\\n }\\n manhattanLength() {\\n return Math.abs(this.x) + Math.abs(this.y);\\n }\\n normalize() {\\n return this.divideScalar(this.length() || 1);\\n }\\n angle() {\\n const angle = Math.atan2(-this.y, -this.x) + Math.PI;\\n return angle;\\n }\\n distanceTo(v) {\\n return Math.sqrt(this.distanceToSquared(v));\\n }\\n distanceToSquared(v) {\\n const dx = this.x - v.x, dy = this.y - v.y;\\n return dx * dx + dy * dy;\\n }\\n manhattanDistanceTo(v) {\\n return Math.abs(this.x - v.x) + Math.abs(this.y - v.y);\\n }\\n setLength(length) {\\n return this.normalize().multiplyScalar(length);\\n }\\n lerp(v, alpha) {\\n this.x += (v.x - this.x) * alpha;\\n this.y += (v.y - this.y) * alpha;\\n return this;\\n }\\n lerpVectors(v1, v2, alpha) {\\n this.x = v1.x + (v2.x - v1.x) * alpha;\\n this.y = v1.y + (v2.y - v1.y) * alpha;\\n return this;\\n }\\n equals(v) {\\n return v.x === this.x && v.y === this.y;\\n }\\n fromArray(array, offset = 0) {\\n this.x = array[offset];\\n this.y = array[offset + 1];\\n return this;\\n }\\n toArray(array = [], offset = 0) {\\n array[offset] = this.x;\\n array[offset + 1] = this.y;\\n return array;\\n }\\n fromBufferAttribute(attribute, index, offset) {\\n if (offset !== void 0) {\\n console.warn(\\\\\\\"THREE.Vector2: offset has been removed from .fromBufferAttribute().\\\\\\\");\\n }\\n this.x = attribute.getX(index);\\n this.y = attribute.getY(index);\\n return this;\\n }\\n rotateAround(center, angle) {\\n const c = Math.cos(angle), s = Math.sin(angle);\\n const x = this.x - center.x;\\n const y = this.y - center.y;\\n this.x = x * c - y * s + center.x;\\n this.y = x * s + y * c + center.y;\\n return this;\\n }\\n random() {\\n this.x = Math.random();\\n this.y = Math.random();\\n return this;\\n }\\n *[Symbol.iterator]() {\\n yield this.x;\\n yield this.y;\\n }\\n};\\nVector2.prototype.isVector2 = true;\\n\\n// ../../../node_modules/three/src/math/Color.js\\nvar _colorKeywords = {\\n aliceblue: 15792383,\\n antiquewhite: 16444375,\\n aqua: 65535,\\n aquamarine: 8388564,\\n azure: 15794175,\\n beige: 16119260,\\n bisque: 16770244,\\n black: 0,\\n blanchedalmond: 16772045,\\n blue: 255,\\n blueviolet: 9055202,\\n brown: 10824234,\\n burlywood: 14596231,\\n cadetblue: 6266528,\\n chartreuse: 8388352,\\n chocolate: 13789470,\\n coral: 16744272,\\n cornflowerblue: 6591981,\\n cornsilk: 16775388,\\n crimson: 14423100,\\n cyan: 65535,\\n darkblue: 139,\\n darkcyan: 35723,\\n darkgoldenrod: 12092939,\\n darkgray: 11119017,\\n darkgreen: 25600,\\n darkgrey: 11119017,\\n darkkhaki: 12433259,\\n darkmagenta: 9109643,\\n darkolivegreen: 5597999,\\n darkorange: 16747520,\\n darkorchid: 10040012,\\n darkred: 9109504,\\n darksalmon: 15308410,\\n darkseagreen: 9419919,\\n darkslateblue: 4734347,\\n darkslategray: 3100495,\\n darkslategrey: 3100495,\\n darkturquoise: 52945,\\n darkviolet: 9699539,\\n deeppink: 16716947,\\n deepskyblue: 49151,\\n dimgray: 6908265,\\n dimgrey: 6908265,\\n dodgerblue: 2003199,\\n firebrick: 11674146,\\n floralwhite: 16775920,\\n forestgreen: 2263842,\\n fuchsia: 16711935,\\n gainsboro: 14474460,\\n ghostwhite: 16316671,\\n gold: 16766720,\\n goldenrod: 14329120,\\n gray: 8421504,\\n green: 32768,\\n greenyellow: 11403055,\\n grey: 8421504,\\n honeydew: 15794160,\\n hotpink: 16738740,\\n indianred: 13458524,\\n indigo: 4915330,\\n ivory: 16777200,\\n khaki: 15787660,\\n lavender: 15132410,\\n lavenderblush: 16773365,\\n lawngreen: 8190976,\\n lemonchiffon: 16775885,\\n lightblue: 11393254,\\n lightcoral: 15761536,\\n lightcyan: 14745599,\\n lightgoldenrodyellow: 16448210,\\n lightgray: 13882323,\\n lightgreen: 9498256,\\n lightgrey: 13882323,\\n lightpink: 16758465,\\n lightsalmon: 16752762,\\n lightseagreen: 2142890,\\n lightskyblue: 8900346,\\n lightslategray: 7833753,\\n lightslategrey: 7833753,\\n lightsteelblue: 11584734,\\n lightyellow: 16777184,\\n lime: 65280,\\n limegreen: 3329330,\\n linen: 16445670,\\n magenta: 16711935,\\n maroon: 8388608,\\n mediumaquamarine: 6737322,\\n mediumblue: 205,\\n mediumorchid: 12211667,\\n mediumpurple: 9662683,\\n mediumseagreen: 3978097,\\n mediumslateblue: 8087790,\\n mediumspringgreen: 64154,\\n mediumturquoise: 4772300,\\n mediumvioletred: 13047173,\\n midnightblue: 1644912,\\n mintcream: 16121850,\\n mistyrose: 16770273,\\n moccasin: 16770229,\\n navajowhite: 16768685,\\n navy: 128,\\n oldlace: 16643558,\\n olive: 8421376,\\n olivedrab: 7048739,\\n orange: 16753920,\\n orangered: 16729344,\\n orchid: 14315734,\\n palegoldenrod: 15657130,\\n palegreen: 10025880,\\n paleturquoise: 11529966,\\n palevioletred: 14381203,\\n papayawhip: 16773077,\\n peachpuff: 16767673,\\n peru: 13468991,\\n pink: 16761035,\\n plum: 14524637,\\n powderblue: 11591910,\\n purple: 8388736,\\n rebeccapurple: 6697881,\\n red: 16711680,\\n rosybrown: 12357519,\\n royalblue: 4286945,\\n saddlebrown: 9127187,\\n salmon: 16416882,\\n sandybrown: 16032864,\\n seagreen: 3050327,\\n seashell: 16774638,\\n sienna: 10506797,\\n silver: 12632256,\\n skyblue: 8900331,\\n slateblue: 6970061,\\n slategray: 7372944,\\n slategrey: 7372944,\\n snow: 16775930,\\n springgreen: 65407,\\n steelblue: 4620980,\\n tan: 13808780,\\n teal: 32896,\\n thistle: 14204888,\\n tomato: 16737095,\\n turquoise: 4251856,\\n violet: 15631086,\\n wheat: 16113331,\\n white: 16777215,\\n whitesmoke: 16119285,\\n yellow: 16776960,\\n yellowgreen: 10145074\\n};\\nvar _hslA = {h: 0, s: 0, l: 0};\\nvar _hslB = {h: 0, s: 0, l: 0};\\nfunction hue2rgb(p, q, t) {\\n if (t < 0)\\n t += 1;\\n if (t > 1)\\n t -= 1;\\n if (t < 1 / 6)\\n return p + (q - p) * 6 * t;\\n if (t < 1 / 2)\\n return q;\\n if (t < 2 / 3)\\n return p + (q - p) * 6 * (2 / 3 - t);\\n return p;\\n}\\nfunction SRGBToLinear(c) {\\n return c < 0.04045 ? c * 0.0773993808 : Math.pow(c * 0.9478672986 + 0.0521327014, 2.4);\\n}\\nfunction LinearToSRGB(c) {\\n return c < 31308e-7 ? c * 12.92 : 1.055 * Math.pow(c, 0.41666) - 0.055;\\n}\\nvar Color = class {\\n constructor(r, g, b) {\\n if (g === void 0 && b === void 0) {\\n return this.set(r);\\n }\\n return this.setRGB(r, g, b);\\n }\\n set(value) {\\n if (value && value.isColor) {\\n this.copy(value);\\n } else if (typeof value === \\\\\\\"number\\\\\\\") {\\n this.setHex(value);\\n } else if (typeof value === \\\\\\\"string\\\\\\\") {\\n this.setStyle(value);\\n }\\n return this;\\n }\\n setScalar(scalar) {\\n this.r = scalar;\\n this.g = scalar;\\n this.b = scalar;\\n return this;\\n }\\n setHex(hex) {\\n hex = Math.floor(hex);\\n this.r = (hex >> 16 & 255) / 255;\\n this.g = (hex >> 8 & 255) / 255;\\n this.b = (hex & 255) / 255;\\n return this;\\n }\\n setRGB(r, g, b) {\\n this.r = r;\\n this.g = g;\\n this.b = b;\\n return this;\\n }\\n setHSL(h, s, l) {\\n h = euclideanModulo(h, 1);\\n s = clamp(s, 0, 1);\\n l = clamp(l, 0, 1);\\n if (s === 0) {\\n this.r = this.g = this.b = l;\\n } else {\\n const p = l <= 0.5 ? l * (1 + s) : l + s - l * s;\\n const q = 2 * l - p;\\n this.r = hue2rgb(q, p, h + 1 / 3);\\n this.g = hue2rgb(q, p, h);\\n this.b = hue2rgb(q, p, h - 1 / 3);\\n }\\n return this;\\n }\\n setStyle(style) {\\n function handleAlpha(string) {\\n if (string === void 0)\\n return;\\n if (parseFloat(string) < 1) {\\n console.warn(\\\\\\\"THREE.Color: Alpha component of \\\\\\\" + style + \\\\\\\" will be ignored.\\\\\\\");\\n }\\n }\\n let m;\\n if (m = /^((?:rgb|hsl)a?)\\\\(([^\\\\)]*)\\\\)/.exec(style)) {\\n let color;\\n const name = m[1];\\n const components = m[2];\\n switch (name) {\\n case \\\\\\\"rgb\\\\\\\":\\n case \\\\\\\"rgba\\\\\\\":\\n if (color = /^\\\\s*(\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(components)) {\\n this.r = Math.min(255, parseInt(color[1], 10)) / 255;\\n this.g = Math.min(255, parseInt(color[2], 10)) / 255;\\n this.b = Math.min(255, parseInt(color[3], 10)) / 255;\\n handleAlpha(color[4]);\\n return this;\\n }\\n if (color = /^\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(components)) {\\n this.r = Math.min(100, parseInt(color[1], 10)) / 100;\\n this.g = Math.min(100, parseInt(color[2], 10)) / 100;\\n this.b = Math.min(100, parseInt(color[3], 10)) / 100;\\n handleAlpha(color[4]);\\n return this;\\n }\\n break;\\n case \\\\\\\"hsl\\\\\\\":\\n case \\\\\\\"hsla\\\\\\\":\\n if (color = /^\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*,\\\\s*(\\\\d+)\\\\%\\\\s*(?:,\\\\s*(\\\\d*\\\\.?\\\\d+)\\\\s*)?$/.exec(components)) {\\n const h = parseFloat(color[1]) / 360;\\n const s = parseInt(color[2], 10) / 100;\\n const l = parseInt(color[3], 10) / 100;\\n handleAlpha(color[4]);\\n return this.setHSL(h, s, l);\\n }\\n break;\\n }\\n } else if (m = /^\\\\#([A-Fa-f\\\\d]+)$/.exec(style)) {\\n const hex = m[1];\\n const size = hex.length;\\n if (size === 3) {\\n this.r = parseInt(hex.charAt(0) + hex.charAt(0), 16) / 255;\\n this.g = parseInt(hex.charAt(1) + hex.charAt(1), 16) / 255;\\n this.b = parseInt(hex.charAt(2) + hex.charAt(2), 16) / 255;\\n return this;\\n } else if (size === 6) {\\n this.r = parseInt(hex.charAt(0) + hex.charAt(1), 16) / 255;\\n this.g = parseInt(hex.charAt(2) + hex.charAt(3), 16) / 255;\\n this.b = parseInt(hex.charAt(4) + hex.charAt(5), 16) / 255;\\n return this;\\n }\\n }\\n if (style && style.length > 0) {\\n return this.setColorName(style);\\n }\\n return this;\\n }\\n setColorName(style) {\\n const hex = _colorKeywords[style.toLowerCase()];\\n if (hex !== void 0) {\\n this.setHex(hex);\\n } else {\\n console.warn(\\\\\\\"THREE.Color: Unknown color \\\\\\\" + style);\\n }\\n return this;\\n }\\n clone() {\\n return new this.constructor(this.r, this.g, this.b);\\n }\\n copy(color) {\\n this.r = color.r;\\n this.g = color.g;\\n this.b = color.b;\\n return this;\\n }\\n copyGammaToLinear(color, gammaFactor = 2) {\\n this.r = Math.pow(color.r, gammaFactor);\\n this.g = Math.pow(color.g, gammaFactor);\\n this.b = Math.pow(color.b, gammaFactor);\\n return this;\\n }\\n copyLinearToGamma(color, gammaFactor = 2) {\\n const safeInverse = gammaFactor > 0 ? 1 / gammaFactor : 1;\\n this.r = Math.pow(color.r, safeInverse);\\n this.g = Math.pow(color.g, safeInverse);\\n this.b = Math.pow(color.b, safeInverse);\\n return this;\\n }\\n convertGammaToLinear(gammaFactor) {\\n this.copyGammaToLinear(this, gammaFactor);\\n return this;\\n }\\n convertLinearToGamma(gammaFactor) {\\n this.copyLinearToGamma(this, gammaFactor);\\n return this;\\n }\\n copySRGBToLinear(color) {\\n this.r = SRGBToLinear(color.r);\\n this.g = SRGBToLinear(color.g);\\n this.b = SRGBToLinear(color.b);\\n return this;\\n }\\n copyLinearToSRGB(color) {\\n this.r = LinearToSRGB(color.r);\\n this.g = LinearToSRGB(color.g);\\n this.b = LinearToSRGB(color.b);\\n return this;\\n }\\n convertSRGBToLinear() {\\n this.copySRGBToLinear(this);\\n return this;\\n }\\n convertLinearToSRGB() {\\n this.copyLinearToSRGB(this);\\n return this;\\n }\\n getHex() {\\n return this.r * 255 << 16 ^ this.g * 255 << 8 ^ this.b * 255 << 0;\\n }\\n getHexString() {\\n return (\\\\\\\"000000\\\\\\\" + this.getHex().toString(16)).slice(-6);\\n }\\n getHSL(target) {\\n const r = this.r, g = this.g, b = this.b;\\n const max = Math.max(r, g, b);\\n const min = Math.min(r, g, b);\\n let hue, saturation;\\n const lightness = (min + max) / 2;\\n if (min === max) {\\n hue = 0;\\n saturation = 0;\\n } else {\\n const delta = max - min;\\n saturation = lightness <= 0.5 ? delta / (max + min) : delta / (2 - max - min);\\n switch (max) {\\n case r:\\n hue = (g - b) / delta + (g < b ? 6 : 0);\\n break;\\n case g:\\n hue = (b - r) / delta + 2;\\n break;\\n case b:\\n hue = (r - g) / delta + 4;\\n break;\\n }\\n hue /= 6;\\n }\\n target.h = hue;\\n target.s = saturation;\\n target.l = lightness;\\n return target;\\n }\\n getStyle() {\\n return \\\\\\\"rgb(\\\\\\\" + (this.r * 255 | 0) + \\\\\\\",\\\\\\\" + (this.g * 255 | 0) + \\\\\\\",\\\\\\\" + (this.b * 255 | 0) + \\\\\\\")\\\\\\\";\\n }\\n offsetHSL(h, s, l) {\\n this.getHSL(_hslA);\\n _hslA.h += h;\\n _hslA.s += s;\\n _hslA.l += l;\\n this.setHSL(_hslA.h, _hslA.s, _hslA.l);\\n return this;\\n }\\n add(color) {\\n this.r += color.r;\\n this.g += color.g;\\n this.b += color.b;\\n return this;\\n }\\n addColors(color1, color2) {\\n this.r = color1.r + color2.r;\\n this.g = color1.g + color2.g;\\n this.b = color1.b + color2.b;\\n return this;\\n }\\n addScalar(s) {\\n this.r += s;\\n this.g += s;\\n this.b += s;\\n return this;\\n }\\n sub(color) {\\n this.r = Math.max(0, this.r - color.r);\\n this.g = Math.max(0, this.g - color.g);\\n this.b = Math.max(0, this.b - color.b);\\n return this;\\n }\\n multiply(color) {\\n this.r *= color.r;\\n this.g *= color.g;\\n this.b *= color.b;\\n return this;\\n }\\n multiplyScalar(s) {\\n this.r *= s;\\n this.g *= s;\\n this.b *= s;\\n return this;\\n }\\n lerp(color, alpha) {\\n this.r += (color.r - this.r) * alpha;\\n this.g += (color.g - this.g) * alpha;\\n this.b += (color.b - this.b) * alpha;\\n return this;\\n }\\n lerpColors(color1, color2, alpha) {\\n this.r = color1.r + (color2.r - color1.r) * alpha;\\n this.g = color1.g + (color2.g - color1.g) * alpha;\\n this.b = color1.b + (color2.b - color1.b) * alpha;\\n return this;\\n }\\n lerpHSL(color, alpha) {\\n this.getHSL(_hslA);\\n color.getHSL(_hslB);\\n const h = lerp(_hslA.h, _hslB.h, alpha);\\n const s = lerp(_hslA.s, _hslB.s, alpha);\\n const l = lerp(_hslA.l, _hslB.l, alpha);\\n this.setHSL(h, s, l);\\n return this;\\n }\\n equals(c) {\\n return c.r === this.r && c.g === this.g && c.b === this.b;\\n }\\n fromArray(array, offset = 0) {\\n this.r = array[offset];\\n this.g = array[offset + 1];\\n this.b = array[offset + 2];\\n return this;\\n }\\n toArray(array = [], offset = 0) {\\n array[offset] = this.r;\\n array[offset + 1] = this.g;\\n array[offset + 2] = this.b;\\n return array;\\n }\\n fromBufferAttribute(attribute, index) {\\n this.r = attribute.getX(index);\\n this.g = attribute.getY(index);\\n this.b = attribute.getZ(index);\\n if (attribute.normalized === true) {\\n this.r /= 255;\\n this.g /= 255;\\n this.b /= 255;\\n }\\n return this;\\n }\\n toJSON() {\\n return this.getHex();\\n }\\n};\\nColor.NAMES = _colorKeywords;\\nColor.prototype.isColor = true;\\nColor.prototype.r = 1;\\nColor.prototype.g = 1;\\nColor.prototype.b = 1;\\n\\n// ../../../node_modules/three/src/core/BufferAttribute.js\\nvar _vector4 = /* @__PURE__ */ new Vector3();\\nvar _vector23 = /* @__PURE__ */ new Vector2();\\nvar BufferAttribute = class {\\n constructor(array, itemSize, normalized) {\\n if (Array.isArray(array)) {\\n throw new TypeError(\\\\\\\"THREE.BufferAttribute: array should be a Typed Array.\\\\\\\");\\n }\\n this.name = \\\\\\\"\\\\\\\";\\n this.array = array;\\n this.itemSize = itemSize;\\n this.count = array !== void 0 ? array.length / itemSize : 0;\\n this.normalized = normalized === true;\\n this.usage = StaticDrawUsage;\\n this.updateRange = {offset: 0, count: -1};\\n this.version = 0;\\n }\\n onUploadCallback() {\\n }\\n set needsUpdate(value) {\\n if (value === true)\\n this.version++;\\n }\\n setUsage(value) {\\n this.usage = value;\\n return this;\\n }\\n copy(source) {\\n this.name = source.name;\\n this.array = new source.array.constructor(source.array);\\n this.itemSize = source.itemSize;\\n this.count = source.count;\\n this.normalized = source.normalized;\\n this.usage = source.usage;\\n return this;\\n }\\n copyAt(index1, attribute, index2) {\\n index1 *= this.itemSize;\\n index2 *= attribute.itemSize;\\n for (let i = 0, l = this.itemSize; i < l; i++) {\\n this.array[index1 + i] = attribute.array[index2 + i];\\n }\\n return this;\\n }\\n copyArray(array) {\\n this.array.set(array);\\n return this;\\n }\\n copyColorsArray(colors) {\\n const array = this.array;\\n let offset = 0;\\n for (let i = 0, l = colors.length; i < l; i++) {\\n let color = colors[i];\\n if (color === void 0) {\\n console.warn(\\\\\\\"THREE.BufferAttribute.copyColorsArray(): color is undefined\\\\\\\", i);\\n color = new Color();\\n }\\n array[offset++] = color.r;\\n array[offset++] = color.g;\\n array[offset++] = color.b;\\n }\\n return this;\\n }\\n copyVector2sArray(vectors) {\\n const array = this.array;\\n let offset = 0;\\n for (let i = 0, l = vectors.length; i < l; i++) {\\n let vector = vectors[i];\\n if (vector === void 0) {\\n console.warn(\\\\\\\"THREE.BufferAttribute.copyVector2sArray(): vector is undefined\\\\\\\", i);\\n vector = new Vector2();\\n }\\n array[offset++] = vector.x;\\n array[offset++] = vector.y;\\n }\\n return this;\\n }\\n copyVector3sArray(vectors) {\\n const array = this.array;\\n let offset = 0;\\n for (let i = 0, l = vectors.length; i < l; i++) {\\n let vector = vectors[i];\\n if (vector === void 0) {\\n console.warn(\\\\\\\"THREE.BufferAttribute.copyVector3sArray(): vector is undefined\\\\\\\", i);\\n vector = new Vector3();\\n }\\n array[offset++] = vector.x;\\n array[offset++] = vector.y;\\n array[offset++] = vector.z;\\n }\\n return this;\\n }\\n copyVector4sArray(vectors) {\\n const array = this.array;\\n let offset = 0;\\n for (let i = 0, l = vectors.length; i < l; i++) {\\n let vector = vectors[i];\\n if (vector === void 0) {\\n console.warn(\\\\\\\"THREE.BufferAttribute.copyVector4sArray(): vector is undefined\\\\\\\", i);\\n vector = new Vector4();\\n }\\n array[offset++] = vector.x;\\n array[offset++] = vector.y;\\n array[offset++] = vector.z;\\n array[offset++] = vector.w;\\n }\\n return this;\\n }\\n applyMatrix3(m) {\\n if (this.itemSize === 2) {\\n for (let i = 0, l = this.count; i < l; i++) {\\n _vector23.fromBufferAttribute(this, i);\\n _vector23.applyMatrix3(m);\\n this.setXY(i, _vector23.x, _vector23.y);\\n }\\n } else if (this.itemSize === 3) {\\n for (let i = 0, l = this.count; i < l; i++) {\\n _vector4.fromBufferAttribute(this, i);\\n _vector4.applyMatrix3(m);\\n this.setXYZ(i, _vector4.x, _vector4.y, _vector4.z);\\n }\\n }\\n return this;\\n }\\n applyMatrix4(m) {\\n for (let i = 0, l = this.count; i < l; i++) {\\n _vector4.x = this.getX(i);\\n _vector4.y = this.getY(i);\\n _vector4.z = this.getZ(i);\\n _vector4.applyMatrix4(m);\\n this.setXYZ(i, _vector4.x, _vector4.y, _vector4.z);\\n }\\n return this;\\n }\\n applyNormalMatrix(m) {\\n for (let i = 0, l = this.count; i < l; i++) {\\n _vector4.x = this.getX(i);\\n _vector4.y = this.getY(i);\\n _vector4.z = this.getZ(i);\\n _vector4.applyNormalMatrix(m);\\n this.setXYZ(i, _vector4.x, _vector4.y, _vector4.z);\\n }\\n return this;\\n }\\n transformDirection(m) {\\n for (let i = 0, l = this.count; i < l; i++) {\\n _vector4.x = this.getX(i);\\n _vector4.y = this.getY(i);\\n _vector4.z = this.getZ(i);\\n _vector4.transformDirection(m);\\n this.setXYZ(i, _vector4.x, _vector4.y, _vector4.z);\\n }\\n return this;\\n }\\n set(value, offset = 0) {\\n this.array.set(value, offset);\\n return this;\\n }\\n getX(index) {\\n return this.array[index * this.itemSize];\\n }\\n setX(index, x) {\\n this.array[index * this.itemSize] = x;\\n return this;\\n }\\n getY(index) {\\n return this.array[index * this.itemSize + 1];\\n }\\n setY(index, y) {\\n this.array[index * this.itemSize + 1] = y;\\n return this;\\n }\\n getZ(index) {\\n return this.array[index * this.itemSize + 2];\\n }\\n setZ(index, z) {\\n this.array[index * this.itemSize + 2] = z;\\n return this;\\n }\\n getW(index) {\\n return this.array[index * this.itemSize + 3];\\n }\\n setW(index, w) {\\n this.array[index * this.itemSize + 3] = w;\\n return this;\\n }\\n setXY(index, x, y) {\\n index *= this.itemSize;\\n this.array[index + 0] = x;\\n this.array[index + 1] = y;\\n return this;\\n }\\n setXYZ(index, x, y, z) {\\n index *= this.itemSize;\\n this.array[index + 0] = x;\\n this.array[index + 1] = y;\\n this.array[index + 2] = z;\\n return this;\\n }\\n setXYZW(index, x, y, z, w) {\\n index *= this.itemSize;\\n this.array[index + 0] = x;\\n this.array[index + 1] = y;\\n this.array[index + 2] = z;\\n this.array[index + 3] = w;\\n return this;\\n }\\n onUpload(callback) {\\n this.onUploadCallback = callback;\\n return this;\\n }\\n clone() {\\n return new this.constructor(this.array, this.itemSize).copy(this);\\n }\\n toJSON() {\\n const data = {\\n itemSize: this.itemSize,\\n type: this.array.constructor.name,\\n array: Array.prototype.slice.call(this.array),\\n normalized: this.normalized\\n };\\n if (this.name !== \\\\\\\"\\\\\\\")\\n data.name = this.name;\\n if (this.usage !== StaticDrawUsage)\\n data.usage = this.usage;\\n if (this.updateRange.offset !== 0 || this.updateRange.count !== -1)\\n data.updateRange = this.updateRange;\\n return data;\\n }\\n};\\nBufferAttribute.prototype.isBufferAttribute = true;\\nvar Uint16BufferAttribute = class extends BufferAttribute {\\n constructor(array, itemSize, normalized) {\\n super(new Uint16Array(array), itemSize, normalized);\\n }\\n};\\nvar Int32BufferAttribute = class extends BufferAttribute {\\n constructor(array, itemSize, normalized) {\\n super(new Int32Array(array), itemSize, normalized);\\n }\\n};\\nvar Uint32BufferAttribute = class extends BufferAttribute {\\n constructor(array, itemSize, normalized) {\\n super(new Uint32Array(array), itemSize, normalized);\\n }\\n};\\nvar Float16BufferAttribute = class extends BufferAttribute {\\n constructor(array, itemSize, normalized) {\\n super(new Uint16Array(array), itemSize, normalized);\\n }\\n};\\nFloat16BufferAttribute.prototype.isFloat16BufferAttribute = true;\\nvar Float32BufferAttribute = class extends BufferAttribute {\\n constructor(array, itemSize, normalized) {\\n super(new Float32Array(array), itemSize, normalized);\\n }\\n};\\n\\n// ../../../node_modules/three/src/utils.js\\nfunction arrayMax(array) {\\n if (array.length === 0)\\n return -Infinity;\\n let max = array[0];\\n for (let i = 1, l = array.length; i < l; ++i) {\\n if (array[i] > max)\\n max = array[i];\\n }\\n return max;\\n}\\nvar TYPED_ARRAYS = {\\n Int8Array,\\n Uint8Array,\\n Uint8ClampedArray,\\n Int16Array,\\n Uint16Array,\\n Int32Array,\\n Uint32Array,\\n Float32Array,\\n Float64Array\\n};\\nfunction createElementNS(name) {\\n return document.createElementNS(\\\\\\\"http://www.w3.org/1999/xhtml\\\\\\\", name);\\n}\\n\\n// ../../../node_modules/three/src/core/BufferGeometry.js\\nvar _id = 0;\\nvar _m13 = /* @__PURE__ */ new Matrix4();\\nvar _obj = /* @__PURE__ */ new Object3D();\\nvar _offset = /* @__PURE__ */ new Vector3();\\nvar _box3 = /* @__PURE__ */ new Box3();\\nvar _boxMorphTargets = /* @__PURE__ */ new Box3();\\nvar _vector5 = /* @__PURE__ */ new Vector3();\\nvar BufferGeometry = class extends EventDispatcher {\\n constructor() {\\n super();\\n Object.defineProperty(this, \\\\\\\"id\\\\\\\", {value: _id++});\\n this.uuid = generateUUID();\\n this.name = \\\\\\\"\\\\\\\";\\n this.type = \\\\\\\"BufferGeometry\\\\\\\";\\n this.index = null;\\n this.attributes = {};\\n this.morphAttributes = {};\\n this.morphTargetsRelative = false;\\n this.groups = [];\\n this.boundingBox = null;\\n this.boundingSphere = null;\\n this.drawRange = {start: 0, count: Infinity};\\n this.userData = {};\\n }\\n getIndex() {\\n return this.index;\\n }\\n setIndex(index) {\\n if (Array.isArray(index)) {\\n this.index = new (arrayMax(index) > 65535 ? Uint32BufferAttribute : Uint16BufferAttribute)(index, 1);\\n } else {\\n this.index = index;\\n }\\n return this;\\n }\\n getAttribute(name) {\\n return this.attributes[name];\\n }\\n setAttribute(name, attribute) {\\n this.attributes[name] = attribute;\\n return this;\\n }\\n deleteAttribute(name) {\\n delete this.attributes[name];\\n return this;\\n }\\n hasAttribute(name) {\\n return this.attributes[name] !== void 0;\\n }\\n addGroup(start, count, materialIndex = 0) {\\n this.groups.push({\\n start,\\n count,\\n materialIndex\\n });\\n }\\n clearGroups() {\\n this.groups = [];\\n }\\n setDrawRange(start, count) {\\n this.drawRange.start = start;\\n this.drawRange.count = count;\\n }\\n applyMatrix4(matrix) {\\n const position = this.attributes.position;\\n if (position !== void 0) {\\n position.applyMatrix4(matrix);\\n position.needsUpdate = true;\\n }\\n const normal = this.attributes.normal;\\n if (normal !== void 0) {\\n const normalMatrix = new Matrix3().getNormalMatrix(matrix);\\n normal.applyNormalMatrix(normalMatrix);\\n normal.needsUpdate = true;\\n }\\n const tangent = this.attributes.tangent;\\n if (tangent !== void 0) {\\n tangent.transformDirection(matrix);\\n tangent.needsUpdate = true;\\n }\\n if (this.boundingBox !== null) {\\n this.computeBoundingBox();\\n }\\n if (this.boundingSphere !== null) {\\n this.computeBoundingSphere();\\n }\\n return this;\\n }\\n applyQuaternion(q) {\\n _m13.makeRotationFromQuaternion(q);\\n this.applyMatrix4(_m13);\\n return this;\\n }\\n rotateX(angle) {\\n _m13.makeRotationX(angle);\\n this.applyMatrix4(_m13);\\n return this;\\n }\\n rotateY(angle) {\\n _m13.makeRotationY(angle);\\n this.applyMatrix4(_m13);\\n return this;\\n }\\n rotateZ(angle) {\\n _m13.makeRotationZ(angle);\\n this.applyMatrix4(_m13);\\n return this;\\n }\\n translate(x, y, z) {\\n _m13.makeTranslation(x, y, z);\\n this.applyMatrix4(_m13);\\n return this;\\n }\\n scale(x, y, z) {\\n _m13.makeScale(x, y, z);\\n this.applyMatrix4(_m13);\\n return this;\\n }\\n lookAt(vector) {\\n _obj.lookAt(vector);\\n _obj.updateMatrix();\\n this.applyMatrix4(_obj.matrix);\\n return this;\\n }\\n center() {\\n this.computeBoundingBox();\\n this.boundingBox.getCenter(_offset).negate();\\n this.translate(_offset.x, _offset.y, _offset.z);\\n return this;\\n }\\n setFromPoints(points2) {\\n const position = [];\\n for (let i = 0, l = points2.length; i < l; i++) {\\n const point = points2[i];\\n position.push(point.x, point.y, point.z || 0);\\n }\\n this.setAttribute(\\\\\\\"position\\\\\\\", new Float32BufferAttribute(position, 3));\\n return this;\\n }\\n computeBoundingBox() {\\n if (this.boundingBox === null) {\\n this.boundingBox = new Box3();\\n }\\n const position = this.attributes.position;\\n const morphAttributesPosition = this.morphAttributes.position;\\n if (position && position.isGLBufferAttribute) {\\n console.error('THREE.BufferGeometry.computeBoundingBox(): GLBufferAttribute requires a manual bounding box. Alternatively set \\\\\\\"mesh.frustumCulled\\\\\\\" to \\\\\\\"false\\\\\\\".', this);\\n this.boundingBox.set(new Vector3(-Infinity, -Infinity, -Infinity), new Vector3(Infinity, Infinity, Infinity));\\n return;\\n }\\n if (position !== void 0) {\\n this.boundingBox.setFromBufferAttribute(position);\\n if (morphAttributesPosition) {\\n for (let i = 0, il = morphAttributesPosition.length; i < il; i++) {\\n const morphAttribute = morphAttributesPosition[i];\\n _box3.setFromBufferAttribute(morphAttribute);\\n if (this.morphTargetsRelative) {\\n _vector5.addVectors(this.boundingBox.min, _box3.min);\\n this.boundingBox.expandByPoint(_vector5);\\n _vector5.addVectors(this.boundingBox.max, _box3.max);\\n this.boundingBox.expandByPoint(_vector5);\\n } else {\\n this.boundingBox.expandByPoint(_box3.min);\\n this.boundingBox.expandByPoint(_box3.max);\\n }\\n }\\n }\\n } else {\\n this.boundingBox.makeEmpty();\\n }\\n if (isNaN(this.boundingBox.min.x) || isNaN(this.boundingBox.min.y) || isNaN(this.boundingBox.min.z)) {\\n console.error('THREE.BufferGeometry.computeBoundingBox(): Computed min/max have NaN values. The \\\\\\\"position\\\\\\\" attribute is likely to have NaN values.', this);\\n }\\n }\\n computeBoundingSphere() {\\n if (this.boundingSphere === null) {\\n this.boundingSphere = new Sphere();\\n }\\n const position = this.attributes.position;\\n const morphAttributesPosition = this.morphAttributes.position;\\n if (position && position.isGLBufferAttribute) {\\n console.error('THREE.BufferGeometry.computeBoundingSphere(): GLBufferAttribute requires a manual bounding sphere. Alternatively set \\\\\\\"mesh.frustumCulled\\\\\\\" to \\\\\\\"false\\\\\\\".', this);\\n this.boundingSphere.set(new Vector3(), Infinity);\\n return;\\n }\\n if (position) {\\n const center = this.boundingSphere.center;\\n _box3.setFromBufferAttribute(position);\\n if (morphAttributesPosition) {\\n for (let i = 0, il = morphAttributesPosition.length; i < il; i++) {\\n const morphAttribute = morphAttributesPosition[i];\\n _boxMorphTargets.setFromBufferAttribute(morphAttribute);\\n if (this.morphTargetsRelative) {\\n _vector5.addVectors(_box3.min, _boxMorphTargets.min);\\n _box3.expandByPoint(_vector5);\\n _vector5.addVectors(_box3.max, _boxMorphTargets.max);\\n _box3.expandByPoint(_vector5);\\n } else {\\n _box3.expandByPoint(_boxMorphTargets.min);\\n _box3.expandByPoint(_boxMorphTargets.max);\\n }\\n }\\n }\\n _box3.getCenter(center);\\n let maxRadiusSq = 0;\\n for (let i = 0, il = position.count; i < il; i++) {\\n _vector5.fromBufferAttribute(position, i);\\n maxRadiusSq = Math.max(maxRadiusSq, center.distanceToSquared(_vector5));\\n }\\n if (morphAttributesPosition) {\\n for (let i = 0, il = morphAttributesPosition.length; i < il; i++) {\\n const morphAttribute = morphAttributesPosition[i];\\n const morphTargetsRelative = this.morphTargetsRelative;\\n for (let j = 0, jl = morphAttribute.count; j < jl; j++) {\\n _vector5.fromBufferAttribute(morphAttribute, j);\\n if (morphTargetsRelative) {\\n _offset.fromBufferAttribute(position, j);\\n _vector5.add(_offset);\\n }\\n maxRadiusSq = Math.max(maxRadiusSq, center.distanceToSquared(_vector5));\\n }\\n }\\n }\\n this.boundingSphere.radius = Math.sqrt(maxRadiusSq);\\n if (isNaN(this.boundingSphere.radius)) {\\n console.error('THREE.BufferGeometry.computeBoundingSphere(): Computed radius is NaN. The \\\\\\\"position\\\\\\\" attribute is likely to have NaN values.', this);\\n }\\n }\\n }\\n computeTangents() {\\n const index = this.index;\\n const attributes = this.attributes;\\n if (index === null || attributes.position === void 0 || attributes.normal === void 0 || attributes.uv === void 0) {\\n console.error(\\\\\\\"THREE.BufferGeometry: .computeTangents() failed. Missing required attributes (index, position, normal or uv)\\\\\\\");\\n return;\\n }\\n const indices = index.array;\\n const positions = attributes.position.array;\\n const normals = attributes.normal.array;\\n const uvs = attributes.uv.array;\\n const nVertices = positions.length / 3;\\n if (attributes.tangent === void 0) {\\n this.setAttribute(\\\\\\\"tangent\\\\\\\", new BufferAttribute(new Float32Array(4 * nVertices), 4));\\n }\\n const tangents = attributes.tangent.array;\\n const tan1 = [], tan2 = [];\\n for (let i = 0; i < nVertices; i++) {\\n tan1[i] = new Vector3();\\n tan2[i] = new Vector3();\\n }\\n const vA = new Vector3(), vB = new Vector3(), vC = new Vector3(), uvA = new Vector2(), uvB = new Vector2(), uvC = new Vector2(), sdir = new Vector3(), tdir = new Vector3();\\n function handleTriangle(a, b, c) {\\n vA.fromArray(positions, a * 3);\\n vB.fromArray(positions, b * 3);\\n vC.fromArray(positions, c * 3);\\n uvA.fromArray(uvs, a * 2);\\n uvB.fromArray(uvs, b * 2);\\n uvC.fromArray(uvs, c * 2);\\n vB.sub(vA);\\n vC.sub(vA);\\n uvB.sub(uvA);\\n uvC.sub(uvA);\\n const r = 1 / (uvB.x * uvC.y - uvC.x * uvB.y);\\n if (!isFinite(r))\\n return;\\n sdir.copy(vB).multiplyScalar(uvC.y).addScaledVector(vC, -uvB.y).multiplyScalar(r);\\n tdir.copy(vC).multiplyScalar(uvB.x).addScaledVector(vB, -uvC.x).multiplyScalar(r);\\n tan1[a].add(sdir);\\n tan1[b].add(sdir);\\n tan1[c].add(sdir);\\n tan2[a].add(tdir);\\n tan2[b].add(tdir);\\n tan2[c].add(tdir);\\n }\\n let groups = this.groups;\\n if (groups.length === 0) {\\n groups = [{\\n start: 0,\\n count: indices.length\\n }];\\n }\\n for (let i = 0, il = groups.length; i < il; ++i) {\\n const group = groups[i];\\n const start = group.start;\\n const count = group.count;\\n for (let j = start, jl = start + count; j < jl; j += 3) {\\n handleTriangle(indices[j + 0], indices[j + 1], indices[j + 2]);\\n }\\n }\\n const tmp = new Vector3(), tmp2 = new Vector3();\\n const n = new Vector3(), n2 = new Vector3();\\n function handleVertex(v) {\\n n.fromArray(normals, v * 3);\\n n2.copy(n);\\n const t = tan1[v];\\n tmp.copy(t);\\n tmp.sub(n.multiplyScalar(n.dot(t))).normalize();\\n tmp2.crossVectors(n2, t);\\n const test = tmp2.dot(tan2[v]);\\n const w = test < 0 ? -1 : 1;\\n tangents[v * 4] = tmp.x;\\n tangents[v * 4 + 1] = tmp.y;\\n tangents[v * 4 + 2] = tmp.z;\\n tangents[v * 4 + 3] = w;\\n }\\n for (let i = 0, il = groups.length; i < il; ++i) {\\n const group = groups[i];\\n const start = group.start;\\n const count = group.count;\\n for (let j = start, jl = start + count; j < jl; j += 3) {\\n handleVertex(indices[j + 0]);\\n handleVertex(indices[j + 1]);\\n handleVertex(indices[j + 2]);\\n }\\n }\\n }\\n computeVertexNormals() {\\n const index = this.index;\\n const positionAttribute = this.getAttribute(\\\\\\\"position\\\\\\\");\\n if (positionAttribute !== void 0) {\\n let normalAttribute = this.getAttribute(\\\\\\\"normal\\\\\\\");\\n if (normalAttribute === void 0) {\\n normalAttribute = new BufferAttribute(new Float32Array(positionAttribute.count * 3), 3);\\n this.setAttribute(\\\\\\\"normal\\\\\\\", normalAttribute);\\n } else {\\n for (let i = 0, il = normalAttribute.count; i < il; i++) {\\n normalAttribute.setXYZ(i, 0, 0, 0);\\n }\\n }\\n const pA = new Vector3(), pB = new Vector3(), pC = new Vector3();\\n const nA = new Vector3(), nB = new Vector3(), nC = new Vector3();\\n const cb = new Vector3(), ab = new Vector3();\\n if (index) {\\n for (let i = 0, il = index.count; i < il; i += 3) {\\n const vA = index.getX(i + 0);\\n const vB = index.getX(i + 1);\\n const vC = index.getX(i + 2);\\n pA.fromBufferAttribute(positionAttribute, vA);\\n pB.fromBufferAttribute(positionAttribute, vB);\\n pC.fromBufferAttribute(positionAttribute, vC);\\n cb.subVectors(pC, pB);\\n ab.subVectors(pA, pB);\\n cb.cross(ab);\\n nA.fromBufferAttribute(normalAttribute, vA);\\n nB.fromBufferAttribute(normalAttribute, vB);\\n nC.fromBufferAttribute(normalAttribute, vC);\\n nA.add(cb);\\n nB.add(cb);\\n nC.add(cb);\\n normalAttribute.setXYZ(vA, nA.x, nA.y, nA.z);\\n normalAttribute.setXYZ(vB, nB.x, nB.y, nB.z);\\n normalAttribute.setXYZ(vC, nC.x, nC.y, nC.z);\\n }\\n } else {\\n for (let i = 0, il = positionAttribute.count; i < il; i += 3) {\\n pA.fromBufferAttribute(positionAttribute, i + 0);\\n pB.fromBufferAttribute(positionAttribute, i + 1);\\n pC.fromBufferAttribute(positionAttribute, i + 2);\\n cb.subVectors(pC, pB);\\n ab.subVectors(pA, pB);\\n cb.cross(ab);\\n normalAttribute.setXYZ(i + 0, cb.x, cb.y, cb.z);\\n normalAttribute.setXYZ(i + 1, cb.x, cb.y, cb.z);\\n normalAttribute.setXYZ(i + 2, cb.x, cb.y, cb.z);\\n }\\n }\\n this.normalizeNormals();\\n normalAttribute.needsUpdate = true;\\n }\\n }\\n merge(geometry, offset) {\\n if (!(geometry && geometry.isBufferGeometry)) {\\n console.error(\\\\\\\"THREE.BufferGeometry.merge(): geometry not an instance of THREE.BufferGeometry.\\\\\\\", geometry);\\n return;\\n }\\n if (offset === void 0) {\\n offset = 0;\\n console.warn(\\\\\\\"THREE.BufferGeometry.merge(): Overwriting original geometry, starting at offset=0. Use BufferGeometryUtils.mergeBufferGeometries() for lossless merge.\\\\\\\");\\n }\\n const attributes = this.attributes;\\n for (const key in attributes) {\\n if (geometry.attributes[key] === void 0)\\n continue;\\n const attribute1 = attributes[key];\\n const attributeArray1 = attribute1.array;\\n const attribute2 = geometry.attributes[key];\\n const attributeArray2 = attribute2.array;\\n const attributeOffset = attribute2.itemSize * offset;\\n const length = Math.min(attributeArray2.length, attributeArray1.length - attributeOffset);\\n for (let i = 0, j = attributeOffset; i < length; i++, j++) {\\n attributeArray1[j] = attributeArray2[i];\\n }\\n }\\n return this;\\n }\\n normalizeNormals() {\\n const normals = this.attributes.normal;\\n for (let i = 0, il = normals.count; i < il; i++) {\\n _vector5.fromBufferAttribute(normals, i);\\n _vector5.normalize();\\n normals.setXYZ(i, _vector5.x, _vector5.y, _vector5.z);\\n }\\n }\\n toNonIndexed() {\\n function convertBufferAttribute(attribute, indices2) {\\n const array = attribute.array;\\n const itemSize = attribute.itemSize;\\n const normalized = attribute.normalized;\\n const array2 = new array.constructor(indices2.length * itemSize);\\n let index = 0, index2 = 0;\\n for (let i = 0, l = indices2.length; i < l; i++) {\\n if (attribute.isInterleavedBufferAttribute) {\\n index = indices2[i] * attribute.data.stride + attribute.offset;\\n } else {\\n index = indices2[i] * itemSize;\\n }\\n for (let j = 0; j < itemSize; j++) {\\n array2[index2++] = array[index++];\\n }\\n }\\n return new BufferAttribute(array2, itemSize, normalized);\\n }\\n if (this.index === null) {\\n console.warn(\\\\\\\"THREE.BufferGeometry.toNonIndexed(): BufferGeometry is already non-indexed.\\\\\\\");\\n return this;\\n }\\n const geometry2 = new BufferGeometry();\\n const indices = this.index.array;\\n const attributes = this.attributes;\\n for (const name in attributes) {\\n const attribute = attributes[name];\\n const newAttribute = convertBufferAttribute(attribute, indices);\\n geometry2.setAttribute(name, newAttribute);\\n }\\n const morphAttributes = this.morphAttributes;\\n for (const name in morphAttributes) {\\n const morphArray = [];\\n const morphAttribute = morphAttributes[name];\\n for (let i = 0, il = morphAttribute.length; i < il; i++) {\\n const attribute = morphAttribute[i];\\n const newAttribute = convertBufferAttribute(attribute, indices);\\n morphArray.push(newAttribute);\\n }\\n geometry2.morphAttributes[name] = morphArray;\\n }\\n geometry2.morphTargetsRelative = this.morphTargetsRelative;\\n const groups = this.groups;\\n for (let i = 0, l = groups.length; i < l; i++) {\\n const group = groups[i];\\n geometry2.addGroup(group.start, group.count, group.materialIndex);\\n }\\n return geometry2;\\n }\\n toJSON() {\\n const data = {\\n metadata: {\\n version: 4.5,\\n type: \\\\\\\"BufferGeometry\\\\\\\",\\n generator: \\\\\\\"BufferGeometry.toJSON\\\\\\\"\\n }\\n };\\n data.uuid = this.uuid;\\n data.type = this.type;\\n if (this.name !== \\\\\\\"\\\\\\\")\\n data.name = this.name;\\n if (Object.keys(this.userData).length > 0)\\n data.userData = this.userData;\\n if (this.parameters !== void 0) {\\n const parameters = this.parameters;\\n for (const key in parameters) {\\n if (parameters[key] !== void 0)\\n data[key] = parameters[key];\\n }\\n return data;\\n }\\n data.data = {attributes: {}};\\n const index = this.index;\\n if (index !== null) {\\n data.data.index = {\\n type: index.array.constructor.name,\\n array: Array.prototype.slice.call(index.array)\\n };\\n }\\n const attributes = this.attributes;\\n for (const key in attributes) {\\n const attribute = attributes[key];\\n data.data.attributes[key] = attribute.toJSON(data.data);\\n }\\n const morphAttributes = {};\\n let hasMorphAttributes = false;\\n for (const key in this.morphAttributes) {\\n const attributeArray = this.morphAttributes[key];\\n const array = [];\\n for (let i = 0, il = attributeArray.length; i < il; i++) {\\n const attribute = attributeArray[i];\\n array.push(attribute.toJSON(data.data));\\n }\\n if (array.length > 0) {\\n morphAttributes[key] = array;\\n hasMorphAttributes = true;\\n }\\n }\\n if (hasMorphAttributes) {\\n data.data.morphAttributes = morphAttributes;\\n data.data.morphTargetsRelative = this.morphTargetsRelative;\\n }\\n const groups = this.groups;\\n if (groups.length > 0) {\\n data.data.groups = JSON.parse(JSON.stringify(groups));\\n }\\n const boundingSphere = this.boundingSphere;\\n if (boundingSphere !== null) {\\n data.data.boundingSphere = {\\n center: boundingSphere.center.toArray(),\\n radius: boundingSphere.radius\\n };\\n }\\n return data;\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n copy(source) {\\n this.index = null;\\n this.attributes = {};\\n this.morphAttributes = {};\\n this.groups = [];\\n this.boundingBox = null;\\n this.boundingSphere = null;\\n const data = {};\\n this.name = source.name;\\n const index = source.index;\\n if (index !== null) {\\n this.setIndex(index.clone(data));\\n }\\n const attributes = source.attributes;\\n for (const name in attributes) {\\n const attribute = attributes[name];\\n this.setAttribute(name, attribute.clone(data));\\n }\\n const morphAttributes = source.morphAttributes;\\n for (const name in morphAttributes) {\\n const array = [];\\n const morphAttribute = morphAttributes[name];\\n for (let i = 0, l = morphAttribute.length; i < l; i++) {\\n array.push(morphAttribute[i].clone(data));\\n }\\n this.morphAttributes[name] = array;\\n }\\n this.morphTargetsRelative = source.morphTargetsRelative;\\n const groups = source.groups;\\n for (let i = 0, l = groups.length; i < l; i++) {\\n const group = groups[i];\\n this.addGroup(group.start, group.count, group.materialIndex);\\n }\\n const boundingBox = source.boundingBox;\\n if (boundingBox !== null) {\\n this.boundingBox = boundingBox.clone();\\n }\\n const boundingSphere = source.boundingSphere;\\n if (boundingSphere !== null) {\\n this.boundingSphere = boundingSphere.clone();\\n }\\n this.drawRange.start = source.drawRange.start;\\n this.drawRange.count = source.drawRange.count;\\n this.userData = source.userData;\\n if (source.parameters !== void 0)\\n this.parameters = Object.assign({}, source.parameters);\\n return this;\\n }\\n dispose() {\\n this.dispatchEvent({type: \\\\\\\"dispose\\\\\\\"});\\n }\\n};\\nBufferGeometry.prototype.isBufferGeometry = true;\\n\\n// ../../../node_modules/three/src/geometries/BoxGeometry.js\\nvar BoxGeometry = class extends BufferGeometry {\\n constructor(width = 1, height = 1, depth2 = 1, widthSegments = 1, heightSegments = 1, depthSegments = 1) {\\n super();\\n this.type = \\\\\\\"BoxGeometry\\\\\\\";\\n this.parameters = {\\n width,\\n height,\\n depth: depth2,\\n widthSegments,\\n heightSegments,\\n depthSegments\\n };\\n const scope = this;\\n widthSegments = Math.floor(widthSegments);\\n heightSegments = Math.floor(heightSegments);\\n depthSegments = Math.floor(depthSegments);\\n const indices = [];\\n const vertices = [];\\n const normals = [];\\n const uvs = [];\\n let numberOfVertices = 0;\\n let groupStart = 0;\\n buildPlane(\\\\\\\"z\\\\\\\", \\\\\\\"y\\\\\\\", \\\\\\\"x\\\\\\\", -1, -1, depth2, height, width, depthSegments, heightSegments, 0);\\n buildPlane(\\\\\\\"z\\\\\\\", \\\\\\\"y\\\\\\\", \\\\\\\"x\\\\\\\", 1, -1, depth2, height, -width, depthSegments, heightSegments, 1);\\n buildPlane(\\\\\\\"x\\\\\\\", \\\\\\\"z\\\\\\\", \\\\\\\"y\\\\\\\", 1, 1, width, depth2, height, widthSegments, depthSegments, 2);\\n buildPlane(\\\\\\\"x\\\\\\\", \\\\\\\"z\\\\\\\", \\\\\\\"y\\\\\\\", 1, -1, width, depth2, -height, widthSegments, depthSegments, 3);\\n buildPlane(\\\\\\\"x\\\\\\\", \\\\\\\"y\\\\\\\", \\\\\\\"z\\\\\\\", 1, -1, width, height, depth2, widthSegments, heightSegments, 4);\\n buildPlane(\\\\\\\"x\\\\\\\", \\\\\\\"y\\\\\\\", \\\\\\\"z\\\\\\\", -1, -1, width, height, -depth2, widthSegments, heightSegments, 5);\\n this.setIndex(indices);\\n this.setAttribute(\\\\\\\"position\\\\\\\", new Float32BufferAttribute(vertices, 3));\\n this.setAttribute(\\\\\\\"normal\\\\\\\", new Float32BufferAttribute(normals, 3));\\n this.setAttribute(\\\\\\\"uv\\\\\\\", new Float32BufferAttribute(uvs, 2));\\n function buildPlane(u, v, w, udir, vdir, width2, height2, depth3, gridX, gridY, materialIndex) {\\n const segmentWidth = width2 / gridX;\\n const segmentHeight = height2 / gridY;\\n const widthHalf = width2 / 2;\\n const heightHalf = height2 / 2;\\n const depthHalf = depth3 / 2;\\n const gridX1 = gridX + 1;\\n const gridY1 = gridY + 1;\\n let vertexCounter = 0;\\n let groupCount = 0;\\n const vector = new Vector3();\\n for (let iy = 0; iy < gridY1; iy++) {\\n const y = iy * segmentHeight - heightHalf;\\n for (let ix = 0; ix < gridX1; ix++) {\\n const x = ix * segmentWidth - widthHalf;\\n vector[u] = x * udir;\\n vector[v] = y * vdir;\\n vector[w] = depthHalf;\\n vertices.push(vector.x, vector.y, vector.z);\\n vector[u] = 0;\\n vector[v] = 0;\\n vector[w] = depth3 > 0 ? 1 : -1;\\n normals.push(vector.x, vector.y, vector.z);\\n uvs.push(ix / gridX);\\n uvs.push(1 - iy / gridY);\\n vertexCounter += 1;\\n }\\n }\\n for (let iy = 0; iy < gridY; iy++) {\\n for (let ix = 0; ix < gridX; ix++) {\\n const a = numberOfVertices + ix + gridX1 * iy;\\n const b = numberOfVertices + ix + gridX1 * (iy + 1);\\n const c = numberOfVertices + (ix + 1) + gridX1 * (iy + 1);\\n const d = numberOfVertices + (ix + 1) + gridX1 * iy;\\n indices.push(a, b, d);\\n indices.push(b, c, d);\\n groupCount += 6;\\n }\\n }\\n scope.addGroup(groupStart, groupCount, materialIndex);\\n groupStart += groupCount;\\n numberOfVertices += vertexCounter;\\n }\\n }\\n static fromJSON(data) {\\n return new BoxGeometry(data.width, data.height, data.depth, data.widthSegments, data.heightSegments, data.depthSegments);\\n }\\n};\\n\\n// ../../../node_modules/three/src/geometries/PlaneGeometry.js\\nvar PlaneGeometry = class extends BufferGeometry {\\n constructor(width = 1, height = 1, widthSegments = 1, heightSegments = 1) {\\n super();\\n this.type = \\\\\\\"PlaneGeometry\\\\\\\";\\n this.parameters = {\\n width,\\n height,\\n widthSegments,\\n heightSegments\\n };\\n const width_half = width / 2;\\n const height_half = height / 2;\\n const gridX = Math.floor(widthSegments);\\n const gridY = Math.floor(heightSegments);\\n const gridX1 = gridX + 1;\\n const gridY1 = gridY + 1;\\n const segment_width = width / gridX;\\n const segment_height = height / gridY;\\n const indices = [];\\n const vertices = [];\\n const normals = [];\\n const uvs = [];\\n for (let iy = 0; iy < gridY1; iy++) {\\n const y = iy * segment_height - height_half;\\n for (let ix = 0; ix < gridX1; ix++) {\\n const x = ix * segment_width - width_half;\\n vertices.push(x, -y, 0);\\n normals.push(0, 0, 1);\\n uvs.push(ix / gridX);\\n uvs.push(1 - iy / gridY);\\n }\\n }\\n for (let iy = 0; iy < gridY; iy++) {\\n for (let ix = 0; ix < gridX; ix++) {\\n const a = ix + gridX1 * iy;\\n const b = ix + gridX1 * (iy + 1);\\n const c = ix + 1 + gridX1 * (iy + 1);\\n const d = ix + 1 + gridX1 * iy;\\n indices.push(a, b, d);\\n indices.push(b, c, d);\\n }\\n }\\n this.setIndex(indices);\\n this.setAttribute(\\\\\\\"position\\\\\\\", new Float32BufferAttribute(vertices, 3));\\n this.setAttribute(\\\\\\\"normal\\\\\\\", new Float32BufferAttribute(normals, 3));\\n this.setAttribute(\\\\\\\"uv\\\\\\\", new Float32BufferAttribute(uvs, 2));\\n }\\n static fromJSON(data) {\\n return new PlaneGeometry(data.width, data.height, data.widthSegments, data.heightSegments);\\n }\\n};\\n\\n// ../../../node_modules/three/src/materials/Material.js\\nvar materialId = 0;\\nvar Material = class extends EventDispatcher {\\n constructor() {\\n super();\\n Object.defineProperty(this, \\\\\\\"id\\\\\\\", {value: materialId++});\\n this.uuid = generateUUID();\\n this.name = \\\\\\\"\\\\\\\";\\n this.type = \\\\\\\"Material\\\\\\\";\\n this.fog = true;\\n this.blending = NormalBlending;\\n this.side = FrontSide;\\n this.vertexColors = false;\\n this.opacity = 1;\\n this.format = RGBAFormat;\\n this.transparent = false;\\n this.blendSrc = SrcAlphaFactor;\\n this.blendDst = OneMinusSrcAlphaFactor;\\n this.blendEquation = AddEquation;\\n this.blendSrcAlpha = null;\\n this.blendDstAlpha = null;\\n this.blendEquationAlpha = null;\\n this.depthFunc = LessEqualDepth;\\n this.depthTest = true;\\n this.depthWrite = true;\\n this.stencilWriteMask = 255;\\n this.stencilFunc = AlwaysStencilFunc;\\n this.stencilRef = 0;\\n this.stencilFuncMask = 255;\\n this.stencilFail = KeepStencilOp;\\n this.stencilZFail = KeepStencilOp;\\n this.stencilZPass = KeepStencilOp;\\n this.stencilWrite = false;\\n this.clippingPlanes = null;\\n this.clipIntersection = false;\\n this.clipShadows = false;\\n this.shadowSide = null;\\n this.colorWrite = true;\\n this.precision = null;\\n this.polygonOffset = false;\\n this.polygonOffsetFactor = 0;\\n this.polygonOffsetUnits = 0;\\n this.dithering = false;\\n this.alphaToCoverage = false;\\n this.premultipliedAlpha = false;\\n this.visible = true;\\n this.toneMapped = true;\\n this.userData = {};\\n this.version = 0;\\n this._alphaTest = 0;\\n }\\n get alphaTest() {\\n return this._alphaTest;\\n }\\n set alphaTest(value) {\\n if (this._alphaTest > 0 !== value > 0) {\\n this.version++;\\n }\\n this._alphaTest = value;\\n }\\n onBuild() {\\n }\\n onBeforeRender() {\\n }\\n onBeforeCompile() {\\n }\\n customProgramCacheKey() {\\n return this.onBeforeCompile.toString();\\n }\\n setValues(values) {\\n if (values === void 0)\\n return;\\n for (const key in values) {\\n const newValue = values[key];\\n if (newValue === void 0) {\\n console.warn(\\\\\\\"THREE.Material: '\\\\\\\" + key + \\\\\\\"' parameter is undefined.\\\\\\\");\\n continue;\\n }\\n if (key === \\\\\\\"shading\\\\\\\") {\\n console.warn(\\\\\\\"THREE.\\\\\\\" + this.type + \\\\\\\": .shading has been removed. Use the boolean .flatShading instead.\\\\\\\");\\n this.flatShading = newValue === FlatShading ? true : false;\\n continue;\\n }\\n const currentValue = this[key];\\n if (currentValue === void 0) {\\n console.warn(\\\\\\\"THREE.\\\\\\\" + this.type + \\\\\\\": '\\\\\\\" + key + \\\\\\\"' is not a property of this material.\\\\\\\");\\n continue;\\n }\\n if (currentValue && currentValue.isColor) {\\n currentValue.set(newValue);\\n } else if (currentValue && currentValue.isVector3 && (newValue && newValue.isVector3)) {\\n currentValue.copy(newValue);\\n } else {\\n this[key] = newValue;\\n }\\n }\\n }\\n toJSON(meta) {\\n const isRoot = meta === void 0 || typeof meta === \\\\\\\"string\\\\\\\";\\n if (isRoot) {\\n meta = {\\n textures: {},\\n images: {}\\n };\\n }\\n const data = {\\n metadata: {\\n version: 4.5,\\n type: \\\\\\\"Material\\\\\\\",\\n generator: \\\\\\\"Material.toJSON\\\\\\\"\\n }\\n };\\n data.uuid = this.uuid;\\n data.type = this.type;\\n if (this.name !== \\\\\\\"\\\\\\\")\\n data.name = this.name;\\n if (this.color && this.color.isColor)\\n data.color = this.color.getHex();\\n if (this.roughness !== void 0)\\n data.roughness = this.roughness;\\n if (this.metalness !== void 0)\\n data.metalness = this.metalness;\\n if (this.sheen !== void 0)\\n data.sheen = this.sheen;\\n if (this.sheenTint && this.sheenTint.isColor)\\n data.sheenTint = this.sheenTint.getHex();\\n if (this.sheenRoughness !== void 0)\\n data.sheenRoughness = this.sheenRoughness;\\n if (this.emissive && this.emissive.isColor)\\n data.emissive = this.emissive.getHex();\\n if (this.emissiveIntensity && this.emissiveIntensity !== 1)\\n data.emissiveIntensity = this.emissiveIntensity;\\n if (this.specular && this.specular.isColor)\\n data.specular = this.specular.getHex();\\n if (this.specularIntensity !== void 0)\\n data.specularIntensity = this.specularIntensity;\\n if (this.specularTint && this.specularTint.isColor)\\n data.specularTint = this.specularTint.getHex();\\n if (this.shininess !== void 0)\\n data.shininess = this.shininess;\\n if (this.clearcoat !== void 0)\\n data.clearcoat = this.clearcoat;\\n if (this.clearcoatRoughness !== void 0)\\n data.clearcoatRoughness = this.clearcoatRoughness;\\n if (this.clearcoatMap && this.clearcoatMap.isTexture) {\\n data.clearcoatMap = this.clearcoatMap.toJSON(meta).uuid;\\n }\\n if (this.clearcoatRoughnessMap && this.clearcoatRoughnessMap.isTexture) {\\n data.clearcoatRoughnessMap = this.clearcoatRoughnessMap.toJSON(meta).uuid;\\n }\\n if (this.clearcoatNormalMap && this.clearcoatNormalMap.isTexture) {\\n data.clearcoatNormalMap = this.clearcoatNormalMap.toJSON(meta).uuid;\\n data.clearcoatNormalScale = this.clearcoatNormalScale.toArray();\\n }\\n if (this.map && this.map.isTexture)\\n data.map = this.map.toJSON(meta).uuid;\\n if (this.matcap && this.matcap.isTexture)\\n data.matcap = this.matcap.toJSON(meta).uuid;\\n if (this.alphaMap && this.alphaMap.isTexture)\\n data.alphaMap = this.alphaMap.toJSON(meta).uuid;\\n if (this.lightMap && this.lightMap.isTexture) {\\n data.lightMap = this.lightMap.toJSON(meta).uuid;\\n data.lightMapIntensity = this.lightMapIntensity;\\n }\\n if (this.aoMap && this.aoMap.isTexture) {\\n data.aoMap = this.aoMap.toJSON(meta).uuid;\\n data.aoMapIntensity = this.aoMapIntensity;\\n }\\n if (this.bumpMap && this.bumpMap.isTexture) {\\n data.bumpMap = this.bumpMap.toJSON(meta).uuid;\\n data.bumpScale = this.bumpScale;\\n }\\n if (this.normalMap && this.normalMap.isTexture) {\\n data.normalMap = this.normalMap.toJSON(meta).uuid;\\n data.normalMapType = this.normalMapType;\\n data.normalScale = this.normalScale.toArray();\\n }\\n if (this.displacementMap && this.displacementMap.isTexture) {\\n data.displacementMap = this.displacementMap.toJSON(meta).uuid;\\n data.displacementScale = this.displacementScale;\\n data.displacementBias = this.displacementBias;\\n }\\n if (this.roughnessMap && this.roughnessMap.isTexture)\\n data.roughnessMap = this.roughnessMap.toJSON(meta).uuid;\\n if (this.metalnessMap && this.metalnessMap.isTexture)\\n data.metalnessMap = this.metalnessMap.toJSON(meta).uuid;\\n if (this.emissiveMap && this.emissiveMap.isTexture)\\n data.emissiveMap = this.emissiveMap.toJSON(meta).uuid;\\n if (this.specularMap && this.specularMap.isTexture)\\n data.specularMap = this.specularMap.toJSON(meta).uuid;\\n if (this.specularIntensityMap && this.specularIntensityMap.isTexture)\\n data.specularIntensityMap = this.specularIntensityMap.toJSON(meta).uuid;\\n if (this.specularTintMap && this.specularTintMap.isTexture)\\n data.specularTintMap = this.specularTintMap.toJSON(meta).uuid;\\n if (this.envMap && this.envMap.isTexture) {\\n data.envMap = this.envMap.toJSON(meta).uuid;\\n if (this.combine !== void 0)\\n data.combine = this.combine;\\n }\\n if (this.envMapIntensity !== void 0)\\n data.envMapIntensity = this.envMapIntensity;\\n if (this.reflectivity !== void 0)\\n data.reflectivity = this.reflectivity;\\n if (this.refractionRatio !== void 0)\\n data.refractionRatio = this.refractionRatio;\\n if (this.gradientMap && this.gradientMap.isTexture) {\\n data.gradientMap = this.gradientMap.toJSON(meta).uuid;\\n }\\n if (this.transmission !== void 0)\\n data.transmission = this.transmission;\\n if (this.transmissionMap && this.transmissionMap.isTexture)\\n data.transmissionMap = this.transmissionMap.toJSON(meta).uuid;\\n if (this.thickness !== void 0)\\n data.thickness = this.thickness;\\n if (this.thicknessMap && this.thicknessMap.isTexture)\\n data.thicknessMap = this.thicknessMap.toJSON(meta).uuid;\\n if (this.attenuationDistance !== void 0)\\n data.attenuationDistance = this.attenuationDistance;\\n if (this.attenuationTint !== void 0)\\n data.attenuationTint = this.attenuationTint.getHex();\\n if (this.size !== void 0)\\n data.size = this.size;\\n if (this.shadowSide !== null)\\n data.shadowSide = this.shadowSide;\\n if (this.sizeAttenuation !== void 0)\\n data.sizeAttenuation = this.sizeAttenuation;\\n if (this.blending !== NormalBlending)\\n data.blending = this.blending;\\n if (this.side !== FrontSide)\\n data.side = this.side;\\n if (this.vertexColors)\\n data.vertexColors = true;\\n if (this.opacity < 1)\\n data.opacity = this.opacity;\\n if (this.format !== RGBAFormat)\\n data.format = this.format;\\n if (this.transparent === true)\\n data.transparent = this.transparent;\\n data.depthFunc = this.depthFunc;\\n data.depthTest = this.depthTest;\\n data.depthWrite = this.depthWrite;\\n data.colorWrite = this.colorWrite;\\n data.stencilWrite = this.stencilWrite;\\n data.stencilWriteMask = this.stencilWriteMask;\\n data.stencilFunc = this.stencilFunc;\\n data.stencilRef = this.stencilRef;\\n data.stencilFuncMask = this.stencilFuncMask;\\n data.stencilFail = this.stencilFail;\\n data.stencilZFail = this.stencilZFail;\\n data.stencilZPass = this.stencilZPass;\\n if (this.rotation && this.rotation !== 0)\\n data.rotation = this.rotation;\\n if (this.polygonOffset === true)\\n data.polygonOffset = true;\\n if (this.polygonOffsetFactor !== 0)\\n data.polygonOffsetFactor = this.polygonOffsetFactor;\\n if (this.polygonOffsetUnits !== 0)\\n data.polygonOffsetUnits = this.polygonOffsetUnits;\\n if (this.linewidth && this.linewidth !== 1)\\n data.linewidth = this.linewidth;\\n if (this.dashSize !== void 0)\\n data.dashSize = this.dashSize;\\n if (this.gapSize !== void 0)\\n data.gapSize = this.gapSize;\\n if (this.scale !== void 0)\\n data.scale = this.scale;\\n if (this.dithering === true)\\n data.dithering = true;\\n if (this.alphaTest > 0)\\n data.alphaTest = this.alphaTest;\\n if (this.alphaToCoverage === true)\\n data.alphaToCoverage = this.alphaToCoverage;\\n if (this.premultipliedAlpha === true)\\n data.premultipliedAlpha = this.premultipliedAlpha;\\n if (this.wireframe === true)\\n data.wireframe = this.wireframe;\\n if (this.wireframeLinewidth > 1)\\n data.wireframeLinewidth = this.wireframeLinewidth;\\n if (this.wireframeLinecap !== \\\\\\\"round\\\\\\\")\\n data.wireframeLinecap = this.wireframeLinecap;\\n if (this.wireframeLinejoin !== \\\\\\\"round\\\\\\\")\\n data.wireframeLinejoin = this.wireframeLinejoin;\\n if (this.flatShading === true)\\n data.flatShading = this.flatShading;\\n if (this.visible === false)\\n data.visible = false;\\n if (this.toneMapped === false)\\n data.toneMapped = false;\\n if (JSON.stringify(this.userData) !== \\\\\\\"{}\\\\\\\")\\n data.userData = this.userData;\\n function extractFromCache(cache) {\\n const values = [];\\n for (const key in cache) {\\n const data2 = cache[key];\\n delete data2.metadata;\\n values.push(data2);\\n }\\n return values;\\n }\\n if (isRoot) {\\n const textures = extractFromCache(meta.textures);\\n const images = extractFromCache(meta.images);\\n if (textures.length > 0)\\n data.textures = textures;\\n if (images.length > 0)\\n data.images = images;\\n }\\n return data;\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n copy(source) {\\n this.name = source.name;\\n this.fog = source.fog;\\n this.blending = source.blending;\\n this.side = source.side;\\n this.vertexColors = source.vertexColors;\\n this.opacity = source.opacity;\\n this.format = source.format;\\n this.transparent = source.transparent;\\n this.blendSrc = source.blendSrc;\\n this.blendDst = source.blendDst;\\n this.blendEquation = source.blendEquation;\\n this.blendSrcAlpha = source.blendSrcAlpha;\\n this.blendDstAlpha = source.blendDstAlpha;\\n this.blendEquationAlpha = source.blendEquationAlpha;\\n this.depthFunc = source.depthFunc;\\n this.depthTest = source.depthTest;\\n this.depthWrite = source.depthWrite;\\n this.stencilWriteMask = source.stencilWriteMask;\\n this.stencilFunc = source.stencilFunc;\\n this.stencilRef = source.stencilRef;\\n this.stencilFuncMask = source.stencilFuncMask;\\n this.stencilFail = source.stencilFail;\\n this.stencilZFail = source.stencilZFail;\\n this.stencilZPass = source.stencilZPass;\\n this.stencilWrite = source.stencilWrite;\\n const srcPlanes = source.clippingPlanes;\\n let dstPlanes = null;\\n if (srcPlanes !== null) {\\n const n = srcPlanes.length;\\n dstPlanes = new Array(n);\\n for (let i = 0; i !== n; ++i) {\\n dstPlanes[i] = srcPlanes[i].clone();\\n }\\n }\\n this.clippingPlanes = dstPlanes;\\n this.clipIntersection = source.clipIntersection;\\n this.clipShadows = source.clipShadows;\\n this.shadowSide = source.shadowSide;\\n this.colorWrite = source.colorWrite;\\n this.precision = source.precision;\\n this.polygonOffset = source.polygonOffset;\\n this.polygonOffsetFactor = source.polygonOffsetFactor;\\n this.polygonOffsetUnits = source.polygonOffsetUnits;\\n this.dithering = source.dithering;\\n this.alphaTest = source.alphaTest;\\n this.alphaToCoverage = source.alphaToCoverage;\\n this.premultipliedAlpha = source.premultipliedAlpha;\\n this.visible = source.visible;\\n this.toneMapped = source.toneMapped;\\n this.userData = JSON.parse(JSON.stringify(source.userData));\\n return this;\\n }\\n dispose() {\\n this.dispatchEvent({type: \\\\\\\"dispose\\\\\\\"});\\n }\\n set needsUpdate(value) {\\n if (value === true)\\n this.version++;\\n }\\n};\\nMaterial.prototype.isMaterial = true;\\n\\n// ../../../node_modules/three/src/renderers/shaders/UniformsUtils.js\\nfunction cloneUniforms(src) {\\n const dst = {};\\n for (const u in src) {\\n dst[u] = {};\\n for (const p in src[u]) {\\n const property = src[u][p];\\n if (property && (property.isColor || property.isMatrix3 || property.isMatrix4 || property.isVector2 || property.isVector3 || property.isVector4 || property.isTexture || property.isQuaternion)) {\\n dst[u][p] = property.clone();\\n } else if (Array.isArray(property)) {\\n dst[u][p] = property.slice();\\n } else {\\n dst[u][p] = property;\\n }\\n }\\n }\\n return dst;\\n}\\nfunction mergeUniforms(uniforms) {\\n const merged = {};\\n for (let u = 0; u < uniforms.length; u++) {\\n const tmp = cloneUniforms(uniforms[u]);\\n for (const p in tmp) {\\n merged[p] = tmp[p];\\n }\\n }\\n return merged;\\n}\\nvar UniformsUtils = {clone: cloneUniforms, merge: mergeUniforms};\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/default_vertex.glsl.js\\nvar default_vertex_glsl_default = `\\nvoid main() {\\n\\tgl_Position = projectionMatrix * modelViewMatrix * vec4( position, 1.0 );\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/default_fragment.glsl.js\\nvar default_fragment_glsl_default = `\\nvoid main() {\\n\\tgl_FragColor = vec4( 1.0, 0.0, 0.0, 1.0 );\\n}\\n`;\\n\\n// ../../../node_modules/three/src/materials/ShaderMaterial.js\\nvar ShaderMaterial = class extends Material {\\n constructor(parameters) {\\n super();\\n this.type = \\\\\\\"ShaderMaterial\\\\\\\";\\n this.defines = {};\\n this.uniforms = {};\\n this.vertexShader = default_vertex_glsl_default;\\n this.fragmentShader = default_fragment_glsl_default;\\n this.linewidth = 1;\\n this.wireframe = false;\\n this.wireframeLinewidth = 1;\\n this.fog = false;\\n this.lights = false;\\n this.clipping = false;\\n this.extensions = {\\n derivatives: false,\\n fragDepth: false,\\n drawBuffers: false,\\n shaderTextureLOD: false\\n };\\n this.defaultAttributeValues = {\\n color: [1, 1, 1],\\n uv: [0, 0],\\n uv2: [0, 0]\\n };\\n this.index0AttributeName = void 0;\\n this.uniformsNeedUpdate = false;\\n this.glslVersion = null;\\n if (parameters !== void 0) {\\n if (parameters.attributes !== void 0) {\\n console.error(\\\\\\\"THREE.ShaderMaterial: attributes should now be defined in THREE.BufferGeometry instead.\\\\\\\");\\n }\\n this.setValues(parameters);\\n }\\n }\\n copy(source) {\\n super.copy(source);\\n this.fragmentShader = source.fragmentShader;\\n this.vertexShader = source.vertexShader;\\n this.uniforms = cloneUniforms(source.uniforms);\\n this.defines = Object.assign({}, source.defines);\\n this.wireframe = source.wireframe;\\n this.wireframeLinewidth = source.wireframeLinewidth;\\n this.lights = source.lights;\\n this.clipping = source.clipping;\\n this.extensions = Object.assign({}, source.extensions);\\n this.glslVersion = source.glslVersion;\\n return this;\\n }\\n toJSON(meta) {\\n const data = super.toJSON(meta);\\n data.glslVersion = this.glslVersion;\\n data.uniforms = {};\\n for (const name in this.uniforms) {\\n const uniform = this.uniforms[name];\\n const value = uniform.value;\\n if (value && value.isTexture) {\\n data.uniforms[name] = {\\n type: \\\\\\\"t\\\\\\\",\\n value: value.toJSON(meta).uuid\\n };\\n } else if (value && value.isColor) {\\n data.uniforms[name] = {\\n type: \\\\\\\"c\\\\\\\",\\n value: value.getHex()\\n };\\n } else if (value && value.isVector2) {\\n data.uniforms[name] = {\\n type: \\\\\\\"v2\\\\\\\",\\n value: value.toArray()\\n };\\n } else if (value && value.isVector3) {\\n data.uniforms[name] = {\\n type: \\\\\\\"v3\\\\\\\",\\n value: value.toArray()\\n };\\n } else if (value && value.isVector4) {\\n data.uniforms[name] = {\\n type: \\\\\\\"v4\\\\\\\",\\n value: value.toArray()\\n };\\n } else if (value && value.isMatrix3) {\\n data.uniforms[name] = {\\n type: \\\\\\\"m3\\\\\\\",\\n value: value.toArray()\\n };\\n } else if (value && value.isMatrix4) {\\n data.uniforms[name] = {\\n type: \\\\\\\"m4\\\\\\\",\\n value: value.toArray()\\n };\\n } else {\\n data.uniforms[name] = {\\n value\\n };\\n }\\n }\\n if (Object.keys(this.defines).length > 0)\\n data.defines = this.defines;\\n data.vertexShader = this.vertexShader;\\n data.fragmentShader = this.fragmentShader;\\n const extensions = {};\\n for (const key in this.extensions) {\\n if (this.extensions[key] === true)\\n extensions[key] = true;\\n }\\n if (Object.keys(extensions).length > 0)\\n data.extensions = extensions;\\n return data;\\n }\\n};\\nShaderMaterial.prototype.isShaderMaterial = true;\\n\\n// ../../../node_modules/three/src/math/Ray.js\\nvar _vector6 = /* @__PURE__ */ new Vector3();\\nvar _segCenter = /* @__PURE__ */ new Vector3();\\nvar _segDir = /* @__PURE__ */ new Vector3();\\nvar _diff = /* @__PURE__ */ new Vector3();\\nvar _edge1 = /* @__PURE__ */ new Vector3();\\nvar _edge2 = /* @__PURE__ */ new Vector3();\\nvar _normal = /* @__PURE__ */ new Vector3();\\nvar Ray = class {\\n constructor(origin = new Vector3(), direction = new Vector3(0, 0, -1)) {\\n this.origin = origin;\\n this.direction = direction;\\n }\\n set(origin, direction) {\\n this.origin.copy(origin);\\n this.direction.copy(direction);\\n return this;\\n }\\n copy(ray) {\\n this.origin.copy(ray.origin);\\n this.direction.copy(ray.direction);\\n return this;\\n }\\n at(t, target) {\\n return target.copy(this.direction).multiplyScalar(t).add(this.origin);\\n }\\n lookAt(v) {\\n this.direction.copy(v).sub(this.origin).normalize();\\n return this;\\n }\\n recast(t) {\\n this.origin.copy(this.at(t, _vector6));\\n return this;\\n }\\n closestPointToPoint(point, target) {\\n target.subVectors(point, this.origin);\\n const directionDistance = target.dot(this.direction);\\n if (directionDistance < 0) {\\n return target.copy(this.origin);\\n }\\n return target.copy(this.direction).multiplyScalar(directionDistance).add(this.origin);\\n }\\n distanceToPoint(point) {\\n return Math.sqrt(this.distanceSqToPoint(point));\\n }\\n distanceSqToPoint(point) {\\n const directionDistance = _vector6.subVectors(point, this.origin).dot(this.direction);\\n if (directionDistance < 0) {\\n return this.origin.distanceToSquared(point);\\n }\\n _vector6.copy(this.direction).multiplyScalar(directionDistance).add(this.origin);\\n return _vector6.distanceToSquared(point);\\n }\\n distanceSqToSegment(v0, v1, optionalPointOnRay, optionalPointOnSegment) {\\n _segCenter.copy(v0).add(v1).multiplyScalar(0.5);\\n _segDir.copy(v1).sub(v0).normalize();\\n _diff.copy(this.origin).sub(_segCenter);\\n const segExtent = v0.distanceTo(v1) * 0.5;\\n const a01 = -this.direction.dot(_segDir);\\n const b0 = _diff.dot(this.direction);\\n const b1 = -_diff.dot(_segDir);\\n const c = _diff.lengthSq();\\n const det = Math.abs(1 - a01 * a01);\\n let s0, s1, sqrDist, extDet;\\n if (det > 0) {\\n s0 = a01 * b1 - b0;\\n s1 = a01 * b0 - b1;\\n extDet = segExtent * det;\\n if (s0 >= 0) {\\n if (s1 >= -extDet) {\\n if (s1 <= extDet) {\\n const invDet = 1 / det;\\n s0 *= invDet;\\n s1 *= invDet;\\n sqrDist = s0 * (s0 + a01 * s1 + 2 * b0) + s1 * (a01 * s0 + s1 + 2 * b1) + c;\\n } else {\\n s1 = segExtent;\\n s0 = Math.max(0, -(a01 * s1 + b0));\\n sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;\\n }\\n } else {\\n s1 = -segExtent;\\n s0 = Math.max(0, -(a01 * s1 + b0));\\n sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;\\n }\\n } else {\\n if (s1 <= -extDet) {\\n s0 = Math.max(0, -(-a01 * segExtent + b0));\\n s1 = s0 > 0 ? -segExtent : Math.min(Math.max(-segExtent, -b1), segExtent);\\n sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;\\n } else if (s1 <= extDet) {\\n s0 = 0;\\n s1 = Math.min(Math.max(-segExtent, -b1), segExtent);\\n sqrDist = s1 * (s1 + 2 * b1) + c;\\n } else {\\n s0 = Math.max(0, -(a01 * segExtent + b0));\\n s1 = s0 > 0 ? segExtent : Math.min(Math.max(-segExtent, -b1), segExtent);\\n sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;\\n }\\n }\\n } else {\\n s1 = a01 > 0 ? -segExtent : segExtent;\\n s0 = Math.max(0, -(a01 * s1 + b0));\\n sqrDist = -s0 * s0 + s1 * (s1 + 2 * b1) + c;\\n }\\n if (optionalPointOnRay) {\\n optionalPointOnRay.copy(this.direction).multiplyScalar(s0).add(this.origin);\\n }\\n if (optionalPointOnSegment) {\\n optionalPointOnSegment.copy(_segDir).multiplyScalar(s1).add(_segCenter);\\n }\\n return sqrDist;\\n }\\n intersectSphere(sphere, target) {\\n _vector6.subVectors(sphere.center, this.origin);\\n const tca = _vector6.dot(this.direction);\\n const d2 = _vector6.dot(_vector6) - tca * tca;\\n const radius2 = sphere.radius * sphere.radius;\\n if (d2 > radius2)\\n return null;\\n const thc = Math.sqrt(radius2 - d2);\\n const t0 = tca - thc;\\n const t1 = tca + thc;\\n if (t0 < 0 && t1 < 0)\\n return null;\\n if (t0 < 0)\\n return this.at(t1, target);\\n return this.at(t0, target);\\n }\\n intersectsSphere(sphere) {\\n return this.distanceSqToPoint(sphere.center) <= sphere.radius * sphere.radius;\\n }\\n distanceToPlane(plane) {\\n const denominator = plane.normal.dot(this.direction);\\n if (denominator === 0) {\\n if (plane.distanceToPoint(this.origin) === 0) {\\n return 0;\\n }\\n return null;\\n }\\n const t = -(this.origin.dot(plane.normal) + plane.constant) / denominator;\\n return t >= 0 ? t : null;\\n }\\n intersectPlane(plane, target) {\\n const t = this.distanceToPlane(plane);\\n if (t === null) {\\n return null;\\n }\\n return this.at(t, target);\\n }\\n intersectsPlane(plane) {\\n const distToPoint = plane.distanceToPoint(this.origin);\\n if (distToPoint === 0) {\\n return true;\\n }\\n const denominator = plane.normal.dot(this.direction);\\n if (denominator * distToPoint < 0) {\\n return true;\\n }\\n return false;\\n }\\n intersectBox(box, target) {\\n let tmin, tmax, tymin, tymax, tzmin, tzmax;\\n const invdirx = 1 / this.direction.x, invdiry = 1 / this.direction.y, invdirz = 1 / this.direction.z;\\n const origin = this.origin;\\n if (invdirx >= 0) {\\n tmin = (box.min.x - origin.x) * invdirx;\\n tmax = (box.max.x - origin.x) * invdirx;\\n } else {\\n tmin = (box.max.x - origin.x) * invdirx;\\n tmax = (box.min.x - origin.x) * invdirx;\\n }\\n if (invdiry >= 0) {\\n tymin = (box.min.y - origin.y) * invdiry;\\n tymax = (box.max.y - origin.y) * invdiry;\\n } else {\\n tymin = (box.max.y - origin.y) * invdiry;\\n tymax = (box.min.y - origin.y) * invdiry;\\n }\\n if (tmin > tymax || tymin > tmax)\\n return null;\\n if (tymin > tmin || tmin !== tmin)\\n tmin = tymin;\\n if (tymax < tmax || tmax !== tmax)\\n tmax = tymax;\\n if (invdirz >= 0) {\\n tzmin = (box.min.z - origin.z) * invdirz;\\n tzmax = (box.max.z - origin.z) * invdirz;\\n } else {\\n tzmin = (box.max.z - origin.z) * invdirz;\\n tzmax = (box.min.z - origin.z) * invdirz;\\n }\\n if (tmin > tzmax || tzmin > tmax)\\n return null;\\n if (tzmin > tmin || tmin !== tmin)\\n tmin = tzmin;\\n if (tzmax < tmax || tmax !== tmax)\\n tmax = tzmax;\\n if (tmax < 0)\\n return null;\\n return this.at(tmin >= 0 ? tmin : tmax, target);\\n }\\n intersectsBox(box) {\\n return this.intersectBox(box, _vector6) !== null;\\n }\\n intersectTriangle(a, b, c, backfaceCulling, target) {\\n _edge1.subVectors(b, a);\\n _edge2.subVectors(c, a);\\n _normal.crossVectors(_edge1, _edge2);\\n let DdN = this.direction.dot(_normal);\\n let sign;\\n if (DdN > 0) {\\n if (backfaceCulling)\\n return null;\\n sign = 1;\\n } else if (DdN < 0) {\\n sign = -1;\\n DdN = -DdN;\\n } else {\\n return null;\\n }\\n _diff.subVectors(this.origin, a);\\n const DdQxE2 = sign * this.direction.dot(_edge2.crossVectors(_diff, _edge2));\\n if (DdQxE2 < 0) {\\n return null;\\n }\\n const DdE1xQ = sign * this.direction.dot(_edge1.cross(_diff));\\n if (DdE1xQ < 0) {\\n return null;\\n }\\n if (DdQxE2 + DdE1xQ > DdN) {\\n return null;\\n }\\n const QdN = -sign * _diff.dot(_normal);\\n if (QdN < 0) {\\n return null;\\n }\\n return this.at(QdN / DdN, target);\\n }\\n applyMatrix4(matrix4) {\\n this.origin.applyMatrix4(matrix4);\\n this.direction.transformDirection(matrix4);\\n return this;\\n }\\n equals(ray) {\\n return ray.origin.equals(this.origin) && ray.direction.equals(this.direction);\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n};\\n\\n// ../../../node_modules/three/src/math/Triangle.js\\nvar _v02 = /* @__PURE__ */ new Vector3();\\nvar _v15 = /* @__PURE__ */ new Vector3();\\nvar _v22 = /* @__PURE__ */ new Vector3();\\nvar _v3 = /* @__PURE__ */ new Vector3();\\nvar _vab = /* @__PURE__ */ new Vector3();\\nvar _vac = /* @__PURE__ */ new Vector3();\\nvar _vbc = /* @__PURE__ */ new Vector3();\\nvar _vap = /* @__PURE__ */ new Vector3();\\nvar _vbp = /* @__PURE__ */ new Vector3();\\nvar _vcp = /* @__PURE__ */ new Vector3();\\nvar Triangle = class {\\n constructor(a = new Vector3(), b = new Vector3(), c = new Vector3()) {\\n this.a = a;\\n this.b = b;\\n this.c = c;\\n }\\n static getNormal(a, b, c, target) {\\n target.subVectors(c, b);\\n _v02.subVectors(a, b);\\n target.cross(_v02);\\n const targetLengthSq = target.lengthSq();\\n if (targetLengthSq > 0) {\\n return target.multiplyScalar(1 / Math.sqrt(targetLengthSq));\\n }\\n return target.set(0, 0, 0);\\n }\\n static getBarycoord(point, a, b, c, target) {\\n _v02.subVectors(c, a);\\n _v15.subVectors(b, a);\\n _v22.subVectors(point, a);\\n const dot00 = _v02.dot(_v02);\\n const dot01 = _v02.dot(_v15);\\n const dot02 = _v02.dot(_v22);\\n const dot11 = _v15.dot(_v15);\\n const dot12 = _v15.dot(_v22);\\n const denom = dot00 * dot11 - dot01 * dot01;\\n if (denom === 0) {\\n return target.set(-2, -1, -1);\\n }\\n const invDenom = 1 / denom;\\n const u = (dot11 * dot02 - dot01 * dot12) * invDenom;\\n const v = (dot00 * dot12 - dot01 * dot02) * invDenom;\\n return target.set(1 - u - v, v, u);\\n }\\n static containsPoint(point, a, b, c) {\\n this.getBarycoord(point, a, b, c, _v3);\\n return _v3.x >= 0 && _v3.y >= 0 && _v3.x + _v3.y <= 1;\\n }\\n static getUV(point, p1, p2, p3, uv1, uv2, uv3, target) {\\n this.getBarycoord(point, p1, p2, p3, _v3);\\n target.set(0, 0);\\n target.addScaledVector(uv1, _v3.x);\\n target.addScaledVector(uv2, _v3.y);\\n target.addScaledVector(uv3, _v3.z);\\n return target;\\n }\\n static isFrontFacing(a, b, c, direction) {\\n _v02.subVectors(c, b);\\n _v15.subVectors(a, b);\\n return _v02.cross(_v15).dot(direction) < 0 ? true : false;\\n }\\n set(a, b, c) {\\n this.a.copy(a);\\n this.b.copy(b);\\n this.c.copy(c);\\n return this;\\n }\\n setFromPointsAndIndices(points2, i0, i1, i2) {\\n this.a.copy(points2[i0]);\\n this.b.copy(points2[i1]);\\n this.c.copy(points2[i2]);\\n return this;\\n }\\n setFromAttributeAndIndices(attribute, i0, i1, i2) {\\n this.a.fromBufferAttribute(attribute, i0);\\n this.b.fromBufferAttribute(attribute, i1);\\n this.c.fromBufferAttribute(attribute, i2);\\n return this;\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n copy(triangle) {\\n this.a.copy(triangle.a);\\n this.b.copy(triangle.b);\\n this.c.copy(triangle.c);\\n return this;\\n }\\n getArea() {\\n _v02.subVectors(this.c, this.b);\\n _v15.subVectors(this.a, this.b);\\n return _v02.cross(_v15).length() * 0.5;\\n }\\n getMidpoint(target) {\\n return target.addVectors(this.a, this.b).add(this.c).multiplyScalar(1 / 3);\\n }\\n getNormal(target) {\\n return Triangle.getNormal(this.a, this.b, this.c, target);\\n }\\n getPlane(target) {\\n return target.setFromCoplanarPoints(this.a, this.b, this.c);\\n }\\n getBarycoord(point, target) {\\n return Triangle.getBarycoord(point, this.a, this.b, this.c, target);\\n }\\n getUV(point, uv1, uv2, uv3, target) {\\n return Triangle.getUV(point, this.a, this.b, this.c, uv1, uv2, uv3, target);\\n }\\n containsPoint(point) {\\n return Triangle.containsPoint(point, this.a, this.b, this.c);\\n }\\n isFrontFacing(direction) {\\n return Triangle.isFrontFacing(this.a, this.b, this.c, direction);\\n }\\n intersectsBox(box) {\\n return box.intersectsTriangle(this);\\n }\\n closestPointToPoint(p, target) {\\n const a = this.a, b = this.b, c = this.c;\\n let v, w;\\n _vab.subVectors(b, a);\\n _vac.subVectors(c, a);\\n _vap.subVectors(p, a);\\n const d1 = _vab.dot(_vap);\\n const d2 = _vac.dot(_vap);\\n if (d1 <= 0 && d2 <= 0) {\\n return target.copy(a);\\n }\\n _vbp.subVectors(p, b);\\n const d3 = _vab.dot(_vbp);\\n const d4 = _vac.dot(_vbp);\\n if (d3 >= 0 && d4 <= d3) {\\n return target.copy(b);\\n }\\n const vc = d1 * d4 - d3 * d2;\\n if (vc <= 0 && d1 >= 0 && d3 <= 0) {\\n v = d1 / (d1 - d3);\\n return target.copy(a).addScaledVector(_vab, v);\\n }\\n _vcp.subVectors(p, c);\\n const d5 = _vab.dot(_vcp);\\n const d6 = _vac.dot(_vcp);\\n if (d6 >= 0 && d5 <= d6) {\\n return target.copy(c);\\n }\\n const vb = d5 * d2 - d1 * d6;\\n if (vb <= 0 && d2 >= 0 && d6 <= 0) {\\n w = d2 / (d2 - d6);\\n return target.copy(a).addScaledVector(_vac, w);\\n }\\n const va = d3 * d6 - d5 * d4;\\n if (va <= 0 && d4 - d3 >= 0 && d5 - d6 >= 0) {\\n _vbc.subVectors(c, b);\\n w = (d4 - d3) / (d4 - d3 + (d5 - d6));\\n return target.copy(b).addScaledVector(_vbc, w);\\n }\\n const denom = 1 / (va + vb + vc);\\n v = vb * denom;\\n w = vc * denom;\\n return target.copy(a).addScaledVector(_vab, v).addScaledVector(_vac, w);\\n }\\n equals(triangle) {\\n return triangle.a.equals(this.a) && triangle.b.equals(this.b) && triangle.c.equals(this.c);\\n }\\n};\\n\\n// ../../../node_modules/three/src/materials/MeshBasicMaterial.js\\nvar MeshBasicMaterial = class extends Material {\\n constructor(parameters) {\\n super();\\n this.type = \\\\\\\"MeshBasicMaterial\\\\\\\";\\n this.color = new Color(16777215);\\n this.map = null;\\n this.lightMap = null;\\n this.lightMapIntensity = 1;\\n this.aoMap = null;\\n this.aoMapIntensity = 1;\\n this.specularMap = null;\\n this.alphaMap = null;\\n this.envMap = null;\\n this.combine = MultiplyOperation;\\n this.reflectivity = 1;\\n this.refractionRatio = 0.98;\\n this.wireframe = false;\\n this.wireframeLinewidth = 1;\\n this.wireframeLinecap = \\\\\\\"round\\\\\\\";\\n this.wireframeLinejoin = \\\\\\\"round\\\\\\\";\\n this.setValues(parameters);\\n }\\n copy(source) {\\n super.copy(source);\\n this.color.copy(source.color);\\n this.map = source.map;\\n this.lightMap = source.lightMap;\\n this.lightMapIntensity = source.lightMapIntensity;\\n this.aoMap = source.aoMap;\\n this.aoMapIntensity = source.aoMapIntensity;\\n this.specularMap = source.specularMap;\\n this.alphaMap = source.alphaMap;\\n this.envMap = source.envMap;\\n this.combine = source.combine;\\n this.reflectivity = source.reflectivity;\\n this.refractionRatio = source.refractionRatio;\\n this.wireframe = source.wireframe;\\n this.wireframeLinewidth = source.wireframeLinewidth;\\n this.wireframeLinecap = source.wireframeLinecap;\\n this.wireframeLinejoin = source.wireframeLinejoin;\\n return this;\\n }\\n};\\nMeshBasicMaterial.prototype.isMeshBasicMaterial = true;\\n\\n// ../../../node_modules/three/src/objects/Mesh.js\\nvar _inverseMatrix = /* @__PURE__ */ new Matrix4();\\nvar _ray = /* @__PURE__ */ new Ray();\\nvar _sphere2 = /* @__PURE__ */ new Sphere();\\nvar _vA = /* @__PURE__ */ new Vector3();\\nvar _vB = /* @__PURE__ */ new Vector3();\\nvar _vC = /* @__PURE__ */ new Vector3();\\nvar _tempA = /* @__PURE__ */ new Vector3();\\nvar _tempB = /* @__PURE__ */ new Vector3();\\nvar _tempC = /* @__PURE__ */ new Vector3();\\nvar _morphA = /* @__PURE__ */ new Vector3();\\nvar _morphB = /* @__PURE__ */ new Vector3();\\nvar _morphC = /* @__PURE__ */ new Vector3();\\nvar _uvA = /* @__PURE__ */ new Vector2();\\nvar _uvB = /* @__PURE__ */ new Vector2();\\nvar _uvC = /* @__PURE__ */ new Vector2();\\nvar _intersectionPoint = /* @__PURE__ */ new Vector3();\\nvar _intersectionPointWorld = /* @__PURE__ */ new Vector3();\\nvar Mesh = class extends Object3D {\\n constructor(geometry = new BufferGeometry(), material = new MeshBasicMaterial()) {\\n super();\\n this.type = \\\\\\\"Mesh\\\\\\\";\\n this.geometry = geometry;\\n this.material = material;\\n this.updateMorphTargets();\\n }\\n copy(source) {\\n super.copy(source);\\n if (source.morphTargetInfluences !== void 0) {\\n this.morphTargetInfluences = source.morphTargetInfluences.slice();\\n }\\n if (source.morphTargetDictionary !== void 0) {\\n this.morphTargetDictionary = Object.assign({}, source.morphTargetDictionary);\\n }\\n this.material = source.material;\\n this.geometry = source.geometry;\\n return this;\\n }\\n updateMorphTargets() {\\n const geometry = this.geometry;\\n if (geometry.isBufferGeometry) {\\n const morphAttributes = geometry.morphAttributes;\\n const keys = Object.keys(morphAttributes);\\n if (keys.length > 0) {\\n const morphAttribute = morphAttributes[keys[0]];\\n if (morphAttribute !== void 0) {\\n this.morphTargetInfluences = [];\\n this.morphTargetDictionary = {};\\n for (let m = 0, ml = morphAttribute.length; m < ml; m++) {\\n const name = morphAttribute[m].name || String(m);\\n this.morphTargetInfluences.push(0);\\n this.morphTargetDictionary[name] = m;\\n }\\n }\\n }\\n } else {\\n const morphTargets = geometry.morphTargets;\\n if (morphTargets !== void 0 && morphTargets.length > 0) {\\n console.error(\\\\\\\"THREE.Mesh.updateMorphTargets() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\");\\n }\\n }\\n }\\n raycast(raycaster, intersects) {\\n const geometry = this.geometry;\\n const material = this.material;\\n const matrixWorld = this.matrixWorld;\\n if (material === void 0)\\n return;\\n if (geometry.boundingSphere === null)\\n geometry.computeBoundingSphere();\\n _sphere2.copy(geometry.boundingSphere);\\n _sphere2.applyMatrix4(matrixWorld);\\n if (raycaster.ray.intersectsSphere(_sphere2) === false)\\n return;\\n _inverseMatrix.copy(matrixWorld).invert();\\n _ray.copy(raycaster.ray).applyMatrix4(_inverseMatrix);\\n if (geometry.boundingBox !== null) {\\n if (_ray.intersectsBox(geometry.boundingBox) === false)\\n return;\\n }\\n let intersection;\\n if (geometry.isBufferGeometry) {\\n const index = geometry.index;\\n const position = geometry.attributes.position;\\n const morphPosition = geometry.morphAttributes.position;\\n const morphTargetsRelative = geometry.morphTargetsRelative;\\n const uv = geometry.attributes.uv;\\n const uv2 = geometry.attributes.uv2;\\n const groups = geometry.groups;\\n const drawRange = geometry.drawRange;\\n if (index !== null) {\\n if (Array.isArray(material)) {\\n for (let i = 0, il = groups.length; i < il; i++) {\\n const group = groups[i];\\n const groupMaterial = material[group.materialIndex];\\n const start = Math.max(group.start, drawRange.start);\\n const end = Math.min(index.count, Math.min(group.start + group.count, drawRange.start + drawRange.count));\\n for (let j = start, jl = end; j < jl; j += 3) {\\n const a = index.getX(j);\\n const b = index.getX(j + 1);\\n const c = index.getX(j + 2);\\n intersection = checkBufferGeometryIntersection(this, groupMaterial, raycaster, _ray, position, morphPosition, morphTargetsRelative, uv, uv2, a, b, c);\\n if (intersection) {\\n intersection.faceIndex = Math.floor(j / 3);\\n intersection.face.materialIndex = group.materialIndex;\\n intersects.push(intersection);\\n }\\n }\\n }\\n } else {\\n const start = Math.max(0, drawRange.start);\\n const end = Math.min(index.count, drawRange.start + drawRange.count);\\n for (let i = start, il = end; i < il; i += 3) {\\n const a = index.getX(i);\\n const b = index.getX(i + 1);\\n const c = index.getX(i + 2);\\n intersection = checkBufferGeometryIntersection(this, material, raycaster, _ray, position, morphPosition, morphTargetsRelative, uv, uv2, a, b, c);\\n if (intersection) {\\n intersection.faceIndex = Math.floor(i / 3);\\n intersects.push(intersection);\\n }\\n }\\n }\\n } else if (position !== void 0) {\\n if (Array.isArray(material)) {\\n for (let i = 0, il = groups.length; i < il; i++) {\\n const group = groups[i];\\n const groupMaterial = material[group.materialIndex];\\n const start = Math.max(group.start, drawRange.start);\\n const end = Math.min(position.count, Math.min(group.start + group.count, drawRange.start + drawRange.count));\\n for (let j = start, jl = end; j < jl; j += 3) {\\n const a = j;\\n const b = j + 1;\\n const c = j + 2;\\n intersection = checkBufferGeometryIntersection(this, groupMaterial, raycaster, _ray, position, morphPosition, morphTargetsRelative, uv, uv2, a, b, c);\\n if (intersection) {\\n intersection.faceIndex = Math.floor(j / 3);\\n intersection.face.materialIndex = group.materialIndex;\\n intersects.push(intersection);\\n }\\n }\\n }\\n } else {\\n const start = Math.max(0, drawRange.start);\\n const end = Math.min(position.count, drawRange.start + drawRange.count);\\n for (let i = start, il = end; i < il; i += 3) {\\n const a = i;\\n const b = i + 1;\\n const c = i + 2;\\n intersection = checkBufferGeometryIntersection(this, material, raycaster, _ray, position, morphPosition, morphTargetsRelative, uv, uv2, a, b, c);\\n if (intersection) {\\n intersection.faceIndex = Math.floor(i / 3);\\n intersects.push(intersection);\\n }\\n }\\n }\\n }\\n } else if (geometry.isGeometry) {\\n console.error(\\\\\\\"THREE.Mesh.raycast() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\");\\n }\\n }\\n};\\nMesh.prototype.isMesh = true;\\nfunction checkIntersection(object, material, raycaster, ray, pA, pB, pC, point) {\\n let intersect;\\n if (material.side === BackSide) {\\n intersect = ray.intersectTriangle(pC, pB, pA, true, point);\\n } else {\\n intersect = ray.intersectTriangle(pA, pB, pC, material.side !== DoubleSide, point);\\n }\\n if (intersect === null)\\n return null;\\n _intersectionPointWorld.copy(point);\\n _intersectionPointWorld.applyMatrix4(object.matrixWorld);\\n const distance = raycaster.ray.origin.distanceTo(_intersectionPointWorld);\\n if (distance < raycaster.near || distance > raycaster.far)\\n return null;\\n return {\\n distance,\\n point: _intersectionPointWorld.clone(),\\n object\\n };\\n}\\nfunction checkBufferGeometryIntersection(object, material, raycaster, ray, position, morphPosition, morphTargetsRelative, uv, uv2, a, b, c) {\\n _vA.fromBufferAttribute(position, a);\\n _vB.fromBufferAttribute(position, b);\\n _vC.fromBufferAttribute(position, c);\\n const morphInfluences = object.morphTargetInfluences;\\n if (morphPosition && morphInfluences) {\\n _morphA.set(0, 0, 0);\\n _morphB.set(0, 0, 0);\\n _morphC.set(0, 0, 0);\\n for (let i = 0, il = morphPosition.length; i < il; i++) {\\n const influence = morphInfluences[i];\\n const morphAttribute = morphPosition[i];\\n if (influence === 0)\\n continue;\\n _tempA.fromBufferAttribute(morphAttribute, a);\\n _tempB.fromBufferAttribute(morphAttribute, b);\\n _tempC.fromBufferAttribute(morphAttribute, c);\\n if (morphTargetsRelative) {\\n _morphA.addScaledVector(_tempA, influence);\\n _morphB.addScaledVector(_tempB, influence);\\n _morphC.addScaledVector(_tempC, influence);\\n } else {\\n _morphA.addScaledVector(_tempA.sub(_vA), influence);\\n _morphB.addScaledVector(_tempB.sub(_vB), influence);\\n _morphC.addScaledVector(_tempC.sub(_vC), influence);\\n }\\n }\\n _vA.add(_morphA);\\n _vB.add(_morphB);\\n _vC.add(_morphC);\\n }\\n if (object.isSkinnedMesh) {\\n object.boneTransform(a, _vA);\\n object.boneTransform(b, _vB);\\n object.boneTransform(c, _vC);\\n }\\n const intersection = checkIntersection(object, material, raycaster, ray, _vA, _vB, _vC, _intersectionPoint);\\n if (intersection) {\\n if (uv) {\\n _uvA.fromBufferAttribute(uv, a);\\n _uvB.fromBufferAttribute(uv, b);\\n _uvC.fromBufferAttribute(uv, c);\\n intersection.uv = Triangle.getUV(_intersectionPoint, _vA, _vB, _vC, _uvA, _uvB, _uvC, new Vector2());\\n }\\n if (uv2) {\\n _uvA.fromBufferAttribute(uv2, a);\\n _uvB.fromBufferAttribute(uv2, b);\\n _uvC.fromBufferAttribute(uv2, c);\\n intersection.uv2 = Triangle.getUV(_intersectionPoint, _vA, _vB, _vC, _uvA, _uvB, _uvC, new Vector2());\\n }\\n const face = {\\n a,\\n b,\\n c,\\n normal: new Vector3(),\\n materialIndex: 0\\n };\\n Triangle.getNormal(_vA, _vB, _vC, face.normal);\\n intersection.face = face;\\n }\\n return intersection;\\n}\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/alphamap_fragment.glsl.js\\nvar alphamap_fragment_glsl_default = `\\n#ifdef USE_ALPHAMAP\\n\\n\\tdiffuseColor.a *= texture2D( alphaMap, vUv ).g;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/alphamap_pars_fragment.glsl.js\\nvar alphamap_pars_fragment_glsl_default = `\\n#ifdef USE_ALPHAMAP\\n\\n\\tuniform sampler2D alphaMap;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/alphatest_fragment.glsl.js\\nvar alphatest_fragment_glsl_default = `\\n#ifdef USE_ALPHATEST\\n\\n\\tif ( diffuseColor.a < alphaTest ) discard;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/alphatest_pars_fragment.glsl.js\\nvar alphatest_pars_fragment_glsl_default = `\\n#ifdef USE_ALPHATEST\\n\\tuniform float alphaTest;\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/aomap_fragment.glsl.js\\nvar aomap_fragment_glsl_default = `\\n#ifdef USE_AOMAP\\n\\n\\t// reads channel R, compatible with a combined OcclusionRoughnessMetallic (RGB) texture\\n\\tfloat ambientOcclusion = ( texture2D( aoMap, vUv2 ).r - 1.0 ) * aoMapIntensity + 1.0;\\n\\n\\treflectedLight.indirectDiffuse *= ambientOcclusion;\\n\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD )\\n\\n\\t\\tfloat dotNV = saturate( dot( geometry.normal, geometry.viewDir ) );\\n\\n\\t\\treflectedLight.indirectSpecular *= computeSpecularOcclusion( dotNV, ambientOcclusion, material.roughness );\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/aomap_pars_fragment.glsl.js\\nvar aomap_pars_fragment_glsl_default = `\\n#ifdef USE_AOMAP\\n\\n\\tuniform sampler2D aoMap;\\n\\tuniform float aoMapIntensity;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/begin_vertex.glsl.js\\nvar begin_vertex_glsl_default = `\\nvec3 transformed = vec3( position );\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/beginnormal_vertex.glsl.js\\nvar beginnormal_vertex_glsl_default = `\\nvec3 objectNormal = vec3( normal );\\n\\n#ifdef USE_TANGENT\\n\\n\\tvec3 objectTangent = vec3( tangent.xyz );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/bsdfs.glsl.js\\nvar bsdfs_glsl_default = `\\n\\nvec3 BRDF_Lambert( const in vec3 diffuseColor ) {\\n\\n\\treturn RECIPROCAL_PI * diffuseColor;\\n\\n} // validated\\n\\nvec3 F_Schlick( const in vec3 f0, const in float f90, const in float dotVH ) {\\n\\n\\t// Original approximation by Christophe Schlick '94\\n\\t// float fresnel = pow( 1.0 - dotVH, 5.0 );\\n\\n\\t// Optimized variant (presented by Epic at SIGGRAPH '13)\\n\\t// https://cdn2.unrealengine.com/Resources/files/2013SiggraphPresentationsNotes-26915738.pdf\\n\\tfloat fresnel = exp2( ( - 5.55473 * dotVH - 6.98316 ) * dotVH );\\n\\n\\treturn f0 * ( 1.0 - fresnel ) + ( f90 * fresnel );\\n\\n} // validated\\n\\n// Moving Frostbite to Physically Based Rendering 3.0 - page 12, listing 2\\n// https://seblagarde.files.wordpress.com/2015/07/course_notes_moving_frostbite_to_pbr_v32.pdf\\nfloat V_GGX_SmithCorrelated( const in float alpha, const in float dotNL, const in float dotNV ) {\\n\\n\\tfloat a2 = pow2( alpha );\\n\\n\\tfloat gv = dotNL * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNV ) );\\n\\tfloat gl = dotNV * sqrt( a2 + ( 1.0 - a2 ) * pow2( dotNL ) );\\n\\n\\treturn 0.5 / max( gv + gl, EPSILON );\\n\\n}\\n\\n// Microfacet Models for Refraction through Rough Surfaces - equation (33)\\n// http://graphicrants.blogspot.com/2013/08/specular-brdf-reference.html\\n// alpha is \\\\\\\"roughness squared\\\\\\\" in Disney\\\\u2019s reparameterization\\nfloat D_GGX( const in float alpha, const in float dotNH ) {\\n\\n\\tfloat a2 = pow2( alpha );\\n\\n\\tfloat denom = pow2( dotNH ) * ( a2 - 1.0 ) + 1.0; // avoid alpha = 0 with dotNH = 1\\n\\n\\treturn RECIPROCAL_PI * a2 / pow2( denom );\\n\\n}\\n\\n// GGX Distribution, Schlick Fresnel, GGX_SmithCorrelated Visibility\\nvec3 BRDF_GGX( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 f0, const in float f90, const in float roughness ) {\\n\\n\\tfloat alpha = pow2( roughness ); // UE4's roughness\\n\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\n\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\n\\tvec3 F = F_Schlick( f0, f90, dotVH );\\n\\n\\tfloat V = V_GGX_SmithCorrelated( alpha, dotNL, dotNV );\\n\\n\\tfloat D = D_GGX( alpha, dotNH );\\n\\n\\treturn F * ( V * D );\\n\\n}\\n\\n// Rect Area Light\\n\\n// Real-Time Polygonal-Light Shading with Linearly Transformed Cosines\\n// by Eric Heitz, Jonathan Dupuy, Stephen Hill and David Neubelt\\n// code: https://github.com/selfshadow/ltc_code/\\n\\nvec2 LTC_Uv( const in vec3 N, const in vec3 V, const in float roughness ) {\\n\\n\\tconst float LUT_SIZE = 64.0;\\n\\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\\n\\tconst float LUT_BIAS = 0.5 / LUT_SIZE;\\n\\n\\tfloat dotNV = saturate( dot( N, V ) );\\n\\n\\t// texture parameterized by sqrt( GGX alpha ) and sqrt( 1 - cos( theta ) )\\n\\tvec2 uv = vec2( roughness, sqrt( 1.0 - dotNV ) );\\n\\n\\tuv = uv * LUT_SCALE + LUT_BIAS;\\n\\n\\treturn uv;\\n\\n}\\n\\nfloat LTC_ClippedSphereFormFactor( const in vec3 f ) {\\n\\n\\t// Real-Time Area Lighting: a Journey from Research to Production (p.102)\\n\\t// An approximation of the form factor of a horizon-clipped rectangle.\\n\\n\\tfloat l = length( f );\\n\\n\\treturn max( ( l * l + f.z ) / ( l + 1.0 ), 0.0 );\\n\\n}\\n\\nvec3 LTC_EdgeVectorFormFactor( const in vec3 v1, const in vec3 v2 ) {\\n\\n\\tfloat x = dot( v1, v2 );\\n\\n\\tfloat y = abs( x );\\n\\n\\t// rational polynomial approximation to theta / sin( theta ) / 2PI\\n\\tfloat a = 0.8543985 + ( 0.4965155 + 0.0145206 * y ) * y;\\n\\tfloat b = 3.4175940 + ( 4.1616724 + y ) * y;\\n\\tfloat v = a / b;\\n\\n\\tfloat theta_sintheta = ( x > 0.0 ) ? v : 0.5 * inversesqrt( max( 1.0 - x * x, 1e-7 ) ) - v;\\n\\n\\treturn cross( v1, v2 ) * theta_sintheta;\\n\\n}\\n\\nvec3 LTC_Evaluate( const in vec3 N, const in vec3 V, const in vec3 P, const in mat3 mInv, const in vec3 rectCoords[ 4 ] ) {\\n\\n\\t// bail if point is on back side of plane of light\\n\\t// assumes ccw winding order of light vertices\\n\\tvec3 v1 = rectCoords[ 1 ] - rectCoords[ 0 ];\\n\\tvec3 v2 = rectCoords[ 3 ] - rectCoords[ 0 ];\\n\\tvec3 lightNormal = cross( v1, v2 );\\n\\n\\tif( dot( lightNormal, P - rectCoords[ 0 ] ) < 0.0 ) return vec3( 0.0 );\\n\\n\\t// construct orthonormal basis around N\\n\\tvec3 T1, T2;\\n\\tT1 = normalize( V - N * dot( V, N ) );\\n\\tT2 = - cross( N, T1 ); // negated from paper; possibly due to a different handedness of world coordinate system\\n\\n\\t// compute transform\\n\\tmat3 mat = mInv * transposeMat3( mat3( T1, T2, N ) );\\n\\n\\t// transform rect\\n\\tvec3 coords[ 4 ];\\n\\tcoords[ 0 ] = mat * ( rectCoords[ 0 ] - P );\\n\\tcoords[ 1 ] = mat * ( rectCoords[ 1 ] - P );\\n\\tcoords[ 2 ] = mat * ( rectCoords[ 2 ] - P );\\n\\tcoords[ 3 ] = mat * ( rectCoords[ 3 ] - P );\\n\\n\\t// project rect onto sphere\\n\\tcoords[ 0 ] = normalize( coords[ 0 ] );\\n\\tcoords[ 1 ] = normalize( coords[ 1 ] );\\n\\tcoords[ 2 ] = normalize( coords[ 2 ] );\\n\\tcoords[ 3 ] = normalize( coords[ 3 ] );\\n\\n\\t// calculate vector form factor\\n\\tvec3 vectorFormFactor = vec3( 0.0 );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 0 ], coords[ 1 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 1 ], coords[ 2 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 2 ], coords[ 3 ] );\\n\\tvectorFormFactor += LTC_EdgeVectorFormFactor( coords[ 3 ], coords[ 0 ] );\\n\\n\\t// adjust for horizon clipping\\n\\tfloat result = LTC_ClippedSphereFormFactor( vectorFormFactor );\\n\\n/*\\n\\t// alternate method of adjusting for horizon clipping (see referece)\\n\\t// refactoring required\\n\\tfloat len = length( vectorFormFactor );\\n\\tfloat z = vectorFormFactor.z / len;\\n\\n\\tconst float LUT_SIZE = 64.0;\\n\\tconst float LUT_SCALE = ( LUT_SIZE - 1.0 ) / LUT_SIZE;\\n\\tconst float LUT_BIAS = 0.5 / LUT_SIZE;\\n\\n\\t// tabulated horizon-clipped sphere, apparently...\\n\\tvec2 uv = vec2( z * 0.5 + 0.5, len );\\n\\tuv = uv * LUT_SCALE + LUT_BIAS;\\n\\n\\tfloat scale = texture2D( ltc_2, uv ).w;\\n\\n\\tfloat result = len * scale;\\n*/\\n\\n\\treturn vec3( result );\\n\\n}\\n\\n// End Rect Area Light\\n\\n\\nfloat G_BlinnPhong_Implicit( /* const in float dotNL, const in float dotNV */ ) {\\n\\n\\t// geometry term is (n dot l)(n dot v) / 4(n dot l)(n dot v)\\n\\treturn 0.25;\\n\\n}\\n\\nfloat D_BlinnPhong( const in float shininess, const in float dotNH ) {\\n\\n\\treturn RECIPROCAL_PI * ( shininess * 0.5 + 1.0 ) * pow( dotNH, shininess );\\n\\n}\\n\\nvec3 BRDF_BlinnPhong( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, const in vec3 specularColor, const in float shininess ) {\\n\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\tfloat dotVH = saturate( dot( viewDir, halfDir ) );\\n\\n\\tvec3 F = F_Schlick( specularColor, 1.0, dotVH );\\n\\n\\tfloat G = G_BlinnPhong_Implicit( /* dotNL, dotNV */ );\\n\\n\\tfloat D = D_BlinnPhong( shininess, dotNH );\\n\\n\\treturn F * ( G * D );\\n\\n} // validated\\n\\n#if defined( USE_SHEEN )\\n\\n// https://github.com/google/filament/blob/master/shaders/src/brdf.fs\\nfloat D_Charlie( float roughness, float dotNH ) {\\n\\n\\tfloat alpha = pow2( roughness );\\n\\n\\t// Estevez and Kulla 2017, \\\\\\\"Production Friendly Microfacet Sheen BRDF\\\\\\\"\\n\\tfloat invAlpha = 1.0 / alpha;\\n\\tfloat cos2h = dotNH * dotNH;\\n\\tfloat sin2h = max( 1.0 - cos2h, 0.0078125 ); // 2^(-14/2), so sin2h^2 > 0 in fp16\\n\\n\\treturn ( 2.0 + invAlpha ) * pow( sin2h, invAlpha * 0.5 ) / ( 2.0 * PI );\\n\\n}\\n\\n// https://github.com/google/filament/blob/master/shaders/src/brdf.fs\\nfloat V_Neubelt( float dotNV, float dotNL ) {\\n\\n\\t// Neubelt and Pettineo 2013, \\\\\\\"Crafting a Next-gen Material Pipeline for The Order: 1886\\\\\\\"\\n\\treturn saturate( 1.0 / ( 4.0 * ( dotNL + dotNV - dotNL * dotNV ) ) );\\n\\n}\\n\\nvec3 BRDF_Sheen( const in vec3 lightDir, const in vec3 viewDir, const in vec3 normal, vec3 sheenTint, const in float sheenRoughness ) {\\n\\n\\tvec3 halfDir = normalize( lightDir + viewDir );\\n\\n\\tfloat dotNL = saturate( dot( normal, lightDir ) );\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\tfloat dotNH = saturate( dot( normal, halfDir ) );\\n\\n\\tfloat D = D_Charlie( sheenRoughness, dotNH );\\n\\tfloat V = V_Neubelt( dotNV, dotNL );\\n\\n\\treturn sheenTint * ( D * V );\\n\\n}\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/bumpmap_pars_fragment.glsl.js\\nvar bumpmap_pars_fragment_glsl_default = `\\n#ifdef USE_BUMPMAP\\n\\n\\tuniform sampler2D bumpMap;\\n\\tuniform float bumpScale;\\n\\n\\t// Bump Mapping Unparametrized Surfaces on the GPU by Morten S. Mikkelsen\\n\\t// http://api.unrealengine.com/attachments/Engine/Rendering/LightingAndShadows/BumpMappingWithoutTangentSpace/mm_sfgrad_bump.pdf\\n\\n\\t// Evaluate the derivative of the height w.r.t. screen-space using forward differencing (listing 2)\\n\\n\\tvec2 dHdxy_fwd() {\\n\\n\\t\\tvec2 dSTdx = dFdx( vUv );\\n\\t\\tvec2 dSTdy = dFdy( vUv );\\n\\n\\t\\tfloat Hll = bumpScale * texture2D( bumpMap, vUv ).x;\\n\\t\\tfloat dBx = bumpScale * texture2D( bumpMap, vUv + dSTdx ).x - Hll;\\n\\t\\tfloat dBy = bumpScale * texture2D( bumpMap, vUv + dSTdy ).x - Hll;\\n\\n\\t\\treturn vec2( dBx, dBy );\\n\\n\\t}\\n\\n\\tvec3 perturbNormalArb( vec3 surf_pos, vec3 surf_norm, vec2 dHdxy, float faceDirection ) {\\n\\n\\t\\t// Workaround for Adreno 3XX dFd*( vec3 ) bug. See #9988\\n\\n\\t\\tvec3 vSigmaX = vec3( dFdx( surf_pos.x ), dFdx( surf_pos.y ), dFdx( surf_pos.z ) );\\n\\t\\tvec3 vSigmaY = vec3( dFdy( surf_pos.x ), dFdy( surf_pos.y ), dFdy( surf_pos.z ) );\\n\\t\\tvec3 vN = surf_norm;\\t\\t// normalized\\n\\n\\t\\tvec3 R1 = cross( vSigmaY, vN );\\n\\t\\tvec3 R2 = cross( vN, vSigmaX );\\n\\n\\t\\tfloat fDet = dot( vSigmaX, R1 ) * faceDirection;\\n\\n\\t\\tvec3 vGrad = sign( fDet ) * ( dHdxy.x * R1 + dHdxy.y * R2 );\\n\\t\\treturn normalize( abs( fDet ) * surf_norm - vGrad );\\n\\n\\t}\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/clipping_planes_fragment.glsl.js\\nvar clipping_planes_fragment_glsl_default = `\\n#if NUM_CLIPPING_PLANES > 0\\n\\n\\tvec4 plane;\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < UNION_CLIPPING_PLANES; i ++ ) {\\n\\n\\t\\tplane = clippingPlanes[ i ];\\n\\t\\tif ( dot( vClipPosition, plane.xyz ) > plane.w ) discard;\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n\\t#if UNION_CLIPPING_PLANES < NUM_CLIPPING_PLANES\\n\\n\\t\\tbool clipped = true;\\n\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = UNION_CLIPPING_PLANES; i < NUM_CLIPPING_PLANES; i ++ ) {\\n\\n\\t\\t\\tplane = clippingPlanes[ i ];\\n\\t\\t\\tclipped = ( dot( vClipPosition, plane.xyz ) > plane.w ) && clipped;\\n\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\n\\t\\tif ( clipped ) discard;\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/clipping_planes_pars_fragment.glsl.js\\nvar clipping_planes_pars_fragment_glsl_default = `\\n#if NUM_CLIPPING_PLANES > 0\\n\\n\\tvarying vec3 vClipPosition;\\n\\n\\tuniform vec4 clippingPlanes[ NUM_CLIPPING_PLANES ];\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/clipping_planes_pars_vertex.glsl.js\\nvar clipping_planes_pars_vertex_glsl_default = `\\n#if NUM_CLIPPING_PLANES > 0\\n\\n\\tvarying vec3 vClipPosition;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/clipping_planes_vertex.glsl.js\\nvar clipping_planes_vertex_glsl_default = `\\n#if NUM_CLIPPING_PLANES > 0\\n\\n\\tvClipPosition = - mvPosition.xyz;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/color_fragment.glsl.js\\nvar color_fragment_glsl_default = `\\n#if defined( USE_COLOR_ALPHA )\\n\\n\\tdiffuseColor *= vColor;\\n\\n#elif defined( USE_COLOR )\\n\\n\\tdiffuseColor.rgb *= vColor;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/color_pars_fragment.glsl.js\\nvar color_pars_fragment_glsl_default = `\\n#if defined( USE_COLOR_ALPHA )\\n\\n\\tvarying vec4 vColor;\\n\\n#elif defined( USE_COLOR )\\n\\n\\tvarying vec3 vColor;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/color_pars_vertex.glsl.js\\nvar color_pars_vertex_glsl_default = `\\n#if defined( USE_COLOR_ALPHA )\\n\\n\\tvarying vec4 vColor;\\n\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\n\\n\\tvarying vec3 vColor;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/color_vertex.glsl.js\\nvar color_vertex_glsl_default = `\\n#if defined( USE_COLOR_ALPHA )\\n\\n\\tvColor = vec4( 1.0 );\\n\\n#elif defined( USE_COLOR ) || defined( USE_INSTANCING_COLOR )\\n\\n\\tvColor = vec3( 1.0 );\\n\\n#endif\\n\\n#ifdef USE_COLOR\\n\\n\\tvColor *= color;\\n\\n#endif\\n\\n#ifdef USE_INSTANCING_COLOR\\n\\n\\tvColor.xyz *= instanceColor.xyz;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/common.glsl.js\\nvar common_glsl_default = `\\n#define PI 3.141592653589793\\n#define PI2 6.283185307179586\\n#define PI_HALF 1.5707963267948966\\n#define RECIPROCAL_PI 0.3183098861837907\\n#define RECIPROCAL_PI2 0.15915494309189535\\n#define EPSILON 1e-6\\n\\n#ifndef saturate\\n// may have defined saturate() already\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\n#endif\\n#define whiteComplement( a ) ( 1.0 - saturate( a ) )\\n\\nfloat pow2( const in float x ) { return x*x; }\\nfloat pow3( const in float x ) { return x*x*x; }\\nfloat pow4( const in float x ) { float x2 = x*x; return x2*x2; }\\nfloat max3( const in vec3 v ) { return max( max( v.x, v.y ), v.z ); }\\nfloat average( const in vec3 color ) { return dot( color, vec3( 0.3333 ) ); }\\n\\n// expects values in the range of [0,1]x[0,1], returns values in the [0,1] range.\\n// do not collapse into a single function per: http://byteblacksmith.com/improvements-to-the-canonical-one-liner-glsl-rand-for-opengl-es-2-0/\\nhighp float rand( const in vec2 uv ) {\\n\\n\\tconst highp float a = 12.9898, b = 78.233, c = 43758.5453;\\n\\thighp float dt = dot( uv.xy, vec2( a,b ) ), sn = mod( dt, PI );\\n\\n\\treturn fract( sin( sn ) * c );\\n\\n}\\n\\n#ifdef HIGH_PRECISION\\n\\tfloat precisionSafeLength( vec3 v ) { return length( v ); }\\n#else\\n\\tfloat precisionSafeLength( vec3 v ) {\\n\\t\\tfloat maxComponent = max3( abs( v ) );\\n\\t\\treturn length( v / maxComponent ) * maxComponent;\\n\\t}\\n#endif\\n\\nstruct IncidentLight {\\n\\tvec3 color;\\n\\tvec3 direction;\\n\\tbool visible;\\n};\\n\\nstruct ReflectedLight {\\n\\tvec3 directDiffuse;\\n\\tvec3 directSpecular;\\n\\tvec3 indirectDiffuse;\\n\\tvec3 indirectSpecular;\\n};\\n\\nstruct GeometricContext {\\n\\tvec3 position;\\n\\tvec3 normal;\\n\\tvec3 viewDir;\\n#ifdef USE_CLEARCOAT\\n\\tvec3 clearcoatNormal;\\n#endif\\n};\\n\\nvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\n\\n\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\n\\n}\\n\\nvec3 inverseTransformDirection( in vec3 dir, in mat4 matrix ) {\\n\\n\\t// dir can be either a direction vector or a normal vector\\n\\t// upper-left 3x3 of matrix is assumed to be orthogonal\\n\\n\\treturn normalize( ( vec4( dir, 0.0 ) * matrix ).xyz );\\n\\n}\\n\\nmat3 transposeMat3( const in mat3 m ) {\\n\\n\\tmat3 tmp;\\n\\n\\ttmp[ 0 ] = vec3( m[ 0 ].x, m[ 1 ].x, m[ 2 ].x );\\n\\ttmp[ 1 ] = vec3( m[ 0 ].y, m[ 1 ].y, m[ 2 ].y );\\n\\ttmp[ 2 ] = vec3( m[ 0 ].z, m[ 1 ].z, m[ 2 ].z );\\n\\n\\treturn tmp;\\n\\n}\\n\\n// https://en.wikipedia.org/wiki/Relative_luminance\\nfloat linearToRelativeLuminance( const in vec3 color ) {\\n\\n\\tvec3 weights = vec3( 0.2126, 0.7152, 0.0722 );\\n\\n\\treturn dot( weights, color.rgb );\\n\\n}\\n\\nbool isPerspectiveMatrix( mat4 m ) {\\n\\n\\treturn m[ 2 ][ 3 ] == - 1.0;\\n\\n}\\n\\nvec2 equirectUv( in vec3 dir ) {\\n\\n\\t// dir is assumed to be unit length\\n\\n\\tfloat u = atan( dir.z, dir.x ) * RECIPROCAL_PI2 + 0.5;\\n\\n\\tfloat v = asin( clamp( dir.y, - 1.0, 1.0 ) ) * RECIPROCAL_PI + 0.5;\\n\\n\\treturn vec2( u, v );\\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/cube_uv_reflection_fragment.glsl.js\\nvar cube_uv_reflection_fragment_glsl_default = `\\n#ifdef ENVMAP_TYPE_CUBE_UV\\n\\n\\t#define cubeUV_maxMipLevel 8.0\\n\\t#define cubeUV_minMipLevel 4.0\\n\\t#define cubeUV_maxTileSize 256.0\\n\\t#define cubeUV_minTileSize 16.0\\n\\n\\t// These shader functions convert between the UV coordinates of a single face of\\n\\t// a cubemap, the 0-5 integer index of a cube face, and the direction vector for\\n\\t// sampling a textureCube (not generally normalized ).\\n\\n\\tfloat getFace( vec3 direction ) {\\n\\n\\t\\tvec3 absDirection = abs( direction );\\n\\n\\t\\tfloat face = - 1.0;\\n\\n\\t\\tif ( absDirection.x > absDirection.z ) {\\n\\n\\t\\t\\tif ( absDirection.x > absDirection.y )\\n\\n\\t\\t\\t\\tface = direction.x > 0.0 ? 0.0 : 3.0;\\n\\n\\t\\t\\telse\\n\\n\\t\\t\\t\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\n\\n\\t\\t} else {\\n\\n\\t\\t\\tif ( absDirection.z > absDirection.y )\\n\\n\\t\\t\\t\\tface = direction.z > 0.0 ? 2.0 : 5.0;\\n\\n\\t\\t\\telse\\n\\n\\t\\t\\t\\tface = direction.y > 0.0 ? 1.0 : 4.0;\\n\\n\\t\\t}\\n\\n\\t\\treturn face;\\n\\n\\t}\\n\\n\\t// RH coordinate system; PMREM face-indexing convention\\n\\tvec2 getUV( vec3 direction, float face ) {\\n\\n\\t\\tvec2 uv;\\n\\n\\t\\tif ( face == 0.0 ) {\\n\\n\\t\\t\\tuv = vec2( direction.z, direction.y ) / abs( direction.x ); // pos x\\n\\n\\t\\t} else if ( face == 1.0 ) {\\n\\n\\t\\t\\tuv = vec2( - direction.x, - direction.z ) / abs( direction.y ); // pos y\\n\\n\\t\\t} else if ( face == 2.0 ) {\\n\\n\\t\\t\\tuv = vec2( - direction.x, direction.y ) / abs( direction.z ); // pos z\\n\\n\\t\\t} else if ( face == 3.0 ) {\\n\\n\\t\\t\\tuv = vec2( - direction.z, direction.y ) / abs( direction.x ); // neg x\\n\\n\\t\\t} else if ( face == 4.0 ) {\\n\\n\\t\\t\\tuv = vec2( - direction.x, direction.z ) / abs( direction.y ); // neg y\\n\\n\\t\\t} else {\\n\\n\\t\\t\\tuv = vec2( direction.x, direction.y ) / abs( direction.z ); // neg z\\n\\n\\t\\t}\\n\\n\\t\\treturn 0.5 * ( uv + 1.0 );\\n\\n\\t}\\n\\n\\tvec3 bilinearCubeUV( sampler2D envMap, vec3 direction, float mipInt ) {\\n\\n\\t\\tfloat face = getFace( direction );\\n\\n\\t\\tfloat filterInt = max( cubeUV_minMipLevel - mipInt, 0.0 );\\n\\n\\t\\tmipInt = max( mipInt, cubeUV_minMipLevel );\\n\\n\\t\\tfloat faceSize = exp2( mipInt );\\n\\n\\t\\tfloat texelSize = 1.0 / ( 3.0 * cubeUV_maxTileSize );\\n\\n\\t\\tvec2 uv = getUV( direction, face ) * ( faceSize - 1.0 );\\n\\n\\t\\tvec2 f = fract( uv );\\n\\n\\t\\tuv += 0.5 - f;\\n\\n\\t\\tif ( face > 2.0 ) {\\n\\n\\t\\t\\tuv.y += faceSize;\\n\\n\\t\\t\\tface -= 3.0;\\n\\n\\t\\t}\\n\\n\\t\\tuv.x += face * faceSize;\\n\\n\\t\\tif ( mipInt < cubeUV_maxMipLevel ) {\\n\\n\\t\\t\\tuv.y += 2.0 * cubeUV_maxTileSize;\\n\\n\\t\\t}\\n\\n\\t\\tuv.y += filterInt * 2.0 * cubeUV_minTileSize;\\n\\n\\t\\tuv.x += 3.0 * max( 0.0, cubeUV_maxTileSize - 2.0 * faceSize );\\n\\n\\t\\tuv *= texelSize;\\n\\n\\t\\tvec3 tl = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\n\\n\\t\\tuv.x += texelSize;\\n\\n\\t\\tvec3 tr = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\n\\n\\t\\tuv.y += texelSize;\\n\\n\\t\\tvec3 br = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\n\\n\\t\\tuv.x -= texelSize;\\n\\n\\t\\tvec3 bl = envMapTexelToLinear( texture2D( envMap, uv ) ).rgb;\\n\\n\\t\\tvec3 tm = mix( tl, tr, f.x );\\n\\n\\t\\tvec3 bm = mix( bl, br, f.x );\\n\\n\\t\\treturn mix( tm, bm, f.y );\\n\\n\\t}\\n\\n\\t// These defines must match with PMREMGenerator\\n\\n\\t#define r0 1.0\\n\\t#define v0 0.339\\n\\t#define m0 - 2.0\\n\\t#define r1 0.8\\n\\t#define v1 0.276\\n\\t#define m1 - 1.0\\n\\t#define r4 0.4\\n\\t#define v4 0.046\\n\\t#define m4 2.0\\n\\t#define r5 0.305\\n\\t#define v5 0.016\\n\\t#define m5 3.0\\n\\t#define r6 0.21\\n\\t#define v6 0.0038\\n\\t#define m6 4.0\\n\\n\\tfloat roughnessToMip( float roughness ) {\\n\\n\\t\\tfloat mip = 0.0;\\n\\n\\t\\tif ( roughness >= r1 ) {\\n\\n\\t\\t\\tmip = ( r0 - roughness ) * ( m1 - m0 ) / ( r0 - r1 ) + m0;\\n\\n\\t\\t} else if ( roughness >= r4 ) {\\n\\n\\t\\t\\tmip = ( r1 - roughness ) * ( m4 - m1 ) / ( r1 - r4 ) + m1;\\n\\n\\t\\t} else if ( roughness >= r5 ) {\\n\\n\\t\\t\\tmip = ( r4 - roughness ) * ( m5 - m4 ) / ( r4 - r5 ) + m4;\\n\\n\\t\\t} else if ( roughness >= r6 ) {\\n\\n\\t\\t\\tmip = ( r5 - roughness ) * ( m6 - m5 ) / ( r5 - r6 ) + m5;\\n\\n\\t\\t} else {\\n\\n\\t\\t\\tmip = - 2.0 * log2( 1.16 * roughness ); // 1.16 = 1.79^0.25\\n\\t\\t}\\n\\n\\t\\treturn mip;\\n\\n\\t}\\n\\n\\tvec4 textureCubeUV( sampler2D envMap, vec3 sampleDir, float roughness ) {\\n\\n\\t\\tfloat mip = clamp( roughnessToMip( roughness ), m0, cubeUV_maxMipLevel );\\n\\n\\t\\tfloat mipF = fract( mip );\\n\\n\\t\\tfloat mipInt = floor( mip );\\n\\n\\t\\tvec3 color0 = bilinearCubeUV( envMap, sampleDir, mipInt );\\n\\n\\t\\tif ( mipF == 0.0 ) {\\n\\n\\t\\t\\treturn vec4( color0, 1.0 );\\n\\n\\t\\t} else {\\n\\n\\t\\t\\tvec3 color1 = bilinearCubeUV( envMap, sampleDir, mipInt + 1.0 );\\n\\n\\t\\t\\treturn vec4( mix( color0, color1, mipF ), 1.0 );\\n\\n\\t\\t}\\n\\n\\t}\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/defaultnormal_vertex.glsl.js\\nvar defaultnormal_vertex_glsl_default = `\\nvec3 transformedNormal = objectNormal;\\n\\n#ifdef USE_INSTANCING\\n\\n\\t// this is in lieu of a per-instance normal-matrix\\n\\t// shear transforms in the instance matrix are not supported\\n\\n\\tmat3 m = mat3( instanceMatrix );\\n\\n\\ttransformedNormal /= vec3( dot( m[ 0 ], m[ 0 ] ), dot( m[ 1 ], m[ 1 ] ), dot( m[ 2 ], m[ 2 ] ) );\\n\\n\\ttransformedNormal = m * transformedNormal;\\n\\n#endif\\n\\ntransformedNormal = normalMatrix * transformedNormal;\\n\\n#ifdef FLIP_SIDED\\n\\n\\ttransformedNormal = - transformedNormal;\\n\\n#endif\\n\\n#ifdef USE_TANGENT\\n\\n\\tvec3 transformedTangent = ( modelViewMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\n\\n\\t#ifdef FLIP_SIDED\\n\\n\\t\\ttransformedTangent = - transformedTangent;\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/displacementmap_pars_vertex.glsl.js\\nvar displacementmap_pars_vertex_glsl_default = `\\n#ifdef USE_DISPLACEMENTMAP\\n\\n\\tuniform sampler2D displacementMap;\\n\\tuniform float displacementScale;\\n\\tuniform float displacementBias;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/displacementmap_vertex.glsl.js\\nvar displacementmap_vertex_glsl_default = `\\n#ifdef USE_DISPLACEMENTMAP\\n\\n\\ttransformed += normalize( objectNormal ) * ( texture2D( displacementMap, vUv ).x * displacementScale + displacementBias );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/emissivemap_fragment.glsl.js\\nvar emissivemap_fragment_glsl_default = `\\n#ifdef USE_EMISSIVEMAP\\n\\n\\tvec4 emissiveColor = texture2D( emissiveMap, vUv );\\n\\n\\temissiveColor.rgb = emissiveMapTexelToLinear( emissiveColor ).rgb;\\n\\n\\ttotalEmissiveRadiance *= emissiveColor.rgb;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/emissivemap_pars_fragment.glsl.js\\nvar emissivemap_pars_fragment_glsl_default = `\\n#ifdef USE_EMISSIVEMAP\\n\\n\\tuniform sampler2D emissiveMap;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/encodings_fragment.glsl.js\\nvar encodings_fragment_glsl_default = `\\ngl_FragColor = linearToOutputTexel( gl_FragColor );\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/encodings_pars_fragment.glsl.js\\nvar encodings_pars_fragment_glsl_default = `\\n// For a discussion of what this is, please read this: http://lousodrome.net/blog/light/2013/05/26/gamma-correct-and-hdr-rendering-in-a-32-bits-buffer/\\n\\nvec4 LinearToLinear( in vec4 value ) {\\n\\treturn value;\\n}\\n\\nvec4 GammaToLinear( in vec4 value, in float gammaFactor ) {\\n\\treturn vec4( pow( value.rgb, vec3( gammaFactor ) ), value.a );\\n}\\n\\nvec4 LinearToGamma( in vec4 value, in float gammaFactor ) {\\n\\treturn vec4( pow( value.rgb, vec3( 1.0 / gammaFactor ) ), value.a );\\n}\\n\\nvec4 sRGBToLinear( in vec4 value ) {\\n\\treturn vec4( mix( pow( value.rgb * 0.9478672986 + vec3( 0.0521327014 ), vec3( 2.4 ) ), value.rgb * 0.0773993808, vec3( lessThanEqual( value.rgb, vec3( 0.04045 ) ) ) ), value.a );\\n}\\n\\nvec4 LinearTosRGB( in vec4 value ) {\\n\\treturn vec4( mix( pow( value.rgb, vec3( 0.41666 ) ) * 1.055 - vec3( 0.055 ), value.rgb * 12.92, vec3( lessThanEqual( value.rgb, vec3( 0.0031308 ) ) ) ), value.a );\\n}\\n\\nvec4 RGBEToLinear( in vec4 value ) {\\n\\treturn vec4( value.rgb * exp2( value.a * 255.0 - 128.0 ), 1.0 );\\n}\\n\\nvec4 LinearToRGBE( in vec4 value ) {\\n\\tfloat maxComponent = max( max( value.r, value.g ), value.b );\\n\\tfloat fExp = clamp( ceil( log2( maxComponent ) ), -128.0, 127.0 );\\n\\treturn vec4( value.rgb / exp2( fExp ), ( fExp + 128.0 ) / 255.0 );\\n\\t// return vec4( value.brg, ( 3.0 + 128.0 ) / 256.0 );\\n}\\n\\n// reference: http://iwasbeingirony.blogspot.ca/2010/06/difference-between-rgbm-and-rgbd.html\\nvec4 RGBMToLinear( in vec4 value, in float maxRange ) {\\n\\treturn vec4( value.rgb * value.a * maxRange, 1.0 );\\n}\\n\\nvec4 LinearToRGBM( in vec4 value, in float maxRange ) {\\n\\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\\n\\tfloat M = clamp( maxRGB / maxRange, 0.0, 1.0 );\\n\\tM = ceil( M * 255.0 ) / 255.0;\\n\\treturn vec4( value.rgb / ( M * maxRange ), M );\\n}\\n\\n// reference: http://iwasbeingirony.blogspot.ca/2010/06/difference-between-rgbm-and-rgbd.html\\nvec4 RGBDToLinear( in vec4 value, in float maxRange ) {\\n\\treturn vec4( value.rgb * ( ( maxRange / 255.0 ) / value.a ), 1.0 );\\n}\\n\\nvec4 LinearToRGBD( in vec4 value, in float maxRange ) {\\n\\tfloat maxRGB = max( value.r, max( value.g, value.b ) );\\n\\tfloat D = max( maxRange / maxRGB, 1.0 );\\n\\t// NOTE: The implementation with min causes the shader to not compile on\\n\\t// a common Alcatel A502DL in Chrome 78/Android 8.1. Some research suggests \\n\\t// that the chipset is Mediatek MT6739 w/ IMG PowerVR GE8100 GPU.\\n\\t// D = min( floor( D ) / 255.0, 1.0 );\\n\\tD = clamp( floor( D ) / 255.0, 0.0, 1.0 );\\n\\treturn vec4( value.rgb * ( D * ( 255.0 / maxRange ) ), D );\\n}\\n\\n// LogLuv reference: http://graphicrants.blogspot.ca/2009/04/rgbm-color-encoding.html\\n\\n// M matrix, for encoding\\nconst mat3 cLogLuvM = mat3( 0.2209, 0.3390, 0.4184, 0.1138, 0.6780, 0.7319, 0.0102, 0.1130, 0.2969 );\\nvec4 LinearToLogLuv( in vec4 value ) {\\n\\tvec3 Xp_Y_XYZp = cLogLuvM * value.rgb;\\n\\tXp_Y_XYZp = max( Xp_Y_XYZp, vec3( 1e-6, 1e-6, 1e-6 ) );\\n\\tvec4 vResult;\\n\\tvResult.xy = Xp_Y_XYZp.xy / Xp_Y_XYZp.z;\\n\\tfloat Le = 2.0 * log2(Xp_Y_XYZp.y) + 127.0;\\n\\tvResult.w = fract( Le );\\n\\tvResult.z = ( Le - ( floor( vResult.w * 255.0 ) ) / 255.0 ) / 255.0;\\n\\treturn vResult;\\n}\\n\\n// Inverse M matrix, for decoding\\nconst mat3 cLogLuvInverseM = mat3( 6.0014, -2.7008, -1.7996, -1.3320, 3.1029, -5.7721, 0.3008, -1.0882, 5.6268 );\\nvec4 LogLuvToLinear( in vec4 value ) {\\n\\tfloat Le = value.z * 255.0 + value.w;\\n\\tvec3 Xp_Y_XYZp;\\n\\tXp_Y_XYZp.y = exp2( ( Le - 127.0 ) / 2.0 );\\n\\tXp_Y_XYZp.z = Xp_Y_XYZp.y / value.y;\\n\\tXp_Y_XYZp.x = value.x * Xp_Y_XYZp.z;\\n\\tvec3 vRGB = cLogLuvInverseM * Xp_Y_XYZp.rgb;\\n\\treturn vec4( max( vRGB, 0.0 ), 1.0 );\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/envmap_fragment.glsl.js\\nvar envmap_fragment_glsl_default = `\\n#ifdef USE_ENVMAP\\n\\n\\t#ifdef ENV_WORLDPOS\\n\\n\\t\\tvec3 cameraToFrag;\\n\\n\\t\\tif ( isOrthographic ) {\\n\\n\\t\\t\\tcameraToFrag = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\n\\t\\t} else {\\n\\n\\t\\t\\tcameraToFrag = normalize( vWorldPosition - cameraPosition );\\n\\n\\t\\t}\\n\\n\\t\\t// Transforming Normal Vectors with the Inverse Transformation\\n\\t\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\n\\t\\t\\tvec3 reflectVec = reflect( cameraToFrag, worldNormal );\\n\\n\\t\\t#else\\n\\n\\t\\t\\tvec3 reflectVec = refract( cameraToFrag, worldNormal, refractionRatio );\\n\\n\\t\\t#endif\\n\\n\\t#else\\n\\n\\t\\tvec3 reflectVec = vReflect;\\n\\n\\t#endif\\n\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\n\\t\\tvec4 envColor = textureCube( envMap, vec3( flipEnvMap * reflectVec.x, reflectVec.yz ) );\\n\\n\\t\\tenvColor = envMapTexelToLinear( envColor );\\n\\n\\t#elif defined( ENVMAP_TYPE_CUBE_UV )\\n\\n\\t\\tvec4 envColor = textureCubeUV( envMap, reflectVec, 0.0 );\\n\\n\\t#else\\n\\n\\t\\tvec4 envColor = vec4( 0.0 );\\n\\n\\t#endif\\n\\n\\t#ifdef ENVMAP_BLENDING_MULTIPLY\\n\\n\\t\\toutgoingLight = mix( outgoingLight, outgoingLight * envColor.xyz, specularStrength * reflectivity );\\n\\n\\t#elif defined( ENVMAP_BLENDING_MIX )\\n\\n\\t\\toutgoingLight = mix( outgoingLight, envColor.xyz, specularStrength * reflectivity );\\n\\n\\t#elif defined( ENVMAP_BLENDING_ADD )\\n\\n\\t\\toutgoingLight += envColor.xyz * specularStrength * reflectivity;\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/envmap_common_pars_fragment.glsl.js\\nvar envmap_common_pars_fragment_glsl_default = `\\n#ifdef USE_ENVMAP\\n\\n\\tuniform float envMapIntensity;\\n\\tuniform float flipEnvMap;\\n\\tuniform int maxMipLevel;\\n\\n\\t#ifdef ENVMAP_TYPE_CUBE\\n\\t\\tuniform samplerCube envMap;\\n\\t#else\\n\\t\\tuniform sampler2D envMap;\\n\\t#endif\\n\\t\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/envmap_pars_fragment.glsl.js\\nvar envmap_pars_fragment_glsl_default = `\\n#ifdef USE_ENVMAP\\n\\n\\tuniform float reflectivity;\\n\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) || defined( PHONG )\\n\\n\\t\\t#define ENV_WORLDPOS\\n\\n\\t#endif\\n\\n\\t#ifdef ENV_WORLDPOS\\n\\n\\t\\tvarying vec3 vWorldPosition;\\n\\t\\tuniform float refractionRatio;\\n\\t#else\\n\\t\\tvarying vec3 vReflect;\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/envmap_pars_vertex.glsl.js\\nvar envmap_pars_vertex_glsl_default = `\\n#ifdef USE_ENVMAP\\n\\n\\t#if defined( USE_BUMPMAP ) || defined( USE_NORMALMAP ) ||defined( PHONG )\\n\\n\\t\\t#define ENV_WORLDPOS\\n\\n\\t#endif\\n\\n\\t#ifdef ENV_WORLDPOS\\n\\t\\t\\n\\t\\tvarying vec3 vWorldPosition;\\n\\n\\t#else\\n\\n\\t\\tvarying vec3 vReflect;\\n\\t\\tuniform float refractionRatio;\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/envmap_vertex.glsl.js\\nvar envmap_vertex_glsl_default = `\\n#ifdef USE_ENVMAP\\n\\n\\t#ifdef ENV_WORLDPOS\\n\\n\\t\\tvWorldPosition = worldPosition.xyz;\\n\\n\\t#else\\n\\n\\t\\tvec3 cameraToVertex;\\n\\n\\t\\tif ( isOrthographic ) {\\n\\n\\t\\t\\tcameraToVertex = normalize( vec3( - viewMatrix[ 0 ][ 2 ], - viewMatrix[ 1 ][ 2 ], - viewMatrix[ 2 ][ 2 ] ) );\\n\\n\\t\\t} else {\\n\\n\\t\\t\\tcameraToVertex = normalize( worldPosition.xyz - cameraPosition );\\n\\n\\t\\t}\\n\\n\\t\\tvec3 worldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\n\\n\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\n\\t\\t\\tvReflect = reflect( cameraToVertex, worldNormal );\\n\\n\\t\\t#else\\n\\n\\t\\t\\tvReflect = refract( cameraToVertex, worldNormal, refractionRatio );\\n\\n\\t\\t#endif\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/fog_vertex.glsl.js\\nvar fog_vertex_glsl_default = `\\n#ifdef USE_FOG\\n\\n\\tvFogDepth = - mvPosition.z;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/fog_pars_vertex.glsl.js\\nvar fog_pars_vertex_glsl_default = `\\n#ifdef USE_FOG\\n\\n\\tvarying float vFogDepth;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/fog_fragment.glsl.js\\nvar fog_fragment_glsl_default = `\\n#ifdef USE_FOG\\n\\n\\t#ifdef FOG_EXP2\\n\\n\\t\\tfloat fogFactor = 1.0 - exp( - fogDensity * fogDensity * vFogDepth * vFogDepth );\\n\\n\\t#else\\n\\n\\t\\tfloat fogFactor = smoothstep( fogNear, fogFar, vFogDepth );\\n\\n\\t#endif\\n\\n\\tgl_FragColor.rgb = mix( gl_FragColor.rgb, fogColor, fogFactor );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/fog_pars_fragment.glsl.js\\nvar fog_pars_fragment_glsl_default = `\\n#ifdef USE_FOG\\n\\n\\tuniform vec3 fogColor;\\n\\tvarying float vFogDepth;\\n\\n\\t#ifdef FOG_EXP2\\n\\n\\t\\tuniform float fogDensity;\\n\\n\\t#else\\n\\n\\t\\tuniform float fogNear;\\n\\t\\tuniform float fogFar;\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/gradientmap_pars_fragment.glsl.js\\nvar gradientmap_pars_fragment_glsl_default = `\\n\\n#ifdef USE_GRADIENTMAP\\n\\n\\tuniform sampler2D gradientMap;\\n\\n#endif\\n\\nvec3 getGradientIrradiance( vec3 normal, vec3 lightDirection ) {\\n\\n\\t// dotNL will be from -1.0 to 1.0\\n\\tfloat dotNL = dot( normal, lightDirection );\\n\\tvec2 coord = vec2( dotNL * 0.5 + 0.5, 0.0 );\\n\\n\\t#ifdef USE_GRADIENTMAP\\n\\n\\t\\treturn texture2D( gradientMap, coord ).rgb;\\n\\n\\t#else\\n\\n\\t\\treturn ( coord.x < 0.7 ) ? vec3( 0.7 ) : vec3( 1.0 );\\n\\n\\t#endif\\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lightmap_fragment.glsl.js\\nvar lightmap_fragment_glsl_default = `\\n#ifdef USE_LIGHTMAP\\n\\n\\tvec4 lightMapTexel = texture2D( lightMap, vUv2 );\\n\\tvec3 lightMapIrradiance = lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\n\\n\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\n\\n\\t\\tlightMapIrradiance *= PI;\\n\\n\\t#endif\\n\\n\\treflectedLight.indirectDiffuse += lightMapIrradiance;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lightmap_pars_fragment.glsl.js\\nvar lightmap_pars_fragment_glsl_default = `\\n#ifdef USE_LIGHTMAP\\n\\n\\tuniform sampler2D lightMap;\\n\\tuniform float lightMapIntensity;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_lambert_vertex.glsl.js\\nvar lights_lambert_vertex_glsl_default = `\\nvec3 diffuse = vec3( 1.0 );\\n\\nGeometricContext geometry;\\ngeometry.position = mvPosition.xyz;\\ngeometry.normal = normalize( transformedNormal );\\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( -mvPosition.xyz );\\n\\nGeometricContext backGeometry;\\nbackGeometry.position = geometry.position;\\nbackGeometry.normal = -geometry.normal;\\nbackGeometry.viewDir = geometry.viewDir;\\n\\nvLightFront = vec3( 0.0 );\\nvIndirectFront = vec3( 0.0 );\\n#ifdef DOUBLE_SIDED\\n\\tvLightBack = vec3( 0.0 );\\n\\tvIndirectBack = vec3( 0.0 );\\n#endif\\n\\nIncidentLight directLight;\\nfloat dotNL;\\nvec3 directLightColor_Diffuse;\\n\\nvIndirectFront += getAmbientLightIrradiance( ambientLightColor );\\n\\nvIndirectFront += getLightProbeIrradiance( lightProbe, geometry.normal );\\n\\n#ifdef DOUBLE_SIDED\\n\\n\\tvIndirectBack += getAmbientLightIrradiance( ambientLightColor );\\n\\n\\tvIndirectBack += getLightProbeIrradiance( lightProbe, backGeometry.normal );\\n\\n#endif\\n\\n#if NUM_POINT_LIGHTS > 0\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\n\\n\\t\\tgetPointLightInfo( pointLights[ i ], geometry, directLight );\\n\\n\\t\\tdotNL = dot( geometry.normal, directLight.direction );\\n\\t\\tdirectLightColor_Diffuse = directLight.color;\\n\\n\\t\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\n\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\n\\t\\t\\tvLightBack += saturate( - dotNL ) * directLightColor_Diffuse;\\n\\n\\t\\t#endif\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n#endif\\n\\n#if NUM_SPOT_LIGHTS > 0\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\n\\n\\t\\tgetSpotLightInfo( spotLights[ i ], geometry, directLight );\\n\\n\\t\\tdotNL = dot( geometry.normal, directLight.direction );\\n\\t\\tdirectLightColor_Diffuse = directLight.color;\\n\\n\\t\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\n\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\n\\t\\t\\tvLightBack += saturate( - dotNL ) * directLightColor_Diffuse;\\n\\n\\t\\t#endif\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n#endif\\n\\n#if NUM_DIR_LIGHTS > 0\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\n\\n\\t\\tgetDirectionalLightInfo( directionalLights[ i ], geometry, directLight );\\n\\n\\t\\tdotNL = dot( geometry.normal, directLight.direction );\\n\\t\\tdirectLightColor_Diffuse = directLight.color;\\n\\n\\t\\tvLightFront += saturate( dotNL ) * directLightColor_Diffuse;\\n\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\n\\t\\t\\tvLightBack += saturate( - dotNL ) * directLightColor_Diffuse;\\n\\n\\t\\t#endif\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n#endif\\n\\n#if NUM_HEMI_LIGHTS > 0\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\n\\n\\t\\tvIndirectFront += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry.normal );\\n\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\n\\t\\t\\tvIndirectBack += getHemisphereLightIrradiance( hemisphereLights[ i ], backGeometry.normal );\\n\\n\\t\\t#endif\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_pars_begin.glsl.js\\nvar lights_pars_begin_glsl_default = `\\nuniform bool receiveShadow;\\nuniform vec3 ambientLightColor;\\nuniform vec3 lightProbe[ 9 ];\\n\\n// get the irradiance (radiance convolved with cosine lobe) at the point 'normal' on the unit sphere\\n// source: https://graphics.stanford.edu/papers/envmap/envmap.pdf\\nvec3 shGetIrradianceAt( in vec3 normal, in vec3 shCoefficients[ 9 ] ) {\\n\\n\\t// normal is assumed to have unit length\\n\\n\\tfloat x = normal.x, y = normal.y, z = normal.z;\\n\\n\\t// band 0\\n\\tvec3 result = shCoefficients[ 0 ] * 0.886227;\\n\\n\\t// band 1\\n\\tresult += shCoefficients[ 1 ] * 2.0 * 0.511664 * y;\\n\\tresult += shCoefficients[ 2 ] * 2.0 * 0.511664 * z;\\n\\tresult += shCoefficients[ 3 ] * 2.0 * 0.511664 * x;\\n\\n\\t// band 2\\n\\tresult += shCoefficients[ 4 ] * 2.0 * 0.429043 * x * y;\\n\\tresult += shCoefficients[ 5 ] * 2.0 * 0.429043 * y * z;\\n\\tresult += shCoefficients[ 6 ] * ( 0.743125 * z * z - 0.247708 );\\n\\tresult += shCoefficients[ 7 ] * 2.0 * 0.429043 * x * z;\\n\\tresult += shCoefficients[ 8 ] * 0.429043 * ( x * x - y * y );\\n\\n\\treturn result;\\n\\n}\\n\\nvec3 getLightProbeIrradiance( const in vec3 lightProbe[ 9 ], const in vec3 normal ) {\\n\\n\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\n\\tvec3 irradiance = shGetIrradianceAt( worldNormal, lightProbe );\\n\\n\\treturn irradiance;\\n\\n}\\n\\nvec3 getAmbientLightIrradiance( const in vec3 ambientLightColor ) {\\n\\n\\tvec3 irradiance = ambientLightColor;\\n\\n\\treturn irradiance;\\n\\n}\\n\\nfloat getDistanceAttenuation( const in float lightDistance, const in float cutoffDistance, const in float decayExponent ) {\\n\\n\\t#if defined ( PHYSICALLY_CORRECT_LIGHTS )\\n\\n\\t\\t// based upon Frostbite 3 Moving to Physically-based Rendering\\n\\t\\t// page 32, equation 26: E[window1]\\n\\t\\t// https://seblagarde.files.wordpress.com/2015/07/course_notes_moving_frostbite_to_pbr_v32.pdf\\n\\t\\tfloat distanceFalloff = 1.0 / max( pow( lightDistance, decayExponent ), 0.01 );\\n\\n\\t\\tif ( cutoffDistance > 0.0 ) {\\n\\n\\t\\t\\tdistanceFalloff *= pow2( saturate( 1.0 - pow4( lightDistance / cutoffDistance ) ) );\\n\\n\\t\\t}\\n\\n\\t\\treturn distanceFalloff;\\n\\n\\t#else\\n\\n\\t\\tif ( cutoffDistance > 0.0 && decayExponent > 0.0 ) {\\n\\n\\t\\t\\treturn pow( saturate( - lightDistance / cutoffDistance + 1.0 ), decayExponent );\\n\\n\\t\\t}\\n\\n\\t\\treturn 1.0;\\n\\n\\t#endif\\n\\n}\\n\\nfloat getSpotAttenuation( const in float coneCosine, const in float penumbraCosine, const in float angleCosine ) {\\n\\n\\treturn smoothstep( coneCosine, penumbraCosine, angleCosine );\\n\\n}\\n\\n#if NUM_DIR_LIGHTS > 0\\n\\n\\tstruct DirectionalLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t};\\n\\n\\tuniform DirectionalLight directionalLights[ NUM_DIR_LIGHTS ];\\n\\n\\tvoid getDirectionalLightInfo( const in DirectionalLight directionalLight, const in GeometricContext geometry, out IncidentLight light ) {\\n\\n\\t\\tlight.color = directionalLight.color;\\n\\t\\tlight.direction = directionalLight.direction;\\n\\t\\tlight.visible = true;\\n\\n\\t}\\n\\n#endif\\n\\n\\n#if NUM_POINT_LIGHTS > 0\\n\\n\\tstruct PointLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t};\\n\\n\\tuniform PointLight pointLights[ NUM_POINT_LIGHTS ];\\n\\n\\t// light is an out parameter as having it as a return value caused compiler errors on some devices\\n\\tvoid getPointLightInfo( const in PointLight pointLight, const in GeometricContext geometry, out IncidentLight light ) {\\n\\n\\t\\tvec3 lVector = pointLight.position - geometry.position;\\n\\n\\t\\tlight.direction = normalize( lVector );\\n\\n\\t\\tfloat lightDistance = length( lVector );\\n\\n\\t\\tlight.color = pointLight.color;\\n\\t\\tlight.color *= getDistanceAttenuation( lightDistance, pointLight.distance, pointLight.decay );\\n\\t\\tlight.visible = ( light.color != vec3( 0.0 ) );\\n\\n\\t}\\n\\n#endif\\n\\n\\n#if NUM_SPOT_LIGHTS > 0\\n\\n\\tstruct SpotLight {\\n\\t\\tvec3 position;\\n\\t\\tvec3 direction;\\n\\t\\tvec3 color;\\n\\t\\tfloat distance;\\n\\t\\tfloat decay;\\n\\t\\tfloat coneCos;\\n\\t\\tfloat penumbraCos;\\n\\t};\\n\\n\\tuniform SpotLight spotLights[ NUM_SPOT_LIGHTS ];\\n\\n\\t// light is an out parameter as having it as a return value caused compiler errors on some devices\\n\\tvoid getSpotLightInfo( const in SpotLight spotLight, const in GeometricContext geometry, out IncidentLight light ) {\\n\\n\\t\\tvec3 lVector = spotLight.position - geometry.position;\\n\\n\\t\\tlight.direction = normalize( lVector );\\n\\n\\t\\tfloat angleCos = dot( light.direction, spotLight.direction );\\n\\n\\t\\tfloat spotAttenuation = getSpotAttenuation( spotLight.coneCos, spotLight.penumbraCos, angleCos );\\n\\n\\t\\tif ( spotAttenuation > 0.0 ) {\\n\\n\\t\\t\\tfloat lightDistance = length( lVector );\\n\\n\\t\\t\\tlight.color = spotLight.color * spotAttenuation;\\n\\t\\t\\tlight.color *= getDistanceAttenuation( lightDistance, spotLight.distance, spotLight.decay );\\n\\t\\t\\tlight.visible = ( light.color != vec3( 0.0 ) );\\n\\n\\t\\t} else {\\n\\n\\t\\t\\tlight.color = vec3( 0.0 );\\n\\t\\t\\tlight.visible = false;\\n\\n\\t\\t}\\n\\n\\t}\\n\\n#endif\\n\\n\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\n\\tstruct RectAreaLight {\\n\\t\\tvec3 color;\\n\\t\\tvec3 position;\\n\\t\\tvec3 halfWidth;\\n\\t\\tvec3 halfHeight;\\n\\t};\\n\\n\\t// Pre-computed values of LinearTransformedCosine approximation of BRDF\\n\\t// BRDF approximation Texture is 64x64\\n\\tuniform sampler2D ltc_1; // RGBA Float\\n\\tuniform sampler2D ltc_2; // RGBA Float\\n\\n\\tuniform RectAreaLight rectAreaLights[ NUM_RECT_AREA_LIGHTS ];\\n\\n#endif\\n\\n\\n#if NUM_HEMI_LIGHTS > 0\\n\\n\\tstruct HemisphereLight {\\n\\t\\tvec3 direction;\\n\\t\\tvec3 skyColor;\\n\\t\\tvec3 groundColor;\\n\\t};\\n\\n\\tuniform HemisphereLight hemisphereLights[ NUM_HEMI_LIGHTS ];\\n\\n\\tvec3 getHemisphereLightIrradiance( const in HemisphereLight hemiLight, const in vec3 normal ) {\\n\\n\\t\\tfloat dotNL = dot( normal, hemiLight.direction );\\n\\t\\tfloat hemiDiffuseWeight = 0.5 * dotNL + 0.5;\\n\\n\\t\\tvec3 irradiance = mix( hemiLight.groundColor, hemiLight.skyColor, hemiDiffuseWeight );\\n\\n\\t\\treturn irradiance;\\n\\n\\t}\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/envmap_physical_pars_fragment.glsl.js\\nvar envmap_physical_pars_fragment_glsl_default = `\\n#if defined( USE_ENVMAP )\\n\\n\\t#ifdef ENVMAP_MODE_REFRACTION\\n\\n\\t\\tuniform float refractionRatio;\\n\\n\\t#endif\\n\\n\\tvec3 getIBLIrradiance( const in vec3 normal ) {\\n\\n\\t\\t#if defined( ENVMAP_TYPE_CUBE_UV )\\n\\n\\t\\t\\tvec3 worldNormal = inverseTransformDirection( normal, viewMatrix );\\n\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, worldNormal, 1.0 );\\n\\n\\t\\t\\treturn PI * envMapColor.rgb * envMapIntensity;\\n\\n\\t\\t#else\\n\\n\\t\\t\\treturn vec3( 0.0 );\\n\\n\\t\\t#endif\\n\\n\\t}\\n\\n\\tvec3 getIBLRadiance( const in vec3 viewDir, const in vec3 normal, const in float roughness ) {\\n\\n\\t\\t#if defined( ENVMAP_TYPE_CUBE_UV )\\n\\n\\t\\t\\tvec3 reflectVec;\\n\\n\\t\\t\\t#ifdef ENVMAP_MODE_REFLECTION\\n\\n\\t\\t\\t\\treflectVec = reflect( - viewDir, normal );\\n\\n\\t\\t\\t\\t// Mixing the reflection with the normal is more accurate and keeps rough objects from gathering light from behind their tangent plane.\\n\\t\\t\\t\\treflectVec = normalize( mix( reflectVec, normal, roughness * roughness) );\\n\\n\\t\\t\\t#else\\n\\n\\t\\t\\t\\treflectVec = refract( - viewDir, normal, refractionRatio );\\n\\n\\t\\t\\t#endif\\n\\n\\t\\t\\treflectVec = inverseTransformDirection( reflectVec, viewMatrix );\\n\\n\\t\\t\\tvec4 envMapColor = textureCubeUV( envMap, reflectVec, roughness );\\n\\n\\t\\t\\treturn envMapColor.rgb * envMapIntensity;\\n\\n\\t\\t#else\\n\\n\\t\\t\\treturn vec3( 0.0 );\\n\\n\\t\\t#endif\\n\\n\\t}\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_toon_fragment.glsl.js\\nvar lights_toon_fragment_glsl_default = `\\nToonMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_toon_pars_fragment.glsl.js\\nvar lights_toon_pars_fragment_glsl_default = `\\nvarying vec3 vViewPosition;\\n\\nstruct ToonMaterial {\\n\\n\\tvec3 diffuseColor;\\n\\n};\\n\\nvoid RE_Direct_Toon( const in IncidentLight directLight, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\n\\tvec3 irradiance = getGradientIrradiance( geometry.normal, directLight.direction ) * directLight.color;\\n\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n\\n}\\n\\nvoid RE_IndirectDiffuse_Toon( const in vec3 irradiance, const in GeometricContext geometry, const in ToonMaterial material, inout ReflectedLight reflectedLight ) {\\n\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n\\n}\\n\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Toon\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Toon\\n\\n#define Material_LightProbeLOD( material )\\t(0)\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_phong_fragment.glsl.js\\nvar lights_phong_fragment_glsl_default = `\\nBlinnPhongMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb;\\nmaterial.specularColor = specular;\\nmaterial.specularShininess = shininess;\\nmaterial.specularStrength = specularStrength;\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_phong_pars_fragment.glsl.js\\nvar lights_phong_pars_fragment_glsl_default = `\\nvarying vec3 vViewPosition;\\n\\nstruct BlinnPhongMaterial {\\n\\n\\tvec3 diffuseColor;\\n\\tvec3 specularColor;\\n\\tfloat specularShininess;\\n\\tfloat specularStrength;\\n\\n};\\n\\nvoid RE_Direct_BlinnPhong( const in IncidentLight directLight, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\n\\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n\\n\\treflectedLight.directSpecular += irradiance * BRDF_BlinnPhong( directLight.direction, geometry.viewDir, geometry.normal, material.specularColor, material.specularShininess ) * material.specularStrength;\\n\\n}\\n\\nvoid RE_IndirectDiffuse_BlinnPhong( const in vec3 irradiance, const in GeometricContext geometry, const in BlinnPhongMaterial material, inout ReflectedLight reflectedLight ) {\\n\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n\\n}\\n\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_BlinnPhong\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_BlinnPhong\\n\\n#define Material_LightProbeLOD( material )\\t(0)\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_physical_fragment.glsl.js\\nvar lights_physical_fragment_glsl_default = `\\nPhysicalMaterial material;\\nmaterial.diffuseColor = diffuseColor.rgb * ( 1.0 - metalnessFactor );\\n\\nvec3 dxy = max( abs( dFdx( geometryNormal ) ), abs( dFdy( geometryNormal ) ) );\\nfloat geometryRoughness = max( max( dxy.x, dxy.y ), dxy.z );\\n\\nmaterial.roughness = max( roughnessFactor, 0.0525 );// 0.0525 corresponds to the base mip of a 256 cubemap.\\nmaterial.roughness += geometryRoughness;\\nmaterial.roughness = min( material.roughness, 1.0 );\\n\\n#ifdef IOR\\n\\n\\t#ifdef SPECULAR\\n\\n\\t\\tfloat specularIntensityFactor = specularIntensity;\\n\\t\\tvec3 specularTintFactor = specularTint;\\n\\n\\t\\t#ifdef USE_SPECULARINTENSITYMAP\\n\\n\\t\\t\\tspecularIntensityFactor *= texture2D( specularIntensityMap, vUv ).a;\\n\\n\\t\\t#endif\\n\\n\\t\\t#ifdef USE_SPECULARTINTMAP\\n\\n\\t\\t\\tspecularTintFactor *= specularTintMapTexelToLinear( texture2D( specularTintMap, vUv ) ).rgb;\\n\\n\\t\\t#endif\\n\\n\\t\\tmaterial.specularF90 = mix( specularIntensityFactor, 1.0, metalnessFactor );\\n\\n\\t#else\\n\\n\\t\\tfloat specularIntensityFactor = 1.0;\\n\\t\\tvec3 specularTintFactor = vec3( 1.0 );\\n\\t\\tmaterial.specularF90 = 1.0;\\n\\n\\t#endif\\n\\n\\tmaterial.specularColor = mix( min( pow2( ( ior - 1.0 ) / ( ior + 1.0 ) ) * specularTintFactor, vec3( 1.0 ) ) * specularIntensityFactor, diffuseColor.rgb, metalnessFactor );\\n\\n#else\\n\\n\\tmaterial.specularColor = mix( vec3( 0.04 ), diffuseColor.rgb, metalnessFactor );\\n\\tmaterial.specularF90 = 1.0;\\n\\n#endif\\n\\n#ifdef USE_CLEARCOAT\\n\\n\\tmaterial.clearcoat = clearcoat;\\n\\tmaterial.clearcoatRoughness = clearcoatRoughness;\\n\\tmaterial.clearcoatF0 = vec3( 0.04 );\\n\\tmaterial.clearcoatF90 = 1.0;\\n\\n\\t#ifdef USE_CLEARCOATMAP\\n\\n\\t\\tmaterial.clearcoat *= texture2D( clearcoatMap, vUv ).x;\\n\\n\\t#endif\\n\\n\\t#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\n\\t\\tmaterial.clearcoatRoughness *= texture2D( clearcoatRoughnessMap, vUv ).y;\\n\\n\\t#endif\\n\\n\\tmaterial.clearcoat = saturate( material.clearcoat ); // Burley clearcoat model\\n\\tmaterial.clearcoatRoughness = max( material.clearcoatRoughness, 0.0525 );\\n\\tmaterial.clearcoatRoughness += geometryRoughness;\\n\\tmaterial.clearcoatRoughness = min( material.clearcoatRoughness, 1.0 );\\n\\n#endif\\n\\n#ifdef USE_SHEEN\\n\\n\\tmaterial.sheenTint = sheenTint;\\n\\tmaterial.sheenRoughness = clamp( sheenRoughness, 0.07, 1.0 );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_physical_pars_fragment.glsl.js\\nvar lights_physical_pars_fragment_glsl_default = `\\nstruct PhysicalMaterial {\\n\\n\\tvec3 diffuseColor;\\n\\tfloat roughness;\\n\\tvec3 specularColor;\\n\\tfloat specularF90;\\n\\n\\t#ifdef USE_CLEARCOAT\\n\\t\\tfloat clearcoat;\\n\\t\\tfloat clearcoatRoughness;\\n\\t\\tvec3 clearcoatF0;\\n\\t\\tfloat clearcoatF90;\\n\\t#endif\\n\\n\\t#ifdef USE_SHEEN\\n\\t\\tvec3 sheenTint;\\n\\t\\tfloat sheenRoughness;\\n\\t#endif\\n\\n};\\n\\n// temporary\\nvec3 clearcoatSpecular = vec3( 0.0 );\\n\\n// Analytical approximation of the DFG LUT, one half of the\\n// split-sum approximation used in indirect specular lighting.\\n// via 'environmentBRDF' from \\\\\\\"Physically Based Shading on Mobile\\\\\\\"\\n// https://www.unrealengine.com/blog/physically-based-shading-on-mobile\\nvec2 DFGApprox( const in vec3 normal, const in vec3 viewDir, const in float roughness ) {\\n\\n\\tfloat dotNV = saturate( dot( normal, viewDir ) );\\n\\n\\tconst vec4 c0 = vec4( - 1, - 0.0275, - 0.572, 0.022 );\\n\\n\\tconst vec4 c1 = vec4( 1, 0.0425, 1.04, - 0.04 );\\n\\n\\tvec4 r = roughness * c0 + c1;\\n\\n\\tfloat a004 = min( r.x * r.x, exp2( - 9.28 * dotNV ) ) * r.x + r.y;\\n\\n\\tvec2 fab = vec2( - 1.04, 1.04 ) * a004 + r.zw;\\n\\n\\treturn fab;\\n\\n}\\n\\nvec3 EnvironmentBRDF( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness ) {\\n\\n\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\n\\n\\treturn specularColor * fab.x + specularF90 * fab.y;\\n\\n}\\n\\n// Fdez-Ag\\\\xFCera's \\\\\\\"Multiple-Scattering Microfacet Model for Real-Time Image Based Lighting\\\\\\\"\\n// Approximates multiscattering in order to preserve energy.\\n// http://www.jcgt.org/published/0008/01/03/\\nvoid computeMultiscattering( const in vec3 normal, const in vec3 viewDir, const in vec3 specularColor, const in float specularF90, const in float roughness, inout vec3 singleScatter, inout vec3 multiScatter ) {\\n\\n\\tvec2 fab = DFGApprox( normal, viewDir, roughness );\\n\\n\\tvec3 FssEss = specularColor * fab.x + specularF90 * fab.y;\\n\\n\\tfloat Ess = fab.x + fab.y;\\n\\tfloat Ems = 1.0 - Ess;\\n\\n\\tvec3 Favg = specularColor + ( 1.0 - specularColor ) * 0.047619; // 1/21\\n\\tvec3 Fms = FssEss * Favg / ( 1.0 - Ems * Favg );\\n\\n\\tsingleScatter += FssEss;\\n\\tmultiScatter += Fms * Ems;\\n\\n}\\n\\n#if NUM_RECT_AREA_LIGHTS > 0\\n\\n\\tvoid RE_Direct_RectArea_Physical( const in RectAreaLight rectAreaLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\n\\t\\tvec3 normal = geometry.normal;\\n\\t\\tvec3 viewDir = geometry.viewDir;\\n\\t\\tvec3 position = geometry.position;\\n\\t\\tvec3 lightPos = rectAreaLight.position;\\n\\t\\tvec3 halfWidth = rectAreaLight.halfWidth;\\n\\t\\tvec3 halfHeight = rectAreaLight.halfHeight;\\n\\t\\tvec3 lightColor = rectAreaLight.color;\\n\\t\\tfloat roughness = material.roughness;\\n\\n\\t\\tvec3 rectCoords[ 4 ];\\n\\t\\trectCoords[ 0 ] = lightPos + halfWidth - halfHeight; // counterclockwise; light shines in local neg z direction\\n\\t\\trectCoords[ 1 ] = lightPos - halfWidth - halfHeight;\\n\\t\\trectCoords[ 2 ] = lightPos - halfWidth + halfHeight;\\n\\t\\trectCoords[ 3 ] = lightPos + halfWidth + halfHeight;\\n\\n\\t\\tvec2 uv = LTC_Uv( normal, viewDir, roughness );\\n\\n\\t\\tvec4 t1 = texture2D( ltc_1, uv );\\n\\t\\tvec4 t2 = texture2D( ltc_2, uv );\\n\\n\\t\\tmat3 mInv = mat3(\\n\\t\\t\\tvec3( t1.x, 0, t1.y ),\\n\\t\\t\\tvec3( 0, 1, 0 ),\\n\\t\\t\\tvec3( t1.z, 0, t1.w )\\n\\t\\t);\\n\\n\\t\\t// LTC Fresnel Approximation by Stephen Hill\\n\\t\\t// http://blog.selfshadow.com/publications/s2016-advances/s2016_ltc_fresnel.pdf\\n\\t\\tvec3 fresnel = ( material.specularColor * t2.x + ( vec3( 1.0 ) - material.specularColor ) * t2.y );\\n\\n\\t\\treflectedLight.directSpecular += lightColor * fresnel * LTC_Evaluate( normal, viewDir, position, mInv, rectCoords );\\n\\n\\t\\treflectedLight.directDiffuse += lightColor * material.diffuseColor * LTC_Evaluate( normal, viewDir, position, mat3( 1.0 ), rectCoords );\\n\\n\\t}\\n\\n#endif\\n\\nvoid RE_Direct_Physical( const in IncidentLight directLight, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\n\\tfloat dotNL = saturate( dot( geometry.normal, directLight.direction ) );\\n\\n\\tvec3 irradiance = dotNL * directLight.color;\\n\\n\\t#ifdef USE_CLEARCOAT\\n\\n\\t\\tfloat dotNLcc = saturate( dot( geometry.clearcoatNormal, directLight.direction ) );\\n\\n\\t\\tvec3 ccIrradiance = dotNLcc * directLight.color;\\n\\n\\t\\tclearcoatSpecular += ccIrradiance * BRDF_GGX( directLight.direction, geometry.viewDir, geometry.clearcoatNormal, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );\\n\\n\\t#endif\\n\\n\\t#ifdef USE_SHEEN\\n\\n\\t\\treflectedLight.directSpecular += irradiance * BRDF_Sheen( directLight.direction, geometry.viewDir, geometry.normal, material.sheenTint, material.sheenRoughness );\\n\\n\\t#endif\\n\\n\\treflectedLight.directSpecular += irradiance * BRDF_GGX( directLight.direction, geometry.viewDir, geometry.normal, material.specularColor, material.specularF90, material.roughness );\\n\\n\\n\\treflectedLight.directDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n}\\n\\nvoid RE_IndirectDiffuse_Physical( const in vec3 irradiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight ) {\\n\\n\\treflectedLight.indirectDiffuse += irradiance * BRDF_Lambert( material.diffuseColor );\\n\\n}\\n\\nvoid RE_IndirectSpecular_Physical( const in vec3 radiance, const in vec3 irradiance, const in vec3 clearcoatRadiance, const in GeometricContext geometry, const in PhysicalMaterial material, inout ReflectedLight reflectedLight) {\\n\\n\\t#ifdef USE_CLEARCOAT\\n\\n\\t\\tclearcoatSpecular += clearcoatRadiance * EnvironmentBRDF( geometry.clearcoatNormal, geometry.viewDir, material.clearcoatF0, material.clearcoatF90, material.clearcoatRoughness );\\n\\n\\t#endif\\n\\n\\t// Both indirect specular and indirect diffuse light accumulate here\\n\\n\\tvec3 singleScattering = vec3( 0.0 );\\n\\tvec3 multiScattering = vec3( 0.0 );\\n\\tvec3 cosineWeightedIrradiance = irradiance * RECIPROCAL_PI;\\n\\n\\tcomputeMultiscattering( geometry.normal, geometry.viewDir, material.specularColor, material.specularF90, material.roughness, singleScattering, multiScattering );\\n\\n\\tvec3 diffuse = material.diffuseColor * ( 1.0 - ( singleScattering + multiScattering ) );\\n\\n\\treflectedLight.indirectSpecular += radiance * singleScattering;\\n\\treflectedLight.indirectSpecular += multiScattering * cosineWeightedIrradiance;\\n\\n\\treflectedLight.indirectDiffuse += diffuse * cosineWeightedIrradiance;\\n\\n}\\n\\n#define RE_Direct\\t\\t\\t\\tRE_Direct_Physical\\n#define RE_Direct_RectArea\\t\\tRE_Direct_RectArea_Physical\\n#define RE_IndirectDiffuse\\t\\tRE_IndirectDiffuse_Physical\\n#define RE_IndirectSpecular\\t\\tRE_IndirectSpecular_Physical\\n\\n// ref: https://seblagarde.files.wordpress.com/2015/07/course_notes_moving_frostbite_to_pbr_v32.pdf\\nfloat computeSpecularOcclusion( const in float dotNV, const in float ambientOcclusion, const in float roughness ) {\\n\\n\\treturn saturate( pow( dotNV + ambientOcclusion, exp2( - 16.0 * roughness - 1.0 ) ) - 1.0 + ambientOcclusion );\\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_fragment_begin.glsl.js\\nvar lights_fragment_begin_glsl_default = `\\n/**\\n * This is a template that can be used to light a material, it uses pluggable\\n * RenderEquations (RE)for specific lighting scenarios.\\n *\\n * Instructions for use:\\n * - Ensure that both RE_Direct, RE_IndirectDiffuse and RE_IndirectSpecular are defined\\n * - If you have defined an RE_IndirectSpecular, you need to also provide a Material_LightProbeLOD. <---- ???\\n * - Create a material parameter that is to be passed as the third parameter to your lighting functions.\\n *\\n * TODO:\\n * - Add area light support.\\n * - Add sphere light support.\\n * - Add diffuse light probe (irradiance cubemap) support.\\n */\\n\\nGeometricContext geometry;\\n\\ngeometry.position = - vViewPosition;\\ngeometry.normal = normal;\\ngeometry.viewDir = ( isOrthographic ) ? vec3( 0, 0, 1 ) : normalize( vViewPosition );\\n\\n#ifdef USE_CLEARCOAT\\n\\n\\tgeometry.clearcoatNormal = clearcoatNormal;\\n\\n#endif\\n\\nIncidentLight directLight;\\n\\n#if ( NUM_POINT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\n\\tPointLight pointLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_POINT_LIGHT_SHADOWS > 0\\n\\tPointLightShadow pointLightShadow;\\n\\t#endif\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHTS; i ++ ) {\\n\\n\\t\\tpointLight = pointLights[ i ];\\n\\n\\t\\tgetPointLightInfo( pointLight, geometry, directLight );\\n\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_POINT_LIGHT_SHADOWS )\\n\\t\\tpointLightShadow = pointLightShadows[ i ];\\n\\t\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getPointShadow( pointShadowMap[ i ], pointLightShadow.shadowMapSize, pointLightShadow.shadowBias, pointLightShadow.shadowRadius, vPointShadowCoord[ i ], pointLightShadow.shadowCameraNear, pointLightShadow.shadowCameraFar ) : 1.0;\\n\\t\\t#endif\\n\\n\\t\\tRE_Direct( directLight, geometry, material, reflectedLight );\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n#endif\\n\\n#if ( NUM_SPOT_LIGHTS > 0 ) && defined( RE_Direct )\\n\\n\\tSpotLight spotLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_SPOT_LIGHT_SHADOWS > 0\\n\\tSpotLightShadow spotLightShadow;\\n\\t#endif\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHTS; i ++ ) {\\n\\n\\t\\tspotLight = spotLights[ i ];\\n\\n\\t\\tgetSpotLightInfo( spotLight, geometry, directLight );\\n\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_SPOT_LIGHT_SHADOWS )\\n\\t\\tspotLightShadow = spotLightShadows[ i ];\\n\\t\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( spotShadowMap[ i ], spotLightShadow.shadowMapSize, spotLightShadow.shadowBias, spotLightShadow.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\n\\t\\tRE_Direct( directLight, geometry, material, reflectedLight );\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n#endif\\n\\n#if ( NUM_DIR_LIGHTS > 0 ) && defined( RE_Direct )\\n\\n\\tDirectionalLight directionalLight;\\n\\t#if defined( USE_SHADOWMAP ) && NUM_DIR_LIGHT_SHADOWS > 0\\n\\tDirectionalLightShadow directionalLightShadow;\\n\\t#endif\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHTS; i ++ ) {\\n\\n\\t\\tdirectionalLight = directionalLights[ i ];\\n\\n\\t\\tgetDirectionalLightInfo( directionalLight, geometry, directLight );\\n\\n\\t\\t#if defined( USE_SHADOWMAP ) && ( UNROLLED_LOOP_INDEX < NUM_DIR_LIGHT_SHADOWS )\\n\\t\\tdirectionalLightShadow = directionalLightShadows[ i ];\\n\\t\\tdirectLight.color *= all( bvec2( directLight.visible, receiveShadow ) ) ? getShadow( directionalShadowMap[ i ], directionalLightShadow.shadowMapSize, directionalLightShadow.shadowBias, directionalLightShadow.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\t\\t#endif\\n\\n\\t\\tRE_Direct( directLight, geometry, material, reflectedLight );\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n#endif\\n\\n#if ( NUM_RECT_AREA_LIGHTS > 0 ) && defined( RE_Direct_RectArea )\\n\\n\\tRectAreaLight rectAreaLight;\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_RECT_AREA_LIGHTS; i ++ ) {\\n\\n\\t\\trectAreaLight = rectAreaLights[ i ];\\n\\t\\tRE_Direct_RectArea( rectAreaLight, geometry, material, reflectedLight );\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n#endif\\n\\n#if defined( RE_IndirectDiffuse )\\n\\n\\tvec3 iblIrradiance = vec3( 0.0 );\\n\\n\\tvec3 irradiance = getAmbientLightIrradiance( ambientLightColor );\\n\\n\\tirradiance += getLightProbeIrradiance( lightProbe, geometry.normal );\\n\\n\\t#if ( NUM_HEMI_LIGHTS > 0 )\\n\\n\\t\\t#pragma unroll_loop_start\\n\\t\\tfor ( int i = 0; i < NUM_HEMI_LIGHTS; i ++ ) {\\n\\n\\t\\t\\tirradiance += getHemisphereLightIrradiance( hemisphereLights[ i ], geometry.normal );\\n\\n\\t\\t}\\n\\t\\t#pragma unroll_loop_end\\n\\n\\t#endif\\n\\n#endif\\n\\n#if defined( RE_IndirectSpecular )\\n\\n\\tvec3 radiance = vec3( 0.0 );\\n\\tvec3 clearcoatRadiance = vec3( 0.0 );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_fragment_maps.glsl.js\\nvar lights_fragment_maps_glsl_default = `\\n#if defined( RE_IndirectDiffuse )\\n\\n\\t#ifdef USE_LIGHTMAP\\n\\n\\t\\tvec4 lightMapTexel = texture2D( lightMap, vUv2 );\\n\\t\\tvec3 lightMapIrradiance = lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\n\\n\\t\\t#ifndef PHYSICALLY_CORRECT_LIGHTS\\n\\n\\t\\t\\tlightMapIrradiance *= PI;\\n\\n\\t\\t#endif\\n\\n\\t\\tirradiance += lightMapIrradiance;\\n\\n\\t#endif\\n\\n\\t#if defined( USE_ENVMAP ) && defined( STANDARD ) && defined( ENVMAP_TYPE_CUBE_UV )\\n\\n\\t\\tiblIrradiance += getIBLIrradiance( geometry.normal );\\n\\n\\t#endif\\n\\n#endif\\n\\n#if defined( USE_ENVMAP ) && defined( RE_IndirectSpecular )\\n\\n\\tradiance += getIBLRadiance( geometry.viewDir, geometry.normal, material.roughness );\\n\\n\\t#ifdef USE_CLEARCOAT\\n\\n\\t\\tclearcoatRadiance += getIBLRadiance( geometry.viewDir, geometry.clearcoatNormal, material.clearcoatRoughness );\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/lights_fragment_end.glsl.js\\nvar lights_fragment_end_glsl_default = `\\n#if defined( RE_IndirectDiffuse )\\n\\n\\tRE_IndirectDiffuse( irradiance, geometry, material, reflectedLight );\\n\\n#endif\\n\\n#if defined( RE_IndirectSpecular )\\n\\n\\tRE_IndirectSpecular( radiance, iblIrradiance, clearcoatRadiance, geometry, material, reflectedLight );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/logdepthbuf_fragment.glsl.js\\nvar logdepthbuf_fragment_glsl_default = `\\n#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\n\\t// Doing a strict comparison with == 1.0 can cause noise artifacts\\n\\t// on some platforms. See issue #17623.\\n\\tgl_FragDepthEXT = vIsPerspective == 0.0 ? gl_FragCoord.z : log2( vFragDepth ) * logDepthBufFC * 0.5;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/logdepthbuf_pars_fragment.glsl.js\\nvar logdepthbuf_pars_fragment_glsl_default = `\\n#if defined( USE_LOGDEPTHBUF ) && defined( USE_LOGDEPTHBUF_EXT )\\n\\n\\tuniform float logDepthBufFC;\\n\\tvarying float vFragDepth;\\n\\tvarying float vIsPerspective;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/logdepthbuf_pars_vertex.glsl.js\\nvar logdepthbuf_pars_vertex_glsl_default = `\\n#ifdef USE_LOGDEPTHBUF\\n\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\n\\t\\tvarying float vFragDepth;\\n\\t\\tvarying float vIsPerspective;\\n\\n\\t#else\\n\\n\\t\\tuniform float logDepthBufFC;\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/logdepthbuf_vertex.glsl.js\\nvar logdepthbuf_vertex_glsl_default = `\\n#ifdef USE_LOGDEPTHBUF\\n\\n\\t#ifdef USE_LOGDEPTHBUF_EXT\\n\\n\\t\\tvFragDepth = 1.0 + gl_Position.w;\\n\\t\\tvIsPerspective = float( isPerspectiveMatrix( projectionMatrix ) );\\n\\n\\t#else\\n\\n\\t\\tif ( isPerspectiveMatrix( projectionMatrix ) ) {\\n\\n\\t\\t\\tgl_Position.z = log2( max( EPSILON, gl_Position.w + 1.0 ) ) * logDepthBufFC - 1.0;\\n\\n\\t\\t\\tgl_Position.z *= gl_Position.w;\\n\\n\\t\\t}\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/map_fragment.glsl.js\\nvar map_fragment_glsl_default = `\\n#ifdef USE_MAP\\n\\n\\tvec4 texelColor = texture2D( map, vUv );\\n\\n\\ttexelColor = mapTexelToLinear( texelColor );\\n\\tdiffuseColor *= texelColor;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/map_pars_fragment.glsl.js\\nvar map_pars_fragment_glsl_default = `\\n#ifdef USE_MAP\\n\\n\\tuniform sampler2D map;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/map_particle_fragment.glsl.js\\nvar map_particle_fragment_glsl_default = `\\n#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\n\\tvec2 uv = ( uvTransform * vec3( gl_PointCoord.x, 1.0 - gl_PointCoord.y, 1 ) ).xy;\\n\\n#endif\\n\\n#ifdef USE_MAP\\n\\n\\tvec4 mapTexel = texture2D( map, uv );\\n\\tdiffuseColor *= mapTexelToLinear( mapTexel );\\n\\n#endif\\n\\n#ifdef USE_ALPHAMAP\\n\\n\\tdiffuseColor.a *= texture2D( alphaMap, uv ).g;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/map_particle_pars_fragment.glsl.js\\nvar map_particle_pars_fragment_glsl_default = `\\n#if defined( USE_MAP ) || defined( USE_ALPHAMAP )\\n\\n\\tuniform mat3 uvTransform;\\n\\n#endif\\n\\n#ifdef USE_MAP\\n\\n\\tuniform sampler2D map;\\n\\n#endif\\n\\n#ifdef USE_ALPHAMAP\\n\\n\\tuniform sampler2D alphaMap;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/metalnessmap_fragment.glsl.js\\nvar metalnessmap_fragment_glsl_default = `\\nfloat metalnessFactor = metalness;\\n\\n#ifdef USE_METALNESSMAP\\n\\n\\tvec4 texelMetalness = texture2D( metalnessMap, vUv );\\n\\n\\t// reads channel B, compatible with a combined OcclusionRoughnessMetallic (RGB) texture\\n\\tmetalnessFactor *= texelMetalness.b;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/metalnessmap_pars_fragment.glsl.js\\nvar metalnessmap_pars_fragment_glsl_default = `\\n#ifdef USE_METALNESSMAP\\n\\n\\tuniform sampler2D metalnessMap;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/morphnormal_vertex.glsl.js\\nvar morphnormal_vertex_glsl_default = `\\n#ifdef USE_MORPHNORMALS\\n\\n\\t// morphTargetBaseInfluence is set based on BufferGeometry.morphTargetsRelative value:\\n\\t// When morphTargetsRelative is false, this is set to 1 - sum(influences); this results in normal = sum((target - base) * influence)\\n\\t// When morphTargetsRelative is true, this is set to 1; as a result, all morph targets are simply added to the base after weighting\\n\\tobjectNormal *= morphTargetBaseInfluence;\\n\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\n\\t\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\n\\t\\t\\tif ( morphTargetInfluences[ i ] > 0.0 ) objectNormal += getMorph( gl_VertexID, i, 1, 2 ) * morphTargetInfluences[ i ];\\n\\n\\t\\t}\\n\\n\\t#else\\n\\n\\t\\tobjectNormal += morphNormal0 * morphTargetInfluences[ 0 ];\\n\\t\\tobjectNormal += morphNormal1 * morphTargetInfluences[ 1 ];\\n\\t\\tobjectNormal += morphNormal2 * morphTargetInfluences[ 2 ];\\n\\t\\tobjectNormal += morphNormal3 * morphTargetInfluences[ 3 ];\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/morphtarget_pars_vertex.glsl.js\\nvar morphtarget_pars_vertex_glsl_default = `\\n#ifdef USE_MORPHTARGETS\\n\\n\\tuniform float morphTargetBaseInfluence;\\n\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\n\\t\\tuniform float morphTargetInfluences[ MORPHTARGETS_COUNT ];\\n\\t\\tuniform sampler2DArray morphTargetsTexture;\\n\\t\\tuniform vec2 morphTargetsTextureSize;\\n\\n\\t\\tvec3 getMorph( const in int vertexIndex, const in int morphTargetIndex, const in int offset, const in int stride ) {\\n\\n\\t\\t\\tfloat texelIndex = float( vertexIndex * stride + offset );\\n\\t\\t\\tfloat y = floor( texelIndex / morphTargetsTextureSize.x );\\n\\t\\t\\tfloat x = texelIndex - y * morphTargetsTextureSize.x;\\n\\n\\t\\t\\tvec3 morphUV = vec3( ( x + 0.5 ) / morphTargetsTextureSize.x, y / morphTargetsTextureSize.y, morphTargetIndex );\\n\\t\\t\\treturn texture( morphTargetsTexture, morphUV ).xyz;\\n\\n\\t\\t}\\n\\n\\t#else\\n\\n\\t\\t#ifndef USE_MORPHNORMALS\\n\\n\\t\\t\\tuniform float morphTargetInfluences[ 8 ];\\n\\n\\t\\t#else\\n\\n\\t\\t\\tuniform float morphTargetInfluences[ 4 ];\\n\\n\\t\\t#endif\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/morphtarget_vertex.glsl.js\\nvar morphtarget_vertex_glsl_default = `\\n#ifdef USE_MORPHTARGETS\\n\\n\\t// morphTargetBaseInfluence is set based on BufferGeometry.morphTargetsRelative value:\\n\\t// When morphTargetsRelative is false, this is set to 1 - sum(influences); this results in position = sum((target - base) * influence)\\n\\t// When morphTargetsRelative is true, this is set to 1; as a result, all morph targets are simply added to the base after weighting\\n\\ttransformed *= morphTargetBaseInfluence;\\n\\n\\t#ifdef MORPHTARGETS_TEXTURE\\n\\n\\t\\tfor ( int i = 0; i < MORPHTARGETS_COUNT; i ++ ) {\\n\\n\\t\\t\\t#ifndef USE_MORPHNORMALS\\n\\n\\t\\t\\t\\tif ( morphTargetInfluences[ i ] > 0.0 ) transformed += getMorph( gl_VertexID, i, 0, 1 ) * morphTargetInfluences[ i ];\\n\\n\\t\\t\\t#else\\n\\n\\t\\t\\t\\tif ( morphTargetInfluences[ i ] > 0.0 ) transformed += getMorph( gl_VertexID, i, 0, 2 ) * morphTargetInfluences[ i ];\\n\\n\\t\\t\\t#endif\\n\\n\\t\\t}\\n\\n\\t#else\\n\\n\\t\\ttransformed += morphTarget0 * morphTargetInfluences[ 0 ];\\n\\t\\ttransformed += morphTarget1 * morphTargetInfluences[ 1 ];\\n\\t\\ttransformed += morphTarget2 * morphTargetInfluences[ 2 ];\\n\\t\\ttransformed += morphTarget3 * morphTargetInfluences[ 3 ];\\n\\n\\t\\t#ifndef USE_MORPHNORMALS\\n\\n\\t\\t\\ttransformed += morphTarget4 * morphTargetInfluences[ 4 ];\\n\\t\\t\\ttransformed += morphTarget5 * morphTargetInfluences[ 5 ];\\n\\t\\t\\ttransformed += morphTarget6 * morphTargetInfluences[ 6 ];\\n\\t\\t\\ttransformed += morphTarget7 * morphTargetInfluences[ 7 ];\\n\\n\\t\\t#endif\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/normal_fragment_begin.glsl.js\\nvar normal_fragment_begin_glsl_default = `\\nfloat faceDirection = gl_FrontFacing ? 1.0 : - 1.0;\\n\\n#ifdef FLAT_SHADED\\n\\n\\t// Workaround for Adreno GPUs not able to do dFdx( vViewPosition )\\n\\n\\tvec3 fdx = vec3( dFdx( vViewPosition.x ), dFdx( vViewPosition.y ), dFdx( vViewPosition.z ) );\\n\\tvec3 fdy = vec3( dFdy( vViewPosition.x ), dFdy( vViewPosition.y ), dFdy( vViewPosition.z ) );\\n\\tvec3 normal = normalize( cross( fdx, fdy ) );\\n\\n#else\\n\\n\\tvec3 normal = normalize( vNormal );\\n\\n\\t#ifdef DOUBLE_SIDED\\n\\n\\t\\tnormal = normal * faceDirection;\\n\\n\\t#endif\\n\\n\\t#ifdef USE_TANGENT\\n\\n\\t\\tvec3 tangent = normalize( vTangent );\\n\\t\\tvec3 bitangent = normalize( vBitangent );\\n\\n\\t\\t#ifdef DOUBLE_SIDED\\n\\n\\t\\t\\ttangent = tangent * faceDirection;\\n\\t\\t\\tbitangent = bitangent * faceDirection;\\n\\n\\t\\t#endif\\n\\n\\t\\t#if defined( TANGENTSPACE_NORMALMAP ) || defined( USE_CLEARCOAT_NORMALMAP )\\n\\n\\t\\t\\tmat3 vTBN = mat3( tangent, bitangent, normal );\\n\\n\\t\\t#endif\\n\\n\\t#endif\\n\\n#endif\\n\\n// non perturbed normal for clearcoat among others\\n\\nvec3 geometryNormal = normal;\\n\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/normal_fragment_maps.glsl.js\\nvar normal_fragment_maps_glsl_default = `\\n\\n#ifdef OBJECTSPACE_NORMALMAP\\n\\n\\tnormal = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0; // overrides both flatShading and attribute normals\\n\\n\\t#ifdef FLIP_SIDED\\n\\n\\t\\tnormal = - normal;\\n\\n\\t#endif\\n\\n\\t#ifdef DOUBLE_SIDED\\n\\n\\t\\tnormal = normal * faceDirection;\\n\\n\\t#endif\\n\\n\\tnormal = normalize( normalMatrix * normal );\\n\\n#elif defined( TANGENTSPACE_NORMALMAP )\\n\\n\\tvec3 mapN = texture2D( normalMap, vUv ).xyz * 2.0 - 1.0;\\n\\tmapN.xy *= normalScale;\\n\\n\\t#ifdef USE_TANGENT\\n\\n\\t\\tnormal = normalize( vTBN * mapN );\\n\\n\\t#else\\n\\n\\t\\tnormal = perturbNormal2Arb( - vViewPosition, normal, mapN, faceDirection );\\n\\n\\t#endif\\n\\n#elif defined( USE_BUMPMAP )\\n\\n\\tnormal = perturbNormalArb( - vViewPosition, normal, dHdxy_fwd(), faceDirection );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/normal_pars_fragment.glsl.js\\nvar normal_pars_fragment_glsl_default = `\\n#ifndef FLAT_SHADED\\n\\n\\tvarying vec3 vNormal;\\n\\n\\t#ifdef USE_TANGENT\\n\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/normal_pars_vertex.glsl.js\\nvar normal_pars_vertex_glsl_default = `\\n#ifndef FLAT_SHADED\\n\\n\\tvarying vec3 vNormal;\\n\\n\\t#ifdef USE_TANGENT\\n\\n\\t\\tvarying vec3 vTangent;\\n\\t\\tvarying vec3 vBitangent;\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/normal_vertex.glsl.js\\nvar normal_vertex_glsl_default = `\\n#ifndef FLAT_SHADED // normal is computed with derivatives when FLAT_SHADED\\n\\n\\tvNormal = normalize( transformedNormal );\\n\\n\\t#ifdef USE_TANGENT\\n\\n\\t\\tvTangent = normalize( transformedTangent );\\n\\t\\tvBitangent = normalize( cross( vNormal, vTangent ) * tangent.w );\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/normalmap_pars_fragment.glsl.js\\nvar normalmap_pars_fragment_glsl_default = `\\n#ifdef USE_NORMALMAP\\n\\n\\tuniform sampler2D normalMap;\\n\\tuniform vec2 normalScale;\\n\\n#endif\\n\\n#ifdef OBJECTSPACE_NORMALMAP\\n\\n\\tuniform mat3 normalMatrix;\\n\\n#endif\\n\\n#if ! defined ( USE_TANGENT ) && ( defined ( TANGENTSPACE_NORMALMAP ) || defined ( USE_CLEARCOAT_NORMALMAP ) )\\n\\n\\t// Normal Mapping Without Precomputed Tangents\\n\\t// http://www.thetenthplanet.de/archives/1180\\n\\n\\tvec3 perturbNormal2Arb( vec3 eye_pos, vec3 surf_norm, vec3 mapN, float faceDirection ) {\\n\\n\\t\\t// Workaround for Adreno 3XX dFd*( vec3 ) bug. See #9988\\n\\n\\t\\tvec3 q0 = vec3( dFdx( eye_pos.x ), dFdx( eye_pos.y ), dFdx( eye_pos.z ) );\\n\\t\\tvec3 q1 = vec3( dFdy( eye_pos.x ), dFdy( eye_pos.y ), dFdy( eye_pos.z ) );\\n\\t\\tvec2 st0 = dFdx( vUv.st );\\n\\t\\tvec2 st1 = dFdy( vUv.st );\\n\\n\\t\\tvec3 N = surf_norm; // normalized\\n\\n\\t\\tvec3 q1perp = cross( q1, N );\\n\\t\\tvec3 q0perp = cross( N, q0 );\\n\\n\\t\\tvec3 T = q1perp * st0.x + q0perp * st1.x;\\n\\t\\tvec3 B = q1perp * st0.y + q0perp * st1.y;\\n\\n\\t\\tfloat det = max( dot( T, T ), dot( B, B ) );\\n\\t\\tfloat scale = ( det == 0.0 ) ? 0.0 : faceDirection * inversesqrt( det );\\n\\n\\t\\treturn normalize( T * ( mapN.x * scale ) + B * ( mapN.y * scale ) + N * mapN.z );\\n\\n\\t}\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/clearcoat_normal_fragment_begin.glsl.js\\nvar clearcoat_normal_fragment_begin_glsl_default = `\\n#ifdef USE_CLEARCOAT\\n\\n\\tvec3 clearcoatNormal = geometryNormal;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/clearcoat_normal_fragment_maps.glsl.js\\nvar clearcoat_normal_fragment_maps_glsl_default = `\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\n\\tvec3 clearcoatMapN = texture2D( clearcoatNormalMap, vUv ).xyz * 2.0 - 1.0;\\n\\tclearcoatMapN.xy *= clearcoatNormalScale;\\n\\n\\t#ifdef USE_TANGENT\\n\\n\\t\\tclearcoatNormal = normalize( vTBN * clearcoatMapN );\\n\\n\\t#else\\n\\n\\t\\tclearcoatNormal = perturbNormal2Arb( - vViewPosition, clearcoatNormal, clearcoatMapN, faceDirection );\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/clearcoat_pars_fragment.glsl.js\\nvar clearcoat_pars_fragment_glsl_default = `\\n\\n#ifdef USE_CLEARCOATMAP\\n\\n\\tuniform sampler2D clearcoatMap;\\n\\n#endif\\n\\n#ifdef USE_CLEARCOAT_ROUGHNESSMAP\\n\\n\\tuniform sampler2D clearcoatRoughnessMap;\\n\\n#endif\\n\\n#ifdef USE_CLEARCOAT_NORMALMAP\\n\\n\\tuniform sampler2D clearcoatNormalMap;\\n\\tuniform vec2 clearcoatNormalScale;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/output_fragment.glsl.js\\nvar output_fragment_glsl_default = `\\n#ifdef OPAQUE\\ndiffuseColor.a = 1.0;\\n#endif\\n\\n// https://github.com/mrdoob/three.js/pull/22425\\n#ifdef USE_TRANSMISSION\\ndiffuseColor.a *= transmissionAlpha + 0.1;\\n#endif\\n\\ngl_FragColor = vec4( outgoingLight, diffuseColor.a );\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/packing.glsl.js\\nvar packing_glsl_default = `\\nvec3 packNormalToRGB( const in vec3 normal ) {\\n\\treturn normalize( normal ) * 0.5 + 0.5;\\n}\\n\\nvec3 unpackRGBToNormal( const in vec3 rgb ) {\\n\\treturn 2.0 * rgb.xyz - 1.0;\\n}\\n\\nconst float PackUpscale = 256. / 255.; // fraction -> 0..1 (including 1)\\nconst float UnpackDownscale = 255. / 256.; // 0..1 -> fraction (excluding 1)\\n\\nconst vec3 PackFactors = vec3( 256. * 256. * 256., 256. * 256., 256. );\\nconst vec4 UnpackFactors = UnpackDownscale / vec4( PackFactors, 1. );\\n\\nconst float ShiftRight8 = 1. / 256.;\\n\\nvec4 packDepthToRGBA( const in float v ) {\\n\\tvec4 r = vec4( fract( v * PackFactors ), v );\\n\\tr.yzw -= r.xyz * ShiftRight8; // tidy overflow\\n\\treturn r * PackUpscale;\\n}\\n\\nfloat unpackRGBAToDepth( const in vec4 v ) {\\n\\treturn dot( v, UnpackFactors );\\n}\\n\\nvec4 pack2HalfToRGBA( vec2 v ) {\\n\\tvec4 r = vec4( v.x, fract( v.x * 255.0 ), v.y, fract( v.y * 255.0 ) );\\n\\treturn vec4( r.x - r.y / 255.0, r.y, r.z - r.w / 255.0, r.w );\\n}\\n\\nvec2 unpackRGBATo2Half( vec4 v ) {\\n\\treturn vec2( v.x + ( v.y / 255.0 ), v.z + ( v.w / 255.0 ) );\\n}\\n\\n// NOTE: viewZ/eyeZ is < 0 when in front of the camera per OpenGL conventions\\n\\nfloat viewZToOrthographicDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn ( viewZ + near ) / ( near - far );\\n}\\nfloat orthographicDepthToViewZ( const in float linearClipZ, const in float near, const in float far ) {\\n\\treturn linearClipZ * ( near - far ) - near;\\n}\\n\\n// NOTE: https://twitter.com/gonnavis/status/1377183786949959682\\n\\nfloat viewZToPerspectiveDepth( const in float viewZ, const in float near, const in float far ) {\\n\\treturn ( ( near + viewZ ) * far ) / ( ( far - near ) * viewZ );\\n}\\nfloat perspectiveDepthToViewZ( const in float invClipZ, const in float near, const in float far ) {\\n\\treturn ( near * far ) / ( ( far - near ) * invClipZ - far );\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/premultiplied_alpha_fragment.glsl.js\\nvar premultiplied_alpha_fragment_glsl_default = `\\n#ifdef PREMULTIPLIED_ALPHA\\n\\n\\t// Get get normal blending with premultipled, use with CustomBlending, OneFactor, OneMinusSrcAlphaFactor, AddEquation.\\n\\tgl_FragColor.rgb *= gl_FragColor.a;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/project_vertex.glsl.js\\nvar project_vertex_glsl_default = `\\nvec4 mvPosition = vec4( transformed, 1.0 );\\n\\n#ifdef USE_INSTANCING\\n\\n\\tmvPosition = instanceMatrix * mvPosition;\\n\\n#endif\\n\\nmvPosition = modelViewMatrix * mvPosition;\\n\\ngl_Position = projectionMatrix * mvPosition;\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/dithering_fragment.glsl.js\\nvar dithering_fragment_glsl_default = `\\n#ifdef DITHERING\\n\\n\\tgl_FragColor.rgb = dithering( gl_FragColor.rgb );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/dithering_pars_fragment.glsl.js\\nvar dithering_pars_fragment_glsl_default = `\\n#ifdef DITHERING\\n\\n\\t// based on https://www.shadertoy.com/view/MslGR8\\n\\tvec3 dithering( vec3 color ) {\\n\\t\\t//Calculate grid position\\n\\t\\tfloat grid_position = rand( gl_FragCoord.xy );\\n\\n\\t\\t//Shift the individual colors differently, thus making it even harder to see the dithering pattern\\n\\t\\tvec3 dither_shift_RGB = vec3( 0.25 / 255.0, -0.25 / 255.0, 0.25 / 255.0 );\\n\\n\\t\\t//modify shift acording to grid position.\\n\\t\\tdither_shift_RGB = mix( 2.0 * dither_shift_RGB, -2.0 * dither_shift_RGB, grid_position );\\n\\n\\t\\t//shift the color by dither_shift\\n\\t\\treturn color + dither_shift_RGB;\\n\\t}\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/roughnessmap_fragment.glsl.js\\nvar roughnessmap_fragment_glsl_default = `\\nfloat roughnessFactor = roughness;\\n\\n#ifdef USE_ROUGHNESSMAP\\n\\n\\tvec4 texelRoughness = texture2D( roughnessMap, vUv );\\n\\n\\t// reads channel G, compatible with a combined OcclusionRoughnessMetallic (RGB) texture\\n\\troughnessFactor *= texelRoughness.g;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/roughnessmap_pars_fragment.glsl.js\\nvar roughnessmap_pars_fragment_glsl_default = `\\n#ifdef USE_ROUGHNESSMAP\\n\\n\\tuniform sampler2D roughnessMap;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/shadowmap_pars_fragment.glsl.js\\nvar shadowmap_pars_fragment_glsl_default = `\\n#ifdef USE_SHADOWMAP\\n\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\n\\t\\tuniform sampler2D directionalShadowMap[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\n\\t\\tstruct DirectionalLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\n\\t\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\n\\n\\t#endif\\n\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\n\\t\\tuniform sampler2D spotShadowMap[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\n\\t\\tstruct SpotLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\n\\t\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\n\\t#endif\\n\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\n\\t\\tuniform sampler2D pointShadowMap[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\n\\t\\tstruct PointLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t\\tfloat shadowCameraNear;\\n\\t\\t\\tfloat shadowCameraFar;\\n\\t\\t};\\n\\n\\t\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\n\\n\\t#endif\\n\\n\\t/*\\n\\t#if NUM_RECT_AREA_LIGHTS > 0\\n\\n\\t\\t// TODO (abelnation): create uniforms for area light shadows\\n\\n\\t#endif\\n\\t*/\\n\\n\\tfloat texture2DCompare( sampler2D depths, vec2 uv, float compare ) {\\n\\n\\t\\treturn step( compare, unpackRGBAToDepth( texture2D( depths, uv ) ) );\\n\\n\\t}\\n\\n\\tvec2 texture2DDistribution( sampler2D shadow, vec2 uv ) {\\n\\n\\t\\treturn unpackRGBATo2Half( texture2D( shadow, uv ) );\\n\\n\\t}\\n\\n\\tfloat VSMShadow (sampler2D shadow, vec2 uv, float compare ){\\n\\n\\t\\tfloat occlusion = 1.0;\\n\\n\\t\\tvec2 distribution = texture2DDistribution( shadow, uv );\\n\\n\\t\\tfloat hard_shadow = step( compare , distribution.x ); // Hard Shadow\\n\\n\\t\\tif (hard_shadow != 1.0 ) {\\n\\n\\t\\t\\tfloat distance = compare - distribution.x ;\\n\\t\\t\\tfloat variance = max( 0.00000, distribution.y * distribution.y );\\n\\t\\t\\tfloat softness_probability = variance / (variance + distance * distance ); // Chebeyshevs inequality\\n\\t\\t\\tsoftness_probability = clamp( ( softness_probability - 0.3 ) / ( 0.95 - 0.3 ), 0.0, 1.0 ); // 0.3 reduces light bleed\\n\\t\\t\\tocclusion = clamp( max( hard_shadow, softness_probability ), 0.0, 1.0 );\\n\\n\\t\\t}\\n\\t\\treturn occlusion;\\n\\n\\t}\\n\\n\\tfloat getShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord ) {\\n\\n\\t\\tfloat shadow = 1.0;\\n\\n\\t\\tshadowCoord.xyz /= shadowCoord.w;\\n\\t\\tshadowCoord.z += shadowBias;\\n\\n\\t\\t// if ( something && something ) breaks ATI OpenGL shader compiler\\n\\t\\t// if ( all( something, something ) ) using this instead\\n\\n\\t\\tbvec4 inFrustumVec = bvec4 ( shadowCoord.x >= 0.0, shadowCoord.x <= 1.0, shadowCoord.y >= 0.0, shadowCoord.y <= 1.0 );\\n\\t\\tbool inFrustum = all( inFrustumVec );\\n\\n\\t\\tbvec2 frustumTestVec = bvec2( inFrustum, shadowCoord.z <= 1.0 );\\n\\n\\t\\tbool frustumTest = all( frustumTestVec );\\n\\n\\t\\tif ( frustumTest ) {\\n\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF )\\n\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\n\\t\\t\\tfloat dx0 = - texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy0 = - texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx1 = + texelSize.x * shadowRadius;\\n\\t\\t\\tfloat dy1 = + texelSize.y * shadowRadius;\\n\\t\\t\\tfloat dx2 = dx0 / 2.0;\\n\\t\\t\\tfloat dy2 = dy0 / 2.0;\\n\\t\\t\\tfloat dx3 = dx1 / 2.0;\\n\\t\\t\\tfloat dy3 = dy1 / 2.0;\\n\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy2 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx2, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx3, dy3 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( 0.0, dy1 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, shadowCoord.xy + vec2( dx1, dy1 ), shadowCoord.z )\\n\\t\\t\\t) * ( 1.0 / 17.0 );\\n\\n\\t\\t#elif defined( SHADOWMAP_TYPE_PCF_SOFT )\\n\\n\\t\\t\\tvec2 texelSize = vec2( 1.0 ) / shadowMapSize;\\n\\t\\t\\tfloat dx = texelSize.x;\\n\\t\\t\\tfloat dy = texelSize.y;\\n\\n\\t\\t\\tvec2 uv = shadowCoord.xy;\\n\\t\\t\\tvec2 f = fract( uv * shadowMapSize + 0.5 );\\n\\t\\t\\tuv -= f * texelSize;\\n\\n\\t\\t\\tshadow = (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv, shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( dx, 0.0 ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + vec2( 0.0, dy ), shadowCoord.z ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, uv + texelSize, shadowCoord.z ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, 0.0 ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 0.0 ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( -dx, dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.x ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( 0.0, -dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 0.0, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( texture2DCompare( shadowMap, uv + vec2( dx, -dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t f.y ) +\\n\\t\\t\\t\\tmix( mix( texture2DCompare( shadowMap, uv + vec2( -dx, -dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, -dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t f.x ),\\n\\t\\t\\t\\t\\t mix( texture2DCompare( shadowMap, uv + vec2( -dx, 2.0 * dy ), shadowCoord.z ), \\n\\t\\t\\t\\t\\t\\t texture2DCompare( shadowMap, uv + vec2( 2.0 * dx, 2.0 * dy ), shadowCoord.z ),\\n\\t\\t\\t\\t\\t\\t f.x ),\\n\\t\\t\\t\\t\\t f.y )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\n\\t\\t#elif defined( SHADOWMAP_TYPE_VSM )\\n\\n\\t\\t\\tshadow = VSMShadow( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\n\\t\\t#else // no percentage-closer filtering:\\n\\n\\t\\t\\tshadow = texture2DCompare( shadowMap, shadowCoord.xy, shadowCoord.z );\\n\\n\\t\\t#endif\\n\\n\\t\\t}\\n\\n\\t\\treturn shadow;\\n\\n\\t}\\n\\n\\t// cubeToUV() maps a 3D direction vector suitable for cube texture mapping to a 2D\\n\\t// vector suitable for 2D texture mapping. This code uses the following layout for the\\n\\t// 2D texture:\\n\\t//\\n\\t// xzXZ\\n\\t// y Y\\n\\t//\\n\\t// Y - Positive y direction\\n\\t// y - Negative y direction\\n\\t// X - Positive x direction\\n\\t// x - Negative x direction\\n\\t// Z - Positive z direction\\n\\t// z - Negative z direction\\n\\t//\\n\\t// Source and test bed:\\n\\t// https://gist.github.com/tschw/da10c43c467ce8afd0c4\\n\\n\\tvec2 cubeToUV( vec3 v, float texelSizeY ) {\\n\\n\\t\\t// Number of texels to avoid at the edge of each square\\n\\n\\t\\tvec3 absV = abs( v );\\n\\n\\t\\t// Intersect unit cube\\n\\n\\t\\tfloat scaleToCube = 1.0 / max( absV.x, max( absV.y, absV.z ) );\\n\\t\\tabsV *= scaleToCube;\\n\\n\\t\\t// Apply scale to avoid seams\\n\\n\\t\\t// two texels less per square (one texel will do for NEAREST)\\n\\t\\tv *= scaleToCube * ( 1.0 - 2.0 * texelSizeY );\\n\\n\\t\\t// Unwrap\\n\\n\\t\\t// space: -1 ... 1 range for each square\\n\\t\\t//\\n\\t\\t// #X##\\t\\tdim := ( 4 , 2 )\\n\\t\\t// # #\\t\\tcenter := ( 1 , 1 )\\n\\n\\t\\tvec2 planar = v.xy;\\n\\n\\t\\tfloat almostATexel = 1.5 * texelSizeY;\\n\\t\\tfloat almostOne = 1.0 - almostATexel;\\n\\n\\t\\tif ( absV.z >= almostOne ) {\\n\\n\\t\\t\\tif ( v.z > 0.0 )\\n\\t\\t\\t\\tplanar.x = 4.0 - v.x;\\n\\n\\t\\t} else if ( absV.x >= almostOne ) {\\n\\n\\t\\t\\tfloat signX = sign( v.x );\\n\\t\\t\\tplanar.x = v.z * signX + 2.0 * signX;\\n\\n\\t\\t} else if ( absV.y >= almostOne ) {\\n\\n\\t\\t\\tfloat signY = sign( v.y );\\n\\t\\t\\tplanar.x = v.x + 2.0 * signY + 2.0;\\n\\t\\t\\tplanar.y = v.z * signY - 2.0;\\n\\n\\t\\t}\\n\\n\\t\\t// Transform to UV space\\n\\n\\t\\t// scale := 0.5 / dim\\n\\t\\t// translate := ( center + 0.5 ) / dim\\n\\t\\treturn vec2( 0.125, 0.25 ) * planar + vec2( 0.375, 0.75 );\\n\\n\\t}\\n\\n\\tfloat getPointShadow( sampler2D shadowMap, vec2 shadowMapSize, float shadowBias, float shadowRadius, vec4 shadowCoord, float shadowCameraNear, float shadowCameraFar ) {\\n\\n\\t\\tvec2 texelSize = vec2( 1.0 ) / ( shadowMapSize * vec2( 4.0, 2.0 ) );\\n\\n\\t\\t// for point lights, the uniform @vShadowCoord is re-purposed to hold\\n\\t\\t// the vector from the light to the world-space position of the fragment.\\n\\t\\tvec3 lightToPosition = shadowCoord.xyz;\\n\\n\\t\\t// dp = normalized distance from light to fragment position\\n\\t\\tfloat dp = ( length( lightToPosition ) - shadowCameraNear ) / ( shadowCameraFar - shadowCameraNear ); // need to clamp?\\n\\t\\tdp += shadowBias;\\n\\n\\t\\t// bd3D = base direction 3D\\n\\t\\tvec3 bd3D = normalize( lightToPosition );\\n\\n\\t\\t#if defined( SHADOWMAP_TYPE_PCF ) || defined( SHADOWMAP_TYPE_PCF_SOFT ) || defined( SHADOWMAP_TYPE_VSM )\\n\\n\\t\\t\\tvec2 offset = vec2( - 1, 1 ) * shadowRadius * texelSize.y;\\n\\n\\t\\t\\treturn (\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yyx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxy, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.xxx, texelSize.y ), dp ) +\\n\\t\\t\\t\\ttexture2DCompare( shadowMap, cubeToUV( bd3D + offset.yxx, texelSize.y ), dp )\\n\\t\\t\\t) * ( 1.0 / 9.0 );\\n\\n\\t\\t#else // no percentage-closer filtering\\n\\n\\t\\t\\treturn texture2DCompare( shadowMap, cubeToUV( bd3D, texelSize.y ), dp );\\n\\n\\t\\t#endif\\n\\n\\t}\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/shadowmap_pars_vertex.glsl.js\\nvar shadowmap_pars_vertex_glsl_default = `\\n#ifdef USE_SHADOWMAP\\n\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\n\\t\\tuniform mat4 directionalShadowMatrix[ NUM_DIR_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vDirectionalShadowCoord[ NUM_DIR_LIGHT_SHADOWS ];\\n\\n\\t\\tstruct DirectionalLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\n\\t\\tuniform DirectionalLightShadow directionalLightShadows[ NUM_DIR_LIGHT_SHADOWS ];\\n\\n\\t#endif\\n\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\n\\t\\tuniform mat4 spotShadowMatrix[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vSpotShadowCoord[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\n\\t\\tstruct SpotLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t};\\n\\n\\t\\tuniform SpotLightShadow spotLightShadows[ NUM_SPOT_LIGHT_SHADOWS ];\\n\\n\\t#endif\\n\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\n\\t\\tuniform mat4 pointShadowMatrix[ NUM_POINT_LIGHT_SHADOWS ];\\n\\t\\tvarying vec4 vPointShadowCoord[ NUM_POINT_LIGHT_SHADOWS ];\\n\\n\\t\\tstruct PointLightShadow {\\n\\t\\t\\tfloat shadowBias;\\n\\t\\t\\tfloat shadowNormalBias;\\n\\t\\t\\tfloat shadowRadius;\\n\\t\\t\\tvec2 shadowMapSize;\\n\\t\\t\\tfloat shadowCameraNear;\\n\\t\\t\\tfloat shadowCameraFar;\\n\\t\\t};\\n\\n\\t\\tuniform PointLightShadow pointLightShadows[ NUM_POINT_LIGHT_SHADOWS ];\\n\\n\\t#endif\\n\\n\\t/*\\n\\t#if NUM_RECT_AREA_LIGHTS > 0\\n\\n\\t\\t// TODO (abelnation): uniforms for area light shadows\\n\\n\\t#endif\\n\\t*/\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/shadowmap_vertex.glsl.js\\nvar shadowmap_vertex_glsl_default = `\\n#ifdef USE_SHADOWMAP\\n\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0 || NUM_SPOT_LIGHT_SHADOWS > 0 || NUM_POINT_LIGHT_SHADOWS > 0\\n\\n\\t\\t// Offsetting the position used for querying occlusion along the world normal can be used to reduce shadow acne.\\n\\t\\tvec3 shadowWorldNormal = inverseTransformDirection( transformedNormal, viewMatrix );\\n\\t\\tvec4 shadowWorldPosition;\\n\\n\\t#endif\\n\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\n\\t\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * directionalLightShadows[ i ].shadowNormalBias, 0 );\\n\\t\\tvDirectionalShadowCoord[ i ] = directionalShadowMatrix[ i ] * shadowWorldPosition;\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n\\t#endif\\n\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\n\\n\\t\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * spotLightShadows[ i ].shadowNormalBias, 0 );\\n\\t\\tvSpotShadowCoord[ i ] = spotShadowMatrix[ i ] * shadowWorldPosition;\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n\\t#endif\\n\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\n\\t\\tshadowWorldPosition = worldPosition + vec4( shadowWorldNormal * pointLightShadows[ i ].shadowNormalBias, 0 );\\n\\t\\tvPointShadowCoord[ i ] = pointShadowMatrix[ i ] * shadowWorldPosition;\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n\\t#endif\\n\\n\\t/*\\n\\t#if NUM_RECT_AREA_LIGHTS > 0\\n\\n\\t\\t// TODO (abelnation): update vAreaShadowCoord with area light info\\n\\n\\t#endif\\n\\t*/\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/shadowmask_pars_fragment.glsl.js\\nvar shadowmask_pars_fragment_glsl_default = `\\nfloat getShadowMask() {\\n\\n\\tfloat shadow = 1.0;\\n\\n\\t#ifdef USE_SHADOWMAP\\n\\n\\t#if NUM_DIR_LIGHT_SHADOWS > 0\\n\\n\\tDirectionalLightShadow directionalLight;\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_DIR_LIGHT_SHADOWS; i ++ ) {\\n\\n\\t\\tdirectionalLight = directionalLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( directionalShadowMap[ i ], directionalLight.shadowMapSize, directionalLight.shadowBias, directionalLight.shadowRadius, vDirectionalShadowCoord[ i ] ) : 1.0;\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n\\t#endif\\n\\n\\t#if NUM_SPOT_LIGHT_SHADOWS > 0\\n\\n\\tSpotLightShadow spotLight;\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_SPOT_LIGHT_SHADOWS; i ++ ) {\\n\\n\\t\\tspotLight = spotLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getShadow( spotShadowMap[ i ], spotLight.shadowMapSize, spotLight.shadowBias, spotLight.shadowRadius, vSpotShadowCoord[ i ] ) : 1.0;\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n\\t#endif\\n\\n\\t#if NUM_POINT_LIGHT_SHADOWS > 0\\n\\n\\tPointLightShadow pointLight;\\n\\n\\t#pragma unroll_loop_start\\n\\tfor ( int i = 0; i < NUM_POINT_LIGHT_SHADOWS; i ++ ) {\\n\\n\\t\\tpointLight = pointLightShadows[ i ];\\n\\t\\tshadow *= receiveShadow ? getPointShadow( pointShadowMap[ i ], pointLight.shadowMapSize, pointLight.shadowBias, pointLight.shadowRadius, vPointShadowCoord[ i ], pointLight.shadowCameraNear, pointLight.shadowCameraFar ) : 1.0;\\n\\n\\t}\\n\\t#pragma unroll_loop_end\\n\\n\\t#endif\\n\\n\\t/*\\n\\t#if NUM_RECT_AREA_LIGHTS > 0\\n\\n\\t\\t// TODO (abelnation): update shadow for Area light\\n\\n\\t#endif\\n\\t*/\\n\\n\\t#endif\\n\\n\\treturn shadow;\\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/skinbase_vertex.glsl.js\\nvar skinbase_vertex_glsl_default = `\\n#ifdef USE_SKINNING\\n\\n\\tmat4 boneMatX = getBoneMatrix( skinIndex.x );\\n\\tmat4 boneMatY = getBoneMatrix( skinIndex.y );\\n\\tmat4 boneMatZ = getBoneMatrix( skinIndex.z );\\n\\tmat4 boneMatW = getBoneMatrix( skinIndex.w );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/skinning_pars_vertex.glsl.js\\nvar skinning_pars_vertex_glsl_default = `\\n#ifdef USE_SKINNING\\n\\n\\tuniform mat4 bindMatrix;\\n\\tuniform mat4 bindMatrixInverse;\\n\\n\\t#ifdef BONE_TEXTURE\\n\\n\\t\\tuniform highp sampler2D boneTexture;\\n\\t\\tuniform int boneTextureSize;\\n\\n\\t\\tmat4 getBoneMatrix( const in float i ) {\\n\\n\\t\\t\\tfloat j = i * 4.0;\\n\\t\\t\\tfloat x = mod( j, float( boneTextureSize ) );\\n\\t\\t\\tfloat y = floor( j / float( boneTextureSize ) );\\n\\n\\t\\t\\tfloat dx = 1.0 / float( boneTextureSize );\\n\\t\\t\\tfloat dy = 1.0 / float( boneTextureSize );\\n\\n\\t\\t\\ty = dy * ( y + 0.5 );\\n\\n\\t\\t\\tvec4 v1 = texture2D( boneTexture, vec2( dx * ( x + 0.5 ), y ) );\\n\\t\\t\\tvec4 v2 = texture2D( boneTexture, vec2( dx * ( x + 1.5 ), y ) );\\n\\t\\t\\tvec4 v3 = texture2D( boneTexture, vec2( dx * ( x + 2.5 ), y ) );\\n\\t\\t\\tvec4 v4 = texture2D( boneTexture, vec2( dx * ( x + 3.5 ), y ) );\\n\\n\\t\\t\\tmat4 bone = mat4( v1, v2, v3, v4 );\\n\\n\\t\\t\\treturn bone;\\n\\n\\t\\t}\\n\\n\\t#else\\n\\n\\t\\tuniform mat4 boneMatrices[ MAX_BONES ];\\n\\n\\t\\tmat4 getBoneMatrix( const in float i ) {\\n\\n\\t\\t\\tmat4 bone = boneMatrices[ int(i) ];\\n\\t\\t\\treturn bone;\\n\\n\\t\\t}\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/skinning_vertex.glsl.js\\nvar skinning_vertex_glsl_default = `\\n#ifdef USE_SKINNING\\n\\n\\tvec4 skinVertex = bindMatrix * vec4( transformed, 1.0 );\\n\\n\\tvec4 skinned = vec4( 0.0 );\\n\\tskinned += boneMatX * skinVertex * skinWeight.x;\\n\\tskinned += boneMatY * skinVertex * skinWeight.y;\\n\\tskinned += boneMatZ * skinVertex * skinWeight.z;\\n\\tskinned += boneMatW * skinVertex * skinWeight.w;\\n\\n\\ttransformed = ( bindMatrixInverse * skinned ).xyz;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/skinnormal_vertex.glsl.js\\nvar skinnormal_vertex_glsl_default = `\\n#ifdef USE_SKINNING\\n\\n\\tmat4 skinMatrix = mat4( 0.0 );\\n\\tskinMatrix += skinWeight.x * boneMatX;\\n\\tskinMatrix += skinWeight.y * boneMatY;\\n\\tskinMatrix += skinWeight.z * boneMatZ;\\n\\tskinMatrix += skinWeight.w * boneMatW;\\n\\tskinMatrix = bindMatrixInverse * skinMatrix * bindMatrix;\\n\\n\\tobjectNormal = vec4( skinMatrix * vec4( objectNormal, 0.0 ) ).xyz;\\n\\n\\t#ifdef USE_TANGENT\\n\\n\\t\\tobjectTangent = vec4( skinMatrix * vec4( objectTangent, 0.0 ) ).xyz;\\n\\n\\t#endif\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/specularmap_fragment.glsl.js\\nvar specularmap_fragment_glsl_default = `\\nfloat specularStrength;\\n\\n#ifdef USE_SPECULARMAP\\n\\n\\tvec4 texelSpecular = texture2D( specularMap, vUv );\\n\\tspecularStrength = texelSpecular.r;\\n\\n#else\\n\\n\\tspecularStrength = 1.0;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/specularmap_pars_fragment.glsl.js\\nvar specularmap_pars_fragment_glsl_default = `\\n#ifdef USE_SPECULARMAP\\n\\n\\tuniform sampler2D specularMap;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/tonemapping_fragment.glsl.js\\nvar tonemapping_fragment_glsl_default = `\\n#if defined( TONE_MAPPING )\\n\\n\\tgl_FragColor.rgb = toneMapping( gl_FragColor.rgb );\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/tonemapping_pars_fragment.glsl.js\\nvar tonemapping_pars_fragment_glsl_default = `\\n#ifndef saturate\\n// may have defined saturate() already\\n#define saturate( a ) clamp( a, 0.0, 1.0 )\\n#endif\\n\\nuniform float toneMappingExposure;\\n\\n// exposure only\\nvec3 LinearToneMapping( vec3 color ) {\\n\\n\\treturn toneMappingExposure * color;\\n\\n}\\n\\n// source: https://www.cs.utah.edu/~reinhard/cdrom/\\nvec3 ReinhardToneMapping( vec3 color ) {\\n\\n\\tcolor *= toneMappingExposure;\\n\\treturn saturate( color / ( vec3( 1.0 ) + color ) );\\n\\n}\\n\\n// source: http://filmicworlds.com/blog/filmic-tonemapping-operators/\\nvec3 OptimizedCineonToneMapping( vec3 color ) {\\n\\n\\t// optimized filmic operator by Jim Hejl and Richard Burgess-Dawson\\n\\tcolor *= toneMappingExposure;\\n\\tcolor = max( vec3( 0.0 ), color - 0.004 );\\n\\treturn pow( ( color * ( 6.2 * color + 0.5 ) ) / ( color * ( 6.2 * color + 1.7 ) + 0.06 ), vec3( 2.2 ) );\\n\\n}\\n\\n// source: https://github.com/selfshadow/ltc_code/blob/master/webgl/shaders/ltc/ltc_blit.fs\\nvec3 RRTAndODTFit( vec3 v ) {\\n\\n\\tvec3 a = v * ( v + 0.0245786 ) - 0.000090537;\\n\\tvec3 b = v * ( 0.983729 * v + 0.4329510 ) + 0.238081;\\n\\treturn a / b;\\n\\n}\\n\\n// this implementation of ACES is modified to accommodate a brighter viewing environment.\\n// the scale factor of 1/0.6 is subjective. see discussion in #19621.\\n\\nvec3 ACESFilmicToneMapping( vec3 color ) {\\n\\n\\t// sRGB => XYZ => D65_2_D60 => AP1 => RRT_SAT\\n\\tconst mat3 ACESInputMat = mat3(\\n\\t\\tvec3( 0.59719, 0.07600, 0.02840 ), // transposed from source\\n\\t\\tvec3( 0.35458, 0.90834, 0.13383 ),\\n\\t\\tvec3( 0.04823, 0.01566, 0.83777 )\\n\\t);\\n\\n\\t// ODT_SAT => XYZ => D60_2_D65 => sRGB\\n\\tconst mat3 ACESOutputMat = mat3(\\n\\t\\tvec3( 1.60475, -0.10208, -0.00327 ), // transposed from source\\n\\t\\tvec3( -0.53108, 1.10813, -0.07276 ),\\n\\t\\tvec3( -0.07367, -0.00605, 1.07602 )\\n\\t);\\n\\n\\tcolor *= toneMappingExposure / 0.6;\\n\\n\\tcolor = ACESInputMat * color;\\n\\n\\t// Apply RRT and ODT\\n\\tcolor = RRTAndODTFit( color );\\n\\n\\tcolor = ACESOutputMat * color;\\n\\n\\t// Clamp to [0, 1]\\n\\treturn saturate( color );\\n\\n}\\n\\nvec3 CustomToneMapping( vec3 color ) { return color; }\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/transmission_fragment.glsl.js\\nvar transmission_fragment_glsl_default = `\\n#ifdef USE_TRANSMISSION\\n\\n\\tfloat transmissionAlpha = 1.0;\\n\\tfloat transmissionFactor = transmission;\\n\\tfloat thicknessFactor = thickness;\\n\\n\\t#ifdef USE_TRANSMISSIONMAP\\n\\n\\t\\ttransmissionFactor *= texture2D( transmissionMap, vUv ).r;\\n\\n\\t#endif\\n\\n\\t#ifdef USE_THICKNESSMAP\\n\\n\\t\\tthicknessFactor *= texture2D( thicknessMap, vUv ).g;\\n\\n\\t#endif\\n\\n\\tvec3 pos = vWorldPosition;\\n\\tvec3 v = normalize( cameraPosition - pos );\\n\\tvec3 n = inverseTransformDirection( normal, viewMatrix );\\n\\n\\tvec4 transmission = getIBLVolumeRefraction(\\n\\t\\tn, v, roughnessFactor, material.diffuseColor, material.specularColor, material.specularF90,\\n\\t\\tpos, modelMatrix, viewMatrix, projectionMatrix, ior, thicknessFactor,\\n\\t\\tattenuationTint, attenuationDistance );\\n\\n\\ttotalDiffuse = mix( totalDiffuse, transmission.rgb, transmissionFactor );\\n\\ttransmissionAlpha = mix( transmissionAlpha, transmission.a, transmissionFactor );\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/transmission_pars_fragment.glsl.js\\nvar transmission_pars_fragment_glsl_default = `\\n#ifdef USE_TRANSMISSION\\n\\n\\t// Transmission code is based on glTF-Sampler-Viewer\\n\\t// https://github.com/KhronosGroup/glTF-Sample-Viewer\\n\\n\\tuniform float transmission;\\n\\tuniform float thickness;\\n\\tuniform float attenuationDistance;\\n\\tuniform vec3 attenuationTint;\\n\\n\\t#ifdef USE_TRANSMISSIONMAP\\n\\n\\t\\tuniform sampler2D transmissionMap;\\n\\n\\t#endif\\n\\n\\t#ifdef USE_THICKNESSMAP\\n\\n\\t\\tuniform sampler2D thicknessMap;\\n\\n\\t#endif\\n\\n\\tuniform vec2 transmissionSamplerSize;\\n\\tuniform sampler2D transmissionSamplerMap;\\n\\n\\tuniform mat4 modelMatrix;\\n\\tuniform mat4 projectionMatrix;\\n\\n\\tvarying vec3 vWorldPosition;\\n\\n\\tvec3 getVolumeTransmissionRay( vec3 n, vec3 v, float thickness, float ior, mat4 modelMatrix ) {\\n\\n\\t\\t// Direction of refracted light.\\n\\t\\tvec3 refractionVector = refract( - v, normalize( n ), 1.0 / ior );\\n\\n\\t\\t// Compute rotation-independant scaling of the model matrix.\\n\\t\\tvec3 modelScale;\\n\\t\\tmodelScale.x = length( vec3( modelMatrix[ 0 ].xyz ) );\\n\\t\\tmodelScale.y = length( vec3( modelMatrix[ 1 ].xyz ) );\\n\\t\\tmodelScale.z = length( vec3( modelMatrix[ 2 ].xyz ) );\\n\\n\\t\\t// The thickness is specified in local space.\\n\\t\\treturn normalize( refractionVector ) * thickness * modelScale;\\n\\n\\t}\\n\\n\\tfloat applyIorToRoughness( float roughness, float ior ) {\\n\\n\\t\\t// Scale roughness with IOR so that an IOR of 1.0 results in no microfacet refraction and\\n\\t\\t// an IOR of 1.5 results in the default amount of microfacet refraction.\\n\\t\\treturn roughness * clamp( ior * 2.0 - 2.0, 0.0, 1.0 );\\n\\n\\t}\\n\\n\\tvec4 getTransmissionSample( vec2 fragCoord, float roughness, float ior ) {\\n\\n\\t\\tfloat framebufferLod = log2( transmissionSamplerSize.x ) * applyIorToRoughness( roughness, ior );\\n\\n\\t\\t#ifdef TEXTURE_LOD_EXT\\n\\n\\t\\t\\treturn texture2DLodEXT( transmissionSamplerMap, fragCoord.xy, framebufferLod );\\n\\n\\t\\t#else\\n\\n\\t\\t\\treturn texture2D( transmissionSamplerMap, fragCoord.xy, framebufferLod );\\n\\n\\t\\t#endif\\n\\n\\t}\\n\\n\\tvec3 applyVolumeAttenuation( vec3 radiance, float transmissionDistance, vec3 attenuationColor, float attenuationDistance ) {\\n\\n\\t\\tif ( attenuationDistance == 0.0 ) {\\n\\n\\t\\t\\t// Attenuation distance is +\\\\u221E (which we indicate by zero), i.e. the transmitted color is not attenuated at all.\\n\\t\\t\\treturn radiance;\\n\\n\\t\\t} else {\\n\\n\\t\\t\\t// Compute light attenuation using Beer's law.\\n\\t\\t\\tvec3 attenuationCoefficient = -log( attenuationColor ) / attenuationDistance;\\n\\t\\t\\tvec3 transmittance = exp( - attenuationCoefficient * transmissionDistance ); // Beer's law\\n\\t\\t\\treturn transmittance * radiance;\\n\\n\\t\\t}\\n\\n\\t}\\n\\n\\tvec4 getIBLVolumeRefraction( vec3 n, vec3 v, float roughness, vec3 diffuseColor, vec3 specularColor, float specularF90,\\n\\t\\tvec3 position, mat4 modelMatrix, mat4 viewMatrix, mat4 projMatrix, float ior, float thickness,\\n\\t\\tvec3 attenuationColor, float attenuationDistance ) {\\n\\n\\t\\tvec3 transmissionRay = getVolumeTransmissionRay( n, v, thickness, ior, modelMatrix );\\n\\t\\tvec3 refractedRayExit = position + transmissionRay;\\n\\n\\t\\t// Project refracted vector on the framebuffer, while mapping to normalized device coordinates.\\n\\t\\tvec4 ndcPos = projMatrix * viewMatrix * vec4( refractedRayExit, 1.0 );\\n\\t\\tvec2 refractionCoords = ndcPos.xy / ndcPos.w;\\n\\t\\trefractionCoords += 1.0;\\n\\t\\trefractionCoords /= 2.0;\\n\\n\\t\\t// Sample framebuffer to get pixel the refracted ray hits.\\n\\t\\tvec4 transmittedLight = getTransmissionSample( refractionCoords, roughness, ior );\\n\\n\\t\\tvec3 attenuatedColor = applyVolumeAttenuation( transmittedLight.rgb, length( transmissionRay ), attenuationColor, attenuationDistance );\\n\\n\\t\\t// Get the specular component.\\n\\t\\tvec3 F = EnvironmentBRDF( n, v, specularColor, specularF90, roughness );\\n\\n\\t\\treturn vec4( ( 1.0 - F ) * attenuatedColor * diffuseColor, transmittedLight.a );\\n\\n\\t}\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/uv_pars_fragment.glsl.js\\nvar uv_pars_fragment_glsl_default = `\\n#if ( defined( USE_UV ) && ! defined( UVS_VERTEX_ONLY ) )\\n\\n\\tvarying vec2 vUv;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/uv_pars_vertex.glsl.js\\nvar uv_pars_vertex_glsl_default = `\\n#ifdef USE_UV\\n\\n\\t#ifdef UVS_VERTEX_ONLY\\n\\n\\t\\tvec2 vUv;\\n\\n\\t#else\\n\\n\\t\\tvarying vec2 vUv;\\n\\n\\t#endif\\n\\n\\tuniform mat3 uvTransform;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/uv_vertex.glsl.js\\nvar uv_vertex_glsl_default = `\\n#ifdef USE_UV\\n\\n\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/uv2_pars_fragment.glsl.js\\nvar uv2_pars_fragment_glsl_default = `\\n#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\n\\n\\tvarying vec2 vUv2;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/uv2_pars_vertex.glsl.js\\nvar uv2_pars_vertex_glsl_default = `\\n#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\n\\n\\tattribute vec2 uv2;\\n\\tvarying vec2 vUv2;\\n\\n\\tuniform mat3 uv2Transform;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/uv2_vertex.glsl.js\\nvar uv2_vertex_glsl_default = `\\n#if defined( USE_LIGHTMAP ) || defined( USE_AOMAP )\\n\\n\\tvUv2 = ( uv2Transform * vec3( uv2, 1 ) ).xy;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk/worldpos_vertex.glsl.js\\nvar worldpos_vertex_glsl_default = `\\n#if defined( USE_ENVMAP ) || defined( DISTANCE ) || defined ( USE_SHADOWMAP ) || defined ( USE_TRANSMISSION )\\n\\n\\tvec4 worldPosition = vec4( transformed, 1.0 );\\n\\n\\t#ifdef USE_INSTANCING\\n\\n\\t\\tworldPosition = instanceMatrix * worldPosition;\\n\\n\\t#endif\\n\\n\\tworldPosition = modelMatrix * worldPosition;\\n\\n#endif\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/background.glsl.js\\nvar vertex = `\\nvarying vec2 vUv;\\nuniform mat3 uvTransform;\\n\\nvoid main() {\\n\\n\\tvUv = ( uvTransform * vec3( uv, 1 ) ).xy;\\n\\n\\tgl_Position = vec4( position.xy, 1.0, 1.0 );\\n\\n}\\n`;\\nvar fragment = `\\nuniform sampler2D t2D;\\n\\nvarying vec2 vUv;\\n\\nvoid main() {\\n\\n\\tvec4 texColor = texture2D( t2D, vUv );\\n\\n\\tgl_FragColor = mapTexelToLinear( texColor );\\n\\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/cube.glsl.js\\nvar vertex2 = `\\nvarying vec3 vWorldDirection;\\n\\n#include \\n\\nvoid main() {\\n\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\n\\t#include \\n\\t#include \\n\\n\\tgl_Position.z = gl_Position.w; // set z to camera.far\\n\\n}\\n`;\\nvar fragment2 = `\\n#include \\nuniform float opacity;\\n\\nvarying vec3 vWorldDirection;\\n\\n#include \\n\\nvoid main() {\\n\\n\\tvec3 vReflect = vWorldDirection;\\n\\t#include \\n\\n\\tgl_FragColor = envColor;\\n\\tgl_FragColor.a *= opacity;\\n\\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/depth.glsl.js\\nvar vertex3 = `\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\n// This is used for computing an equivalent of gl_FragCoord.z that is as high precision as possible.\\n// Some platforms compute gl_FragCoord at a lower precision which makes the manually computed value better for\\n// depth-based postprocessing effects. Reproduced on iPad with A10 processor / iPadOS 13.3.1.\\nvarying vec2 vHighPrecisionZW;\\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\t#include \\n\\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\n\\t#endif\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tvHighPrecisionZW = gl_Position.zw;\\n\\n}\\n`;\\nvar fragment3 = `\\n#if DEPTH_PACKING == 3200\\n\\n\\tuniform float opacity;\\n\\n#endif\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvarying vec2 vHighPrecisionZW;\\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\n\\t#if DEPTH_PACKING == 3200\\n\\n\\t\\tdiffuseColor.a = opacity;\\n\\n\\t#endif\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\n\\t// Higher precision equivalent of gl_FragCoord.z. This assumes depthRange has been left to its default values.\\n\\tfloat fragCoordZ = 0.5 * vHighPrecisionZW[0] / vHighPrecisionZW[1] + 0.5;\\n\\n\\t#if DEPTH_PACKING == 3200\\n\\n\\t\\tgl_FragColor = vec4( vec3( 1.0 - fragCoordZ ), opacity );\\n\\n\\t#elif DEPTH_PACKING == 3201\\n\\n\\t\\tgl_FragColor = packDepthToRGBA( fragCoordZ );\\n\\n\\t#endif\\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/distanceRGBA.glsl.js\\nvar vertex4 = `\\n#define DISTANCE\\n\\nvarying vec3 vWorldPosition;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\t#include \\n\\n\\t#ifdef USE_DISPLACEMENTMAP\\n\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\n\\t#endif\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tvWorldPosition = worldPosition.xyz;\\n\\n}\\n`;\\nvar fragment4 = `\\n#define DISTANCE\\n\\nuniform vec3 referencePosition;\\nuniform float nearDistance;\\nuniform float farDistance;\\nvarying vec3 vWorldPosition;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main () {\\n\\n\\t#include \\n\\n\\tvec4 diffuseColor = vec4( 1.0 );\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tfloat dist = length( vWorldPosition - referencePosition );\\n\\tdist = ( dist - nearDistance ) / ( farDistance - nearDistance );\\n\\tdist = saturate( dist ); // clamp to [ 0, 1 ]\\n\\n\\tgl_FragColor = packDepthToRGBA( dist );\\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/equirect.glsl.js\\nvar vertex5 = `\\nvarying vec3 vWorldDirection;\\n\\n#include \\n\\nvoid main() {\\n\\n\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\n\\t#include \\n\\t#include \\n\\n}\\n`;\\nvar fragment5 = `\\nuniform sampler2D tEquirect;\\n\\nvarying vec3 vWorldDirection;\\n\\n#include \\n\\nvoid main() {\\n\\n\\tvec3 direction = normalize( vWorldDirection );\\n\\n\\tvec2 sampleUV = equirectUv( direction );\\n\\n\\tvec4 texColor = texture2D( tEquirect, sampleUV );\\n\\n\\tgl_FragColor = mapTexelToLinear( texColor );\\n\\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/linedashed.glsl.js\\nvar vertex6 = `\\nuniform float scale;\\nattribute float lineDistance;\\n\\nvarying float vLineDistance;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\tvLineDistance = scale * lineDistance;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\nvar fragment6 = `\\nuniform vec3 diffuse;\\nuniform float opacity;\\n\\nuniform float dashSize;\\nuniform float totalSize;\\n\\nvarying float vLineDistance;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tif ( mod( vLineDistance, totalSize ) > dashSize ) {\\n\\n\\t\\tdiscard;\\n\\n\\t}\\n\\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\n\\t#include \\n\\t#include \\n\\n\\toutgoingLight = diffuseColor.rgb; // simple shader\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/meshbasic.glsl.js\\nvar vertex7 = `\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#if defined ( USE_ENVMAP ) || defined ( USE_SKINNING )\\n\\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\t\\t#include \\n\\n\\t#endif\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\nvar fragment7 = `\\nuniform vec3 diffuse;\\nuniform float opacity;\\n\\n#ifndef FLAT_SHADED\\n\\n\\tvarying vec3 vNormal;\\n\\n#endif\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\n\\t// accumulation (baked indirect lighting only)\\n\\t#ifdef USE_LIGHTMAP\\n\\n\\t\\tvec4 lightMapTexel= texture2D( lightMap, vUv2 );\\n\\t\\treflectedLight.indirectDiffuse += lightMapTexelToLinear( lightMapTexel ).rgb * lightMapIntensity;\\n\\n\\t#else\\n\\n\\t\\treflectedLight.indirectDiffuse += vec3( 1.0 );\\n\\n\\t#endif\\n\\n\\t// modulation\\n\\t#include \\n\\n\\treflectedLight.indirectDiffuse *= diffuseColor.rgb;\\n\\n\\tvec3 outgoingLight = reflectedLight.indirectDiffuse;\\n\\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/meshlambert.glsl.js\\nvar vertex8 = `\\n#define LAMBERT\\n\\nvarying vec3 vLightFront;\\nvarying vec3 vIndirectFront;\\n\\n#ifdef DOUBLE_SIDED\\n\\tvarying vec3 vLightBack;\\n\\tvarying vec3 vIndirectBack;\\n#endif\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\\n`;\\nvar fragment8 = `\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float opacity;\\n\\nvarying vec3 vLightFront;\\nvarying vec3 vIndirectFront;\\n\\n#ifdef DOUBLE_SIDED\\n\\tvarying vec3 vLightBack;\\n\\tvarying vec3 vIndirectBack;\\n#endif\\n\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t// accumulation\\n\\n\\t#ifdef DOUBLE_SIDED\\n\\n\\t\\treflectedLight.indirectDiffuse += ( gl_FrontFacing ) ? vIndirectFront : vIndirectBack;\\n\\n\\t#else\\n\\n\\t\\treflectedLight.indirectDiffuse += vIndirectFront;\\n\\n\\t#endif\\n\\n\\t#include \\n\\n\\treflectedLight.indirectDiffuse *= BRDF_Lambert( diffuseColor.rgb );\\n\\n\\t#ifdef DOUBLE_SIDED\\n\\n\\t\\treflectedLight.directDiffuse = ( gl_FrontFacing ) ? vLightFront : vLightBack;\\n\\n\\t#else\\n\\n\\t\\treflectedLight.directDiffuse = vLightFront;\\n\\n\\t#endif\\n\\n\\treflectedLight.directDiffuse *= BRDF_Lambert( diffuseColor.rgb ) * getShadowMask();\\n\\n\\t// modulation\\n\\n\\t#include \\n\\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\n\\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/meshmatcap.glsl.js\\nvar vertex9 = `\\n#define MATCAP\\n\\nvarying vec3 vViewPosition;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tvViewPosition = - mvPosition.xyz;\\n\\n}\\n`;\\nvar fragment9 = `\\n#define MATCAP\\n\\nuniform vec3 diffuse;\\nuniform float opacity;\\nuniform sampler2D matcap;\\n\\nvarying vec3 vViewPosition;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tvec3 viewDir = normalize( vViewPosition );\\n\\tvec3 x = normalize( vec3( viewDir.z, 0.0, - viewDir.x ) );\\n\\tvec3 y = cross( viewDir, x );\\n\\tvec2 uv = vec2( dot( x, normal ), dot( y, normal ) ) * 0.495 + 0.5; // 0.495 to remove artifacts caused by undersized matcap disks\\n\\n\\t#ifdef USE_MATCAP\\n\\n\\t\\tvec4 matcapColor = texture2D( matcap, uv );\\n\\t\\tmatcapColor = matcapTexelToLinear( matcapColor );\\n\\n\\t#else\\n\\n\\t\\tvec4 matcapColor = vec4( 1.0 );\\n\\n\\t#endif\\n\\n\\tvec3 outgoingLight = diffuseColor.rgb * matcapColor.rgb;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/meshnormal.glsl.js\\nvar vertex10 = `\\n#define NORMAL\\n\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\n\\n\\tvarying vec3 vViewPosition;\\n\\n#endif\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\n\\n\\tvViewPosition = - mvPosition.xyz;\\n\\n#endif\\n\\n}\\n`;\\nvar fragment10 = `\\n#define NORMAL\\n\\nuniform float opacity;\\n\\n#if defined( FLAT_SHADED ) || defined( USE_BUMPMAP ) || defined( TANGENTSPACE_NORMALMAP )\\n\\n\\tvarying vec3 vViewPosition;\\n\\n#endif\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tgl_FragColor = vec4( packNormalToRGB( normal ), opacity );\\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/meshphong.glsl.js\\nvar vertex11 = `\\n#define PHONG\\n\\nvarying vec3 vViewPosition;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tvViewPosition = - mvPosition.xyz;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\nvar fragment11 = `\\n#define PHONG\\n\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform vec3 specular;\\nuniform float shininess;\\nuniform float opacity;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t// accumulation\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t// modulation\\n\\t#include \\n\\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + reflectedLight.directSpecular + reflectedLight.indirectSpecular + totalEmissiveRadiance;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/meshphysical.glsl.js\\nvar vertex12 = `\\n#define STANDARD\\n\\nvarying vec3 vViewPosition;\\n\\n#ifdef USE_TRANSMISSION\\n\\n\\tvarying vec3 vWorldPosition;\\n\\n#endif\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tvViewPosition = - mvPosition.xyz;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n#ifdef USE_TRANSMISSION\\n\\n\\tvWorldPosition = worldPosition.xyz;\\n\\n#endif\\n}\\n`;\\nvar fragment12 = `\\n#define STANDARD\\n\\n#ifdef PHYSICAL\\n\\t#define IOR\\n\\t#define SPECULAR\\n#endif\\n\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float roughness;\\nuniform float metalness;\\nuniform float opacity;\\n\\n#ifdef IOR\\n\\tuniform float ior;\\n#endif\\n\\n#ifdef SPECULAR\\n\\tuniform float specularIntensity;\\n\\tuniform vec3 specularTint;\\n\\n\\t#ifdef USE_SPECULARINTENSITYMAP\\n\\t\\tuniform sampler2D specularIntensityMap;\\n\\t#endif\\n\\n\\t#ifdef USE_SPECULARTINTMAP\\n\\t\\tuniform sampler2D specularTintMap;\\n\\t#endif\\n#endif\\n\\n#ifdef USE_CLEARCOAT\\n\\tuniform float clearcoat;\\n\\tuniform float clearcoatRoughness;\\n#endif\\n\\n#ifdef USE_SHEEN\\n\\tuniform vec3 sheenTint;\\n\\tuniform float sheenRoughness;\\n#endif\\n\\nvarying vec3 vViewPosition;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t// accumulation\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t// modulation\\n\\t#include \\n\\n\\tvec3 totalDiffuse = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse;\\n\\tvec3 totalSpecular = reflectedLight.directSpecular + reflectedLight.indirectSpecular;\\n\\n\\t#include \\n\\n\\tvec3 outgoingLight = totalDiffuse + totalSpecular + totalEmissiveRadiance;\\n\\n\\t#ifdef USE_CLEARCOAT\\n\\n\\t\\tfloat dotNVcc = saturate( dot( geometry.clearcoatNormal, geometry.viewDir ) );\\n\\n\\t\\tvec3 Fcc = F_Schlick( material.clearcoatF0, material.clearcoatF90, dotNVcc );\\n\\n\\t\\toutgoingLight = outgoingLight * ( 1.0 - clearcoat * Fcc ) + clearcoatSpecular * clearcoat;\\n\\n\\t#endif\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/meshtoon.glsl.js\\nvar vertex13 = `\\n#define TOON\\n\\nvarying vec3 vViewPosition;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tvViewPosition = - mvPosition.xyz;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\nvar fragment13 = `\\n#define TOON\\n\\nuniform vec3 diffuse;\\nuniform vec3 emissive;\\nuniform float opacity;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\tReflectedLight reflectedLight = ReflectedLight( vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ), vec3( 0.0 ) );\\n\\tvec3 totalEmissiveRadiance = emissive;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t// accumulation\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t// modulation\\n\\t#include \\n\\n\\tvec3 outgoingLight = reflectedLight.directDiffuse + reflectedLight.indirectDiffuse + totalEmissiveRadiance;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/points.glsl.js\\nvar vertex14 = `\\nuniform float size;\\nuniform float scale;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\tgl_PointSize = size;\\n\\n\\t#ifdef USE_SIZEATTENUATION\\n\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\n\\t\\tif ( isPerspective ) gl_PointSize *= ( scale / - mvPosition.z );\\n\\n\\t#endif\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\nvar fragment14 = `\\nuniform vec3 diffuse;\\nuniform float opacity;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\toutgoingLight = diffuseColor.rgb;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/shadow.glsl.js\\nvar vertex15 = `\\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\nvar fragment15 = `\\nuniform vec3 color;\\nuniform float opacity;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\tgl_FragColor = vec4( color, opacity * ( 1.0 - getShadowMask() ) );\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/sprite.glsl.js\\nvar vertex16 = `\\nuniform float rotation;\\nuniform vec2 center;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec4 mvPosition = modelViewMatrix * vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\n\\tvec2 scale;\\n\\tscale.x = length( vec3( modelMatrix[ 0 ].x, modelMatrix[ 0 ].y, modelMatrix[ 0 ].z ) );\\n\\tscale.y = length( vec3( modelMatrix[ 1 ].x, modelMatrix[ 1 ].y, modelMatrix[ 1 ].z ) );\\n\\n\\t#ifndef USE_SIZEATTENUATION\\n\\n\\t\\tbool isPerspective = isPerspectiveMatrix( projectionMatrix );\\n\\n\\t\\tif ( isPerspective ) scale *= - mvPosition.z;\\n\\n\\t#endif\\n\\n\\tvec2 alignedPosition = ( position.xy - ( center - vec2( 0.5 ) ) ) * scale;\\n\\n\\tvec2 rotatedPosition;\\n\\trotatedPosition.x = cos( rotation ) * alignedPosition.x - sin( rotation ) * alignedPosition.y;\\n\\trotatedPosition.y = sin( rotation ) * alignedPosition.x + cos( rotation ) * alignedPosition.y;\\n\\n\\tmvPosition.xy += rotatedPosition;\\n\\n\\tgl_Position = projectionMatrix * mvPosition;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\nvar fragment16 = `\\nuniform vec3 diffuse;\\nuniform float opacity;\\n\\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n#include \\n\\nvoid main() {\\n\\n\\t#include \\n\\n\\tvec3 outgoingLight = vec3( 0.0 );\\n\\tvec4 diffuseColor = vec4( diffuse, opacity );\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n\\toutgoingLight = diffuseColor.rgb;\\n\\n\\t#include \\n\\t#include \\n\\t#include \\n\\t#include \\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderChunk.js\\nvar ShaderChunk = {\\n alphamap_fragment: alphamap_fragment_glsl_default,\\n alphamap_pars_fragment: alphamap_pars_fragment_glsl_default,\\n alphatest_fragment: alphatest_fragment_glsl_default,\\n alphatest_pars_fragment: alphatest_pars_fragment_glsl_default,\\n aomap_fragment: aomap_fragment_glsl_default,\\n aomap_pars_fragment: aomap_pars_fragment_glsl_default,\\n begin_vertex: begin_vertex_glsl_default,\\n beginnormal_vertex: beginnormal_vertex_glsl_default,\\n bsdfs: bsdfs_glsl_default,\\n bumpmap_pars_fragment: bumpmap_pars_fragment_glsl_default,\\n clipping_planes_fragment: clipping_planes_fragment_glsl_default,\\n clipping_planes_pars_fragment: clipping_planes_pars_fragment_glsl_default,\\n clipping_planes_pars_vertex: clipping_planes_pars_vertex_glsl_default,\\n clipping_planes_vertex: clipping_planes_vertex_glsl_default,\\n color_fragment: color_fragment_glsl_default,\\n color_pars_fragment: color_pars_fragment_glsl_default,\\n color_pars_vertex: color_pars_vertex_glsl_default,\\n color_vertex: color_vertex_glsl_default,\\n common: common_glsl_default,\\n cube_uv_reflection_fragment: cube_uv_reflection_fragment_glsl_default,\\n defaultnormal_vertex: defaultnormal_vertex_glsl_default,\\n displacementmap_pars_vertex: displacementmap_pars_vertex_glsl_default,\\n displacementmap_vertex: displacementmap_vertex_glsl_default,\\n emissivemap_fragment: emissivemap_fragment_glsl_default,\\n emissivemap_pars_fragment: emissivemap_pars_fragment_glsl_default,\\n encodings_fragment: encodings_fragment_glsl_default,\\n encodings_pars_fragment: encodings_pars_fragment_glsl_default,\\n envmap_fragment: envmap_fragment_glsl_default,\\n envmap_common_pars_fragment: envmap_common_pars_fragment_glsl_default,\\n envmap_pars_fragment: envmap_pars_fragment_glsl_default,\\n envmap_pars_vertex: envmap_pars_vertex_glsl_default,\\n envmap_physical_pars_fragment: envmap_physical_pars_fragment_glsl_default,\\n envmap_vertex: envmap_vertex_glsl_default,\\n fog_vertex: fog_vertex_glsl_default,\\n fog_pars_vertex: fog_pars_vertex_glsl_default,\\n fog_fragment: fog_fragment_glsl_default,\\n fog_pars_fragment: fog_pars_fragment_glsl_default,\\n gradientmap_pars_fragment: gradientmap_pars_fragment_glsl_default,\\n lightmap_fragment: lightmap_fragment_glsl_default,\\n lightmap_pars_fragment: lightmap_pars_fragment_glsl_default,\\n lights_lambert_vertex: lights_lambert_vertex_glsl_default,\\n lights_pars_begin: lights_pars_begin_glsl_default,\\n lights_toon_fragment: lights_toon_fragment_glsl_default,\\n lights_toon_pars_fragment: lights_toon_pars_fragment_glsl_default,\\n lights_phong_fragment: lights_phong_fragment_glsl_default,\\n lights_phong_pars_fragment: lights_phong_pars_fragment_glsl_default,\\n lights_physical_fragment: lights_physical_fragment_glsl_default,\\n lights_physical_pars_fragment: lights_physical_pars_fragment_glsl_default,\\n lights_fragment_begin: lights_fragment_begin_glsl_default,\\n lights_fragment_maps: lights_fragment_maps_glsl_default,\\n lights_fragment_end: lights_fragment_end_glsl_default,\\n logdepthbuf_fragment: logdepthbuf_fragment_glsl_default,\\n logdepthbuf_pars_fragment: logdepthbuf_pars_fragment_glsl_default,\\n logdepthbuf_pars_vertex: logdepthbuf_pars_vertex_glsl_default,\\n logdepthbuf_vertex: logdepthbuf_vertex_glsl_default,\\n map_fragment: map_fragment_glsl_default,\\n map_pars_fragment: map_pars_fragment_glsl_default,\\n map_particle_fragment: map_particle_fragment_glsl_default,\\n map_particle_pars_fragment: map_particle_pars_fragment_glsl_default,\\n metalnessmap_fragment: metalnessmap_fragment_glsl_default,\\n metalnessmap_pars_fragment: metalnessmap_pars_fragment_glsl_default,\\n morphnormal_vertex: morphnormal_vertex_glsl_default,\\n morphtarget_pars_vertex: morphtarget_pars_vertex_glsl_default,\\n morphtarget_vertex: morphtarget_vertex_glsl_default,\\n normal_fragment_begin: normal_fragment_begin_glsl_default,\\n normal_fragment_maps: normal_fragment_maps_glsl_default,\\n normal_pars_fragment: normal_pars_fragment_glsl_default,\\n normal_pars_vertex: normal_pars_vertex_glsl_default,\\n normal_vertex: normal_vertex_glsl_default,\\n normalmap_pars_fragment: normalmap_pars_fragment_glsl_default,\\n clearcoat_normal_fragment_begin: clearcoat_normal_fragment_begin_glsl_default,\\n clearcoat_normal_fragment_maps: clearcoat_normal_fragment_maps_glsl_default,\\n clearcoat_pars_fragment: clearcoat_pars_fragment_glsl_default,\\n output_fragment: output_fragment_glsl_default,\\n packing: packing_glsl_default,\\n premultiplied_alpha_fragment: premultiplied_alpha_fragment_glsl_default,\\n project_vertex: project_vertex_glsl_default,\\n dithering_fragment: dithering_fragment_glsl_default,\\n dithering_pars_fragment: dithering_pars_fragment_glsl_default,\\n roughnessmap_fragment: roughnessmap_fragment_glsl_default,\\n roughnessmap_pars_fragment: roughnessmap_pars_fragment_glsl_default,\\n shadowmap_pars_fragment: shadowmap_pars_fragment_glsl_default,\\n shadowmap_pars_vertex: shadowmap_pars_vertex_glsl_default,\\n shadowmap_vertex: shadowmap_vertex_glsl_default,\\n shadowmask_pars_fragment: shadowmask_pars_fragment_glsl_default,\\n skinbase_vertex: skinbase_vertex_glsl_default,\\n skinning_pars_vertex: skinning_pars_vertex_glsl_default,\\n skinning_vertex: skinning_vertex_glsl_default,\\n skinnormal_vertex: skinnormal_vertex_glsl_default,\\n specularmap_fragment: specularmap_fragment_glsl_default,\\n specularmap_pars_fragment: specularmap_pars_fragment_glsl_default,\\n tonemapping_fragment: tonemapping_fragment_glsl_default,\\n tonemapping_pars_fragment: tonemapping_pars_fragment_glsl_default,\\n transmission_fragment: transmission_fragment_glsl_default,\\n transmission_pars_fragment: transmission_pars_fragment_glsl_default,\\n uv_pars_fragment: uv_pars_fragment_glsl_default,\\n uv_pars_vertex: uv_pars_vertex_glsl_default,\\n uv_vertex: uv_vertex_glsl_default,\\n uv2_pars_fragment: uv2_pars_fragment_glsl_default,\\n uv2_pars_vertex: uv2_pars_vertex_glsl_default,\\n uv2_vertex: uv2_vertex_glsl_default,\\n worldpos_vertex: worldpos_vertex_glsl_default,\\n background_vert: vertex,\\n background_frag: fragment,\\n cube_vert: vertex2,\\n cube_frag: fragment2,\\n depth_vert: vertex3,\\n depth_frag: fragment3,\\n distanceRGBA_vert: vertex4,\\n distanceRGBA_frag: fragment4,\\n equirect_vert: vertex5,\\n equirect_frag: fragment5,\\n linedashed_vert: vertex6,\\n linedashed_frag: fragment6,\\n meshbasic_vert: vertex7,\\n meshbasic_frag: fragment7,\\n meshlambert_vert: vertex8,\\n meshlambert_frag: fragment8,\\n meshmatcap_vert: vertex9,\\n meshmatcap_frag: fragment9,\\n meshnormal_vert: vertex10,\\n meshnormal_frag: fragment10,\\n meshphong_vert: vertex11,\\n meshphong_frag: fragment11,\\n meshphysical_vert: vertex12,\\n meshphysical_frag: fragment12,\\n meshtoon_vert: vertex13,\\n meshtoon_frag: fragment13,\\n points_vert: vertex14,\\n points_frag: fragment14,\\n shadow_vert: vertex15,\\n shadow_frag: fragment15,\\n sprite_vert: vertex16,\\n sprite_frag: fragment16\\n};\\n\\n// ../../../node_modules/three/src/renderers/shaders/UniformsLib.js\\nvar UniformsLib = {\\n common: {\\n diffuse: {value: new Color(16777215)},\\n opacity: {value: 1},\\n map: {value: null},\\n uvTransform: {value: new Matrix3()},\\n uv2Transform: {value: new Matrix3()},\\n alphaMap: {value: null},\\n alphaTest: {value: 0}\\n },\\n specularmap: {\\n specularMap: {value: null}\\n },\\n envmap: {\\n envMap: {value: null},\\n flipEnvMap: {value: -1},\\n reflectivity: {value: 1},\\n ior: {value: 1.5},\\n refractionRatio: {value: 0.98},\\n maxMipLevel: {value: 0}\\n },\\n aomap: {\\n aoMap: {value: null},\\n aoMapIntensity: {value: 1}\\n },\\n lightmap: {\\n lightMap: {value: null},\\n lightMapIntensity: {value: 1}\\n },\\n emissivemap: {\\n emissiveMap: {value: null}\\n },\\n bumpmap: {\\n bumpMap: {value: null},\\n bumpScale: {value: 1}\\n },\\n normalmap: {\\n normalMap: {value: null},\\n normalScale: {value: new Vector2(1, 1)}\\n },\\n displacementmap: {\\n displacementMap: {value: null},\\n displacementScale: {value: 1},\\n displacementBias: {value: 0}\\n },\\n roughnessmap: {\\n roughnessMap: {value: null}\\n },\\n metalnessmap: {\\n metalnessMap: {value: null}\\n },\\n gradientmap: {\\n gradientMap: {value: null}\\n },\\n fog: {\\n fogDensity: {value: 25e-5},\\n fogNear: {value: 1},\\n fogFar: {value: 2e3},\\n fogColor: {value: new Color(16777215)}\\n },\\n lights: {\\n ambientLightColor: {value: []},\\n lightProbe: {value: []},\\n directionalLights: {value: [], properties: {\\n direction: {},\\n color: {}\\n }},\\n directionalLightShadows: {value: [], properties: {\\n shadowBias: {},\\n shadowNormalBias: {},\\n shadowRadius: {},\\n shadowMapSize: {}\\n }},\\n directionalShadowMap: {value: []},\\n directionalShadowMatrix: {value: []},\\n spotLights: {value: [], properties: {\\n color: {},\\n position: {},\\n direction: {},\\n distance: {},\\n coneCos: {},\\n penumbraCos: {},\\n decay: {}\\n }},\\n spotLightShadows: {value: [], properties: {\\n shadowBias: {},\\n shadowNormalBias: {},\\n shadowRadius: {},\\n shadowMapSize: {}\\n }},\\n spotShadowMap: {value: []},\\n spotShadowMatrix: {value: []},\\n pointLights: {value: [], properties: {\\n color: {},\\n position: {},\\n decay: {},\\n distance: {}\\n }},\\n pointLightShadows: {value: [], properties: {\\n shadowBias: {},\\n shadowNormalBias: {},\\n shadowRadius: {},\\n shadowMapSize: {},\\n shadowCameraNear: {},\\n shadowCameraFar: {}\\n }},\\n pointShadowMap: {value: []},\\n pointShadowMatrix: {value: []},\\n hemisphereLights: {value: [], properties: {\\n direction: {},\\n skyColor: {},\\n groundColor: {}\\n }},\\n rectAreaLights: {value: [], properties: {\\n color: {},\\n position: {},\\n width: {},\\n height: {}\\n }},\\n ltc_1: {value: null},\\n ltc_2: {value: null}\\n },\\n points: {\\n diffuse: {value: new Color(16777215)},\\n opacity: {value: 1},\\n size: {value: 1},\\n scale: {value: 1},\\n map: {value: null},\\n alphaMap: {value: null},\\n alphaTest: {value: 0},\\n uvTransform: {value: new Matrix3()}\\n },\\n sprite: {\\n diffuse: {value: new Color(16777215)},\\n opacity: {value: 1},\\n center: {value: new Vector2(0.5, 0.5)},\\n rotation: {value: 0},\\n map: {value: null},\\n alphaMap: {value: null},\\n alphaTest: {value: 0},\\n uvTransform: {value: new Matrix3()}\\n }\\n};\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib.js\\nvar ShaderLib = {\\n basic: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.specularmap,\\n UniformsLib.envmap,\\n UniformsLib.aomap,\\n UniformsLib.lightmap,\\n UniformsLib.fog\\n ]),\\n vertexShader: ShaderChunk.meshbasic_vert,\\n fragmentShader: ShaderChunk.meshbasic_frag\\n },\\n lambert: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.specularmap,\\n UniformsLib.envmap,\\n UniformsLib.aomap,\\n UniformsLib.lightmap,\\n UniformsLib.emissivemap,\\n UniformsLib.fog,\\n UniformsLib.lights,\\n {\\n emissive: {value: new Color(0)}\\n }\\n ]),\\n vertexShader: ShaderChunk.meshlambert_vert,\\n fragmentShader: ShaderChunk.meshlambert_frag\\n },\\n phong: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.specularmap,\\n UniformsLib.envmap,\\n UniformsLib.aomap,\\n UniformsLib.lightmap,\\n UniformsLib.emissivemap,\\n UniformsLib.bumpmap,\\n UniformsLib.normalmap,\\n UniformsLib.displacementmap,\\n UniformsLib.fog,\\n UniformsLib.lights,\\n {\\n emissive: {value: new Color(0)},\\n specular: {value: new Color(1118481)},\\n shininess: {value: 30}\\n }\\n ]),\\n vertexShader: ShaderChunk.meshphong_vert,\\n fragmentShader: ShaderChunk.meshphong_frag\\n },\\n standard: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.envmap,\\n UniformsLib.aomap,\\n UniformsLib.lightmap,\\n UniformsLib.emissivemap,\\n UniformsLib.bumpmap,\\n UniformsLib.normalmap,\\n UniformsLib.displacementmap,\\n UniformsLib.roughnessmap,\\n UniformsLib.metalnessmap,\\n UniformsLib.fog,\\n UniformsLib.lights,\\n {\\n emissive: {value: new Color(0)},\\n roughness: {value: 1},\\n metalness: {value: 0},\\n envMapIntensity: {value: 1}\\n }\\n ]),\\n vertexShader: ShaderChunk.meshphysical_vert,\\n fragmentShader: ShaderChunk.meshphysical_frag\\n },\\n toon: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.aomap,\\n UniformsLib.lightmap,\\n UniformsLib.emissivemap,\\n UniformsLib.bumpmap,\\n UniformsLib.normalmap,\\n UniformsLib.displacementmap,\\n UniformsLib.gradientmap,\\n UniformsLib.fog,\\n UniformsLib.lights,\\n {\\n emissive: {value: new Color(0)}\\n }\\n ]),\\n vertexShader: ShaderChunk.meshtoon_vert,\\n fragmentShader: ShaderChunk.meshtoon_frag\\n },\\n matcap: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.bumpmap,\\n UniformsLib.normalmap,\\n UniformsLib.displacementmap,\\n UniformsLib.fog,\\n {\\n matcap: {value: null}\\n }\\n ]),\\n vertexShader: ShaderChunk.meshmatcap_vert,\\n fragmentShader: ShaderChunk.meshmatcap_frag\\n },\\n points: {\\n uniforms: mergeUniforms([\\n UniformsLib.points,\\n UniformsLib.fog\\n ]),\\n vertexShader: ShaderChunk.points_vert,\\n fragmentShader: ShaderChunk.points_frag\\n },\\n dashed: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.fog,\\n {\\n scale: {value: 1},\\n dashSize: {value: 1},\\n totalSize: {value: 2}\\n }\\n ]),\\n vertexShader: ShaderChunk.linedashed_vert,\\n fragmentShader: ShaderChunk.linedashed_frag\\n },\\n depth: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.displacementmap\\n ]),\\n vertexShader: ShaderChunk.depth_vert,\\n fragmentShader: ShaderChunk.depth_frag\\n },\\n normal: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.bumpmap,\\n UniformsLib.normalmap,\\n UniformsLib.displacementmap,\\n {\\n opacity: {value: 1}\\n }\\n ]),\\n vertexShader: ShaderChunk.meshnormal_vert,\\n fragmentShader: ShaderChunk.meshnormal_frag\\n },\\n sprite: {\\n uniforms: mergeUniforms([\\n UniformsLib.sprite,\\n UniformsLib.fog\\n ]),\\n vertexShader: ShaderChunk.sprite_vert,\\n fragmentShader: ShaderChunk.sprite_frag\\n },\\n background: {\\n uniforms: {\\n uvTransform: {value: new Matrix3()},\\n t2D: {value: null}\\n },\\n vertexShader: ShaderChunk.background_vert,\\n fragmentShader: ShaderChunk.background_frag\\n },\\n cube: {\\n uniforms: mergeUniforms([\\n UniformsLib.envmap,\\n {\\n opacity: {value: 1}\\n }\\n ]),\\n vertexShader: ShaderChunk.cube_vert,\\n fragmentShader: ShaderChunk.cube_frag\\n },\\n equirect: {\\n uniforms: {\\n tEquirect: {value: null}\\n },\\n vertexShader: ShaderChunk.equirect_vert,\\n fragmentShader: ShaderChunk.equirect_frag\\n },\\n distanceRGBA: {\\n uniforms: mergeUniforms([\\n UniformsLib.common,\\n UniformsLib.displacementmap,\\n {\\n referencePosition: {value: new Vector3()},\\n nearDistance: {value: 1},\\n farDistance: {value: 1e3}\\n }\\n ]),\\n vertexShader: ShaderChunk.distanceRGBA_vert,\\n fragmentShader: ShaderChunk.distanceRGBA_frag\\n },\\n shadow: {\\n uniforms: mergeUniforms([\\n UniformsLib.lights,\\n UniformsLib.fog,\\n {\\n color: {value: new Color(0)},\\n opacity: {value: 1}\\n }\\n ]),\\n vertexShader: ShaderChunk.shadow_vert,\\n fragmentShader: ShaderChunk.shadow_frag\\n }\\n};\\nShaderLib.physical = {\\n uniforms: mergeUniforms([\\n ShaderLib.standard.uniforms,\\n {\\n clearcoat: {value: 0},\\n clearcoatMap: {value: null},\\n clearcoatRoughness: {value: 0},\\n clearcoatRoughnessMap: {value: null},\\n clearcoatNormalScale: {value: new Vector2(1, 1)},\\n clearcoatNormalMap: {value: null},\\n sheen: {value: 0},\\n sheenTint: {value: new Color(0)},\\n sheenRoughness: {value: 0},\\n transmission: {value: 0},\\n transmissionMap: {value: null},\\n transmissionSamplerSize: {value: new Vector2()},\\n transmissionSamplerMap: {value: null},\\n thickness: {value: 0},\\n thicknessMap: {value: null},\\n attenuationDistance: {value: 0},\\n attenuationTint: {value: new Color(0)},\\n specularIntensity: {value: 0},\\n specularIntensityMap: {value: null},\\n specularTint: {value: new Color(1, 1, 1)},\\n specularTintMap: {value: null}\\n }\\n ]),\\n vertexShader: ShaderChunk.meshphysical_vert,\\n fragmentShader: ShaderChunk.meshphysical_frag\\n};\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLBackground.js\\nfunction WebGLBackground(renderer, cubemaps, state, objects, premultipliedAlpha) {\\n const clearColor = new Color(0);\\n let clearAlpha = 0;\\n let planeMesh;\\n let boxMesh;\\n let currentBackground = null;\\n let currentBackgroundVersion = 0;\\n let currentTonemapping = null;\\n function render(renderList, scene) {\\n let forceClear = false;\\n let background2 = scene.isScene === true ? scene.background : null;\\n if (background2 && background2.isTexture) {\\n background2 = cubemaps.get(background2);\\n }\\n const xr = renderer.xr;\\n const session = xr.getSession && xr.getSession();\\n if (session && session.environmentBlendMode === \\\\\\\"additive\\\\\\\") {\\n background2 = null;\\n }\\n if (background2 === null) {\\n setClear(clearColor, clearAlpha);\\n } else if (background2 && background2.isColor) {\\n setClear(background2, 1);\\n forceClear = true;\\n }\\n if (renderer.autoClear || forceClear) {\\n renderer.clear(renderer.autoClearColor, renderer.autoClearDepth, renderer.autoClearStencil);\\n }\\n if (background2 && (background2.isCubeTexture || background2.mapping === CubeUVReflectionMapping)) {\\n if (boxMesh === void 0) {\\n boxMesh = new Mesh(new BoxGeometry(1, 1, 1), new ShaderMaterial({\\n name: \\\\\\\"BackgroundCubeMaterial\\\\\\\",\\n uniforms: cloneUniforms(ShaderLib.cube.uniforms),\\n vertexShader: ShaderLib.cube.vertexShader,\\n fragmentShader: ShaderLib.cube.fragmentShader,\\n side: BackSide,\\n depthTest: false,\\n depthWrite: false,\\n fog: false\\n }));\\n boxMesh.geometry.deleteAttribute(\\\\\\\"normal\\\\\\\");\\n boxMesh.geometry.deleteAttribute(\\\\\\\"uv\\\\\\\");\\n boxMesh.onBeforeRender = function(renderer2, scene2, camera) {\\n this.matrixWorld.copyPosition(camera.matrixWorld);\\n };\\n Object.defineProperty(boxMesh.material, \\\\\\\"envMap\\\\\\\", {\\n get: function() {\\n return this.uniforms.envMap.value;\\n }\\n });\\n objects.update(boxMesh);\\n }\\n boxMesh.material.uniforms.envMap.value = background2;\\n boxMesh.material.uniforms.flipEnvMap.value = background2.isCubeTexture && background2.isRenderTargetTexture === false ? -1 : 1;\\n if (currentBackground !== background2 || currentBackgroundVersion !== background2.version || currentTonemapping !== renderer.toneMapping) {\\n boxMesh.material.needsUpdate = true;\\n currentBackground = background2;\\n currentBackgroundVersion = background2.version;\\n currentTonemapping = renderer.toneMapping;\\n }\\n renderList.unshift(boxMesh, boxMesh.geometry, boxMesh.material, 0, 0, null);\\n } else if (background2 && background2.isTexture) {\\n if (planeMesh === void 0) {\\n planeMesh = new Mesh(new PlaneGeometry(2, 2), new ShaderMaterial({\\n name: \\\\\\\"BackgroundMaterial\\\\\\\",\\n uniforms: cloneUniforms(ShaderLib.background.uniforms),\\n vertexShader: ShaderLib.background.vertexShader,\\n fragmentShader: ShaderLib.background.fragmentShader,\\n side: FrontSide,\\n depthTest: false,\\n depthWrite: false,\\n fog: false\\n }));\\n planeMesh.geometry.deleteAttribute(\\\\\\\"normal\\\\\\\");\\n Object.defineProperty(planeMesh.material, \\\\\\\"map\\\\\\\", {\\n get: function() {\\n return this.uniforms.t2D.value;\\n }\\n });\\n objects.update(planeMesh);\\n }\\n planeMesh.material.uniforms.t2D.value = background2;\\n if (background2.matrixAutoUpdate === true) {\\n background2.updateMatrix();\\n }\\n planeMesh.material.uniforms.uvTransform.value.copy(background2.matrix);\\n if (currentBackground !== background2 || currentBackgroundVersion !== background2.version || currentTonemapping !== renderer.toneMapping) {\\n planeMesh.material.needsUpdate = true;\\n currentBackground = background2;\\n currentBackgroundVersion = background2.version;\\n currentTonemapping = renderer.toneMapping;\\n }\\n renderList.unshift(planeMesh, planeMesh.geometry, planeMesh.material, 0, 0, null);\\n }\\n }\\n function setClear(color, alpha) {\\n state.buffers.color.setClear(color.r, color.g, color.b, alpha, premultipliedAlpha);\\n }\\n return {\\n getClearColor: function() {\\n return clearColor;\\n },\\n setClearColor: function(color, alpha = 1) {\\n clearColor.set(color);\\n clearAlpha = alpha;\\n setClear(clearColor, clearAlpha);\\n },\\n getClearAlpha: function() {\\n return clearAlpha;\\n },\\n setClearAlpha: function(alpha) {\\n clearAlpha = alpha;\\n setClear(clearColor, clearAlpha);\\n },\\n render\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLBindingStates.js\\nfunction WebGLBindingStates(gl, extensions, attributes, capabilities) {\\n const maxVertexAttributes = gl.getParameter(gl.MAX_VERTEX_ATTRIBS);\\n const extension = capabilities.isWebGL2 ? null : extensions.get(\\\\\\\"OES_vertex_array_object\\\\\\\");\\n const vaoAvailable = capabilities.isWebGL2 || extension !== null;\\n const bindingStates = {};\\n const defaultState = createBindingState(null);\\n let currentState = defaultState;\\n function setup(object, material, program, geometry, index) {\\n let updateBuffers = false;\\n if (vaoAvailable) {\\n const state = getBindingState(geometry, program, material);\\n if (currentState !== state) {\\n currentState = state;\\n bindVertexArrayObject(currentState.object);\\n }\\n updateBuffers = needsUpdate(geometry, index);\\n if (updateBuffers)\\n saveCache(geometry, index);\\n } else {\\n const wireframe = material.wireframe === true;\\n if (currentState.geometry !== geometry.id || currentState.program !== program.id || currentState.wireframe !== wireframe) {\\n currentState.geometry = geometry.id;\\n currentState.program = program.id;\\n currentState.wireframe = wireframe;\\n updateBuffers = true;\\n }\\n }\\n if (object.isInstancedMesh === true) {\\n updateBuffers = true;\\n }\\n if (index !== null) {\\n attributes.update(index, gl.ELEMENT_ARRAY_BUFFER);\\n }\\n if (updateBuffers) {\\n setupVertexAttributes(object, material, program, geometry);\\n if (index !== null) {\\n gl.bindBuffer(gl.ELEMENT_ARRAY_BUFFER, attributes.get(index).buffer);\\n }\\n }\\n }\\n function createVertexArrayObject() {\\n if (capabilities.isWebGL2)\\n return gl.createVertexArray();\\n return extension.createVertexArrayOES();\\n }\\n function bindVertexArrayObject(vao) {\\n if (capabilities.isWebGL2)\\n return gl.bindVertexArray(vao);\\n return extension.bindVertexArrayOES(vao);\\n }\\n function deleteVertexArrayObject(vao) {\\n if (capabilities.isWebGL2)\\n return gl.deleteVertexArray(vao);\\n return extension.deleteVertexArrayOES(vao);\\n }\\n function getBindingState(geometry, program, material) {\\n const wireframe = material.wireframe === true;\\n let programMap = bindingStates[geometry.id];\\n if (programMap === void 0) {\\n programMap = {};\\n bindingStates[geometry.id] = programMap;\\n }\\n let stateMap = programMap[program.id];\\n if (stateMap === void 0) {\\n stateMap = {};\\n programMap[program.id] = stateMap;\\n }\\n let state = stateMap[wireframe];\\n if (state === void 0) {\\n state = createBindingState(createVertexArrayObject());\\n stateMap[wireframe] = state;\\n }\\n return state;\\n }\\n function createBindingState(vao) {\\n const newAttributes = [];\\n const enabledAttributes = [];\\n const attributeDivisors = [];\\n for (let i = 0; i < maxVertexAttributes; i++) {\\n newAttributes[i] = 0;\\n enabledAttributes[i] = 0;\\n attributeDivisors[i] = 0;\\n }\\n return {\\n geometry: null,\\n program: null,\\n wireframe: false,\\n newAttributes,\\n enabledAttributes,\\n attributeDivisors,\\n object: vao,\\n attributes: {},\\n index: null\\n };\\n }\\n function needsUpdate(geometry, index) {\\n const cachedAttributes = currentState.attributes;\\n const geometryAttributes = geometry.attributes;\\n let attributesNum = 0;\\n for (const key in geometryAttributes) {\\n const cachedAttribute = cachedAttributes[key];\\n const geometryAttribute = geometryAttributes[key];\\n if (cachedAttribute === void 0)\\n return true;\\n if (cachedAttribute.attribute !== geometryAttribute)\\n return true;\\n if (cachedAttribute.data !== geometryAttribute.data)\\n return true;\\n attributesNum++;\\n }\\n if (currentState.attributesNum !== attributesNum)\\n return true;\\n if (currentState.index !== index)\\n return true;\\n return false;\\n }\\n function saveCache(geometry, index) {\\n const cache = {};\\n const attributes2 = geometry.attributes;\\n let attributesNum = 0;\\n for (const key in attributes2) {\\n const attribute = attributes2[key];\\n const data = {};\\n data.attribute = attribute;\\n if (attribute.data) {\\n data.data = attribute.data;\\n }\\n cache[key] = data;\\n attributesNum++;\\n }\\n currentState.attributes = cache;\\n currentState.attributesNum = attributesNum;\\n currentState.index = index;\\n }\\n function initAttributes() {\\n const newAttributes = currentState.newAttributes;\\n for (let i = 0, il = newAttributes.length; i < il; i++) {\\n newAttributes[i] = 0;\\n }\\n }\\n function enableAttribute(attribute) {\\n enableAttributeAndDivisor(attribute, 0);\\n }\\n function enableAttributeAndDivisor(attribute, meshPerAttribute) {\\n const newAttributes = currentState.newAttributes;\\n const enabledAttributes = currentState.enabledAttributes;\\n const attributeDivisors = currentState.attributeDivisors;\\n newAttributes[attribute] = 1;\\n if (enabledAttributes[attribute] === 0) {\\n gl.enableVertexAttribArray(attribute);\\n enabledAttributes[attribute] = 1;\\n }\\n if (attributeDivisors[attribute] !== meshPerAttribute) {\\n const extension2 = capabilities.isWebGL2 ? gl : extensions.get(\\\\\\\"ANGLE_instanced_arrays\\\\\\\");\\n extension2[capabilities.isWebGL2 ? \\\\\\\"vertexAttribDivisor\\\\\\\" : \\\\\\\"vertexAttribDivisorANGLE\\\\\\\"](attribute, meshPerAttribute);\\n attributeDivisors[attribute] = meshPerAttribute;\\n }\\n }\\n function disableUnusedAttributes() {\\n const newAttributes = currentState.newAttributes;\\n const enabledAttributes = currentState.enabledAttributes;\\n for (let i = 0, il = enabledAttributes.length; i < il; i++) {\\n if (enabledAttributes[i] !== newAttributes[i]) {\\n gl.disableVertexAttribArray(i);\\n enabledAttributes[i] = 0;\\n }\\n }\\n }\\n function vertexAttribPointer(index, size, type, normalized, stride, offset) {\\n if (capabilities.isWebGL2 === true && (type === gl.INT || type === gl.UNSIGNED_INT)) {\\n gl.vertexAttribIPointer(index, size, type, stride, offset);\\n } else {\\n gl.vertexAttribPointer(index, size, type, normalized, stride, offset);\\n }\\n }\\n function setupVertexAttributes(object, material, program, geometry) {\\n if (capabilities.isWebGL2 === false && (object.isInstancedMesh || geometry.isInstancedBufferGeometry)) {\\n if (extensions.get(\\\\\\\"ANGLE_instanced_arrays\\\\\\\") === null)\\n return;\\n }\\n initAttributes();\\n const geometryAttributes = geometry.attributes;\\n const programAttributes = program.getAttributes();\\n const materialDefaultAttributeValues = material.defaultAttributeValues;\\n for (const name in programAttributes) {\\n const programAttribute = programAttributes[name];\\n if (programAttribute.location >= 0) {\\n let geometryAttribute = geometryAttributes[name];\\n if (geometryAttribute === void 0) {\\n if (name === \\\\\\\"instanceMatrix\\\\\\\" && object.instanceMatrix)\\n geometryAttribute = object.instanceMatrix;\\n if (name === \\\\\\\"instanceColor\\\\\\\" && object.instanceColor)\\n geometryAttribute = object.instanceColor;\\n }\\n if (geometryAttribute !== void 0) {\\n const normalized = geometryAttribute.normalized;\\n const size = geometryAttribute.itemSize;\\n const attribute = attributes.get(geometryAttribute);\\n if (attribute === void 0)\\n continue;\\n const buffer = attribute.buffer;\\n const type = attribute.type;\\n const bytesPerElement = attribute.bytesPerElement;\\n if (geometryAttribute.isInterleavedBufferAttribute) {\\n const data = geometryAttribute.data;\\n const stride = data.stride;\\n const offset = geometryAttribute.offset;\\n if (data && data.isInstancedInterleavedBuffer) {\\n for (let i = 0; i < programAttribute.locationSize; i++) {\\n enableAttributeAndDivisor(programAttribute.location + i, data.meshPerAttribute);\\n }\\n if (object.isInstancedMesh !== true && geometry._maxInstanceCount === void 0) {\\n geometry._maxInstanceCount = data.meshPerAttribute * data.count;\\n }\\n } else {\\n for (let i = 0; i < programAttribute.locationSize; i++) {\\n enableAttribute(programAttribute.location + i);\\n }\\n }\\n gl.bindBuffer(gl.ARRAY_BUFFER, buffer);\\n for (let i = 0; i < programAttribute.locationSize; i++) {\\n vertexAttribPointer(programAttribute.location + i, size / programAttribute.locationSize, type, normalized, stride * bytesPerElement, (offset + size / programAttribute.locationSize * i) * bytesPerElement);\\n }\\n } else {\\n if (geometryAttribute.isInstancedBufferAttribute) {\\n for (let i = 0; i < programAttribute.locationSize; i++) {\\n enableAttributeAndDivisor(programAttribute.location + i, geometryAttribute.meshPerAttribute);\\n }\\n if (object.isInstancedMesh !== true && geometry._maxInstanceCount === void 0) {\\n geometry._maxInstanceCount = geometryAttribute.meshPerAttribute * geometryAttribute.count;\\n }\\n } else {\\n for (let i = 0; i < programAttribute.locationSize; i++) {\\n enableAttribute(programAttribute.location + i);\\n }\\n }\\n gl.bindBuffer(gl.ARRAY_BUFFER, buffer);\\n for (let i = 0; i < programAttribute.locationSize; i++) {\\n vertexAttribPointer(programAttribute.location + i, size / programAttribute.locationSize, type, normalized, size * bytesPerElement, size / programAttribute.locationSize * i * bytesPerElement);\\n }\\n }\\n } else if (materialDefaultAttributeValues !== void 0) {\\n const value = materialDefaultAttributeValues[name];\\n if (value !== void 0) {\\n switch (value.length) {\\n case 2:\\n gl.vertexAttrib2fv(programAttribute.location, value);\\n break;\\n case 3:\\n gl.vertexAttrib3fv(programAttribute.location, value);\\n break;\\n case 4:\\n gl.vertexAttrib4fv(programAttribute.location, value);\\n break;\\n default:\\n gl.vertexAttrib1fv(programAttribute.location, value);\\n }\\n }\\n }\\n }\\n }\\n disableUnusedAttributes();\\n }\\n function dispose() {\\n reset();\\n for (const geometryId in bindingStates) {\\n const programMap = bindingStates[geometryId];\\n for (const programId in programMap) {\\n const stateMap = programMap[programId];\\n for (const wireframe in stateMap) {\\n deleteVertexArrayObject(stateMap[wireframe].object);\\n delete stateMap[wireframe];\\n }\\n delete programMap[programId];\\n }\\n delete bindingStates[geometryId];\\n }\\n }\\n function releaseStatesOfGeometry(geometry) {\\n if (bindingStates[geometry.id] === void 0)\\n return;\\n const programMap = bindingStates[geometry.id];\\n for (const programId in programMap) {\\n const stateMap = programMap[programId];\\n for (const wireframe in stateMap) {\\n deleteVertexArrayObject(stateMap[wireframe].object);\\n delete stateMap[wireframe];\\n }\\n delete programMap[programId];\\n }\\n delete bindingStates[geometry.id];\\n }\\n function releaseStatesOfProgram(program) {\\n for (const geometryId in bindingStates) {\\n const programMap = bindingStates[geometryId];\\n if (programMap[program.id] === void 0)\\n continue;\\n const stateMap = programMap[program.id];\\n for (const wireframe in stateMap) {\\n deleteVertexArrayObject(stateMap[wireframe].object);\\n delete stateMap[wireframe];\\n }\\n delete programMap[program.id];\\n }\\n }\\n function reset() {\\n resetDefaultState();\\n if (currentState === defaultState)\\n return;\\n currentState = defaultState;\\n bindVertexArrayObject(currentState.object);\\n }\\n function resetDefaultState() {\\n defaultState.geometry = null;\\n defaultState.program = null;\\n defaultState.wireframe = false;\\n }\\n return {\\n setup,\\n reset,\\n resetDefaultState,\\n dispose,\\n releaseStatesOfGeometry,\\n releaseStatesOfProgram,\\n initAttributes,\\n enableAttribute,\\n disableUnusedAttributes\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLBufferRenderer.js\\nfunction WebGLBufferRenderer(gl, extensions, info, capabilities) {\\n const isWebGL2 = capabilities.isWebGL2;\\n let mode;\\n function setMode(value) {\\n mode = value;\\n }\\n function render(start, count) {\\n gl.drawArrays(mode, start, count);\\n info.update(count, mode, 1);\\n }\\n function renderInstances(start, count, primcount) {\\n if (primcount === 0)\\n return;\\n let extension, methodName;\\n if (isWebGL2) {\\n extension = gl;\\n methodName = \\\\\\\"drawArraysInstanced\\\\\\\";\\n } else {\\n extension = extensions.get(\\\\\\\"ANGLE_instanced_arrays\\\\\\\");\\n methodName = \\\\\\\"drawArraysInstancedANGLE\\\\\\\";\\n if (extension === null) {\\n console.error(\\\\\\\"THREE.WebGLBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.\\\\\\\");\\n return;\\n }\\n }\\n extension[methodName](mode, start, count, primcount);\\n info.update(count, mode, primcount);\\n }\\n this.setMode = setMode;\\n this.render = render;\\n this.renderInstances = renderInstances;\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLCapabilities.js\\nfunction WebGLCapabilities(gl, extensions, parameters) {\\n let maxAnisotropy;\\n function getMaxAnisotropy() {\\n if (maxAnisotropy !== void 0)\\n return maxAnisotropy;\\n if (extensions.has(\\\\\\\"EXT_texture_filter_anisotropic\\\\\\\") === true) {\\n const extension = extensions.get(\\\\\\\"EXT_texture_filter_anisotropic\\\\\\\");\\n maxAnisotropy = gl.getParameter(extension.MAX_TEXTURE_MAX_ANISOTROPY_EXT);\\n } else {\\n maxAnisotropy = 0;\\n }\\n return maxAnisotropy;\\n }\\n function getMaxPrecision(precision2) {\\n if (precision2 === \\\\\\\"highp\\\\\\\") {\\n if (gl.getShaderPrecisionFormat(gl.VERTEX_SHADER, gl.HIGH_FLOAT).precision > 0 && gl.getShaderPrecisionFormat(gl.FRAGMENT_SHADER, gl.HIGH_FLOAT).precision > 0) {\\n return \\\\\\\"highp\\\\\\\";\\n }\\n precision2 = \\\\\\\"mediump\\\\\\\";\\n }\\n if (precision2 === \\\\\\\"mediump\\\\\\\") {\\n if (gl.getShaderPrecisionFormat(gl.VERTEX_SHADER, gl.MEDIUM_FLOAT).precision > 0 && gl.getShaderPrecisionFormat(gl.FRAGMENT_SHADER, gl.MEDIUM_FLOAT).precision > 0) {\\n return \\\\\\\"mediump\\\\\\\";\\n }\\n }\\n return \\\\\\\"lowp\\\\\\\";\\n }\\n const isWebGL2 = typeof WebGL2RenderingContext !== \\\\\\\"undefined\\\\\\\" && gl instanceof WebGL2RenderingContext || typeof WebGL2ComputeRenderingContext !== \\\\\\\"undefined\\\\\\\" && gl instanceof WebGL2ComputeRenderingContext;\\n let precision = parameters.precision !== void 0 ? parameters.precision : \\\\\\\"highp\\\\\\\";\\n const maxPrecision = getMaxPrecision(precision);\\n if (maxPrecision !== precision) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer:\\\\\\\", precision, \\\\\\\"not supported, using\\\\\\\", maxPrecision, \\\\\\\"instead.\\\\\\\");\\n precision = maxPrecision;\\n }\\n const drawBuffers = isWebGL2 || extensions.has(\\\\\\\"WEBGL_draw_buffers\\\\\\\");\\n const logarithmicDepthBuffer = parameters.logarithmicDepthBuffer === true;\\n const maxTextures = gl.getParameter(gl.MAX_TEXTURE_IMAGE_UNITS);\\n const maxVertexTextures = gl.getParameter(gl.MAX_VERTEX_TEXTURE_IMAGE_UNITS);\\n const maxTextureSize = gl.getParameter(gl.MAX_TEXTURE_SIZE);\\n const maxCubemapSize = gl.getParameter(gl.MAX_CUBE_MAP_TEXTURE_SIZE);\\n const maxAttributes = gl.getParameter(gl.MAX_VERTEX_ATTRIBS);\\n const maxVertexUniforms = gl.getParameter(gl.MAX_VERTEX_UNIFORM_VECTORS);\\n const maxVaryings = gl.getParameter(gl.MAX_VARYING_VECTORS);\\n const maxFragmentUniforms = gl.getParameter(gl.MAX_FRAGMENT_UNIFORM_VECTORS);\\n const vertexTextures = maxVertexTextures > 0;\\n const floatFragmentTextures = isWebGL2 || extensions.has(\\\\\\\"OES_texture_float\\\\\\\");\\n const floatVertexTextures = vertexTextures && floatFragmentTextures;\\n const maxSamples = isWebGL2 ? gl.getParameter(gl.MAX_SAMPLES) : 0;\\n return {\\n isWebGL2,\\n drawBuffers,\\n getMaxAnisotropy,\\n getMaxPrecision,\\n precision,\\n logarithmicDepthBuffer,\\n maxTextures,\\n maxVertexTextures,\\n maxTextureSize,\\n maxCubemapSize,\\n maxAttributes,\\n maxVertexUniforms,\\n maxVaryings,\\n maxFragmentUniforms,\\n vertexTextures,\\n floatFragmentTextures,\\n floatVertexTextures,\\n maxSamples\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLClipping.js\\nfunction WebGLClipping(properties) {\\n const scope = this;\\n let globalState = null, numGlobalPlanes = 0, localClippingEnabled = false, renderingShadows = false;\\n const plane = new Plane(), viewNormalMatrix = new Matrix3(), uniform = {value: null, needsUpdate: false};\\n this.uniform = uniform;\\n this.numPlanes = 0;\\n this.numIntersection = 0;\\n this.init = function(planes, enableLocalClipping, camera) {\\n const enabled = planes.length !== 0 || enableLocalClipping || numGlobalPlanes !== 0 || localClippingEnabled;\\n localClippingEnabled = enableLocalClipping;\\n globalState = projectPlanes(planes, camera, 0);\\n numGlobalPlanes = planes.length;\\n return enabled;\\n };\\n this.beginShadows = function() {\\n renderingShadows = true;\\n projectPlanes(null);\\n };\\n this.endShadows = function() {\\n renderingShadows = false;\\n resetGlobalState();\\n };\\n this.setState = function(material, camera, useCache) {\\n const planes = material.clippingPlanes, clipIntersection = material.clipIntersection, clipShadows = material.clipShadows;\\n const materialProperties = properties.get(material);\\n if (!localClippingEnabled || planes === null || planes.length === 0 || renderingShadows && !clipShadows) {\\n if (renderingShadows) {\\n projectPlanes(null);\\n } else {\\n resetGlobalState();\\n }\\n } else {\\n const nGlobal = renderingShadows ? 0 : numGlobalPlanes, lGlobal = nGlobal * 4;\\n let dstArray = materialProperties.clippingState || null;\\n uniform.value = dstArray;\\n dstArray = projectPlanes(planes, camera, lGlobal, useCache);\\n for (let i = 0; i !== lGlobal; ++i) {\\n dstArray[i] = globalState[i];\\n }\\n materialProperties.clippingState = dstArray;\\n this.numIntersection = clipIntersection ? this.numPlanes : 0;\\n this.numPlanes += nGlobal;\\n }\\n };\\n function resetGlobalState() {\\n if (uniform.value !== globalState) {\\n uniform.value = globalState;\\n uniform.needsUpdate = numGlobalPlanes > 0;\\n }\\n scope.numPlanes = numGlobalPlanes;\\n scope.numIntersection = 0;\\n }\\n function projectPlanes(planes, camera, dstOffset, skipTransform) {\\n const nPlanes = planes !== null ? planes.length : 0;\\n let dstArray = null;\\n if (nPlanes !== 0) {\\n dstArray = uniform.value;\\n if (skipTransform !== true || dstArray === null) {\\n const flatSize = dstOffset + nPlanes * 4, viewMatrix = camera.matrixWorldInverse;\\n viewNormalMatrix.getNormalMatrix(viewMatrix);\\n if (dstArray === null || dstArray.length < flatSize) {\\n dstArray = new Float32Array(flatSize);\\n }\\n for (let i = 0, i4 = dstOffset; i !== nPlanes; ++i, i4 += 4) {\\n plane.copy(planes[i]).applyMatrix4(viewMatrix, viewNormalMatrix);\\n plane.normal.toArray(dstArray, i4);\\n dstArray[i4 + 3] = plane.constant;\\n }\\n }\\n uniform.value = dstArray;\\n uniform.needsUpdate = true;\\n }\\n scope.numPlanes = nPlanes;\\n scope.numIntersection = 0;\\n return dstArray;\\n }\\n}\\n\\n// ../../../node_modules/three/src/extras/ImageUtils.js\\nvar _canvas;\\nvar ImageUtils = class {\\n static getDataURL(image) {\\n if (/^data:/i.test(image.src)) {\\n return image.src;\\n }\\n if (typeof HTMLCanvasElement == \\\\\\\"undefined\\\\\\\") {\\n return image.src;\\n }\\n let canvas;\\n if (image instanceof HTMLCanvasElement) {\\n canvas = image;\\n } else {\\n if (_canvas === void 0)\\n _canvas = createElementNS(\\\\\\\"canvas\\\\\\\");\\n _canvas.width = image.width;\\n _canvas.height = image.height;\\n const context = _canvas.getContext(\\\\\\\"2d\\\\\\\");\\n if (image instanceof ImageData) {\\n context.putImageData(image, 0, 0);\\n } else {\\n context.drawImage(image, 0, 0, image.width, image.height);\\n }\\n canvas = _canvas;\\n }\\n if (canvas.width > 2048 || canvas.height > 2048) {\\n console.warn(\\\\\\\"THREE.ImageUtils.getDataURL: Image converted to jpg for performance reasons\\\\\\\", image);\\n return canvas.toDataURL(\\\\\\\"image/jpeg\\\\\\\", 0.6);\\n } else {\\n return canvas.toDataURL(\\\\\\\"image/png\\\\\\\");\\n }\\n }\\n};\\n\\n// ../../../node_modules/three/src/textures/Texture.js\\nvar textureId = 0;\\nvar Texture = class extends EventDispatcher {\\n constructor(image = Texture.DEFAULT_IMAGE, mapping = Texture.DEFAULT_MAPPING, wrapS = ClampToEdgeWrapping, wrapT = ClampToEdgeWrapping, magFilter = LinearFilter, minFilter = LinearMipmapLinearFilter, format = RGBAFormat, type = UnsignedByteType, anisotropy = 1, encoding = LinearEncoding) {\\n super();\\n Object.defineProperty(this, \\\\\\\"id\\\\\\\", {value: textureId++});\\n this.uuid = generateUUID();\\n this.name = \\\\\\\"\\\\\\\";\\n this.image = image;\\n this.mipmaps = [];\\n this.mapping = mapping;\\n this.wrapS = wrapS;\\n this.wrapT = wrapT;\\n this.magFilter = magFilter;\\n this.minFilter = minFilter;\\n this.anisotropy = anisotropy;\\n this.format = format;\\n this.internalFormat = null;\\n this.type = type;\\n this.offset = new Vector2(0, 0);\\n this.repeat = new Vector2(1, 1);\\n this.center = new Vector2(0, 0);\\n this.rotation = 0;\\n this.matrixAutoUpdate = true;\\n this.matrix = new Matrix3();\\n this.generateMipmaps = true;\\n this.premultiplyAlpha = false;\\n this.flipY = true;\\n this.unpackAlignment = 4;\\n this.encoding = encoding;\\n this.version = 0;\\n this.onUpdate = null;\\n this.isRenderTargetTexture = false;\\n }\\n updateMatrix() {\\n this.matrix.setUvTransform(this.offset.x, this.offset.y, this.repeat.x, this.repeat.y, this.rotation, this.center.x, this.center.y);\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n copy(source) {\\n this.name = source.name;\\n this.image = source.image;\\n this.mipmaps = source.mipmaps.slice(0);\\n this.mapping = source.mapping;\\n this.wrapS = source.wrapS;\\n this.wrapT = source.wrapT;\\n this.magFilter = source.magFilter;\\n this.minFilter = source.minFilter;\\n this.anisotropy = source.anisotropy;\\n this.format = source.format;\\n this.internalFormat = source.internalFormat;\\n this.type = source.type;\\n this.offset.copy(source.offset);\\n this.repeat.copy(source.repeat);\\n this.center.copy(source.center);\\n this.rotation = source.rotation;\\n this.matrixAutoUpdate = source.matrixAutoUpdate;\\n this.matrix.copy(source.matrix);\\n this.generateMipmaps = source.generateMipmaps;\\n this.premultiplyAlpha = source.premultiplyAlpha;\\n this.flipY = source.flipY;\\n this.unpackAlignment = source.unpackAlignment;\\n this.encoding = source.encoding;\\n return this;\\n }\\n toJSON(meta) {\\n const isRootObject = meta === void 0 || typeof meta === \\\\\\\"string\\\\\\\";\\n if (!isRootObject && meta.textures[this.uuid] !== void 0) {\\n return meta.textures[this.uuid];\\n }\\n const output = {\\n metadata: {\\n version: 4.5,\\n type: \\\\\\\"Texture\\\\\\\",\\n generator: \\\\\\\"Texture.toJSON\\\\\\\"\\n },\\n uuid: this.uuid,\\n name: this.name,\\n mapping: this.mapping,\\n repeat: [this.repeat.x, this.repeat.y],\\n offset: [this.offset.x, this.offset.y],\\n center: [this.center.x, this.center.y],\\n rotation: this.rotation,\\n wrap: [this.wrapS, this.wrapT],\\n format: this.format,\\n type: this.type,\\n encoding: this.encoding,\\n minFilter: this.minFilter,\\n magFilter: this.magFilter,\\n anisotropy: this.anisotropy,\\n flipY: this.flipY,\\n premultiplyAlpha: this.premultiplyAlpha,\\n unpackAlignment: this.unpackAlignment\\n };\\n if (this.image !== void 0) {\\n const image = this.image;\\n if (image.uuid === void 0) {\\n image.uuid = generateUUID();\\n }\\n if (!isRootObject && meta.images[image.uuid] === void 0) {\\n let url;\\n if (Array.isArray(image)) {\\n url = [];\\n for (let i = 0, l = image.length; i < l; i++) {\\n if (image[i].isDataTexture) {\\n url.push(serializeImage(image[i].image));\\n } else {\\n url.push(serializeImage(image[i]));\\n }\\n }\\n } else {\\n url = serializeImage(image);\\n }\\n meta.images[image.uuid] = {\\n uuid: image.uuid,\\n url\\n };\\n }\\n output.image = image.uuid;\\n }\\n if (!isRootObject) {\\n meta.textures[this.uuid] = output;\\n }\\n return output;\\n }\\n dispose() {\\n this.dispatchEvent({type: \\\\\\\"dispose\\\\\\\"});\\n }\\n transformUv(uv) {\\n if (this.mapping !== UVMapping)\\n return uv;\\n uv.applyMatrix3(this.matrix);\\n if (uv.x < 0 || uv.x > 1) {\\n switch (this.wrapS) {\\n case RepeatWrapping:\\n uv.x = uv.x - Math.floor(uv.x);\\n break;\\n case ClampToEdgeWrapping:\\n uv.x = uv.x < 0 ? 0 : 1;\\n break;\\n case MirroredRepeatWrapping:\\n if (Math.abs(Math.floor(uv.x) % 2) === 1) {\\n uv.x = Math.ceil(uv.x) - uv.x;\\n } else {\\n uv.x = uv.x - Math.floor(uv.x);\\n }\\n break;\\n }\\n }\\n if (uv.y < 0 || uv.y > 1) {\\n switch (this.wrapT) {\\n case RepeatWrapping:\\n uv.y = uv.y - Math.floor(uv.y);\\n break;\\n case ClampToEdgeWrapping:\\n uv.y = uv.y < 0 ? 0 : 1;\\n break;\\n case MirroredRepeatWrapping:\\n if (Math.abs(Math.floor(uv.y) % 2) === 1) {\\n uv.y = Math.ceil(uv.y) - uv.y;\\n } else {\\n uv.y = uv.y - Math.floor(uv.y);\\n }\\n break;\\n }\\n }\\n if (this.flipY) {\\n uv.y = 1 - uv.y;\\n }\\n return uv;\\n }\\n set needsUpdate(value) {\\n if (value === true)\\n this.version++;\\n }\\n};\\nTexture.DEFAULT_IMAGE = void 0;\\nTexture.DEFAULT_MAPPING = UVMapping;\\nTexture.prototype.isTexture = true;\\nfunction serializeImage(image) {\\n if (typeof HTMLImageElement !== \\\\\\\"undefined\\\\\\\" && image instanceof HTMLImageElement || typeof HTMLCanvasElement !== \\\\\\\"undefined\\\\\\\" && image instanceof HTMLCanvasElement || typeof ImageBitmap !== \\\\\\\"undefined\\\\\\\" && image instanceof ImageBitmap) {\\n return ImageUtils.getDataURL(image);\\n } else {\\n if (image.data) {\\n return {\\n data: Array.prototype.slice.call(image.data),\\n width: image.width,\\n height: image.height,\\n type: image.data.constructor.name\\n };\\n } else {\\n console.warn(\\\\\\\"THREE.Texture: Unable to serialize Texture.\\\\\\\");\\n return {};\\n }\\n }\\n}\\n\\n// ../../../node_modules/three/src/renderers/WebGLRenderTarget.js\\nvar WebGLRenderTarget = class extends EventDispatcher {\\n constructor(width, height, options = {}) {\\n super();\\n this.width = width;\\n this.height = height;\\n this.depth = 1;\\n this.scissor = new Vector4(0, 0, width, height);\\n this.scissorTest = false;\\n this.viewport = new Vector4(0, 0, width, height);\\n this.texture = new Texture(void 0, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.encoding);\\n this.texture.isRenderTargetTexture = true;\\n this.texture.image = {width, height, depth: 1};\\n this.texture.generateMipmaps = options.generateMipmaps !== void 0 ? options.generateMipmaps : false;\\n this.texture.internalFormat = options.internalFormat !== void 0 ? options.internalFormat : null;\\n this.texture.minFilter = options.minFilter !== void 0 ? options.minFilter : LinearFilter;\\n this.depthBuffer = options.depthBuffer !== void 0 ? options.depthBuffer : true;\\n this.stencilBuffer = options.stencilBuffer !== void 0 ? options.stencilBuffer : false;\\n this.depthTexture = options.depthTexture !== void 0 ? options.depthTexture : null;\\n }\\n setTexture(texture) {\\n texture.image = {\\n width: this.width,\\n height: this.height,\\n depth: this.depth\\n };\\n this.texture = texture;\\n }\\n setSize(width, height, depth2 = 1) {\\n if (this.width !== width || this.height !== height || this.depth !== depth2) {\\n this.width = width;\\n this.height = height;\\n this.depth = depth2;\\n this.texture.image.width = width;\\n this.texture.image.height = height;\\n this.texture.image.depth = depth2;\\n this.dispose();\\n }\\n this.viewport.set(0, 0, width, height);\\n this.scissor.set(0, 0, width, height);\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n copy(source) {\\n this.width = source.width;\\n this.height = source.height;\\n this.depth = source.depth;\\n this.viewport.copy(source.viewport);\\n this.texture = source.texture.clone();\\n this.texture.image = {...this.texture.image};\\n this.depthBuffer = source.depthBuffer;\\n this.stencilBuffer = source.stencilBuffer;\\n this.depthTexture = source.depthTexture;\\n return this;\\n }\\n dispose() {\\n this.dispatchEvent({type: \\\\\\\"dispose\\\\\\\"});\\n }\\n};\\nWebGLRenderTarget.prototype.isWebGLRenderTarget = true;\\n\\n// ../../../node_modules/three/src/cameras/Camera.js\\nvar Camera = class extends Object3D {\\n constructor() {\\n super();\\n this.type = \\\\\\\"Camera\\\\\\\";\\n this.matrixWorldInverse = new Matrix4();\\n this.projectionMatrix = new Matrix4();\\n this.projectionMatrixInverse = new Matrix4();\\n }\\n copy(source, recursive) {\\n super.copy(source, recursive);\\n this.matrixWorldInverse.copy(source.matrixWorldInverse);\\n this.projectionMatrix.copy(source.projectionMatrix);\\n this.projectionMatrixInverse.copy(source.projectionMatrixInverse);\\n return this;\\n }\\n getWorldDirection(target) {\\n this.updateWorldMatrix(true, false);\\n const e = this.matrixWorld.elements;\\n return target.set(-e[8], -e[9], -e[10]).normalize();\\n }\\n updateMatrixWorld(force) {\\n super.updateMatrixWorld(force);\\n this.matrixWorldInverse.copy(this.matrixWorld).invert();\\n }\\n updateWorldMatrix(updateParents, updateChildren) {\\n super.updateWorldMatrix(updateParents, updateChildren);\\n this.matrixWorldInverse.copy(this.matrixWorld).invert();\\n }\\n clone() {\\n return new this.constructor().copy(this);\\n }\\n};\\nCamera.prototype.isCamera = true;\\n\\n// ../../../node_modules/three/src/cameras/PerspectiveCamera.js\\nvar PerspectiveCamera = class extends Camera {\\n constructor(fov2 = 50, aspect2 = 1, near = 0.1, far = 2e3) {\\n super();\\n this.type = \\\\\\\"PerspectiveCamera\\\\\\\";\\n this.fov = fov2;\\n this.zoom = 1;\\n this.near = near;\\n this.far = far;\\n this.focus = 10;\\n this.aspect = aspect2;\\n this.view = null;\\n this.filmGauge = 35;\\n this.filmOffset = 0;\\n this.updateProjectionMatrix();\\n }\\n copy(source, recursive) {\\n super.copy(source, recursive);\\n this.fov = source.fov;\\n this.zoom = source.zoom;\\n this.near = source.near;\\n this.far = source.far;\\n this.focus = source.focus;\\n this.aspect = source.aspect;\\n this.view = source.view === null ? null : Object.assign({}, source.view);\\n this.filmGauge = source.filmGauge;\\n this.filmOffset = source.filmOffset;\\n return this;\\n }\\n setFocalLength(focalLength) {\\n const vExtentSlope = 0.5 * this.getFilmHeight() / focalLength;\\n this.fov = RAD2DEG * 2 * Math.atan(vExtentSlope);\\n this.updateProjectionMatrix();\\n }\\n getFocalLength() {\\n const vExtentSlope = Math.tan(DEG2RAD * 0.5 * this.fov);\\n return 0.5 * this.getFilmHeight() / vExtentSlope;\\n }\\n getEffectiveFOV() {\\n return RAD2DEG * 2 * Math.atan(Math.tan(DEG2RAD * 0.5 * this.fov) / this.zoom);\\n }\\n getFilmWidth() {\\n return this.filmGauge * Math.min(this.aspect, 1);\\n }\\n getFilmHeight() {\\n return this.filmGauge / Math.max(this.aspect, 1);\\n }\\n setViewOffset(fullWidth, fullHeight, x, y, width, height) {\\n this.aspect = fullWidth / fullHeight;\\n if (this.view === null) {\\n this.view = {\\n enabled: true,\\n fullWidth: 1,\\n fullHeight: 1,\\n offsetX: 0,\\n offsetY: 0,\\n width: 1,\\n height: 1\\n };\\n }\\n this.view.enabled = true;\\n this.view.fullWidth = fullWidth;\\n this.view.fullHeight = fullHeight;\\n this.view.offsetX = x;\\n this.view.offsetY = y;\\n this.view.width = width;\\n this.view.height = height;\\n this.updateProjectionMatrix();\\n }\\n clearViewOffset() {\\n if (this.view !== null) {\\n this.view.enabled = false;\\n }\\n this.updateProjectionMatrix();\\n }\\n updateProjectionMatrix() {\\n const near = this.near;\\n let top = near * Math.tan(DEG2RAD * 0.5 * this.fov) / this.zoom;\\n let height = 2 * top;\\n let width = this.aspect * height;\\n let left = -0.5 * width;\\n const view = this.view;\\n if (this.view !== null && this.view.enabled) {\\n const fullWidth = view.fullWidth, fullHeight = view.fullHeight;\\n left += view.offsetX * width / fullWidth;\\n top -= view.offsetY * height / fullHeight;\\n width *= view.width / fullWidth;\\n height *= view.height / fullHeight;\\n }\\n const skew = this.filmOffset;\\n if (skew !== 0)\\n left += near * skew / this.getFilmWidth();\\n this.projectionMatrix.makePerspective(left, left + width, top, top - height, near, this.far);\\n this.projectionMatrixInverse.copy(this.projectionMatrix).invert();\\n }\\n toJSON(meta) {\\n const data = super.toJSON(meta);\\n data.object.fov = this.fov;\\n data.object.zoom = this.zoom;\\n data.object.near = this.near;\\n data.object.far = this.far;\\n data.object.focus = this.focus;\\n data.object.aspect = this.aspect;\\n if (this.view !== null)\\n data.object.view = Object.assign({}, this.view);\\n data.object.filmGauge = this.filmGauge;\\n data.object.filmOffset = this.filmOffset;\\n return data;\\n }\\n};\\nPerspectiveCamera.prototype.isPerspectiveCamera = true;\\n\\n// ../../../node_modules/three/src/cameras/CubeCamera.js\\nvar fov = 90;\\nvar aspect = 1;\\nvar CubeCamera = class extends Object3D {\\n constructor(near, far, renderTarget) {\\n super();\\n this.type = \\\\\\\"CubeCamera\\\\\\\";\\n if (renderTarget.isWebGLCubeRenderTarget !== true) {\\n console.error(\\\\\\\"THREE.CubeCamera: The constructor now expects an instance of WebGLCubeRenderTarget as third parameter.\\\\\\\");\\n return;\\n }\\n this.renderTarget = renderTarget;\\n const cameraPX = new PerspectiveCamera(fov, aspect, near, far);\\n cameraPX.layers = this.layers;\\n cameraPX.up.set(0, -1, 0);\\n cameraPX.lookAt(new Vector3(1, 0, 0));\\n this.add(cameraPX);\\n const cameraNX = new PerspectiveCamera(fov, aspect, near, far);\\n cameraNX.layers = this.layers;\\n cameraNX.up.set(0, -1, 0);\\n cameraNX.lookAt(new Vector3(-1, 0, 0));\\n this.add(cameraNX);\\n const cameraPY = new PerspectiveCamera(fov, aspect, near, far);\\n cameraPY.layers = this.layers;\\n cameraPY.up.set(0, 0, 1);\\n cameraPY.lookAt(new Vector3(0, 1, 0));\\n this.add(cameraPY);\\n const cameraNY = new PerspectiveCamera(fov, aspect, near, far);\\n cameraNY.layers = this.layers;\\n cameraNY.up.set(0, 0, -1);\\n cameraNY.lookAt(new Vector3(0, -1, 0));\\n this.add(cameraNY);\\n const cameraPZ = new PerspectiveCamera(fov, aspect, near, far);\\n cameraPZ.layers = this.layers;\\n cameraPZ.up.set(0, -1, 0);\\n cameraPZ.lookAt(new Vector3(0, 0, 1));\\n this.add(cameraPZ);\\n const cameraNZ = new PerspectiveCamera(fov, aspect, near, far);\\n cameraNZ.layers = this.layers;\\n cameraNZ.up.set(0, -1, 0);\\n cameraNZ.lookAt(new Vector3(0, 0, -1));\\n this.add(cameraNZ);\\n }\\n update(renderer, scene) {\\n if (this.parent === null)\\n this.updateMatrixWorld();\\n const renderTarget = this.renderTarget;\\n const [cameraPX, cameraNX, cameraPY, cameraNY, cameraPZ, cameraNZ] = this.children;\\n const currentXrEnabled = renderer.xr.enabled;\\n const currentRenderTarget = renderer.getRenderTarget();\\n renderer.xr.enabled = false;\\n const generateMipmaps = renderTarget.texture.generateMipmaps;\\n renderTarget.texture.generateMipmaps = false;\\n renderer.setRenderTarget(renderTarget, 0);\\n renderer.render(scene, cameraPX);\\n renderer.setRenderTarget(renderTarget, 1);\\n renderer.render(scene, cameraNX);\\n renderer.setRenderTarget(renderTarget, 2);\\n renderer.render(scene, cameraPY);\\n renderer.setRenderTarget(renderTarget, 3);\\n renderer.render(scene, cameraNY);\\n renderer.setRenderTarget(renderTarget, 4);\\n renderer.render(scene, cameraPZ);\\n renderTarget.texture.generateMipmaps = generateMipmaps;\\n renderer.setRenderTarget(renderTarget, 5);\\n renderer.render(scene, cameraNZ);\\n renderer.setRenderTarget(currentRenderTarget);\\n renderer.xr.enabled = currentXrEnabled;\\n }\\n};\\n\\n// ../../../node_modules/three/src/textures/CubeTexture.js\\nvar CubeTexture = class extends Texture {\\n constructor(images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, encoding) {\\n images = images !== void 0 ? images : [];\\n mapping = mapping !== void 0 ? mapping : CubeReflectionMapping;\\n super(images, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, encoding);\\n this.flipY = false;\\n }\\n get images() {\\n return this.image;\\n }\\n set images(value) {\\n this.image = value;\\n }\\n};\\nCubeTexture.prototype.isCubeTexture = true;\\n\\n// ../../../node_modules/three/src/renderers/WebGLCubeRenderTarget.js\\nvar WebGLCubeRenderTarget = class extends WebGLRenderTarget {\\n constructor(size, options, dummy) {\\n if (Number.isInteger(options)) {\\n console.warn(\\\\\\\"THREE.WebGLCubeRenderTarget: constructor signature is now WebGLCubeRenderTarget( size, options )\\\\\\\");\\n options = dummy;\\n }\\n super(size, size, options);\\n options = options || {};\\n this.texture = new CubeTexture(void 0, options.mapping, options.wrapS, options.wrapT, options.magFilter, options.minFilter, options.format, options.type, options.anisotropy, options.encoding);\\n this.texture.isRenderTargetTexture = true;\\n this.texture.generateMipmaps = options.generateMipmaps !== void 0 ? options.generateMipmaps : false;\\n this.texture.minFilter = options.minFilter !== void 0 ? options.minFilter : LinearFilter;\\n this.texture._needsFlipEnvMap = false;\\n }\\n fromEquirectangularTexture(renderer, texture) {\\n this.texture.type = texture.type;\\n this.texture.format = RGBAFormat;\\n this.texture.encoding = texture.encoding;\\n this.texture.generateMipmaps = texture.generateMipmaps;\\n this.texture.minFilter = texture.minFilter;\\n this.texture.magFilter = texture.magFilter;\\n const shader = {\\n uniforms: {\\n tEquirect: {value: null}\\n },\\n vertexShader: `\\n\\n\\t\\t\\t\\tvarying vec3 vWorldDirection;\\n\\n\\t\\t\\t\\tvec3 transformDirection( in vec3 dir, in mat4 matrix ) {\\n\\n\\t\\t\\t\\t\\treturn normalize( ( matrix * vec4( dir, 0.0 ) ).xyz );\\n\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tvoid main() {\\n\\n\\t\\t\\t\\t\\tvWorldDirection = transformDirection( position, modelMatrix );\\n\\n\\t\\t\\t\\t\\t#include \\n\\t\\t\\t\\t\\t#include \\n\\n\\t\\t\\t\\t}\\n\\t\\t\\t`,\\n fragmentShader: `\\n\\n\\t\\t\\t\\tuniform sampler2D tEquirect;\\n\\n\\t\\t\\t\\tvarying vec3 vWorldDirection;\\n\\n\\t\\t\\t\\t#include \\n\\n\\t\\t\\t\\tvoid main() {\\n\\n\\t\\t\\t\\t\\tvec3 direction = normalize( vWorldDirection );\\n\\n\\t\\t\\t\\t\\tvec2 sampleUV = equirectUv( direction );\\n\\n\\t\\t\\t\\t\\tgl_FragColor = texture2D( tEquirect, sampleUV );\\n\\n\\t\\t\\t\\t}\\n\\t\\t\\t`\\n };\\n const geometry = new BoxGeometry(5, 5, 5);\\n const material = new ShaderMaterial({\\n name: \\\\\\\"CubemapFromEquirect\\\\\\\",\\n uniforms: cloneUniforms(shader.uniforms),\\n vertexShader: shader.vertexShader,\\n fragmentShader: shader.fragmentShader,\\n side: BackSide,\\n blending: NoBlending\\n });\\n material.uniforms.tEquirect.value = texture;\\n const mesh = new Mesh(geometry, material);\\n const currentMinFilter = texture.minFilter;\\n if (texture.minFilter === LinearMipmapLinearFilter)\\n texture.minFilter = LinearFilter;\\n const camera = new CubeCamera(1, 10, this);\\n camera.update(renderer, mesh);\\n texture.minFilter = currentMinFilter;\\n mesh.geometry.dispose();\\n mesh.material.dispose();\\n return this;\\n }\\n clear(renderer, color, depth2, stencil) {\\n const currentRenderTarget = renderer.getRenderTarget();\\n for (let i = 0; i < 6; i++) {\\n renderer.setRenderTarget(this, i);\\n renderer.clear(color, depth2, stencil);\\n }\\n renderer.setRenderTarget(currentRenderTarget);\\n }\\n};\\nWebGLCubeRenderTarget.prototype.isWebGLCubeRenderTarget = true;\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLCubeMaps.js\\nfunction WebGLCubeMaps(renderer) {\\n let cubemaps = new WeakMap();\\n function mapTextureMapping(texture, mapping) {\\n if (mapping === EquirectangularReflectionMapping) {\\n texture.mapping = CubeReflectionMapping;\\n } else if (mapping === EquirectangularRefractionMapping) {\\n texture.mapping = CubeRefractionMapping;\\n }\\n return texture;\\n }\\n function get(texture) {\\n if (texture && texture.isTexture && texture.isRenderTargetTexture === false) {\\n const mapping = texture.mapping;\\n if (mapping === EquirectangularReflectionMapping || mapping === EquirectangularRefractionMapping) {\\n if (cubemaps.has(texture)) {\\n const cubemap = cubemaps.get(texture).texture;\\n return mapTextureMapping(cubemap, texture.mapping);\\n } else {\\n const image = texture.image;\\n if (image && image.height > 0) {\\n const currentRenderTarget = renderer.getRenderTarget();\\n const renderTarget = new WebGLCubeRenderTarget(image.height / 2);\\n renderTarget.fromEquirectangularTexture(renderer, texture);\\n cubemaps.set(texture, renderTarget);\\n renderer.setRenderTarget(currentRenderTarget);\\n texture.addEventListener(\\\\\\\"dispose\\\\\\\", onTextureDispose);\\n return mapTextureMapping(renderTarget.texture, texture.mapping);\\n } else {\\n return null;\\n }\\n }\\n }\\n }\\n return texture;\\n }\\n function onTextureDispose(event) {\\n const texture = event.target;\\n texture.removeEventListener(\\\\\\\"dispose\\\\\\\", onTextureDispose);\\n const cubemap = cubemaps.get(texture);\\n if (cubemap !== void 0) {\\n cubemaps.delete(texture);\\n cubemap.dispose();\\n }\\n }\\n function dispose() {\\n cubemaps = new WeakMap();\\n }\\n return {\\n get,\\n dispose\\n };\\n}\\n\\n// ../../../node_modules/three/src/cameras/OrthographicCamera.js\\nvar OrthographicCamera = class extends Camera {\\n constructor(left = -1, right = 1, top = 1, bottom = -1, near = 0.1, far = 2e3) {\\n super();\\n this.type = \\\\\\\"OrthographicCamera\\\\\\\";\\n this.zoom = 1;\\n this.view = null;\\n this.left = left;\\n this.right = right;\\n this.top = top;\\n this.bottom = bottom;\\n this.near = near;\\n this.far = far;\\n this.updateProjectionMatrix();\\n }\\n copy(source, recursive) {\\n super.copy(source, recursive);\\n this.left = source.left;\\n this.right = source.right;\\n this.top = source.top;\\n this.bottom = source.bottom;\\n this.near = source.near;\\n this.far = source.far;\\n this.zoom = source.zoom;\\n this.view = source.view === null ? null : Object.assign({}, source.view);\\n return this;\\n }\\n setViewOffset(fullWidth, fullHeight, x, y, width, height) {\\n if (this.view === null) {\\n this.view = {\\n enabled: true,\\n fullWidth: 1,\\n fullHeight: 1,\\n offsetX: 0,\\n offsetY: 0,\\n width: 1,\\n height: 1\\n };\\n }\\n this.view.enabled = true;\\n this.view.fullWidth = fullWidth;\\n this.view.fullHeight = fullHeight;\\n this.view.offsetX = x;\\n this.view.offsetY = y;\\n this.view.width = width;\\n this.view.height = height;\\n this.updateProjectionMatrix();\\n }\\n clearViewOffset() {\\n if (this.view !== null) {\\n this.view.enabled = false;\\n }\\n this.updateProjectionMatrix();\\n }\\n updateProjectionMatrix() {\\n const dx = (this.right - this.left) / (2 * this.zoom);\\n const dy = (this.top - this.bottom) / (2 * this.zoom);\\n const cx = (this.right + this.left) / 2;\\n const cy = (this.top + this.bottom) / 2;\\n let left = cx - dx;\\n let right = cx + dx;\\n let top = cy + dy;\\n let bottom = cy - dy;\\n if (this.view !== null && this.view.enabled) {\\n const scaleW = (this.right - this.left) / this.view.fullWidth / this.zoom;\\n const scaleH = (this.top - this.bottom) / this.view.fullHeight / this.zoom;\\n left += scaleW * this.view.offsetX;\\n right = left + scaleW * this.view.width;\\n top -= scaleH * this.view.offsetY;\\n bottom = top - scaleH * this.view.height;\\n }\\n this.projectionMatrix.makeOrthographic(left, right, top, bottom, this.near, this.far);\\n this.projectionMatrixInverse.copy(this.projectionMatrix).invert();\\n }\\n toJSON(meta) {\\n const data = super.toJSON(meta);\\n data.object.zoom = this.zoom;\\n data.object.left = this.left;\\n data.object.right = this.right;\\n data.object.top = this.top;\\n data.object.bottom = this.bottom;\\n data.object.near = this.near;\\n data.object.far = this.far;\\n if (this.view !== null)\\n data.object.view = Object.assign({}, this.view);\\n return data;\\n }\\n};\\nOrthographicCamera.prototype.isOrthographicCamera = true;\\n\\n// ../../../node_modules/three/src/materials/RawShaderMaterial.js\\nvar RawShaderMaterial = class extends ShaderMaterial {\\n constructor(parameters) {\\n super(parameters);\\n this.type = \\\\\\\"RawShaderMaterial\\\\\\\";\\n }\\n};\\nRawShaderMaterial.prototype.isRawShaderMaterial = true;\\n\\n// ../../../node_modules/three/src/extras/PMREMGenerator.js\\nvar LOD_MIN = 4;\\nvar LOD_MAX = 8;\\nvar SIZE_MAX = Math.pow(2, LOD_MAX);\\nvar EXTRA_LOD_SIGMA = [0.125, 0.215, 0.35, 0.446, 0.526, 0.582];\\nvar TOTAL_LODS = LOD_MAX - LOD_MIN + 1 + EXTRA_LOD_SIGMA.length;\\nvar MAX_SAMPLES = 20;\\nvar ENCODINGS = {\\n [LinearEncoding]: 0,\\n [sRGBEncoding]: 1,\\n [RGBEEncoding]: 2,\\n [RGBM7Encoding]: 3,\\n [RGBM16Encoding]: 4,\\n [RGBDEncoding]: 5,\\n [GammaEncoding]: 6\\n};\\nvar _flatCamera = /* @__PURE__ */ new OrthographicCamera();\\nvar {_lodPlanes, _sizeLods, _sigmas} = /* @__PURE__ */ _createPlanes();\\nvar _clearColor = /* @__PURE__ */ new Color();\\nvar _oldTarget = null;\\nvar PHI = (1 + Math.sqrt(5)) / 2;\\nvar INV_PHI = 1 / PHI;\\nvar _axisDirections = [\\n /* @__PURE__ */ new Vector3(1, 1, 1),\\n /* @__PURE__ */ new Vector3(-1, 1, 1),\\n /* @__PURE__ */ new Vector3(1, 1, -1),\\n /* @__PURE__ */ new Vector3(-1, 1, -1),\\n /* @__PURE__ */ new Vector3(0, PHI, INV_PHI),\\n /* @__PURE__ */ new Vector3(0, PHI, -INV_PHI),\\n /* @__PURE__ */ new Vector3(INV_PHI, 0, PHI),\\n /* @__PURE__ */ new Vector3(-INV_PHI, 0, PHI),\\n /* @__PURE__ */ new Vector3(PHI, INV_PHI, 0),\\n /* @__PURE__ */ new Vector3(-PHI, INV_PHI, 0)\\n];\\nvar PMREMGenerator = class {\\n constructor(renderer) {\\n this._renderer = renderer;\\n this._pingPongRenderTarget = null;\\n this._blurMaterial = _getBlurShader(MAX_SAMPLES);\\n this._equirectShader = null;\\n this._cubemapShader = null;\\n this._compileMaterial(this._blurMaterial);\\n }\\n fromScene(scene, sigma = 0, near = 0.1, far = 100) {\\n _oldTarget = this._renderer.getRenderTarget();\\n const cubeUVRenderTarget = this._allocateTargets();\\n this._sceneToCubeUV(scene, near, far, cubeUVRenderTarget);\\n if (sigma > 0) {\\n this._blur(cubeUVRenderTarget, 0, 0, sigma);\\n }\\n this._applyPMREM(cubeUVRenderTarget);\\n this._cleanup(cubeUVRenderTarget);\\n return cubeUVRenderTarget;\\n }\\n fromEquirectangular(equirectangular) {\\n return this._fromTexture(equirectangular);\\n }\\n fromCubemap(cubemap) {\\n return this._fromTexture(cubemap);\\n }\\n compileCubemapShader() {\\n if (this._cubemapShader === null) {\\n this._cubemapShader = _getCubemapShader();\\n this._compileMaterial(this._cubemapShader);\\n }\\n }\\n compileEquirectangularShader() {\\n if (this._equirectShader === null) {\\n this._equirectShader = _getEquirectShader();\\n this._compileMaterial(this._equirectShader);\\n }\\n }\\n dispose() {\\n this._blurMaterial.dispose();\\n if (this._cubemapShader !== null)\\n this._cubemapShader.dispose();\\n if (this._equirectShader !== null)\\n this._equirectShader.dispose();\\n for (let i = 0; i < _lodPlanes.length; i++) {\\n _lodPlanes[i].dispose();\\n }\\n }\\n _cleanup(outputTarget) {\\n this._pingPongRenderTarget.dispose();\\n this._renderer.setRenderTarget(_oldTarget);\\n outputTarget.scissorTest = false;\\n _setViewport(outputTarget, 0, 0, outputTarget.width, outputTarget.height);\\n }\\n _fromTexture(texture) {\\n _oldTarget = this._renderer.getRenderTarget();\\n const cubeUVRenderTarget = this._allocateTargets(texture);\\n this._textureToCubeUV(texture, cubeUVRenderTarget);\\n this._applyPMREM(cubeUVRenderTarget);\\n this._cleanup(cubeUVRenderTarget);\\n return cubeUVRenderTarget;\\n }\\n _allocateTargets(texture) {\\n const params = {\\n magFilter: NearestFilter,\\n minFilter: NearestFilter,\\n generateMipmaps: false,\\n type: UnsignedByteType,\\n format: RGBEFormat,\\n encoding: _isLDR(texture) ? texture.encoding : RGBEEncoding,\\n depthBuffer: false\\n };\\n const cubeUVRenderTarget = _createRenderTarget(params);\\n cubeUVRenderTarget.depthBuffer = texture ? false : true;\\n this._pingPongRenderTarget = _createRenderTarget(params);\\n return cubeUVRenderTarget;\\n }\\n _compileMaterial(material) {\\n const tmpMesh = new Mesh(_lodPlanes[0], material);\\n this._renderer.compile(tmpMesh, _flatCamera);\\n }\\n _sceneToCubeUV(scene, near, far, cubeUVRenderTarget) {\\n const fov2 = 90;\\n const aspect2 = 1;\\n const cubeCamera = new PerspectiveCamera(fov2, aspect2, near, far);\\n const upSign = [1, -1, 1, 1, 1, 1];\\n const forwardSign = [1, 1, 1, -1, -1, -1];\\n const renderer = this._renderer;\\n const originalAutoClear = renderer.autoClear;\\n const outputEncoding = renderer.outputEncoding;\\n const toneMapping = renderer.toneMapping;\\n renderer.getClearColor(_clearColor);\\n renderer.toneMapping = NoToneMapping;\\n renderer.outputEncoding = LinearEncoding;\\n renderer.autoClear = false;\\n const backgroundMaterial = new MeshBasicMaterial({\\n name: \\\\\\\"PMREM.Background\\\\\\\",\\n side: BackSide,\\n depthWrite: false,\\n depthTest: false\\n });\\n const backgroundBox = new Mesh(new BoxGeometry(), backgroundMaterial);\\n let useSolidColor = false;\\n const background2 = scene.background;\\n if (background2) {\\n if (background2.isColor) {\\n backgroundMaterial.color.copy(background2);\\n scene.background = null;\\n useSolidColor = true;\\n }\\n } else {\\n backgroundMaterial.color.copy(_clearColor);\\n useSolidColor = true;\\n }\\n for (let i = 0; i < 6; i++) {\\n const col = i % 3;\\n if (col == 0) {\\n cubeCamera.up.set(0, upSign[i], 0);\\n cubeCamera.lookAt(forwardSign[i], 0, 0);\\n } else if (col == 1) {\\n cubeCamera.up.set(0, 0, upSign[i]);\\n cubeCamera.lookAt(0, forwardSign[i], 0);\\n } else {\\n cubeCamera.up.set(0, upSign[i], 0);\\n cubeCamera.lookAt(0, 0, forwardSign[i]);\\n }\\n _setViewport(cubeUVRenderTarget, col * SIZE_MAX, i > 2 ? SIZE_MAX : 0, SIZE_MAX, SIZE_MAX);\\n renderer.setRenderTarget(cubeUVRenderTarget);\\n if (useSolidColor) {\\n renderer.render(backgroundBox, cubeCamera);\\n }\\n renderer.render(scene, cubeCamera);\\n }\\n backgroundBox.geometry.dispose();\\n backgroundBox.material.dispose();\\n renderer.toneMapping = toneMapping;\\n renderer.outputEncoding = outputEncoding;\\n renderer.autoClear = originalAutoClear;\\n scene.background = background2;\\n }\\n _setEncoding(uniform, texture) {\\n if (this._renderer.capabilities.isWebGL2 === true && texture.format === RGBAFormat && texture.type === UnsignedByteType && texture.encoding === sRGBEncoding) {\\n uniform.value = ENCODINGS[LinearEncoding];\\n } else {\\n uniform.value = ENCODINGS[texture.encoding];\\n }\\n }\\n _textureToCubeUV(texture, cubeUVRenderTarget) {\\n const renderer = this._renderer;\\n if (texture.isCubeTexture) {\\n if (this._cubemapShader == null) {\\n this._cubemapShader = _getCubemapShader();\\n }\\n } else {\\n if (this._equirectShader == null) {\\n this._equirectShader = _getEquirectShader();\\n }\\n }\\n const material = texture.isCubeTexture ? this._cubemapShader : this._equirectShader;\\n const mesh = new Mesh(_lodPlanes[0], material);\\n const uniforms = material.uniforms;\\n uniforms[\\\\\\\"envMap\\\\\\\"].value = texture;\\n if (!texture.isCubeTexture) {\\n uniforms[\\\\\\\"texelSize\\\\\\\"].value.set(1 / texture.image.width, 1 / texture.image.height);\\n }\\n this._setEncoding(uniforms[\\\\\\\"inputEncoding\\\\\\\"], texture);\\n this._setEncoding(uniforms[\\\\\\\"outputEncoding\\\\\\\"], cubeUVRenderTarget.texture);\\n _setViewport(cubeUVRenderTarget, 0, 0, 3 * SIZE_MAX, 2 * SIZE_MAX);\\n renderer.setRenderTarget(cubeUVRenderTarget);\\n renderer.render(mesh, _flatCamera);\\n }\\n _applyPMREM(cubeUVRenderTarget) {\\n const renderer = this._renderer;\\n const autoClear = renderer.autoClear;\\n renderer.autoClear = false;\\n for (let i = 1; i < TOTAL_LODS; i++) {\\n const sigma = Math.sqrt(_sigmas[i] * _sigmas[i] - _sigmas[i - 1] * _sigmas[i - 1]);\\n const poleAxis = _axisDirections[(i - 1) % _axisDirections.length];\\n this._blur(cubeUVRenderTarget, i - 1, i, sigma, poleAxis);\\n }\\n renderer.autoClear = autoClear;\\n }\\n _blur(cubeUVRenderTarget, lodIn, lodOut, sigma, poleAxis) {\\n const pingPongRenderTarget = this._pingPongRenderTarget;\\n this._halfBlur(cubeUVRenderTarget, pingPongRenderTarget, lodIn, lodOut, sigma, \\\\\\\"latitudinal\\\\\\\", poleAxis);\\n this._halfBlur(pingPongRenderTarget, cubeUVRenderTarget, lodOut, lodOut, sigma, \\\\\\\"longitudinal\\\\\\\", poleAxis);\\n }\\n _halfBlur(targetIn, targetOut, lodIn, lodOut, sigmaRadians, direction, poleAxis) {\\n const renderer = this._renderer;\\n const blurMaterial = this._blurMaterial;\\n if (direction !== \\\\\\\"latitudinal\\\\\\\" && direction !== \\\\\\\"longitudinal\\\\\\\") {\\n console.error(\\\\\\\"blur direction must be either latitudinal or longitudinal!\\\\\\\");\\n }\\n const STANDARD_DEVIATIONS = 3;\\n const blurMesh = new Mesh(_lodPlanes[lodOut], blurMaterial);\\n const blurUniforms = blurMaterial.uniforms;\\n const pixels = _sizeLods[lodIn] - 1;\\n const radiansPerPixel = isFinite(sigmaRadians) ? Math.PI / (2 * pixels) : 2 * Math.PI / (2 * MAX_SAMPLES - 1);\\n const sigmaPixels = sigmaRadians / radiansPerPixel;\\n const samples = isFinite(sigmaRadians) ? 1 + Math.floor(STANDARD_DEVIATIONS * sigmaPixels) : MAX_SAMPLES;\\n if (samples > MAX_SAMPLES) {\\n console.warn(`sigmaRadians, ${sigmaRadians}, is too large and will clip, as it requested ${samples} samples when the maximum is set to ${MAX_SAMPLES}`);\\n }\\n const weights = [];\\n let sum = 0;\\n for (let i = 0; i < MAX_SAMPLES; ++i) {\\n const x2 = i / sigmaPixels;\\n const weight = Math.exp(-x2 * x2 / 2);\\n weights.push(weight);\\n if (i == 0) {\\n sum += weight;\\n } else if (i < samples) {\\n sum += 2 * weight;\\n }\\n }\\n for (let i = 0; i < weights.length; i++) {\\n weights[i] = weights[i] / sum;\\n }\\n blurUniforms[\\\\\\\"envMap\\\\\\\"].value = targetIn.texture;\\n blurUniforms[\\\\\\\"samples\\\\\\\"].value = samples;\\n blurUniforms[\\\\\\\"weights\\\\\\\"].value = weights;\\n blurUniforms[\\\\\\\"latitudinal\\\\\\\"].value = direction === \\\\\\\"latitudinal\\\\\\\";\\n if (poleAxis) {\\n blurUniforms[\\\\\\\"poleAxis\\\\\\\"].value = poleAxis;\\n }\\n blurUniforms[\\\\\\\"dTheta\\\\\\\"].value = radiansPerPixel;\\n blurUniforms[\\\\\\\"mipInt\\\\\\\"].value = LOD_MAX - lodIn;\\n this._setEncoding(blurUniforms[\\\\\\\"inputEncoding\\\\\\\"], targetIn.texture);\\n this._setEncoding(blurUniforms[\\\\\\\"outputEncoding\\\\\\\"], targetIn.texture);\\n const outputSize = _sizeLods[lodOut];\\n const x = 3 * Math.max(0, SIZE_MAX - 2 * outputSize);\\n const y = (lodOut === 0 ? 0 : 2 * SIZE_MAX) + 2 * outputSize * (lodOut > LOD_MAX - LOD_MIN ? lodOut - LOD_MAX + LOD_MIN : 0);\\n _setViewport(targetOut, x, y, 3 * outputSize, 2 * outputSize);\\n renderer.setRenderTarget(targetOut);\\n renderer.render(blurMesh, _flatCamera);\\n }\\n};\\nfunction _isLDR(texture) {\\n if (texture === void 0 || texture.type !== UnsignedByteType)\\n return false;\\n return texture.encoding === LinearEncoding || texture.encoding === sRGBEncoding || texture.encoding === GammaEncoding;\\n}\\nfunction _createPlanes() {\\n const _lodPlanes2 = [];\\n const _sizeLods2 = [];\\n const _sigmas2 = [];\\n let lod = LOD_MAX;\\n for (let i = 0; i < TOTAL_LODS; i++) {\\n const sizeLod = Math.pow(2, lod);\\n _sizeLods2.push(sizeLod);\\n let sigma = 1 / sizeLod;\\n if (i > LOD_MAX - LOD_MIN) {\\n sigma = EXTRA_LOD_SIGMA[i - LOD_MAX + LOD_MIN - 1];\\n } else if (i == 0) {\\n sigma = 0;\\n }\\n _sigmas2.push(sigma);\\n const texelSize = 1 / (sizeLod - 1);\\n const min = -texelSize / 2;\\n const max = 1 + texelSize / 2;\\n const uv1 = [min, min, max, min, max, max, min, min, max, max, min, max];\\n const cubeFaces = 6;\\n const vertices = 6;\\n const positionSize = 3;\\n const uvSize = 2;\\n const faceIndexSize = 1;\\n const position = new Float32Array(positionSize * vertices * cubeFaces);\\n const uv = new Float32Array(uvSize * vertices * cubeFaces);\\n const faceIndex = new Float32Array(faceIndexSize * vertices * cubeFaces);\\n for (let face = 0; face < cubeFaces; face++) {\\n const x = face % 3 * 2 / 3 - 1;\\n const y = face > 2 ? 0 : -1;\\n const coordinates = [\\n x,\\n y,\\n 0,\\n x + 2 / 3,\\n y,\\n 0,\\n x + 2 / 3,\\n y + 1,\\n 0,\\n x,\\n y,\\n 0,\\n x + 2 / 3,\\n y + 1,\\n 0,\\n x,\\n y + 1,\\n 0\\n ];\\n position.set(coordinates, positionSize * vertices * face);\\n uv.set(uv1, uvSize * vertices * face);\\n const fill = [face, face, face, face, face, face];\\n faceIndex.set(fill, faceIndexSize * vertices * face);\\n }\\n const planes = new BufferGeometry();\\n planes.setAttribute(\\\\\\\"position\\\\\\\", new BufferAttribute(position, positionSize));\\n planes.setAttribute(\\\\\\\"uv\\\\\\\", new BufferAttribute(uv, uvSize));\\n planes.setAttribute(\\\\\\\"faceIndex\\\\\\\", new BufferAttribute(faceIndex, faceIndexSize));\\n _lodPlanes2.push(planes);\\n if (lod > LOD_MIN) {\\n lod--;\\n }\\n }\\n return {_lodPlanes: _lodPlanes2, _sizeLods: _sizeLods2, _sigmas: _sigmas2};\\n}\\nfunction _createRenderTarget(params) {\\n const cubeUVRenderTarget = new WebGLRenderTarget(3 * SIZE_MAX, 3 * SIZE_MAX, params);\\n cubeUVRenderTarget.texture.mapping = CubeUVReflectionMapping;\\n cubeUVRenderTarget.texture.name = \\\\\\\"PMREM.cubeUv\\\\\\\";\\n cubeUVRenderTarget.scissorTest = true;\\n return cubeUVRenderTarget;\\n}\\nfunction _setViewport(target, x, y, width, height) {\\n target.viewport.set(x, y, width, height);\\n target.scissor.set(x, y, width, height);\\n}\\nfunction _getBlurShader(maxSamples) {\\n const weights = new Float32Array(maxSamples);\\n const poleAxis = new Vector3(0, 1, 0);\\n const shaderMaterial = new RawShaderMaterial({\\n name: \\\\\\\"SphericalGaussianBlur\\\\\\\",\\n defines: {n: maxSamples},\\n uniforms: {\\n envMap: {value: null},\\n samples: {value: 1},\\n weights: {value: weights},\\n latitudinal: {value: false},\\n dTheta: {value: 0},\\n mipInt: {value: 0},\\n poleAxis: {value: poleAxis},\\n inputEncoding: {value: ENCODINGS[LinearEncoding]},\\n outputEncoding: {value: ENCODINGS[LinearEncoding]}\\n },\\n vertexShader: _getCommonVertexShader(),\\n fragmentShader: `\\n\\n\\t\\t\\tprecision mediump float;\\n\\t\\t\\tprecision mediump int;\\n\\n\\t\\t\\tvarying vec3 vOutputDirection;\\n\\n\\t\\t\\tuniform sampler2D envMap;\\n\\t\\t\\tuniform int samples;\\n\\t\\t\\tuniform float weights[ n ];\\n\\t\\t\\tuniform bool latitudinal;\\n\\t\\t\\tuniform float dTheta;\\n\\t\\t\\tuniform float mipInt;\\n\\t\\t\\tuniform vec3 poleAxis;\\n\\n\\t\\t\\t${_getEncodings()}\\n\\n\\t\\t\\t#define ENVMAP_TYPE_CUBE_UV\\n\\t\\t\\t#include \\n\\n\\t\\t\\tvec3 getSample( float theta, vec3 axis ) {\\n\\n\\t\\t\\t\\tfloat cosTheta = cos( theta );\\n\\t\\t\\t\\t// Rodrigues' axis-angle rotation\\n\\t\\t\\t\\tvec3 sampleDirection = vOutputDirection * cosTheta\\n\\t\\t\\t\\t\\t+ cross( axis, vOutputDirection ) * sin( theta )\\n\\t\\t\\t\\t\\t+ axis * dot( axis, vOutputDirection ) * ( 1.0 - cosTheta );\\n\\n\\t\\t\\t\\treturn bilinearCubeUV( envMap, sampleDirection, mipInt );\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main() {\\n\\n\\t\\t\\t\\tvec3 axis = latitudinal ? poleAxis : cross( poleAxis, vOutputDirection );\\n\\n\\t\\t\\t\\tif ( all( equal( axis, vec3( 0.0 ) ) ) ) {\\n\\n\\t\\t\\t\\t\\taxis = vec3( vOutputDirection.z, 0.0, - vOutputDirection.x );\\n\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\taxis = normalize( axis );\\n\\n\\t\\t\\t\\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\t\\t\\t\\tgl_FragColor.rgb += weights[ 0 ] * getSample( 0.0, axis );\\n\\n\\t\\t\\t\\tfor ( int i = 1; i < n; i++ ) {\\n\\n\\t\\t\\t\\t\\tif ( i >= samples ) {\\n\\n\\t\\t\\t\\t\\t\\tbreak;\\n\\n\\t\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\t\\tfloat theta = dTheta * float( i );\\n\\t\\t\\t\\t\\tgl_FragColor.rgb += weights[ i ] * getSample( -1.0 * theta, axis );\\n\\t\\t\\t\\t\\tgl_FragColor.rgb += weights[ i ] * getSample( theta, axis );\\n\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\tgl_FragColor = linearToOutputTexel( gl_FragColor );\\n\\n\\t\\t\\t}\\n\\t\\t`,\\n blending: NoBlending,\\n depthTest: false,\\n depthWrite: false\\n });\\n return shaderMaterial;\\n}\\nfunction _getEquirectShader() {\\n const texelSize = new Vector2(1, 1);\\n const shaderMaterial = new RawShaderMaterial({\\n name: \\\\\\\"EquirectangularToCubeUV\\\\\\\",\\n uniforms: {\\n envMap: {value: null},\\n texelSize: {value: texelSize},\\n inputEncoding: {value: ENCODINGS[LinearEncoding]},\\n outputEncoding: {value: ENCODINGS[LinearEncoding]}\\n },\\n vertexShader: _getCommonVertexShader(),\\n fragmentShader: `\\n\\n\\t\\t\\tprecision mediump float;\\n\\t\\t\\tprecision mediump int;\\n\\n\\t\\t\\tvarying vec3 vOutputDirection;\\n\\n\\t\\t\\tuniform sampler2D envMap;\\n\\t\\t\\tuniform vec2 texelSize;\\n\\n\\t\\t\\t${_getEncodings()}\\n\\n\\t\\t\\t#include \\n\\n\\t\\t\\tvoid main() {\\n\\n\\t\\t\\t\\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\n\\t\\t\\t\\tvec3 outputDirection = normalize( vOutputDirection );\\n\\t\\t\\t\\tvec2 uv = equirectUv( outputDirection );\\n\\n\\t\\t\\t\\tvec2 f = fract( uv / texelSize - 0.5 );\\n\\t\\t\\t\\tuv -= f * texelSize;\\n\\t\\t\\t\\tvec3 tl = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\n\\t\\t\\t\\tuv.x += texelSize.x;\\n\\t\\t\\t\\tvec3 tr = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\n\\t\\t\\t\\tuv.y += texelSize.y;\\n\\t\\t\\t\\tvec3 br = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\n\\t\\t\\t\\tuv.x -= texelSize.x;\\n\\t\\t\\t\\tvec3 bl = envMapTexelToLinear( texture2D ( envMap, uv ) ).rgb;\\n\\n\\t\\t\\t\\tvec3 tm = mix( tl, tr, f.x );\\n\\t\\t\\t\\tvec3 bm = mix( bl, br, f.x );\\n\\t\\t\\t\\tgl_FragColor.rgb = mix( tm, bm, f.y );\\n\\n\\t\\t\\t\\tgl_FragColor = linearToOutputTexel( gl_FragColor );\\n\\n\\t\\t\\t}\\n\\t\\t`,\\n blending: NoBlending,\\n depthTest: false,\\n depthWrite: false\\n });\\n return shaderMaterial;\\n}\\nfunction _getCubemapShader() {\\n const shaderMaterial = new RawShaderMaterial({\\n name: \\\\\\\"CubemapToCubeUV\\\\\\\",\\n uniforms: {\\n envMap: {value: null},\\n inputEncoding: {value: ENCODINGS[LinearEncoding]},\\n outputEncoding: {value: ENCODINGS[LinearEncoding]}\\n },\\n vertexShader: _getCommonVertexShader(),\\n fragmentShader: `\\n\\n\\t\\t\\tprecision mediump float;\\n\\t\\t\\tprecision mediump int;\\n\\n\\t\\t\\tvarying vec3 vOutputDirection;\\n\\n\\t\\t\\tuniform samplerCube envMap;\\n\\n\\t\\t\\t${_getEncodings()}\\n\\n\\t\\t\\tvoid main() {\\n\\n\\t\\t\\t\\tgl_FragColor = vec4( 0.0, 0.0, 0.0, 1.0 );\\n\\t\\t\\t\\tgl_FragColor.rgb = envMapTexelToLinear( textureCube( envMap, vec3( - vOutputDirection.x, vOutputDirection.yz ) ) ).rgb;\\n\\t\\t\\t\\tgl_FragColor = linearToOutputTexel( gl_FragColor );\\n\\n\\t\\t\\t}\\n\\t\\t`,\\n blending: NoBlending,\\n depthTest: false,\\n depthWrite: false\\n });\\n return shaderMaterial;\\n}\\nfunction _getCommonVertexShader() {\\n return `\\n\\n\\t\\tprecision mediump float;\\n\\t\\tprecision mediump int;\\n\\n\\t\\tattribute vec3 position;\\n\\t\\tattribute vec2 uv;\\n\\t\\tattribute float faceIndex;\\n\\n\\t\\tvarying vec3 vOutputDirection;\\n\\n\\t\\t// RH coordinate system; PMREM face-indexing convention\\n\\t\\tvec3 getDirection( vec2 uv, float face ) {\\n\\n\\t\\t\\tuv = 2.0 * uv - 1.0;\\n\\n\\t\\t\\tvec3 direction = vec3( uv, 1.0 );\\n\\n\\t\\t\\tif ( face == 0.0 ) {\\n\\n\\t\\t\\t\\tdirection = direction.zyx; // ( 1, v, u ) pos x\\n\\n\\t\\t\\t} else if ( face == 1.0 ) {\\n\\n\\t\\t\\t\\tdirection = direction.xzy;\\n\\t\\t\\t\\tdirection.xz *= -1.0; // ( -u, 1, -v ) pos y\\n\\n\\t\\t\\t} else if ( face == 2.0 ) {\\n\\n\\t\\t\\t\\tdirection.x *= -1.0; // ( -u, v, 1 ) pos z\\n\\n\\t\\t\\t} else if ( face == 3.0 ) {\\n\\n\\t\\t\\t\\tdirection = direction.zyx;\\n\\t\\t\\t\\tdirection.xz *= -1.0; // ( -1, v, -u ) neg x\\n\\n\\t\\t\\t} else if ( face == 4.0 ) {\\n\\n\\t\\t\\t\\tdirection = direction.xzy;\\n\\t\\t\\t\\tdirection.xy *= -1.0; // ( -u, -1, v ) neg y\\n\\n\\t\\t\\t} else if ( face == 5.0 ) {\\n\\n\\t\\t\\t\\tdirection.z *= -1.0; // ( u, v, -1 ) neg z\\n\\n\\t\\t\\t}\\n\\n\\t\\t\\treturn direction;\\n\\n\\t\\t}\\n\\n\\t\\tvoid main() {\\n\\n\\t\\t\\tvOutputDirection = getDirection( uv, faceIndex );\\n\\t\\t\\tgl_Position = vec4( position, 1.0 );\\n\\n\\t\\t}\\n\\t`;\\n}\\nfunction _getEncodings() {\\n return `\\n\\n\\t\\tuniform int inputEncoding;\\n\\t\\tuniform int outputEncoding;\\n\\n\\t\\t#include \\n\\n\\t\\tvec4 inputTexelToLinear( vec4 value ) {\\n\\n\\t\\t\\tif ( inputEncoding == 0 ) {\\n\\n\\t\\t\\t\\treturn value;\\n\\n\\t\\t\\t} else if ( inputEncoding == 1 ) {\\n\\n\\t\\t\\t\\treturn sRGBToLinear( value );\\n\\n\\t\\t\\t} else if ( inputEncoding == 2 ) {\\n\\n\\t\\t\\t\\treturn RGBEToLinear( value );\\n\\n\\t\\t\\t} else if ( inputEncoding == 3 ) {\\n\\n\\t\\t\\t\\treturn RGBMToLinear( value, 7.0 );\\n\\n\\t\\t\\t} else if ( inputEncoding == 4 ) {\\n\\n\\t\\t\\t\\treturn RGBMToLinear( value, 16.0 );\\n\\n\\t\\t\\t} else if ( inputEncoding == 5 ) {\\n\\n\\t\\t\\t\\treturn RGBDToLinear( value, 256.0 );\\n\\n\\t\\t\\t} else {\\n\\n\\t\\t\\t\\treturn GammaToLinear( value, 2.2 );\\n\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\n\\t\\tvec4 linearToOutputTexel( vec4 value ) {\\n\\n\\t\\t\\tif ( outputEncoding == 0 ) {\\n\\n\\t\\t\\t\\treturn value;\\n\\n\\t\\t\\t} else if ( outputEncoding == 1 ) {\\n\\n\\t\\t\\t\\treturn LinearTosRGB( value );\\n\\n\\t\\t\\t} else if ( outputEncoding == 2 ) {\\n\\n\\t\\t\\t\\treturn LinearToRGBE( value );\\n\\n\\t\\t\\t} else if ( outputEncoding == 3 ) {\\n\\n\\t\\t\\t\\treturn LinearToRGBM( value, 7.0 );\\n\\n\\t\\t\\t} else if ( outputEncoding == 4 ) {\\n\\n\\t\\t\\t\\treturn LinearToRGBM( value, 16.0 );\\n\\n\\t\\t\\t} else if ( outputEncoding == 5 ) {\\n\\n\\t\\t\\t\\treturn LinearToRGBD( value, 256.0 );\\n\\n\\t\\t\\t} else {\\n\\n\\t\\t\\t\\treturn LinearToGamma( value, 2.2 );\\n\\n\\t\\t\\t}\\n\\n\\t\\t}\\n\\n\\t\\tvec4 envMapTexelToLinear( vec4 color ) {\\n\\n\\t\\t\\treturn inputTexelToLinear( color );\\n\\n\\t\\t}\\n\\t`;\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLCubeUVMaps.js\\nfunction WebGLCubeUVMaps(renderer) {\\n let cubeUVmaps = new WeakMap();\\n let pmremGenerator = null;\\n function get(texture) {\\n if (texture && texture.isTexture && texture.isRenderTargetTexture === false) {\\n const mapping = texture.mapping;\\n const isEquirectMap = mapping === EquirectangularReflectionMapping || mapping === EquirectangularRefractionMapping;\\n const isCubeMap = mapping === CubeReflectionMapping || mapping === CubeRefractionMapping;\\n if (isEquirectMap || isCubeMap) {\\n if (cubeUVmaps.has(texture)) {\\n return cubeUVmaps.get(texture).texture;\\n } else {\\n const image = texture.image;\\n if (isEquirectMap && image && image.height > 0 || isCubeMap && image && isCubeTextureComplete(image)) {\\n const currentRenderTarget = renderer.getRenderTarget();\\n if (pmremGenerator === null)\\n pmremGenerator = new PMREMGenerator(renderer);\\n const renderTarget = isEquirectMap ? pmremGenerator.fromEquirectangular(texture) : pmremGenerator.fromCubemap(texture);\\n cubeUVmaps.set(texture, renderTarget);\\n renderer.setRenderTarget(currentRenderTarget);\\n texture.addEventListener(\\\\\\\"dispose\\\\\\\", onTextureDispose);\\n return renderTarget.texture;\\n } else {\\n return null;\\n }\\n }\\n }\\n }\\n return texture;\\n }\\n function isCubeTextureComplete(image) {\\n let count = 0;\\n const length = 6;\\n for (let i = 0; i < length; i++) {\\n if (image[i] !== void 0)\\n count++;\\n }\\n return count === length;\\n }\\n function onTextureDispose(event) {\\n const texture = event.target;\\n texture.removeEventListener(\\\\\\\"dispose\\\\\\\", onTextureDispose);\\n const cubemapUV = cubeUVmaps.get(texture);\\n if (cubemapUV !== void 0) {\\n cubeUVmaps.delete(texture);\\n cubemapUV.dispose();\\n }\\n }\\n function dispose() {\\n cubeUVmaps = new WeakMap();\\n if (pmremGenerator !== null) {\\n pmremGenerator.dispose();\\n pmremGenerator = null;\\n }\\n }\\n return {\\n get,\\n dispose\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLExtensions.js\\nfunction WebGLExtensions(gl) {\\n const extensions = {};\\n function getExtension(name) {\\n if (extensions[name] !== void 0) {\\n return extensions[name];\\n }\\n let extension;\\n switch (name) {\\n case \\\\\\\"WEBGL_depth_texture\\\\\\\":\\n extension = gl.getExtension(\\\\\\\"WEBGL_depth_texture\\\\\\\") || gl.getExtension(\\\\\\\"MOZ_WEBGL_depth_texture\\\\\\\") || gl.getExtension(\\\\\\\"WEBKIT_WEBGL_depth_texture\\\\\\\");\\n break;\\n case \\\\\\\"EXT_texture_filter_anisotropic\\\\\\\":\\n extension = gl.getExtension(\\\\\\\"EXT_texture_filter_anisotropic\\\\\\\") || gl.getExtension(\\\\\\\"MOZ_EXT_texture_filter_anisotropic\\\\\\\") || gl.getExtension(\\\\\\\"WEBKIT_EXT_texture_filter_anisotropic\\\\\\\");\\n break;\\n case \\\\\\\"WEBGL_compressed_texture_s3tc\\\\\\\":\\n extension = gl.getExtension(\\\\\\\"WEBGL_compressed_texture_s3tc\\\\\\\") || gl.getExtension(\\\\\\\"MOZ_WEBGL_compressed_texture_s3tc\\\\\\\") || gl.getExtension(\\\\\\\"WEBKIT_WEBGL_compressed_texture_s3tc\\\\\\\");\\n break;\\n case \\\\\\\"WEBGL_compressed_texture_pvrtc\\\\\\\":\\n extension = gl.getExtension(\\\\\\\"WEBGL_compressed_texture_pvrtc\\\\\\\") || gl.getExtension(\\\\\\\"WEBKIT_WEBGL_compressed_texture_pvrtc\\\\\\\");\\n break;\\n default:\\n extension = gl.getExtension(name);\\n }\\n extensions[name] = extension;\\n return extension;\\n }\\n return {\\n has: function(name) {\\n return getExtension(name) !== null;\\n },\\n init: function(capabilities) {\\n if (capabilities.isWebGL2) {\\n getExtension(\\\\\\\"EXT_color_buffer_float\\\\\\\");\\n } else {\\n getExtension(\\\\\\\"WEBGL_depth_texture\\\\\\\");\\n getExtension(\\\\\\\"OES_texture_float\\\\\\\");\\n getExtension(\\\\\\\"OES_texture_half_float\\\\\\\");\\n getExtension(\\\\\\\"OES_texture_half_float_linear\\\\\\\");\\n getExtension(\\\\\\\"OES_standard_derivatives\\\\\\\");\\n getExtension(\\\\\\\"OES_element_index_uint\\\\\\\");\\n getExtension(\\\\\\\"OES_vertex_array_object\\\\\\\");\\n getExtension(\\\\\\\"ANGLE_instanced_arrays\\\\\\\");\\n }\\n getExtension(\\\\\\\"OES_texture_float_linear\\\\\\\");\\n getExtension(\\\\\\\"EXT_color_buffer_half_float\\\\\\\");\\n },\\n get: function(name) {\\n const extension = getExtension(name);\\n if (extension === null) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: \\\\\\\" + name + \\\\\\\" extension not supported.\\\\\\\");\\n }\\n return extension;\\n }\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLGeometries.js\\nfunction WebGLGeometries(gl, attributes, info, bindingStates) {\\n const geometries = {};\\n const wireframeAttributes = new WeakMap();\\n function onGeometryDispose(event) {\\n const geometry = event.target;\\n if (geometry.index !== null) {\\n attributes.remove(geometry.index);\\n }\\n for (const name in geometry.attributes) {\\n attributes.remove(geometry.attributes[name]);\\n }\\n geometry.removeEventListener(\\\\\\\"dispose\\\\\\\", onGeometryDispose);\\n delete geometries[geometry.id];\\n const attribute = wireframeAttributes.get(geometry);\\n if (attribute) {\\n attributes.remove(attribute);\\n wireframeAttributes.delete(geometry);\\n }\\n bindingStates.releaseStatesOfGeometry(geometry);\\n if (geometry.isInstancedBufferGeometry === true) {\\n delete geometry._maxInstanceCount;\\n }\\n info.memory.geometries--;\\n }\\n function get(object, geometry) {\\n if (geometries[geometry.id] === true)\\n return geometry;\\n geometry.addEventListener(\\\\\\\"dispose\\\\\\\", onGeometryDispose);\\n geometries[geometry.id] = true;\\n info.memory.geometries++;\\n return geometry;\\n }\\n function update(geometry) {\\n const geometryAttributes = geometry.attributes;\\n for (const name in geometryAttributes) {\\n attributes.update(geometryAttributes[name], gl.ARRAY_BUFFER);\\n }\\n const morphAttributes = geometry.morphAttributes;\\n for (const name in morphAttributes) {\\n const array = morphAttributes[name];\\n for (let i = 0, l = array.length; i < l; i++) {\\n attributes.update(array[i], gl.ARRAY_BUFFER);\\n }\\n }\\n }\\n function updateWireframeAttribute(geometry) {\\n const indices = [];\\n const geometryIndex = geometry.index;\\n const geometryPosition = geometry.attributes.position;\\n let version = 0;\\n if (geometryIndex !== null) {\\n const array = geometryIndex.array;\\n version = geometryIndex.version;\\n for (let i = 0, l = array.length; i < l; i += 3) {\\n const a = array[i + 0];\\n const b = array[i + 1];\\n const c = array[i + 2];\\n indices.push(a, b, b, c, c, a);\\n }\\n } else {\\n const array = geometryPosition.array;\\n version = geometryPosition.version;\\n for (let i = 0, l = array.length / 3 - 1; i < l; i += 3) {\\n const a = i + 0;\\n const b = i + 1;\\n const c = i + 2;\\n indices.push(a, b, b, c, c, a);\\n }\\n }\\n const attribute = new (arrayMax(indices) > 65535 ? Uint32BufferAttribute : Uint16BufferAttribute)(indices, 1);\\n attribute.version = version;\\n const previousAttribute = wireframeAttributes.get(geometry);\\n if (previousAttribute)\\n attributes.remove(previousAttribute);\\n wireframeAttributes.set(geometry, attribute);\\n }\\n function getWireframeAttribute(geometry) {\\n const currentAttribute = wireframeAttributes.get(geometry);\\n if (currentAttribute) {\\n const geometryIndex = geometry.index;\\n if (geometryIndex !== null) {\\n if (currentAttribute.version < geometryIndex.version) {\\n updateWireframeAttribute(geometry);\\n }\\n }\\n } else {\\n updateWireframeAttribute(geometry);\\n }\\n return wireframeAttributes.get(geometry);\\n }\\n return {\\n get,\\n update,\\n getWireframeAttribute\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLIndexedBufferRenderer.js\\nfunction WebGLIndexedBufferRenderer(gl, extensions, info, capabilities) {\\n const isWebGL2 = capabilities.isWebGL2;\\n let mode;\\n function setMode(value) {\\n mode = value;\\n }\\n let type, bytesPerElement;\\n function setIndex(value) {\\n type = value.type;\\n bytesPerElement = value.bytesPerElement;\\n }\\n function render(start, count) {\\n gl.drawElements(mode, count, type, start * bytesPerElement);\\n info.update(count, mode, 1);\\n }\\n function renderInstances(start, count, primcount) {\\n if (primcount === 0)\\n return;\\n let extension, methodName;\\n if (isWebGL2) {\\n extension = gl;\\n methodName = \\\\\\\"drawElementsInstanced\\\\\\\";\\n } else {\\n extension = extensions.get(\\\\\\\"ANGLE_instanced_arrays\\\\\\\");\\n methodName = \\\\\\\"drawElementsInstancedANGLE\\\\\\\";\\n if (extension === null) {\\n console.error(\\\\\\\"THREE.WebGLIndexedBufferRenderer: using THREE.InstancedBufferGeometry but hardware does not support extension ANGLE_instanced_arrays.\\\\\\\");\\n return;\\n }\\n }\\n extension[methodName](mode, count, type, start * bytesPerElement, primcount);\\n info.update(count, mode, primcount);\\n }\\n this.setMode = setMode;\\n this.setIndex = setIndex;\\n this.render = render;\\n this.renderInstances = renderInstances;\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLInfo.js\\nfunction WebGLInfo(gl) {\\n const memory = {\\n geometries: 0,\\n textures: 0\\n };\\n const render = {\\n frame: 0,\\n calls: 0,\\n triangles: 0,\\n points: 0,\\n lines: 0\\n };\\n function update(count, mode, instanceCount) {\\n render.calls++;\\n switch (mode) {\\n case gl.TRIANGLES:\\n render.triangles += instanceCount * (count / 3);\\n break;\\n case gl.LINES:\\n render.lines += instanceCount * (count / 2);\\n break;\\n case gl.LINE_STRIP:\\n render.lines += instanceCount * (count - 1);\\n break;\\n case gl.LINE_LOOP:\\n render.lines += instanceCount * count;\\n break;\\n case gl.POINTS:\\n render.points += instanceCount * count;\\n break;\\n default:\\n console.error(\\\\\\\"THREE.WebGLInfo: Unknown draw mode:\\\\\\\", mode);\\n break;\\n }\\n }\\n function reset() {\\n render.frame++;\\n render.calls = 0;\\n render.triangles = 0;\\n render.points = 0;\\n render.lines = 0;\\n }\\n return {\\n memory,\\n render,\\n programs: null,\\n autoReset: true,\\n reset,\\n update\\n };\\n}\\n\\n// ../../../node_modules/three/src/textures/DataTexture2DArray.js\\nvar DataTexture2DArray = class extends Texture {\\n constructor(data = null, width = 1, height = 1, depth2 = 1) {\\n super(null);\\n this.image = {data, width, height, depth: depth2};\\n this.magFilter = NearestFilter;\\n this.minFilter = NearestFilter;\\n this.wrapR = ClampToEdgeWrapping;\\n this.generateMipmaps = false;\\n this.flipY = false;\\n this.unpackAlignment = 1;\\n this.needsUpdate = true;\\n }\\n};\\nDataTexture2DArray.prototype.isDataTexture2DArray = true;\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLMorphtargets.js\\nfunction numericalSort(a, b) {\\n return a[0] - b[0];\\n}\\nfunction absNumericalSort(a, b) {\\n return Math.abs(b[1]) - Math.abs(a[1]);\\n}\\nfunction denormalize(morph, attribute) {\\n let denominator = 1;\\n const array = attribute.isInterleavedBufferAttribute ? attribute.data.array : attribute.array;\\n if (array instanceof Int8Array)\\n denominator = 127;\\n else if (array instanceof Int16Array)\\n denominator = 32767;\\n else if (array instanceof Int32Array)\\n denominator = 2147483647;\\n else\\n console.error(\\\\\\\"THREE.WebGLMorphtargets: Unsupported morph attribute data type: \\\\\\\", array);\\n morph.divideScalar(denominator);\\n}\\nfunction WebGLMorphtargets(gl, capabilities, textures) {\\n const influencesList = {};\\n const morphInfluences = new Float32Array(8);\\n const morphTextures = new WeakMap();\\n const morph = new Vector3();\\n const workInfluences = [];\\n for (let i = 0; i < 8; i++) {\\n workInfluences[i] = [i, 0];\\n }\\n function update(object, geometry, material, program) {\\n const objectInfluences = object.morphTargetInfluences;\\n if (capabilities.isWebGL2 === true) {\\n const numberOfMorphTargets = geometry.morphAttributes.position.length;\\n let entry = morphTextures.get(geometry);\\n if (entry === void 0 || entry.count !== numberOfMorphTargets) {\\n if (entry !== void 0)\\n entry.texture.dispose();\\n const hasMorphNormals = geometry.morphAttributes.normal !== void 0;\\n const morphTargets = geometry.morphAttributes.position;\\n const morphNormals = geometry.morphAttributes.normal || [];\\n const numberOfVertices = geometry.attributes.position.count;\\n const numberOfVertexData = hasMorphNormals === true ? 2 : 1;\\n let width = numberOfVertices * numberOfVertexData;\\n let height = 1;\\n if (width > capabilities.maxTextureSize) {\\n height = Math.ceil(width / capabilities.maxTextureSize);\\n width = capabilities.maxTextureSize;\\n }\\n const buffer = new Float32Array(width * height * 4 * numberOfMorphTargets);\\n const texture = new DataTexture2DArray(buffer, width, height, numberOfMorphTargets);\\n texture.format = RGBAFormat;\\n texture.type = FloatType;\\n const vertexDataStride = numberOfVertexData * 4;\\n for (let i = 0; i < numberOfMorphTargets; i++) {\\n const morphTarget = morphTargets[i];\\n const morphNormal = morphNormals[i];\\n const offset = width * height * 4 * i;\\n for (let j = 0; j < morphTarget.count; j++) {\\n morph.fromBufferAttribute(morphTarget, j);\\n if (morphTarget.normalized === true)\\n denormalize(morph, morphTarget);\\n const stride = j * vertexDataStride;\\n buffer[offset + stride + 0] = morph.x;\\n buffer[offset + stride + 1] = morph.y;\\n buffer[offset + stride + 2] = morph.z;\\n buffer[offset + stride + 3] = 0;\\n if (hasMorphNormals === true) {\\n morph.fromBufferAttribute(morphNormal, j);\\n if (morphNormal.normalized === true)\\n denormalize(morph, morphNormal);\\n buffer[offset + stride + 4] = morph.x;\\n buffer[offset + stride + 5] = morph.y;\\n buffer[offset + stride + 6] = morph.z;\\n buffer[offset + stride + 7] = 0;\\n }\\n }\\n }\\n entry = {\\n count: numberOfMorphTargets,\\n texture,\\n size: new Vector2(width, height)\\n };\\n morphTextures.set(geometry, entry);\\n }\\n let morphInfluencesSum = 0;\\n for (let i = 0; i < objectInfluences.length; i++) {\\n morphInfluencesSum += objectInfluences[i];\\n }\\n const morphBaseInfluence = geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\\n program.getUniforms().setValue(gl, \\\\\\\"morphTargetBaseInfluence\\\\\\\", morphBaseInfluence);\\n program.getUniforms().setValue(gl, \\\\\\\"morphTargetInfluences\\\\\\\", objectInfluences);\\n program.getUniforms().setValue(gl, \\\\\\\"morphTargetsTexture\\\\\\\", entry.texture, textures);\\n program.getUniforms().setValue(gl, \\\\\\\"morphTargetsTextureSize\\\\\\\", entry.size);\\n } else {\\n const length = objectInfluences === void 0 ? 0 : objectInfluences.length;\\n let influences = influencesList[geometry.id];\\n if (influences === void 0 || influences.length !== length) {\\n influences = [];\\n for (let i = 0; i < length; i++) {\\n influences[i] = [i, 0];\\n }\\n influencesList[geometry.id] = influences;\\n }\\n for (let i = 0; i < length; i++) {\\n const influence = influences[i];\\n influence[0] = i;\\n influence[1] = objectInfluences[i];\\n }\\n influences.sort(absNumericalSort);\\n for (let i = 0; i < 8; i++) {\\n if (i < length && influences[i][1]) {\\n workInfluences[i][0] = influences[i][0];\\n workInfluences[i][1] = influences[i][1];\\n } else {\\n workInfluences[i][0] = Number.MAX_SAFE_INTEGER;\\n workInfluences[i][1] = 0;\\n }\\n }\\n workInfluences.sort(numericalSort);\\n const morphTargets = geometry.morphAttributes.position;\\n const morphNormals = geometry.morphAttributes.normal;\\n let morphInfluencesSum = 0;\\n for (let i = 0; i < 8; i++) {\\n const influence = workInfluences[i];\\n const index = influence[0];\\n const value = influence[1];\\n if (index !== Number.MAX_SAFE_INTEGER && value) {\\n if (morphTargets && geometry.getAttribute(\\\\\\\"morphTarget\\\\\\\" + i) !== morphTargets[index]) {\\n geometry.setAttribute(\\\\\\\"morphTarget\\\\\\\" + i, morphTargets[index]);\\n }\\n if (morphNormals && geometry.getAttribute(\\\\\\\"morphNormal\\\\\\\" + i) !== morphNormals[index]) {\\n geometry.setAttribute(\\\\\\\"morphNormal\\\\\\\" + i, morphNormals[index]);\\n }\\n morphInfluences[i] = value;\\n morphInfluencesSum += value;\\n } else {\\n if (morphTargets && geometry.hasAttribute(\\\\\\\"morphTarget\\\\\\\" + i) === true) {\\n geometry.deleteAttribute(\\\\\\\"morphTarget\\\\\\\" + i);\\n }\\n if (morphNormals && geometry.hasAttribute(\\\\\\\"morphNormal\\\\\\\" + i) === true) {\\n geometry.deleteAttribute(\\\\\\\"morphNormal\\\\\\\" + i);\\n }\\n morphInfluences[i] = 0;\\n }\\n }\\n const morphBaseInfluence = geometry.morphTargetsRelative ? 1 : 1 - morphInfluencesSum;\\n program.getUniforms().setValue(gl, \\\\\\\"morphTargetBaseInfluence\\\\\\\", morphBaseInfluence);\\n program.getUniforms().setValue(gl, \\\\\\\"morphTargetInfluences\\\\\\\", morphInfluences);\\n }\\n }\\n return {\\n update\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/WebGLMultisampleRenderTarget.js\\nvar WebGLMultisampleRenderTarget = class extends WebGLRenderTarget {\\n constructor(width, height, options) {\\n super(width, height, options);\\n this.samples = 4;\\n }\\n copy(source) {\\n super.copy.call(this, source);\\n this.samples = source.samples;\\n return this;\\n }\\n};\\nWebGLMultisampleRenderTarget.prototype.isWebGLMultisampleRenderTarget = true;\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLObjects.js\\nfunction WebGLObjects(gl, geometries, attributes, info) {\\n let updateMap = new WeakMap();\\n function update(object) {\\n const frame = info.render.frame;\\n const geometry = object.geometry;\\n const buffergeometry = geometries.get(object, geometry);\\n if (updateMap.get(buffergeometry) !== frame) {\\n geometries.update(buffergeometry);\\n updateMap.set(buffergeometry, frame);\\n }\\n if (object.isInstancedMesh) {\\n if (object.hasEventListener(\\\\\\\"dispose\\\\\\\", onInstancedMeshDispose) === false) {\\n object.addEventListener(\\\\\\\"dispose\\\\\\\", onInstancedMeshDispose);\\n }\\n attributes.update(object.instanceMatrix, gl.ARRAY_BUFFER);\\n if (object.instanceColor !== null) {\\n attributes.update(object.instanceColor, gl.ARRAY_BUFFER);\\n }\\n }\\n return buffergeometry;\\n }\\n function dispose() {\\n updateMap = new WeakMap();\\n }\\n function onInstancedMeshDispose(event) {\\n const instancedMesh = event.target;\\n instancedMesh.removeEventListener(\\\\\\\"dispose\\\\\\\", onInstancedMeshDispose);\\n attributes.remove(instancedMesh.instanceMatrix);\\n if (instancedMesh.instanceColor !== null)\\n attributes.remove(instancedMesh.instanceColor);\\n }\\n return {\\n update,\\n dispose\\n };\\n}\\n\\n// ../../../node_modules/three/src/textures/DataTexture3D.js\\nvar DataTexture3D = class extends Texture {\\n constructor(data = null, width = 1, height = 1, depth2 = 1) {\\n super(null);\\n this.image = {data, width, height, depth: depth2};\\n this.magFilter = NearestFilter;\\n this.minFilter = NearestFilter;\\n this.wrapR = ClampToEdgeWrapping;\\n this.generateMipmaps = false;\\n this.flipY = false;\\n this.unpackAlignment = 1;\\n this.needsUpdate = true;\\n }\\n};\\nDataTexture3D.prototype.isDataTexture3D = true;\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLUniforms.js\\nvar emptyTexture = new Texture();\\nvar emptyTexture2dArray = new DataTexture2DArray();\\nvar emptyTexture3d = new DataTexture3D();\\nvar emptyCubeTexture = new CubeTexture();\\nvar arrayCacheF32 = [];\\nvar arrayCacheI32 = [];\\nvar mat4array = new Float32Array(16);\\nvar mat3array = new Float32Array(9);\\nvar mat2array = new Float32Array(4);\\nfunction flatten(array, nBlocks, blockSize) {\\n const firstElem = array[0];\\n if (firstElem <= 0 || firstElem > 0)\\n return array;\\n const n = nBlocks * blockSize;\\n let r = arrayCacheF32[n];\\n if (r === void 0) {\\n r = new Float32Array(n);\\n arrayCacheF32[n] = r;\\n }\\n if (nBlocks !== 0) {\\n firstElem.toArray(r, 0);\\n for (let i = 1, offset = 0; i !== nBlocks; ++i) {\\n offset += blockSize;\\n array[i].toArray(r, offset);\\n }\\n }\\n return r;\\n}\\nfunction arraysEqual(a, b) {\\n if (a.length !== b.length)\\n return false;\\n for (let i = 0, l = a.length; i < l; i++) {\\n if (a[i] !== b[i])\\n return false;\\n }\\n return true;\\n}\\nfunction copyArray(a, b) {\\n for (let i = 0, l = b.length; i < l; i++) {\\n a[i] = b[i];\\n }\\n}\\nfunction allocTexUnits(textures, n) {\\n let r = arrayCacheI32[n];\\n if (r === void 0) {\\n r = new Int32Array(n);\\n arrayCacheI32[n] = r;\\n }\\n for (let i = 0; i !== n; ++i) {\\n r[i] = textures.allocateTextureUnit();\\n }\\n return r;\\n}\\nfunction setValueV1f(gl, v) {\\n const cache = this.cache;\\n if (cache[0] === v)\\n return;\\n gl.uniform1f(this.addr, v);\\n cache[0] = v;\\n}\\nfunction setValueV2f(gl, v) {\\n const cache = this.cache;\\n if (v.x !== void 0) {\\n if (cache[0] !== v.x || cache[1] !== v.y) {\\n gl.uniform2f(this.addr, v.x, v.y);\\n cache[0] = v.x;\\n cache[1] = v.y;\\n }\\n } else {\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniform2fv(this.addr, v);\\n copyArray(cache, v);\\n }\\n}\\nfunction setValueV3f(gl, v) {\\n const cache = this.cache;\\n if (v.x !== void 0) {\\n if (cache[0] !== v.x || cache[1] !== v.y || cache[2] !== v.z) {\\n gl.uniform3f(this.addr, v.x, v.y, v.z);\\n cache[0] = v.x;\\n cache[1] = v.y;\\n cache[2] = v.z;\\n }\\n } else if (v.r !== void 0) {\\n if (cache[0] !== v.r || cache[1] !== v.g || cache[2] !== v.b) {\\n gl.uniform3f(this.addr, v.r, v.g, v.b);\\n cache[0] = v.r;\\n cache[1] = v.g;\\n cache[2] = v.b;\\n }\\n } else {\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniform3fv(this.addr, v);\\n copyArray(cache, v);\\n }\\n}\\nfunction setValueV4f(gl, v) {\\n const cache = this.cache;\\n if (v.x !== void 0) {\\n if (cache[0] !== v.x || cache[1] !== v.y || cache[2] !== v.z || cache[3] !== v.w) {\\n gl.uniform4f(this.addr, v.x, v.y, v.z, v.w);\\n cache[0] = v.x;\\n cache[1] = v.y;\\n cache[2] = v.z;\\n cache[3] = v.w;\\n }\\n } else {\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniform4fv(this.addr, v);\\n copyArray(cache, v);\\n }\\n}\\nfunction setValueM2(gl, v) {\\n const cache = this.cache;\\n const elements = v.elements;\\n if (elements === void 0) {\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniformMatrix2fv(this.addr, false, v);\\n copyArray(cache, v);\\n } else {\\n if (arraysEqual(cache, elements))\\n return;\\n mat2array.set(elements);\\n gl.uniformMatrix2fv(this.addr, false, mat2array);\\n copyArray(cache, elements);\\n }\\n}\\nfunction setValueM3(gl, v) {\\n const cache = this.cache;\\n const elements = v.elements;\\n if (elements === void 0) {\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniformMatrix3fv(this.addr, false, v);\\n copyArray(cache, v);\\n } else {\\n if (arraysEqual(cache, elements))\\n return;\\n mat3array.set(elements);\\n gl.uniformMatrix3fv(this.addr, false, mat3array);\\n copyArray(cache, elements);\\n }\\n}\\nfunction setValueM4(gl, v) {\\n const cache = this.cache;\\n const elements = v.elements;\\n if (elements === void 0) {\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniformMatrix4fv(this.addr, false, v);\\n copyArray(cache, v);\\n } else {\\n if (arraysEqual(cache, elements))\\n return;\\n mat4array.set(elements);\\n gl.uniformMatrix4fv(this.addr, false, mat4array);\\n copyArray(cache, elements);\\n }\\n}\\nfunction setValueV1i(gl, v) {\\n const cache = this.cache;\\n if (cache[0] === v)\\n return;\\n gl.uniform1i(this.addr, v);\\n cache[0] = v;\\n}\\nfunction setValueV2i(gl, v) {\\n const cache = this.cache;\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniform2iv(this.addr, v);\\n copyArray(cache, v);\\n}\\nfunction setValueV3i(gl, v) {\\n const cache = this.cache;\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniform3iv(this.addr, v);\\n copyArray(cache, v);\\n}\\nfunction setValueV4i(gl, v) {\\n const cache = this.cache;\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniform4iv(this.addr, v);\\n copyArray(cache, v);\\n}\\nfunction setValueV1ui(gl, v) {\\n const cache = this.cache;\\n if (cache[0] === v)\\n return;\\n gl.uniform1ui(this.addr, v);\\n cache[0] = v;\\n}\\nfunction setValueV2ui(gl, v) {\\n const cache = this.cache;\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniform2uiv(this.addr, v);\\n copyArray(cache, v);\\n}\\nfunction setValueV3ui(gl, v) {\\n const cache = this.cache;\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniform3uiv(this.addr, v);\\n copyArray(cache, v);\\n}\\nfunction setValueV4ui(gl, v) {\\n const cache = this.cache;\\n if (arraysEqual(cache, v))\\n return;\\n gl.uniform4uiv(this.addr, v);\\n copyArray(cache, v);\\n}\\nfunction setValueT1(gl, v, textures) {\\n const cache = this.cache;\\n const unit = textures.allocateTextureUnit();\\n if (cache[0] !== unit) {\\n gl.uniform1i(this.addr, unit);\\n cache[0] = unit;\\n }\\n textures.safeSetTexture2D(v || emptyTexture, unit);\\n}\\nfunction setValueT3D1(gl, v, textures) {\\n const cache = this.cache;\\n const unit = textures.allocateTextureUnit();\\n if (cache[0] !== unit) {\\n gl.uniform1i(this.addr, unit);\\n cache[0] = unit;\\n }\\n textures.setTexture3D(v || emptyTexture3d, unit);\\n}\\nfunction setValueT6(gl, v, textures) {\\n const cache = this.cache;\\n const unit = textures.allocateTextureUnit();\\n if (cache[0] !== unit) {\\n gl.uniform1i(this.addr, unit);\\n cache[0] = unit;\\n }\\n textures.safeSetTextureCube(v || emptyCubeTexture, unit);\\n}\\nfunction setValueT2DArray1(gl, v, textures) {\\n const cache = this.cache;\\n const unit = textures.allocateTextureUnit();\\n if (cache[0] !== unit) {\\n gl.uniform1i(this.addr, unit);\\n cache[0] = unit;\\n }\\n textures.setTexture2DArray(v || emptyTexture2dArray, unit);\\n}\\nfunction getSingularSetter(type) {\\n switch (type) {\\n case 5126:\\n return setValueV1f;\\n case 35664:\\n return setValueV2f;\\n case 35665:\\n return setValueV3f;\\n case 35666:\\n return setValueV4f;\\n case 35674:\\n return setValueM2;\\n case 35675:\\n return setValueM3;\\n case 35676:\\n return setValueM4;\\n case 5124:\\n case 35670:\\n return setValueV1i;\\n case 35667:\\n case 35671:\\n return setValueV2i;\\n case 35668:\\n case 35672:\\n return setValueV3i;\\n case 35669:\\n case 35673:\\n return setValueV4i;\\n case 5125:\\n return setValueV1ui;\\n case 36294:\\n return setValueV2ui;\\n case 36295:\\n return setValueV3ui;\\n case 36296:\\n return setValueV4ui;\\n case 35678:\\n case 36198:\\n case 36298:\\n case 36306:\\n case 35682:\\n return setValueT1;\\n case 35679:\\n case 36299:\\n case 36307:\\n return setValueT3D1;\\n case 35680:\\n case 36300:\\n case 36308:\\n case 36293:\\n return setValueT6;\\n case 36289:\\n case 36303:\\n case 36311:\\n case 36292:\\n return setValueT2DArray1;\\n }\\n}\\nfunction setValueV1fArray(gl, v) {\\n gl.uniform1fv(this.addr, v);\\n}\\nfunction setValueV2fArray(gl, v) {\\n const data = flatten(v, this.size, 2);\\n gl.uniform2fv(this.addr, data);\\n}\\nfunction setValueV3fArray(gl, v) {\\n const data = flatten(v, this.size, 3);\\n gl.uniform3fv(this.addr, data);\\n}\\nfunction setValueV4fArray(gl, v) {\\n const data = flatten(v, this.size, 4);\\n gl.uniform4fv(this.addr, data);\\n}\\nfunction setValueM2Array(gl, v) {\\n const data = flatten(v, this.size, 4);\\n gl.uniformMatrix2fv(this.addr, false, data);\\n}\\nfunction setValueM3Array(gl, v) {\\n const data = flatten(v, this.size, 9);\\n gl.uniformMatrix3fv(this.addr, false, data);\\n}\\nfunction setValueM4Array(gl, v) {\\n const data = flatten(v, this.size, 16);\\n gl.uniformMatrix4fv(this.addr, false, data);\\n}\\nfunction setValueV1iArray(gl, v) {\\n gl.uniform1iv(this.addr, v);\\n}\\nfunction setValueV2iArray(gl, v) {\\n gl.uniform2iv(this.addr, v);\\n}\\nfunction setValueV3iArray(gl, v) {\\n gl.uniform3iv(this.addr, v);\\n}\\nfunction setValueV4iArray(gl, v) {\\n gl.uniform4iv(this.addr, v);\\n}\\nfunction setValueV1uiArray(gl, v) {\\n gl.uniform1uiv(this.addr, v);\\n}\\nfunction setValueV2uiArray(gl, v) {\\n gl.uniform2uiv(this.addr, v);\\n}\\nfunction setValueV3uiArray(gl, v) {\\n gl.uniform3uiv(this.addr, v);\\n}\\nfunction setValueV4uiArray(gl, v) {\\n gl.uniform4uiv(this.addr, v);\\n}\\nfunction setValueT1Array(gl, v, textures) {\\n const n = v.length;\\n const units = allocTexUnits(textures, n);\\n gl.uniform1iv(this.addr, units);\\n for (let i = 0; i !== n; ++i) {\\n textures.safeSetTexture2D(v[i] || emptyTexture, units[i]);\\n }\\n}\\nfunction setValueT6Array(gl, v, textures) {\\n const n = v.length;\\n const units = allocTexUnits(textures, n);\\n gl.uniform1iv(this.addr, units);\\n for (let i = 0; i !== n; ++i) {\\n textures.safeSetTextureCube(v[i] || emptyCubeTexture, units[i]);\\n }\\n}\\nfunction getPureArraySetter(type) {\\n switch (type) {\\n case 5126:\\n return setValueV1fArray;\\n case 35664:\\n return setValueV2fArray;\\n case 35665:\\n return setValueV3fArray;\\n case 35666:\\n return setValueV4fArray;\\n case 35674:\\n return setValueM2Array;\\n case 35675:\\n return setValueM3Array;\\n case 35676:\\n return setValueM4Array;\\n case 5124:\\n case 35670:\\n return setValueV1iArray;\\n case 35667:\\n case 35671:\\n return setValueV2iArray;\\n case 35668:\\n case 35672:\\n return setValueV3iArray;\\n case 35669:\\n case 35673:\\n return setValueV4iArray;\\n case 5125:\\n return setValueV1uiArray;\\n case 36294:\\n return setValueV2uiArray;\\n case 36295:\\n return setValueV3uiArray;\\n case 36296:\\n return setValueV4uiArray;\\n case 35678:\\n case 36198:\\n case 36298:\\n case 36306:\\n case 35682:\\n return setValueT1Array;\\n case 35680:\\n case 36300:\\n case 36308:\\n case 36293:\\n return setValueT6Array;\\n }\\n}\\nfunction SingleUniform(id, activeInfo, addr) {\\n this.id = id;\\n this.addr = addr;\\n this.cache = [];\\n this.setValue = getSingularSetter(activeInfo.type);\\n}\\nfunction PureArrayUniform(id, activeInfo, addr) {\\n this.id = id;\\n this.addr = addr;\\n this.cache = [];\\n this.size = activeInfo.size;\\n this.setValue = getPureArraySetter(activeInfo.type);\\n}\\nPureArrayUniform.prototype.updateCache = function(data) {\\n const cache = this.cache;\\n if (data instanceof Float32Array && cache.length !== data.length) {\\n this.cache = new Float32Array(data.length);\\n }\\n copyArray(cache, data);\\n};\\nfunction StructuredUniform(id) {\\n this.id = id;\\n this.seq = [];\\n this.map = {};\\n}\\nStructuredUniform.prototype.setValue = function(gl, value, textures) {\\n const seq = this.seq;\\n for (let i = 0, n = seq.length; i !== n; ++i) {\\n const u = seq[i];\\n u.setValue(gl, value[u.id], textures);\\n }\\n};\\nvar RePathPart = /(\\\\w+)(\\\\])?(\\\\[|\\\\.)?/g;\\nfunction addUniform(container, uniformObject) {\\n container.seq.push(uniformObject);\\n container.map[uniformObject.id] = uniformObject;\\n}\\nfunction parseUniform(activeInfo, addr, container) {\\n const path = activeInfo.name, pathLength = path.length;\\n RePathPart.lastIndex = 0;\\n while (true) {\\n const match = RePathPart.exec(path), matchEnd = RePathPart.lastIndex;\\n let id = match[1];\\n const idIsIndex = match[2] === \\\\\\\"]\\\\\\\", subscript = match[3];\\n if (idIsIndex)\\n id = id | 0;\\n if (subscript === void 0 || subscript === \\\\\\\"[\\\\\\\" && matchEnd + 2 === pathLength) {\\n addUniform(container, subscript === void 0 ? new SingleUniform(id, activeInfo, addr) : new PureArrayUniform(id, activeInfo, addr));\\n break;\\n } else {\\n const map = container.map;\\n let next = map[id];\\n if (next === void 0) {\\n next = new StructuredUniform(id);\\n addUniform(container, next);\\n }\\n container = next;\\n }\\n }\\n}\\nfunction WebGLUniforms(gl, program) {\\n this.seq = [];\\n this.map = {};\\n const n = gl.getProgramParameter(program, gl.ACTIVE_UNIFORMS);\\n for (let i = 0; i < n; ++i) {\\n const info = gl.getActiveUniform(program, i), addr = gl.getUniformLocation(program, info.name);\\n parseUniform(info, addr, this);\\n }\\n}\\nWebGLUniforms.prototype.setValue = function(gl, name, value, textures) {\\n const u = this.map[name];\\n if (u !== void 0)\\n u.setValue(gl, value, textures);\\n};\\nWebGLUniforms.prototype.setOptional = function(gl, object, name) {\\n const v = object[name];\\n if (v !== void 0)\\n this.setValue(gl, name, v);\\n};\\nWebGLUniforms.upload = function(gl, seq, values, textures) {\\n for (let i = 0, n = seq.length; i !== n; ++i) {\\n const u = seq[i], v = values[u.id];\\n if (v.needsUpdate !== false) {\\n u.setValue(gl, v.value, textures);\\n }\\n }\\n};\\nWebGLUniforms.seqWithValue = function(seq, values) {\\n const r = [];\\n for (let i = 0, n = seq.length; i !== n; ++i) {\\n const u = seq[i];\\n if (u.id in values)\\n r.push(u);\\n }\\n return r;\\n};\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLShader.js\\nfunction WebGLShader(gl, type, string) {\\n const shader = gl.createShader(type);\\n gl.shaderSource(shader, string);\\n gl.compileShader(shader);\\n return shader;\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLProgram.js\\nvar programIdCount = 0;\\nfunction addLineNumbers(string) {\\n const lines = string.split(\\\\\\\"\\\\n\\\\\\\");\\n for (let i = 0; i < lines.length; i++) {\\n lines[i] = i + 1 + \\\\\\\": \\\\\\\" + lines[i];\\n }\\n return lines.join(\\\\\\\"\\\\n\\\\\\\");\\n}\\nfunction getEncodingComponents(encoding) {\\n switch (encoding) {\\n case LinearEncoding:\\n return [\\\\\\\"Linear\\\\\\\", \\\\\\\"( value )\\\\\\\"];\\n case sRGBEncoding:\\n return [\\\\\\\"sRGB\\\\\\\", \\\\\\\"( value )\\\\\\\"];\\n case RGBEEncoding:\\n return [\\\\\\\"RGBE\\\\\\\", \\\\\\\"( value )\\\\\\\"];\\n case RGBM7Encoding:\\n return [\\\\\\\"RGBM\\\\\\\", \\\\\\\"( value, 7.0 )\\\\\\\"];\\n case RGBM16Encoding:\\n return [\\\\\\\"RGBM\\\\\\\", \\\\\\\"( value, 16.0 )\\\\\\\"];\\n case RGBDEncoding:\\n return [\\\\\\\"RGBD\\\\\\\", \\\\\\\"( value, 256.0 )\\\\\\\"];\\n case GammaEncoding:\\n return [\\\\\\\"Gamma\\\\\\\", \\\\\\\"( value, float( GAMMA_FACTOR ) )\\\\\\\"];\\n case LogLuvEncoding:\\n return [\\\\\\\"LogLuv\\\\\\\", \\\\\\\"( value )\\\\\\\"];\\n default:\\n console.warn(\\\\\\\"THREE.WebGLProgram: Unsupported encoding:\\\\\\\", encoding);\\n return [\\\\\\\"Linear\\\\\\\", \\\\\\\"( value )\\\\\\\"];\\n }\\n}\\nfunction getShaderErrors(gl, shader, type) {\\n const status = gl.getShaderParameter(shader, gl.COMPILE_STATUS);\\n const errors = gl.getShaderInfoLog(shader).trim();\\n if (status && errors === \\\\\\\"\\\\\\\")\\n return \\\\\\\"\\\\\\\";\\n return type.toUpperCase() + \\\\\\\"\\\\n\\\\n\\\\\\\" + errors + \\\\\\\"\\\\n\\\\n\\\\\\\" + addLineNumbers(gl.getShaderSource(shader));\\n}\\nfunction getTexelDecodingFunction(functionName, encoding) {\\n const components = getEncodingComponents(encoding);\\n return \\\\\\\"vec4 \\\\\\\" + functionName + \\\\\\\"( vec4 value ) { return \\\\\\\" + components[0] + \\\\\\\"ToLinear\\\\\\\" + components[1] + \\\\\\\"; }\\\\\\\";\\n}\\nfunction getTexelEncodingFunction(functionName, encoding) {\\n const components = getEncodingComponents(encoding);\\n return \\\\\\\"vec4 \\\\\\\" + functionName + \\\\\\\"( vec4 value ) { return LinearTo\\\\\\\" + components[0] + components[1] + \\\\\\\"; }\\\\\\\";\\n}\\nfunction getToneMappingFunction(functionName, toneMapping) {\\n let toneMappingName;\\n switch (toneMapping) {\\n case LinearToneMapping:\\n toneMappingName = \\\\\\\"Linear\\\\\\\";\\n break;\\n case ReinhardToneMapping:\\n toneMappingName = \\\\\\\"Reinhard\\\\\\\";\\n break;\\n case CineonToneMapping:\\n toneMappingName = \\\\\\\"OptimizedCineon\\\\\\\";\\n break;\\n case ACESFilmicToneMapping:\\n toneMappingName = \\\\\\\"ACESFilmic\\\\\\\";\\n break;\\n case CustomToneMapping:\\n toneMappingName = \\\\\\\"Custom\\\\\\\";\\n break;\\n default:\\n console.warn(\\\\\\\"THREE.WebGLProgram: Unsupported toneMapping:\\\\\\\", toneMapping);\\n toneMappingName = \\\\\\\"Linear\\\\\\\";\\n }\\n return \\\\\\\"vec3 \\\\\\\" + functionName + \\\\\\\"( vec3 color ) { return \\\\\\\" + toneMappingName + \\\\\\\"ToneMapping( color ); }\\\\\\\";\\n}\\nfunction generateExtensions(parameters) {\\n const chunks = [\\n parameters.extensionDerivatives || parameters.envMapCubeUV || parameters.bumpMap || parameters.tangentSpaceNormalMap || parameters.clearcoatNormalMap || parameters.flatShading || parameters.shaderID === \\\\\\\"physical\\\\\\\" ? \\\\\\\"#extension GL_OES_standard_derivatives : enable\\\\\\\" : \\\\\\\"\\\\\\\",\\n (parameters.extensionFragDepth || parameters.logarithmicDepthBuffer) && parameters.rendererExtensionFragDepth ? \\\\\\\"#extension GL_EXT_frag_depth : enable\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.extensionDrawBuffers && parameters.rendererExtensionDrawBuffers ? \\\\\\\"#extension GL_EXT_draw_buffers : require\\\\\\\" : \\\\\\\"\\\\\\\",\\n (parameters.extensionShaderTextureLOD || parameters.envMap || parameters.transmission) && parameters.rendererExtensionShaderTextureLod ? \\\\\\\"#extension GL_EXT_shader_texture_lod : enable\\\\\\\" : \\\\\\\"\\\\\\\"\\n ];\\n return chunks.filter(filterEmptyLine).join(\\\\\\\"\\\\n\\\\\\\");\\n}\\nfunction generateDefines(defines) {\\n const chunks = [];\\n for (const name in defines) {\\n const value = defines[name];\\n if (value === false)\\n continue;\\n chunks.push(\\\\\\\"#define \\\\\\\" + name + \\\\\\\" \\\\\\\" + value);\\n }\\n return chunks.join(\\\\\\\"\\\\n\\\\\\\");\\n}\\nfunction fetchAttributeLocations(gl, program) {\\n const attributes = {};\\n const n = gl.getProgramParameter(program, gl.ACTIVE_ATTRIBUTES);\\n for (let i = 0; i < n; i++) {\\n const info = gl.getActiveAttrib(program, i);\\n const name = info.name;\\n let locationSize = 1;\\n if (info.type === gl.FLOAT_MAT2)\\n locationSize = 2;\\n if (info.type === gl.FLOAT_MAT3)\\n locationSize = 3;\\n if (info.type === gl.FLOAT_MAT4)\\n locationSize = 4;\\n attributes[name] = {\\n type: info.type,\\n location: gl.getAttribLocation(program, name),\\n locationSize\\n };\\n }\\n return attributes;\\n}\\nfunction filterEmptyLine(string) {\\n return string !== \\\\\\\"\\\\\\\";\\n}\\nfunction replaceLightNums(string, parameters) {\\n return string.replace(/NUM_DIR_LIGHTS/g, parameters.numDirLights).replace(/NUM_SPOT_LIGHTS/g, parameters.numSpotLights).replace(/NUM_RECT_AREA_LIGHTS/g, parameters.numRectAreaLights).replace(/NUM_POINT_LIGHTS/g, parameters.numPointLights).replace(/NUM_HEMI_LIGHTS/g, parameters.numHemiLights).replace(/NUM_DIR_LIGHT_SHADOWS/g, parameters.numDirLightShadows).replace(/NUM_SPOT_LIGHT_SHADOWS/g, parameters.numSpotLightShadows).replace(/NUM_POINT_LIGHT_SHADOWS/g, parameters.numPointLightShadows);\\n}\\nfunction replaceClippingPlaneNums(string, parameters) {\\n return string.replace(/NUM_CLIPPING_PLANES/g, parameters.numClippingPlanes).replace(/UNION_CLIPPING_PLANES/g, parameters.numClippingPlanes - parameters.numClipIntersection);\\n}\\nvar includePattern = /^[ \\\\t]*#include +<([\\\\w\\\\d./]+)>/gm;\\nfunction resolveIncludes(string) {\\n return string.replace(includePattern, includeReplacer);\\n}\\nfunction includeReplacer(match, include) {\\n const string = ShaderChunk[include];\\n if (string === void 0) {\\n throw new Error(\\\\\\\"Can not resolve #include <\\\\\\\" + include + \\\\\\\">\\\\\\\");\\n }\\n return resolveIncludes(string);\\n}\\nvar deprecatedUnrollLoopPattern = /#pragma unroll_loop[\\\\s]+?for \\\\( int i \\\\= (\\\\d+)\\\\; i < (\\\\d+)\\\\; i \\\\+\\\\+ \\\\) \\\\{([\\\\s\\\\S]+?)(?=\\\\})\\\\}/g;\\nvar unrollLoopPattern = /#pragma unroll_loop_start\\\\s+for\\\\s*\\\\(\\\\s*int\\\\s+i\\\\s*=\\\\s*(\\\\d+)\\\\s*;\\\\s*i\\\\s*<\\\\s*(\\\\d+)\\\\s*;\\\\s*i\\\\s*\\\\+\\\\+\\\\s*\\\\)\\\\s*{([\\\\s\\\\S]+?)}\\\\s+#pragma unroll_loop_end/g;\\nfunction unrollLoops(string) {\\n return string.replace(unrollLoopPattern, loopReplacer).replace(deprecatedUnrollLoopPattern, deprecatedLoopReplacer);\\n}\\nfunction deprecatedLoopReplacer(match, start, end, snippet) {\\n console.warn(\\\\\\\"WebGLProgram: #pragma unroll_loop shader syntax is deprecated. Please use #pragma unroll_loop_start syntax instead.\\\\\\\");\\n return loopReplacer(match, start, end, snippet);\\n}\\nfunction loopReplacer(match, start, end, snippet) {\\n let string = \\\\\\\"\\\\\\\";\\n for (let i = parseInt(start); i < parseInt(end); i++) {\\n string += snippet.replace(/\\\\[\\\\s*i\\\\s*\\\\]/g, \\\\\\\"[ \\\\\\\" + i + \\\\\\\" ]\\\\\\\").replace(/UNROLLED_LOOP_INDEX/g, i);\\n }\\n return string;\\n}\\nfunction generatePrecision(parameters) {\\n let precisionstring = \\\\\\\"precision \\\\\\\" + parameters.precision + \\\\\\\" float;\\\\nprecision \\\\\\\" + parameters.precision + \\\\\\\" int;\\\\\\\";\\n if (parameters.precision === \\\\\\\"highp\\\\\\\") {\\n precisionstring += \\\\\\\"\\\\n#define HIGH_PRECISION\\\\\\\";\\n } else if (parameters.precision === \\\\\\\"mediump\\\\\\\") {\\n precisionstring += \\\\\\\"\\\\n#define MEDIUM_PRECISION\\\\\\\";\\n } else if (parameters.precision === \\\\\\\"lowp\\\\\\\") {\\n precisionstring += \\\\\\\"\\\\n#define LOW_PRECISION\\\\\\\";\\n }\\n return precisionstring;\\n}\\nfunction generateShadowMapTypeDefine(parameters) {\\n let shadowMapTypeDefine = \\\\\\\"SHADOWMAP_TYPE_BASIC\\\\\\\";\\n if (parameters.shadowMapType === PCFShadowMap) {\\n shadowMapTypeDefine = \\\\\\\"SHADOWMAP_TYPE_PCF\\\\\\\";\\n } else if (parameters.shadowMapType === PCFSoftShadowMap) {\\n shadowMapTypeDefine = \\\\\\\"SHADOWMAP_TYPE_PCF_SOFT\\\\\\\";\\n } else if (parameters.shadowMapType === VSMShadowMap) {\\n shadowMapTypeDefine = \\\\\\\"SHADOWMAP_TYPE_VSM\\\\\\\";\\n }\\n return shadowMapTypeDefine;\\n}\\nfunction generateEnvMapTypeDefine(parameters) {\\n let envMapTypeDefine = \\\\\\\"ENVMAP_TYPE_CUBE\\\\\\\";\\n if (parameters.envMap) {\\n switch (parameters.envMapMode) {\\n case CubeReflectionMapping:\\n case CubeRefractionMapping:\\n envMapTypeDefine = \\\\\\\"ENVMAP_TYPE_CUBE\\\\\\\";\\n break;\\n case CubeUVReflectionMapping:\\n case CubeUVRefractionMapping:\\n envMapTypeDefine = \\\\\\\"ENVMAP_TYPE_CUBE_UV\\\\\\\";\\n break;\\n }\\n }\\n return envMapTypeDefine;\\n}\\nfunction generateEnvMapModeDefine(parameters) {\\n let envMapModeDefine = \\\\\\\"ENVMAP_MODE_REFLECTION\\\\\\\";\\n if (parameters.envMap) {\\n switch (parameters.envMapMode) {\\n case CubeRefractionMapping:\\n case CubeUVRefractionMapping:\\n envMapModeDefine = \\\\\\\"ENVMAP_MODE_REFRACTION\\\\\\\";\\n break;\\n }\\n }\\n return envMapModeDefine;\\n}\\nfunction generateEnvMapBlendingDefine(parameters) {\\n let envMapBlendingDefine = \\\\\\\"ENVMAP_BLENDING_NONE\\\\\\\";\\n if (parameters.envMap) {\\n switch (parameters.combine) {\\n case MultiplyOperation:\\n envMapBlendingDefine = \\\\\\\"ENVMAP_BLENDING_MULTIPLY\\\\\\\";\\n break;\\n case MixOperation:\\n envMapBlendingDefine = \\\\\\\"ENVMAP_BLENDING_MIX\\\\\\\";\\n break;\\n case AddOperation:\\n envMapBlendingDefine = \\\\\\\"ENVMAP_BLENDING_ADD\\\\\\\";\\n break;\\n }\\n }\\n return envMapBlendingDefine;\\n}\\nfunction WebGLProgram(renderer, cacheKey, parameters, bindingStates) {\\n const gl = renderer.getContext();\\n const defines = parameters.defines;\\n let vertexShader = parameters.vertexShader;\\n let fragmentShader = parameters.fragmentShader;\\n const shadowMapTypeDefine = generateShadowMapTypeDefine(parameters);\\n const envMapTypeDefine = generateEnvMapTypeDefine(parameters);\\n const envMapModeDefine = generateEnvMapModeDefine(parameters);\\n const envMapBlendingDefine = generateEnvMapBlendingDefine(parameters);\\n const gammaFactorDefine = renderer.gammaFactor > 0 ? renderer.gammaFactor : 1;\\n const customExtensions = parameters.isWebGL2 ? \\\\\\\"\\\\\\\" : generateExtensions(parameters);\\n const customDefines = generateDefines(defines);\\n const program = gl.createProgram();\\n let prefixVertex, prefixFragment;\\n let versionString = parameters.glslVersion ? \\\\\\\"#version \\\\\\\" + parameters.glslVersion + \\\\\\\"\\\\n\\\\\\\" : \\\\\\\"\\\\\\\";\\n if (parameters.isRawShaderMaterial) {\\n prefixVertex = [\\n customDefines\\n ].filter(filterEmptyLine).join(\\\\\\\"\\\\n\\\\\\\");\\n if (prefixVertex.length > 0) {\\n prefixVertex += \\\\\\\"\\\\n\\\\\\\";\\n }\\n prefixFragment = [\\n customExtensions,\\n customDefines\\n ].filter(filterEmptyLine).join(\\\\\\\"\\\\n\\\\\\\");\\n if (prefixFragment.length > 0) {\\n prefixFragment += \\\\\\\"\\\\n\\\\\\\";\\n }\\n } else {\\n prefixVertex = [\\n generatePrecision(parameters),\\n \\\\\\\"#define SHADER_NAME \\\\\\\" + parameters.shaderName,\\n customDefines,\\n parameters.instancing ? \\\\\\\"#define USE_INSTANCING\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.instancingColor ? \\\\\\\"#define USE_INSTANCING_COLOR\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.supportsVertexTextures ? \\\\\\\"#define VERTEX_TEXTURES\\\\\\\" : \\\\\\\"\\\\\\\",\\n \\\\\\\"#define GAMMA_FACTOR \\\\\\\" + gammaFactorDefine,\\n \\\\\\\"#define MAX_BONES \\\\\\\" + parameters.maxBones,\\n parameters.useFog && parameters.fog ? \\\\\\\"#define USE_FOG\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.useFog && parameters.fogExp2 ? \\\\\\\"#define FOG_EXP2\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.map ? \\\\\\\"#define USE_MAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.envMap ? \\\\\\\"#define USE_ENVMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.envMap ? \\\\\\\"#define \\\\\\\" + envMapModeDefine : \\\\\\\"\\\\\\\",\\n parameters.lightMap ? \\\\\\\"#define USE_LIGHTMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.aoMap ? \\\\\\\"#define USE_AOMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.emissiveMap ? \\\\\\\"#define USE_EMISSIVEMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.bumpMap ? \\\\\\\"#define USE_BUMPMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.normalMap ? \\\\\\\"#define USE_NORMALMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.normalMap && parameters.objectSpaceNormalMap ? \\\\\\\"#define OBJECTSPACE_NORMALMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.normalMap && parameters.tangentSpaceNormalMap ? \\\\\\\"#define TANGENTSPACE_NORMALMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.clearcoatMap ? \\\\\\\"#define USE_CLEARCOATMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.clearcoatRoughnessMap ? \\\\\\\"#define USE_CLEARCOAT_ROUGHNESSMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.clearcoatNormalMap ? \\\\\\\"#define USE_CLEARCOAT_NORMALMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.displacementMap && parameters.supportsVertexTextures ? \\\\\\\"#define USE_DISPLACEMENTMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.specularMap ? \\\\\\\"#define USE_SPECULARMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.specularIntensityMap ? \\\\\\\"#define USE_SPECULARINTENSITYMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.specularTintMap ? \\\\\\\"#define USE_SPECULARTINTMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.roughnessMap ? \\\\\\\"#define USE_ROUGHNESSMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.metalnessMap ? \\\\\\\"#define USE_METALNESSMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.alphaMap ? \\\\\\\"#define USE_ALPHAMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.transmission ? \\\\\\\"#define USE_TRANSMISSION\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.transmissionMap ? \\\\\\\"#define USE_TRANSMISSIONMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.thicknessMap ? \\\\\\\"#define USE_THICKNESSMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.vertexTangents ? \\\\\\\"#define USE_TANGENT\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.vertexColors ? \\\\\\\"#define USE_COLOR\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.vertexAlphas ? \\\\\\\"#define USE_COLOR_ALPHA\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.vertexUvs ? \\\\\\\"#define USE_UV\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.uvsVertexOnly ? \\\\\\\"#define UVS_VERTEX_ONLY\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.flatShading ? \\\\\\\"#define FLAT_SHADED\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.skinning ? \\\\\\\"#define USE_SKINNING\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.useVertexTexture ? \\\\\\\"#define BONE_TEXTURE\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.morphTargets ? \\\\\\\"#define USE_MORPHTARGETS\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.morphNormals && parameters.flatShading === false ? \\\\\\\"#define USE_MORPHNORMALS\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.morphTargets && parameters.isWebGL2 ? \\\\\\\"#define MORPHTARGETS_TEXTURE\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.morphTargets && parameters.isWebGL2 ? \\\\\\\"#define MORPHTARGETS_COUNT \\\\\\\" + parameters.morphTargetsCount : \\\\\\\"\\\\\\\",\\n parameters.doubleSided ? \\\\\\\"#define DOUBLE_SIDED\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.flipSided ? \\\\\\\"#define FLIP_SIDED\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.shadowMapEnabled ? \\\\\\\"#define USE_SHADOWMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.shadowMapEnabled ? \\\\\\\"#define \\\\\\\" + shadowMapTypeDefine : \\\\\\\"\\\\\\\",\\n parameters.sizeAttenuation ? \\\\\\\"#define USE_SIZEATTENUATION\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.logarithmicDepthBuffer ? \\\\\\\"#define USE_LOGDEPTHBUF\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.logarithmicDepthBuffer && parameters.rendererExtensionFragDepth ? \\\\\\\"#define USE_LOGDEPTHBUF_EXT\\\\\\\" : \\\\\\\"\\\\\\\",\\n \\\\\\\"uniform mat4 modelMatrix;\\\\\\\",\\n \\\\\\\"uniform mat4 modelViewMatrix;\\\\\\\",\\n \\\\\\\"uniform mat4 projectionMatrix;\\\\\\\",\\n \\\\\\\"uniform mat4 viewMatrix;\\\\\\\",\\n \\\\\\\"uniform mat3 normalMatrix;\\\\\\\",\\n \\\\\\\"uniform vec3 cameraPosition;\\\\\\\",\\n \\\\\\\"uniform bool isOrthographic;\\\\\\\",\\n \\\\\\\"#ifdef USE_INSTANCING\\\\\\\",\\n \\\\\\\"\\tattribute mat4 instanceMatrix;\\\\\\\",\\n \\\\\\\"#endif\\\\\\\",\\n \\\\\\\"#ifdef USE_INSTANCING_COLOR\\\\\\\",\\n \\\\\\\"\\tattribute vec3 instanceColor;\\\\\\\",\\n \\\\\\\"#endif\\\\\\\",\\n \\\\\\\"attribute vec3 position;\\\\\\\",\\n \\\\\\\"attribute vec3 normal;\\\\\\\",\\n \\\\\\\"attribute vec2 uv;\\\\\\\",\\n \\\\\\\"#ifdef USE_TANGENT\\\\\\\",\\n \\\\\\\"\\tattribute vec4 tangent;\\\\\\\",\\n \\\\\\\"#endif\\\\\\\",\\n \\\\\\\"#if defined( USE_COLOR_ALPHA )\\\\\\\",\\n \\\\\\\"\\tattribute vec4 color;\\\\\\\",\\n \\\\\\\"#elif defined( USE_COLOR )\\\\\\\",\\n \\\\\\\"\\tattribute vec3 color;\\\\\\\",\\n \\\\\\\"#endif\\\\\\\",\\n \\\\\\\"#if ( defined( USE_MORPHTARGETS ) && ! defined( MORPHTARGETS_TEXTURE ) )\\\\\\\",\\n \\\\\\\"\\tattribute vec3 morphTarget0;\\\\\\\",\\n \\\\\\\"\\tattribute vec3 morphTarget1;\\\\\\\",\\n \\\\\\\"\\tattribute vec3 morphTarget2;\\\\\\\",\\n \\\\\\\"\\tattribute vec3 morphTarget3;\\\\\\\",\\n \\\\\\\"\\t#ifdef USE_MORPHNORMALS\\\\\\\",\\n \\\\\\\"\\t\\tattribute vec3 morphNormal0;\\\\\\\",\\n \\\\\\\"\\t\\tattribute vec3 morphNormal1;\\\\\\\",\\n \\\\\\\"\\t\\tattribute vec3 morphNormal2;\\\\\\\",\\n \\\\\\\"\\t\\tattribute vec3 morphNormal3;\\\\\\\",\\n \\\\\\\"\\t#else\\\\\\\",\\n \\\\\\\"\\t\\tattribute vec3 morphTarget4;\\\\\\\",\\n \\\\\\\"\\t\\tattribute vec3 morphTarget5;\\\\\\\",\\n \\\\\\\"\\t\\tattribute vec3 morphTarget6;\\\\\\\",\\n \\\\\\\"\\t\\tattribute vec3 morphTarget7;\\\\\\\",\\n \\\\\\\"\\t#endif\\\\\\\",\\n \\\\\\\"#endif\\\\\\\",\\n \\\\\\\"#ifdef USE_SKINNING\\\\\\\",\\n \\\\\\\"\\tattribute vec4 skinIndex;\\\\\\\",\\n \\\\\\\"\\tattribute vec4 skinWeight;\\\\\\\",\\n \\\\\\\"#endif\\\\\\\",\\n \\\\\\\"\\\\n\\\\\\\"\\n ].filter(filterEmptyLine).join(\\\\\\\"\\\\n\\\\\\\");\\n prefixFragment = [\\n customExtensions,\\n generatePrecision(parameters),\\n \\\\\\\"#define SHADER_NAME \\\\\\\" + parameters.shaderName,\\n customDefines,\\n \\\\\\\"#define GAMMA_FACTOR \\\\\\\" + gammaFactorDefine,\\n parameters.useFog && parameters.fog ? \\\\\\\"#define USE_FOG\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.useFog && parameters.fogExp2 ? \\\\\\\"#define FOG_EXP2\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.map ? \\\\\\\"#define USE_MAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.matcap ? \\\\\\\"#define USE_MATCAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.envMap ? \\\\\\\"#define USE_ENVMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.envMap ? \\\\\\\"#define \\\\\\\" + envMapTypeDefine : \\\\\\\"\\\\\\\",\\n parameters.envMap ? \\\\\\\"#define \\\\\\\" + envMapModeDefine : \\\\\\\"\\\\\\\",\\n parameters.envMap ? \\\\\\\"#define \\\\\\\" + envMapBlendingDefine : \\\\\\\"\\\\\\\",\\n parameters.lightMap ? \\\\\\\"#define USE_LIGHTMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.aoMap ? \\\\\\\"#define USE_AOMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.emissiveMap ? \\\\\\\"#define USE_EMISSIVEMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.bumpMap ? \\\\\\\"#define USE_BUMPMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.normalMap ? \\\\\\\"#define USE_NORMALMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.normalMap && parameters.objectSpaceNormalMap ? \\\\\\\"#define OBJECTSPACE_NORMALMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.normalMap && parameters.tangentSpaceNormalMap ? \\\\\\\"#define TANGENTSPACE_NORMALMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.clearcoat ? \\\\\\\"#define USE_CLEARCOAT\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.clearcoatMap ? \\\\\\\"#define USE_CLEARCOATMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.clearcoatRoughnessMap ? \\\\\\\"#define USE_CLEARCOAT_ROUGHNESSMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.clearcoatNormalMap ? \\\\\\\"#define USE_CLEARCOAT_NORMALMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.specularMap ? \\\\\\\"#define USE_SPECULARMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.specularIntensityMap ? \\\\\\\"#define USE_SPECULARINTENSITYMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.specularTintMap ? \\\\\\\"#define USE_SPECULARTINTMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.roughnessMap ? \\\\\\\"#define USE_ROUGHNESSMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.metalnessMap ? \\\\\\\"#define USE_METALNESSMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.alphaMap ? \\\\\\\"#define USE_ALPHAMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.alphaTest ? \\\\\\\"#define USE_ALPHATEST\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.sheen ? \\\\\\\"#define USE_SHEEN\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.transmission ? \\\\\\\"#define USE_TRANSMISSION\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.transmissionMap ? \\\\\\\"#define USE_TRANSMISSIONMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.thicknessMap ? \\\\\\\"#define USE_THICKNESSMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.vertexTangents ? \\\\\\\"#define USE_TANGENT\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.vertexColors || parameters.instancingColor ? \\\\\\\"#define USE_COLOR\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.vertexAlphas ? \\\\\\\"#define USE_COLOR_ALPHA\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.vertexUvs ? \\\\\\\"#define USE_UV\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.uvsVertexOnly ? \\\\\\\"#define UVS_VERTEX_ONLY\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.gradientMap ? \\\\\\\"#define USE_GRADIENTMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.flatShading ? \\\\\\\"#define FLAT_SHADED\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.doubleSided ? \\\\\\\"#define DOUBLE_SIDED\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.flipSided ? \\\\\\\"#define FLIP_SIDED\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.shadowMapEnabled ? \\\\\\\"#define USE_SHADOWMAP\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.shadowMapEnabled ? \\\\\\\"#define \\\\\\\" + shadowMapTypeDefine : \\\\\\\"\\\\\\\",\\n parameters.premultipliedAlpha ? \\\\\\\"#define PREMULTIPLIED_ALPHA\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.physicallyCorrectLights ? \\\\\\\"#define PHYSICALLY_CORRECT_LIGHTS\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.logarithmicDepthBuffer ? \\\\\\\"#define USE_LOGDEPTHBUF\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.logarithmicDepthBuffer && parameters.rendererExtensionFragDepth ? \\\\\\\"#define USE_LOGDEPTHBUF_EXT\\\\\\\" : \\\\\\\"\\\\\\\",\\n (parameters.extensionShaderTextureLOD || parameters.envMap) && parameters.rendererExtensionShaderTextureLod ? \\\\\\\"#define TEXTURE_LOD_EXT\\\\\\\" : \\\\\\\"\\\\\\\",\\n \\\\\\\"uniform mat4 viewMatrix;\\\\\\\",\\n \\\\\\\"uniform vec3 cameraPosition;\\\\\\\",\\n \\\\\\\"uniform bool isOrthographic;\\\\\\\",\\n parameters.toneMapping !== NoToneMapping ? \\\\\\\"#define TONE_MAPPING\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.toneMapping !== NoToneMapping ? ShaderChunk[\\\\\\\"tonemapping_pars_fragment\\\\\\\"] : \\\\\\\"\\\\\\\",\\n parameters.toneMapping !== NoToneMapping ? getToneMappingFunction(\\\\\\\"toneMapping\\\\\\\", parameters.toneMapping) : \\\\\\\"\\\\\\\",\\n parameters.dithering ? \\\\\\\"#define DITHERING\\\\\\\" : \\\\\\\"\\\\\\\",\\n parameters.format === RGBFormat ? \\\\\\\"#define OPAQUE\\\\\\\" : \\\\\\\"\\\\\\\",\\n ShaderChunk[\\\\\\\"encodings_pars_fragment\\\\\\\"],\\n parameters.map ? getTexelDecodingFunction(\\\\\\\"mapTexelToLinear\\\\\\\", parameters.mapEncoding) : \\\\\\\"\\\\\\\",\\n parameters.matcap ? getTexelDecodingFunction(\\\\\\\"matcapTexelToLinear\\\\\\\", parameters.matcapEncoding) : \\\\\\\"\\\\\\\",\\n parameters.envMap ? getTexelDecodingFunction(\\\\\\\"envMapTexelToLinear\\\\\\\", parameters.envMapEncoding) : \\\\\\\"\\\\\\\",\\n parameters.emissiveMap ? getTexelDecodingFunction(\\\\\\\"emissiveMapTexelToLinear\\\\\\\", parameters.emissiveMapEncoding) : \\\\\\\"\\\\\\\",\\n parameters.specularTintMap ? getTexelDecodingFunction(\\\\\\\"specularTintMapTexelToLinear\\\\\\\", parameters.specularTintMapEncoding) : \\\\\\\"\\\\\\\",\\n parameters.lightMap ? getTexelDecodingFunction(\\\\\\\"lightMapTexelToLinear\\\\\\\", parameters.lightMapEncoding) : \\\\\\\"\\\\\\\",\\n getTexelEncodingFunction(\\\\\\\"linearToOutputTexel\\\\\\\", parameters.outputEncoding),\\n parameters.depthPacking ? \\\\\\\"#define DEPTH_PACKING \\\\\\\" + parameters.depthPacking : \\\\\\\"\\\\\\\",\\n \\\\\\\"\\\\n\\\\\\\"\\n ].filter(filterEmptyLine).join(\\\\\\\"\\\\n\\\\\\\");\\n }\\n vertexShader = resolveIncludes(vertexShader);\\n vertexShader = replaceLightNums(vertexShader, parameters);\\n vertexShader = replaceClippingPlaneNums(vertexShader, parameters);\\n fragmentShader = resolveIncludes(fragmentShader);\\n fragmentShader = replaceLightNums(fragmentShader, parameters);\\n fragmentShader = replaceClippingPlaneNums(fragmentShader, parameters);\\n vertexShader = unrollLoops(vertexShader);\\n fragmentShader = unrollLoops(fragmentShader);\\n if (parameters.isWebGL2 && parameters.isRawShaderMaterial !== true) {\\n versionString = \\\\\\\"#version 300 es\\\\n\\\\\\\";\\n prefixVertex = [\\n \\\\\\\"precision mediump sampler2DArray;\\\\\\\",\\n \\\\\\\"#define attribute in\\\\\\\",\\n \\\\\\\"#define varying out\\\\\\\",\\n \\\\\\\"#define texture2D texture\\\\\\\"\\n ].join(\\\\\\\"\\\\n\\\\\\\") + \\\\\\\"\\\\n\\\\\\\" + prefixVertex;\\n prefixFragment = [\\n \\\\\\\"#define varying in\\\\\\\",\\n parameters.glslVersion === GLSL3 ? \\\\\\\"\\\\\\\" : \\\\\\\"out highp vec4 pc_fragColor;\\\\\\\",\\n parameters.glslVersion === GLSL3 ? \\\\\\\"\\\\\\\" : \\\\\\\"#define gl_FragColor pc_fragColor\\\\\\\",\\n \\\\\\\"#define gl_FragDepthEXT gl_FragDepth\\\\\\\",\\n \\\\\\\"#define texture2D texture\\\\\\\",\\n \\\\\\\"#define textureCube texture\\\\\\\",\\n \\\\\\\"#define texture2DProj textureProj\\\\\\\",\\n \\\\\\\"#define texture2DLodEXT textureLod\\\\\\\",\\n \\\\\\\"#define texture2DProjLodEXT textureProjLod\\\\\\\",\\n \\\\\\\"#define textureCubeLodEXT textureLod\\\\\\\",\\n \\\\\\\"#define texture2DGradEXT textureGrad\\\\\\\",\\n \\\\\\\"#define texture2DProjGradEXT textureProjGrad\\\\\\\",\\n \\\\\\\"#define textureCubeGradEXT textureGrad\\\\\\\"\\n ].join(\\\\\\\"\\\\n\\\\\\\") + \\\\\\\"\\\\n\\\\\\\" + prefixFragment;\\n }\\n const vertexGlsl = versionString + prefixVertex + vertexShader;\\n const fragmentGlsl = versionString + prefixFragment + fragmentShader;\\n const glVertexShader = WebGLShader(gl, gl.VERTEX_SHADER, vertexGlsl);\\n const glFragmentShader = WebGLShader(gl, gl.FRAGMENT_SHADER, fragmentGlsl);\\n gl.attachShader(program, glVertexShader);\\n gl.attachShader(program, glFragmentShader);\\n if (parameters.index0AttributeName !== void 0) {\\n gl.bindAttribLocation(program, 0, parameters.index0AttributeName);\\n } else if (parameters.morphTargets === true) {\\n gl.bindAttribLocation(program, 0, \\\\\\\"position\\\\\\\");\\n }\\n gl.linkProgram(program);\\n if (renderer.debug.checkShaderErrors) {\\n const programLog = gl.getProgramInfoLog(program).trim();\\n const vertexLog = gl.getShaderInfoLog(glVertexShader).trim();\\n const fragmentLog = gl.getShaderInfoLog(glFragmentShader).trim();\\n let runnable = true;\\n let haveDiagnostics = true;\\n if (gl.getProgramParameter(program, gl.LINK_STATUS) === false) {\\n runnable = false;\\n const vertexErrors = getShaderErrors(gl, glVertexShader, \\\\\\\"vertex\\\\\\\");\\n const fragmentErrors = getShaderErrors(gl, glFragmentShader, \\\\\\\"fragment\\\\\\\");\\n console.error(\\\\\\\"THREE.WebGLProgram: Shader Error \\\\\\\" + gl.getError() + \\\\\\\" - VALIDATE_STATUS \\\\\\\" + gl.getProgramParameter(program, gl.VALIDATE_STATUS) + \\\\\\\"\\\\n\\\\nProgram Info Log: \\\\\\\" + programLog + \\\\\\\"\\\\n\\\\\\\" + vertexErrors + \\\\\\\"\\\\n\\\\\\\" + fragmentErrors);\\n } else if (programLog !== \\\\\\\"\\\\\\\") {\\n console.warn(\\\\\\\"THREE.WebGLProgram: Program Info Log:\\\\\\\", programLog);\\n } else if (vertexLog === \\\\\\\"\\\\\\\" || fragmentLog === \\\\\\\"\\\\\\\") {\\n haveDiagnostics = false;\\n }\\n if (haveDiagnostics) {\\n this.diagnostics = {\\n runnable,\\n programLog,\\n vertexShader: {\\n log: vertexLog,\\n prefix: prefixVertex\\n },\\n fragmentShader: {\\n log: fragmentLog,\\n prefix: prefixFragment\\n }\\n };\\n }\\n }\\n gl.deleteShader(glVertexShader);\\n gl.deleteShader(glFragmentShader);\\n let cachedUniforms;\\n this.getUniforms = function() {\\n if (cachedUniforms === void 0) {\\n cachedUniforms = new WebGLUniforms(gl, program);\\n }\\n return cachedUniforms;\\n };\\n let cachedAttributes;\\n this.getAttributes = function() {\\n if (cachedAttributes === void 0) {\\n cachedAttributes = fetchAttributeLocations(gl, program);\\n }\\n return cachedAttributes;\\n };\\n this.destroy = function() {\\n bindingStates.releaseStatesOfProgram(this);\\n gl.deleteProgram(program);\\n this.program = void 0;\\n };\\n this.name = parameters.shaderName;\\n this.id = programIdCount++;\\n this.cacheKey = cacheKey;\\n this.usedTimes = 1;\\n this.program = program;\\n this.vertexShader = glVertexShader;\\n this.fragmentShader = glFragmentShader;\\n return this;\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLPrograms.js\\nfunction WebGLPrograms(renderer, cubemaps, cubeuvmaps, extensions, capabilities, bindingStates, clipping) {\\n const programs = [];\\n const isWebGL2 = capabilities.isWebGL2;\\n const logarithmicDepthBuffer = capabilities.logarithmicDepthBuffer;\\n const floatVertexTextures = capabilities.floatVertexTextures;\\n const maxVertexUniforms = capabilities.maxVertexUniforms;\\n const vertexTextures = capabilities.vertexTextures;\\n let precision = capabilities.precision;\\n const shaderIDs = {\\n MeshDepthMaterial: \\\\\\\"depth\\\\\\\",\\n MeshDistanceMaterial: \\\\\\\"distanceRGBA\\\\\\\",\\n MeshNormalMaterial: \\\\\\\"normal\\\\\\\",\\n MeshBasicMaterial: \\\\\\\"basic\\\\\\\",\\n MeshLambertMaterial: \\\\\\\"lambert\\\\\\\",\\n MeshPhongMaterial: \\\\\\\"phong\\\\\\\",\\n MeshToonMaterial: \\\\\\\"toon\\\\\\\",\\n MeshStandardMaterial: \\\\\\\"physical\\\\\\\",\\n MeshPhysicalMaterial: \\\\\\\"physical\\\\\\\",\\n MeshMatcapMaterial: \\\\\\\"matcap\\\\\\\",\\n LineBasicMaterial: \\\\\\\"basic\\\\\\\",\\n LineDashedMaterial: \\\\\\\"dashed\\\\\\\",\\n PointsMaterial: \\\\\\\"points\\\\\\\",\\n ShadowMaterial: \\\\\\\"shadow\\\\\\\",\\n SpriteMaterial: \\\\\\\"sprite\\\\\\\"\\n };\\n const parameterNames = [\\n \\\\\\\"precision\\\\\\\",\\n \\\\\\\"isWebGL2\\\\\\\",\\n \\\\\\\"supportsVertexTextures\\\\\\\",\\n \\\\\\\"outputEncoding\\\\\\\",\\n \\\\\\\"instancing\\\\\\\",\\n \\\\\\\"instancingColor\\\\\\\",\\n \\\\\\\"map\\\\\\\",\\n \\\\\\\"mapEncoding\\\\\\\",\\n \\\\\\\"matcap\\\\\\\",\\n \\\\\\\"matcapEncoding\\\\\\\",\\n \\\\\\\"envMap\\\\\\\",\\n \\\\\\\"envMapMode\\\\\\\",\\n \\\\\\\"envMapEncoding\\\\\\\",\\n \\\\\\\"envMapCubeUV\\\\\\\",\\n \\\\\\\"lightMap\\\\\\\",\\n \\\\\\\"lightMapEncoding\\\\\\\",\\n \\\\\\\"aoMap\\\\\\\",\\n \\\\\\\"emissiveMap\\\\\\\",\\n \\\\\\\"emissiveMapEncoding\\\\\\\",\\n \\\\\\\"bumpMap\\\\\\\",\\n \\\\\\\"normalMap\\\\\\\",\\n \\\\\\\"objectSpaceNormalMap\\\\\\\",\\n \\\\\\\"tangentSpaceNormalMap\\\\\\\",\\n \\\\\\\"clearcoat\\\\\\\",\\n \\\\\\\"clearcoatMap\\\\\\\",\\n \\\\\\\"clearcoatRoughnessMap\\\\\\\",\\n \\\\\\\"clearcoatNormalMap\\\\\\\",\\n \\\\\\\"displacementMap\\\\\\\",\\n \\\\\\\"specularMap\\\\\\\",\\n \\\\\\\"specularIntensityMap\\\\\\\",\\n \\\\\\\"specularTintMap\\\\\\\",\\n \\\\\\\"specularTintMapEncoding\\\\\\\",\\n \\\\\\\"roughnessMap\\\\\\\",\\n \\\\\\\"metalnessMap\\\\\\\",\\n \\\\\\\"gradientMap\\\\\\\",\\n \\\\\\\"alphaMap\\\\\\\",\\n \\\\\\\"alphaTest\\\\\\\",\\n \\\\\\\"combine\\\\\\\",\\n \\\\\\\"vertexColors\\\\\\\",\\n \\\\\\\"vertexAlphas\\\\\\\",\\n \\\\\\\"vertexTangents\\\\\\\",\\n \\\\\\\"vertexUvs\\\\\\\",\\n \\\\\\\"uvsVertexOnly\\\\\\\",\\n \\\\\\\"fog\\\\\\\",\\n \\\\\\\"useFog\\\\\\\",\\n \\\\\\\"fogExp2\\\\\\\",\\n \\\\\\\"flatShading\\\\\\\",\\n \\\\\\\"sizeAttenuation\\\\\\\",\\n \\\\\\\"logarithmicDepthBuffer\\\\\\\",\\n \\\\\\\"skinning\\\\\\\",\\n \\\\\\\"maxBones\\\\\\\",\\n \\\\\\\"useVertexTexture\\\\\\\",\\n \\\\\\\"morphTargets\\\\\\\",\\n \\\\\\\"morphNormals\\\\\\\",\\n \\\\\\\"morphTargetsCount\\\\\\\",\\n \\\\\\\"premultipliedAlpha\\\\\\\",\\n \\\\\\\"numDirLights\\\\\\\",\\n \\\\\\\"numPointLights\\\\\\\",\\n \\\\\\\"numSpotLights\\\\\\\",\\n \\\\\\\"numHemiLights\\\\\\\",\\n \\\\\\\"numRectAreaLights\\\\\\\",\\n \\\\\\\"numDirLightShadows\\\\\\\",\\n \\\\\\\"numPointLightShadows\\\\\\\",\\n \\\\\\\"numSpotLightShadows\\\\\\\",\\n \\\\\\\"shadowMapEnabled\\\\\\\",\\n \\\\\\\"shadowMapType\\\\\\\",\\n \\\\\\\"toneMapping\\\\\\\",\\n \\\\\\\"physicallyCorrectLights\\\\\\\",\\n \\\\\\\"doubleSided\\\\\\\",\\n \\\\\\\"flipSided\\\\\\\",\\n \\\\\\\"numClippingPlanes\\\\\\\",\\n \\\\\\\"numClipIntersection\\\\\\\",\\n \\\\\\\"depthPacking\\\\\\\",\\n \\\\\\\"dithering\\\\\\\",\\n \\\\\\\"format\\\\\\\",\\n \\\\\\\"sheen\\\\\\\",\\n \\\\\\\"transmission\\\\\\\",\\n \\\\\\\"transmissionMap\\\\\\\",\\n \\\\\\\"thicknessMap\\\\\\\"\\n ];\\n function getMaxBones(object) {\\n const skeleton = object.skeleton;\\n const bones = skeleton.bones;\\n if (floatVertexTextures) {\\n return 1024;\\n } else {\\n const nVertexUniforms = maxVertexUniforms;\\n const nVertexMatrices = Math.floor((nVertexUniforms - 20) / 4);\\n const maxBones = Math.min(nVertexMatrices, bones.length);\\n if (maxBones < bones.length) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Skeleton has \\\\\\\" + bones.length + \\\\\\\" bones. This GPU supports \\\\\\\" + maxBones + \\\\\\\".\\\\\\\");\\n return 0;\\n }\\n return maxBones;\\n }\\n }\\n function getTextureEncodingFromMap(map) {\\n let encoding;\\n if (map && map.isTexture) {\\n encoding = map.encoding;\\n } else if (map && map.isWebGLRenderTarget) {\\n console.warn(\\\\\\\"THREE.WebGLPrograms.getTextureEncodingFromMap: don't use render targets as textures. Use their .texture property instead.\\\\\\\");\\n encoding = map.texture.encoding;\\n } else {\\n encoding = LinearEncoding;\\n }\\n if (isWebGL2 && map && map.isTexture && map.format === RGBAFormat && map.type === UnsignedByteType && map.encoding === sRGBEncoding) {\\n encoding = LinearEncoding;\\n }\\n return encoding;\\n }\\n function getParameters(material, lights, shadows, scene, object) {\\n const fog = scene.fog;\\n const environment = material.isMeshStandardMaterial ? scene.environment : null;\\n const envMap = (material.isMeshStandardMaterial ? cubeuvmaps : cubemaps).get(material.envMap || environment);\\n const shaderID = shaderIDs[material.type];\\n const maxBones = object.isSkinnedMesh ? getMaxBones(object) : 0;\\n if (material.precision !== null) {\\n precision = capabilities.getMaxPrecision(material.precision);\\n if (precision !== material.precision) {\\n console.warn(\\\\\\\"THREE.WebGLProgram.getParameters:\\\\\\\", material.precision, \\\\\\\"not supported, using\\\\\\\", precision, \\\\\\\"instead.\\\\\\\");\\n }\\n }\\n let vertexShader, fragmentShader;\\n if (shaderID) {\\n const shader = ShaderLib[shaderID];\\n vertexShader = shader.vertexShader;\\n fragmentShader = shader.fragmentShader;\\n } else {\\n vertexShader = material.vertexShader;\\n fragmentShader = material.fragmentShader;\\n }\\n const currentRenderTarget = renderer.getRenderTarget();\\n const useAlphaTest = material.alphaTest > 0;\\n const useClearcoat = material.clearcoat > 0;\\n const parameters = {\\n isWebGL2,\\n shaderID,\\n shaderName: material.type,\\n vertexShader,\\n fragmentShader,\\n defines: material.defines,\\n isRawShaderMaterial: material.isRawShaderMaterial === true,\\n glslVersion: material.glslVersion,\\n precision,\\n instancing: object.isInstancedMesh === true,\\n instancingColor: object.isInstancedMesh === true && object.instanceColor !== null,\\n supportsVertexTextures: vertexTextures,\\n outputEncoding: currentRenderTarget !== null ? getTextureEncodingFromMap(currentRenderTarget.texture) : renderer.outputEncoding,\\n map: !!material.map,\\n mapEncoding: getTextureEncodingFromMap(material.map),\\n matcap: !!material.matcap,\\n matcapEncoding: getTextureEncodingFromMap(material.matcap),\\n envMap: !!envMap,\\n envMapMode: envMap && envMap.mapping,\\n envMapEncoding: getTextureEncodingFromMap(envMap),\\n envMapCubeUV: !!envMap && (envMap.mapping === CubeUVReflectionMapping || envMap.mapping === CubeUVRefractionMapping),\\n lightMap: !!material.lightMap,\\n lightMapEncoding: getTextureEncodingFromMap(material.lightMap),\\n aoMap: !!material.aoMap,\\n emissiveMap: !!material.emissiveMap,\\n emissiveMapEncoding: getTextureEncodingFromMap(material.emissiveMap),\\n bumpMap: !!material.bumpMap,\\n normalMap: !!material.normalMap,\\n objectSpaceNormalMap: material.normalMapType === ObjectSpaceNormalMap,\\n tangentSpaceNormalMap: material.normalMapType === TangentSpaceNormalMap,\\n clearcoat: useClearcoat,\\n clearcoatMap: useClearcoat && !!material.clearcoatMap,\\n clearcoatRoughnessMap: useClearcoat && !!material.clearcoatRoughnessMap,\\n clearcoatNormalMap: useClearcoat && !!material.clearcoatNormalMap,\\n displacementMap: !!material.displacementMap,\\n roughnessMap: !!material.roughnessMap,\\n metalnessMap: !!material.metalnessMap,\\n specularMap: !!material.specularMap,\\n specularIntensityMap: !!material.specularIntensityMap,\\n specularTintMap: !!material.specularTintMap,\\n specularTintMapEncoding: getTextureEncodingFromMap(material.specularTintMap),\\n alphaMap: !!material.alphaMap,\\n alphaTest: useAlphaTest,\\n gradientMap: !!material.gradientMap,\\n sheen: material.sheen > 0,\\n transmission: material.transmission > 0,\\n transmissionMap: !!material.transmissionMap,\\n thicknessMap: !!material.thicknessMap,\\n combine: material.combine,\\n vertexTangents: !!material.normalMap && !!object.geometry && !!object.geometry.attributes.tangent,\\n vertexColors: material.vertexColors,\\n vertexAlphas: material.vertexColors === true && !!object.geometry && !!object.geometry.attributes.color && object.geometry.attributes.color.itemSize === 4,\\n vertexUvs: !!material.map || !!material.bumpMap || !!material.normalMap || !!material.specularMap || !!material.alphaMap || !!material.emissiveMap || !!material.roughnessMap || !!material.metalnessMap || !!material.clearcoatMap || !!material.clearcoatRoughnessMap || !!material.clearcoatNormalMap || !!material.displacementMap || !!material.transmissionMap || !!material.thicknessMap || !!material.specularIntensityMap || !!material.specularTintMap,\\n uvsVertexOnly: !(!!material.map || !!material.bumpMap || !!material.normalMap || !!material.specularMap || !!material.alphaMap || !!material.emissiveMap || !!material.roughnessMap || !!material.metalnessMap || !!material.clearcoatNormalMap || material.transmission > 0 || !!material.transmissionMap || !!material.thicknessMap || !!material.specularIntensityMap || !!material.specularTintMap) && !!material.displacementMap,\\n fog: !!fog,\\n useFog: material.fog,\\n fogExp2: fog && fog.isFogExp2,\\n flatShading: !!material.flatShading,\\n sizeAttenuation: material.sizeAttenuation,\\n logarithmicDepthBuffer,\\n skinning: object.isSkinnedMesh === true && maxBones > 0,\\n maxBones,\\n useVertexTexture: floatVertexTextures,\\n morphTargets: !!object.geometry && !!object.geometry.morphAttributes.position,\\n morphNormals: !!object.geometry && !!object.geometry.morphAttributes.normal,\\n morphTargetsCount: !!object.geometry && !!object.geometry.morphAttributes.position ? object.geometry.morphAttributes.position.length : 0,\\n numDirLights: lights.directional.length,\\n numPointLights: lights.point.length,\\n numSpotLights: lights.spot.length,\\n numRectAreaLights: lights.rectArea.length,\\n numHemiLights: lights.hemi.length,\\n numDirLightShadows: lights.directionalShadowMap.length,\\n numPointLightShadows: lights.pointShadowMap.length,\\n numSpotLightShadows: lights.spotShadowMap.length,\\n numClippingPlanes: clipping.numPlanes,\\n numClipIntersection: clipping.numIntersection,\\n format: material.format,\\n dithering: material.dithering,\\n shadowMapEnabled: renderer.shadowMap.enabled && shadows.length > 0,\\n shadowMapType: renderer.shadowMap.type,\\n toneMapping: material.toneMapped ? renderer.toneMapping : NoToneMapping,\\n physicallyCorrectLights: renderer.physicallyCorrectLights,\\n premultipliedAlpha: material.premultipliedAlpha,\\n doubleSided: material.side === DoubleSide,\\n flipSided: material.side === BackSide,\\n depthPacking: material.depthPacking !== void 0 ? material.depthPacking : false,\\n index0AttributeName: material.index0AttributeName,\\n extensionDerivatives: material.extensions && material.extensions.derivatives,\\n extensionFragDepth: material.extensions && material.extensions.fragDepth,\\n extensionDrawBuffers: material.extensions && material.extensions.drawBuffers,\\n extensionShaderTextureLOD: material.extensions && material.extensions.shaderTextureLOD,\\n rendererExtensionFragDepth: isWebGL2 || extensions.has(\\\\\\\"EXT_frag_depth\\\\\\\"),\\n rendererExtensionDrawBuffers: isWebGL2 || extensions.has(\\\\\\\"WEBGL_draw_buffers\\\\\\\"),\\n rendererExtensionShaderTextureLod: isWebGL2 || extensions.has(\\\\\\\"EXT_shader_texture_lod\\\\\\\"),\\n customProgramCacheKey: material.customProgramCacheKey()\\n };\\n return parameters;\\n }\\n function getProgramCacheKey(parameters) {\\n const array = [];\\n if (parameters.shaderID) {\\n array.push(parameters.shaderID);\\n } else {\\n array.push(parameters.fragmentShader);\\n array.push(parameters.vertexShader);\\n }\\n if (parameters.defines !== void 0) {\\n for (const name in parameters.defines) {\\n array.push(name);\\n array.push(parameters.defines[name]);\\n }\\n }\\n if (parameters.isRawShaderMaterial === false) {\\n for (let i = 0; i < parameterNames.length; i++) {\\n array.push(parameters[parameterNames[i]]);\\n }\\n array.push(renderer.outputEncoding);\\n array.push(renderer.gammaFactor);\\n }\\n array.push(parameters.customProgramCacheKey);\\n return array.join();\\n }\\n function getUniforms(material) {\\n const shaderID = shaderIDs[material.type];\\n let uniforms;\\n if (shaderID) {\\n const shader = ShaderLib[shaderID];\\n uniforms = UniformsUtils.clone(shader.uniforms);\\n } else {\\n uniforms = material.uniforms;\\n }\\n return uniforms;\\n }\\n function acquireProgram(parameters, cacheKey) {\\n let program;\\n for (let p = 0, pl = programs.length; p < pl; p++) {\\n const preexistingProgram = programs[p];\\n if (preexistingProgram.cacheKey === cacheKey) {\\n program = preexistingProgram;\\n ++program.usedTimes;\\n break;\\n }\\n }\\n if (program === void 0) {\\n program = new WebGLProgram(renderer, cacheKey, parameters, bindingStates);\\n programs.push(program);\\n }\\n return program;\\n }\\n function releaseProgram(program) {\\n if (--program.usedTimes === 0) {\\n const i = programs.indexOf(program);\\n programs[i] = programs[programs.length - 1];\\n programs.pop();\\n program.destroy();\\n }\\n }\\n return {\\n getParameters,\\n getProgramCacheKey,\\n getUniforms,\\n acquireProgram,\\n releaseProgram,\\n programs\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLProperties.js\\nfunction WebGLProperties() {\\n let properties = new WeakMap();\\n function get(object) {\\n let map = properties.get(object);\\n if (map === void 0) {\\n map = {};\\n properties.set(object, map);\\n }\\n return map;\\n }\\n function remove(object) {\\n properties.delete(object);\\n }\\n function update(object, key, value) {\\n properties.get(object)[key] = value;\\n }\\n function dispose() {\\n properties = new WeakMap();\\n }\\n return {\\n get,\\n remove,\\n update,\\n dispose\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLRenderLists.js\\nfunction painterSortStable(a, b) {\\n if (a.groupOrder !== b.groupOrder) {\\n return a.groupOrder - b.groupOrder;\\n } else if (a.renderOrder !== b.renderOrder) {\\n return a.renderOrder - b.renderOrder;\\n } else if (a.program !== b.program) {\\n return a.program.id - b.program.id;\\n } else if (a.material.id !== b.material.id) {\\n return a.material.id - b.material.id;\\n } else if (a.z !== b.z) {\\n return a.z - b.z;\\n } else {\\n return a.id - b.id;\\n }\\n}\\nfunction reversePainterSortStable(a, b) {\\n if (a.groupOrder !== b.groupOrder) {\\n return a.groupOrder - b.groupOrder;\\n } else if (a.renderOrder !== b.renderOrder) {\\n return a.renderOrder - b.renderOrder;\\n } else if (a.z !== b.z) {\\n return b.z - a.z;\\n } else {\\n return a.id - b.id;\\n }\\n}\\nfunction WebGLRenderList(properties) {\\n const renderItems = [];\\n let renderItemsIndex = 0;\\n const opaque = [];\\n const transmissive = [];\\n const transparent = [];\\n const defaultProgram = {id: -1};\\n function init() {\\n renderItemsIndex = 0;\\n opaque.length = 0;\\n transmissive.length = 0;\\n transparent.length = 0;\\n }\\n function getNextRenderItem(object, geometry, material, groupOrder, z, group) {\\n let renderItem = renderItems[renderItemsIndex];\\n const materialProperties = properties.get(material);\\n if (renderItem === void 0) {\\n renderItem = {\\n id: object.id,\\n object,\\n geometry,\\n material,\\n program: materialProperties.program || defaultProgram,\\n groupOrder,\\n renderOrder: object.renderOrder,\\n z,\\n group\\n };\\n renderItems[renderItemsIndex] = renderItem;\\n } else {\\n renderItem.id = object.id;\\n renderItem.object = object;\\n renderItem.geometry = geometry;\\n renderItem.material = material;\\n renderItem.program = materialProperties.program || defaultProgram;\\n renderItem.groupOrder = groupOrder;\\n renderItem.renderOrder = object.renderOrder;\\n renderItem.z = z;\\n renderItem.group = group;\\n }\\n renderItemsIndex++;\\n return renderItem;\\n }\\n function push(object, geometry, material, groupOrder, z, group) {\\n const renderItem = getNextRenderItem(object, geometry, material, groupOrder, z, group);\\n if (material.transmission > 0) {\\n transmissive.push(renderItem);\\n } else if (material.transparent === true) {\\n transparent.push(renderItem);\\n } else {\\n opaque.push(renderItem);\\n }\\n }\\n function unshift(object, geometry, material, groupOrder, z, group) {\\n const renderItem = getNextRenderItem(object, geometry, material, groupOrder, z, group);\\n if (material.transmission > 0) {\\n transmissive.unshift(renderItem);\\n } else if (material.transparent === true) {\\n transparent.unshift(renderItem);\\n } else {\\n opaque.unshift(renderItem);\\n }\\n }\\n function sort(customOpaqueSort, customTransparentSort) {\\n if (opaque.length > 1)\\n opaque.sort(customOpaqueSort || painterSortStable);\\n if (transmissive.length > 1)\\n transmissive.sort(customTransparentSort || reversePainterSortStable);\\n if (transparent.length > 1)\\n transparent.sort(customTransparentSort || reversePainterSortStable);\\n }\\n function finish() {\\n for (let i = renderItemsIndex, il = renderItems.length; i < il; i++) {\\n const renderItem = renderItems[i];\\n if (renderItem.id === null)\\n break;\\n renderItem.id = null;\\n renderItem.object = null;\\n renderItem.geometry = null;\\n renderItem.material = null;\\n renderItem.program = null;\\n renderItem.group = null;\\n }\\n }\\n return {\\n opaque,\\n transmissive,\\n transparent,\\n init,\\n push,\\n unshift,\\n finish,\\n sort\\n };\\n}\\nfunction WebGLRenderLists(properties) {\\n let lists = new WeakMap();\\n function get(scene, renderCallDepth) {\\n let list;\\n if (lists.has(scene) === false) {\\n list = new WebGLRenderList(properties);\\n lists.set(scene, [list]);\\n } else {\\n if (renderCallDepth >= lists.get(scene).length) {\\n list = new WebGLRenderList(properties);\\n lists.get(scene).push(list);\\n } else {\\n list = lists.get(scene)[renderCallDepth];\\n }\\n }\\n return list;\\n }\\n function dispose() {\\n lists = new WeakMap();\\n }\\n return {\\n get,\\n dispose\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLLights.js\\nfunction UniformsCache() {\\n const lights = {};\\n return {\\n get: function(light) {\\n if (lights[light.id] !== void 0) {\\n return lights[light.id];\\n }\\n let uniforms;\\n switch (light.type) {\\n case \\\\\\\"DirectionalLight\\\\\\\":\\n uniforms = {\\n direction: new Vector3(),\\n color: new Color()\\n };\\n break;\\n case \\\\\\\"SpotLight\\\\\\\":\\n uniforms = {\\n position: new Vector3(),\\n direction: new Vector3(),\\n color: new Color(),\\n distance: 0,\\n coneCos: 0,\\n penumbraCos: 0,\\n decay: 0\\n };\\n break;\\n case \\\\\\\"PointLight\\\\\\\":\\n uniforms = {\\n position: new Vector3(),\\n color: new Color(),\\n distance: 0,\\n decay: 0\\n };\\n break;\\n case \\\\\\\"HemisphereLight\\\\\\\":\\n uniforms = {\\n direction: new Vector3(),\\n skyColor: new Color(),\\n groundColor: new Color()\\n };\\n break;\\n case \\\\\\\"RectAreaLight\\\\\\\":\\n uniforms = {\\n color: new Color(),\\n position: new Vector3(),\\n halfWidth: new Vector3(),\\n halfHeight: new Vector3()\\n };\\n break;\\n }\\n lights[light.id] = uniforms;\\n return uniforms;\\n }\\n };\\n}\\nfunction ShadowUniformsCache() {\\n const lights = {};\\n return {\\n get: function(light) {\\n if (lights[light.id] !== void 0) {\\n return lights[light.id];\\n }\\n let uniforms;\\n switch (light.type) {\\n case \\\\\\\"DirectionalLight\\\\\\\":\\n uniforms = {\\n shadowBias: 0,\\n shadowNormalBias: 0,\\n shadowRadius: 1,\\n shadowMapSize: new Vector2()\\n };\\n break;\\n case \\\\\\\"SpotLight\\\\\\\":\\n uniforms = {\\n shadowBias: 0,\\n shadowNormalBias: 0,\\n shadowRadius: 1,\\n shadowMapSize: new Vector2()\\n };\\n break;\\n case \\\\\\\"PointLight\\\\\\\":\\n uniforms = {\\n shadowBias: 0,\\n shadowNormalBias: 0,\\n shadowRadius: 1,\\n shadowMapSize: new Vector2(),\\n shadowCameraNear: 1,\\n shadowCameraFar: 1e3\\n };\\n break;\\n }\\n lights[light.id] = uniforms;\\n return uniforms;\\n }\\n };\\n}\\nvar nextVersion = 0;\\nfunction shadowCastingLightsFirst(lightA, lightB) {\\n return (lightB.castShadow ? 1 : 0) - (lightA.castShadow ? 1 : 0);\\n}\\nfunction WebGLLights(extensions, capabilities) {\\n const cache = new UniformsCache();\\n const shadowCache = ShadowUniformsCache();\\n const state = {\\n version: 0,\\n hash: {\\n directionalLength: -1,\\n pointLength: -1,\\n spotLength: -1,\\n rectAreaLength: -1,\\n hemiLength: -1,\\n numDirectionalShadows: -1,\\n numPointShadows: -1,\\n numSpotShadows: -1\\n },\\n ambient: [0, 0, 0],\\n probe: [],\\n directional: [],\\n directionalShadow: [],\\n directionalShadowMap: [],\\n directionalShadowMatrix: [],\\n spot: [],\\n spotShadow: [],\\n spotShadowMap: [],\\n spotShadowMatrix: [],\\n rectArea: [],\\n rectAreaLTC1: null,\\n rectAreaLTC2: null,\\n point: [],\\n pointShadow: [],\\n pointShadowMap: [],\\n pointShadowMatrix: [],\\n hemi: []\\n };\\n for (let i = 0; i < 9; i++)\\n state.probe.push(new Vector3());\\n const vector3 = new Vector3();\\n const matrix4 = new Matrix4();\\n const matrix42 = new Matrix4();\\n function setup(lights, physicallyCorrectLights) {\\n let r = 0, g = 0, b = 0;\\n for (let i = 0; i < 9; i++)\\n state.probe[i].set(0, 0, 0);\\n let directionalLength = 0;\\n let pointLength = 0;\\n let spotLength = 0;\\n let rectAreaLength = 0;\\n let hemiLength = 0;\\n let numDirectionalShadows = 0;\\n let numPointShadows = 0;\\n let numSpotShadows = 0;\\n lights.sort(shadowCastingLightsFirst);\\n const scaleFactor = physicallyCorrectLights !== true ? Math.PI : 1;\\n for (let i = 0, l = lights.length; i < l; i++) {\\n const light = lights[i];\\n const color = light.color;\\n const intensity = light.intensity;\\n const distance = light.distance;\\n const shadowMap = light.shadow && light.shadow.map ? light.shadow.map.texture : null;\\n if (light.isAmbientLight) {\\n r += color.r * intensity * scaleFactor;\\n g += color.g * intensity * scaleFactor;\\n b += color.b * intensity * scaleFactor;\\n } else if (light.isLightProbe) {\\n for (let j = 0; j < 9; j++) {\\n state.probe[j].addScaledVector(light.sh.coefficients[j], intensity);\\n }\\n } else if (light.isDirectionalLight) {\\n const uniforms = cache.get(light);\\n uniforms.color.copy(light.color).multiplyScalar(light.intensity * scaleFactor);\\n if (light.castShadow) {\\n const shadow2 = light.shadow;\\n const shadowUniforms = shadowCache.get(light);\\n shadowUniforms.shadowBias = shadow2.bias;\\n shadowUniforms.shadowNormalBias = shadow2.normalBias;\\n shadowUniforms.shadowRadius = shadow2.radius;\\n shadowUniforms.shadowMapSize = shadow2.mapSize;\\n state.directionalShadow[directionalLength] = shadowUniforms;\\n state.directionalShadowMap[directionalLength] = shadowMap;\\n state.directionalShadowMatrix[directionalLength] = light.shadow.matrix;\\n numDirectionalShadows++;\\n }\\n state.directional[directionalLength] = uniforms;\\n directionalLength++;\\n } else if (light.isSpotLight) {\\n const uniforms = cache.get(light);\\n uniforms.position.setFromMatrixPosition(light.matrixWorld);\\n uniforms.color.copy(color).multiplyScalar(intensity * scaleFactor);\\n uniforms.distance = distance;\\n uniforms.coneCos = Math.cos(light.angle);\\n uniforms.penumbraCos = Math.cos(light.angle * (1 - light.penumbra));\\n uniforms.decay = light.decay;\\n if (light.castShadow) {\\n const shadow2 = light.shadow;\\n const shadowUniforms = shadowCache.get(light);\\n shadowUniforms.shadowBias = shadow2.bias;\\n shadowUniforms.shadowNormalBias = shadow2.normalBias;\\n shadowUniforms.shadowRadius = shadow2.radius;\\n shadowUniforms.shadowMapSize = shadow2.mapSize;\\n state.spotShadow[spotLength] = shadowUniforms;\\n state.spotShadowMap[spotLength] = shadowMap;\\n state.spotShadowMatrix[spotLength] = light.shadow.matrix;\\n numSpotShadows++;\\n }\\n state.spot[spotLength] = uniforms;\\n spotLength++;\\n } else if (light.isRectAreaLight) {\\n const uniforms = cache.get(light);\\n uniforms.color.copy(color).multiplyScalar(intensity);\\n uniforms.halfWidth.set(light.width * 0.5, 0, 0);\\n uniforms.halfHeight.set(0, light.height * 0.5, 0);\\n state.rectArea[rectAreaLength] = uniforms;\\n rectAreaLength++;\\n } else if (light.isPointLight) {\\n const uniforms = cache.get(light);\\n uniforms.color.copy(light.color).multiplyScalar(light.intensity * scaleFactor);\\n uniforms.distance = light.distance;\\n uniforms.decay = light.decay;\\n if (light.castShadow) {\\n const shadow2 = light.shadow;\\n const shadowUniforms = shadowCache.get(light);\\n shadowUniforms.shadowBias = shadow2.bias;\\n shadowUniforms.shadowNormalBias = shadow2.normalBias;\\n shadowUniforms.shadowRadius = shadow2.radius;\\n shadowUniforms.shadowMapSize = shadow2.mapSize;\\n shadowUniforms.shadowCameraNear = shadow2.camera.near;\\n shadowUniforms.shadowCameraFar = shadow2.camera.far;\\n state.pointShadow[pointLength] = shadowUniforms;\\n state.pointShadowMap[pointLength] = shadowMap;\\n state.pointShadowMatrix[pointLength] = light.shadow.matrix;\\n numPointShadows++;\\n }\\n state.point[pointLength] = uniforms;\\n pointLength++;\\n } else if (light.isHemisphereLight) {\\n const uniforms = cache.get(light);\\n uniforms.skyColor.copy(light.color).multiplyScalar(intensity * scaleFactor);\\n uniforms.groundColor.copy(light.groundColor).multiplyScalar(intensity * scaleFactor);\\n state.hemi[hemiLength] = uniforms;\\n hemiLength++;\\n }\\n }\\n if (rectAreaLength > 0) {\\n if (capabilities.isWebGL2) {\\n state.rectAreaLTC1 = UniformsLib.LTC_FLOAT_1;\\n state.rectAreaLTC2 = UniformsLib.LTC_FLOAT_2;\\n } else {\\n if (extensions.has(\\\\\\\"OES_texture_float_linear\\\\\\\") === true) {\\n state.rectAreaLTC1 = UniformsLib.LTC_FLOAT_1;\\n state.rectAreaLTC2 = UniformsLib.LTC_FLOAT_2;\\n } else if (extensions.has(\\\\\\\"OES_texture_half_float_linear\\\\\\\") === true) {\\n state.rectAreaLTC1 = UniformsLib.LTC_HALF_1;\\n state.rectAreaLTC2 = UniformsLib.LTC_HALF_2;\\n } else {\\n console.error(\\\\\\\"THREE.WebGLRenderer: Unable to use RectAreaLight. Missing WebGL extensions.\\\\\\\");\\n }\\n }\\n }\\n state.ambient[0] = r;\\n state.ambient[1] = g;\\n state.ambient[2] = b;\\n const hash = state.hash;\\n if (hash.directionalLength !== directionalLength || hash.pointLength !== pointLength || hash.spotLength !== spotLength || hash.rectAreaLength !== rectAreaLength || hash.hemiLength !== hemiLength || hash.numDirectionalShadows !== numDirectionalShadows || hash.numPointShadows !== numPointShadows || hash.numSpotShadows !== numSpotShadows) {\\n state.directional.length = directionalLength;\\n state.spot.length = spotLength;\\n state.rectArea.length = rectAreaLength;\\n state.point.length = pointLength;\\n state.hemi.length = hemiLength;\\n state.directionalShadow.length = numDirectionalShadows;\\n state.directionalShadowMap.length = numDirectionalShadows;\\n state.pointShadow.length = numPointShadows;\\n state.pointShadowMap.length = numPointShadows;\\n state.spotShadow.length = numSpotShadows;\\n state.spotShadowMap.length = numSpotShadows;\\n state.directionalShadowMatrix.length = numDirectionalShadows;\\n state.pointShadowMatrix.length = numPointShadows;\\n state.spotShadowMatrix.length = numSpotShadows;\\n hash.directionalLength = directionalLength;\\n hash.pointLength = pointLength;\\n hash.spotLength = spotLength;\\n hash.rectAreaLength = rectAreaLength;\\n hash.hemiLength = hemiLength;\\n hash.numDirectionalShadows = numDirectionalShadows;\\n hash.numPointShadows = numPointShadows;\\n hash.numSpotShadows = numSpotShadows;\\n state.version = nextVersion++;\\n }\\n }\\n function setupView(lights, camera) {\\n let directionalLength = 0;\\n let pointLength = 0;\\n let spotLength = 0;\\n let rectAreaLength = 0;\\n let hemiLength = 0;\\n const viewMatrix = camera.matrixWorldInverse;\\n for (let i = 0, l = lights.length; i < l; i++) {\\n const light = lights[i];\\n if (light.isDirectionalLight) {\\n const uniforms = state.directional[directionalLength];\\n uniforms.direction.setFromMatrixPosition(light.matrixWorld);\\n vector3.setFromMatrixPosition(light.target.matrixWorld);\\n uniforms.direction.sub(vector3);\\n uniforms.direction.transformDirection(viewMatrix);\\n directionalLength++;\\n } else if (light.isSpotLight) {\\n const uniforms = state.spot[spotLength];\\n uniforms.position.setFromMatrixPosition(light.matrixWorld);\\n uniforms.position.applyMatrix4(viewMatrix);\\n uniforms.direction.setFromMatrixPosition(light.matrixWorld);\\n vector3.setFromMatrixPosition(light.target.matrixWorld);\\n uniforms.direction.sub(vector3);\\n uniforms.direction.transformDirection(viewMatrix);\\n spotLength++;\\n } else if (light.isRectAreaLight) {\\n const uniforms = state.rectArea[rectAreaLength];\\n uniforms.position.setFromMatrixPosition(light.matrixWorld);\\n uniforms.position.applyMatrix4(viewMatrix);\\n matrix42.identity();\\n matrix4.copy(light.matrixWorld);\\n matrix4.premultiply(viewMatrix);\\n matrix42.extractRotation(matrix4);\\n uniforms.halfWidth.set(light.width * 0.5, 0, 0);\\n uniforms.halfHeight.set(0, light.height * 0.5, 0);\\n uniforms.halfWidth.applyMatrix4(matrix42);\\n uniforms.halfHeight.applyMatrix4(matrix42);\\n rectAreaLength++;\\n } else if (light.isPointLight) {\\n const uniforms = state.point[pointLength];\\n uniforms.position.setFromMatrixPosition(light.matrixWorld);\\n uniforms.position.applyMatrix4(viewMatrix);\\n pointLength++;\\n } else if (light.isHemisphereLight) {\\n const uniforms = state.hemi[hemiLength];\\n uniforms.direction.setFromMatrixPosition(light.matrixWorld);\\n uniforms.direction.transformDirection(viewMatrix);\\n uniforms.direction.normalize();\\n hemiLength++;\\n }\\n }\\n }\\n return {\\n setup,\\n setupView,\\n state\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLRenderStates.js\\nfunction WebGLRenderState(extensions, capabilities) {\\n const lights = new WebGLLights(extensions, capabilities);\\n const lightsArray = [];\\n const shadowsArray = [];\\n function init() {\\n lightsArray.length = 0;\\n shadowsArray.length = 0;\\n }\\n function pushLight(light) {\\n lightsArray.push(light);\\n }\\n function pushShadow(shadowLight) {\\n shadowsArray.push(shadowLight);\\n }\\n function setupLights(physicallyCorrectLights) {\\n lights.setup(lightsArray, physicallyCorrectLights);\\n }\\n function setupLightsView(camera) {\\n lights.setupView(lightsArray, camera);\\n }\\n const state = {\\n lightsArray,\\n shadowsArray,\\n lights\\n };\\n return {\\n init,\\n state,\\n setupLights,\\n setupLightsView,\\n pushLight,\\n pushShadow\\n };\\n}\\nfunction WebGLRenderStates(extensions, capabilities) {\\n let renderStates = new WeakMap();\\n function get(scene, renderCallDepth = 0) {\\n let renderState;\\n if (renderStates.has(scene) === false) {\\n renderState = new WebGLRenderState(extensions, capabilities);\\n renderStates.set(scene, [renderState]);\\n } else {\\n if (renderCallDepth >= renderStates.get(scene).length) {\\n renderState = new WebGLRenderState(extensions, capabilities);\\n renderStates.get(scene).push(renderState);\\n } else {\\n renderState = renderStates.get(scene)[renderCallDepth];\\n }\\n }\\n return renderState;\\n }\\n function dispose() {\\n renderStates = new WeakMap();\\n }\\n return {\\n get,\\n dispose\\n };\\n}\\n\\n// ../../../node_modules/three/src/materials/MeshDepthMaterial.js\\nvar MeshDepthMaterial = class extends Material {\\n constructor(parameters) {\\n super();\\n this.type = \\\\\\\"MeshDepthMaterial\\\\\\\";\\n this.depthPacking = BasicDepthPacking;\\n this.map = null;\\n this.alphaMap = null;\\n this.displacementMap = null;\\n this.displacementScale = 1;\\n this.displacementBias = 0;\\n this.wireframe = false;\\n this.wireframeLinewidth = 1;\\n this.fog = false;\\n this.setValues(parameters);\\n }\\n copy(source) {\\n super.copy(source);\\n this.depthPacking = source.depthPacking;\\n this.map = source.map;\\n this.alphaMap = source.alphaMap;\\n this.displacementMap = source.displacementMap;\\n this.displacementScale = source.displacementScale;\\n this.displacementBias = source.displacementBias;\\n this.wireframe = source.wireframe;\\n this.wireframeLinewidth = source.wireframeLinewidth;\\n return this;\\n }\\n};\\nMeshDepthMaterial.prototype.isMeshDepthMaterial = true;\\n\\n// ../../../node_modules/three/src/materials/MeshDistanceMaterial.js\\nvar MeshDistanceMaterial = class extends Material {\\n constructor(parameters) {\\n super();\\n this.type = \\\\\\\"MeshDistanceMaterial\\\\\\\";\\n this.referencePosition = new Vector3();\\n this.nearDistance = 1;\\n this.farDistance = 1e3;\\n this.map = null;\\n this.alphaMap = null;\\n this.displacementMap = null;\\n this.displacementScale = 1;\\n this.displacementBias = 0;\\n this.fog = false;\\n this.setValues(parameters);\\n }\\n copy(source) {\\n super.copy(source);\\n this.referencePosition.copy(source.referencePosition);\\n this.nearDistance = source.nearDistance;\\n this.farDistance = source.farDistance;\\n this.map = source.map;\\n this.alphaMap = source.alphaMap;\\n this.displacementMap = source.displacementMap;\\n this.displacementScale = source.displacementScale;\\n this.displacementBias = source.displacementBias;\\n return this;\\n }\\n};\\nMeshDistanceMaterial.prototype.isMeshDistanceMaterial = true;\\n\\n// ../../../node_modules/three/src/renderers/shaders/ShaderLib/vsm.glsl.js\\nvar vertex17 = `\\nvoid main() {\\n\\n\\tgl_Position = vec4( position, 1.0 );\\n\\n}\\n`;\\nvar fragment17 = `\\nuniform sampler2D shadow_pass;\\nuniform vec2 resolution;\\nuniform float radius;\\nuniform float samples;\\n\\n#include \\n\\nvoid main() {\\n\\n\\tfloat mean = 0.0;\\n\\tfloat squared_mean = 0.0;\\n\\n\\t// This seems totally useless but it's a crazy work around for a Adreno compiler bug\\n\\t// float depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy ) / resolution ) );\\n\\n\\tfloat uvStride = samples <= 1.0 ? 0.0 : 2.0 / ( samples - 1.0 );\\n\\tfloat uvStart = samples <= 1.0 ? 0.0 : - 1.0;\\n\\tfor ( float i = 0.0; i < samples; i ++ ) {\\n\\n\\t\\tfloat uvOffset = uvStart + i * uvStride;\\n\\n\\t\\t#ifdef HORIZONTAL_PASS\\n\\n\\t\\t\\tvec2 distribution = unpackRGBATo2Half( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( uvOffset, 0.0 ) * radius ) / resolution ) );\\n\\t\\t\\tmean += distribution.x;\\n\\t\\t\\tsquared_mean += distribution.y * distribution.y + distribution.x * distribution.x;\\n\\n\\t\\t#else\\n\\n\\t\\t\\tfloat depth = unpackRGBAToDepth( texture2D( shadow_pass, ( gl_FragCoord.xy + vec2( 0.0, uvOffset ) * radius ) / resolution ) );\\n\\t\\t\\tmean += depth;\\n\\t\\t\\tsquared_mean += depth * depth;\\n\\n\\t\\t#endif\\n\\n\\t}\\n\\n\\tmean = mean / samples;\\n\\tsquared_mean = squared_mean / samples;\\n\\n\\tfloat std_dev = sqrt( squared_mean - mean * mean );\\n\\n\\tgl_FragColor = pack2HalfToRGBA( vec2( mean, std_dev ) );\\n\\n}\\n`;\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLShadowMap.js\\nfunction WebGLShadowMap(_renderer, _objects, _capabilities) {\\n let _frustum = new Frustum();\\n const _shadowMapSize = new Vector2(), _viewportSize = new Vector2(), _viewport = new Vector4(), _depthMaterial = new MeshDepthMaterial({depthPacking: RGBADepthPacking}), _distanceMaterial = new MeshDistanceMaterial(), _materialCache = {}, _maxTextureSize = _capabilities.maxTextureSize;\\n const shadowSide = {0: BackSide, 1: FrontSide, 2: DoubleSide};\\n const shadowMaterialVertical = new ShaderMaterial({\\n uniforms: {\\n shadow_pass: {value: null},\\n resolution: {value: new Vector2()},\\n radius: {value: 4},\\n samples: {value: 8}\\n },\\n vertexShader: vertex17,\\n fragmentShader: fragment17\\n });\\n const shadowMaterialHorizontal = shadowMaterialVertical.clone();\\n shadowMaterialHorizontal.defines.HORIZONTAL_PASS = 1;\\n const fullScreenTri = new BufferGeometry();\\n fullScreenTri.setAttribute(\\\\\\\"position\\\\\\\", new BufferAttribute(new Float32Array([-1, -1, 0.5, 3, -1, 0.5, -1, 3, 0.5]), 3));\\n const fullScreenMesh = new Mesh(fullScreenTri, shadowMaterialVertical);\\n const scope = this;\\n this.enabled = false;\\n this.autoUpdate = true;\\n this.needsUpdate = false;\\n this.type = PCFShadowMap;\\n this.render = function(lights, scene, camera) {\\n if (scope.enabled === false)\\n return;\\n if (scope.autoUpdate === false && scope.needsUpdate === false)\\n return;\\n if (lights.length === 0)\\n return;\\n const currentRenderTarget = _renderer.getRenderTarget();\\n const activeCubeFace = _renderer.getActiveCubeFace();\\n const activeMipmapLevel = _renderer.getActiveMipmapLevel();\\n const _state = _renderer.state;\\n _state.setBlending(NoBlending);\\n _state.buffers.color.setClear(1, 1, 1, 1);\\n _state.buffers.depth.setTest(true);\\n _state.setScissorTest(false);\\n for (let i = 0, il = lights.length; i < il; i++) {\\n const light = lights[i];\\n const shadow2 = light.shadow;\\n if (shadow2 === void 0) {\\n console.warn(\\\\\\\"THREE.WebGLShadowMap:\\\\\\\", light, \\\\\\\"has no shadow.\\\\\\\");\\n continue;\\n }\\n if (shadow2.autoUpdate === false && shadow2.needsUpdate === false)\\n continue;\\n _shadowMapSize.copy(shadow2.mapSize);\\n const shadowFrameExtents = shadow2.getFrameExtents();\\n _shadowMapSize.multiply(shadowFrameExtents);\\n _viewportSize.copy(shadow2.mapSize);\\n if (_shadowMapSize.x > _maxTextureSize || _shadowMapSize.y > _maxTextureSize) {\\n if (_shadowMapSize.x > _maxTextureSize) {\\n _viewportSize.x = Math.floor(_maxTextureSize / shadowFrameExtents.x);\\n _shadowMapSize.x = _viewportSize.x * shadowFrameExtents.x;\\n shadow2.mapSize.x = _viewportSize.x;\\n }\\n if (_shadowMapSize.y > _maxTextureSize) {\\n _viewportSize.y = Math.floor(_maxTextureSize / shadowFrameExtents.y);\\n _shadowMapSize.y = _viewportSize.y * shadowFrameExtents.y;\\n shadow2.mapSize.y = _viewportSize.y;\\n }\\n }\\n if (shadow2.map === null && !shadow2.isPointLightShadow && this.type === VSMShadowMap) {\\n const pars = {minFilter: LinearFilter, magFilter: LinearFilter, format: RGBAFormat};\\n shadow2.map = new WebGLRenderTarget(_shadowMapSize.x, _shadowMapSize.y, pars);\\n shadow2.map.texture.name = light.name + \\\\\\\".shadowMap\\\\\\\";\\n shadow2.mapPass = new WebGLRenderTarget(_shadowMapSize.x, _shadowMapSize.y, pars);\\n shadow2.camera.updateProjectionMatrix();\\n }\\n if (shadow2.map === null) {\\n const pars = {minFilter: NearestFilter, magFilter: NearestFilter, format: RGBAFormat};\\n shadow2.map = new WebGLRenderTarget(_shadowMapSize.x, _shadowMapSize.y, pars);\\n shadow2.map.texture.name = light.name + \\\\\\\".shadowMap\\\\\\\";\\n shadow2.camera.updateProjectionMatrix();\\n }\\n _renderer.setRenderTarget(shadow2.map);\\n _renderer.clear();\\n const viewportCount = shadow2.getViewportCount();\\n for (let vp = 0; vp < viewportCount; vp++) {\\n const viewport = shadow2.getViewport(vp);\\n _viewport.set(_viewportSize.x * viewport.x, _viewportSize.y * viewport.y, _viewportSize.x * viewport.z, _viewportSize.y * viewport.w);\\n _state.viewport(_viewport);\\n shadow2.updateMatrices(light, vp);\\n _frustum = shadow2.getFrustum();\\n renderObject(scene, camera, shadow2.camera, light, this.type);\\n }\\n if (!shadow2.isPointLightShadow && this.type === VSMShadowMap) {\\n VSMPass(shadow2, camera);\\n }\\n shadow2.needsUpdate = false;\\n }\\n scope.needsUpdate = false;\\n _renderer.setRenderTarget(currentRenderTarget, activeCubeFace, activeMipmapLevel);\\n };\\n function VSMPass(shadow2, camera) {\\n const geometry = _objects.update(fullScreenMesh);\\n shadowMaterialVertical.uniforms.shadow_pass.value = shadow2.map.texture;\\n shadowMaterialVertical.uniforms.resolution.value = shadow2.mapSize;\\n shadowMaterialVertical.uniforms.radius.value = shadow2.radius;\\n shadowMaterialVertical.uniforms.samples.value = shadow2.blurSamples;\\n _renderer.setRenderTarget(shadow2.mapPass);\\n _renderer.clear();\\n _renderer.renderBufferDirect(camera, null, geometry, shadowMaterialVertical, fullScreenMesh, null);\\n shadowMaterialHorizontal.uniforms.shadow_pass.value = shadow2.mapPass.texture;\\n shadowMaterialHorizontal.uniforms.resolution.value = shadow2.mapSize;\\n shadowMaterialHorizontal.uniforms.radius.value = shadow2.radius;\\n shadowMaterialHorizontal.uniforms.samples.value = shadow2.blurSamples;\\n _renderer.setRenderTarget(shadow2.map);\\n _renderer.clear();\\n _renderer.renderBufferDirect(camera, null, geometry, shadowMaterialHorizontal, fullScreenMesh, null);\\n }\\n function getDepthMaterial(object, geometry, material, light, shadowCameraNear, shadowCameraFar, type) {\\n let result = null;\\n const customMaterial = light.isPointLight === true ? object.customDistanceMaterial : object.customDepthMaterial;\\n if (customMaterial !== void 0) {\\n result = customMaterial;\\n } else {\\n result = light.isPointLight === true ? _distanceMaterial : _depthMaterial;\\n }\\n if (_renderer.localClippingEnabled && material.clipShadows === true && material.clippingPlanes.length !== 0 || material.displacementMap && material.displacementScale !== 0 || material.alphaMap && material.alphaTest > 0) {\\n const keyA = result.uuid, keyB = material.uuid;\\n let materialsForVariant = _materialCache[keyA];\\n if (materialsForVariant === void 0) {\\n materialsForVariant = {};\\n _materialCache[keyA] = materialsForVariant;\\n }\\n let cachedMaterial = materialsForVariant[keyB];\\n if (cachedMaterial === void 0) {\\n cachedMaterial = result.clone();\\n materialsForVariant[keyB] = cachedMaterial;\\n }\\n result = cachedMaterial;\\n }\\n result.visible = material.visible;\\n result.wireframe = material.wireframe;\\n if (type === VSMShadowMap) {\\n result.side = material.shadowSide !== null ? material.shadowSide : material.side;\\n } else {\\n result.side = material.shadowSide !== null ? material.shadowSide : shadowSide[material.side];\\n }\\n result.alphaMap = material.alphaMap;\\n result.alphaTest = material.alphaTest;\\n result.clipShadows = material.clipShadows;\\n result.clippingPlanes = material.clippingPlanes;\\n result.clipIntersection = material.clipIntersection;\\n result.displacementMap = material.displacementMap;\\n result.displacementScale = material.displacementScale;\\n result.displacementBias = material.displacementBias;\\n result.wireframeLinewidth = material.wireframeLinewidth;\\n result.linewidth = material.linewidth;\\n if (light.isPointLight === true && result.isMeshDistanceMaterial === true) {\\n result.referencePosition.setFromMatrixPosition(light.matrixWorld);\\n result.nearDistance = shadowCameraNear;\\n result.farDistance = shadowCameraFar;\\n }\\n return result;\\n }\\n function renderObject(object, camera, shadowCamera, light, type) {\\n if (object.visible === false)\\n return;\\n const visible = object.layers.test(camera.layers);\\n if (visible && (object.isMesh || object.isLine || object.isPoints)) {\\n if ((object.castShadow || object.receiveShadow && type === VSMShadowMap) && (!object.frustumCulled || _frustum.intersectsObject(object))) {\\n object.modelViewMatrix.multiplyMatrices(shadowCamera.matrixWorldInverse, object.matrixWorld);\\n const geometry = _objects.update(object);\\n const material = object.material;\\n if (Array.isArray(material)) {\\n const groups = geometry.groups;\\n for (let k = 0, kl = groups.length; k < kl; k++) {\\n const group = groups[k];\\n const groupMaterial = material[group.materialIndex];\\n if (groupMaterial && groupMaterial.visible) {\\n const depthMaterial = getDepthMaterial(object, geometry, groupMaterial, light, shadowCamera.near, shadowCamera.far, type);\\n _renderer.renderBufferDirect(shadowCamera, null, geometry, depthMaterial, object, group);\\n }\\n }\\n } else if (material.visible) {\\n const depthMaterial = getDepthMaterial(object, geometry, material, light, shadowCamera.near, shadowCamera.far, type);\\n _renderer.renderBufferDirect(shadowCamera, null, geometry, depthMaterial, object, null);\\n }\\n }\\n }\\n const children = object.children;\\n for (let i = 0, l = children.length; i < l; i++) {\\n renderObject(children[i], camera, shadowCamera, light, type);\\n }\\n }\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLState.js\\nfunction WebGLState(gl, extensions, capabilities) {\\n const isWebGL2 = capabilities.isWebGL2;\\n function ColorBuffer() {\\n let locked = false;\\n const color = new Vector4();\\n let currentColorMask = null;\\n const currentColorClear = new Vector4(0, 0, 0, 0);\\n return {\\n setMask: function(colorMask) {\\n if (currentColorMask !== colorMask && !locked) {\\n gl.colorMask(colorMask, colorMask, colorMask, colorMask);\\n currentColorMask = colorMask;\\n }\\n },\\n setLocked: function(lock) {\\n locked = lock;\\n },\\n setClear: function(r, g, b, a, premultipliedAlpha) {\\n if (premultipliedAlpha === true) {\\n r *= a;\\n g *= a;\\n b *= a;\\n }\\n color.set(r, g, b, a);\\n if (currentColorClear.equals(color) === false) {\\n gl.clearColor(r, g, b, a);\\n currentColorClear.copy(color);\\n }\\n },\\n reset: function() {\\n locked = false;\\n currentColorMask = null;\\n currentColorClear.set(-1, 0, 0, 0);\\n }\\n };\\n }\\n function DepthBuffer() {\\n let locked = false;\\n let currentDepthMask = null;\\n let currentDepthFunc = null;\\n let currentDepthClear = null;\\n return {\\n setTest: function(depthTest) {\\n if (depthTest) {\\n enable(gl.DEPTH_TEST);\\n } else {\\n disable(gl.DEPTH_TEST);\\n }\\n },\\n setMask: function(depthMask) {\\n if (currentDepthMask !== depthMask && !locked) {\\n gl.depthMask(depthMask);\\n currentDepthMask = depthMask;\\n }\\n },\\n setFunc: function(depthFunc) {\\n if (currentDepthFunc !== depthFunc) {\\n if (depthFunc) {\\n switch (depthFunc) {\\n case NeverDepth:\\n gl.depthFunc(gl.NEVER);\\n break;\\n case AlwaysDepth:\\n gl.depthFunc(gl.ALWAYS);\\n break;\\n case LessDepth:\\n gl.depthFunc(gl.LESS);\\n break;\\n case LessEqualDepth:\\n gl.depthFunc(gl.LEQUAL);\\n break;\\n case EqualDepth:\\n gl.depthFunc(gl.EQUAL);\\n break;\\n case GreaterEqualDepth:\\n gl.depthFunc(gl.GEQUAL);\\n break;\\n case GreaterDepth:\\n gl.depthFunc(gl.GREATER);\\n break;\\n case NotEqualDepth:\\n gl.depthFunc(gl.NOTEQUAL);\\n break;\\n default:\\n gl.depthFunc(gl.LEQUAL);\\n }\\n } else {\\n gl.depthFunc(gl.LEQUAL);\\n }\\n currentDepthFunc = depthFunc;\\n }\\n },\\n setLocked: function(lock) {\\n locked = lock;\\n },\\n setClear: function(depth2) {\\n if (currentDepthClear !== depth2) {\\n gl.clearDepth(depth2);\\n currentDepthClear = depth2;\\n }\\n },\\n reset: function() {\\n locked = false;\\n currentDepthMask = null;\\n currentDepthFunc = null;\\n currentDepthClear = null;\\n }\\n };\\n }\\n function StencilBuffer() {\\n let locked = false;\\n let currentStencilMask = null;\\n let currentStencilFunc = null;\\n let currentStencilRef = null;\\n let currentStencilFuncMask = null;\\n let currentStencilFail = null;\\n let currentStencilZFail = null;\\n let currentStencilZPass = null;\\n let currentStencilClear = null;\\n return {\\n setTest: function(stencilTest) {\\n if (!locked) {\\n if (stencilTest) {\\n enable(gl.STENCIL_TEST);\\n } else {\\n disable(gl.STENCIL_TEST);\\n }\\n }\\n },\\n setMask: function(stencilMask) {\\n if (currentStencilMask !== stencilMask && !locked) {\\n gl.stencilMask(stencilMask);\\n currentStencilMask = stencilMask;\\n }\\n },\\n setFunc: function(stencilFunc, stencilRef, stencilMask) {\\n if (currentStencilFunc !== stencilFunc || currentStencilRef !== stencilRef || currentStencilFuncMask !== stencilMask) {\\n gl.stencilFunc(stencilFunc, stencilRef, stencilMask);\\n currentStencilFunc = stencilFunc;\\n currentStencilRef = stencilRef;\\n currentStencilFuncMask = stencilMask;\\n }\\n },\\n setOp: function(stencilFail, stencilZFail, stencilZPass) {\\n if (currentStencilFail !== stencilFail || currentStencilZFail !== stencilZFail || currentStencilZPass !== stencilZPass) {\\n gl.stencilOp(stencilFail, stencilZFail, stencilZPass);\\n currentStencilFail = stencilFail;\\n currentStencilZFail = stencilZFail;\\n currentStencilZPass = stencilZPass;\\n }\\n },\\n setLocked: function(lock) {\\n locked = lock;\\n },\\n setClear: function(stencil) {\\n if (currentStencilClear !== stencil) {\\n gl.clearStencil(stencil);\\n currentStencilClear = stencil;\\n }\\n },\\n reset: function() {\\n locked = false;\\n currentStencilMask = null;\\n currentStencilFunc = null;\\n currentStencilRef = null;\\n currentStencilFuncMask = null;\\n currentStencilFail = null;\\n currentStencilZFail = null;\\n currentStencilZPass = null;\\n currentStencilClear = null;\\n }\\n };\\n }\\n const colorBuffer = new ColorBuffer();\\n const depthBuffer = new DepthBuffer();\\n const stencilBuffer = new StencilBuffer();\\n let enabledCapabilities = {};\\n let xrFramebuffer = null;\\n let currentBoundFramebuffers = {};\\n let currentProgram = null;\\n let currentBlendingEnabled = false;\\n let currentBlending = null;\\n let currentBlendEquation = null;\\n let currentBlendSrc = null;\\n let currentBlendDst = null;\\n let currentBlendEquationAlpha = null;\\n let currentBlendSrcAlpha = null;\\n let currentBlendDstAlpha = null;\\n let currentPremultipledAlpha = false;\\n let currentFlipSided = null;\\n let currentCullFace = null;\\n let currentLineWidth = null;\\n let currentPolygonOffsetFactor = null;\\n let currentPolygonOffsetUnits = null;\\n const maxTextures = gl.getParameter(gl.MAX_COMBINED_TEXTURE_IMAGE_UNITS);\\n let lineWidthAvailable = false;\\n let version = 0;\\n const glVersion = gl.getParameter(gl.VERSION);\\n if (glVersion.indexOf(\\\\\\\"WebGL\\\\\\\") !== -1) {\\n version = parseFloat(/^WebGL (\\\\d)/.exec(glVersion)[1]);\\n lineWidthAvailable = version >= 1;\\n } else if (glVersion.indexOf(\\\\\\\"OpenGL ES\\\\\\\") !== -1) {\\n version = parseFloat(/^OpenGL ES (\\\\d)/.exec(glVersion)[1]);\\n lineWidthAvailable = version >= 2;\\n }\\n let currentTextureSlot = null;\\n let currentBoundTextures = {};\\n const scissorParam = gl.getParameter(gl.SCISSOR_BOX);\\n const viewportParam = gl.getParameter(gl.VIEWPORT);\\n const currentScissor = new Vector4().fromArray(scissorParam);\\n const currentViewport = new Vector4().fromArray(viewportParam);\\n function createTexture(type, target, count) {\\n const data = new Uint8Array(4);\\n const texture = gl.createTexture();\\n gl.bindTexture(type, texture);\\n gl.texParameteri(type, gl.TEXTURE_MIN_FILTER, gl.NEAREST);\\n gl.texParameteri(type, gl.TEXTURE_MAG_FILTER, gl.NEAREST);\\n for (let i = 0; i < count; i++) {\\n gl.texImage2D(target + i, 0, gl.RGBA, 1, 1, 0, gl.RGBA, gl.UNSIGNED_BYTE, data);\\n }\\n return texture;\\n }\\n const emptyTextures = {};\\n emptyTextures[gl.TEXTURE_2D] = createTexture(gl.TEXTURE_2D, gl.TEXTURE_2D, 1);\\n emptyTextures[gl.TEXTURE_CUBE_MAP] = createTexture(gl.TEXTURE_CUBE_MAP, gl.TEXTURE_CUBE_MAP_POSITIVE_X, 6);\\n colorBuffer.setClear(0, 0, 0, 1);\\n depthBuffer.setClear(1);\\n stencilBuffer.setClear(0);\\n enable(gl.DEPTH_TEST);\\n depthBuffer.setFunc(LessEqualDepth);\\n setFlipSided(false);\\n setCullFace(CullFaceBack);\\n enable(gl.CULL_FACE);\\n setBlending(NoBlending);\\n function enable(id) {\\n if (enabledCapabilities[id] !== true) {\\n gl.enable(id);\\n enabledCapabilities[id] = true;\\n }\\n }\\n function disable(id) {\\n if (enabledCapabilities[id] !== false) {\\n gl.disable(id);\\n enabledCapabilities[id] = false;\\n }\\n }\\n function bindXRFramebuffer(framebuffer) {\\n if (framebuffer !== xrFramebuffer) {\\n gl.bindFramebuffer(gl.FRAMEBUFFER, framebuffer);\\n xrFramebuffer = framebuffer;\\n }\\n }\\n function bindFramebuffer(target, framebuffer) {\\n if (framebuffer === null && xrFramebuffer !== null)\\n framebuffer = xrFramebuffer;\\n if (currentBoundFramebuffers[target] !== framebuffer) {\\n gl.bindFramebuffer(target, framebuffer);\\n currentBoundFramebuffers[target] = framebuffer;\\n if (isWebGL2) {\\n if (target === gl.DRAW_FRAMEBUFFER) {\\n currentBoundFramebuffers[gl.FRAMEBUFFER] = framebuffer;\\n }\\n if (target === gl.FRAMEBUFFER) {\\n currentBoundFramebuffers[gl.DRAW_FRAMEBUFFER] = framebuffer;\\n }\\n }\\n return true;\\n }\\n return false;\\n }\\n function useProgram(program) {\\n if (currentProgram !== program) {\\n gl.useProgram(program);\\n currentProgram = program;\\n return true;\\n }\\n return false;\\n }\\n const equationToGL = {\\n [AddEquation]: gl.FUNC_ADD,\\n [SubtractEquation]: gl.FUNC_SUBTRACT,\\n [ReverseSubtractEquation]: gl.FUNC_REVERSE_SUBTRACT\\n };\\n if (isWebGL2) {\\n equationToGL[MinEquation] = gl.MIN;\\n equationToGL[MaxEquation] = gl.MAX;\\n } else {\\n const extension = extensions.get(\\\\\\\"EXT_blend_minmax\\\\\\\");\\n if (extension !== null) {\\n equationToGL[MinEquation] = extension.MIN_EXT;\\n equationToGL[MaxEquation] = extension.MAX_EXT;\\n }\\n }\\n const factorToGL = {\\n [ZeroFactor]: gl.ZERO,\\n [OneFactor]: gl.ONE,\\n [SrcColorFactor]: gl.SRC_COLOR,\\n [SrcAlphaFactor]: gl.SRC_ALPHA,\\n [SrcAlphaSaturateFactor]: gl.SRC_ALPHA_SATURATE,\\n [DstColorFactor]: gl.DST_COLOR,\\n [DstAlphaFactor]: gl.DST_ALPHA,\\n [OneMinusSrcColorFactor]: gl.ONE_MINUS_SRC_COLOR,\\n [OneMinusSrcAlphaFactor]: gl.ONE_MINUS_SRC_ALPHA,\\n [OneMinusDstColorFactor]: gl.ONE_MINUS_DST_COLOR,\\n [OneMinusDstAlphaFactor]: gl.ONE_MINUS_DST_ALPHA\\n };\\n function setBlending(blending, blendEquation, blendSrc, blendDst, blendEquationAlpha, blendSrcAlpha, blendDstAlpha, premultipliedAlpha) {\\n if (blending === NoBlending) {\\n if (currentBlendingEnabled === true) {\\n disable(gl.BLEND);\\n currentBlendingEnabled = false;\\n }\\n return;\\n }\\n if (currentBlendingEnabled === false) {\\n enable(gl.BLEND);\\n currentBlendingEnabled = true;\\n }\\n if (blending !== CustomBlending) {\\n if (blending !== currentBlending || premultipliedAlpha !== currentPremultipledAlpha) {\\n if (currentBlendEquation !== AddEquation || currentBlendEquationAlpha !== AddEquation) {\\n gl.blendEquation(gl.FUNC_ADD);\\n currentBlendEquation = AddEquation;\\n currentBlendEquationAlpha = AddEquation;\\n }\\n if (premultipliedAlpha) {\\n switch (blending) {\\n case NormalBlending:\\n gl.blendFuncSeparate(gl.ONE, gl.ONE_MINUS_SRC_ALPHA, gl.ONE, gl.ONE_MINUS_SRC_ALPHA);\\n break;\\n case AdditiveBlending:\\n gl.blendFunc(gl.ONE, gl.ONE);\\n break;\\n case SubtractiveBlending:\\n gl.blendFuncSeparate(gl.ZERO, gl.ZERO, gl.ONE_MINUS_SRC_COLOR, gl.ONE_MINUS_SRC_ALPHA);\\n break;\\n case MultiplyBlending:\\n gl.blendFuncSeparate(gl.ZERO, gl.SRC_COLOR, gl.ZERO, gl.SRC_ALPHA);\\n break;\\n default:\\n console.error(\\\\\\\"THREE.WebGLState: Invalid blending: \\\\\\\", blending);\\n break;\\n }\\n } else {\\n switch (blending) {\\n case NormalBlending:\\n gl.blendFuncSeparate(gl.SRC_ALPHA, gl.ONE_MINUS_SRC_ALPHA, gl.ONE, gl.ONE_MINUS_SRC_ALPHA);\\n break;\\n case AdditiveBlending:\\n gl.blendFunc(gl.SRC_ALPHA, gl.ONE);\\n break;\\n case SubtractiveBlending:\\n gl.blendFunc(gl.ZERO, gl.ONE_MINUS_SRC_COLOR);\\n break;\\n case MultiplyBlending:\\n gl.blendFunc(gl.ZERO, gl.SRC_COLOR);\\n break;\\n default:\\n console.error(\\\\\\\"THREE.WebGLState: Invalid blending: \\\\\\\", blending);\\n break;\\n }\\n }\\n currentBlendSrc = null;\\n currentBlendDst = null;\\n currentBlendSrcAlpha = null;\\n currentBlendDstAlpha = null;\\n currentBlending = blending;\\n currentPremultipledAlpha = premultipliedAlpha;\\n }\\n return;\\n }\\n blendEquationAlpha = blendEquationAlpha || blendEquation;\\n blendSrcAlpha = blendSrcAlpha || blendSrc;\\n blendDstAlpha = blendDstAlpha || blendDst;\\n if (blendEquation !== currentBlendEquation || blendEquationAlpha !== currentBlendEquationAlpha) {\\n gl.blendEquationSeparate(equationToGL[blendEquation], equationToGL[blendEquationAlpha]);\\n currentBlendEquation = blendEquation;\\n currentBlendEquationAlpha = blendEquationAlpha;\\n }\\n if (blendSrc !== currentBlendSrc || blendDst !== currentBlendDst || blendSrcAlpha !== currentBlendSrcAlpha || blendDstAlpha !== currentBlendDstAlpha) {\\n gl.blendFuncSeparate(factorToGL[blendSrc], factorToGL[blendDst], factorToGL[blendSrcAlpha], factorToGL[blendDstAlpha]);\\n currentBlendSrc = blendSrc;\\n currentBlendDst = blendDst;\\n currentBlendSrcAlpha = blendSrcAlpha;\\n currentBlendDstAlpha = blendDstAlpha;\\n }\\n currentBlending = blending;\\n currentPremultipledAlpha = null;\\n }\\n function setMaterial(material, frontFaceCW) {\\n material.side === DoubleSide ? disable(gl.CULL_FACE) : enable(gl.CULL_FACE);\\n let flipSided = material.side === BackSide;\\n if (frontFaceCW)\\n flipSided = !flipSided;\\n setFlipSided(flipSided);\\n material.blending === NormalBlending && material.transparent === false ? setBlending(NoBlending) : setBlending(material.blending, material.blendEquation, material.blendSrc, material.blendDst, material.blendEquationAlpha, material.blendSrcAlpha, material.blendDstAlpha, material.premultipliedAlpha);\\n depthBuffer.setFunc(material.depthFunc);\\n depthBuffer.setTest(material.depthTest);\\n depthBuffer.setMask(material.depthWrite);\\n colorBuffer.setMask(material.colorWrite);\\n const stencilWrite = material.stencilWrite;\\n stencilBuffer.setTest(stencilWrite);\\n if (stencilWrite) {\\n stencilBuffer.setMask(material.stencilWriteMask);\\n stencilBuffer.setFunc(material.stencilFunc, material.stencilRef, material.stencilFuncMask);\\n stencilBuffer.setOp(material.stencilFail, material.stencilZFail, material.stencilZPass);\\n }\\n setPolygonOffset(material.polygonOffset, material.polygonOffsetFactor, material.polygonOffsetUnits);\\n material.alphaToCoverage === true ? enable(gl.SAMPLE_ALPHA_TO_COVERAGE) : disable(gl.SAMPLE_ALPHA_TO_COVERAGE);\\n }\\n function setFlipSided(flipSided) {\\n if (currentFlipSided !== flipSided) {\\n if (flipSided) {\\n gl.frontFace(gl.CW);\\n } else {\\n gl.frontFace(gl.CCW);\\n }\\n currentFlipSided = flipSided;\\n }\\n }\\n function setCullFace(cullFace) {\\n if (cullFace !== CullFaceNone) {\\n enable(gl.CULL_FACE);\\n if (cullFace !== currentCullFace) {\\n if (cullFace === CullFaceBack) {\\n gl.cullFace(gl.BACK);\\n } else if (cullFace === CullFaceFront) {\\n gl.cullFace(gl.FRONT);\\n } else {\\n gl.cullFace(gl.FRONT_AND_BACK);\\n }\\n }\\n } else {\\n disable(gl.CULL_FACE);\\n }\\n currentCullFace = cullFace;\\n }\\n function setLineWidth(width) {\\n if (width !== currentLineWidth) {\\n if (lineWidthAvailable)\\n gl.lineWidth(width);\\n currentLineWidth = width;\\n }\\n }\\n function setPolygonOffset(polygonOffset, factor, units) {\\n if (polygonOffset) {\\n enable(gl.POLYGON_OFFSET_FILL);\\n if (currentPolygonOffsetFactor !== factor || currentPolygonOffsetUnits !== units) {\\n gl.polygonOffset(factor, units);\\n currentPolygonOffsetFactor = factor;\\n currentPolygonOffsetUnits = units;\\n }\\n } else {\\n disable(gl.POLYGON_OFFSET_FILL);\\n }\\n }\\n function setScissorTest(scissorTest) {\\n if (scissorTest) {\\n enable(gl.SCISSOR_TEST);\\n } else {\\n disable(gl.SCISSOR_TEST);\\n }\\n }\\n function activeTexture(webglSlot) {\\n if (webglSlot === void 0)\\n webglSlot = gl.TEXTURE0 + maxTextures - 1;\\n if (currentTextureSlot !== webglSlot) {\\n gl.activeTexture(webglSlot);\\n currentTextureSlot = webglSlot;\\n }\\n }\\n function bindTexture(webglType, webglTexture) {\\n if (currentTextureSlot === null) {\\n activeTexture();\\n }\\n let boundTexture = currentBoundTextures[currentTextureSlot];\\n if (boundTexture === void 0) {\\n boundTexture = {type: void 0, texture: void 0};\\n currentBoundTextures[currentTextureSlot] = boundTexture;\\n }\\n if (boundTexture.type !== webglType || boundTexture.texture !== webglTexture) {\\n gl.bindTexture(webglType, webglTexture || emptyTextures[webglType]);\\n boundTexture.type = webglType;\\n boundTexture.texture = webglTexture;\\n }\\n }\\n function unbindTexture() {\\n const boundTexture = currentBoundTextures[currentTextureSlot];\\n if (boundTexture !== void 0 && boundTexture.type !== void 0) {\\n gl.bindTexture(boundTexture.type, null);\\n boundTexture.type = void 0;\\n boundTexture.texture = void 0;\\n }\\n }\\n function compressedTexImage2D() {\\n try {\\n gl.compressedTexImage2D.apply(gl, arguments);\\n } catch (error) {\\n console.error(\\\\\\\"THREE.WebGLState:\\\\\\\", error);\\n }\\n }\\n function texImage2D() {\\n try {\\n gl.texImage2D.apply(gl, arguments);\\n } catch (error) {\\n console.error(\\\\\\\"THREE.WebGLState:\\\\\\\", error);\\n }\\n }\\n function texImage3D() {\\n try {\\n gl.texImage3D.apply(gl, arguments);\\n } catch (error) {\\n console.error(\\\\\\\"THREE.WebGLState:\\\\\\\", error);\\n }\\n }\\n function scissor(scissor2) {\\n if (currentScissor.equals(scissor2) === false) {\\n gl.scissor(scissor2.x, scissor2.y, scissor2.z, scissor2.w);\\n currentScissor.copy(scissor2);\\n }\\n }\\n function viewport(viewport2) {\\n if (currentViewport.equals(viewport2) === false) {\\n gl.viewport(viewport2.x, viewport2.y, viewport2.z, viewport2.w);\\n currentViewport.copy(viewport2);\\n }\\n }\\n function reset() {\\n gl.disable(gl.BLEND);\\n gl.disable(gl.CULL_FACE);\\n gl.disable(gl.DEPTH_TEST);\\n gl.disable(gl.POLYGON_OFFSET_FILL);\\n gl.disable(gl.SCISSOR_TEST);\\n gl.disable(gl.STENCIL_TEST);\\n gl.disable(gl.SAMPLE_ALPHA_TO_COVERAGE);\\n gl.blendEquation(gl.FUNC_ADD);\\n gl.blendFunc(gl.ONE, gl.ZERO);\\n gl.blendFuncSeparate(gl.ONE, gl.ZERO, gl.ONE, gl.ZERO);\\n gl.colorMask(true, true, true, true);\\n gl.clearColor(0, 0, 0, 0);\\n gl.depthMask(true);\\n gl.depthFunc(gl.LESS);\\n gl.clearDepth(1);\\n gl.stencilMask(4294967295);\\n gl.stencilFunc(gl.ALWAYS, 0, 4294967295);\\n gl.stencilOp(gl.KEEP, gl.KEEP, gl.KEEP);\\n gl.clearStencil(0);\\n gl.cullFace(gl.BACK);\\n gl.frontFace(gl.CCW);\\n gl.polygonOffset(0, 0);\\n gl.activeTexture(gl.TEXTURE0);\\n gl.bindFramebuffer(gl.FRAMEBUFFER, null);\\n if (isWebGL2 === true) {\\n gl.bindFramebuffer(gl.DRAW_FRAMEBUFFER, null);\\n gl.bindFramebuffer(gl.READ_FRAMEBUFFER, null);\\n }\\n gl.useProgram(null);\\n gl.lineWidth(1);\\n gl.scissor(0, 0, gl.canvas.width, gl.canvas.height);\\n gl.viewport(0, 0, gl.canvas.width, gl.canvas.height);\\n enabledCapabilities = {};\\n currentTextureSlot = null;\\n currentBoundTextures = {};\\n xrFramebuffer = null;\\n currentBoundFramebuffers = {};\\n currentProgram = null;\\n currentBlendingEnabled = false;\\n currentBlending = null;\\n currentBlendEquation = null;\\n currentBlendSrc = null;\\n currentBlendDst = null;\\n currentBlendEquationAlpha = null;\\n currentBlendSrcAlpha = null;\\n currentBlendDstAlpha = null;\\n currentPremultipledAlpha = false;\\n currentFlipSided = null;\\n currentCullFace = null;\\n currentLineWidth = null;\\n currentPolygonOffsetFactor = null;\\n currentPolygonOffsetUnits = null;\\n currentScissor.set(0, 0, gl.canvas.width, gl.canvas.height);\\n currentViewport.set(0, 0, gl.canvas.width, gl.canvas.height);\\n colorBuffer.reset();\\n depthBuffer.reset();\\n stencilBuffer.reset();\\n }\\n return {\\n buffers: {\\n color: colorBuffer,\\n depth: depthBuffer,\\n stencil: stencilBuffer\\n },\\n enable,\\n disable,\\n bindFramebuffer,\\n bindXRFramebuffer,\\n useProgram,\\n setBlending,\\n setMaterial,\\n setFlipSided,\\n setCullFace,\\n setLineWidth,\\n setPolygonOffset,\\n setScissorTest,\\n activeTexture,\\n bindTexture,\\n unbindTexture,\\n compressedTexImage2D,\\n texImage2D,\\n texImage3D,\\n scissor,\\n viewport,\\n reset\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLTextures.js\\nfunction WebGLTextures(_gl, extensions, state, properties, capabilities, utils, info) {\\n const isWebGL2 = capabilities.isWebGL2;\\n const maxTextures = capabilities.maxTextures;\\n const maxCubemapSize = capabilities.maxCubemapSize;\\n const maxTextureSize = capabilities.maxTextureSize;\\n const maxSamples = capabilities.maxSamples;\\n const _videoTextures = new WeakMap();\\n let _canvas2;\\n let useOffscreenCanvas = false;\\n try {\\n useOffscreenCanvas = typeof OffscreenCanvas !== \\\\\\\"undefined\\\\\\\" && new OffscreenCanvas(1, 1).getContext(\\\\\\\"2d\\\\\\\") !== null;\\n } catch (err) {\\n }\\n function createCanvas(width, height) {\\n return useOffscreenCanvas ? new OffscreenCanvas(width, height) : createElementNS(\\\\\\\"canvas\\\\\\\");\\n }\\n function resizeImage(image, needsPowerOfTwo, needsNewCanvas, maxSize) {\\n let scale = 1;\\n if (image.width > maxSize || image.height > maxSize) {\\n scale = maxSize / Math.max(image.width, image.height);\\n }\\n if (scale < 1 || needsPowerOfTwo === true) {\\n if (typeof HTMLImageElement !== \\\\\\\"undefined\\\\\\\" && image instanceof HTMLImageElement || typeof HTMLCanvasElement !== \\\\\\\"undefined\\\\\\\" && image instanceof HTMLCanvasElement || typeof ImageBitmap !== \\\\\\\"undefined\\\\\\\" && image instanceof ImageBitmap) {\\n const floor = needsPowerOfTwo ? floorPowerOfTwo : Math.floor;\\n const width = floor(scale * image.width);\\n const height = floor(scale * image.height);\\n if (_canvas2 === void 0)\\n _canvas2 = createCanvas(width, height);\\n const canvas = needsNewCanvas ? createCanvas(width, height) : _canvas2;\\n canvas.width = width;\\n canvas.height = height;\\n const context = canvas.getContext(\\\\\\\"2d\\\\\\\");\\n context.drawImage(image, 0, 0, width, height);\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Texture has been resized from (\\\\\\\" + image.width + \\\\\\\"x\\\\\\\" + image.height + \\\\\\\") to (\\\\\\\" + width + \\\\\\\"x\\\\\\\" + height + \\\\\\\").\\\\\\\");\\n return canvas;\\n } else {\\n if (\\\\\\\"data\\\\\\\" in image) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Image in DataTexture is too big (\\\\\\\" + image.width + \\\\\\\"x\\\\\\\" + image.height + \\\\\\\").\\\\\\\");\\n }\\n return image;\\n }\\n }\\n return image;\\n }\\n function isPowerOfTwo2(image) {\\n return isPowerOfTwo(image.width) && isPowerOfTwo(image.height);\\n }\\n function textureNeedsPowerOfTwo(texture) {\\n if (isWebGL2)\\n return false;\\n return texture.wrapS !== ClampToEdgeWrapping || texture.wrapT !== ClampToEdgeWrapping || texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter;\\n }\\n function textureNeedsGenerateMipmaps(texture, supportsMips) {\\n return texture.generateMipmaps && supportsMips && texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter;\\n }\\n function generateMipmap(target, texture, width, height, depth2 = 1) {\\n _gl.generateMipmap(target);\\n const textureProperties = properties.get(texture);\\n textureProperties.__maxMipLevel = Math.log2(Math.max(width, height, depth2));\\n }\\n function getInternalFormat(internalFormatName, glFormat, glType, encoding) {\\n if (isWebGL2 === false)\\n return glFormat;\\n if (internalFormatName !== null) {\\n if (_gl[internalFormatName] !== void 0)\\n return _gl[internalFormatName];\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Attempt to use non-existing WebGL internal format '\\\\\\\" + internalFormatName + \\\\\\\"'\\\\\\\");\\n }\\n let internalFormat = glFormat;\\n if (glFormat === _gl.RED) {\\n if (glType === _gl.FLOAT)\\n internalFormat = _gl.R32F;\\n if (glType === _gl.HALF_FLOAT)\\n internalFormat = _gl.R16F;\\n if (glType === _gl.UNSIGNED_BYTE)\\n internalFormat = _gl.R8;\\n }\\n if (glFormat === _gl.RGB) {\\n if (glType === _gl.FLOAT)\\n internalFormat = _gl.RGB32F;\\n if (glType === _gl.HALF_FLOAT)\\n internalFormat = _gl.RGB16F;\\n if (glType === _gl.UNSIGNED_BYTE)\\n internalFormat = _gl.RGB8;\\n }\\n if (glFormat === _gl.RGBA) {\\n if (glType === _gl.FLOAT)\\n internalFormat = _gl.RGBA32F;\\n if (glType === _gl.HALF_FLOAT)\\n internalFormat = _gl.RGBA16F;\\n if (glType === _gl.UNSIGNED_BYTE)\\n internalFormat = encoding === sRGBEncoding ? _gl.SRGB8_ALPHA8 : _gl.RGBA8;\\n }\\n if (internalFormat === _gl.R16F || internalFormat === _gl.R32F || internalFormat === _gl.RGBA16F || internalFormat === _gl.RGBA32F) {\\n extensions.get(\\\\\\\"EXT_color_buffer_float\\\\\\\");\\n }\\n return internalFormat;\\n }\\n function filterFallback(f) {\\n if (f === NearestFilter || f === NearestMipmapNearestFilter || f === NearestMipmapLinearFilter) {\\n return _gl.NEAREST;\\n }\\n return _gl.LINEAR;\\n }\\n function onTextureDispose(event) {\\n const texture = event.target;\\n texture.removeEventListener(\\\\\\\"dispose\\\\\\\", onTextureDispose);\\n deallocateTexture(texture);\\n if (texture.isVideoTexture) {\\n _videoTextures.delete(texture);\\n }\\n info.memory.textures--;\\n }\\n function onRenderTargetDispose(event) {\\n const renderTarget = event.target;\\n renderTarget.removeEventListener(\\\\\\\"dispose\\\\\\\", onRenderTargetDispose);\\n deallocateRenderTarget(renderTarget);\\n }\\n function deallocateTexture(texture) {\\n const textureProperties = properties.get(texture);\\n if (textureProperties.__webglInit === void 0)\\n return;\\n _gl.deleteTexture(textureProperties.__webglTexture);\\n properties.remove(texture);\\n }\\n function deallocateRenderTarget(renderTarget) {\\n const texture = renderTarget.texture;\\n const renderTargetProperties = properties.get(renderTarget);\\n const textureProperties = properties.get(texture);\\n if (!renderTarget)\\n return;\\n if (textureProperties.__webglTexture !== void 0) {\\n _gl.deleteTexture(textureProperties.__webglTexture);\\n info.memory.textures--;\\n }\\n if (renderTarget.depthTexture) {\\n renderTarget.depthTexture.dispose();\\n }\\n if (renderTarget.isWebGLCubeRenderTarget) {\\n for (let i = 0; i < 6; i++) {\\n _gl.deleteFramebuffer(renderTargetProperties.__webglFramebuffer[i]);\\n if (renderTargetProperties.__webglDepthbuffer)\\n _gl.deleteRenderbuffer(renderTargetProperties.__webglDepthbuffer[i]);\\n }\\n } else {\\n _gl.deleteFramebuffer(renderTargetProperties.__webglFramebuffer);\\n if (renderTargetProperties.__webglDepthbuffer)\\n _gl.deleteRenderbuffer(renderTargetProperties.__webglDepthbuffer);\\n if (renderTargetProperties.__webglMultisampledFramebuffer)\\n _gl.deleteFramebuffer(renderTargetProperties.__webglMultisampledFramebuffer);\\n if (renderTargetProperties.__webglColorRenderbuffer)\\n _gl.deleteRenderbuffer(renderTargetProperties.__webglColorRenderbuffer);\\n if (renderTargetProperties.__webglDepthRenderbuffer)\\n _gl.deleteRenderbuffer(renderTargetProperties.__webglDepthRenderbuffer);\\n }\\n if (renderTarget.isWebGLMultipleRenderTargets) {\\n for (let i = 0, il = texture.length; i < il; i++) {\\n const attachmentProperties = properties.get(texture[i]);\\n if (attachmentProperties.__webglTexture) {\\n _gl.deleteTexture(attachmentProperties.__webglTexture);\\n info.memory.textures--;\\n }\\n properties.remove(texture[i]);\\n }\\n }\\n properties.remove(texture);\\n properties.remove(renderTarget);\\n }\\n let textureUnits = 0;\\n function resetTextureUnits() {\\n textureUnits = 0;\\n }\\n function allocateTextureUnit() {\\n const textureUnit = textureUnits;\\n if (textureUnit >= maxTextures) {\\n console.warn(\\\\\\\"THREE.WebGLTextures: Trying to use \\\\\\\" + textureUnit + \\\\\\\" texture units while this GPU supports only \\\\\\\" + maxTextures);\\n }\\n textureUnits += 1;\\n return textureUnit;\\n }\\n function setTexture2D(texture, slot) {\\n const textureProperties = properties.get(texture);\\n if (texture.isVideoTexture)\\n updateVideoTexture(texture);\\n if (texture.version > 0 && textureProperties.__version !== texture.version) {\\n const image = texture.image;\\n if (image === void 0) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Texture marked for update but image is undefined\\\\\\\");\\n } else if (image.complete === false) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Texture marked for update but image is incomplete\\\\\\\");\\n } else {\\n uploadTexture(textureProperties, texture, slot);\\n return;\\n }\\n }\\n state.activeTexture(_gl.TEXTURE0 + slot);\\n state.bindTexture(_gl.TEXTURE_2D, textureProperties.__webglTexture);\\n }\\n function setTexture2DArray(texture, slot) {\\n const textureProperties = properties.get(texture);\\n if (texture.version > 0 && textureProperties.__version !== texture.version) {\\n uploadTexture(textureProperties, texture, slot);\\n return;\\n }\\n state.activeTexture(_gl.TEXTURE0 + slot);\\n state.bindTexture(_gl.TEXTURE_2D_ARRAY, textureProperties.__webglTexture);\\n }\\n function setTexture3D(texture, slot) {\\n const textureProperties = properties.get(texture);\\n if (texture.version > 0 && textureProperties.__version !== texture.version) {\\n uploadTexture(textureProperties, texture, slot);\\n return;\\n }\\n state.activeTexture(_gl.TEXTURE0 + slot);\\n state.bindTexture(_gl.TEXTURE_3D, textureProperties.__webglTexture);\\n }\\n function setTextureCube(texture, slot) {\\n const textureProperties = properties.get(texture);\\n if (texture.version > 0 && textureProperties.__version !== texture.version) {\\n uploadCubeTexture(textureProperties, texture, slot);\\n return;\\n }\\n state.activeTexture(_gl.TEXTURE0 + slot);\\n state.bindTexture(_gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture);\\n }\\n const wrappingToGL = {\\n [RepeatWrapping]: _gl.REPEAT,\\n [ClampToEdgeWrapping]: _gl.CLAMP_TO_EDGE,\\n [MirroredRepeatWrapping]: _gl.MIRRORED_REPEAT\\n };\\n const filterToGL = {\\n [NearestFilter]: _gl.NEAREST,\\n [NearestMipmapNearestFilter]: _gl.NEAREST_MIPMAP_NEAREST,\\n [NearestMipmapLinearFilter]: _gl.NEAREST_MIPMAP_LINEAR,\\n [LinearFilter]: _gl.LINEAR,\\n [LinearMipmapNearestFilter]: _gl.LINEAR_MIPMAP_NEAREST,\\n [LinearMipmapLinearFilter]: _gl.LINEAR_MIPMAP_LINEAR\\n };\\n function setTextureParameters(textureType, texture, supportsMips) {\\n if (supportsMips) {\\n _gl.texParameteri(textureType, _gl.TEXTURE_WRAP_S, wrappingToGL[texture.wrapS]);\\n _gl.texParameteri(textureType, _gl.TEXTURE_WRAP_T, wrappingToGL[texture.wrapT]);\\n if (textureType === _gl.TEXTURE_3D || textureType === _gl.TEXTURE_2D_ARRAY) {\\n _gl.texParameteri(textureType, _gl.TEXTURE_WRAP_R, wrappingToGL[texture.wrapR]);\\n }\\n _gl.texParameteri(textureType, _gl.TEXTURE_MAG_FILTER, filterToGL[texture.magFilter]);\\n _gl.texParameteri(textureType, _gl.TEXTURE_MIN_FILTER, filterToGL[texture.minFilter]);\\n } else {\\n _gl.texParameteri(textureType, _gl.TEXTURE_WRAP_S, _gl.CLAMP_TO_EDGE);\\n _gl.texParameteri(textureType, _gl.TEXTURE_WRAP_T, _gl.CLAMP_TO_EDGE);\\n if (textureType === _gl.TEXTURE_3D || textureType === _gl.TEXTURE_2D_ARRAY) {\\n _gl.texParameteri(textureType, _gl.TEXTURE_WRAP_R, _gl.CLAMP_TO_EDGE);\\n }\\n if (texture.wrapS !== ClampToEdgeWrapping || texture.wrapT !== ClampToEdgeWrapping) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Texture is not power of two. Texture.wrapS and Texture.wrapT should be set to THREE.ClampToEdgeWrapping.\\\\\\\");\\n }\\n _gl.texParameteri(textureType, _gl.TEXTURE_MAG_FILTER, filterFallback(texture.magFilter));\\n _gl.texParameteri(textureType, _gl.TEXTURE_MIN_FILTER, filterFallback(texture.minFilter));\\n if (texture.minFilter !== NearestFilter && texture.minFilter !== LinearFilter) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Texture is not power of two. Texture.minFilter should be set to THREE.NearestFilter or THREE.LinearFilter.\\\\\\\");\\n }\\n }\\n if (extensions.has(\\\\\\\"EXT_texture_filter_anisotropic\\\\\\\") === true) {\\n const extension = extensions.get(\\\\\\\"EXT_texture_filter_anisotropic\\\\\\\");\\n if (texture.type === FloatType && extensions.has(\\\\\\\"OES_texture_float_linear\\\\\\\") === false)\\n return;\\n if (isWebGL2 === false && (texture.type === HalfFloatType && extensions.has(\\\\\\\"OES_texture_half_float_linear\\\\\\\") === false))\\n return;\\n if (texture.anisotropy > 1 || properties.get(texture).__currentAnisotropy) {\\n _gl.texParameterf(textureType, extension.TEXTURE_MAX_ANISOTROPY_EXT, Math.min(texture.anisotropy, capabilities.getMaxAnisotropy()));\\n properties.get(texture).__currentAnisotropy = texture.anisotropy;\\n }\\n }\\n }\\n function initTexture(textureProperties, texture) {\\n if (textureProperties.__webglInit === void 0) {\\n textureProperties.__webglInit = true;\\n texture.addEventListener(\\\\\\\"dispose\\\\\\\", onTextureDispose);\\n textureProperties.__webglTexture = _gl.createTexture();\\n info.memory.textures++;\\n }\\n }\\n function uploadTexture(textureProperties, texture, slot) {\\n let textureType = _gl.TEXTURE_2D;\\n if (texture.isDataTexture2DArray)\\n textureType = _gl.TEXTURE_2D_ARRAY;\\n if (texture.isDataTexture3D)\\n textureType = _gl.TEXTURE_3D;\\n initTexture(textureProperties, texture);\\n state.activeTexture(_gl.TEXTURE0 + slot);\\n state.bindTexture(textureType, textureProperties.__webglTexture);\\n _gl.pixelStorei(_gl.UNPACK_FLIP_Y_WEBGL, texture.flipY);\\n _gl.pixelStorei(_gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, texture.premultiplyAlpha);\\n _gl.pixelStorei(_gl.UNPACK_ALIGNMENT, texture.unpackAlignment);\\n _gl.pixelStorei(_gl.UNPACK_COLORSPACE_CONVERSION_WEBGL, _gl.NONE);\\n const needsPowerOfTwo = textureNeedsPowerOfTwo(texture) && isPowerOfTwo2(texture.image) === false;\\n const image = resizeImage(texture.image, needsPowerOfTwo, false, maxTextureSize);\\n const supportsMips = isPowerOfTwo2(image) || isWebGL2, glFormat = utils.convert(texture.format);\\n let glType = utils.convert(texture.type), glInternalFormat = getInternalFormat(texture.internalFormat, glFormat, glType, texture.encoding);\\n setTextureParameters(textureType, texture, supportsMips);\\n let mipmap;\\n const mipmaps = texture.mipmaps;\\n if (texture.isDepthTexture) {\\n glInternalFormat = _gl.DEPTH_COMPONENT;\\n if (isWebGL2) {\\n if (texture.type === FloatType) {\\n glInternalFormat = _gl.DEPTH_COMPONENT32F;\\n } else if (texture.type === UnsignedIntType) {\\n glInternalFormat = _gl.DEPTH_COMPONENT24;\\n } else if (texture.type === UnsignedInt248Type) {\\n glInternalFormat = _gl.DEPTH24_STENCIL8;\\n } else {\\n glInternalFormat = _gl.DEPTH_COMPONENT16;\\n }\\n } else {\\n if (texture.type === FloatType) {\\n console.error(\\\\\\\"WebGLRenderer: Floating point depth texture requires WebGL2.\\\\\\\");\\n }\\n }\\n if (texture.format === DepthFormat && glInternalFormat === _gl.DEPTH_COMPONENT) {\\n if (texture.type !== UnsignedShortType && texture.type !== UnsignedIntType) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Use UnsignedShortType or UnsignedIntType for DepthFormat DepthTexture.\\\\\\\");\\n texture.type = UnsignedShortType;\\n glType = utils.convert(texture.type);\\n }\\n }\\n if (texture.format === DepthStencilFormat && glInternalFormat === _gl.DEPTH_COMPONENT) {\\n glInternalFormat = _gl.DEPTH_STENCIL;\\n if (texture.type !== UnsignedInt248Type) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Use UnsignedInt248Type for DepthStencilFormat DepthTexture.\\\\\\\");\\n texture.type = UnsignedInt248Type;\\n glType = utils.convert(texture.type);\\n }\\n }\\n state.texImage2D(_gl.TEXTURE_2D, 0, glInternalFormat, image.width, image.height, 0, glFormat, glType, null);\\n } else if (texture.isDataTexture) {\\n if (mipmaps.length > 0 && supportsMips) {\\n for (let i = 0, il = mipmaps.length; i < il; i++) {\\n mipmap = mipmaps[i];\\n state.texImage2D(_gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data);\\n }\\n texture.generateMipmaps = false;\\n textureProperties.__maxMipLevel = mipmaps.length - 1;\\n } else {\\n state.texImage2D(_gl.TEXTURE_2D, 0, glInternalFormat, image.width, image.height, 0, glFormat, glType, image.data);\\n textureProperties.__maxMipLevel = 0;\\n }\\n } else if (texture.isCompressedTexture) {\\n for (let i = 0, il = mipmaps.length; i < il; i++) {\\n mipmap = mipmaps[i];\\n if (texture.format !== RGBAFormat && texture.format !== RGBFormat) {\\n if (glFormat !== null) {\\n state.compressedTexImage2D(_gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, mipmap.data);\\n } else {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .uploadTexture()\\\\\\\");\\n }\\n } else {\\n state.texImage2D(_gl.TEXTURE_2D, i, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data);\\n }\\n }\\n textureProperties.__maxMipLevel = mipmaps.length - 1;\\n } else if (texture.isDataTexture2DArray) {\\n state.texImage3D(_gl.TEXTURE_2D_ARRAY, 0, glInternalFormat, image.width, image.height, image.depth, 0, glFormat, glType, image.data);\\n textureProperties.__maxMipLevel = 0;\\n } else if (texture.isDataTexture3D) {\\n state.texImage3D(_gl.TEXTURE_3D, 0, glInternalFormat, image.width, image.height, image.depth, 0, glFormat, glType, image.data);\\n textureProperties.__maxMipLevel = 0;\\n } else {\\n if (mipmaps.length > 0 && supportsMips) {\\n for (let i = 0, il = mipmaps.length; i < il; i++) {\\n mipmap = mipmaps[i];\\n state.texImage2D(_gl.TEXTURE_2D, i, glInternalFormat, glFormat, glType, mipmap);\\n }\\n texture.generateMipmaps = false;\\n textureProperties.__maxMipLevel = mipmaps.length - 1;\\n } else {\\n state.texImage2D(_gl.TEXTURE_2D, 0, glInternalFormat, glFormat, glType, image);\\n textureProperties.__maxMipLevel = 0;\\n }\\n }\\n if (textureNeedsGenerateMipmaps(texture, supportsMips)) {\\n generateMipmap(textureType, texture, image.width, image.height);\\n }\\n textureProperties.__version = texture.version;\\n if (texture.onUpdate)\\n texture.onUpdate(texture);\\n }\\n function uploadCubeTexture(textureProperties, texture, slot) {\\n if (texture.image.length !== 6)\\n return;\\n initTexture(textureProperties, texture);\\n state.activeTexture(_gl.TEXTURE0 + slot);\\n state.bindTexture(_gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture);\\n _gl.pixelStorei(_gl.UNPACK_FLIP_Y_WEBGL, texture.flipY);\\n _gl.pixelStorei(_gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, texture.premultiplyAlpha);\\n _gl.pixelStorei(_gl.UNPACK_ALIGNMENT, texture.unpackAlignment);\\n _gl.pixelStorei(_gl.UNPACK_COLORSPACE_CONVERSION_WEBGL, _gl.NONE);\\n const isCompressed = texture && (texture.isCompressedTexture || texture.image[0].isCompressedTexture);\\n const isDataTexture = texture.image[0] && texture.image[0].isDataTexture;\\n const cubeImage = [];\\n for (let i = 0; i < 6; i++) {\\n if (!isCompressed && !isDataTexture) {\\n cubeImage[i] = resizeImage(texture.image[i], false, true, maxCubemapSize);\\n } else {\\n cubeImage[i] = isDataTexture ? texture.image[i].image : texture.image[i];\\n }\\n }\\n const image = cubeImage[0], supportsMips = isPowerOfTwo2(image) || isWebGL2, glFormat = utils.convert(texture.format), glType = utils.convert(texture.type), glInternalFormat = getInternalFormat(texture.internalFormat, glFormat, glType, texture.encoding);\\n setTextureParameters(_gl.TEXTURE_CUBE_MAP, texture, supportsMips);\\n let mipmaps;\\n if (isCompressed) {\\n for (let i = 0; i < 6; i++) {\\n mipmaps = cubeImage[i].mipmaps;\\n for (let j = 0; j < mipmaps.length; j++) {\\n const mipmap = mipmaps[j];\\n if (texture.format !== RGBAFormat && texture.format !== RGBFormat) {\\n if (glFormat !== null) {\\n state.compressedTexImage2D(_gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, glInternalFormat, mipmap.width, mipmap.height, 0, mipmap.data);\\n } else {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Attempt to load unsupported compressed texture format in .setTextureCube()\\\\\\\");\\n }\\n } else {\\n state.texImage2D(_gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j, glInternalFormat, mipmap.width, mipmap.height, 0, glFormat, glType, mipmap.data);\\n }\\n }\\n }\\n textureProperties.__maxMipLevel = mipmaps.length - 1;\\n } else {\\n mipmaps = texture.mipmaps;\\n for (let i = 0; i < 6; i++) {\\n if (isDataTexture) {\\n state.texImage2D(_gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, glInternalFormat, cubeImage[i].width, cubeImage[i].height, 0, glFormat, glType, cubeImage[i].data);\\n for (let j = 0; j < mipmaps.length; j++) {\\n const mipmap = mipmaps[j];\\n const mipmapImage = mipmap.image[i].image;\\n state.texImage2D(_gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, glInternalFormat, mipmapImage.width, mipmapImage.height, 0, glFormat, glType, mipmapImage.data);\\n }\\n } else {\\n state.texImage2D(_gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, 0, glInternalFormat, glFormat, glType, cubeImage[i]);\\n for (let j = 0; j < mipmaps.length; j++) {\\n const mipmap = mipmaps[j];\\n state.texImage2D(_gl.TEXTURE_CUBE_MAP_POSITIVE_X + i, j + 1, glInternalFormat, glFormat, glType, mipmap.image[i]);\\n }\\n }\\n }\\n textureProperties.__maxMipLevel = mipmaps.length;\\n }\\n if (textureNeedsGenerateMipmaps(texture, supportsMips)) {\\n generateMipmap(_gl.TEXTURE_CUBE_MAP, texture, image.width, image.height);\\n }\\n textureProperties.__version = texture.version;\\n if (texture.onUpdate)\\n texture.onUpdate(texture);\\n }\\n function setupFrameBufferTexture(framebuffer, renderTarget, texture, attachment, textureTarget) {\\n const glFormat = utils.convert(texture.format);\\n const glType = utils.convert(texture.type);\\n const glInternalFormat = getInternalFormat(texture.internalFormat, glFormat, glType, texture.encoding);\\n if (textureTarget === _gl.TEXTURE_3D || textureTarget === _gl.TEXTURE_2D_ARRAY) {\\n state.texImage3D(textureTarget, 0, glInternalFormat, renderTarget.width, renderTarget.height, renderTarget.depth, 0, glFormat, glType, null);\\n } else {\\n state.texImage2D(textureTarget, 0, glInternalFormat, renderTarget.width, renderTarget.height, 0, glFormat, glType, null);\\n }\\n state.bindFramebuffer(_gl.FRAMEBUFFER, framebuffer);\\n _gl.framebufferTexture2D(_gl.FRAMEBUFFER, attachment, textureTarget, properties.get(texture).__webglTexture, 0);\\n state.bindFramebuffer(_gl.FRAMEBUFFER, null);\\n }\\n function setupRenderBufferStorage(renderbuffer, renderTarget, isMultisample) {\\n _gl.bindRenderbuffer(_gl.RENDERBUFFER, renderbuffer);\\n if (renderTarget.depthBuffer && !renderTarget.stencilBuffer) {\\n let glInternalFormat = _gl.DEPTH_COMPONENT16;\\n if (isMultisample) {\\n const depthTexture = renderTarget.depthTexture;\\n if (depthTexture && depthTexture.isDepthTexture) {\\n if (depthTexture.type === FloatType) {\\n glInternalFormat = _gl.DEPTH_COMPONENT32F;\\n } else if (depthTexture.type === UnsignedIntType) {\\n glInternalFormat = _gl.DEPTH_COMPONENT24;\\n }\\n }\\n const samples = getRenderTargetSamples(renderTarget);\\n _gl.renderbufferStorageMultisample(_gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height);\\n } else {\\n _gl.renderbufferStorage(_gl.RENDERBUFFER, glInternalFormat, renderTarget.width, renderTarget.height);\\n }\\n _gl.framebufferRenderbuffer(_gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.RENDERBUFFER, renderbuffer);\\n } else if (renderTarget.depthBuffer && renderTarget.stencilBuffer) {\\n if (isMultisample) {\\n const samples = getRenderTargetSamples(renderTarget);\\n _gl.renderbufferStorageMultisample(_gl.RENDERBUFFER, samples, _gl.DEPTH24_STENCIL8, renderTarget.width, renderTarget.height);\\n } else {\\n _gl.renderbufferStorage(_gl.RENDERBUFFER, _gl.DEPTH_STENCIL, renderTarget.width, renderTarget.height);\\n }\\n _gl.framebufferRenderbuffer(_gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.RENDERBUFFER, renderbuffer);\\n } else {\\n const texture = renderTarget.isWebGLMultipleRenderTargets === true ? renderTarget.texture[0] : renderTarget.texture;\\n const glFormat = utils.convert(texture.format);\\n const glType = utils.convert(texture.type);\\n const glInternalFormat = getInternalFormat(texture.internalFormat, glFormat, glType, texture.encoding);\\n if (isMultisample) {\\n const samples = getRenderTargetSamples(renderTarget);\\n _gl.renderbufferStorageMultisample(_gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height);\\n } else {\\n _gl.renderbufferStorage(_gl.RENDERBUFFER, glInternalFormat, renderTarget.width, renderTarget.height);\\n }\\n }\\n _gl.bindRenderbuffer(_gl.RENDERBUFFER, null);\\n }\\n function setupDepthTexture(framebuffer, renderTarget) {\\n const isCube = renderTarget && renderTarget.isWebGLCubeRenderTarget;\\n if (isCube)\\n throw new Error(\\\\\\\"Depth Texture with cube render targets is not supported\\\\\\\");\\n state.bindFramebuffer(_gl.FRAMEBUFFER, framebuffer);\\n if (!(renderTarget.depthTexture && renderTarget.depthTexture.isDepthTexture)) {\\n throw new Error(\\\\\\\"renderTarget.depthTexture must be an instance of THREE.DepthTexture\\\\\\\");\\n }\\n if (!properties.get(renderTarget.depthTexture).__webglTexture || renderTarget.depthTexture.image.width !== renderTarget.width || renderTarget.depthTexture.image.height !== renderTarget.height) {\\n renderTarget.depthTexture.image.width = renderTarget.width;\\n renderTarget.depthTexture.image.height = renderTarget.height;\\n renderTarget.depthTexture.needsUpdate = true;\\n }\\n setTexture2D(renderTarget.depthTexture, 0);\\n const webglDepthTexture = properties.get(renderTarget.depthTexture).__webglTexture;\\n if (renderTarget.depthTexture.format === DepthFormat) {\\n _gl.framebufferTexture2D(_gl.FRAMEBUFFER, _gl.DEPTH_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0);\\n } else if (renderTarget.depthTexture.format === DepthStencilFormat) {\\n _gl.framebufferTexture2D(_gl.FRAMEBUFFER, _gl.DEPTH_STENCIL_ATTACHMENT, _gl.TEXTURE_2D, webglDepthTexture, 0);\\n } else {\\n throw new Error(\\\\\\\"Unknown depthTexture format\\\\\\\");\\n }\\n }\\n function setupDepthRenderbuffer(renderTarget) {\\n const renderTargetProperties = properties.get(renderTarget);\\n const isCube = renderTarget.isWebGLCubeRenderTarget === true;\\n if (renderTarget.depthTexture) {\\n if (isCube)\\n throw new Error(\\\\\\\"target.depthTexture not supported in Cube render targets\\\\\\\");\\n setupDepthTexture(renderTargetProperties.__webglFramebuffer, renderTarget);\\n } else {\\n if (isCube) {\\n renderTargetProperties.__webglDepthbuffer = [];\\n for (let i = 0; i < 6; i++) {\\n state.bindFramebuffer(_gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer[i]);\\n renderTargetProperties.__webglDepthbuffer[i] = _gl.createRenderbuffer();\\n setupRenderBufferStorage(renderTargetProperties.__webglDepthbuffer[i], renderTarget, false);\\n }\\n } else {\\n state.bindFramebuffer(_gl.FRAMEBUFFER, renderTargetProperties.__webglFramebuffer);\\n renderTargetProperties.__webglDepthbuffer = _gl.createRenderbuffer();\\n setupRenderBufferStorage(renderTargetProperties.__webglDepthbuffer, renderTarget, false);\\n }\\n }\\n state.bindFramebuffer(_gl.FRAMEBUFFER, null);\\n }\\n function setupRenderTarget(renderTarget) {\\n const texture = renderTarget.texture;\\n const renderTargetProperties = properties.get(renderTarget);\\n const textureProperties = properties.get(texture);\\n renderTarget.addEventListener(\\\\\\\"dispose\\\\\\\", onRenderTargetDispose);\\n if (renderTarget.isWebGLMultipleRenderTargets !== true) {\\n textureProperties.__webglTexture = _gl.createTexture();\\n textureProperties.__version = texture.version;\\n info.memory.textures++;\\n }\\n const isCube = renderTarget.isWebGLCubeRenderTarget === true;\\n const isMultipleRenderTargets = renderTarget.isWebGLMultipleRenderTargets === true;\\n const isMultisample = renderTarget.isWebGLMultisampleRenderTarget === true;\\n const isRenderTarget3D = texture.isDataTexture3D || texture.isDataTexture2DArray;\\n const supportsMips = isPowerOfTwo2(renderTarget) || isWebGL2;\\n if (isWebGL2 && texture.format === RGBFormat && (texture.type === FloatType || texture.type === HalfFloatType)) {\\n texture.format = RGBAFormat;\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Rendering to textures with RGB format is not supported. Using RGBA format instead.\\\\\\\");\\n }\\n if (isCube) {\\n renderTargetProperties.__webglFramebuffer = [];\\n for (let i = 0; i < 6; i++) {\\n renderTargetProperties.__webglFramebuffer[i] = _gl.createFramebuffer();\\n }\\n } else {\\n renderTargetProperties.__webglFramebuffer = _gl.createFramebuffer();\\n if (isMultipleRenderTargets) {\\n if (capabilities.drawBuffers) {\\n const textures = renderTarget.texture;\\n for (let i = 0, il = textures.length; i < il; i++) {\\n const attachmentProperties = properties.get(textures[i]);\\n if (attachmentProperties.__webglTexture === void 0) {\\n attachmentProperties.__webglTexture = _gl.createTexture();\\n info.memory.textures++;\\n }\\n }\\n } else {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: WebGLMultipleRenderTargets can only be used with WebGL2 or WEBGL_draw_buffers extension.\\\\\\\");\\n }\\n } else if (isMultisample) {\\n if (isWebGL2) {\\n renderTargetProperties.__webglMultisampledFramebuffer = _gl.createFramebuffer();\\n renderTargetProperties.__webglColorRenderbuffer = _gl.createRenderbuffer();\\n _gl.bindRenderbuffer(_gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer);\\n const glFormat = utils.convert(texture.format);\\n const glType = utils.convert(texture.type);\\n const glInternalFormat = getInternalFormat(texture.internalFormat, glFormat, glType, texture.encoding);\\n const samples = getRenderTargetSamples(renderTarget);\\n _gl.renderbufferStorageMultisample(_gl.RENDERBUFFER, samples, glInternalFormat, renderTarget.width, renderTarget.height);\\n state.bindFramebuffer(_gl.FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer);\\n _gl.framebufferRenderbuffer(_gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.RENDERBUFFER, renderTargetProperties.__webglColorRenderbuffer);\\n _gl.bindRenderbuffer(_gl.RENDERBUFFER, null);\\n if (renderTarget.depthBuffer) {\\n renderTargetProperties.__webglDepthRenderbuffer = _gl.createRenderbuffer();\\n setupRenderBufferStorage(renderTargetProperties.__webglDepthRenderbuffer, renderTarget, true);\\n }\\n state.bindFramebuffer(_gl.FRAMEBUFFER, null);\\n } else {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: WebGLMultisampleRenderTarget can only be used with WebGL2.\\\\\\\");\\n }\\n }\\n }\\n if (isCube) {\\n state.bindTexture(_gl.TEXTURE_CUBE_MAP, textureProperties.__webglTexture);\\n setTextureParameters(_gl.TEXTURE_CUBE_MAP, texture, supportsMips);\\n for (let i = 0; i < 6; i++) {\\n setupFrameBufferTexture(renderTargetProperties.__webglFramebuffer[i], renderTarget, texture, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + i);\\n }\\n if (textureNeedsGenerateMipmaps(texture, supportsMips)) {\\n generateMipmap(_gl.TEXTURE_CUBE_MAP, texture, renderTarget.width, renderTarget.height);\\n }\\n state.unbindTexture();\\n } else if (isMultipleRenderTargets) {\\n const textures = renderTarget.texture;\\n for (let i = 0, il = textures.length; i < il; i++) {\\n const attachment = textures[i];\\n const attachmentProperties = properties.get(attachment);\\n state.bindTexture(_gl.TEXTURE_2D, attachmentProperties.__webglTexture);\\n setTextureParameters(_gl.TEXTURE_2D, attachment, supportsMips);\\n setupFrameBufferTexture(renderTargetProperties.__webglFramebuffer, renderTarget, attachment, _gl.COLOR_ATTACHMENT0 + i, _gl.TEXTURE_2D);\\n if (textureNeedsGenerateMipmaps(attachment, supportsMips)) {\\n generateMipmap(_gl.TEXTURE_2D, attachment, renderTarget.width, renderTarget.height);\\n }\\n }\\n state.unbindTexture();\\n } else {\\n let glTextureType = _gl.TEXTURE_2D;\\n if (isRenderTarget3D) {\\n if (isWebGL2) {\\n const isTexture3D = texture.isDataTexture3D;\\n glTextureType = isTexture3D ? _gl.TEXTURE_3D : _gl.TEXTURE_2D_ARRAY;\\n } else {\\n console.warn(\\\\\\\"THREE.DataTexture3D and THREE.DataTexture2DArray only supported with WebGL2.\\\\\\\");\\n }\\n }\\n state.bindTexture(glTextureType, textureProperties.__webglTexture);\\n setTextureParameters(glTextureType, texture, supportsMips);\\n setupFrameBufferTexture(renderTargetProperties.__webglFramebuffer, renderTarget, texture, _gl.COLOR_ATTACHMENT0, glTextureType);\\n if (textureNeedsGenerateMipmaps(texture, supportsMips)) {\\n generateMipmap(glTextureType, texture, renderTarget.width, renderTarget.height, renderTarget.depth);\\n }\\n state.unbindTexture();\\n }\\n if (renderTarget.depthBuffer) {\\n setupDepthRenderbuffer(renderTarget);\\n }\\n }\\n function updateRenderTargetMipmap(renderTarget) {\\n const supportsMips = isPowerOfTwo2(renderTarget) || isWebGL2;\\n const textures = renderTarget.isWebGLMultipleRenderTargets === true ? renderTarget.texture : [renderTarget.texture];\\n for (let i = 0, il = textures.length; i < il; i++) {\\n const texture = textures[i];\\n if (textureNeedsGenerateMipmaps(texture, supportsMips)) {\\n const target = renderTarget.isWebGLCubeRenderTarget ? _gl.TEXTURE_CUBE_MAP : _gl.TEXTURE_2D;\\n const webglTexture = properties.get(texture).__webglTexture;\\n state.bindTexture(target, webglTexture);\\n generateMipmap(target, texture, renderTarget.width, renderTarget.height);\\n state.unbindTexture();\\n }\\n }\\n }\\n function updateMultisampleRenderTarget(renderTarget) {\\n if (renderTarget.isWebGLMultisampleRenderTarget) {\\n if (isWebGL2) {\\n const width = renderTarget.width;\\n const height = renderTarget.height;\\n let mask = _gl.COLOR_BUFFER_BIT;\\n if (renderTarget.depthBuffer)\\n mask |= _gl.DEPTH_BUFFER_BIT;\\n if (renderTarget.stencilBuffer)\\n mask |= _gl.STENCIL_BUFFER_BIT;\\n const renderTargetProperties = properties.get(renderTarget);\\n state.bindFramebuffer(_gl.READ_FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer);\\n state.bindFramebuffer(_gl.DRAW_FRAMEBUFFER, renderTargetProperties.__webglFramebuffer);\\n _gl.blitFramebuffer(0, 0, width, height, 0, 0, width, height, mask, _gl.NEAREST);\\n state.bindFramebuffer(_gl.READ_FRAMEBUFFER, null);\\n state.bindFramebuffer(_gl.DRAW_FRAMEBUFFER, renderTargetProperties.__webglMultisampledFramebuffer);\\n } else {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: WebGLMultisampleRenderTarget can only be used with WebGL2.\\\\\\\");\\n }\\n }\\n }\\n function getRenderTargetSamples(renderTarget) {\\n return isWebGL2 && renderTarget.isWebGLMultisampleRenderTarget ? Math.min(maxSamples, renderTarget.samples) : 0;\\n }\\n function updateVideoTexture(texture) {\\n const frame = info.render.frame;\\n if (_videoTextures.get(texture) !== frame) {\\n _videoTextures.set(texture, frame);\\n texture.update();\\n }\\n }\\n let warnedTexture2D = false;\\n let warnedTextureCube = false;\\n function safeSetTexture2D(texture, slot) {\\n if (texture && texture.isWebGLRenderTarget) {\\n if (warnedTexture2D === false) {\\n console.warn(\\\\\\\"THREE.WebGLTextures.safeSetTexture2D: don't use render targets as textures. Use their .texture property instead.\\\\\\\");\\n warnedTexture2D = true;\\n }\\n texture = texture.texture;\\n }\\n setTexture2D(texture, slot);\\n }\\n function safeSetTextureCube(texture, slot) {\\n if (texture && texture.isWebGLCubeRenderTarget) {\\n if (warnedTextureCube === false) {\\n console.warn(\\\\\\\"THREE.WebGLTextures.safeSetTextureCube: don't use cube render targets as textures. Use their .texture property instead.\\\\\\\");\\n warnedTextureCube = true;\\n }\\n texture = texture.texture;\\n }\\n setTextureCube(texture, slot);\\n }\\n this.allocateTextureUnit = allocateTextureUnit;\\n this.resetTextureUnits = resetTextureUnits;\\n this.setTexture2D = setTexture2D;\\n this.setTexture2DArray = setTexture2DArray;\\n this.setTexture3D = setTexture3D;\\n this.setTextureCube = setTextureCube;\\n this.setupRenderTarget = setupRenderTarget;\\n this.updateRenderTargetMipmap = updateRenderTargetMipmap;\\n this.updateMultisampleRenderTarget = updateMultisampleRenderTarget;\\n this.safeSetTexture2D = safeSetTexture2D;\\n this.safeSetTextureCube = safeSetTextureCube;\\n}\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLUtils.js\\nfunction WebGLUtils(gl, extensions, capabilities) {\\n const isWebGL2 = capabilities.isWebGL2;\\n function convert(p) {\\n let extension;\\n if (p === UnsignedByteType)\\n return gl.UNSIGNED_BYTE;\\n if (p === UnsignedShort4444Type)\\n return gl.UNSIGNED_SHORT_4_4_4_4;\\n if (p === UnsignedShort5551Type)\\n return gl.UNSIGNED_SHORT_5_5_5_1;\\n if (p === UnsignedShort565Type)\\n return gl.UNSIGNED_SHORT_5_6_5;\\n if (p === ByteType)\\n return gl.BYTE;\\n if (p === ShortType)\\n return gl.SHORT;\\n if (p === UnsignedShortType)\\n return gl.UNSIGNED_SHORT;\\n if (p === IntType)\\n return gl.INT;\\n if (p === UnsignedIntType)\\n return gl.UNSIGNED_INT;\\n if (p === FloatType)\\n return gl.FLOAT;\\n if (p === HalfFloatType) {\\n if (isWebGL2)\\n return gl.HALF_FLOAT;\\n extension = extensions.get(\\\\\\\"OES_texture_half_float\\\\\\\");\\n if (extension !== null) {\\n return extension.HALF_FLOAT_OES;\\n } else {\\n return null;\\n }\\n }\\n if (p === AlphaFormat)\\n return gl.ALPHA;\\n if (p === RGBFormat)\\n return gl.RGB;\\n if (p === RGBAFormat)\\n return gl.RGBA;\\n if (p === LuminanceFormat)\\n return gl.LUMINANCE;\\n if (p === LuminanceAlphaFormat)\\n return gl.LUMINANCE_ALPHA;\\n if (p === DepthFormat)\\n return gl.DEPTH_COMPONENT;\\n if (p === DepthStencilFormat)\\n return gl.DEPTH_STENCIL;\\n if (p === RedFormat)\\n return gl.RED;\\n if (p === RedIntegerFormat)\\n return gl.RED_INTEGER;\\n if (p === RGFormat)\\n return gl.RG;\\n if (p === RGIntegerFormat)\\n return gl.RG_INTEGER;\\n if (p === RGBIntegerFormat)\\n return gl.RGB_INTEGER;\\n if (p === RGBAIntegerFormat)\\n return gl.RGBA_INTEGER;\\n if (p === RGB_S3TC_DXT1_Format || p === RGBA_S3TC_DXT1_Format || p === RGBA_S3TC_DXT3_Format || p === RGBA_S3TC_DXT5_Format) {\\n extension = extensions.get(\\\\\\\"WEBGL_compressed_texture_s3tc\\\\\\\");\\n if (extension !== null) {\\n if (p === RGB_S3TC_DXT1_Format)\\n return extension.COMPRESSED_RGB_S3TC_DXT1_EXT;\\n if (p === RGBA_S3TC_DXT1_Format)\\n return extension.COMPRESSED_RGBA_S3TC_DXT1_EXT;\\n if (p === RGBA_S3TC_DXT3_Format)\\n return extension.COMPRESSED_RGBA_S3TC_DXT3_EXT;\\n if (p === RGBA_S3TC_DXT5_Format)\\n return extension.COMPRESSED_RGBA_S3TC_DXT5_EXT;\\n } else {\\n return null;\\n }\\n }\\n if (p === RGB_PVRTC_4BPPV1_Format || p === RGB_PVRTC_2BPPV1_Format || p === RGBA_PVRTC_4BPPV1_Format || p === RGBA_PVRTC_2BPPV1_Format) {\\n extension = extensions.get(\\\\\\\"WEBGL_compressed_texture_pvrtc\\\\\\\");\\n if (extension !== null) {\\n if (p === RGB_PVRTC_4BPPV1_Format)\\n return extension.COMPRESSED_RGB_PVRTC_4BPPV1_IMG;\\n if (p === RGB_PVRTC_2BPPV1_Format)\\n return extension.COMPRESSED_RGB_PVRTC_2BPPV1_IMG;\\n if (p === RGBA_PVRTC_4BPPV1_Format)\\n return extension.COMPRESSED_RGBA_PVRTC_4BPPV1_IMG;\\n if (p === RGBA_PVRTC_2BPPV1_Format)\\n return extension.COMPRESSED_RGBA_PVRTC_2BPPV1_IMG;\\n } else {\\n return null;\\n }\\n }\\n if (p === RGB_ETC1_Format) {\\n extension = extensions.get(\\\\\\\"WEBGL_compressed_texture_etc1\\\\\\\");\\n if (extension !== null) {\\n return extension.COMPRESSED_RGB_ETC1_WEBGL;\\n } else {\\n return null;\\n }\\n }\\n if (p === RGB_ETC2_Format || p === RGBA_ETC2_EAC_Format) {\\n extension = extensions.get(\\\\\\\"WEBGL_compressed_texture_etc\\\\\\\");\\n if (extension !== null) {\\n if (p === RGB_ETC2_Format)\\n return extension.COMPRESSED_RGB8_ETC2;\\n if (p === RGBA_ETC2_EAC_Format)\\n return extension.COMPRESSED_RGBA8_ETC2_EAC;\\n }\\n }\\n if (p === RGBA_ASTC_4x4_Format || p === RGBA_ASTC_5x4_Format || p === RGBA_ASTC_5x5_Format || p === RGBA_ASTC_6x5_Format || p === RGBA_ASTC_6x6_Format || p === RGBA_ASTC_8x5_Format || p === RGBA_ASTC_8x6_Format || p === RGBA_ASTC_8x8_Format || p === RGBA_ASTC_10x5_Format || p === RGBA_ASTC_10x6_Format || p === RGBA_ASTC_10x8_Format || p === RGBA_ASTC_10x10_Format || p === RGBA_ASTC_12x10_Format || p === RGBA_ASTC_12x12_Format || p === SRGB8_ALPHA8_ASTC_4x4_Format || p === SRGB8_ALPHA8_ASTC_5x4_Format || p === SRGB8_ALPHA8_ASTC_5x5_Format || p === SRGB8_ALPHA8_ASTC_6x5_Format || p === SRGB8_ALPHA8_ASTC_6x6_Format || p === SRGB8_ALPHA8_ASTC_8x5_Format || p === SRGB8_ALPHA8_ASTC_8x6_Format || p === SRGB8_ALPHA8_ASTC_8x8_Format || p === SRGB8_ALPHA8_ASTC_10x5_Format || p === SRGB8_ALPHA8_ASTC_10x6_Format || p === SRGB8_ALPHA8_ASTC_10x8_Format || p === SRGB8_ALPHA8_ASTC_10x10_Format || p === SRGB8_ALPHA8_ASTC_12x10_Format || p === SRGB8_ALPHA8_ASTC_12x12_Format) {\\n extension = extensions.get(\\\\\\\"WEBGL_compressed_texture_astc\\\\\\\");\\n if (extension !== null) {\\n return p;\\n } else {\\n return null;\\n }\\n }\\n if (p === RGBA_BPTC_Format) {\\n extension = extensions.get(\\\\\\\"EXT_texture_compression_bptc\\\\\\\");\\n if (extension !== null) {\\n return p;\\n } else {\\n return null;\\n }\\n }\\n if (p === UnsignedInt248Type) {\\n if (isWebGL2)\\n return gl.UNSIGNED_INT_24_8;\\n extension = extensions.get(\\\\\\\"WEBGL_depth_texture\\\\\\\");\\n if (extension !== null) {\\n return extension.UNSIGNED_INT_24_8_WEBGL;\\n } else {\\n return null;\\n }\\n }\\n }\\n return {convert};\\n}\\n\\n// ../../../node_modules/three/src/cameras/ArrayCamera.js\\nvar ArrayCamera = class extends PerspectiveCamera {\\n constructor(array = []) {\\n super();\\n this.cameras = array;\\n }\\n};\\nArrayCamera.prototype.isArrayCamera = true;\\n\\n// ../../../node_modules/three/src/objects/Group.js\\nvar Group = class extends Object3D {\\n constructor() {\\n super();\\n this.type = \\\\\\\"Group\\\\\\\";\\n }\\n};\\nGroup.prototype.isGroup = true;\\n\\n// ../../../node_modules/three/src/renderers/webxr/WebXRController.js\\nvar _moveEvent = {type: \\\\\\\"move\\\\\\\"};\\nvar WebXRController = class {\\n constructor() {\\n this._targetRay = null;\\n this._grip = null;\\n this._hand = null;\\n }\\n getHandSpace() {\\n if (this._hand === null) {\\n this._hand = new Group();\\n this._hand.matrixAutoUpdate = false;\\n this._hand.visible = false;\\n this._hand.joints = {};\\n this._hand.inputState = {pinching: false};\\n }\\n return this._hand;\\n }\\n getTargetRaySpace() {\\n if (this._targetRay === null) {\\n this._targetRay = new Group();\\n this._targetRay.matrixAutoUpdate = false;\\n this._targetRay.visible = false;\\n this._targetRay.hasLinearVelocity = false;\\n this._targetRay.linearVelocity = new Vector3();\\n this._targetRay.hasAngularVelocity = false;\\n this._targetRay.angularVelocity = new Vector3();\\n }\\n return this._targetRay;\\n }\\n getGripSpace() {\\n if (this._grip === null) {\\n this._grip = new Group();\\n this._grip.matrixAutoUpdate = false;\\n this._grip.visible = false;\\n this._grip.hasLinearVelocity = false;\\n this._grip.linearVelocity = new Vector3();\\n this._grip.hasAngularVelocity = false;\\n this._grip.angularVelocity = new Vector3();\\n }\\n return this._grip;\\n }\\n dispatchEvent(event) {\\n if (this._targetRay !== null) {\\n this._targetRay.dispatchEvent(event);\\n }\\n if (this._grip !== null) {\\n this._grip.dispatchEvent(event);\\n }\\n if (this._hand !== null) {\\n this._hand.dispatchEvent(event);\\n }\\n return this;\\n }\\n disconnect(inputSource) {\\n this.dispatchEvent({type: \\\\\\\"disconnected\\\\\\\", data: inputSource});\\n if (this._targetRay !== null) {\\n this._targetRay.visible = false;\\n }\\n if (this._grip !== null) {\\n this._grip.visible = false;\\n }\\n if (this._hand !== null) {\\n this._hand.visible = false;\\n }\\n return this;\\n }\\n update(inputSource, frame, referenceSpace) {\\n let inputPose = null;\\n let gripPose = null;\\n let handPose = null;\\n const targetRay = this._targetRay;\\n const grip = this._grip;\\n const hand = this._hand;\\n if (inputSource && frame.session.visibilityState !== \\\\\\\"visible-blurred\\\\\\\") {\\n if (targetRay !== null) {\\n inputPose = frame.getPose(inputSource.targetRaySpace, referenceSpace);\\n if (inputPose !== null) {\\n targetRay.matrix.fromArray(inputPose.transform.matrix);\\n targetRay.matrix.decompose(targetRay.position, targetRay.rotation, targetRay.scale);\\n if (inputPose.linearVelocity) {\\n targetRay.hasLinearVelocity = true;\\n targetRay.linearVelocity.copy(inputPose.linearVelocity);\\n } else {\\n targetRay.hasLinearVelocity = false;\\n }\\n if (inputPose.angularVelocity) {\\n targetRay.hasAngularVelocity = true;\\n targetRay.angularVelocity.copy(inputPose.angularVelocity);\\n } else {\\n targetRay.hasAngularVelocity = false;\\n }\\n this.dispatchEvent(_moveEvent);\\n }\\n }\\n if (hand && inputSource.hand) {\\n handPose = true;\\n for (const inputjoint of inputSource.hand.values()) {\\n const jointPose = frame.getJointPose(inputjoint, referenceSpace);\\n if (hand.joints[inputjoint.jointName] === void 0) {\\n const joint2 = new Group();\\n joint2.matrixAutoUpdate = false;\\n joint2.visible = false;\\n hand.joints[inputjoint.jointName] = joint2;\\n hand.add(joint2);\\n }\\n const joint = hand.joints[inputjoint.jointName];\\n if (jointPose !== null) {\\n joint.matrix.fromArray(jointPose.transform.matrix);\\n joint.matrix.decompose(joint.position, joint.rotation, joint.scale);\\n joint.jointRadius = jointPose.radius;\\n }\\n joint.visible = jointPose !== null;\\n }\\n const indexTip = hand.joints[\\\\\\\"index-finger-tip\\\\\\\"];\\n const thumbTip = hand.joints[\\\\\\\"thumb-tip\\\\\\\"];\\n const distance = indexTip.position.distanceTo(thumbTip.position);\\n const distanceToPinch = 0.02;\\n const threshold = 5e-3;\\n if (hand.inputState.pinching && distance > distanceToPinch + threshold) {\\n hand.inputState.pinching = false;\\n this.dispatchEvent({\\n type: \\\\\\\"pinchend\\\\\\\",\\n handedness: inputSource.handedness,\\n target: this\\n });\\n } else if (!hand.inputState.pinching && distance <= distanceToPinch - threshold) {\\n hand.inputState.pinching = true;\\n this.dispatchEvent({\\n type: \\\\\\\"pinchstart\\\\\\\",\\n handedness: inputSource.handedness,\\n target: this\\n });\\n }\\n } else {\\n if (grip !== null && inputSource.gripSpace) {\\n gripPose = frame.getPose(inputSource.gripSpace, referenceSpace);\\n if (gripPose !== null) {\\n grip.matrix.fromArray(gripPose.transform.matrix);\\n grip.matrix.decompose(grip.position, grip.rotation, grip.scale);\\n if (gripPose.linearVelocity) {\\n grip.hasLinearVelocity = true;\\n grip.linearVelocity.copy(gripPose.linearVelocity);\\n } else {\\n grip.hasLinearVelocity = false;\\n }\\n if (gripPose.angularVelocity) {\\n grip.hasAngularVelocity = true;\\n grip.angularVelocity.copy(gripPose.angularVelocity);\\n } else {\\n grip.hasAngularVelocity = false;\\n }\\n }\\n }\\n }\\n }\\n if (targetRay !== null) {\\n targetRay.visible = inputPose !== null;\\n }\\n if (grip !== null) {\\n grip.visible = gripPose !== null;\\n }\\n if (hand !== null) {\\n hand.visible = handPose !== null;\\n }\\n return this;\\n }\\n};\\n\\n// ../../../node_modules/three/src/renderers/webxr/WebXRManager.js\\nvar WebXRManager = class extends EventDispatcher {\\n constructor(renderer, gl) {\\n super();\\n const scope = this;\\n const state = renderer.state;\\n let session = null;\\n let framebufferScaleFactor = 1;\\n let referenceSpace = null;\\n let referenceSpaceType = \\\\\\\"local-floor\\\\\\\";\\n let pose = null;\\n let glBinding = null;\\n let glFramebuffer = null;\\n let glProjLayer = null;\\n let glBaseLayer = null;\\n let isMultisample = false;\\n let glMultisampledFramebuffer = null;\\n let glColorRenderbuffer = null;\\n let glDepthRenderbuffer = null;\\n let xrFrame = null;\\n let depthStyle = null;\\n let clearStyle = null;\\n const controllers = [];\\n const inputSourcesMap = new Map();\\n const cameraL = new PerspectiveCamera();\\n cameraL.layers.enable(1);\\n cameraL.viewport = new Vector4();\\n const cameraR = new PerspectiveCamera();\\n cameraR.layers.enable(2);\\n cameraR.viewport = new Vector4();\\n const cameras = [cameraL, cameraR];\\n const cameraVR = new ArrayCamera();\\n cameraVR.layers.enable(1);\\n cameraVR.layers.enable(2);\\n let _currentDepthNear = null;\\n let _currentDepthFar = null;\\n this.cameraAutoUpdate = true;\\n this.enabled = false;\\n this.isPresenting = false;\\n this.getController = function(index) {\\n let controller = controllers[index];\\n if (controller === void 0) {\\n controller = new WebXRController();\\n controllers[index] = controller;\\n }\\n return controller.getTargetRaySpace();\\n };\\n this.getControllerGrip = function(index) {\\n let controller = controllers[index];\\n if (controller === void 0) {\\n controller = new WebXRController();\\n controllers[index] = controller;\\n }\\n return controller.getGripSpace();\\n };\\n this.getHand = function(index) {\\n let controller = controllers[index];\\n if (controller === void 0) {\\n controller = new WebXRController();\\n controllers[index] = controller;\\n }\\n return controller.getHandSpace();\\n };\\n function onSessionEvent(event) {\\n const controller = inputSourcesMap.get(event.inputSource);\\n if (controller) {\\n controller.dispatchEvent({type: event.type, data: event.inputSource});\\n }\\n }\\n function onSessionEnd() {\\n inputSourcesMap.forEach(function(controller, inputSource) {\\n controller.disconnect(inputSource);\\n });\\n inputSourcesMap.clear();\\n _currentDepthNear = null;\\n _currentDepthFar = null;\\n state.bindXRFramebuffer(null);\\n renderer.setRenderTarget(renderer.getRenderTarget());\\n if (glFramebuffer)\\n gl.deleteFramebuffer(glFramebuffer);\\n if (glMultisampledFramebuffer)\\n gl.deleteFramebuffer(glMultisampledFramebuffer);\\n if (glColorRenderbuffer)\\n gl.deleteRenderbuffer(glColorRenderbuffer);\\n if (glDepthRenderbuffer)\\n gl.deleteRenderbuffer(glDepthRenderbuffer);\\n glFramebuffer = null;\\n glMultisampledFramebuffer = null;\\n glColorRenderbuffer = null;\\n glDepthRenderbuffer = null;\\n glBaseLayer = null;\\n glProjLayer = null;\\n glBinding = null;\\n session = null;\\n animation.stop();\\n scope.isPresenting = false;\\n scope.dispatchEvent({type: \\\\\\\"sessionend\\\\\\\"});\\n }\\n this.setFramebufferScaleFactor = function(value) {\\n framebufferScaleFactor = value;\\n if (scope.isPresenting === true) {\\n console.warn(\\\\\\\"THREE.WebXRManager: Cannot change framebuffer scale while presenting.\\\\\\\");\\n }\\n };\\n this.setReferenceSpaceType = function(value) {\\n referenceSpaceType = value;\\n if (scope.isPresenting === true) {\\n console.warn(\\\\\\\"THREE.WebXRManager: Cannot change reference space type while presenting.\\\\\\\");\\n }\\n };\\n this.getReferenceSpace = function() {\\n return referenceSpace;\\n };\\n this.getBaseLayer = function() {\\n return glProjLayer !== null ? glProjLayer : glBaseLayer;\\n };\\n this.getBinding = function() {\\n return glBinding;\\n };\\n this.getFrame = function() {\\n return xrFrame;\\n };\\n this.getSession = function() {\\n return session;\\n };\\n this.setSession = async function(value) {\\n session = value;\\n if (session !== null) {\\n session.addEventListener(\\\\\\\"select\\\\\\\", onSessionEvent);\\n session.addEventListener(\\\\\\\"selectstart\\\\\\\", onSessionEvent);\\n session.addEventListener(\\\\\\\"selectend\\\\\\\", onSessionEvent);\\n session.addEventListener(\\\\\\\"squeeze\\\\\\\", onSessionEvent);\\n session.addEventListener(\\\\\\\"squeezestart\\\\\\\", onSessionEvent);\\n session.addEventListener(\\\\\\\"squeezeend\\\\\\\", onSessionEvent);\\n session.addEventListener(\\\\\\\"end\\\\\\\", onSessionEnd);\\n session.addEventListener(\\\\\\\"inputsourceschange\\\\\\\", onInputSourcesChange);\\n const attributes = gl.getContextAttributes();\\n if (attributes.xrCompatible !== true) {\\n await gl.makeXRCompatible();\\n }\\n if (session.renderState.layers === void 0) {\\n const layerInit = {\\n antialias: attributes.antialias,\\n alpha: attributes.alpha,\\n depth: attributes.depth,\\n stencil: attributes.stencil,\\n framebufferScaleFactor\\n };\\n glBaseLayer = new XRWebGLLayer(session, gl, layerInit);\\n session.updateRenderState({baseLayer: glBaseLayer});\\n } else if (gl instanceof WebGLRenderingContext) {\\n const layerInit = {\\n antialias: true,\\n alpha: attributes.alpha,\\n depth: attributes.depth,\\n stencil: attributes.stencil,\\n framebufferScaleFactor\\n };\\n glBaseLayer = new XRWebGLLayer(session, gl, layerInit);\\n session.updateRenderState({layers: [glBaseLayer]});\\n } else {\\n isMultisample = attributes.antialias;\\n let depthFormat = null;\\n if (attributes.depth) {\\n clearStyle = gl.DEPTH_BUFFER_BIT;\\n if (attributes.stencil)\\n clearStyle |= gl.STENCIL_BUFFER_BIT;\\n depthStyle = attributes.stencil ? gl.DEPTH_STENCIL_ATTACHMENT : gl.DEPTH_ATTACHMENT;\\n depthFormat = attributes.stencil ? gl.DEPTH24_STENCIL8 : gl.DEPTH_COMPONENT24;\\n }\\n const projectionlayerInit = {\\n colorFormat: attributes.alpha ? gl.RGBA8 : gl.RGB8,\\n depthFormat,\\n scaleFactor: framebufferScaleFactor\\n };\\n glBinding = new XRWebGLBinding(session, gl);\\n glProjLayer = glBinding.createProjectionLayer(projectionlayerInit);\\n glFramebuffer = gl.createFramebuffer();\\n session.updateRenderState({layers: [glProjLayer]});\\n if (isMultisample) {\\n glMultisampledFramebuffer = gl.createFramebuffer();\\n glColorRenderbuffer = gl.createRenderbuffer();\\n gl.bindRenderbuffer(gl.RENDERBUFFER, glColorRenderbuffer);\\n gl.renderbufferStorageMultisample(gl.RENDERBUFFER, 4, gl.RGBA8, glProjLayer.textureWidth, glProjLayer.textureHeight);\\n state.bindFramebuffer(gl.FRAMEBUFFER, glMultisampledFramebuffer);\\n gl.framebufferRenderbuffer(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.RENDERBUFFER, glColorRenderbuffer);\\n gl.bindRenderbuffer(gl.RENDERBUFFER, null);\\n if (depthFormat !== null) {\\n glDepthRenderbuffer = gl.createRenderbuffer();\\n gl.bindRenderbuffer(gl.RENDERBUFFER, glDepthRenderbuffer);\\n gl.renderbufferStorageMultisample(gl.RENDERBUFFER, 4, depthFormat, glProjLayer.textureWidth, glProjLayer.textureHeight);\\n gl.framebufferRenderbuffer(gl.FRAMEBUFFER, depthStyle, gl.RENDERBUFFER, glDepthRenderbuffer);\\n gl.bindRenderbuffer(gl.RENDERBUFFER, null);\\n }\\n state.bindFramebuffer(gl.FRAMEBUFFER, null);\\n }\\n }\\n referenceSpace = await session.requestReferenceSpace(referenceSpaceType);\\n animation.setContext(session);\\n animation.start();\\n scope.isPresenting = true;\\n scope.dispatchEvent({type: \\\\\\\"sessionstart\\\\\\\"});\\n }\\n };\\n function onInputSourcesChange(event) {\\n const inputSources = session.inputSources;\\n for (let i = 0; i < controllers.length; i++) {\\n inputSourcesMap.set(inputSources[i], controllers[i]);\\n }\\n for (let i = 0; i < event.removed.length; i++) {\\n const inputSource = event.removed[i];\\n const controller = inputSourcesMap.get(inputSource);\\n if (controller) {\\n controller.dispatchEvent({type: \\\\\\\"disconnected\\\\\\\", data: inputSource});\\n inputSourcesMap.delete(inputSource);\\n }\\n }\\n for (let i = 0; i < event.added.length; i++) {\\n const inputSource = event.added[i];\\n const controller = inputSourcesMap.get(inputSource);\\n if (controller) {\\n controller.dispatchEvent({type: \\\\\\\"connected\\\\\\\", data: inputSource});\\n }\\n }\\n }\\n const cameraLPos = new Vector3();\\n const cameraRPos = new Vector3();\\n function setProjectionFromUnion(camera, cameraL2, cameraR2) {\\n cameraLPos.setFromMatrixPosition(cameraL2.matrixWorld);\\n cameraRPos.setFromMatrixPosition(cameraR2.matrixWorld);\\n const ipd = cameraLPos.distanceTo(cameraRPos);\\n const projL = cameraL2.projectionMatrix.elements;\\n const projR = cameraR2.projectionMatrix.elements;\\n const near = projL[14] / (projL[10] - 1);\\n const far = projL[14] / (projL[10] + 1);\\n const topFov = (projL[9] + 1) / projL[5];\\n const bottomFov = (projL[9] - 1) / projL[5];\\n const leftFov = (projL[8] - 1) / projL[0];\\n const rightFov = (projR[8] + 1) / projR[0];\\n const left = near * leftFov;\\n const right = near * rightFov;\\n const zOffset = ipd / (-leftFov + rightFov);\\n const xOffset = zOffset * -leftFov;\\n cameraL2.matrixWorld.decompose(camera.position, camera.quaternion, camera.scale);\\n camera.translateX(xOffset);\\n camera.translateZ(zOffset);\\n camera.matrixWorld.compose(camera.position, camera.quaternion, camera.scale);\\n camera.matrixWorldInverse.copy(camera.matrixWorld).invert();\\n const near2 = near + zOffset;\\n const far2 = far + zOffset;\\n const left2 = left - xOffset;\\n const right2 = right + (ipd - xOffset);\\n const top2 = topFov * far / far2 * near2;\\n const bottom2 = bottomFov * far / far2 * near2;\\n camera.projectionMatrix.makePerspective(left2, right2, top2, bottom2, near2, far2);\\n }\\n function updateCamera(camera, parent) {\\n if (parent === null) {\\n camera.matrixWorld.copy(camera.matrix);\\n } else {\\n camera.matrixWorld.multiplyMatrices(parent.matrixWorld, camera.matrix);\\n }\\n camera.matrixWorldInverse.copy(camera.matrixWorld).invert();\\n }\\n this.updateCamera = function(camera) {\\n if (session === null)\\n return;\\n cameraVR.near = cameraR.near = cameraL.near = camera.near;\\n cameraVR.far = cameraR.far = cameraL.far = camera.far;\\n if (_currentDepthNear !== cameraVR.near || _currentDepthFar !== cameraVR.far) {\\n session.updateRenderState({\\n depthNear: cameraVR.near,\\n depthFar: cameraVR.far\\n });\\n _currentDepthNear = cameraVR.near;\\n _currentDepthFar = cameraVR.far;\\n }\\n const parent = camera.parent;\\n const cameras2 = cameraVR.cameras;\\n updateCamera(cameraVR, parent);\\n for (let i = 0; i < cameras2.length; i++) {\\n updateCamera(cameras2[i], parent);\\n }\\n cameraVR.matrixWorld.decompose(cameraVR.position, cameraVR.quaternion, cameraVR.scale);\\n camera.position.copy(cameraVR.position);\\n camera.quaternion.copy(cameraVR.quaternion);\\n camera.scale.copy(cameraVR.scale);\\n camera.matrix.copy(cameraVR.matrix);\\n camera.matrixWorld.copy(cameraVR.matrixWorld);\\n const children = camera.children;\\n for (let i = 0, l = children.length; i < l; i++) {\\n children[i].updateMatrixWorld(true);\\n }\\n if (cameras2.length === 2) {\\n setProjectionFromUnion(cameraVR, cameraL, cameraR);\\n } else {\\n cameraVR.projectionMatrix.copy(cameraL.projectionMatrix);\\n }\\n };\\n this.getCamera = function() {\\n return cameraVR;\\n };\\n this.getFoveation = function() {\\n if (glProjLayer !== null) {\\n return glProjLayer.fixedFoveation;\\n }\\n if (glBaseLayer !== null) {\\n return glBaseLayer.fixedFoveation;\\n }\\n return void 0;\\n };\\n this.setFoveation = function(foveation) {\\n if (glProjLayer !== null) {\\n glProjLayer.fixedFoveation = foveation;\\n }\\n if (glBaseLayer !== null && glBaseLayer.fixedFoveation !== void 0) {\\n glBaseLayer.fixedFoveation = foveation;\\n }\\n };\\n let onAnimationFrameCallback = null;\\n function onAnimationFrame(time, frame) {\\n pose = frame.getViewerPose(referenceSpace);\\n xrFrame = frame;\\n if (pose !== null) {\\n const views = pose.views;\\n if (glBaseLayer !== null) {\\n state.bindXRFramebuffer(glBaseLayer.framebuffer);\\n }\\n let cameraVRNeedsUpdate = false;\\n if (views.length !== cameraVR.cameras.length) {\\n cameraVR.cameras.length = 0;\\n cameraVRNeedsUpdate = true;\\n }\\n for (let i = 0; i < views.length; i++) {\\n const view = views[i];\\n let viewport = null;\\n if (glBaseLayer !== null) {\\n viewport = glBaseLayer.getViewport(view);\\n } else {\\n const glSubImage = glBinding.getViewSubImage(glProjLayer, view);\\n state.bindXRFramebuffer(glFramebuffer);\\n if (glSubImage.depthStencilTexture !== void 0) {\\n gl.framebufferTexture2D(gl.FRAMEBUFFER, depthStyle, gl.TEXTURE_2D, glSubImage.depthStencilTexture, 0);\\n }\\n gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_2D, glSubImage.colorTexture, 0);\\n viewport = glSubImage.viewport;\\n }\\n const camera = cameras[i];\\n camera.matrix.fromArray(view.transform.matrix);\\n camera.projectionMatrix.fromArray(view.projectionMatrix);\\n camera.viewport.set(viewport.x, viewport.y, viewport.width, viewport.height);\\n if (i === 0) {\\n cameraVR.matrix.copy(camera.matrix);\\n }\\n if (cameraVRNeedsUpdate === true) {\\n cameraVR.cameras.push(camera);\\n }\\n }\\n if (isMultisample) {\\n state.bindXRFramebuffer(glMultisampledFramebuffer);\\n if (clearStyle !== null)\\n gl.clear(clearStyle);\\n }\\n }\\n const inputSources = session.inputSources;\\n for (let i = 0; i < controllers.length; i++) {\\n const controller = controllers[i];\\n const inputSource = inputSources[i];\\n controller.update(inputSource, frame, referenceSpace);\\n }\\n if (onAnimationFrameCallback)\\n onAnimationFrameCallback(time, frame);\\n if (isMultisample) {\\n const width = glProjLayer.textureWidth;\\n const height = glProjLayer.textureHeight;\\n state.bindFramebuffer(gl.READ_FRAMEBUFFER, glMultisampledFramebuffer);\\n state.bindFramebuffer(gl.DRAW_FRAMEBUFFER, glFramebuffer);\\n gl.invalidateFramebuffer(gl.READ_FRAMEBUFFER, [depthStyle]);\\n gl.invalidateFramebuffer(gl.DRAW_FRAMEBUFFER, [depthStyle]);\\n gl.blitFramebuffer(0, 0, width, height, 0, 0, width, height, gl.COLOR_BUFFER_BIT, gl.NEAREST);\\n gl.invalidateFramebuffer(gl.READ_FRAMEBUFFER, [gl.COLOR_ATTACHMENT0]);\\n state.bindFramebuffer(gl.READ_FRAMEBUFFER, null);\\n state.bindFramebuffer(gl.DRAW_FRAMEBUFFER, null);\\n state.bindFramebuffer(gl.FRAMEBUFFER, glMultisampledFramebuffer);\\n }\\n xrFrame = null;\\n }\\n const animation = new WebGLAnimation();\\n animation.setAnimationLoop(onAnimationFrame);\\n this.setAnimationLoop = function(callback) {\\n onAnimationFrameCallback = callback;\\n };\\n this.dispose = function() {\\n };\\n }\\n};\\n\\n// ../../../node_modules/three/src/renderers/webgl/WebGLMaterials.js\\nfunction WebGLMaterials(properties) {\\n function refreshFogUniforms(uniforms, fog) {\\n uniforms.fogColor.value.copy(fog.color);\\n if (fog.isFog) {\\n uniforms.fogNear.value = fog.near;\\n uniforms.fogFar.value = fog.far;\\n } else if (fog.isFogExp2) {\\n uniforms.fogDensity.value = fog.density;\\n }\\n }\\n function refreshMaterialUniforms(uniforms, material, pixelRatio, height, transmissionRenderTarget) {\\n if (material.isMeshBasicMaterial) {\\n refreshUniformsCommon(uniforms, material);\\n } else if (material.isMeshLambertMaterial) {\\n refreshUniformsCommon(uniforms, material);\\n refreshUniformsLambert(uniforms, material);\\n } else if (material.isMeshToonMaterial) {\\n refreshUniformsCommon(uniforms, material);\\n refreshUniformsToon(uniforms, material);\\n } else if (material.isMeshPhongMaterial) {\\n refreshUniformsCommon(uniforms, material);\\n refreshUniformsPhong(uniforms, material);\\n } else if (material.isMeshStandardMaterial) {\\n refreshUniformsCommon(uniforms, material);\\n if (material.isMeshPhysicalMaterial) {\\n refreshUniformsPhysical(uniforms, material, transmissionRenderTarget);\\n } else {\\n refreshUniformsStandard(uniforms, material);\\n }\\n } else if (material.isMeshMatcapMaterial) {\\n refreshUniformsCommon(uniforms, material);\\n refreshUniformsMatcap(uniforms, material);\\n } else if (material.isMeshDepthMaterial) {\\n refreshUniformsCommon(uniforms, material);\\n refreshUniformsDepth(uniforms, material);\\n } else if (material.isMeshDistanceMaterial) {\\n refreshUniformsCommon(uniforms, material);\\n refreshUniformsDistance(uniforms, material);\\n } else if (material.isMeshNormalMaterial) {\\n refreshUniformsCommon(uniforms, material);\\n refreshUniformsNormal(uniforms, material);\\n } else if (material.isLineBasicMaterial) {\\n refreshUniformsLine(uniforms, material);\\n if (material.isLineDashedMaterial) {\\n refreshUniformsDash(uniforms, material);\\n }\\n } else if (material.isPointsMaterial) {\\n refreshUniformsPoints(uniforms, material, pixelRatio, height);\\n } else if (material.isSpriteMaterial) {\\n refreshUniformsSprites(uniforms, material);\\n } else if (material.isShadowMaterial) {\\n uniforms.color.value.copy(material.color);\\n uniforms.opacity.value = material.opacity;\\n } else if (material.isShaderMaterial) {\\n material.uniformsNeedUpdate = false;\\n }\\n }\\n function refreshUniformsCommon(uniforms, material) {\\n uniforms.opacity.value = material.opacity;\\n if (material.color) {\\n uniforms.diffuse.value.copy(material.color);\\n }\\n if (material.emissive) {\\n uniforms.emissive.value.copy(material.emissive).multiplyScalar(material.emissiveIntensity);\\n }\\n if (material.map) {\\n uniforms.map.value = material.map;\\n }\\n if (material.alphaMap) {\\n uniforms.alphaMap.value = material.alphaMap;\\n }\\n if (material.specularMap) {\\n uniforms.specularMap.value = material.specularMap;\\n }\\n if (material.alphaTest > 0) {\\n uniforms.alphaTest.value = material.alphaTest;\\n }\\n const envMap = properties.get(material).envMap;\\n if (envMap) {\\n uniforms.envMap.value = envMap;\\n uniforms.flipEnvMap.value = envMap.isCubeTexture && envMap.isRenderTargetTexture === false ? -1 : 1;\\n uniforms.reflectivity.value = material.reflectivity;\\n uniforms.ior.value = material.ior;\\n uniforms.refractionRatio.value = material.refractionRatio;\\n const maxMipLevel = properties.get(envMap).__maxMipLevel;\\n if (maxMipLevel !== void 0) {\\n uniforms.maxMipLevel.value = maxMipLevel;\\n }\\n }\\n if (material.lightMap) {\\n uniforms.lightMap.value = material.lightMap;\\n uniforms.lightMapIntensity.value = material.lightMapIntensity;\\n }\\n if (material.aoMap) {\\n uniforms.aoMap.value = material.aoMap;\\n uniforms.aoMapIntensity.value = material.aoMapIntensity;\\n }\\n let uvScaleMap;\\n if (material.map) {\\n uvScaleMap = material.map;\\n } else if (material.specularMap) {\\n uvScaleMap = material.specularMap;\\n } else if (material.displacementMap) {\\n uvScaleMap = material.displacementMap;\\n } else if (material.normalMap) {\\n uvScaleMap = material.normalMap;\\n } else if (material.bumpMap) {\\n uvScaleMap = material.bumpMap;\\n } else if (material.roughnessMap) {\\n uvScaleMap = material.roughnessMap;\\n } else if (material.metalnessMap) {\\n uvScaleMap = material.metalnessMap;\\n } else if (material.alphaMap) {\\n uvScaleMap = material.alphaMap;\\n } else if (material.emissiveMap) {\\n uvScaleMap = material.emissiveMap;\\n } else if (material.clearcoatMap) {\\n uvScaleMap = material.clearcoatMap;\\n } else if (material.clearcoatNormalMap) {\\n uvScaleMap = material.clearcoatNormalMap;\\n } else if (material.clearcoatRoughnessMap) {\\n uvScaleMap = material.clearcoatRoughnessMap;\\n } else if (material.specularIntensityMap) {\\n uvScaleMap = material.specularIntensityMap;\\n } else if (material.specularTintMap) {\\n uvScaleMap = material.specularTintMap;\\n } else if (material.transmissionMap) {\\n uvScaleMap = material.transmissionMap;\\n } else if (material.thicknessMap) {\\n uvScaleMap = material.thicknessMap;\\n }\\n if (uvScaleMap !== void 0) {\\n if (uvScaleMap.isWebGLRenderTarget) {\\n uvScaleMap = uvScaleMap.texture;\\n }\\n if (uvScaleMap.matrixAutoUpdate === true) {\\n uvScaleMap.updateMatrix();\\n }\\n uniforms.uvTransform.value.copy(uvScaleMap.matrix);\\n }\\n let uv2ScaleMap;\\n if (material.aoMap) {\\n uv2ScaleMap = material.aoMap;\\n } else if (material.lightMap) {\\n uv2ScaleMap = material.lightMap;\\n }\\n if (uv2ScaleMap !== void 0) {\\n if (uv2ScaleMap.isWebGLRenderTarget) {\\n uv2ScaleMap = uv2ScaleMap.texture;\\n }\\n if (uv2ScaleMap.matrixAutoUpdate === true) {\\n uv2ScaleMap.updateMatrix();\\n }\\n uniforms.uv2Transform.value.copy(uv2ScaleMap.matrix);\\n }\\n }\\n function refreshUniformsLine(uniforms, material) {\\n uniforms.diffuse.value.copy(material.color);\\n uniforms.opacity.value = material.opacity;\\n }\\n function refreshUniformsDash(uniforms, material) {\\n uniforms.dashSize.value = material.dashSize;\\n uniforms.totalSize.value = material.dashSize + material.gapSize;\\n uniforms.scale.value = material.scale;\\n }\\n function refreshUniformsPoints(uniforms, material, pixelRatio, height) {\\n uniforms.diffuse.value.copy(material.color);\\n uniforms.opacity.value = material.opacity;\\n uniforms.size.value = material.size * pixelRatio;\\n uniforms.scale.value = height * 0.5;\\n if (material.map) {\\n uniforms.map.value = material.map;\\n }\\n if (material.alphaMap) {\\n uniforms.alphaMap.value = material.alphaMap;\\n }\\n if (material.alphaTest > 0) {\\n uniforms.alphaTest.value = material.alphaTest;\\n }\\n let uvScaleMap;\\n if (material.map) {\\n uvScaleMap = material.map;\\n } else if (material.alphaMap) {\\n uvScaleMap = material.alphaMap;\\n }\\n if (uvScaleMap !== void 0) {\\n if (uvScaleMap.matrixAutoUpdate === true) {\\n uvScaleMap.updateMatrix();\\n }\\n uniforms.uvTransform.value.copy(uvScaleMap.matrix);\\n }\\n }\\n function refreshUniformsSprites(uniforms, material) {\\n uniforms.diffuse.value.copy(material.color);\\n uniforms.opacity.value = material.opacity;\\n uniforms.rotation.value = material.rotation;\\n if (material.map) {\\n uniforms.map.value = material.map;\\n }\\n if (material.alphaMap) {\\n uniforms.alphaMap.value = material.alphaMap;\\n }\\n if (material.alphaTest > 0) {\\n uniforms.alphaTest.value = material.alphaTest;\\n }\\n let uvScaleMap;\\n if (material.map) {\\n uvScaleMap = material.map;\\n } else if (material.alphaMap) {\\n uvScaleMap = material.alphaMap;\\n }\\n if (uvScaleMap !== void 0) {\\n if (uvScaleMap.matrixAutoUpdate === true) {\\n uvScaleMap.updateMatrix();\\n }\\n uniforms.uvTransform.value.copy(uvScaleMap.matrix);\\n }\\n }\\n function refreshUniformsLambert(uniforms, material) {\\n if (material.emissiveMap) {\\n uniforms.emissiveMap.value = material.emissiveMap;\\n }\\n }\\n function refreshUniformsPhong(uniforms, material) {\\n uniforms.specular.value.copy(material.specular);\\n uniforms.shininess.value = Math.max(material.shininess, 1e-4);\\n if (material.emissiveMap) {\\n uniforms.emissiveMap.value = material.emissiveMap;\\n }\\n if (material.bumpMap) {\\n uniforms.bumpMap.value = material.bumpMap;\\n uniforms.bumpScale.value = material.bumpScale;\\n if (material.side === BackSide)\\n uniforms.bumpScale.value *= -1;\\n }\\n if (material.normalMap) {\\n uniforms.normalMap.value = material.normalMap;\\n uniforms.normalScale.value.copy(material.normalScale);\\n if (material.side === BackSide)\\n uniforms.normalScale.value.negate();\\n }\\n if (material.displacementMap) {\\n uniforms.displacementMap.value = material.displacementMap;\\n uniforms.displacementScale.value = material.displacementScale;\\n uniforms.displacementBias.value = material.displacementBias;\\n }\\n }\\n function refreshUniformsToon(uniforms, material) {\\n if (material.gradientMap) {\\n uniforms.gradientMap.value = material.gradientMap;\\n }\\n if (material.emissiveMap) {\\n uniforms.emissiveMap.value = material.emissiveMap;\\n }\\n if (material.bumpMap) {\\n uniforms.bumpMap.value = material.bumpMap;\\n uniforms.bumpScale.value = material.bumpScale;\\n if (material.side === BackSide)\\n uniforms.bumpScale.value *= -1;\\n }\\n if (material.normalMap) {\\n uniforms.normalMap.value = material.normalMap;\\n uniforms.normalScale.value.copy(material.normalScale);\\n if (material.side === BackSide)\\n uniforms.normalScale.value.negate();\\n }\\n if (material.displacementMap) {\\n uniforms.displacementMap.value = material.displacementMap;\\n uniforms.displacementScale.value = material.displacementScale;\\n uniforms.displacementBias.value = material.displacementBias;\\n }\\n }\\n function refreshUniformsStandard(uniforms, material) {\\n uniforms.roughness.value = material.roughness;\\n uniforms.metalness.value = material.metalness;\\n if (material.roughnessMap) {\\n uniforms.roughnessMap.value = material.roughnessMap;\\n }\\n if (material.metalnessMap) {\\n uniforms.metalnessMap.value = material.metalnessMap;\\n }\\n if (material.emissiveMap) {\\n uniforms.emissiveMap.value = material.emissiveMap;\\n }\\n if (material.bumpMap) {\\n uniforms.bumpMap.value = material.bumpMap;\\n uniforms.bumpScale.value = material.bumpScale;\\n if (material.side === BackSide)\\n uniforms.bumpScale.value *= -1;\\n }\\n if (material.normalMap) {\\n uniforms.normalMap.value = material.normalMap;\\n uniforms.normalScale.value.copy(material.normalScale);\\n if (material.side === BackSide)\\n uniforms.normalScale.value.negate();\\n }\\n if (material.displacementMap) {\\n uniforms.displacementMap.value = material.displacementMap;\\n uniforms.displacementScale.value = material.displacementScale;\\n uniforms.displacementBias.value = material.displacementBias;\\n }\\n const envMap = properties.get(material).envMap;\\n if (envMap) {\\n uniforms.envMapIntensity.value = material.envMapIntensity;\\n }\\n }\\n function refreshUniformsPhysical(uniforms, material, transmissionRenderTarget) {\\n refreshUniformsStandard(uniforms, material);\\n uniforms.ior.value = material.ior;\\n if (material.sheen > 0) {\\n uniforms.sheenTint.value.copy(material.sheenTint).multiplyScalar(material.sheen);\\n uniforms.sheenRoughness.value = material.sheenRoughness;\\n }\\n if (material.clearcoat > 0) {\\n uniforms.clearcoat.value = material.clearcoat;\\n uniforms.clearcoatRoughness.value = material.clearcoatRoughness;\\n if (material.clearcoatMap) {\\n uniforms.clearcoatMap.value = material.clearcoatMap;\\n }\\n if (material.clearcoatRoughnessMap) {\\n uniforms.clearcoatRoughnessMap.value = material.clearcoatRoughnessMap;\\n }\\n if (material.clearcoatNormalMap) {\\n uniforms.clearcoatNormalScale.value.copy(material.clearcoatNormalScale);\\n uniforms.clearcoatNormalMap.value = material.clearcoatNormalMap;\\n if (material.side === BackSide) {\\n uniforms.clearcoatNormalScale.value.negate();\\n }\\n }\\n }\\n if (material.transmission > 0) {\\n uniforms.transmission.value = material.transmission;\\n uniforms.transmissionSamplerMap.value = transmissionRenderTarget.texture;\\n uniforms.transmissionSamplerSize.value.set(transmissionRenderTarget.width, transmissionRenderTarget.height);\\n if (material.transmissionMap) {\\n uniforms.transmissionMap.value = material.transmissionMap;\\n }\\n uniforms.thickness.value = material.thickness;\\n if (material.thicknessMap) {\\n uniforms.thicknessMap.value = material.thicknessMap;\\n }\\n uniforms.attenuationDistance.value = material.attenuationDistance;\\n uniforms.attenuationTint.value.copy(material.attenuationTint);\\n }\\n uniforms.specularIntensity.value = material.specularIntensity;\\n uniforms.specularTint.value.copy(material.specularTint);\\n if (material.specularIntensityMap) {\\n uniforms.specularIntensityMap.value = material.specularIntensityMap;\\n }\\n if (material.specularTintMap) {\\n uniforms.specularTintMap.value = material.specularTintMap;\\n }\\n }\\n function refreshUniformsMatcap(uniforms, material) {\\n if (material.matcap) {\\n uniforms.matcap.value = material.matcap;\\n }\\n if (material.bumpMap) {\\n uniforms.bumpMap.value = material.bumpMap;\\n uniforms.bumpScale.value = material.bumpScale;\\n if (material.side === BackSide)\\n uniforms.bumpScale.value *= -1;\\n }\\n if (material.normalMap) {\\n uniforms.normalMap.value = material.normalMap;\\n uniforms.normalScale.value.copy(material.normalScale);\\n if (material.side === BackSide)\\n uniforms.normalScale.value.negate();\\n }\\n if (material.displacementMap) {\\n uniforms.displacementMap.value = material.displacementMap;\\n uniforms.displacementScale.value = material.displacementScale;\\n uniforms.displacementBias.value = material.displacementBias;\\n }\\n }\\n function refreshUniformsDepth(uniforms, material) {\\n if (material.displacementMap) {\\n uniforms.displacementMap.value = material.displacementMap;\\n uniforms.displacementScale.value = material.displacementScale;\\n uniforms.displacementBias.value = material.displacementBias;\\n }\\n }\\n function refreshUniformsDistance(uniforms, material) {\\n if (material.displacementMap) {\\n uniforms.displacementMap.value = material.displacementMap;\\n uniforms.displacementScale.value = material.displacementScale;\\n uniforms.displacementBias.value = material.displacementBias;\\n }\\n uniforms.referencePosition.value.copy(material.referencePosition);\\n uniforms.nearDistance.value = material.nearDistance;\\n uniforms.farDistance.value = material.farDistance;\\n }\\n function refreshUniformsNormal(uniforms, material) {\\n if (material.bumpMap) {\\n uniforms.bumpMap.value = material.bumpMap;\\n uniforms.bumpScale.value = material.bumpScale;\\n if (material.side === BackSide)\\n uniforms.bumpScale.value *= -1;\\n }\\n if (material.normalMap) {\\n uniforms.normalMap.value = material.normalMap;\\n uniforms.normalScale.value.copy(material.normalScale);\\n if (material.side === BackSide)\\n uniforms.normalScale.value.negate();\\n }\\n if (material.displacementMap) {\\n uniforms.displacementMap.value = material.displacementMap;\\n uniforms.displacementScale.value = material.displacementScale;\\n uniforms.displacementBias.value = material.displacementBias;\\n }\\n }\\n return {\\n refreshFogUniforms,\\n refreshMaterialUniforms\\n };\\n}\\n\\n// ../../../node_modules/three/src/renderers/WebGLRenderer.js\\nfunction createCanvasElement() {\\n const canvas = createElementNS(\\\\\\\"canvas\\\\\\\");\\n canvas.style.display = \\\\\\\"block\\\\\\\";\\n return canvas;\\n}\\nfunction WebGLRenderer(parameters = {}) {\\n const _canvas2 = parameters.canvas !== void 0 ? parameters.canvas : createCanvasElement(), _context2 = parameters.context !== void 0 ? parameters.context : null, _alpha = parameters.alpha !== void 0 ? parameters.alpha : false, _depth = parameters.depth !== void 0 ? parameters.depth : true, _stencil = parameters.stencil !== void 0 ? parameters.stencil : true, _antialias = parameters.antialias !== void 0 ? parameters.antialias : false, _premultipliedAlpha = parameters.premultipliedAlpha !== void 0 ? parameters.premultipliedAlpha : true, _preserveDrawingBuffer = parameters.preserveDrawingBuffer !== void 0 ? parameters.preserveDrawingBuffer : false, _powerPreference = parameters.powerPreference !== void 0 ? parameters.powerPreference : \\\\\\\"default\\\\\\\", _failIfMajorPerformanceCaveat = parameters.failIfMajorPerformanceCaveat !== void 0 ? parameters.failIfMajorPerformanceCaveat : false;\\n let currentRenderList = null;\\n let currentRenderState = null;\\n const renderListStack = [];\\n const renderStateStack = [];\\n this.domElement = _canvas2;\\n this.debug = {\\n checkShaderErrors: true\\n };\\n this.autoClear = true;\\n this.autoClearColor = true;\\n this.autoClearDepth = true;\\n this.autoClearStencil = true;\\n this.sortObjects = true;\\n this.clippingPlanes = [];\\n this.localClippingEnabled = false;\\n this.gammaFactor = 2;\\n this.outputEncoding = LinearEncoding;\\n this.physicallyCorrectLights = false;\\n this.toneMapping = NoToneMapping;\\n this.toneMappingExposure = 1;\\n const _this = this;\\n let _isContextLost = false;\\n let _currentActiveCubeFace = 0;\\n let _currentActiveMipmapLevel = 0;\\n let _currentRenderTarget = null;\\n let _currentMaterialId = -1;\\n let _currentCamera = null;\\n const _currentViewport = new Vector4();\\n const _currentScissor = new Vector4();\\n let _currentScissorTest = null;\\n let _width = _canvas2.width;\\n let _height = _canvas2.height;\\n let _pixelRatio = 1;\\n let _opaqueSort = null;\\n let _transparentSort = null;\\n const _viewport = new Vector4(0, 0, _width, _height);\\n const _scissor = new Vector4(0, 0, _width, _height);\\n let _scissorTest = false;\\n const _currentDrawBuffers = [];\\n const _frustum = new Frustum();\\n let _clippingEnabled = false;\\n let _localClippingEnabled = false;\\n let _transmissionRenderTarget = null;\\n const _projScreenMatrix = new Matrix4();\\n const _vector32 = new Vector3();\\n const _emptyScene = {background: null, fog: null, environment: null, overrideMaterial: null, isScene: true};\\n function getTargetPixelRatio() {\\n return _currentRenderTarget === null ? _pixelRatio : 1;\\n }\\n let _gl = _context2;\\n function getContext(contextNames, contextAttributes) {\\n for (let i = 0; i < contextNames.length; i++) {\\n const contextName = contextNames[i];\\n const context = _canvas2.getContext(contextName, contextAttributes);\\n if (context !== null)\\n return context;\\n }\\n return null;\\n }\\n try {\\n const contextAttributes = {\\n alpha: _alpha,\\n depth: _depth,\\n stencil: _stencil,\\n antialias: _antialias,\\n premultipliedAlpha: _premultipliedAlpha,\\n preserveDrawingBuffer: _preserveDrawingBuffer,\\n powerPreference: _powerPreference,\\n failIfMajorPerformanceCaveat: _failIfMajorPerformanceCaveat\\n };\\n _canvas2.addEventListener(\\\\\\\"webglcontextlost\\\\\\\", onContextLost, false);\\n _canvas2.addEventListener(\\\\\\\"webglcontextrestored\\\\\\\", onContextRestore, false);\\n if (_gl === null) {\\n const contextNames = [\\\\\\\"webgl2\\\\\\\", \\\\\\\"webgl\\\\\\\", \\\\\\\"experimental-webgl\\\\\\\"];\\n if (_this.isWebGL1Renderer === true) {\\n contextNames.shift();\\n }\\n _gl = getContext(contextNames, contextAttributes);\\n if (_gl === null) {\\n if (getContext(contextNames)) {\\n throw new Error(\\\\\\\"Error creating WebGL context with your selected attributes.\\\\\\\");\\n } else {\\n throw new Error(\\\\\\\"Error creating WebGL context.\\\\\\\");\\n }\\n }\\n }\\n if (_gl.getShaderPrecisionFormat === void 0) {\\n _gl.getShaderPrecisionFormat = function() {\\n return {rangeMin: 1, rangeMax: 1, precision: 1};\\n };\\n }\\n } catch (error) {\\n console.error(\\\\\\\"THREE.WebGLRenderer: \\\\\\\" + error.message);\\n throw error;\\n }\\n let extensions, capabilities, state, info;\\n let properties, textures, cubemaps, cubeuvmaps, attributes, geometries, objects;\\n let programCache, materials2, renderLists, renderStates, clipping, shadowMap;\\n let background2, morphtargets, bufferRenderer, indexedBufferRenderer;\\n let utils, bindingStates;\\n function initGLContext() {\\n extensions = new WebGLExtensions(_gl);\\n capabilities = new WebGLCapabilities(_gl, extensions, parameters);\\n extensions.init(capabilities);\\n utils = new WebGLUtils(_gl, extensions, capabilities);\\n state = new WebGLState(_gl, extensions, capabilities);\\n _currentDrawBuffers[0] = _gl.BACK;\\n info = new WebGLInfo(_gl);\\n properties = new WebGLProperties();\\n textures = new WebGLTextures(_gl, extensions, state, properties, capabilities, utils, info);\\n cubemaps = new WebGLCubeMaps(_this);\\n cubeuvmaps = new WebGLCubeUVMaps(_this);\\n attributes = new WebGLAttributes(_gl, capabilities);\\n bindingStates = new WebGLBindingStates(_gl, extensions, attributes, capabilities);\\n geometries = new WebGLGeometries(_gl, attributes, info, bindingStates);\\n objects = new WebGLObjects(_gl, geometries, attributes, info);\\n morphtargets = new WebGLMorphtargets(_gl, capabilities, textures);\\n clipping = new WebGLClipping(properties);\\n programCache = new WebGLPrograms(_this, cubemaps, cubeuvmaps, extensions, capabilities, bindingStates, clipping);\\n materials2 = new WebGLMaterials(properties);\\n renderLists = new WebGLRenderLists(properties);\\n renderStates = new WebGLRenderStates(extensions, capabilities);\\n background2 = new WebGLBackground(_this, cubemaps, state, objects, _premultipliedAlpha);\\n shadowMap = new WebGLShadowMap(_this, objects, capabilities);\\n bufferRenderer = new WebGLBufferRenderer(_gl, extensions, info, capabilities);\\n indexedBufferRenderer = new WebGLIndexedBufferRenderer(_gl, extensions, info, capabilities);\\n info.programs = programCache.programs;\\n _this.capabilities = capabilities;\\n _this.extensions = extensions;\\n _this.properties = properties;\\n _this.renderLists = renderLists;\\n _this.shadowMap = shadowMap;\\n _this.state = state;\\n _this.info = info;\\n }\\n initGLContext();\\n const xr = new WebXRManager(_this, _gl);\\n this.xr = xr;\\n this.getContext = function() {\\n return _gl;\\n };\\n this.getContextAttributes = function() {\\n return _gl.getContextAttributes();\\n };\\n this.forceContextLoss = function() {\\n const extension = extensions.get(\\\\\\\"WEBGL_lose_context\\\\\\\");\\n if (extension)\\n extension.loseContext();\\n };\\n this.forceContextRestore = function() {\\n const extension = extensions.get(\\\\\\\"WEBGL_lose_context\\\\\\\");\\n if (extension)\\n extension.restoreContext();\\n };\\n this.getPixelRatio = function() {\\n return _pixelRatio;\\n };\\n this.setPixelRatio = function(value) {\\n if (value === void 0)\\n return;\\n _pixelRatio = value;\\n this.setSize(_width, _height, false);\\n };\\n this.getSize = function(target) {\\n return target.set(_width, _height);\\n };\\n this.setSize = function(width, height, updateStyle) {\\n if (xr.isPresenting) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer: Can't change size while VR device is presenting.\\\\\\\");\\n return;\\n }\\n _width = width;\\n _height = height;\\n _canvas2.width = Math.floor(width * _pixelRatio);\\n _canvas2.height = Math.floor(height * _pixelRatio);\\n if (updateStyle !== false) {\\n _canvas2.style.width = width + \\\\\\\"px\\\\\\\";\\n _canvas2.style.height = height + \\\\\\\"px\\\\\\\";\\n }\\n this.setViewport(0, 0, width, height);\\n };\\n this.getDrawingBufferSize = function(target) {\\n return target.set(_width * _pixelRatio, _height * _pixelRatio).floor();\\n };\\n this.setDrawingBufferSize = function(width, height, pixelRatio) {\\n _width = width;\\n _height = height;\\n _pixelRatio = pixelRatio;\\n _canvas2.width = Math.floor(width * pixelRatio);\\n _canvas2.height = Math.floor(height * pixelRatio);\\n this.setViewport(0, 0, width, height);\\n };\\n this.getCurrentViewport = function(target) {\\n return target.copy(_currentViewport);\\n };\\n this.getViewport = function(target) {\\n return target.copy(_viewport);\\n };\\n this.setViewport = function(x, y, width, height) {\\n if (x.isVector4) {\\n _viewport.set(x.x, x.y, x.z, x.w);\\n } else {\\n _viewport.set(x, y, width, height);\\n }\\n state.viewport(_currentViewport.copy(_viewport).multiplyScalar(_pixelRatio).floor());\\n };\\n this.getScissor = function(target) {\\n return target.copy(_scissor);\\n };\\n this.setScissor = function(x, y, width, height) {\\n if (x.isVector4) {\\n _scissor.set(x.x, x.y, x.z, x.w);\\n } else {\\n _scissor.set(x, y, width, height);\\n }\\n state.scissor(_currentScissor.copy(_scissor).multiplyScalar(_pixelRatio).floor());\\n };\\n this.getScissorTest = function() {\\n return _scissorTest;\\n };\\n this.setScissorTest = function(boolean) {\\n state.setScissorTest(_scissorTest = boolean);\\n };\\n this.setOpaqueSort = function(method) {\\n _opaqueSort = method;\\n };\\n this.setTransparentSort = function(method) {\\n _transparentSort = method;\\n };\\n this.getClearColor = function(target) {\\n return target.copy(background2.getClearColor());\\n };\\n this.setClearColor = function() {\\n background2.setClearColor.apply(background2, arguments);\\n };\\n this.getClearAlpha = function() {\\n return background2.getClearAlpha();\\n };\\n this.setClearAlpha = function() {\\n background2.setClearAlpha.apply(background2, arguments);\\n };\\n this.clear = function(color, depth2, stencil) {\\n let bits = 0;\\n if (color === void 0 || color)\\n bits |= _gl.COLOR_BUFFER_BIT;\\n if (depth2 === void 0 || depth2)\\n bits |= _gl.DEPTH_BUFFER_BIT;\\n if (stencil === void 0 || stencil)\\n bits |= _gl.STENCIL_BUFFER_BIT;\\n _gl.clear(bits);\\n };\\n this.clearColor = function() {\\n this.clear(true, false, false);\\n };\\n this.clearDepth = function() {\\n this.clear(false, true, false);\\n };\\n this.clearStencil = function() {\\n this.clear(false, false, true);\\n };\\n this.dispose = function() {\\n _canvas2.removeEventListener(\\\\\\\"webglcontextlost\\\\\\\", onContextLost, false);\\n _canvas2.removeEventListener(\\\\\\\"webglcontextrestored\\\\\\\", onContextRestore, false);\\n renderLists.dispose();\\n renderStates.dispose();\\n properties.dispose();\\n cubemaps.dispose();\\n cubeuvmaps.dispose();\\n objects.dispose();\\n bindingStates.dispose();\\n xr.dispose();\\n xr.removeEventListener(\\\\\\\"sessionstart\\\\\\\", onXRSessionStart);\\n xr.removeEventListener(\\\\\\\"sessionend\\\\\\\", onXRSessionEnd);\\n if (_transmissionRenderTarget) {\\n _transmissionRenderTarget.dispose();\\n _transmissionRenderTarget = null;\\n }\\n animation.stop();\\n };\\n function onContextLost(event) {\\n event.preventDefault();\\n console.log(\\\\\\\"THREE.WebGLRenderer: Context Lost.\\\\\\\");\\n _isContextLost = true;\\n }\\n function onContextRestore() {\\n console.log(\\\\\\\"THREE.WebGLRenderer: Context Restored.\\\\\\\");\\n _isContextLost = false;\\n const infoAutoReset = info.autoReset;\\n const shadowMapEnabled = shadowMap.enabled;\\n const shadowMapAutoUpdate = shadowMap.autoUpdate;\\n const shadowMapNeedsUpdate = shadowMap.needsUpdate;\\n const shadowMapType = shadowMap.type;\\n initGLContext();\\n info.autoReset = infoAutoReset;\\n shadowMap.enabled = shadowMapEnabled;\\n shadowMap.autoUpdate = shadowMapAutoUpdate;\\n shadowMap.needsUpdate = shadowMapNeedsUpdate;\\n shadowMap.type = shadowMapType;\\n }\\n function onMaterialDispose(event) {\\n const material = event.target;\\n material.removeEventListener(\\\\\\\"dispose\\\\\\\", onMaterialDispose);\\n deallocateMaterial(material);\\n }\\n function deallocateMaterial(material) {\\n releaseMaterialProgramReferences(material);\\n properties.remove(material);\\n }\\n function releaseMaterialProgramReferences(material) {\\n const programs = properties.get(material).programs;\\n if (programs !== void 0) {\\n programs.forEach(function(program) {\\n programCache.releaseProgram(program);\\n });\\n }\\n }\\n function renderObjectImmediate(object, program) {\\n object.render(function(object2) {\\n _this.renderBufferImmediate(object2, program);\\n });\\n }\\n this.renderBufferImmediate = function(object, program) {\\n bindingStates.initAttributes();\\n const buffers = properties.get(object);\\n if (object.hasPositions && !buffers.position)\\n buffers.position = _gl.createBuffer();\\n if (object.hasNormals && !buffers.normal)\\n buffers.normal = _gl.createBuffer();\\n if (object.hasUvs && !buffers.uv)\\n buffers.uv = _gl.createBuffer();\\n if (object.hasColors && !buffers.color)\\n buffers.color = _gl.createBuffer();\\n const programAttributes = program.getAttributes();\\n if (object.hasPositions) {\\n _gl.bindBuffer(_gl.ARRAY_BUFFER, buffers.position);\\n _gl.bufferData(_gl.ARRAY_BUFFER, object.positionArray, _gl.DYNAMIC_DRAW);\\n bindingStates.enableAttribute(programAttributes.position.location);\\n _gl.vertexAttribPointer(programAttributes.position.location, 3, _gl.FLOAT, false, 0, 0);\\n }\\n if (object.hasNormals) {\\n _gl.bindBuffer(_gl.ARRAY_BUFFER, buffers.normal);\\n _gl.bufferData(_gl.ARRAY_BUFFER, object.normalArray, _gl.DYNAMIC_DRAW);\\n bindingStates.enableAttribute(programAttributes.normal.location);\\n _gl.vertexAttribPointer(programAttributes.normal.location, 3, _gl.FLOAT, false, 0, 0);\\n }\\n if (object.hasUvs) {\\n _gl.bindBuffer(_gl.ARRAY_BUFFER, buffers.uv);\\n _gl.bufferData(_gl.ARRAY_BUFFER, object.uvArray, _gl.DYNAMIC_DRAW);\\n bindingStates.enableAttribute(programAttributes.uv.location);\\n _gl.vertexAttribPointer(programAttributes.uv.location, 2, _gl.FLOAT, false, 0, 0);\\n }\\n if (object.hasColors) {\\n _gl.bindBuffer(_gl.ARRAY_BUFFER, buffers.color);\\n _gl.bufferData(_gl.ARRAY_BUFFER, object.colorArray, _gl.DYNAMIC_DRAW);\\n bindingStates.enableAttribute(programAttributes.color.location);\\n _gl.vertexAttribPointer(programAttributes.color.location, 3, _gl.FLOAT, false, 0, 0);\\n }\\n bindingStates.disableUnusedAttributes();\\n _gl.drawArrays(_gl.TRIANGLES, 0, object.count);\\n object.count = 0;\\n };\\n this.renderBufferDirect = function(camera, scene, geometry, material, object, group) {\\n if (scene === null)\\n scene = _emptyScene;\\n const frontFaceCW = object.isMesh && object.matrixWorld.determinant() < 0;\\n const program = setProgram(camera, scene, geometry, material, object);\\n state.setMaterial(material, frontFaceCW);\\n let index = geometry.index;\\n const position = geometry.attributes.position;\\n if (index === null) {\\n if (position === void 0 || position.count === 0)\\n return;\\n } else if (index.count === 0) {\\n return;\\n }\\n let rangeFactor = 1;\\n if (material.wireframe === true) {\\n index = geometries.getWireframeAttribute(geometry);\\n rangeFactor = 2;\\n }\\n bindingStates.setup(object, material, program, geometry, index);\\n let attribute;\\n let renderer = bufferRenderer;\\n if (index !== null) {\\n attribute = attributes.get(index);\\n renderer = indexedBufferRenderer;\\n renderer.setIndex(attribute);\\n }\\n const dataCount = index !== null ? index.count : position.count;\\n const rangeStart = geometry.drawRange.start * rangeFactor;\\n const rangeCount = geometry.drawRange.count * rangeFactor;\\n const groupStart = group !== null ? group.start * rangeFactor : 0;\\n const groupCount = group !== null ? group.count * rangeFactor : Infinity;\\n const drawStart = Math.max(rangeStart, groupStart);\\n const drawEnd = Math.min(dataCount, rangeStart + rangeCount, groupStart + groupCount) - 1;\\n const drawCount = Math.max(0, drawEnd - drawStart + 1);\\n if (drawCount === 0)\\n return;\\n if (object.isMesh) {\\n if (material.wireframe === true) {\\n state.setLineWidth(material.wireframeLinewidth * getTargetPixelRatio());\\n renderer.setMode(_gl.LINES);\\n } else {\\n renderer.setMode(_gl.TRIANGLES);\\n }\\n } else if (object.isLine) {\\n let lineWidth = material.linewidth;\\n if (lineWidth === void 0)\\n lineWidth = 1;\\n state.setLineWidth(lineWidth * getTargetPixelRatio());\\n if (object.isLineSegments) {\\n renderer.setMode(_gl.LINES);\\n } else if (object.isLineLoop) {\\n renderer.setMode(_gl.LINE_LOOP);\\n } else {\\n renderer.setMode(_gl.LINE_STRIP);\\n }\\n } else if (object.isPoints) {\\n renderer.setMode(_gl.POINTS);\\n } else if (object.isSprite) {\\n renderer.setMode(_gl.TRIANGLES);\\n }\\n if (object.isInstancedMesh) {\\n renderer.renderInstances(drawStart, drawCount, object.count);\\n } else if (geometry.isInstancedBufferGeometry) {\\n const instanceCount = Math.min(geometry.instanceCount, geometry._maxInstanceCount);\\n renderer.renderInstances(drawStart, drawCount, instanceCount);\\n } else {\\n renderer.render(drawStart, drawCount);\\n }\\n };\\n this.compile = function(scene, camera) {\\n currentRenderState = renderStates.get(scene);\\n currentRenderState.init();\\n renderStateStack.push(currentRenderState);\\n scene.traverseVisible(function(object) {\\n if (object.isLight && object.layers.test(camera.layers)) {\\n currentRenderState.pushLight(object);\\n if (object.castShadow) {\\n currentRenderState.pushShadow(object);\\n }\\n }\\n });\\n currentRenderState.setupLights(_this.physicallyCorrectLights);\\n scene.traverse(function(object) {\\n const material = object.material;\\n if (material) {\\n if (Array.isArray(material)) {\\n for (let i = 0; i < material.length; i++) {\\n const material2 = material[i];\\n getProgram(material2, scene, object);\\n }\\n } else {\\n getProgram(material, scene, object);\\n }\\n }\\n });\\n renderStateStack.pop();\\n currentRenderState = null;\\n };\\n let onAnimationFrameCallback = null;\\n function onAnimationFrame(time) {\\n if (onAnimationFrameCallback)\\n onAnimationFrameCallback(time);\\n }\\n function onXRSessionStart() {\\n animation.stop();\\n }\\n function onXRSessionEnd() {\\n animation.start();\\n }\\n const animation = new WebGLAnimation();\\n animation.setAnimationLoop(onAnimationFrame);\\n if (typeof window !== \\\\\\\"undefined\\\\\\\")\\n animation.setContext(window);\\n this.setAnimationLoop = function(callback) {\\n onAnimationFrameCallback = callback;\\n xr.setAnimationLoop(callback);\\n callback === null ? animation.stop() : animation.start();\\n };\\n xr.addEventListener(\\\\\\\"sessionstart\\\\\\\", onXRSessionStart);\\n xr.addEventListener(\\\\\\\"sessionend\\\\\\\", onXRSessionEnd);\\n this.render = function(scene, camera) {\\n if (camera !== void 0 && camera.isCamera !== true) {\\n console.error(\\\\\\\"THREE.WebGLRenderer.render: camera is not an instance of THREE.Camera.\\\\\\\");\\n return;\\n }\\n if (_isContextLost === true)\\n return;\\n if (scene.autoUpdate === true)\\n scene.updateMatrixWorld();\\n if (camera.parent === null)\\n camera.updateMatrixWorld();\\n if (xr.enabled === true && xr.isPresenting === true) {\\n if (xr.cameraAutoUpdate === true)\\n xr.updateCamera(camera);\\n camera = xr.getCamera();\\n }\\n if (scene.isScene === true)\\n scene.onBeforeRender(_this, scene, camera, _currentRenderTarget);\\n currentRenderState = renderStates.get(scene, renderStateStack.length);\\n currentRenderState.init();\\n renderStateStack.push(currentRenderState);\\n _projScreenMatrix.multiplyMatrices(camera.projectionMatrix, camera.matrixWorldInverse);\\n _frustum.setFromProjectionMatrix(_projScreenMatrix);\\n _localClippingEnabled = this.localClippingEnabled;\\n _clippingEnabled = clipping.init(this.clippingPlanes, _localClippingEnabled, camera);\\n currentRenderList = renderLists.get(scene, renderListStack.length);\\n currentRenderList.init();\\n renderListStack.push(currentRenderList);\\n projectObject(scene, camera, 0, _this.sortObjects);\\n currentRenderList.finish();\\n if (_this.sortObjects === true) {\\n currentRenderList.sort(_opaqueSort, _transparentSort);\\n }\\n if (_clippingEnabled === true)\\n clipping.beginShadows();\\n const shadowsArray = currentRenderState.state.shadowsArray;\\n shadowMap.render(shadowsArray, scene, camera);\\n if (_clippingEnabled === true)\\n clipping.endShadows();\\n if (this.info.autoReset === true)\\n this.info.reset();\\n background2.render(currentRenderList, scene);\\n currentRenderState.setupLights(_this.physicallyCorrectLights);\\n if (camera.isArrayCamera) {\\n const cameras = camera.cameras;\\n for (let i = 0, l = cameras.length; i < l; i++) {\\n const camera2 = cameras[i];\\n renderScene(currentRenderList, scene, camera2, camera2.viewport);\\n }\\n } else {\\n renderScene(currentRenderList, scene, camera);\\n }\\n if (_currentRenderTarget !== null) {\\n textures.updateMultisampleRenderTarget(_currentRenderTarget);\\n textures.updateRenderTargetMipmap(_currentRenderTarget);\\n }\\n if (scene.isScene === true)\\n scene.onAfterRender(_this, scene, camera);\\n state.buffers.depth.setTest(true);\\n state.buffers.depth.setMask(true);\\n state.buffers.color.setMask(true);\\n state.setPolygonOffset(false);\\n bindingStates.resetDefaultState();\\n _currentMaterialId = -1;\\n _currentCamera = null;\\n renderStateStack.pop();\\n if (renderStateStack.length > 0) {\\n currentRenderState = renderStateStack[renderStateStack.length - 1];\\n } else {\\n currentRenderState = null;\\n }\\n renderListStack.pop();\\n if (renderListStack.length > 0) {\\n currentRenderList = renderListStack[renderListStack.length - 1];\\n } else {\\n currentRenderList = null;\\n }\\n };\\n function projectObject(object, camera, groupOrder, sortObjects) {\\n if (object.visible === false)\\n return;\\n const visible = object.layers.test(camera.layers);\\n if (visible) {\\n if (object.isGroup) {\\n groupOrder = object.renderOrder;\\n } else if (object.isLOD) {\\n if (object.autoUpdate === true)\\n object.update(camera);\\n } else if (object.isLight) {\\n currentRenderState.pushLight(object);\\n if (object.castShadow) {\\n currentRenderState.pushShadow(object);\\n }\\n } else if (object.isSprite) {\\n if (!object.frustumCulled || _frustum.intersectsSprite(object)) {\\n if (sortObjects) {\\n _vector32.setFromMatrixPosition(object.matrixWorld).applyMatrix4(_projScreenMatrix);\\n }\\n const geometry = objects.update(object);\\n const material = object.material;\\n if (material.visible) {\\n currentRenderList.push(object, geometry, material, groupOrder, _vector32.z, null);\\n }\\n }\\n } else if (object.isImmediateRenderObject) {\\n if (sortObjects) {\\n _vector32.setFromMatrixPosition(object.matrixWorld).applyMatrix4(_projScreenMatrix);\\n }\\n currentRenderList.push(object, null, object.material, groupOrder, _vector32.z, null);\\n } else if (object.isMesh || object.isLine || object.isPoints) {\\n if (object.isSkinnedMesh) {\\n if (object.skeleton.frame !== info.render.frame) {\\n object.skeleton.update();\\n object.skeleton.frame = info.render.frame;\\n }\\n }\\n if (!object.frustumCulled || _frustum.intersectsObject(object)) {\\n if (sortObjects) {\\n _vector32.setFromMatrixPosition(object.matrixWorld).applyMatrix4(_projScreenMatrix);\\n }\\n const geometry = objects.update(object);\\n const material = object.material;\\n if (Array.isArray(material)) {\\n const groups = geometry.groups;\\n for (let i = 0, l = groups.length; i < l; i++) {\\n const group = groups[i];\\n const groupMaterial = material[group.materialIndex];\\n if (groupMaterial && groupMaterial.visible) {\\n currentRenderList.push(object, geometry, groupMaterial, groupOrder, _vector32.z, group);\\n }\\n }\\n } else if (material.visible) {\\n currentRenderList.push(object, geometry, material, groupOrder, _vector32.z, null);\\n }\\n }\\n }\\n }\\n const children = object.children;\\n for (let i = 0, l = children.length; i < l; i++) {\\n projectObject(children[i], camera, groupOrder, sortObjects);\\n }\\n }\\n function renderScene(currentRenderList2, scene, camera, viewport) {\\n const opaqueObjects = currentRenderList2.opaque;\\n const transmissiveObjects = currentRenderList2.transmissive;\\n const transparentObjects = currentRenderList2.transparent;\\n currentRenderState.setupLightsView(camera);\\n if (transmissiveObjects.length > 0)\\n renderTransmissionPass(opaqueObjects, scene, camera);\\n if (viewport)\\n state.viewport(_currentViewport.copy(viewport));\\n if (opaqueObjects.length > 0)\\n renderObjects(opaqueObjects, scene, camera);\\n if (transmissiveObjects.length > 0)\\n renderObjects(transmissiveObjects, scene, camera);\\n if (transparentObjects.length > 0)\\n renderObjects(transparentObjects, scene, camera);\\n }\\n function renderTransmissionPass(opaqueObjects, scene, camera) {\\n if (_transmissionRenderTarget === null) {\\n const needsAntialias = _antialias === true && capabilities.isWebGL2 === true;\\n const renderTargetType = needsAntialias ? WebGLMultisampleRenderTarget : WebGLRenderTarget;\\n _transmissionRenderTarget = new renderTargetType(1024, 1024, {\\n generateMipmaps: true,\\n type: utils.convert(HalfFloatType) !== null ? HalfFloatType : UnsignedByteType,\\n minFilter: LinearMipmapLinearFilter,\\n magFilter: NearestFilter,\\n wrapS: ClampToEdgeWrapping,\\n wrapT: ClampToEdgeWrapping\\n });\\n }\\n const currentRenderTarget = _this.getRenderTarget();\\n _this.setRenderTarget(_transmissionRenderTarget);\\n _this.clear();\\n const currentToneMapping = _this.toneMapping;\\n _this.toneMapping = NoToneMapping;\\n renderObjects(opaqueObjects, scene, camera);\\n _this.toneMapping = currentToneMapping;\\n textures.updateMultisampleRenderTarget(_transmissionRenderTarget);\\n textures.updateRenderTargetMipmap(_transmissionRenderTarget);\\n _this.setRenderTarget(currentRenderTarget);\\n }\\n function renderObjects(renderList, scene, camera) {\\n const overrideMaterial = scene.isScene === true ? scene.overrideMaterial : null;\\n for (let i = 0, l = renderList.length; i < l; i++) {\\n const renderItem = renderList[i];\\n const object = renderItem.object;\\n const geometry = renderItem.geometry;\\n const material = overrideMaterial === null ? renderItem.material : overrideMaterial;\\n const group = renderItem.group;\\n if (object.layers.test(camera.layers)) {\\n renderObject(object, scene, camera, geometry, material, group);\\n }\\n }\\n }\\n function renderObject(object, scene, camera, geometry, material, group) {\\n object.onBeforeRender(_this, scene, camera, geometry, material, group);\\n object.modelViewMatrix.multiplyMatrices(camera.matrixWorldInverse, object.matrixWorld);\\n object.normalMatrix.getNormalMatrix(object.modelViewMatrix);\\n material.onBeforeRender(_this, scene, camera, geometry, object, group);\\n if (object.isImmediateRenderObject) {\\n const program = setProgram(camera, scene, geometry, material, object);\\n state.setMaterial(material);\\n bindingStates.reset();\\n renderObjectImmediate(object, program);\\n } else {\\n if (material.transparent === true && material.side === DoubleSide) {\\n material.side = BackSide;\\n material.needsUpdate = true;\\n _this.renderBufferDirect(camera, scene, geometry, material, object, group);\\n material.side = FrontSide;\\n material.needsUpdate = true;\\n _this.renderBufferDirect(camera, scene, geometry, material, object, group);\\n material.side = DoubleSide;\\n } else {\\n _this.renderBufferDirect(camera, scene, geometry, material, object, group);\\n }\\n }\\n object.onAfterRender(_this, scene, camera, geometry, material, group);\\n }\\n function getProgram(material, scene, object) {\\n if (scene.isScene !== true)\\n scene = _emptyScene;\\n const materialProperties = properties.get(material);\\n const lights = currentRenderState.state.lights;\\n const shadowsArray = currentRenderState.state.shadowsArray;\\n const lightsStateVersion = lights.state.version;\\n const parameters2 = programCache.getParameters(material, lights.state, shadowsArray, scene, object);\\n const programCacheKey = programCache.getProgramCacheKey(parameters2);\\n let programs = materialProperties.programs;\\n materialProperties.environment = material.isMeshStandardMaterial ? scene.environment : null;\\n materialProperties.fog = scene.fog;\\n materialProperties.envMap = (material.isMeshStandardMaterial ? cubeuvmaps : cubemaps).get(material.envMap || materialProperties.environment);\\n if (programs === void 0) {\\n material.addEventListener(\\\\\\\"dispose\\\\\\\", onMaterialDispose);\\n programs = new Map();\\n materialProperties.programs = programs;\\n }\\n let program = programs.get(programCacheKey);\\n if (program !== void 0) {\\n if (materialProperties.currentProgram === program && materialProperties.lightsStateVersion === lightsStateVersion) {\\n updateCommonMaterialProperties(material, parameters2);\\n return program;\\n }\\n } else {\\n parameters2.uniforms = programCache.getUniforms(material);\\n material.onBuild(parameters2, _this);\\n material.onBeforeCompile(parameters2, _this);\\n program = programCache.acquireProgram(parameters2, programCacheKey);\\n programs.set(programCacheKey, program);\\n materialProperties.uniforms = parameters2.uniforms;\\n }\\n const uniforms = materialProperties.uniforms;\\n if (!material.isShaderMaterial && !material.isRawShaderMaterial || material.clipping === true) {\\n uniforms.clippingPlanes = clipping.uniform;\\n }\\n updateCommonMaterialProperties(material, parameters2);\\n materialProperties.needsLights = materialNeedsLights(material);\\n materialProperties.lightsStateVersion = lightsStateVersion;\\n if (materialProperties.needsLights) {\\n uniforms.ambientLightColor.value = lights.state.ambient;\\n uniforms.lightProbe.value = lights.state.probe;\\n uniforms.directionalLights.value = lights.state.directional;\\n uniforms.directionalLightShadows.value = lights.state.directionalShadow;\\n uniforms.spotLights.value = lights.state.spot;\\n uniforms.spotLightShadows.value = lights.state.spotShadow;\\n uniforms.rectAreaLights.value = lights.state.rectArea;\\n uniforms.ltc_1.value = lights.state.rectAreaLTC1;\\n uniforms.ltc_2.value = lights.state.rectAreaLTC2;\\n uniforms.pointLights.value = lights.state.point;\\n uniforms.pointLightShadows.value = lights.state.pointShadow;\\n uniforms.hemisphereLights.value = lights.state.hemi;\\n uniforms.directionalShadowMap.value = lights.state.directionalShadowMap;\\n uniforms.directionalShadowMatrix.value = lights.state.directionalShadowMatrix;\\n uniforms.spotShadowMap.value = lights.state.spotShadowMap;\\n uniforms.spotShadowMatrix.value = lights.state.spotShadowMatrix;\\n uniforms.pointShadowMap.value = lights.state.pointShadowMap;\\n uniforms.pointShadowMatrix.value = lights.state.pointShadowMatrix;\\n }\\n const progUniforms = program.getUniforms();\\n const uniformsList = WebGLUniforms.seqWithValue(progUniforms.seq, uniforms);\\n materialProperties.currentProgram = program;\\n materialProperties.uniformsList = uniformsList;\\n return program;\\n }\\n function updateCommonMaterialProperties(material, parameters2) {\\n const materialProperties = properties.get(material);\\n materialProperties.outputEncoding = parameters2.outputEncoding;\\n materialProperties.instancing = parameters2.instancing;\\n materialProperties.skinning = parameters2.skinning;\\n materialProperties.morphTargets = parameters2.morphTargets;\\n materialProperties.morphNormals = parameters2.morphNormals;\\n materialProperties.morphTargetsCount = parameters2.morphTargetsCount;\\n materialProperties.numClippingPlanes = parameters2.numClippingPlanes;\\n materialProperties.numIntersection = parameters2.numClipIntersection;\\n materialProperties.vertexAlphas = parameters2.vertexAlphas;\\n materialProperties.vertexTangents = parameters2.vertexTangents;\\n }\\n function setProgram(camera, scene, geometry, material, object) {\\n if (scene.isScene !== true)\\n scene = _emptyScene;\\n textures.resetTextureUnits();\\n const fog = scene.fog;\\n const environment = material.isMeshStandardMaterial ? scene.environment : null;\\n const encoding = _currentRenderTarget === null ? _this.outputEncoding : _currentRenderTarget.texture.encoding;\\n const envMap = (material.isMeshStandardMaterial ? cubeuvmaps : cubemaps).get(material.envMap || environment);\\n const vertexAlphas = material.vertexColors === true && !!geometry && !!geometry.attributes.color && geometry.attributes.color.itemSize === 4;\\n const vertexTangents = !!material.normalMap && !!geometry && !!geometry.attributes.tangent;\\n const morphTargets = !!geometry && !!geometry.morphAttributes.position;\\n const morphNormals = !!geometry && !!geometry.morphAttributes.normal;\\n const morphTargetsCount = !!geometry && !!geometry.morphAttributes.position ? geometry.morphAttributes.position.length : 0;\\n const materialProperties = properties.get(material);\\n const lights = currentRenderState.state.lights;\\n if (_clippingEnabled === true) {\\n if (_localClippingEnabled === true || camera !== _currentCamera) {\\n const useCache = camera === _currentCamera && material.id === _currentMaterialId;\\n clipping.setState(material, camera, useCache);\\n }\\n }\\n let needsProgramChange = false;\\n if (material.version === materialProperties.__version) {\\n if (materialProperties.needsLights && materialProperties.lightsStateVersion !== lights.state.version) {\\n needsProgramChange = true;\\n } else if (materialProperties.outputEncoding !== encoding) {\\n needsProgramChange = true;\\n } else if (object.isInstancedMesh && materialProperties.instancing === false) {\\n needsProgramChange = true;\\n } else if (!object.isInstancedMesh && materialProperties.instancing === true) {\\n needsProgramChange = true;\\n } else if (object.isSkinnedMesh && materialProperties.skinning === false) {\\n needsProgramChange = true;\\n } else if (!object.isSkinnedMesh && materialProperties.skinning === true) {\\n needsProgramChange = true;\\n } else if (materialProperties.envMap !== envMap) {\\n needsProgramChange = true;\\n } else if (material.fog && materialProperties.fog !== fog) {\\n needsProgramChange = true;\\n } else if (materialProperties.numClippingPlanes !== void 0 && (materialProperties.numClippingPlanes !== clipping.numPlanes || materialProperties.numIntersection !== clipping.numIntersection)) {\\n needsProgramChange = true;\\n } else if (materialProperties.vertexAlphas !== vertexAlphas) {\\n needsProgramChange = true;\\n } else if (materialProperties.vertexTangents !== vertexTangents) {\\n needsProgramChange = true;\\n } else if (materialProperties.morphTargets !== morphTargets) {\\n needsProgramChange = true;\\n } else if (materialProperties.morphNormals !== morphNormals) {\\n needsProgramChange = true;\\n } else if (capabilities.isWebGL2 === true && materialProperties.morphTargetsCount !== morphTargetsCount) {\\n needsProgramChange = true;\\n }\\n } else {\\n needsProgramChange = true;\\n materialProperties.__version = material.version;\\n }\\n let program = materialProperties.currentProgram;\\n if (needsProgramChange === true) {\\n program = getProgram(material, scene, object);\\n }\\n let refreshProgram = false;\\n let refreshMaterial = false;\\n let refreshLights = false;\\n const p_uniforms = program.getUniforms(), m_uniforms = materialProperties.uniforms;\\n if (state.useProgram(program.program)) {\\n refreshProgram = true;\\n refreshMaterial = true;\\n refreshLights = true;\\n }\\n if (material.id !== _currentMaterialId) {\\n _currentMaterialId = material.id;\\n refreshMaterial = true;\\n }\\n if (refreshProgram || _currentCamera !== camera) {\\n p_uniforms.setValue(_gl, \\\\\\\"projectionMatrix\\\\\\\", camera.projectionMatrix);\\n if (capabilities.logarithmicDepthBuffer) {\\n p_uniforms.setValue(_gl, \\\\\\\"logDepthBufFC\\\\\\\", 2 / (Math.log(camera.far + 1) / Math.LN2));\\n }\\n if (_currentCamera !== camera) {\\n _currentCamera = camera;\\n refreshMaterial = true;\\n refreshLights = true;\\n }\\n if (material.isShaderMaterial || material.isMeshPhongMaterial || material.isMeshToonMaterial || material.isMeshStandardMaterial || material.envMap) {\\n const uCamPos = p_uniforms.map.cameraPosition;\\n if (uCamPos !== void 0) {\\n uCamPos.setValue(_gl, _vector32.setFromMatrixPosition(camera.matrixWorld));\\n }\\n }\\n if (material.isMeshPhongMaterial || material.isMeshToonMaterial || material.isMeshLambertMaterial || material.isMeshBasicMaterial || material.isMeshStandardMaterial || material.isShaderMaterial) {\\n p_uniforms.setValue(_gl, \\\\\\\"isOrthographic\\\\\\\", camera.isOrthographicCamera === true);\\n }\\n if (material.isMeshPhongMaterial || material.isMeshToonMaterial || material.isMeshLambertMaterial || material.isMeshBasicMaterial || material.isMeshStandardMaterial || material.isShaderMaterial || material.isShadowMaterial || object.isSkinnedMesh) {\\n p_uniforms.setValue(_gl, \\\\\\\"viewMatrix\\\\\\\", camera.matrixWorldInverse);\\n }\\n }\\n if (object.isSkinnedMesh) {\\n p_uniforms.setOptional(_gl, object, \\\\\\\"bindMatrix\\\\\\\");\\n p_uniforms.setOptional(_gl, object, \\\\\\\"bindMatrixInverse\\\\\\\");\\n const skeleton = object.skeleton;\\n if (skeleton) {\\n if (capabilities.floatVertexTextures) {\\n if (skeleton.boneTexture === null)\\n skeleton.computeBoneTexture();\\n p_uniforms.setValue(_gl, \\\\\\\"boneTexture\\\\\\\", skeleton.boneTexture, textures);\\n p_uniforms.setValue(_gl, \\\\\\\"boneTextureSize\\\\\\\", skeleton.boneTextureSize);\\n } else {\\n p_uniforms.setOptional(_gl, skeleton, \\\\\\\"boneMatrices\\\\\\\");\\n }\\n }\\n }\\n if (!!geometry && (geometry.morphAttributes.position !== void 0 || geometry.morphAttributes.normal !== void 0)) {\\n morphtargets.update(object, geometry, material, program);\\n }\\n if (refreshMaterial || materialProperties.receiveShadow !== object.receiveShadow) {\\n materialProperties.receiveShadow = object.receiveShadow;\\n p_uniforms.setValue(_gl, \\\\\\\"receiveShadow\\\\\\\", object.receiveShadow);\\n }\\n if (refreshMaterial) {\\n p_uniforms.setValue(_gl, \\\\\\\"toneMappingExposure\\\\\\\", _this.toneMappingExposure);\\n if (materialProperties.needsLights) {\\n markUniformsLightsNeedsUpdate(m_uniforms, refreshLights);\\n }\\n if (fog && material.fog) {\\n materials2.refreshFogUniforms(m_uniforms, fog);\\n }\\n materials2.refreshMaterialUniforms(m_uniforms, material, _pixelRatio, _height, _transmissionRenderTarget);\\n WebGLUniforms.upload(_gl, materialProperties.uniformsList, m_uniforms, textures);\\n }\\n if (material.isShaderMaterial && material.uniformsNeedUpdate === true) {\\n WebGLUniforms.upload(_gl, materialProperties.uniformsList, m_uniforms, textures);\\n material.uniformsNeedUpdate = false;\\n }\\n if (material.isSpriteMaterial) {\\n p_uniforms.setValue(_gl, \\\\\\\"center\\\\\\\", object.center);\\n }\\n p_uniforms.setValue(_gl, \\\\\\\"modelViewMatrix\\\\\\\", object.modelViewMatrix);\\n p_uniforms.setValue(_gl, \\\\\\\"normalMatrix\\\\\\\", object.normalMatrix);\\n p_uniforms.setValue(_gl, \\\\\\\"modelMatrix\\\\\\\", object.matrixWorld);\\n return program;\\n }\\n function markUniformsLightsNeedsUpdate(uniforms, value) {\\n uniforms.ambientLightColor.needsUpdate = value;\\n uniforms.lightProbe.needsUpdate = value;\\n uniforms.directionalLights.needsUpdate = value;\\n uniforms.directionalLightShadows.needsUpdate = value;\\n uniforms.pointLights.needsUpdate = value;\\n uniforms.pointLightShadows.needsUpdate = value;\\n uniforms.spotLights.needsUpdate = value;\\n uniforms.spotLightShadows.needsUpdate = value;\\n uniforms.rectAreaLights.needsUpdate = value;\\n uniforms.hemisphereLights.needsUpdate = value;\\n }\\n function materialNeedsLights(material) {\\n return material.isMeshLambertMaterial || material.isMeshToonMaterial || material.isMeshPhongMaterial || material.isMeshStandardMaterial || material.isShadowMaterial || material.isShaderMaterial && material.lights === true;\\n }\\n this.getActiveCubeFace = function() {\\n return _currentActiveCubeFace;\\n };\\n this.getActiveMipmapLevel = function() {\\n return _currentActiveMipmapLevel;\\n };\\n this.getRenderTarget = function() {\\n return _currentRenderTarget;\\n };\\n this.setRenderTarget = function(renderTarget, activeCubeFace = 0, activeMipmapLevel = 0) {\\n _currentRenderTarget = renderTarget;\\n _currentActiveCubeFace = activeCubeFace;\\n _currentActiveMipmapLevel = activeMipmapLevel;\\n if (renderTarget && properties.get(renderTarget).__webglFramebuffer === void 0) {\\n textures.setupRenderTarget(renderTarget);\\n }\\n let framebuffer = null;\\n let isCube = false;\\n let isRenderTarget3D = false;\\n if (renderTarget) {\\n const texture = renderTarget.texture;\\n if (texture.isDataTexture3D || texture.isDataTexture2DArray) {\\n isRenderTarget3D = true;\\n }\\n const __webglFramebuffer = properties.get(renderTarget).__webglFramebuffer;\\n if (renderTarget.isWebGLCubeRenderTarget) {\\n framebuffer = __webglFramebuffer[activeCubeFace];\\n isCube = true;\\n } else if (renderTarget.isWebGLMultisampleRenderTarget) {\\n framebuffer = properties.get(renderTarget).__webglMultisampledFramebuffer;\\n } else {\\n framebuffer = __webglFramebuffer;\\n }\\n _currentViewport.copy(renderTarget.viewport);\\n _currentScissor.copy(renderTarget.scissor);\\n _currentScissorTest = renderTarget.scissorTest;\\n } else {\\n _currentViewport.copy(_viewport).multiplyScalar(_pixelRatio).floor();\\n _currentScissor.copy(_scissor).multiplyScalar(_pixelRatio).floor();\\n _currentScissorTest = _scissorTest;\\n }\\n const framebufferBound = state.bindFramebuffer(_gl.FRAMEBUFFER, framebuffer);\\n if (framebufferBound && capabilities.drawBuffers) {\\n let needsUpdate = false;\\n if (renderTarget) {\\n if (renderTarget.isWebGLMultipleRenderTargets) {\\n const textures2 = renderTarget.texture;\\n if (_currentDrawBuffers.length !== textures2.length || _currentDrawBuffers[0] !== _gl.COLOR_ATTACHMENT0) {\\n for (let i = 0, il = textures2.length; i < il; i++) {\\n _currentDrawBuffers[i] = _gl.COLOR_ATTACHMENT0 + i;\\n }\\n _currentDrawBuffers.length = textures2.length;\\n needsUpdate = true;\\n }\\n } else {\\n if (_currentDrawBuffers.length !== 1 || _currentDrawBuffers[0] !== _gl.COLOR_ATTACHMENT0) {\\n _currentDrawBuffers[0] = _gl.COLOR_ATTACHMENT0;\\n _currentDrawBuffers.length = 1;\\n needsUpdate = true;\\n }\\n }\\n } else {\\n if (_currentDrawBuffers.length !== 1 || _currentDrawBuffers[0] !== _gl.BACK) {\\n _currentDrawBuffers[0] = _gl.BACK;\\n _currentDrawBuffers.length = 1;\\n needsUpdate = true;\\n }\\n }\\n if (needsUpdate) {\\n if (capabilities.isWebGL2) {\\n _gl.drawBuffers(_currentDrawBuffers);\\n } else {\\n extensions.get(\\\\\\\"WEBGL_draw_buffers\\\\\\\").drawBuffersWEBGL(_currentDrawBuffers);\\n }\\n }\\n }\\n state.viewport(_currentViewport);\\n state.scissor(_currentScissor);\\n state.setScissorTest(_currentScissorTest);\\n if (isCube) {\\n const textureProperties = properties.get(renderTarget.texture);\\n _gl.framebufferTexture2D(_gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, _gl.TEXTURE_CUBE_MAP_POSITIVE_X + activeCubeFace, textureProperties.__webglTexture, activeMipmapLevel);\\n } else if (isRenderTarget3D) {\\n const textureProperties = properties.get(renderTarget.texture);\\n const layer = activeCubeFace || 0;\\n _gl.framebufferTextureLayer(_gl.FRAMEBUFFER, _gl.COLOR_ATTACHMENT0, textureProperties.__webglTexture, activeMipmapLevel || 0, layer);\\n }\\n _currentMaterialId = -1;\\n };\\n this.readRenderTargetPixels = function(renderTarget, x, y, width, height, buffer, activeCubeFaceIndex) {\\n if (!(renderTarget && renderTarget.isWebGLRenderTarget)) {\\n console.error(\\\\\\\"THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not THREE.WebGLRenderTarget.\\\\\\\");\\n return;\\n }\\n let framebuffer = properties.get(renderTarget).__webglFramebuffer;\\n if (renderTarget.isWebGLCubeRenderTarget && activeCubeFaceIndex !== void 0) {\\n framebuffer = framebuffer[activeCubeFaceIndex];\\n }\\n if (framebuffer) {\\n state.bindFramebuffer(_gl.FRAMEBUFFER, framebuffer);\\n try {\\n const texture = renderTarget.texture;\\n const textureFormat = texture.format;\\n const textureType = texture.type;\\n if (textureFormat !== RGBAFormat && utils.convert(textureFormat) !== _gl.getParameter(_gl.IMPLEMENTATION_COLOR_READ_FORMAT)) {\\n console.error(\\\\\\\"THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in RGBA or implementation defined format.\\\\\\\");\\n return;\\n }\\n const halfFloatSupportedByExt = textureType === HalfFloatType && (extensions.has(\\\\\\\"EXT_color_buffer_half_float\\\\\\\") || capabilities.isWebGL2 && extensions.has(\\\\\\\"EXT_color_buffer_float\\\\\\\"));\\n if (textureType !== UnsignedByteType && utils.convert(textureType) !== _gl.getParameter(_gl.IMPLEMENTATION_COLOR_READ_TYPE) && !(textureType === FloatType && (capabilities.isWebGL2 || extensions.has(\\\\\\\"OES_texture_float\\\\\\\") || extensions.has(\\\\\\\"WEBGL_color_buffer_float\\\\\\\"))) && !halfFloatSupportedByExt) {\\n console.error(\\\\\\\"THREE.WebGLRenderer.readRenderTargetPixels: renderTarget is not in UnsignedByteType or implementation defined type.\\\\\\\");\\n return;\\n }\\n if (_gl.checkFramebufferStatus(_gl.FRAMEBUFFER) === _gl.FRAMEBUFFER_COMPLETE) {\\n if (x >= 0 && x <= renderTarget.width - width && (y >= 0 && y <= renderTarget.height - height)) {\\n _gl.readPixels(x, y, width, height, utils.convert(textureFormat), utils.convert(textureType), buffer);\\n }\\n } else {\\n console.error(\\\\\\\"THREE.WebGLRenderer.readRenderTargetPixels: readPixels from renderTarget failed. Framebuffer not complete.\\\\\\\");\\n }\\n } finally {\\n const framebuffer2 = _currentRenderTarget !== null ? properties.get(_currentRenderTarget).__webglFramebuffer : null;\\n state.bindFramebuffer(_gl.FRAMEBUFFER, framebuffer2);\\n }\\n }\\n };\\n this.copyFramebufferToTexture = function(position, texture, level = 0) {\\n const levelScale = Math.pow(2, -level);\\n const width = Math.floor(texture.image.width * levelScale);\\n const height = Math.floor(texture.image.height * levelScale);\\n let glFormat = utils.convert(texture.format);\\n if (capabilities.isWebGL2) {\\n if (glFormat === _gl.RGB)\\n glFormat = _gl.RGB8;\\n if (glFormat === _gl.RGBA)\\n glFormat = _gl.RGBA8;\\n }\\n textures.setTexture2D(texture, 0);\\n _gl.copyTexImage2D(_gl.TEXTURE_2D, level, glFormat, position.x, position.y, width, height, 0);\\n state.unbindTexture();\\n };\\n this.copyTextureToTexture = function(position, srcTexture, dstTexture, level = 0) {\\n const width = srcTexture.image.width;\\n const height = srcTexture.image.height;\\n const glFormat = utils.convert(dstTexture.format);\\n const glType = utils.convert(dstTexture.type);\\n textures.setTexture2D(dstTexture, 0);\\n _gl.pixelStorei(_gl.UNPACK_FLIP_Y_WEBGL, dstTexture.flipY);\\n _gl.pixelStorei(_gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, dstTexture.premultiplyAlpha);\\n _gl.pixelStorei(_gl.UNPACK_ALIGNMENT, dstTexture.unpackAlignment);\\n if (srcTexture.isDataTexture) {\\n _gl.texSubImage2D(_gl.TEXTURE_2D, level, position.x, position.y, width, height, glFormat, glType, srcTexture.image.data);\\n } else {\\n if (srcTexture.isCompressedTexture) {\\n _gl.compressedTexSubImage2D(_gl.TEXTURE_2D, level, position.x, position.y, srcTexture.mipmaps[0].width, srcTexture.mipmaps[0].height, glFormat, srcTexture.mipmaps[0].data);\\n } else {\\n _gl.texSubImage2D(_gl.TEXTURE_2D, level, position.x, position.y, glFormat, glType, srcTexture.image);\\n }\\n }\\n if (level === 0 && dstTexture.generateMipmaps)\\n _gl.generateMipmap(_gl.TEXTURE_2D);\\n state.unbindTexture();\\n };\\n this.copyTextureToTexture3D = function(sourceBox, position, srcTexture, dstTexture, level = 0) {\\n if (_this.isWebGL1Renderer) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer.copyTextureToTexture3D: can only be used with WebGL2.\\\\\\\");\\n return;\\n }\\n const width = sourceBox.max.x - sourceBox.min.x + 1;\\n const height = sourceBox.max.y - sourceBox.min.y + 1;\\n const depth2 = sourceBox.max.z - sourceBox.min.z + 1;\\n const glFormat = utils.convert(dstTexture.format);\\n const glType = utils.convert(dstTexture.type);\\n let glTarget;\\n if (dstTexture.isDataTexture3D) {\\n textures.setTexture3D(dstTexture, 0);\\n glTarget = _gl.TEXTURE_3D;\\n } else if (dstTexture.isDataTexture2DArray) {\\n textures.setTexture2DArray(dstTexture, 0);\\n glTarget = _gl.TEXTURE_2D_ARRAY;\\n } else {\\n console.warn(\\\\\\\"THREE.WebGLRenderer.copyTextureToTexture3D: only supports THREE.DataTexture3D and THREE.DataTexture2DArray.\\\\\\\");\\n return;\\n }\\n _gl.pixelStorei(_gl.UNPACK_FLIP_Y_WEBGL, dstTexture.flipY);\\n _gl.pixelStorei(_gl.UNPACK_PREMULTIPLY_ALPHA_WEBGL, dstTexture.premultiplyAlpha);\\n _gl.pixelStorei(_gl.UNPACK_ALIGNMENT, dstTexture.unpackAlignment);\\n const unpackRowLen = _gl.getParameter(_gl.UNPACK_ROW_LENGTH);\\n const unpackImageHeight = _gl.getParameter(_gl.UNPACK_IMAGE_HEIGHT);\\n const unpackSkipPixels = _gl.getParameter(_gl.UNPACK_SKIP_PIXELS);\\n const unpackSkipRows = _gl.getParameter(_gl.UNPACK_SKIP_ROWS);\\n const unpackSkipImages = _gl.getParameter(_gl.UNPACK_SKIP_IMAGES);\\n const image = srcTexture.isCompressedTexture ? srcTexture.mipmaps[0] : srcTexture.image;\\n _gl.pixelStorei(_gl.UNPACK_ROW_LENGTH, image.width);\\n _gl.pixelStorei(_gl.UNPACK_IMAGE_HEIGHT, image.height);\\n _gl.pixelStorei(_gl.UNPACK_SKIP_PIXELS, sourceBox.min.x);\\n _gl.pixelStorei(_gl.UNPACK_SKIP_ROWS, sourceBox.min.y);\\n _gl.pixelStorei(_gl.UNPACK_SKIP_IMAGES, sourceBox.min.z);\\n if (srcTexture.isDataTexture || srcTexture.isDataTexture3D) {\\n _gl.texSubImage3D(glTarget, level, position.x, position.y, position.z, width, height, depth2, glFormat, glType, image.data);\\n } else {\\n if (srcTexture.isCompressedTexture) {\\n console.warn(\\\\\\\"THREE.WebGLRenderer.copyTextureToTexture3D: untested support for compressed srcTexture.\\\\\\\");\\n _gl.compressedTexSubImage3D(glTarget, level, position.x, position.y, position.z, width, height, depth2, glFormat, image.data);\\n } else {\\n _gl.texSubImage3D(glTarget, level, position.x, position.y, position.z, width, height, depth2, glFormat, glType, image);\\n }\\n }\\n _gl.pixelStorei(_gl.UNPACK_ROW_LENGTH, unpackRowLen);\\n _gl.pixelStorei(_gl.UNPACK_IMAGE_HEIGHT, unpackImageHeight);\\n _gl.pixelStorei(_gl.UNPACK_SKIP_PIXELS, unpackSkipPixels);\\n _gl.pixelStorei(_gl.UNPACK_SKIP_ROWS, unpackSkipRows);\\n _gl.pixelStorei(_gl.UNPACK_SKIP_IMAGES, unpackSkipImages);\\n if (level === 0 && dstTexture.generateMipmaps)\\n _gl.generateMipmap(glTarget);\\n state.unbindTexture();\\n };\\n this.initTexture = function(texture) {\\n textures.setTexture2D(texture, 0);\\n state.unbindTexture();\\n };\\n this.resetState = function() {\\n _currentActiveCubeFace = 0;\\n _currentActiveMipmapLevel = 0;\\n _currentRenderTarget = null;\\n state.reset();\\n bindingStates.reset();\\n };\\n if (typeof __THREE_DEVTOOLS__ !== \\\\\\\"undefined\\\\\\\") {\\n __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent(\\\\\\\"observe\\\\\\\", {detail: this}));\\n }\\n}\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/RenderersController.ts\\nvar CONTEXT_OPTIONS = {};\\nvar WebGLContext;\\n(function(WebGLContext2) {\\n WebGLContext2[\\\\\\\"WEBGL\\\\\\\"] = \\\\\\\"webgl\\\\\\\";\\n WebGLContext2[\\\\\\\"WEBGL2\\\\\\\"] = \\\\\\\"webgl2\\\\\\\";\\n WebGLContext2[\\\\\\\"EXPERIMENTAL_WEBGL\\\\\\\"] = \\\\\\\"experimental-webgl\\\\\\\";\\n WebGLContext2[\\\\\\\"EXPERIMENTAL_WEBGL2\\\\\\\"] = \\\\\\\"experimental-webgl2\\\\\\\";\\n})(WebGLContext || (WebGLContext = {}));\\nvar RenderersController = class {\\n constructor() {\\n this._next_renderer_id = 0;\\n this._renderers = {};\\n this._printDebug = false;\\n this._require_webgl2 = false;\\n this._resolves = [];\\n }\\n setPrintDebug(state = true) {\\n this._printDebug = state;\\n }\\n printDebug() {\\n return this._printDebug;\\n }\\n printDebugMessage(message) {\\n if (!this._printDebug) {\\n return;\\n }\\n console.warn(\\\\\\\"[Poly debug]\\\\\\\", message);\\n }\\n setRequireWebGL2() {\\n if (!this._require_webgl2) {\\n this._require_webgl2 = true;\\n }\\n }\\n webgl2Available() {\\n if (this._webgl2_available === void 0) {\\n this._webgl2_available = this._set_webgl2_available();\\n }\\n return this._webgl2_available;\\n }\\n _set_webgl2_available() {\\n const canvas = document.createElement(\\\\\\\"canvas\\\\\\\");\\n return (window.WebGL2RenderingContext && canvas.getContext(WebGLContext.WEBGL2)) != null;\\n }\\n createWebGLRenderer(params) {\\n const renderer = new WebGLRenderer(params);\\n this.printDebugMessage([`create renderer:`, params]);\\n return renderer;\\n }\\n createRenderingContext(canvas) {\\n let gl = null;\\n if (this._require_webgl2) {\\n gl = this._getRenderingContextWebgl(canvas, true);\\n if (!gl) {\\n console.warn(\\\\\\\"failed to create webgl2 context\\\\\\\");\\n }\\n }\\n if (!gl) {\\n gl = this._getRenderingContextWebgl(canvas, false);\\n }\\n return gl;\\n }\\n _getRenderingContextWebgl(canvas, webgl2) {\\n let context_name;\\n if (this.webgl2Available()) {\\n context_name = WebGLContext.WEBGL2;\\n } else {\\n context_name = webgl2 ? WebGLContext.WEBGL2 : WebGLContext.WEBGL;\\n }\\n let gl = canvas.getContext(context_name, CONTEXT_OPTIONS);\\n if (gl) {\\n this.printDebugMessage(`create gl context: ${context_name}.`);\\n } else {\\n context_name = webgl2 ? WebGLContext.EXPERIMENTAL_WEBGL2 : WebGLContext.EXPERIMENTAL_WEBGL;\\n this.printDebugMessage(`create gl context: ${context_name}.`);\\n gl = canvas.getContext(context_name, CONTEXT_OPTIONS);\\n }\\n return gl;\\n }\\n registerRenderer(renderer) {\\n if (renderer._polygon_id) {\\n throw new Error(\\\\\\\"render already registered\\\\\\\");\\n }\\n renderer._polygon_id = this._next_renderer_id += 1;\\n this._renderers[renderer._polygon_id] = renderer;\\n if (Object.keys(this._renderers).length == 1) {\\n this.flush_callbacks_with_renderer(renderer);\\n }\\n }\\n deregisterRenderer(renderer) {\\n delete this._renderers[renderer._polygon_id];\\n renderer.dispose();\\n }\\n firstRenderer() {\\n const first_id = Object.keys(this._renderers)[0];\\n if (first_id) {\\n return this._renderers[first_id];\\n }\\n return null;\\n }\\n renderers() {\\n return Object.values(this._renderers);\\n }\\n flush_callbacks_with_renderer(renderer) {\\n let callback;\\n while (callback = this._resolves.pop()) {\\n callback(renderer);\\n }\\n }\\n async waitForRenderer() {\\n const renderer = this.firstRenderer();\\n if (renderer) {\\n return renderer;\\n } else {\\n return new Promise((resolve, reject) => {\\n this._resolves.push(resolve);\\n });\\n }\\n }\\n renderTarget(width, height, parameters) {\\n if (this.webgl2Available()) {\\n return new WebGLMultisampleRenderTarget(width, height, parameters);\\n } else {\\n return new WebGLRenderTarget(width, height, parameters);\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/PolyLibsController.ts\\nvar PolyLibsController = class {\\n constructor() {\\n this._root = \\\\\\\"/three/js/libs\\\\\\\";\\n this._BASISPath = \\\\\\\"/basis\\\\\\\";\\n this._DRACOPath = \\\\\\\"/draco\\\\\\\";\\n this._DRACOGLTFPath = \\\\\\\"/draco/gltf\\\\\\\";\\n }\\n root() {\\n return this._root;\\n }\\n setRoot(url) {\\n this._root = url;\\n }\\n BASISPath() {\\n return this._BASISPath;\\n }\\n DRACOPath() {\\n return this._DRACOPath;\\n }\\n DRACOGLTFPath() {\\n return this._DRACOGLTFPath;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/nodes/NodesRegister.ts\\nvar NodesRegister = class {\\n constructor(poly) {\\n this.poly = poly;\\n this._node_register = new Map();\\n this._node_register_categories = new Map();\\n this._node_register_options = new Map();\\n }\\n static type(node) {\\n return this.filterType(node.type());\\n }\\n static filterType(nodeType) {\\n return nodeType.toLowerCase();\\n }\\n register(node, tab_menu_category, options) {\\n const context = node.context();\\n const nodeType = NodesRegister.type(node);\\n let current_nodes_for_context = this._node_register.get(context);\\n if (!current_nodes_for_context) {\\n current_nodes_for_context = new Map();\\n this._node_register.set(context, current_nodes_for_context);\\n }\\n const already_registered_node = current_nodes_for_context.get(nodeType);\\n if (already_registered_node) {\\n console.error(`node ${context}/${nodeType} already registered`);\\n return;\\n }\\n current_nodes_for_context.set(nodeType, node);\\n if (tab_menu_category) {\\n let current_categories = this._node_register_categories.get(context);\\n if (!current_categories) {\\n current_categories = new Map();\\n this._node_register_categories.set(context, current_categories);\\n }\\n current_categories.set(nodeType, tab_menu_category);\\n }\\n if (options) {\\n let current_options = this._node_register_options.get(context);\\n if (!current_options) {\\n current_options = new Map();\\n this._node_register_options.set(context, current_options);\\n }\\n current_options.set(nodeType, options);\\n }\\n this.poly.pluginsRegister.registerNode(node);\\n }\\n deregister(context, nodeType) {\\n nodeType = NodesRegister.filterType(nodeType);\\n this._node_register.get(context)?.delete(nodeType);\\n this._node_register_categories.get(context)?.delete(nodeType);\\n this._node_register_options.get(context)?.delete(nodeType);\\n }\\n isRegistered(context, nodeType) {\\n const nodes_for_context = this._node_register.get(context);\\n if (!nodes_for_context) {\\n return false;\\n }\\n nodeType = NodesRegister.filterType(nodeType);\\n return nodes_for_context.get(nodeType) != null;\\n }\\n nodeOptions(context, nodeType) {\\n nodeType = NodesRegister.filterType(nodeType);\\n return this._node_register_options.get(context)?.get(nodeType);\\n }\\n registeredNodesForContextAndParentType(context, parent_node_type) {\\n const map = this._node_register.get(context);\\n if (map) {\\n const nodes_for_context = [];\\n this._node_register.get(context)?.forEach((node, type) => {\\n nodes_for_context.push(node);\\n });\\n return nodes_for_context.filter((node) => {\\n const nodeType = NodesRegister.type(node);\\n const options = this._node_register_options.get(context)?.get(nodeType);\\n if (!options) {\\n return true;\\n } else {\\n const option_only = options[\\\\\\\"only\\\\\\\"];\\n const option_except = options[\\\\\\\"except\\\\\\\"];\\n const context_and_type = `${context}/${parent_node_type}`;\\n if (option_only) {\\n return option_only.includes(context_and_type);\\n }\\n if (option_except) {\\n return !option_except.includes(context_and_type);\\n }\\n return true;\\n }\\n });\\n } else {\\n return [];\\n }\\n }\\n registeredNodes(context, parentNodeType) {\\n const nodesByType = {};\\n const nodes = this.registeredNodesForContextAndParentType(context, parentNodeType);\\n for (let node of nodes) {\\n const nodeType = NodesRegister.type(node);\\n nodesByType[nodeType] = node;\\n }\\n return nodesByType;\\n }\\n registeredCategory(context, nodeType) {\\n nodeType = NodesRegister.filterType(nodeType);\\n return this._node_register_categories.get(context)?.get(nodeType);\\n }\\n map() {\\n return this._node_register;\\n }\\n};\\nvar OperationsRegister = class {\\n constructor(poly) {\\n this.poly = poly;\\n this._operation_register = new Map();\\n }\\n static type(node) {\\n return this.filterType(node.type());\\n }\\n static filterType(nodeType) {\\n return nodeType.toLowerCase();\\n }\\n register(operation) {\\n const context = operation.context();\\n let current_operations_for_context = this._operation_register.get(context);\\n if (!current_operations_for_context) {\\n current_operations_for_context = new Map();\\n this._operation_register.set(context, current_operations_for_context);\\n }\\n const operationType = OperationsRegister.type(operation);\\n const already_registered_operation = current_operations_for_context.get(operationType);\\n if (already_registered_operation) {\\n const message = `operation ${context}/${operationType} already registered`;\\n console.error(message);\\n return;\\n }\\n current_operations_for_context.set(operationType, operation);\\n this.poly.pluginsRegister.registerOperation(operation);\\n }\\n registeredOperationsForContextAndParentType(context, parentNodeType) {\\n const map = this._operation_register.get(context);\\n if (map) {\\n const nodes_for_context = [];\\n this._operation_register.get(context)?.forEach((operation, type) => {\\n nodes_for_context.push(operation);\\n });\\n return nodes_for_context;\\n } else {\\n return [];\\n }\\n }\\n registeredOperation(context, operationType) {\\n const current_operations_for_context = this._operation_register.get(context);\\n if (current_operations_for_context) {\\n operationType = OperationsRegister.filterType(operationType);\\n return current_operations_for_context.get(operationType);\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/expressions/_BaseRegister.ts\\nvar BaseExpressionRegister = class {\\n constructor() {\\n this._methods_names = [];\\n this._methods_by_name = new Map();\\n }\\n register(expression, name) {\\n this._methods_names.push(name);\\n this._methods_by_name.set(name, expression);\\n }\\n getMethod(name) {\\n return this._methods_by_name.get(name);\\n }\\n availableMethods() {\\n return this._methods_names;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/expressions/ExpressionRegister.ts\\nvar ExpressionRegister = class extends BaseExpressionRegister {\\n getMethod(name) {\\n return super.getMethod(name);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/modules/_BaseRegister.ts\\nvar BaseModulesRegister = class {\\n constructor() {\\n this._module_by_name = new Map();\\n }\\n register(name, module) {\\n this._module_by_name.set(name, module);\\n }\\n moduleNames() {\\n const list = [];\\n this._module_by_name.forEach((module, moduleName) => {\\n list.push(moduleName);\\n });\\n return list;\\n }\\n module(moduleName) {\\n return this._module_by_name.get(moduleName);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/modules/DynamicModulesRegister.ts\\nvar DynamicModulesRegister = class extends BaseModulesRegister {\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/assemblers/_BaseRegister.ts\\nvar AssemblerName;\\n(function(AssemblerName3) {\\n AssemblerName3[\\\\\\\"GL_MESH_BASIC\\\\\\\"] = \\\\\\\"GL_MESH_BASIC\\\\\\\";\\n AssemblerName3[\\\\\\\"GL_MESH_LAMBERT\\\\\\\"] = \\\\\\\"GL_MESH_LAMBERT\\\\\\\";\\n AssemblerName3[\\\\\\\"GL_MESH_STANDARD\\\\\\\"] = \\\\\\\"GL_MESH_STANDARD\\\\\\\";\\n AssemblerName3[\\\\\\\"GL_MESH_PHONG\\\\\\\"] = \\\\\\\"GL_MESH_PHONG\\\\\\\";\\n AssemblerName3[\\\\\\\"GL_MESH_PHYSICAL\\\\\\\"] = \\\\\\\"GL_MESH_PHYSICAL\\\\\\\";\\n AssemblerName3[\\\\\\\"GL_PARTICLES\\\\\\\"] = \\\\\\\"GL_PARTICLES\\\\\\\";\\n AssemblerName3[\\\\\\\"GL_POINTS\\\\\\\"] = \\\\\\\"GL_POINTS\\\\\\\";\\n AssemblerName3[\\\\\\\"GL_LINE\\\\\\\"] = \\\\\\\"GL_LINE\\\\\\\";\\n AssemblerName3[\\\\\\\"GL_TEXTURE\\\\\\\"] = \\\\\\\"GL_TEXTURE\\\\\\\";\\n AssemblerName3[\\\\\\\"GL_VOLUME\\\\\\\"] = \\\\\\\"GL_VOLUME\\\\\\\";\\n})(AssemblerName || (AssemblerName = {}));\\nvar BaseAssemblersRegister = class {\\n constructor() {\\n this._controller_assembler_by_name = new Map();\\n }\\n register(name, controller, assembler) {\\n this._controller_assembler_by_name.set(name, {\\n controller,\\n assembler\\n });\\n }\\n unregister(name) {\\n this._controller_assembler_by_name.delete(name);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/assemblers/AssemblersRegistry.ts\\nvar AssemblersRegister = class extends BaseAssemblersRegister {\\n assembler(node, name) {\\n const pair = this._controller_assembler_by_name.get(name);\\n if (pair) {\\n const controller = pair.controller;\\n const assembler = pair.assembler;\\n return new controller(node, assembler);\\n }\\n return pair;\\n }\\n unregister(name) {\\n const pair = this._controller_assembler_by_name.get(name);\\n super.unregister(name);\\n return pair;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/plugins/PluginsRegister.ts\\nvar PluginsRegister = class {\\n constructor(poly) {\\n this.poly = poly;\\n this._plugins_by_name = new Map();\\n this._plugin_name_by_node_context_by_type = new Map();\\n this._plugin_name_by_operation_context_by_type = new Map();\\n }\\n register(plugin) {\\n this._current_plugin = plugin;\\n this._plugins_by_name.set(plugin.name(), plugin);\\n plugin.init(this.poly);\\n this._current_plugin = void 0;\\n }\\n pluginByName(pluginName) {\\n return this._plugins_by_name.get(pluginName);\\n }\\n registerNode(node) {\\n if (!this._current_plugin) {\\n return;\\n }\\n const context = node.context();\\n const type = node.type();\\n let map_for_context = this._plugin_name_by_node_context_by_type.get(context);\\n if (!map_for_context) {\\n map_for_context = new Map();\\n this._plugin_name_by_node_context_by_type.set(context, map_for_context);\\n }\\n map_for_context.set(type, this._current_plugin.name());\\n }\\n registerOperation(operation) {\\n if (!this._current_plugin) {\\n return;\\n }\\n const context = operation.context();\\n const type = operation.type();\\n let map_for_context = this._plugin_name_by_operation_context_by_type.get(context);\\n if (!map_for_context) {\\n map_for_context = new Map();\\n this._plugin_name_by_operation_context_by_type.set(context, map_for_context);\\n }\\n map_for_context.set(type, this._current_plugin.name());\\n }\\n toJson() {\\n const data = {\\n plugins: {},\\n nodes: {},\\n operations: {}\\n };\\n this._plugins_by_name.forEach((plugin, name) => {\\n data.plugins[name] = plugin.toJSON();\\n });\\n this._plugin_name_by_node_context_by_type.forEach((map_for_context, context) => {\\n data.nodes[context] = {};\\n map_for_context.forEach((plugin_name, type) => {\\n data.nodes[context][type] = plugin_name;\\n });\\n });\\n this._plugin_name_by_operation_context_by_type.forEach((map_for_context, context) => {\\n data.operations[context] = {};\\n map_for_context.forEach((plugin_name, type) => {\\n data.operations[context][type] = plugin_name;\\n });\\n });\\n return data;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/cameras/CamerasRegister.ts\\nvar CamerasRegister = class {\\n constructor(poly) {\\n this._camera_types = [];\\n }\\n register(node) {\\n const node_type = node.type();\\n if (!this._camera_types.includes(node_type)) {\\n this._camera_types.push(node_type);\\n }\\n }\\n registeredTypes() {\\n return this._camera_types;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/BlobUtils.ts\\nfunction createObjectURL(fileOrBlob) {\\n const urlCreator = window.URL || window.webkitURL;\\n return urlCreator.createObjectURL(fileOrBlob);\\n}\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/BlobsController.ts\\nvar BlobsController = class {\\n constructor() {\\n this._blobUrlsByStoredUrl = new Map();\\n this._blobsByStoredUrl = new Map();\\n this._blobDataByNodeId = new Map();\\n this._globalBlobsByStoredUrl = new Map();\\n }\\n registerBlobUrl(data) {\\n if (!Poly.playerMode()) {\\n return;\\n }\\n this._blobUrlsByStoredUrl.set(data.storedUrl, data.blobUrl);\\n }\\n deregisterUrl(url) {\\n this._blobUrlsByStoredUrl.delete(url);\\n }\\n blobUrl(storedUrl) {\\n return this._blobUrlsByStoredUrl.get(storedUrl);\\n }\\n clear() {\\n this._blobUrlsByStoredUrl.clear();\\n this._blobsByStoredUrl.clear();\\n this._blobDataByNodeId.clear();\\n }\\n _clearBlobForNode(node) {\\n const blobData = this._blobDataByNodeId.get(node.graphNodeId());\\n if (blobData) {\\n this._blobsByStoredUrl.delete(blobData.storedUrl);\\n this._blobUrlsByStoredUrl.delete(blobData.storedUrl);\\n }\\n this._blobDataByNodeId.delete(node.graphNodeId());\\n }\\n _assignBlobToNode(node, blobData) {\\n this._clearBlobForNode(node);\\n this._blobDataByNodeId.set(node.graphNodeId(), {\\n storedUrl: blobData.storedUrl,\\n fullUrl: blobData.fullUrl\\n });\\n }\\n async fetchBlobGlobal(options) {\\n if (Poly.playerMode()) {\\n return {};\\n }\\n try {\\n const existingBlob = this._blobUrlsByStoredUrl.get(options.storedUrl);\\n if (existingBlob) {\\n return {};\\n }\\n const remapedUrl = Poly.assetUrls.remapedUrl(options.fullUrl);\\n const response = await fetch(remapedUrl || options.fullUrl);\\n if (response.ok) {\\n const blob = await response.blob();\\n this._blobsByStoredUrl.set(options.storedUrl, blob);\\n this._blobUrlsByStoredUrl.set(options.storedUrl, this.createBlobUrl(blob));\\n this._globalBlobsByStoredUrl.set(options.storedUrl, blob);\\n return {\\n blobData: {\\n storedUrl: options.storedUrl,\\n fullUrl: options.fullUrl\\n }\\n };\\n } else {\\n return {error: `failed to fetch ${options.fullUrl}`};\\n }\\n } catch (err) {\\n return {error: `failed to fetch ${options.fullUrl}`};\\n }\\n }\\n async fetchBlobForNode(options) {\\n if (Poly.playerMode()) {\\n return {};\\n }\\n try {\\n const existingBlob = this._blobUrlsByStoredUrl.get(options.storedUrl);\\n if (existingBlob) {\\n return {};\\n }\\n const remapedUrl = Poly.assetUrls.remapedUrl(options.fullUrl);\\n const response = await fetch(remapedUrl || options.fullUrl);\\n if (response.ok) {\\n const blob = await response.blob();\\n this._blobsByStoredUrl.set(options.storedUrl, blob);\\n this._blobUrlsByStoredUrl.set(options.storedUrl, this.createBlobUrl(blob));\\n this._scene = options.node.scene();\\n this._assignBlobToNode(options.node, {\\n storedUrl: options.storedUrl,\\n fullUrl: options.fullUrl\\n });\\n return {\\n blobData: {\\n storedUrl: options.storedUrl,\\n fullUrl: options.fullUrl\\n }\\n };\\n } else {\\n return {error: `failed to fetch ${options.fullUrl}`};\\n }\\n } catch (err) {\\n return {error: `failed to fetch ${options.fullUrl}`};\\n }\\n }\\n forEachBlob(callback) {\\n this._blobDataByNodeId.forEach((blobData, nodeGraphNodeId) => {\\n if (this._scene) {\\n const node = this._scene.graph.nodeFromId(nodeGraphNodeId);\\n if (node) {\\n const {storedUrl} = blobData;\\n const blob = this._blobsByStoredUrl.get(storedUrl);\\n if (blob) {\\n callback(blob, storedUrl);\\n }\\n }\\n }\\n });\\n let storedUrls = [];\\n const blobsByStoreUrl = new Map();\\n this._globalBlobsByStoredUrl.forEach((blob, storedUrl) => {\\n storedUrls.push(storedUrl);\\n blobsByStoreUrl.set(storedUrl, blob);\\n });\\n storedUrls = storedUrls.sort();\\n storedUrls.forEach((storedUrl) => {\\n const blob = this._globalBlobsByStoredUrl.get(storedUrl);\\n if (blob) {\\n callback(blob, storedUrl);\\n }\\n });\\n }\\n createBlobUrl(blob) {\\n return createObjectURL(blob);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/AssetUrlsController.ts\\nvar AssetUrlsController = class {\\n setMap(map) {\\n this._map = map;\\n }\\n remapedUrl(url) {\\n if (!this._map) {\\n return;\\n }\\n const elements = url.split(\\\\\\\"?\\\\\\\");\\n const preQuery = elements[0];\\n const query = elements[1];\\n const remapedUrl = this._map[preQuery];\\n if (remapedUrl) {\\n if (query) {\\n return `${remapedUrl}?${query}`;\\n } else {\\n return remapedUrl;\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/DomEffects.ts\\nvar DomEffects = class {\\n static fadeOut(element) {\\n return new Promise((resolve) => {\\n const fadeEffect = setInterval(() => {\\n if (!element.style.opacity) {\\n element.style.opacity = \\\\\\\"1\\\\\\\";\\n }\\n const opacity = parseFloat(element.style.opacity);\\n if (opacity > 0) {\\n element.style.opacity = `${opacity - 0.05}`;\\n } else {\\n resolve();\\n clearInterval(fadeEffect);\\n }\\n }, 20);\\n });\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/io/self_contained/Common.ts\\nvar SelfContainedFileName;\\n(function(SelfContainedFileName2) {\\n SelfContainedFileName2[\\\\\\\"CODE\\\\\\\"] = \\\\\\\"code.json\\\\\\\";\\n SelfContainedFileName2[\\\\\\\"EDITOR\\\\\\\"] = \\\\\\\"editor.json\\\\\\\";\\n SelfContainedFileName2[\\\\\\\"ASSETS\\\\\\\"] = \\\\\\\"assets.json\\\\\\\";\\n SelfContainedFileName2[\\\\\\\"POLYGONJS\\\\\\\"] = \\\\\\\"js/all.js\\\\\\\";\\n SelfContainedFileName2[\\\\\\\"POLY_CONFIG\\\\\\\"] = \\\\\\\"js/polyConfig.js\\\\\\\";\\n SelfContainedFileName2[\\\\\\\"JS_FILES\\\\\\\"] = \\\\\\\"js_files.json\\\\\\\";\\n SelfContainedFileName2[\\\\\\\"POSTER\\\\\\\"] = \\\\\\\"poster.png\\\\\\\";\\n})(SelfContainedFileName || (SelfContainedFileName = {}));\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/SelfContainedSceneLoader.ts\\nvar SelfContainedScenesLoader = class {\\n markAsLoaded(callback, sceneJsonImporterContructor) {\\n this._sceneJsonImporterContructor = sceneJsonImporterContructor;\\n callback();\\n }\\n load(map) {\\n if (!this._sceneJsonImporterContructor) {\\n return;\\n }\\n const elements = [];\\n map.forEach((data, element) => {\\n elements.push(element);\\n });\\n for (let element of elements) {\\n const data = map.get(element);\\n if (data) {\\n this._loadElement(element, data, this._sceneJsonImporterContructor);\\n map.delete(element);\\n }\\n }\\n }\\n async _loadElement(element, viewerData, sceneJsonImporterContructor) {\\n const {sceneData, assetsManifest, unzippedData} = viewerData;\\n const storedUrls = Object.keys(assetsManifest);\\n for (let storedUrl of storedUrls) {\\n const assetUrl = assetsManifest[storedUrl];\\n const assetUintArray = unzippedData[`assets/${assetUrl}`];\\n if (!assetUintArray) {\\n console.error(storedUrl, assetUintArray);\\n return;\\n }\\n const assetBlob = new Blob([assetUintArray]);\\n const blobUrl = Poly.blobs.createBlobUrl(assetBlob);\\n const blobUrlData = {\\n storedUrl,\\n blobUrl\\n };\\n Poly.blobs.registerBlobUrl(blobUrlData);\\n }\\n Poly.setPlayerMode(true);\\n Poly.libs.setRoot(null);\\n const polyConfigId = `${Math.random()}`.replace(\\\\\\\".\\\\\\\", \\\\\\\"_\\\\\\\");\\n const ids = {\\n Poly: `___POLY_polyConfig_configurePolygonjs_${polyConfigId}`,\\n scriptElementId: `___POLY_polyConfig_scriptElement_${polyConfigId}`,\\n loadSceneArgs: `___POLY_polyConfig_loadSceneArgs_${polyConfigId}`\\n };\\n window[ids.Poly] = Poly;\\n const method = this._loadScene.bind(this);\\n const loadSceneArgs = {\\n method,\\n element,\\n sceneData,\\n sceneJsonImporterContructor\\n };\\n window[ids.loadSceneArgs] = loadSceneArgs;\\n const polyConfigLoaded = this._loadPolyConfig(ids, unzippedData);\\n if (polyConfigLoaded) {\\n return;\\n }\\n this._loadScene(element, sceneData, sceneJsonImporterContructor);\\n }\\n _loadPolyConfig(ids, unzippedData) {\\n const polyConfigArray = unzippedData[SelfContainedFileName.POLY_CONFIG];\\n if (!polyConfigArray) {\\n return false;\\n }\\n const polyConfigUrl = this._createJsBlob(polyConfigArray, \\\\\\\"polyConfig\\\\\\\");\\n let script = document.getElementById(ids.scriptElementId);\\n const lines = [];\\n lines.push(`import {configurePolygonjs, configureScene} from '${polyConfigUrl}';`);\\n lines.push(`configurePolygonjs(window.${ids.Poly});`);\\n lines.push(`window.${ids.loadSceneArgs}.method(window.${ids.loadSceneArgs}.element, window.${ids.loadSceneArgs}.sceneData, window.${ids.loadSceneArgs}.sceneJsonImporterContructor, configureScene);`);\\n lines.push(`delete window.${ids.loadSceneArgs};`);\\n if (!script) {\\n script = document.createElement(\\\\\\\"script\\\\\\\");\\n script.setAttribute(\\\\\\\"type\\\\\\\", \\\\\\\"module\\\\\\\");\\n script.text = lines.join(\\\\\\\"\\\\n\\\\\\\");\\n document.body.append(script);\\n }\\n return true;\\n }\\n async _loadScene(element, sceneData, sceneJsonImporterContructor, configureScene2) {\\n this._fadeOutPoster(element);\\n const importer = new sceneJsonImporterContructor(sceneData);\\n const scene = await importer.scene();\\n if (configureScene2) {\\n configureScene2(scene);\\n }\\n const cameraNode = scene.mainCameraNode();\\n if (!cameraNode) {\\n console.warn(\\\\\\\"no master camera found\\\\\\\");\\n return;\\n }\\n const viewer = cameraNode.createViewer(element);\\n scene.play();\\n element.scene = scene;\\n element.viewer = viewer;\\n }\\n _fadeOutPoster(element) {\\n const posterElement = element.firstElementChild;\\n if (posterElement) {\\n posterElement.style.pointerEvents = \\\\\\\"none\\\\\\\";\\n DomEffects.fadeOut(posterElement).then(() => {\\n posterElement.parentElement?.removeChild(posterElement);\\n });\\n }\\n }\\n _createJsBlob(array, filename) {\\n const blob = new Blob([array]);\\n const file = new File([blob], `${filename}.js`, {type: \\\\\\\"application/javascript\\\\\\\"});\\n return createObjectURL(file);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/PerformanceController.ts\\nvar PolyPerformanceformanceController = class {\\n setPerformanceManager(p) {\\n this._performanceManager = p;\\n }\\n performanceManager() {\\n return this._performanceManager || window.performance;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/Poly.ts\\nvar PolyEngine = class {\\n constructor() {\\n this.renderersController = new RenderersController();\\n this.nodesRegister = new NodesRegister(this);\\n this.operationsRegister = new OperationsRegister(this);\\n this.expressionsRegister = new ExpressionRegister();\\n this.modulesRegister = new DynamicModulesRegister();\\n this.assemblersRegister = new AssemblersRegister();\\n this.pluginsRegister = new PluginsRegister(this);\\n this.camerasRegister = new CamerasRegister(this);\\n this.blobs = new BlobsController();\\n this.assetUrls = new AssetUrlsController();\\n this.selfContainedScenesLoader = new SelfContainedScenesLoader();\\n this.performance = new PolyPerformanceformanceController();\\n this.scenesByUuid = {};\\n this._player_mode = true;\\n this._logger = null;\\n }\\n static _instance_() {\\n if (window.__POLYGONJS_POLY_INSTANCE__) {\\n return window.__POLYGONJS_POLY_INSTANCE__;\\n } else {\\n const instance = new PolyEngine();\\n window.__POLYGONJS_POLY_INSTANCE__ = instance;\\n return window.__POLYGONJS_POLY_INSTANCE__;\\n }\\n }\\n setPlayerMode(mode) {\\n this._player_mode = mode;\\n }\\n playerMode() {\\n return this._player_mode;\\n }\\n registerNode(node, tab_menu_category, options) {\\n this.nodesRegister.register(node, tab_menu_category, options);\\n }\\n registerOperation(operation) {\\n this.operationsRegister.register(operation);\\n }\\n registerCamera(node) {\\n this.camerasRegister.register(node);\\n }\\n registerPlugin(plugin) {\\n this.pluginsRegister.register(plugin);\\n }\\n registeredNodes(parent_context, type) {\\n return this.nodesRegister.registeredNodes(parent_context, type);\\n }\\n registeredOperation(parent_context, operation_type) {\\n return this.operationsRegister.registeredOperation(parent_context, operation_type);\\n }\\n registeredCameraTypes() {\\n return this.camerasRegister.registeredTypes();\\n }\\n inWorkerThread() {\\n return false;\\n }\\n desktopController() {\\n }\\n get libs() {\\n return this._libs_controller = this._libs_controller || new PolyLibsController();\\n }\\n setEnv(env) {\\n this._env = env;\\n }\\n env() {\\n return this._env;\\n }\\n setLogger(logger) {\\n this._logger = logger;\\n }\\n log(message, ...optionalParams) {\\n this._logger?.log(...[message, ...optionalParams]);\\n }\\n warn(message, ...optionalParams) {\\n this._logger?.warn(...[message, ...optionalParams]);\\n }\\n error(message, ...optionalParams) {\\n this._logger?.error(...[message, ...optionalParams]);\\n }\\n};\\nvar Poly = PolyEngine._instance_();\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/graph/DirtyController.ts\\nvar DirtyController = class {\\n constructor(node) {\\n this.node = node;\\n this._dirty_count = 0;\\n this._dirty = true;\\n }\\n dispose() {\\n this._cached_successors = void 0;\\n this._post_dirty_hooks = void 0;\\n this._post_dirty_hook_names = void 0;\\n }\\n isDirty() {\\n return this._dirty === true;\\n }\\n dirtyTimestamp() {\\n return this._dirty_timestamp;\\n }\\n dirtyCount() {\\n return this._dirty_count;\\n }\\n addPostDirtyHook(name, method) {\\n this._post_dirty_hook_names = this._post_dirty_hook_names || [];\\n this._post_dirty_hooks = this._post_dirty_hooks || [];\\n if (!this._post_dirty_hook_names.includes(name)) {\\n this._post_dirty_hook_names.push(name);\\n this._post_dirty_hooks.push(method);\\n } else {\\n console.warn(`hook with name ${name} already exists`, this.node);\\n }\\n }\\n removePostDirtyHook(name) {\\n if (this._post_dirty_hook_names && this._post_dirty_hooks) {\\n const index = this._post_dirty_hook_names.indexOf(name);\\n if (index >= 0) {\\n this._post_dirty_hook_names.splice(index, 1);\\n this._post_dirty_hooks.splice(index, 1);\\n }\\n }\\n }\\n hasHook(name) {\\n if (this._post_dirty_hook_names) {\\n return this._post_dirty_hook_names.includes(name);\\n }\\n return false;\\n }\\n removeDirtyState() {\\n this._dirty = false;\\n }\\n setForbiddenTriggerNodes(nodes) {\\n this._forbidden_trigger_nodes = nodes.map((n) => n.graphNodeId());\\n }\\n setDirty(original_trigger_graph_node, propagate) {\\n if (propagate == null) {\\n propagate = true;\\n }\\n if (original_trigger_graph_node && this._forbidden_trigger_nodes && this._forbidden_trigger_nodes.includes(original_trigger_graph_node.graphNodeId())) {\\n return;\\n }\\n if (original_trigger_graph_node == null) {\\n original_trigger_graph_node = this.node;\\n }\\n this._dirty = true;\\n const performance2 = Poly.performance.performanceManager();\\n this._dirty_timestamp = performance2.now();\\n this._dirty_count += 1;\\n this.runPostDirtyHooks(original_trigger_graph_node);\\n if (propagate === true) {\\n this.setSuccessorsDirty(original_trigger_graph_node);\\n }\\n }\\n runPostDirtyHooks(original_trigger_graph_node) {\\n if (this._post_dirty_hooks) {\\n const cooker = this.node.scene().cooker;\\n if (cooker.blocked) {\\n cooker.enqueue(this.node, original_trigger_graph_node);\\n } else {\\n for (let hook of this._post_dirty_hooks) {\\n hook(original_trigger_graph_node);\\n }\\n }\\n }\\n }\\n setSuccessorsDirty(original_trigger_graph_node) {\\n const propagate = false;\\n this._cached_successors = this._cached_successors || this.node.graphAllSuccessors();\\n for (let successor of this._cached_successors) {\\n successor.dirtyController.setDirty(original_trigger_graph_node, propagate);\\n }\\n }\\n clearSuccessorsCache() {\\n this._cached_successors = void 0;\\n }\\n clearSuccessorsCacheWithPredecessors() {\\n this.clearSuccessorsCache();\\n for (let predecessor of this.node.graphAllPredecessors()) {\\n predecessor.dirtyController.clearSuccessorsCache();\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/graph/CoreGraphNode.ts\\nvar CoreGraphNode = class {\\n constructor(_scene, _name) {\\n this._scene = _scene;\\n this._name = _name;\\n this._dirty_controller = new DirtyController(this);\\n this._graph_node_id = _scene.graph.nextId();\\n _scene.graph.addNode(this);\\n this._graph = _scene.graph;\\n }\\n dispose() {\\n this._dirty_controller.dispose();\\n this.graphRemove();\\n }\\n name() {\\n return this._name;\\n }\\n setName(name) {\\n this._name = name;\\n }\\n scene() {\\n return this._scene;\\n }\\n graphNodeId() {\\n return this._graph_node_id;\\n }\\n get dirtyController() {\\n return this._dirty_controller;\\n }\\n setDirty(trigger) {\\n trigger = trigger || this;\\n this._dirty_controller.setDirty(trigger);\\n }\\n setSuccessorsDirty(trigger) {\\n this._dirty_controller.setSuccessorsDirty(trigger);\\n }\\n removeDirtyState() {\\n this._dirty_controller.removeDirtyState();\\n }\\n isDirty() {\\n return this._dirty_controller.isDirty();\\n }\\n addPostDirtyHook(name, callback) {\\n this._dirty_controller.addPostDirtyHook(name, callback);\\n }\\n graphRemove() {\\n this._graph.removeNode(this);\\n }\\n addGraphInput(src, check_if_graph_has_cycle = true) {\\n return this._graph.connect(src, this, check_if_graph_has_cycle);\\n }\\n removeGraphInput(src) {\\n this._graph.disconnect(src, this);\\n }\\n graphDisconnectPredecessors() {\\n this._graph.disconnectPredecessors(this);\\n }\\n graphDisconnectSuccessors() {\\n this._graph.disconnectSuccessors(this);\\n }\\n graphPredecessorIds() {\\n return this._graph.predecessorIds(this._graph_node_id) || [];\\n }\\n graphPredecessors() {\\n return this._graph.predecessors(this);\\n }\\n graphSuccessors() {\\n return this._graph.successors(this);\\n }\\n graphAllPredecessors() {\\n return this._graph.allPredecessors(this);\\n }\\n graphAllSuccessors() {\\n return this._graph.allSuccessors(this);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/NodeEvent.ts\\nvar NodeEvent;\\n(function(NodeEvent2) {\\n NodeEvent2[\\\\\\\"CREATED\\\\\\\"] = \\\\\\\"node_created\\\\\\\";\\n NodeEvent2[\\\\\\\"DELETED\\\\\\\"] = \\\\\\\"node_deleted\\\\\\\";\\n NodeEvent2[\\\\\\\"NAME_UPDATED\\\\\\\"] = \\\\\\\"node_name_update\\\\\\\";\\n NodeEvent2[\\\\\\\"OVERRIDE_CLONABLE_STATE_UPDATE\\\\\\\"] = \\\\\\\"node_override_clonable_state_update\\\\\\\";\\n NodeEvent2[\\\\\\\"NAMED_OUTPUTS_UPDATED\\\\\\\"] = \\\\\\\"node_named_outputs_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"NAMED_INPUTS_UPDATED\\\\\\\"] = \\\\\\\"node_named_inputs_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"INPUTS_UPDATED\\\\\\\"] = \\\\\\\"node_inputs_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"PARAMS_UPDATED\\\\\\\"] = \\\\\\\"node_params_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"UI_DATA_POSITION_UPDATED\\\\\\\"] = \\\\\\\"node_ui_data_position_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"UI_DATA_COMMENT_UPDATED\\\\\\\"] = \\\\\\\"node_ui_data_comment_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"ERROR_UPDATED\\\\\\\"] = \\\\\\\"node_error_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"FLAG_BYPASS_UPDATED\\\\\\\"] = \\\\\\\"bypass_flag_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"FLAG_DISPLAY_UPDATED\\\\\\\"] = \\\\\\\"display_flag_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"FLAG_OPTIMIZE_UPDATED\\\\\\\"] = \\\\\\\"optimize_flag_updated\\\\\\\";\\n NodeEvent2[\\\\\\\"SELECTION_UPDATED\\\\\\\"] = \\\\\\\"selection_updated\\\\\\\";\\n})(NodeEvent || (NodeEvent = {}));\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/Type.ts\\nvar CoreType = class {\\n static isNumber(value) {\\n return typeof value == \\\\\\\"number\\\\\\\";\\n }\\n static isVector(value) {\\n return value instanceof Vector2 || value instanceof Vector3 || value instanceof Vector4;\\n }\\n static isString(value) {\\n return typeof value == \\\\\\\"string\\\\\\\";\\n }\\n static isBoolean(value) {\\n return value === true || value === false;\\n }\\n static isNaN(value) {\\n return isNaN(value);\\n }\\n static isArray(value) {\\n return Array.isArray(value);\\n }\\n static isObject(value) {\\n var type = typeof value;\\n return value != null && (type == \\\\\\\"object\\\\\\\" || type == \\\\\\\"function\\\\\\\");\\n }\\n};\\nfunction isBooleanTrue(value) {\\n return value;\\n}\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/UIData.ts\\nvar UIData = class {\\n constructor(node, x = 0, y = 0) {\\n this.node = node;\\n this._position = new Vector2();\\n this._width = 50;\\n this._color = new Color(0.75, 0.75, 0.75);\\n this._layout_vertical = true;\\n this._json = {\\n x: 0,\\n y: 0\\n };\\n this._position.x = x;\\n this._position.y = y;\\n }\\n setComment(comment) {\\n this._comment = comment;\\n this.node.emit(NodeEvent.UI_DATA_COMMENT_UPDATED);\\n }\\n comment() {\\n return this._comment;\\n }\\n setColor(color) {\\n this._color = color;\\n }\\n color() {\\n return this._color;\\n }\\n setLayoutHorizontal() {\\n this._layout_vertical = false;\\n }\\n isLayoutVertical() {\\n return this._layout_vertical;\\n }\\n copy(ui_data) {\\n this._position.copy(ui_data.position());\\n this._color.copy(ui_data.color());\\n }\\n position() {\\n return this._position;\\n }\\n setPosition(new_position, y = 0) {\\n if (CoreType.isNumber(new_position)) {\\n const x = new_position;\\n this._position.set(x, y);\\n } else {\\n this._position.copy(new_position);\\n }\\n this.node.emit(NodeEvent.UI_DATA_POSITION_UPDATED);\\n }\\n translate(offset, snap = false) {\\n this._position.add(offset);\\n if (snap) {\\n this._position.x = Math.round(this._position.x);\\n this._position.y = Math.round(this._position.y);\\n }\\n this.node.emit(NodeEvent.UI_DATA_POSITION_UPDATED);\\n }\\n toJSON() {\\n this._json.x = this._position.x;\\n this._json.y = this._position.y;\\n this._json.comment = this._comment;\\n return this._json;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/flags/Base.ts\\nvar BaseFlag = class {\\n constructor(node) {\\n this.node = node;\\n this._state = true;\\n this._hooks = null;\\n }\\n onUpdate(hook) {\\n this._hooks = this._hooks || [];\\n this._hooks.push(hook);\\n }\\n _on_update() {\\n }\\n set(new_state) {\\n if (this._state != new_state) {\\n this._state = new_state;\\n this._on_update();\\n this.runHooks();\\n }\\n }\\n active() {\\n return this._state;\\n }\\n toggle() {\\n this.set(!this._state);\\n }\\n runHooks() {\\n if (this._hooks) {\\n for (let hook of this._hooks) {\\n hook();\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/flags/Bypass.ts\\nvar BypassFlag = class extends BaseFlag {\\n constructor() {\\n super(...arguments);\\n this._state = false;\\n }\\n _on_update() {\\n this.node.emit(NodeEvent.FLAG_BYPASS_UPDATED);\\n this.node.setDirty();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/flags/Display.ts\\nvar DisplayFlag = class extends BaseFlag {\\n _on_update() {\\n this.node.emit(NodeEvent.FLAG_DISPLAY_UPDATED);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/flags/Optimize.ts\\nvar OptimizeFlag = class extends BaseFlag {\\n constructor() {\\n super(...arguments);\\n this._state = false;\\n }\\n _on_update() {\\n this.node.emit(NodeEvent.FLAG_OPTIMIZE_UPDATED);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/FlagsController.ts\\nvar FlagsController = class {\\n constructor(node) {\\n this.node = node;\\n }\\n hasDisplay() {\\n return false;\\n }\\n hasBypass() {\\n return false;\\n }\\n hasOptimize() {\\n return false;\\n }\\n};\\nfunction Display(Base) {\\n return class Mixin extends Base {\\n constructor() {\\n super(...arguments);\\n this.display = new DisplayFlag(this.node);\\n }\\n hasDisplay() {\\n return true;\\n }\\n };\\n}\\nfunction Bypass(Base) {\\n return class Mixin extends Base {\\n constructor() {\\n super(...arguments);\\n this.bypass = new BypassFlag(this.node);\\n }\\n hasBypass() {\\n return true;\\n }\\n };\\n}\\nfunction Optimize(Base) {\\n return class Mixin extends Base {\\n constructor() {\\n super(...arguments);\\n this.optimize = new OptimizeFlag(this.node);\\n }\\n hasOptimize() {\\n return true;\\n }\\n };\\n}\\nvar FlagsControllerD = class extends Display(FlagsController) {\\n};\\nvar FlagsControllerB = class extends Bypass(FlagsController) {\\n};\\nvar FlagsControllerDB = class extends Bypass(Display(FlagsController)) {\\n};\\nvar FlagsControllerBO = class extends Optimize(Bypass(FlagsController)) {\\n};\\nvar FlagsControllerDBO = class extends Optimize(Bypass(Display(FlagsController))) {\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/states/Base.ts\\nvar BaseState = class {\\n constructor(node) {\\n this.node = node;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/states/TimeDependent.ts\\nvar TimeDependentState = class extends BaseState {\\n active() {\\n return this.paramsTimeDependent() || this.inputsTimeDependent();\\n }\\n paramsTimeDependent() {\\n const param_names = this.node.params.names;\\n for (let param_name of param_names) {\\n const param = this.node.params.get(param_name);\\n if (param && param.states.timeDependent.active()) {\\n return true;\\n }\\n }\\n return false;\\n }\\n inputsTimeDependent() {\\n const inputs = this.node.io.inputs.inputs();\\n for (let input of inputs) {\\n if (input && input.states.timeDependent.active()) {\\n return true;\\n }\\n }\\n return false;\\n }\\n forceTimeDependent() {\\n const predecessor_ids = this.node.graphPredecessors().map((n) => n.graphNodeId());\\n const frame_node = this.node.scene().timeController.graphNode;\\n if (!predecessor_ids.includes(frame_node.graphNodeId())) {\\n this.node.addGraphInput(frame_node, false);\\n }\\n }\\n unforceTimeDependent() {\\n const frame_node = this.node.scene().timeController.graphNode;\\n this.node.removeGraphInput(frame_node);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/states/Error.ts\\nvar NodeErrorState = class extends BaseState {\\n set(message) {\\n if (this._message != message) {\\n if (message) {\\n Poly.error(`[${this.node.path()}] error: '${message}'`);\\n }\\n this._message = message;\\n this.onUpdate();\\n }\\n }\\n message() {\\n return this._message;\\n }\\n clear() {\\n this.set(void 0);\\n }\\n active() {\\n return this._message != null;\\n }\\n onUpdate() {\\n if (this._message != null) {\\n this.node._setContainer(null, `from error '${this._message}'`);\\n }\\n this.node.emit(NodeEvent.ERROR_UPDATED);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/StatesController.ts\\nvar StatesController = class {\\n constructor(node) {\\n this.node = node;\\n this.timeDependent = new TimeDependentState(this.node);\\n this.error = new NodeErrorState(this.node);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/NameController.ts\\nvar NameController = class {\\n constructor(node) {\\n this.node = node;\\n this._graph_node = new CoreGraphNode(node.scene(), \\\\\\\"node_name_controller\\\\\\\");\\n }\\n dispose() {\\n this._graph_node.dispose();\\n this._on_set_name_hooks = void 0;\\n this._on_set_fullPath_hooks = void 0;\\n }\\n get graph_node() {\\n return this._graph_node;\\n }\\n static base_name(node) {\\n let base = node.type();\\n const last_char = base[base.length - 1];\\n if (!CoreType.isNaN(parseInt(last_char))) {\\n base += \\\\\\\"_\\\\\\\";\\n }\\n return `${base}1`;\\n }\\n requestNameToParent(new_name) {\\n const parent = this.node.parent();\\n if (parent && parent.childrenAllowed() && parent.childrenController) {\\n parent.childrenController.setChildName(this.node, new_name);\\n } else {\\n console.warn(\\\\\\\"requestNameToParent failed, no parent found\\\\\\\");\\n }\\n }\\n setName(new_name) {\\n if (new_name != this.node.name()) {\\n this.requestNameToParent(new_name);\\n }\\n }\\n updateNameFromParent(new_name) {\\n this.node._set_core_name(new_name);\\n this._postSetName();\\n this.runPostSetFullPathHooks();\\n if (this.node.childrenAllowed()) {\\n const children = this.node.childrenController?.children();\\n if (children) {\\n for (let child_node of children) {\\n child_node.nameController.runPostSetFullPathHooks();\\n }\\n }\\n }\\n if (this.node.lifecycle.creationCompleted()) {\\n this.node.scene().missingExpressionReferencesController.checkForMissingReferences(this.node);\\n this.node.scene().expressionsController.regenerateReferringExpressions(this.node);\\n }\\n this.node.scene().referencesController.notifyNameUpdated(this.node);\\n this.node.emit(NodeEvent.NAME_UPDATED);\\n }\\n add_post_set_name_hook(hook) {\\n this._on_set_name_hooks = this._on_set_name_hooks || [];\\n this._on_set_name_hooks.push(hook);\\n }\\n add_post_set_fullPath_hook(hook) {\\n this._on_set_fullPath_hooks = this._on_set_fullPath_hooks || [];\\n this._on_set_fullPath_hooks.push(hook);\\n }\\n _postSetName() {\\n if (this._on_set_name_hooks) {\\n for (let hook of this._on_set_name_hooks) {\\n hook();\\n }\\n }\\n }\\n runPostSetFullPathHooks() {\\n if (this._on_set_fullPath_hooks) {\\n for (let hook of this._on_set_fullPath_hooks) {\\n hook();\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/Walker.ts\\nvar TypedNodePathParamValue = class {\\n constructor(_path = \\\\\\\"\\\\\\\") {\\n this._path = _path;\\n this._node = null;\\n }\\n set_path(path) {\\n this._path = path;\\n }\\n set_node(node) {\\n this._node = node;\\n }\\n path() {\\n return this._path;\\n }\\n node() {\\n return this._node;\\n }\\n resolve(node_start) {\\n this._node = CoreWalker.findNode(node_start, this._path);\\n }\\n clone() {\\n const cloned = new TypedNodePathParamValue(this._path);\\n cloned.set_node(this._node);\\n return cloned;\\n }\\n nodeWithContext(context, error_state) {\\n const found_node = this.node();\\n if (!found_node) {\\n error_state?.set(`no node found at ${this.path()}`);\\n return;\\n }\\n const node_context = found_node.context();\\n if (node_context == context) {\\n return found_node;\\n } else {\\n error_state?.set(`expected ${context} node, but got a ${node_context}`);\\n return;\\n }\\n }\\n};\\nvar TypedParamPathParamValue = class {\\n constructor(_path = \\\\\\\"\\\\\\\") {\\n this._path = _path;\\n this._param = null;\\n }\\n set_path(path) {\\n this._path = path;\\n }\\n set_param(param) {\\n this._param = param;\\n }\\n path() {\\n return this._path;\\n }\\n param() {\\n return this._param;\\n }\\n resolve(node_start) {\\n this._param = CoreWalker.findParam(node_start, this._path);\\n }\\n clone() {\\n const cloned = new TypedParamPathParamValue(this._path);\\n cloned.set_param(this._param);\\n return cloned;\\n }\\n paramWithType(paramType, error_state) {\\n const foundParam = this.param();\\n if (!foundParam) {\\n error_state?.set(`no param found at ${this.path()}`);\\n return;\\n }\\n if (foundParam.type() == paramType) {\\n return foundParam;\\n } else {\\n error_state?.set(`expected ${paramType} node, but got a ${foundParam.type()}`);\\n return;\\n }\\n }\\n};\\nvar CoreWalker2 = class {\\n static split_parent_child(path) {\\n const elements = path.split(CoreWalker2.SEPARATOR).filter((e) => e.length > 0);\\n const child_path = elements.pop();\\n const parent_path = elements.join(CoreWalker2.SEPARATOR);\\n return {parent: parent_path, child: child_path};\\n }\\n static findNode(node_src, path, decomposed_path) {\\n if (!node_src) {\\n return null;\\n }\\n const elements = path.split(CoreWalker2.SEPARATOR).filter((e) => e.length > 0);\\n const first_element = elements[0];\\n let next_node = null;\\n if (path[0] === CoreWalker2.SEPARATOR) {\\n const path_from_root = path.substr(1);\\n next_node = this.findNode(node_src.root(), path_from_root, decomposed_path);\\n } else {\\n switch (first_element) {\\n case CoreWalker2.PARENT:\\n decomposed_path?.add_path_element(first_element);\\n next_node = node_src.parent();\\n break;\\n case CoreWalker2.CURRENT:\\n decomposed_path?.add_path_element(first_element);\\n next_node = node_src;\\n break;\\n default:\\n next_node = node_src.node(first_element);\\n if (next_node) {\\n decomposed_path?.add_node(first_element, next_node);\\n }\\n }\\n if (next_node != null && elements.length > 1) {\\n const remainder = elements.slice(1).join(CoreWalker2.SEPARATOR);\\n next_node = this.findNode(next_node, remainder, decomposed_path);\\n }\\n return next_node;\\n }\\n return next_node;\\n }\\n static findParam(node_src, path, decomposed_path) {\\n if (!node_src) {\\n return null;\\n }\\n const elements = path.split(CoreWalker2.SEPARATOR);\\n if (elements.length === 1) {\\n return node_src.params.get(elements[0]);\\n } else {\\n const node_path = elements.slice(0, +(elements.length - 2) + 1 || void 0).join(CoreWalker2.SEPARATOR);\\n const node = this.findNode(node_src, node_path, decomposed_path);\\n if (node != null) {\\n const param_name = elements[elements.length - 1];\\n const param = node.params.get(param_name);\\n if (decomposed_path && param) {\\n decomposed_path.add_node(param_name, param);\\n }\\n return param;\\n } else {\\n return null;\\n }\\n }\\n }\\n static relativePath(src_graph_node, dest_graph_node) {\\n const parent = this.closestCommonParent(src_graph_node, dest_graph_node);\\n if (!parent) {\\n return dest_graph_node.path();\\n } else {\\n const distance = this.distanceToParent(src_graph_node, parent);\\n let up = \\\\\\\"\\\\\\\";\\n if (distance > 0) {\\n let i = 0;\\n const ups = [];\\n while (i++ < distance) {\\n ups.push(CoreWalker2.PARENT);\\n }\\n up = ups.join(CoreWalker2.SEPARATOR) + CoreWalker2.SEPARATOR;\\n }\\n const parent_path_elements = parent.path().split(CoreWalker2.SEPARATOR).filter((e) => e.length > 0);\\n const dest_path_elements = dest_graph_node.path().split(CoreWalker2.SEPARATOR).filter((e) => e.length > 0);\\n const remaining_elements = [];\\n let cmptr = 0;\\n for (let dest_path_element of dest_path_elements) {\\n if (!parent_path_elements[cmptr]) {\\n remaining_elements.push(dest_path_element);\\n }\\n cmptr++;\\n }\\n const down = remaining_elements.join(CoreWalker2.SEPARATOR);\\n return `${up}${down}`;\\n }\\n }\\n static closestCommonParent(graph_node1, graph_node2) {\\n const parents1 = this.parents(graph_node1).reverse().concat([graph_node1]);\\n const parents2 = this.parents(graph_node2).reverse().concat([graph_node2]);\\n const min_depth = Math.min(parents1.length, parents2.length);\\n let found_parent = null;\\n for (let i = 0; i < min_depth; i++) {\\n if (parents1[i].graphNodeId() == parents2[i].graphNodeId()) {\\n found_parent = parents1[i];\\n }\\n }\\n return found_parent;\\n }\\n static parents(graph_node) {\\n const parents = [];\\n let parent = graph_node.parent();\\n while (parent) {\\n parents.push(parent);\\n parent = parent.parent();\\n }\\n return parents;\\n }\\n static distanceToParent(graph_node, dest) {\\n let distance = 0;\\n let current = graph_node;\\n const dest_id = dest.graphNodeId();\\n while (current && current.graphNodeId() != dest_id) {\\n distance += 1;\\n current = current.parent();\\n }\\n if (current && current.graphNodeId() == dest_id) {\\n return distance;\\n } else {\\n return -1;\\n }\\n }\\n static makeAbsolutePath(nodeSrc, path) {\\n if (path[0] == CoreWalker2.SEPARATOR) {\\n return path;\\n }\\n const pathElements = path.split(CoreWalker2.SEPARATOR);\\n const firstElement = pathElements.shift();\\n if (firstElement) {\\n switch (firstElement) {\\n case \\\\\\\"..\\\\\\\": {\\n const parent = nodeSrc.parent();\\n if (parent) {\\n if (parent == nodeSrc.scene().root()) {\\n return CoreWalker2.SEPARATOR + pathElements.join(CoreWalker2.SEPARATOR);\\n } else {\\n return this.makeAbsolutePath(parent, pathElements.join(CoreWalker2.SEPARATOR));\\n }\\n } else {\\n return null;\\n }\\n }\\n case \\\\\\\".\\\\\\\": {\\n return this.makeAbsolutePath(nodeSrc, pathElements.join(CoreWalker2.SEPARATOR));\\n }\\n default: {\\n return [nodeSrc.path(), path].join(CoreWalker2.SEPARATOR);\\n }\\n }\\n } else {\\n return nodeSrc.path();\\n }\\n }\\n};\\nvar CoreWalker = CoreWalker2;\\nCoreWalker.SEPARATOR = \\\\\\\"/\\\\\\\";\\nCoreWalker.DOT = \\\\\\\".\\\\\\\";\\nCoreWalker.CURRENT = CoreWalker2.DOT;\\nCoreWalker.PARENT = \\\\\\\"..\\\\\\\";\\nCoreWalker.CURRENT_WITH_SLASH = `${CoreWalker2.CURRENT}/`;\\nCoreWalker.PARENT_WITH_SLASH = `${CoreWalker2.PARENT}/`;\\nCoreWalker.NON_LETTER_PREFIXES = [CoreWalker2.SEPARATOR, CoreWalker2.DOT];\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/hierarchy/ParentController.ts\\nvar HierarchyParentController = class {\\n constructor(node) {\\n this.node = node;\\n this._parent = null;\\n }\\n parent() {\\n return this._parent;\\n }\\n setParent(parent) {\\n if (parent != this.node.parentController.parent()) {\\n this._parent = parent;\\n if (this._parent) {\\n this.node.nameController.requestNameToParent(NameController.base_name(this.node));\\n }\\n }\\n }\\n firstAncestorWithContext(context) {\\n if (this._parent) {\\n if (this._parent.context() == context) {\\n return this._parent;\\n } else {\\n return this._parent.parentController.firstAncestorWithContext(context);\\n }\\n }\\n return null;\\n }\\n path(relative_to_parent) {\\n const separator = CoreWalker.SEPARATOR;\\n if (this._parent != null) {\\n if (this._parent == relative_to_parent) {\\n return this.node.name();\\n } else {\\n const parent_fullPath = this._parent.path(relative_to_parent);\\n if (parent_fullPath === separator) {\\n return parent_fullPath + this.node.name();\\n } else {\\n return parent_fullPath + separator + this.node.name();\\n }\\n }\\n } else {\\n return separator;\\n }\\n }\\n onSetParent() {\\n if (this._on_set_parent_hooks) {\\n for (let hook of this._on_set_parent_hooks) {\\n hook();\\n }\\n }\\n }\\n findNode(path) {\\n if (path == null) {\\n return null;\\n }\\n if (path == CoreWalker.CURRENT || path == CoreWalker.CURRENT_WITH_SLASH) {\\n return this.node;\\n }\\n if (path == CoreWalker.PARENT || path == CoreWalker.PARENT_WITH_SLASH) {\\n return this.node.parent();\\n }\\n const separator = CoreWalker.SEPARATOR;\\n if (path === separator) {\\n return this.node.scene().root();\\n }\\n if (path[0] === separator) {\\n path = path.substring(1, path.length);\\n return this.node.scene().root().node(path);\\n }\\n if (path.split) {\\n const elements = path.split(separator);\\n if (elements.length === 1) {\\n const name = elements[0];\\n if (this.node.childrenController) {\\n return this.node.childrenController.childByName(name);\\n } else {\\n return null;\\n }\\n } else {\\n return CoreWalker.findNode(this.node, path);\\n }\\n } else {\\n console.error(\\\\\\\"unexpected path given:\\\\\\\", path);\\n return null;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/MapUtils.ts\\nvar MapUtils = class {\\n static arrayFromValues(map) {\\n const array = [];\\n map.forEach((v) => {\\n array.push(v);\\n });\\n return array;\\n }\\n static pushOnArrayAtEntry(map, key, newElement) {\\n let has_entry = map.has(key);\\n if (has_entry) {\\n map.get(key).push(newElement);\\n } else {\\n map.set(key, [newElement]);\\n }\\n }\\n static addToSetAtEntry(map, key, newElement) {\\n let has_entry = map.has(key);\\n if (has_entry) {\\n map.get(key).add(newElement);\\n } else {\\n const set = new Set();\\n set.add(newElement);\\n map.set(key, set);\\n }\\n }\\n static popFromArrayAtEntry(map, key, elementToRemove) {\\n let has_entry = map.has(key);\\n if (has_entry) {\\n const array = map.get(key);\\n const index = array.indexOf(elementToRemove);\\n if (index >= 0) {\\n array.splice(index, 1);\\n }\\n }\\n }\\n static removeFromSetAtEntry(map, key, elementToRemove) {\\n let has_entry = map.has(key);\\n if (has_entry) {\\n const set = map.get(key);\\n set.delete(elementToRemove);\\n if (set.size == 0) {\\n map.delete(key);\\n }\\n }\\n }\\n static unshiftOnArrayAtEntry(map, key, newElement) {\\n let has_entry = map.has(key);\\n if (has_entry) {\\n map.get(key).unshift(newElement);\\n } else {\\n map.set(key, [newElement]);\\n }\\n }\\n static concatOnArrayAtEntry(map, key, newElements) {\\n let has_entry = map.has(key);\\n if (has_entry) {\\n let array = map.get(key);\\n for (let element of newElements) {\\n array.push(element);\\n }\\n } else {\\n map.set(key, newElements);\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/SetUtils.ts\\nvar SetUtils = class {\\n static toArray(set) {\\n const array = [];\\n set.forEach((elem) => {\\n array.push(elem);\\n });\\n return array;\\n }\\n static union(set0, set1) {\\n const newSet = new Set();\\n set0.forEach((val) => newSet.add(val));\\n set1.forEach((val) => newSet.add(val));\\n return newSet;\\n }\\n static intersection(set0, set1) {\\n const newSet = new Set();\\n set0.forEach((val) => {\\n if (set1.has(val)) {\\n newSet.add(val);\\n }\\n });\\n set1.forEach((val) => {\\n if (set0.has(val)) {\\n newSet.add(val);\\n }\\n });\\n return newSet;\\n }\\n static difference(set0, set1) {\\n const newSet = new Set();\\n set0.forEach((val) => {\\n if (!set1.has(val)) {\\n newSet.add(val);\\n }\\n });\\n set1.forEach((val) => {\\n if (!set0.has(val)) {\\n newSet.add(val);\\n }\\n });\\n return newSet;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/ArrayUtils.ts\\nvar ArrayUtils = class {\\n static shallowClone(array) {\\n return [...array];\\n }\\n static min(array) {\\n let min = array[0];\\n for (let element of array) {\\n if (element < min) {\\n min = element;\\n }\\n }\\n return min;\\n }\\n static max(array) {\\n let min = array[0];\\n for (let element of array) {\\n if (element > min) {\\n min = element;\\n }\\n }\\n return min;\\n }\\n static sum(array) {\\n let sum = 0;\\n for (let element of array) {\\n sum += element;\\n }\\n return sum;\\n }\\n static compact(array) {\\n const newArray = [];\\n for (let elem of array) {\\n if (elem != null) {\\n newArray.push(elem);\\n }\\n }\\n return newArray;\\n }\\n static uniq(array) {\\n const tmpSet = new Set();\\n for (let elem of array) {\\n tmpSet.add(elem);\\n }\\n const newArray = new Array(tmpSet.size);\\n let i = 0;\\n tmpSet.forEach((elem) => {\\n newArray[i] = elem;\\n i++;\\n });\\n return newArray;\\n }\\n static chunk(array, chunkSize) {\\n const newArray = [];\\n let newSubArray = [];\\n newArray.push(newSubArray);\\n for (let i = 0; i < array.length; i++) {\\n if (newSubArray.length == chunkSize) {\\n newSubArray = [];\\n newArray.push(newSubArray);\\n }\\n newSubArray.push(array[i]);\\n }\\n return newArray;\\n }\\n static union(array0, array1) {\\n const newArray = [];\\n const unionSet = SetUtils.union(this.toSet(array0), this.toSet(array1));\\n unionSet.forEach((val) => newArray.push(val));\\n return newArray;\\n }\\n static intersection(array0, array1) {\\n const newArray = [];\\n const intersectionSet = SetUtils.intersection(this.toSet(array0), this.toSet(array1));\\n intersectionSet.forEach((val) => newArray.push(val));\\n return newArray;\\n }\\n static difference(array0, array1) {\\n const newArray = [];\\n const differenceSet = SetUtils.difference(this.toSet(array0), this.toSet(array1));\\n differenceSet.forEach((val) => newArray.push(val));\\n return newArray;\\n }\\n static toSet(array) {\\n const set = new Set();\\n for (let elem of array) {\\n set.add(elem);\\n }\\n return set;\\n }\\n static isEqual(array0, array1) {\\n if (array0.length != array1.length) {\\n return false;\\n }\\n const count = array0.length;\\n for (let i = 0; i < count; i++) {\\n if (array0[i] != array1[i]) {\\n return false;\\n }\\n }\\n return true;\\n }\\n static sortBy(array, callback) {\\n if (array.length == 0) {\\n return [];\\n }\\n const elementsByValue = new Map();\\n const valuesSet = new Set();\\n for (let elem of array) {\\n const value = callback(elem);\\n valuesSet.add(value);\\n MapUtils.pushOnArrayAtEntry(elementsByValue, value, elem);\\n }\\n const values = new Array(valuesSet.size);\\n let i = 0;\\n valuesSet.forEach((value) => {\\n values[i] = value;\\n i++;\\n });\\n if (CoreType.isString(values[0])) {\\n values.sort();\\n } else {\\n values.sort((a, b) => a - b);\\n }\\n const sorted_elements = new Array(array.length);\\n i = 0;\\n for (let value of values) {\\n const elements_for_value = elementsByValue.get(value);\\n if (elements_for_value) {\\n for (let element of elements_for_value) {\\n sorted_elements[i] = element;\\n i++;\\n }\\n }\\n }\\n return sorted_elements;\\n }\\n static range(start, end, step = 1) {\\n if (end == null) {\\n end = start;\\n start = 0;\\n }\\n const length = Math.floor((end - start) / step);\\n const array = new Array(length);\\n for (let i = 0; i < array.length; i++) {\\n array[i] = start + i * step;\\n }\\n return array;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/String.ts\\nvar ATTRIB_NAMES_SEPARATOR = /[, ]/;\\nvar TAIL_DIGIT_MATCH_REGEXP = /\\\\d+$/;\\nvar LEADING_ZEROS_MATCH_REGEXP = /^0+/;\\nvar INDICES_LIST_SEPARATOR = /,| /;\\nvar ZERO = \\\\\\\"0\\\\\\\";\\nvar SPACE = \\\\\\\" \\\\\\\";\\nvar NUM_REGEXP = /^-?\\\\d+\\\\.?\\\\d*$/;\\nvar BooleanString;\\n(function(BooleanString2) {\\n BooleanString2[\\\\\\\"TRUE\\\\\\\"] = \\\\\\\"true\\\\\\\";\\n BooleanString2[\\\\\\\"FALSE\\\\\\\"] = \\\\\\\"false\\\\\\\";\\n})(BooleanString || (BooleanString = {}));\\nvar CoreString = class {\\n static isBoolean(word) {\\n return word == BooleanString.TRUE || word == BooleanString.FALSE;\\n }\\n static toBoolean(word) {\\n return word == BooleanString.TRUE;\\n }\\n static isNumber(word) {\\n return NUM_REGEXP.test(word);\\n }\\n static tailDigits(word) {\\n const match = word.match(TAIL_DIGIT_MATCH_REGEXP);\\n if (match) {\\n return parseInt(match[0]);\\n } else {\\n return 0;\\n }\\n }\\n static increment(word) {\\n const match = word.match(TAIL_DIGIT_MATCH_REGEXP);\\n if (match) {\\n let numbers_as_str = match[0];\\n let zeros_prefix = \\\\\\\"\\\\\\\";\\n const leading_zeros_match = numbers_as_str.match(LEADING_ZEROS_MATCH_REGEXP);\\n if (leading_zeros_match) {\\n zeros_prefix = leading_zeros_match[0];\\n }\\n const digits = parseInt(numbers_as_str);\\n if (digits == 0) {\\n if (zeros_prefix.length > 0) {\\n if (zeros_prefix[zeros_prefix.length - 1] == ZERO) {\\n zeros_prefix = zeros_prefix.slice(0, -1);\\n }\\n }\\n }\\n const prefix = word.substring(0, word.length - match[0].length);\\n return `${prefix}${zeros_prefix}${digits + 1}`;\\n } else {\\n return `${word}1`;\\n }\\n }\\n static pluralize(word) {\\n const last_char = word[word.length - 1];\\n if (last_char !== \\\\\\\"s\\\\\\\") {\\n return `${word}s`;\\n } else {\\n return word;\\n }\\n }\\n static camelCase(str) {\\n const elements = str.replace(/_/g, \\\\\\\" \\\\\\\").split(\\\\\\\" \\\\\\\");\\n let newWord = \\\\\\\"\\\\\\\";\\n for (let i = 0; i < elements.length; i++) {\\n let element = elements[i].toLowerCase();\\n if (i > 0) {\\n element = this.upperFirst(element);\\n }\\n newWord += element;\\n }\\n return newWord;\\n }\\n static upperFirst(word) {\\n const newString = word[0].toUpperCase() + word.substr(1);\\n return newString;\\n }\\n static titleize(word) {\\n const elements = word.split(/\\\\s|_/g);\\n const newElements = elements.map((elem) => this.upperFirst(elem));\\n return newElements.join(\\\\\\\" \\\\\\\");\\n }\\n static precision(val, decimals = 2) {\\n decimals = Math.max(decimals, 0);\\n const elements = `${val}`.split(\\\\\\\".\\\\\\\");\\n if (decimals <= 0) {\\n return elements[0];\\n }\\n let frac = elements[1];\\n if (frac !== void 0) {\\n if (frac.length > decimals) {\\n frac = frac.substring(0, decimals);\\n }\\n frac = frac.padEnd(decimals, \\\\\\\"0\\\\\\\");\\n return `${elements[0]}.${frac}`;\\n } else {\\n const string_to_pad = `${val}.`;\\n const pad = string_to_pad.length + decimals;\\n return string_to_pad.padEnd(pad, \\\\\\\"0\\\\\\\");\\n }\\n }\\n static ensureFloat(num) {\\n const num_as_string = `${num}`;\\n const dot_pos = num_as_string.indexOf(\\\\\\\".\\\\\\\");\\n if (dot_pos >= 0) {\\n return num_as_string;\\n } else {\\n return `${num_as_string}.0`;\\n }\\n }\\n static ensureInteger(num) {\\n const num_as_string = `${num}`;\\n const dot_pos = num_as_string.indexOf(\\\\\\\".\\\\\\\");\\n if (dot_pos >= 0) {\\n return num_as_string.split(\\\\\\\".\\\\\\\")[0];\\n } else {\\n return num_as_string;\\n }\\n }\\n static matchMask(word, mask) {\\n if (mask === \\\\\\\"*\\\\\\\") {\\n return true;\\n }\\n if (word == mask) {\\n return true;\\n }\\n const elements = mask.split(SPACE);\\n if (elements.length > 1) {\\n for (let element of elements) {\\n const match = this.matchMask(word, element);\\n if (match) {\\n return true;\\n }\\n }\\n return false;\\n }\\n mask = mask.split(\\\\\\\"*\\\\\\\").join(\\\\\\\".*\\\\\\\");\\n mask = `^${mask}$`;\\n const regex = new RegExp(mask);\\n return regex.test(word);\\n }\\n static matchesOneMask(word, masks) {\\n let matches_one_mask = false;\\n for (let mask of masks) {\\n if (CoreString.matchMask(word, mask)) {\\n matches_one_mask = true;\\n }\\n }\\n return matches_one_mask;\\n }\\n static attribNames(word) {\\n const elements = word.split(ATTRIB_NAMES_SEPARATOR);\\n const names_set = new Set();\\n for (let element of elements) {\\n element = element.trim();\\n if (element.length > 0) {\\n names_set.add(element);\\n }\\n }\\n const names = new Array(names_set.size);\\n let i = 0;\\n names_set.forEach((name) => {\\n names[i] = name;\\n i++;\\n });\\n return names;\\n }\\n static indices(indices_string) {\\n const elements = indices_string.split(INDICES_LIST_SEPARATOR);\\n if (elements.length > 1) {\\n const indices = elements.flatMap((element) => this.indices(element));\\n return ArrayUtils.uniq(indices).sort((a, b) => a - b);\\n } else {\\n const element = elements[0];\\n if (element) {\\n const range_separator = \\\\\\\"-\\\\\\\";\\n if (element.indexOf(range_separator) > 0) {\\n const range_elements = element.split(range_separator);\\n return ArrayUtils.range(parseInt(range_elements[0]), parseInt(range_elements[1]) + 1);\\n } else {\\n const parsed = parseInt(element);\\n if (CoreType.isNumber(parsed)) {\\n return [parsed];\\n } else {\\n return [];\\n }\\n }\\n } else {\\n return [];\\n }\\n }\\n }\\n static escapeLineBreaks(word) {\\n return word.replace(/(\\\\r\\\\n|\\\\n|\\\\r)/gm, \\\\\\\"\\\\\\\\n\\\\\\\");\\n }\\n static sanitizeName(name) {\\n name = name.replace(/[^A-Za-z0-9]/g, \\\\\\\"_\\\\\\\");\\n name = name.replace(/^[0-9]/, \\\\\\\"_\\\\\\\");\\n return name;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/NodeSelection.ts\\nvar CoreNodeSelection = class {\\n constructor(_node) {\\n this._node = _node;\\n this._node_ids = [];\\n this._json = [];\\n }\\n node() {\\n return this._node;\\n }\\n nodes() {\\n return this._node.scene().graph.nodesFromIds(this._node_ids);\\n }\\n contains(node) {\\n return this._node_ids.includes(node.graphNodeId());\\n }\\n equals(nodes) {\\n const node_ids = nodes.map((node) => node.graphNodeId()).sort();\\n return ArrayUtils.isEqual(node_ids, this._node_ids);\\n }\\n clear() {\\n this._node_ids = [];\\n this.send_update_event();\\n }\\n set(nodes) {\\n this._node_ids = [];\\n this.add(nodes);\\n }\\n add(nodes_to_add) {\\n const node_ids_to_add = nodes_to_add.map((node) => node.graphNodeId());\\n this._node_ids = ArrayUtils.union(this._node_ids, node_ids_to_add);\\n this.send_update_event();\\n }\\n remove(nodes_to_remove) {\\n const node_ids_to_remove = nodes_to_remove.map((node) => node.graphNodeId());\\n this._node_ids = ArrayUtils.difference(this._node_ids, node_ids_to_remove);\\n this.send_update_event();\\n }\\n send_update_event() {\\n this._node.emit(NodeEvent.SELECTION_UPDATED);\\n }\\n toJSON() {\\n this._json = this._json || [];\\n this._json = this._node_ids.map((id) => id);\\n return this._json;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/InputCloneMode.ts\\nvar InputCloneMode;\\n(function(InputCloneMode2) {\\n InputCloneMode2[\\\\\\\"ALWAYS\\\\\\\"] = \\\\\\\"always\\\\\\\";\\n InputCloneMode2[\\\\\\\"NEVER\\\\\\\"] = \\\\\\\"never\\\\\\\";\\n InputCloneMode2[\\\\\\\"FROM_NODE\\\\\\\"] = \\\\\\\"from_node\\\\\\\";\\n})(InputCloneMode || (InputCloneMode = {}));\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/Assert.ts\\nvar TypeAssert = class {\\n static unreachable(x) {\\n throw new Error(\\\\\\\"Didn't expect to get here\\\\\\\");\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/operations/container/utils/inputs/ClonedStatesController.ts\\nvar ClonedStatesController = class {\\n constructor(inputs_controller) {\\n this.inputs_controller = inputs_controller;\\n this._clone_required_states = [];\\n this._overridden = false;\\n }\\n init_inputs_cloned_state(states) {\\n if (CoreType.isArray(states)) {\\n this._cloned_states = states;\\n } else {\\n this._cloned_state = states;\\n }\\n this._update_clone_required_state();\\n }\\n override_cloned_state_allowed() {\\n if (this._cloned_states) {\\n for (let state of this._cloned_states) {\\n if (state == InputCloneMode.FROM_NODE) {\\n return true;\\n }\\n }\\n }\\n if (this._cloned_state) {\\n return this._cloned_state == InputCloneMode.FROM_NODE;\\n }\\n return false;\\n }\\n clone_required_state(index) {\\n return this._clone_required_states[index];\\n }\\n clone_required_states() {\\n return this._clone_required_states;\\n }\\n _get_clone_required_state(index) {\\n const states = this._cloned_states;\\n if (states) {\\n const state = states[index];\\n if (state != null) {\\n return this.clone_required_from_state(state);\\n }\\n }\\n if (this._cloned_state) {\\n return this.clone_required_from_state(this._cloned_state);\\n }\\n return true;\\n }\\n clone_required_from_state(state) {\\n switch (state) {\\n case InputCloneMode.ALWAYS:\\n return true;\\n case InputCloneMode.NEVER:\\n return false;\\n case InputCloneMode.FROM_NODE:\\n return !this._overridden;\\n }\\n return TypeAssert.unreachable(state);\\n }\\n override_cloned_state(state) {\\n this._overridden = state;\\n this._update_clone_required_state();\\n }\\n overriden() {\\n return this._overridden;\\n }\\n _update_clone_required_state() {\\n if (this._cloned_states) {\\n const states = [];\\n for (let i = 0; i < this._cloned_states.length; i++) {\\n states[i] = this._get_clone_required_state(i);\\n }\\n this._clone_required_states = states;\\n return;\\n }\\n if (this._cloned_state) {\\n const max_inputs = this.inputs_controller.inputs_count();\\n const states = [];\\n for (let i = 0; i < max_inputs; i++) {\\n states[i] = this._get_clone_required_state(i);\\n }\\n this._clone_required_states = states;\\n return;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/operations/container/utils/InputsController.ts\\nvar InputsController = class {\\n constructor(operation_container) {\\n this.operation_container = operation_container;\\n }\\n inputs_count() {\\n return this.operation_container.inputs_count();\\n }\\n init_inputs_cloned_state(states) {\\n if (!this._cloned_states_controller) {\\n this._cloned_states_controller = new ClonedStatesController(this);\\n this._cloned_states_controller.init_inputs_cloned_state(states);\\n }\\n }\\n clone_required(index) {\\n const state = this._cloned_states_controller?.clone_required_state(index);\\n if (state != null) {\\n return state;\\n }\\n return true;\\n }\\n override_cloned_state(state) {\\n this._cloned_states_controller?.override_cloned_state(state);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/operations/container/_Base.ts\\nvar BaseOperationContainer = class {\\n constructor(operation, name, init_params) {\\n this.operation = operation;\\n this.name = name;\\n this.params = {};\\n this._apply_default_params();\\n this._apply_init_params(init_params);\\n this._init_cloned_states();\\n }\\n path_param_resolve_required() {\\n return this._path_params != null;\\n }\\n resolve_path_params(node_start) {\\n if (!this._path_params) {\\n return;\\n }\\n for (let path_param of this._path_params) {\\n path_param.resolve(node_start);\\n }\\n }\\n _apply_default_params() {\\n const default_params = this.operation.constructor.DEFAULT_PARAMS;\\n const param_names = Object.keys(default_params);\\n for (let param_name of param_names) {\\n const param_data = default_params[param_name];\\n const clone_param_data = this._convert_param_data(param_name, param_data);\\n if (clone_param_data != void 0) {\\n this.params[param_name] = clone_param_data;\\n }\\n }\\n }\\n _apply_init_params(init_params) {\\n const param_names = Object.keys(init_params);\\n for (let param_name of param_names) {\\n const param_data = init_params[param_name];\\n if (param_data.simple_data != null) {\\n const simple_data = param_data.simple_data;\\n const clone_param_data = this._convert_export_param_data(param_name, simple_data);\\n if (clone_param_data != void 0) {\\n this.params[param_name] = clone_param_data;\\n }\\n }\\n }\\n }\\n _convert_param_data(param_name, param_data) {\\n if (CoreType.isNumber(param_data) || CoreType.isBoolean(param_data) || CoreType.isString(param_data)) {\\n return param_data;\\n }\\n if (param_data instanceof TypedNodePathParamValue) {\\n const cloned = param_data.clone();\\n if (!this._path_params) {\\n this._path_params = [];\\n }\\n this._path_params.push(cloned);\\n return cloned;\\n }\\n if (param_data instanceof Color || param_data instanceof Vector2 || param_data instanceof Vector3 || param_data instanceof Vector4) {\\n return param_data.clone();\\n }\\n }\\n _convert_export_param_data(param_name, param_data) {\\n const default_param = this.params[param_name];\\n if (CoreType.isBoolean(param_data)) {\\n return param_data;\\n }\\n if (CoreType.isNumber(param_data)) {\\n if (CoreType.isBoolean(default_param)) {\\n return param_data >= 1 ? true : false;\\n } else {\\n return param_data;\\n }\\n }\\n if (CoreType.isString(param_data)) {\\n if (default_param) {\\n if (default_param instanceof TypedNodePathParamValue) {\\n return default_param.set_path(param_data);\\n }\\n if (default_param instanceof TypedParamPathParamValue) {\\n return default_param.set_path(param_data);\\n }\\n }\\n return param_data;\\n }\\n if (CoreType.isArray(param_data)) {\\n this.params[param_name].fromArray(param_data);\\n }\\n }\\n setInput(index, input) {\\n this._inputs = this._inputs || [];\\n this._inputs[index] = input;\\n }\\n inputs_count() {\\n if (this._inputs) {\\n return this._inputs.length;\\n } else {\\n return 0;\\n }\\n }\\n inputsController() {\\n return this._inputs_controller = this._inputs_controller || new InputsController(this);\\n }\\n _init_cloned_states() {\\n const default_cloned_states = this.operation.constructor.INPUT_CLONED_STATE;\\n this.inputsController().init_inputs_cloned_state(default_cloned_states);\\n }\\n input_clone_required(index) {\\n if (!this._inputs_controller) {\\n return true;\\n }\\n return this._inputs_controller.clone_required(index);\\n }\\n override_input_clone_state(state) {\\n this.inputsController().override_cloned_state(state);\\n }\\n cook(input_contents) {\\n return this.operation.cook(input_contents, this.params);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/operations/container/sop.ts\\nvar SopOperationContainer = class extends BaseOperationContainer {\\n constructor(operation, name, init_params) {\\n super(operation, name, init_params);\\n this.operation = operation;\\n this.name = name;\\n this.init_params = init_params;\\n this._inputs = [];\\n this._current_input_index = 0;\\n this._dirty = true;\\n }\\n add_input(input) {\\n super.setInput(this._current_input_index, input);\\n this.increment_input_index();\\n }\\n increment_input_index() {\\n this._current_input_index++;\\n }\\n current_input_index() {\\n return this._current_input_index;\\n }\\n setDirty() {\\n if (this._dirty) {\\n return;\\n }\\n this._compute_result = void 0;\\n for (let i = 0; i < this._inputs.length; i++) {\\n const input_operation = this._inputs[i];\\n input_operation.setDirty();\\n }\\n }\\n async compute(input_contents, operation_inputs_map) {\\n if (this._compute_result) {\\n return this._compute_result;\\n }\\n const operation_input_contents = [];\\n const node_inputs_map = operation_inputs_map.get(this);\\n if (node_inputs_map) {\\n node_inputs_map.forEach((node_input_index, operation_input_index) => {\\n operation_input_contents[operation_input_index] = input_contents[node_input_index];\\n });\\n }\\n for (let i = 0; i < this._inputs.length; i++) {\\n const input_operation = this._inputs[i];\\n let result2 = await input_operation.compute(input_contents, operation_inputs_map);\\n if (result2) {\\n if (this.input_clone_required(i)) {\\n result2 = result2.clone();\\n }\\n operation_input_contents[i] = result2;\\n }\\n }\\n const result = this.operation.cook(operation_input_contents, this.params);\\n if (result) {\\n if (result instanceof Promise) {\\n this._compute_result = await result;\\n } else {\\n this._compute_result = result;\\n }\\n } else {\\n this._compute_result = void 0;\\n }\\n this._dirty = false;\\n return this._compute_result;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/hierarchy/ChildrenController.ts\\nvar HierarchyChildrenController = class {\\n constructor(node, _context2) {\\n this.node = node;\\n this._context = _context2;\\n this._childrenByName = new Map();\\n this._childrenByType = new Map();\\n this._childrenAndGrandchildrenByContext = new Map();\\n }\\n get selection() {\\n return this._selection = this._selection || new CoreNodeSelection(this.node);\\n }\\n dispose() {\\n const children = this.children();\\n for (let child of children) {\\n this.node.removeNode(child);\\n }\\n this._selection = void 0;\\n }\\n get context() {\\n return this._context;\\n }\\n set_output_node_find_method(method) {\\n this._output_node_find_method = method;\\n }\\n output_node() {\\n if (this._output_node_find_method) {\\n return this._output_node_find_method();\\n }\\n }\\n setChildName(node, new_name) {\\n let current_child_with_name;\\n new_name = CoreString.sanitizeName(new_name);\\n if ((current_child_with_name = this._childrenByName.get(new_name)) != null) {\\n if (node.name() === new_name && current_child_with_name.graphNodeId() === node.graphNodeId()) {\\n return;\\n }\\n new_name = CoreString.increment(new_name);\\n return this.setChildName(node, new_name);\\n } else {\\n const current_name = node.name();\\n const current_child = this._childrenByName.get(current_name);\\n if (current_child) {\\n this._childrenByName.delete(current_name);\\n }\\n this._childrenByName.set(new_name, node);\\n node.nameController.updateNameFromParent(new_name);\\n this._addToNodesByType(node);\\n this.node.scene().nodesController.addToInstanciatedNode(node);\\n }\\n }\\n node_context_signature() {\\n return `${this.node.context()}/${this.node.type()}`;\\n }\\n available_children_classes() {\\n return Poly.registeredNodes(this._context, this.node.type());\\n }\\n isValidChildType(node_type) {\\n const node_class = this.available_children_classes()[node_type];\\n return node_class != null;\\n }\\n createNode(node_class_or_string, params_init_value_overrides, node_type = \\\\\\\"\\\\\\\") {\\n if (typeof node_class_or_string == \\\\\\\"string\\\\\\\") {\\n const node_class = this._find_node_class(node_class_or_string);\\n return this._create_and_init_node(node_class, params_init_value_overrides, node_type);\\n } else {\\n return this._create_and_init_node(node_class_or_string, params_init_value_overrides, node_type);\\n }\\n }\\n _create_and_init_node(node_class, params_init_value_overrides, node_type = \\\\\\\"\\\\\\\") {\\n const child_node = new node_class(this.node.scene(), `child_node_${node_type}`, params_init_value_overrides);\\n child_node.initialize_base_and_node();\\n this._addNode(child_node);\\n child_node.lifecycle.setCreationCompleted();\\n return child_node;\\n }\\n _find_node_class(node_type) {\\n const node_class = this.available_children_classes()[node_type.toLowerCase()];\\n if (node_class == null) {\\n const message = `child node type '${node_type}' not found for node '${this.node.path()}'. Available types are: ${Object.keys(this.available_children_classes()).join(\\\\\\\", \\\\\\\")}, ${this._context}, ${this.node.type()}`;\\n console.error(message);\\n throw message;\\n }\\n return node_class;\\n }\\n create_operation_container(operation_type, operation_container_name, params_init_value_overrides) {\\n const operation_class = Poly.registeredOperation(this._context, operation_type);\\n if (operation_class == null) {\\n const message = `no operation found with context ${this._context}/${operation_type}`;\\n console.error(message);\\n throw message;\\n } else {\\n const operation = new operation_class(this.node.scene());\\n const operation_container = new SopOperationContainer(operation, operation_container_name, params_init_value_overrides || {});\\n return operation_container;\\n }\\n }\\n _addNode(child_node) {\\n child_node.setParent(this.node);\\n child_node.params.init();\\n child_node.parentController.onSetParent();\\n child_node.nameController.runPostSetFullPathHooks();\\n if (child_node.childrenAllowed() && child_node.childrenController) {\\n for (let child of child_node.childrenController.children()) {\\n child.nameController.runPostSetFullPathHooks();\\n }\\n }\\n this.node.emit(NodeEvent.CREATED, {child_node_json: child_node.toJSON()});\\n if (this.node.scene().lifecycleController.onCreateHookAllowed()) {\\n child_node.lifecycle.run_on_create_hooks();\\n }\\n child_node.lifecycle.run_on_add_hooks();\\n this.setChildName(child_node, NameController.base_name(child_node));\\n this.node.lifecycle.run_on_child_add_hooks(child_node);\\n if (child_node.require_webgl2()) {\\n this.node.scene().webgl_controller.set_require_webgl2();\\n }\\n this.node.scene().missingExpressionReferencesController.checkForMissingReferences(child_node);\\n return child_node;\\n }\\n removeNode(child_node) {\\n if (child_node.parent() != this.node) {\\n return console.warn(`node ${child_node.name()} not under parent ${this.node.path()}`);\\n } else {\\n if (this.selection.contains(child_node)) {\\n this.selection.remove([child_node]);\\n }\\n const first_connection = child_node.io.connections.firstInputConnection();\\n const input_connections = child_node.io.connections.inputConnections();\\n const output_connections = child_node.io.connections.outputConnections();\\n if (input_connections) {\\n for (let input_connection of input_connections) {\\n if (input_connection) {\\n input_connection.disconnect({setInput: true});\\n }\\n }\\n }\\n if (output_connections) {\\n for (let output_connection of output_connections) {\\n if (output_connection) {\\n output_connection.disconnect({setInput: true});\\n if (first_connection) {\\n const old_src = first_connection.node_src;\\n const old_output_index = output_connection.output_index;\\n const old_dest = output_connection.node_dest;\\n const old_input_index = output_connection.input_index;\\n old_dest.io.inputs.setInput(old_input_index, old_src, old_output_index);\\n }\\n }\\n }\\n }\\n child_node.setParent(null);\\n this._childrenByName.delete(child_node.name());\\n this._removeFromNodesByType(child_node);\\n this.node.scene().nodesController.removeFromInstanciatedNode(child_node);\\n child_node.setSuccessorsDirty(this.node);\\n child_node.graphDisconnectSuccessors();\\n this.node.lifecycle.run_on_child_remove_hooks(child_node);\\n child_node.lifecycle.run_on_delete_hooks();\\n child_node.dispose();\\n child_node.emit(NodeEvent.DELETED, {parent_id: this.node.graphNodeId()});\\n }\\n }\\n _addToNodesByType(node) {\\n const nodeId = node.graphNodeId();\\n const type = node.type();\\n MapUtils.addToSetAtEntry(this._childrenByType, type, nodeId);\\n this._addToChildrenAndGrandchildrenByContext(node);\\n }\\n _removeFromNodesByType(node) {\\n const nodeId = node.graphNodeId();\\n const type = node.type();\\n MapUtils.removeFromSetAtEntry(this._childrenByType, type, nodeId);\\n this._removeFromChildrenAndGrandchildrenByContext(node);\\n }\\n _addToChildrenAndGrandchildrenByContext(node) {\\n const nodeId = node.graphNodeId();\\n const nodeContext = node.context();\\n MapUtils.addToSetAtEntry(this._childrenAndGrandchildrenByContext, nodeContext, nodeId);\\n const parent = this.node.parent();\\n if (parent && parent.childrenAllowed()) {\\n parent.childrenController?._addToChildrenAndGrandchildrenByContext(node);\\n }\\n }\\n _removeFromChildrenAndGrandchildrenByContext(node) {\\n const nodeId = node.graphNodeId();\\n const type = node.context();\\n MapUtils.removeFromSetAtEntry(this._childrenAndGrandchildrenByContext, type, nodeId);\\n const parent = this.node.parent();\\n if (parent && parent.childrenAllowed()) {\\n parent.childrenController?._removeFromChildrenAndGrandchildrenByContext(node);\\n }\\n }\\n nodesByType(type) {\\n const nodeIds = this._childrenByType.get(type);\\n if (!nodeIds) {\\n return [];\\n }\\n const graph = this.node.scene().graph;\\n const nodes = [];\\n for (let node_id of nodeIds) {\\n const node = graph.nodeFromId(node_id);\\n if (node) {\\n nodes.push(node);\\n }\\n }\\n return nodes;\\n }\\n childByName(name) {\\n return this._childrenByName.get(name) || null;\\n }\\n hasChildrenAndGrandchildrenWithContext(context) {\\n return this._childrenAndGrandchildrenByContext.get(context) != null;\\n }\\n children() {\\n const nodes = [];\\n this._childrenByName.forEach((node) => {\\n nodes.push(node);\\n });\\n return nodes;\\n }\\n childrenNames() {\\n const names = [];\\n this._childrenByName.forEach((node, nodeName) => {\\n names.push(nodeName);\\n });\\n return names;\\n }\\n traverseChildren(callback) {\\n this._childrenByName.forEach((childNode) => {\\n callback(childNode);\\n childNode.childrenController?.traverseChildren(callback);\\n });\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/LifeCycleController.ts\\nvar LifeCycleController = class {\\n constructor(node) {\\n this.node = node;\\n this._creation_completed = false;\\n }\\n dispose() {\\n this._on_child_add_hooks = void 0;\\n this._on_child_remove_hooks = void 0;\\n this._on_create_hooks = void 0;\\n this._on_add_hooks = void 0;\\n this._on_delete_hooks = void 0;\\n }\\n setCreationCompleted() {\\n if (!this._creation_completed) {\\n this._creation_completed = true;\\n }\\n }\\n creationCompleted() {\\n return this.node.scene().loadingController.loaded() && this._creation_completed;\\n }\\n add_on_child_add_hook(callback) {\\n this._on_child_add_hooks = this._on_child_add_hooks || [];\\n this._on_child_add_hooks.push(callback);\\n }\\n run_on_child_add_hooks(node) {\\n this.execute_hooks_with_child_node(this._on_child_add_hooks, node);\\n }\\n add_on_child_remove_hook(callback) {\\n this._on_child_remove_hooks = this._on_child_remove_hooks || [];\\n this._on_child_remove_hooks.push(callback);\\n }\\n run_on_child_remove_hooks(node) {\\n this.execute_hooks_with_child_node(this._on_child_remove_hooks, node);\\n }\\n add_on_create_hook(callback) {\\n this._on_create_hooks = this._on_create_hooks || [];\\n this._on_create_hooks.push(callback);\\n }\\n run_on_create_hooks() {\\n this.execute_hooks(this._on_create_hooks);\\n }\\n add_on_add_hook(callback) {\\n this._on_add_hooks = this._on_add_hooks || [];\\n this._on_add_hooks.push(callback);\\n }\\n run_on_add_hooks() {\\n this.execute_hooks(this._on_add_hooks);\\n }\\n add_delete_hook(callback) {\\n this._on_delete_hooks = this._on_delete_hooks || [];\\n this._on_delete_hooks.push(callback);\\n }\\n run_on_delete_hooks() {\\n this.execute_hooks(this._on_delete_hooks);\\n }\\n execute_hooks(hooks) {\\n if (hooks) {\\n let hook;\\n for (hook of hooks) {\\n hook();\\n }\\n }\\n }\\n execute_hooks_with_child_node(hooks, child_node) {\\n if (hooks) {\\n let hook;\\n for (hook of hooks) {\\n hook(child_node);\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/NodeContext.ts\\nvar NodeContext;\\n(function(NodeContext3) {\\n NodeContext3[\\\\\\\"ANIM\\\\\\\"] = \\\\\\\"anim\\\\\\\";\\n NodeContext3[\\\\\\\"COP\\\\\\\"] = \\\\\\\"cop\\\\\\\";\\n NodeContext3[\\\\\\\"EVENT\\\\\\\"] = \\\\\\\"event\\\\\\\";\\n NodeContext3[\\\\\\\"GL\\\\\\\"] = \\\\\\\"gl\\\\\\\";\\n NodeContext3[\\\\\\\"JS\\\\\\\"] = \\\\\\\"js\\\\\\\";\\n NodeContext3[\\\\\\\"MANAGER\\\\\\\"] = \\\\\\\"manager\\\\\\\";\\n NodeContext3[\\\\\\\"MAT\\\\\\\"] = \\\\\\\"mat\\\\\\\";\\n NodeContext3[\\\\\\\"OBJ\\\\\\\"] = \\\\\\\"obj\\\\\\\";\\n NodeContext3[\\\\\\\"POST\\\\\\\"] = \\\\\\\"post\\\\\\\";\\n NodeContext3[\\\\\\\"ROP\\\\\\\"] = \\\\\\\"rop\\\\\\\";\\n NodeContext3[\\\\\\\"SOP\\\\\\\"] = \\\\\\\"sop\\\\\\\";\\n})(NodeContext || (NodeContext = {}));\\nvar NetworkNodeType;\\n(function(NetworkNodeType2) {\\n NetworkNodeType2[\\\\\\\"ANIM\\\\\\\"] = \\\\\\\"animationsNetwork\\\\\\\";\\n NetworkNodeType2[\\\\\\\"COP\\\\\\\"] = \\\\\\\"copNetwork\\\\\\\";\\n NetworkNodeType2[\\\\\\\"EVENT\\\\\\\"] = \\\\\\\"eventsNetwork\\\\\\\";\\n NetworkNodeType2[\\\\\\\"MAT\\\\\\\"] = \\\\\\\"materialsNetwork\\\\\\\";\\n NetworkNodeType2[\\\\\\\"POST\\\\\\\"] = \\\\\\\"postProcessNetwork\\\\\\\";\\n NetworkNodeType2[\\\\\\\"ROP\\\\\\\"] = \\\\\\\"renderersNetwork\\\\\\\";\\n})(NetworkNodeType || (NetworkNodeType = {}));\\nvar NetworkChildNodeType;\\n(function(NetworkChildNodeType2) {\\n NetworkChildNodeType2[\\\\\\\"INPUT\\\\\\\"] = \\\\\\\"subnetInput\\\\\\\";\\n NetworkChildNodeType2[\\\\\\\"OUTPUT\\\\\\\"] = \\\\\\\"subnetOutput\\\\\\\";\\n})(NetworkChildNodeType || (NetworkChildNodeType = {}));\\nvar CameraNodeType;\\n(function(CameraNodeType2) {\\n CameraNodeType2[\\\\\\\"PERSPECTIVE\\\\\\\"] = \\\\\\\"perspectiveCamera\\\\\\\";\\n CameraNodeType2[\\\\\\\"ORTHOGRAPHIC\\\\\\\"] = \\\\\\\"orthographicCamera\\\\\\\";\\n})(CameraNodeType || (CameraNodeType = {}));\\nvar CAMERA_TYPES = [CameraNodeType.ORTHOGRAPHIC, CameraNodeType.PERSPECTIVE];\\nvar GlNodeType;\\n(function(GlNodeType2) {\\n GlNodeType2[\\\\\\\"ATTRIBUTE\\\\\\\"] = \\\\\\\"attribute\\\\\\\";\\n})(GlNodeType || (GlNodeType = {}));\\nvar CameraControlsNodeType;\\n(function(CameraControlsNodeType2) {\\n CameraControlsNodeType2[\\\\\\\"DEVICE_ORIENTATION\\\\\\\"] = \\\\\\\"cameraDeviceOrientationControls\\\\\\\";\\n CameraControlsNodeType2[\\\\\\\"MAP\\\\\\\"] = \\\\\\\"cameraMapControls\\\\\\\";\\n CameraControlsNodeType2[\\\\\\\"ORBIT\\\\\\\"] = \\\\\\\"cameraOrbitControls\\\\\\\";\\n CameraControlsNodeType2[\\\\\\\"FIRST_PERSON\\\\\\\"] = \\\\\\\"firstPersonControls\\\\\\\";\\n CameraControlsNodeType2[\\\\\\\"PLAYER\\\\\\\"] = \\\\\\\"playerControls\\\\\\\";\\n CameraControlsNodeType2[\\\\\\\"MOBILE_JOYSTICK\\\\\\\"] = \\\\\\\"mobileJoystickControls\\\\\\\";\\n})(CameraControlsNodeType || (CameraControlsNodeType = {}));\\nvar CAMERA_CONTROLS_NODE_TYPES = [\\n CameraControlsNodeType.DEVICE_ORIENTATION,\\n CameraControlsNodeType.MAP,\\n CameraControlsNodeType.ORBIT,\\n CameraControlsNodeType.FIRST_PERSON,\\n CameraControlsNodeType.MOBILE_JOYSTICK\\n];\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/_Base.ts\\nvar TypedContainer = class {\\n constructor(_node) {\\n this._node = _node;\\n }\\n set_node(node) {\\n this._node = node;\\n }\\n node() {\\n return this._node;\\n }\\n set_content(content) {\\n this._content = content;\\n this._post_set_content();\\n }\\n has_content() {\\n return this._content != null;\\n }\\n content() {\\n return this._content;\\n }\\n _post_set_content() {\\n }\\n coreContent() {\\n return this._content;\\n }\\n coreContentCloned() {\\n return this._content;\\n }\\n infos() {\\n return [];\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Animation.ts\\nvar AnimationContainer = class extends TypedContainer {\\n set_content(content) {\\n super.set_content(content);\\n }\\n setTimelineBuilder(timeline_builder) {\\n return this.set_content(timeline_builder);\\n }\\n timeline_builder() {\\n return this.content();\\n }\\n coreContentCloned() {\\n if (this._content) {\\n return this._content.clone();\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Event.ts\\nvar EventContainer = class extends TypedContainer {\\n set_content(content) {\\n super.set_content(content);\\n }\\n};\\n\\n// ../../../node_modules/three/src/objects/SkinnedMesh.js\\nvar _basePosition = /* @__PURE__ */ new Vector3();\\nvar _skinIndex = /* @__PURE__ */ new Vector4();\\nvar _skinWeight = /* @__PURE__ */ new Vector4();\\nvar _vector7 = /* @__PURE__ */ new Vector3();\\nvar _matrix2 = /* @__PURE__ */ new Matrix4();\\nvar SkinnedMesh = class extends Mesh {\\n constructor(geometry, material) {\\n super(geometry, material);\\n this.type = \\\\\\\"SkinnedMesh\\\\\\\";\\n this.bindMode = \\\\\\\"attached\\\\\\\";\\n this.bindMatrix = new Matrix4();\\n this.bindMatrixInverse = new Matrix4();\\n }\\n copy(source) {\\n super.copy(source);\\n this.bindMode = source.bindMode;\\n this.bindMatrix.copy(source.bindMatrix);\\n this.bindMatrixInverse.copy(source.bindMatrixInverse);\\n this.skeleton = source.skeleton;\\n return this;\\n }\\n bind(skeleton, bindMatrix) {\\n this.skeleton = skeleton;\\n if (bindMatrix === void 0) {\\n this.updateMatrixWorld(true);\\n this.skeleton.calculateInverses();\\n bindMatrix = this.matrixWorld;\\n }\\n this.bindMatrix.copy(bindMatrix);\\n this.bindMatrixInverse.copy(bindMatrix).invert();\\n }\\n pose() {\\n this.skeleton.pose();\\n }\\n normalizeSkinWeights() {\\n const vector = new Vector4();\\n const skinWeight = this.geometry.attributes.skinWeight;\\n for (let i = 0, l = skinWeight.count; i < l; i++) {\\n vector.x = skinWeight.getX(i);\\n vector.y = skinWeight.getY(i);\\n vector.z = skinWeight.getZ(i);\\n vector.w = skinWeight.getW(i);\\n const scale = 1 / vector.manhattanLength();\\n if (scale !== Infinity) {\\n vector.multiplyScalar(scale);\\n } else {\\n vector.set(1, 0, 0, 0);\\n }\\n skinWeight.setXYZW(i, vector.x, vector.y, vector.z, vector.w);\\n }\\n }\\n updateMatrixWorld(force) {\\n super.updateMatrixWorld(force);\\n if (this.bindMode === \\\\\\\"attached\\\\\\\") {\\n this.bindMatrixInverse.copy(this.matrixWorld).invert();\\n } else if (this.bindMode === \\\\\\\"detached\\\\\\\") {\\n this.bindMatrixInverse.copy(this.bindMatrix).invert();\\n } else {\\n console.warn(\\\\\\\"THREE.SkinnedMesh: Unrecognized bindMode: \\\\\\\" + this.bindMode);\\n }\\n }\\n boneTransform(index, target) {\\n const skeleton = this.skeleton;\\n const geometry = this.geometry;\\n _skinIndex.fromBufferAttribute(geometry.attributes.skinIndex, index);\\n _skinWeight.fromBufferAttribute(geometry.attributes.skinWeight, index);\\n _basePosition.copy(target).applyMatrix4(this.bindMatrix);\\n target.set(0, 0, 0);\\n for (let i = 0; i < 4; i++) {\\n const weight = _skinWeight.getComponent(i);\\n if (weight !== 0) {\\n const boneIndex = _skinIndex.getComponent(i);\\n _matrix2.multiplyMatrices(skeleton.bones[boneIndex].matrixWorld, skeleton.boneInverses[boneIndex]);\\n target.addScaledVector(_vector7.copy(_basePosition).applyMatrix4(_matrix2), weight);\\n }\\n }\\n return target.applyMatrix4(this.bindMatrixInverse);\\n }\\n};\\nSkinnedMesh.prototype.isSkinnedMesh = true;\\n\\n// ../../../node_modules/three/src/scenes/Scene.js\\nvar Scene = class extends Object3D {\\n constructor() {\\n super();\\n this.type = \\\\\\\"Scene\\\\\\\";\\n this.background = null;\\n this.environment = null;\\n this.fog = null;\\n this.overrideMaterial = null;\\n this.autoUpdate = true;\\n if (typeof __THREE_DEVTOOLS__ !== \\\\\\\"undefined\\\\\\\") {\\n __THREE_DEVTOOLS__.dispatchEvent(new CustomEvent(\\\\\\\"observe\\\\\\\", {detail: this}));\\n }\\n }\\n copy(source, recursive) {\\n super.copy(source, recursive);\\n if (source.background !== null)\\n this.background = source.background.clone();\\n if (source.environment !== null)\\n this.environment = source.environment.clone();\\n if (source.fog !== null)\\n this.fog = source.fog.clone();\\n if (source.overrideMaterial !== null)\\n this.overrideMaterial = source.overrideMaterial.clone();\\n this.autoUpdate = source.autoUpdate;\\n this.matrixAutoUpdate = source.matrixAutoUpdate;\\n return this;\\n }\\n toJSON(meta) {\\n const data = super.toJSON(meta);\\n if (this.fog !== null)\\n data.object.fog = this.fog.toJSON();\\n return data;\\n }\\n};\\nScene.prototype.isScene = true;\\n\\n// ../../../node_modules/three/src/materials/PointsMaterial.js\\nvar PointsMaterial = class extends Material {\\n constructor(parameters) {\\n super();\\n this.type = \\\\\\\"PointsMaterial\\\\\\\";\\n this.color = new Color(16777215);\\n this.map = null;\\n this.alphaMap = null;\\n this.size = 1;\\n this.sizeAttenuation = true;\\n this.setValues(parameters);\\n }\\n copy(source) {\\n super.copy(source);\\n this.color.copy(source.color);\\n this.map = source.map;\\n this.alphaMap = source.alphaMap;\\n this.size = source.size;\\n this.sizeAttenuation = source.sizeAttenuation;\\n return this;\\n }\\n};\\nPointsMaterial.prototype.isPointsMaterial = true;\\n\\n// ../../../node_modules/three/src/objects/Points.js\\nvar _inverseMatrix2 = /* @__PURE__ */ new Matrix4();\\nvar _ray2 = /* @__PURE__ */ new Ray();\\nvar _sphere3 = /* @__PURE__ */ new Sphere();\\nvar _position2 = /* @__PURE__ */ new Vector3();\\nvar Points = class extends Object3D {\\n constructor(geometry = new BufferGeometry(), material = new PointsMaterial()) {\\n super();\\n this.type = \\\\\\\"Points\\\\\\\";\\n this.geometry = geometry;\\n this.material = material;\\n this.updateMorphTargets();\\n }\\n copy(source) {\\n super.copy(source);\\n this.material = source.material;\\n this.geometry = source.geometry;\\n return this;\\n }\\n raycast(raycaster, intersects) {\\n const geometry = this.geometry;\\n const matrixWorld = this.matrixWorld;\\n const threshold = raycaster.params.Points.threshold;\\n const drawRange = geometry.drawRange;\\n if (geometry.boundingSphere === null)\\n geometry.computeBoundingSphere();\\n _sphere3.copy(geometry.boundingSphere);\\n _sphere3.applyMatrix4(matrixWorld);\\n _sphere3.radius += threshold;\\n if (raycaster.ray.intersectsSphere(_sphere3) === false)\\n return;\\n _inverseMatrix2.copy(matrixWorld).invert();\\n _ray2.copy(raycaster.ray).applyMatrix4(_inverseMatrix2);\\n const localThreshold = threshold / ((this.scale.x + this.scale.y + this.scale.z) / 3);\\n const localThresholdSq = localThreshold * localThreshold;\\n if (geometry.isBufferGeometry) {\\n const index = geometry.index;\\n const attributes = geometry.attributes;\\n const positionAttribute = attributes.position;\\n if (index !== null) {\\n const start = Math.max(0, drawRange.start);\\n const end = Math.min(index.count, drawRange.start + drawRange.count);\\n for (let i = start, il = end; i < il; i++) {\\n const a = index.getX(i);\\n _position2.fromBufferAttribute(positionAttribute, a);\\n testPoint(_position2, a, localThresholdSq, matrixWorld, raycaster, intersects, this);\\n }\\n } else {\\n const start = Math.max(0, drawRange.start);\\n const end = Math.min(positionAttribute.count, drawRange.start + drawRange.count);\\n for (let i = start, l = end; i < l; i++) {\\n _position2.fromBufferAttribute(positionAttribute, i);\\n testPoint(_position2, i, localThresholdSq, matrixWorld, raycaster, intersects, this);\\n }\\n }\\n } else {\\n console.error(\\\\\\\"THREE.Points.raycast() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\");\\n }\\n }\\n updateMorphTargets() {\\n const geometry = this.geometry;\\n if (geometry.isBufferGeometry) {\\n const morphAttributes = geometry.morphAttributes;\\n const keys = Object.keys(morphAttributes);\\n if (keys.length > 0) {\\n const morphAttribute = morphAttributes[keys[0]];\\n if (morphAttribute !== void 0) {\\n this.morphTargetInfluences = [];\\n this.morphTargetDictionary = {};\\n for (let m = 0, ml = morphAttribute.length; m < ml; m++) {\\n const name = morphAttribute[m].name || String(m);\\n this.morphTargetInfluences.push(0);\\n this.morphTargetDictionary[name] = m;\\n }\\n }\\n }\\n } else {\\n const morphTargets = geometry.morphTargets;\\n if (morphTargets !== void 0 && morphTargets.length > 0) {\\n console.error(\\\\\\\"THREE.Points.updateMorphTargets() does not support THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\");\\n }\\n }\\n }\\n};\\nPoints.prototype.isPoints = true;\\nfunction testPoint(point, index, localThresholdSq, matrixWorld, raycaster, intersects, object) {\\n const rayPointDistanceSq = _ray2.distanceSqToPoint(point);\\n if (rayPointDistanceSq < localThresholdSq) {\\n const intersectPoint = new Vector3();\\n _ray2.closestPointToPoint(point, intersectPoint);\\n intersectPoint.applyMatrix4(matrixWorld);\\n const distance = raycaster.ray.origin.distanceTo(intersectPoint);\\n if (distance < raycaster.near || distance > raycaster.far)\\n return;\\n intersects.push({\\n distance,\\n distanceToRay: Math.sqrt(rayPointDistanceSq),\\n point: intersectPoint,\\n index,\\n face: null,\\n object\\n });\\n }\\n}\\n\\n// ../../../node_modules/three/src/objects/Bone.js\\nvar Bone = class extends Object3D {\\n constructor() {\\n super();\\n this.type = \\\\\\\"Bone\\\\\\\";\\n }\\n};\\nBone.prototype.isBone = true;\\n\\n// ../../../node_modules/three/src/materials/MeshStandardMaterial.js\\nvar MeshStandardMaterial = class extends Material {\\n constructor(parameters) {\\n super();\\n this.defines = {STANDARD: \\\\\\\"\\\\\\\"};\\n this.type = \\\\\\\"MeshStandardMaterial\\\\\\\";\\n this.color = new Color(16777215);\\n this.roughness = 1;\\n this.metalness = 0;\\n this.map = null;\\n this.lightMap = null;\\n this.lightMapIntensity = 1;\\n this.aoMap = null;\\n this.aoMapIntensity = 1;\\n this.emissive = new Color(0);\\n this.emissiveIntensity = 1;\\n this.emissiveMap = null;\\n this.bumpMap = null;\\n this.bumpScale = 1;\\n this.normalMap = null;\\n this.normalMapType = TangentSpaceNormalMap;\\n this.normalScale = new Vector2(1, 1);\\n this.displacementMap = null;\\n this.displacementScale = 1;\\n this.displacementBias = 0;\\n this.roughnessMap = null;\\n this.metalnessMap = null;\\n this.alphaMap = null;\\n this.envMap = null;\\n this.envMapIntensity = 1;\\n this.refractionRatio = 0.98;\\n this.wireframe = false;\\n this.wireframeLinewidth = 1;\\n this.wireframeLinecap = \\\\\\\"round\\\\\\\";\\n this.wireframeLinejoin = \\\\\\\"round\\\\\\\";\\n this.flatShading = false;\\n this.setValues(parameters);\\n }\\n copy(source) {\\n super.copy(source);\\n this.defines = {STANDARD: \\\\\\\"\\\\\\\"};\\n this.color.copy(source.color);\\n this.roughness = source.roughness;\\n this.metalness = source.metalness;\\n this.map = source.map;\\n this.lightMap = source.lightMap;\\n this.lightMapIntensity = source.lightMapIntensity;\\n this.aoMap = source.aoMap;\\n this.aoMapIntensity = source.aoMapIntensity;\\n this.emissive.copy(source.emissive);\\n this.emissiveMap = source.emissiveMap;\\n this.emissiveIntensity = source.emissiveIntensity;\\n this.bumpMap = source.bumpMap;\\n this.bumpScale = source.bumpScale;\\n this.normalMap = source.normalMap;\\n this.normalMapType = source.normalMapType;\\n this.normalScale.copy(source.normalScale);\\n this.displacementMap = source.displacementMap;\\n this.displacementScale = source.displacementScale;\\n this.displacementBias = source.displacementBias;\\n this.roughnessMap = source.roughnessMap;\\n this.metalnessMap = source.metalnessMap;\\n this.alphaMap = source.alphaMap;\\n this.envMap = source.envMap;\\n this.envMapIntensity = source.envMapIntensity;\\n this.refractionRatio = source.refractionRatio;\\n this.wireframe = source.wireframe;\\n this.wireframeLinewidth = source.wireframeLinewidth;\\n this.wireframeLinecap = source.wireframeLinecap;\\n this.wireframeLinejoin = source.wireframeLinejoin;\\n this.flatShading = source.flatShading;\\n return this;\\n }\\n};\\nMeshStandardMaterial.prototype.isMeshStandardMaterial = true;\\n\\n// ../../../node_modules/three/src/materials/MeshLambertMaterial.js\\nvar MeshLambertMaterial = class extends Material {\\n constructor(parameters) {\\n super();\\n this.type = \\\\\\\"MeshLambertMaterial\\\\\\\";\\n this.color = new Color(16777215);\\n this.map = null;\\n this.lightMap = null;\\n this.lightMapIntensity = 1;\\n this.aoMap = null;\\n this.aoMapIntensity = 1;\\n this.emissive = new Color(0);\\n this.emissiveIntensity = 1;\\n this.emissiveMap = null;\\n this.specularMap = null;\\n this.alphaMap = null;\\n this.envMap = null;\\n this.combine = MultiplyOperation;\\n this.reflectivity = 1;\\n this.refractionRatio = 0.98;\\n this.wireframe = false;\\n this.wireframeLinewidth = 1;\\n this.wireframeLinecap = \\\\\\\"round\\\\\\\";\\n this.wireframeLinejoin = \\\\\\\"round\\\\\\\";\\n this.setValues(parameters);\\n }\\n copy(source) {\\n super.copy(source);\\n this.color.copy(source.color);\\n this.map = source.map;\\n this.lightMap = source.lightMap;\\n this.lightMapIntensity = source.lightMapIntensity;\\n this.aoMap = source.aoMap;\\n this.aoMapIntensity = source.aoMapIntensity;\\n this.emissive.copy(source.emissive);\\n this.emissiveMap = source.emissiveMap;\\n this.emissiveIntensity = source.emissiveIntensity;\\n this.specularMap = source.specularMap;\\n this.alphaMap = source.alphaMap;\\n this.envMap = source.envMap;\\n this.combine = source.combine;\\n this.reflectivity = source.reflectivity;\\n this.refractionRatio = source.refractionRatio;\\n this.wireframe = source.wireframe;\\n this.wireframeLinewidth = source.wireframeLinewidth;\\n this.wireframeLinecap = source.wireframeLinecap;\\n this.wireframeLinejoin = source.wireframeLinejoin;\\n return this;\\n }\\n};\\nMeshLambertMaterial.prototype.isMeshLambertMaterial = true;\\n\\n// ../../../node_modules/three/src/materials/LineBasicMaterial.js\\nvar LineBasicMaterial = class extends Material {\\n constructor(parameters) {\\n super();\\n this.type = \\\\\\\"LineBasicMaterial\\\\\\\";\\n this.color = new Color(16777215);\\n this.linewidth = 1;\\n this.linecap = \\\\\\\"round\\\\\\\";\\n this.linejoin = \\\\\\\"round\\\\\\\";\\n this.setValues(parameters);\\n }\\n copy(source) {\\n super.copy(source);\\n this.color.copy(source.color);\\n this.linewidth = source.linewidth;\\n this.linecap = source.linecap;\\n this.linejoin = source.linejoin;\\n return this;\\n }\\n};\\nLineBasicMaterial.prototype.isLineBasicMaterial = true;\\n\\n// ../../../node_modules/three/src/objects/Line.js\\nvar _start = /* @__PURE__ */ new Vector3();\\nvar _end = /* @__PURE__ */ new Vector3();\\nvar _inverseMatrix3 = /* @__PURE__ */ new Matrix4();\\nvar _ray3 = /* @__PURE__ */ new Ray();\\nvar _sphere4 = /* @__PURE__ */ new Sphere();\\nvar Line = class extends Object3D {\\n constructor(geometry = new BufferGeometry(), material = new LineBasicMaterial()) {\\n super();\\n this.type = \\\\\\\"Line\\\\\\\";\\n this.geometry = geometry;\\n this.material = material;\\n this.updateMorphTargets();\\n }\\n copy(source) {\\n super.copy(source);\\n this.material = source.material;\\n this.geometry = source.geometry;\\n return this;\\n }\\n computeLineDistances() {\\n const geometry = this.geometry;\\n if (geometry.isBufferGeometry) {\\n if (geometry.index === null) {\\n const positionAttribute = geometry.attributes.position;\\n const lineDistances = [0];\\n for (let i = 1, l = positionAttribute.count; i < l; i++) {\\n _start.fromBufferAttribute(positionAttribute, i - 1);\\n _end.fromBufferAttribute(positionAttribute, i);\\n lineDistances[i] = lineDistances[i - 1];\\n lineDistances[i] += _start.distanceTo(_end);\\n }\\n geometry.setAttribute(\\\\\\\"lineDistance\\\\\\\", new Float32BufferAttribute(lineDistances, 1));\\n } else {\\n console.warn(\\\\\\\"THREE.Line.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.\\\\\\\");\\n }\\n } else if (geometry.isGeometry) {\\n console.error(\\\\\\\"THREE.Line.computeLineDistances() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\");\\n }\\n return this;\\n }\\n raycast(raycaster, intersects) {\\n const geometry = this.geometry;\\n const matrixWorld = this.matrixWorld;\\n const threshold = raycaster.params.Line.threshold;\\n const drawRange = geometry.drawRange;\\n if (geometry.boundingSphere === null)\\n geometry.computeBoundingSphere();\\n _sphere4.copy(geometry.boundingSphere);\\n _sphere4.applyMatrix4(matrixWorld);\\n _sphere4.radius += threshold;\\n if (raycaster.ray.intersectsSphere(_sphere4) === false)\\n return;\\n _inverseMatrix3.copy(matrixWorld).invert();\\n _ray3.copy(raycaster.ray).applyMatrix4(_inverseMatrix3);\\n const localThreshold = threshold / ((this.scale.x + this.scale.y + this.scale.z) / 3);\\n const localThresholdSq = localThreshold * localThreshold;\\n const vStart = new Vector3();\\n const vEnd = new Vector3();\\n const interSegment = new Vector3();\\n const interRay = new Vector3();\\n const step = this.isLineSegments ? 2 : 1;\\n if (geometry.isBufferGeometry) {\\n const index = geometry.index;\\n const attributes = geometry.attributes;\\n const positionAttribute = attributes.position;\\n if (index !== null) {\\n const start = Math.max(0, drawRange.start);\\n const end = Math.min(index.count, drawRange.start + drawRange.count);\\n for (let i = start, l = end - 1; i < l; i += step) {\\n const a = index.getX(i);\\n const b = index.getX(i + 1);\\n vStart.fromBufferAttribute(positionAttribute, a);\\n vEnd.fromBufferAttribute(positionAttribute, b);\\n const distSq = _ray3.distanceSqToSegment(vStart, vEnd, interRay, interSegment);\\n if (distSq > localThresholdSq)\\n continue;\\n interRay.applyMatrix4(this.matrixWorld);\\n const distance = raycaster.ray.origin.distanceTo(interRay);\\n if (distance < raycaster.near || distance > raycaster.far)\\n continue;\\n intersects.push({\\n distance,\\n point: interSegment.clone().applyMatrix4(this.matrixWorld),\\n index: i,\\n face: null,\\n faceIndex: null,\\n object: this\\n });\\n }\\n } else {\\n const start = Math.max(0, drawRange.start);\\n const end = Math.min(positionAttribute.count, drawRange.start + drawRange.count);\\n for (let i = start, l = end - 1; i < l; i += step) {\\n vStart.fromBufferAttribute(positionAttribute, i);\\n vEnd.fromBufferAttribute(positionAttribute, i + 1);\\n const distSq = _ray3.distanceSqToSegment(vStart, vEnd, interRay, interSegment);\\n if (distSq > localThresholdSq)\\n continue;\\n interRay.applyMatrix4(this.matrixWorld);\\n const distance = raycaster.ray.origin.distanceTo(interRay);\\n if (distance < raycaster.near || distance > raycaster.far)\\n continue;\\n intersects.push({\\n distance,\\n point: interSegment.clone().applyMatrix4(this.matrixWorld),\\n index: i,\\n face: null,\\n faceIndex: null,\\n object: this\\n });\\n }\\n }\\n } else if (geometry.isGeometry) {\\n console.error(\\\\\\\"THREE.Line.raycast() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\");\\n }\\n }\\n updateMorphTargets() {\\n const geometry = this.geometry;\\n if (geometry.isBufferGeometry) {\\n const morphAttributes = geometry.morphAttributes;\\n const keys = Object.keys(morphAttributes);\\n if (keys.length > 0) {\\n const morphAttribute = morphAttributes[keys[0]];\\n if (morphAttribute !== void 0) {\\n this.morphTargetInfluences = [];\\n this.morphTargetDictionary = {};\\n for (let m = 0, ml = morphAttribute.length; m < ml; m++) {\\n const name = morphAttribute[m].name || String(m);\\n this.morphTargetInfluences.push(0);\\n this.morphTargetDictionary[name] = m;\\n }\\n }\\n }\\n } else {\\n const morphTargets = geometry.morphTargets;\\n if (morphTargets !== void 0 && morphTargets.length > 0) {\\n console.error(\\\\\\\"THREE.Line.updateMorphTargets() does not support THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\");\\n }\\n }\\n }\\n};\\nLine.prototype.isLine = true;\\n\\n// ../../../node_modules/three/src/objects/LineSegments.js\\nvar _start2 = /* @__PURE__ */ new Vector3();\\nvar _end2 = /* @__PURE__ */ new Vector3();\\nvar LineSegments = class extends Line {\\n constructor(geometry, material) {\\n super(geometry, material);\\n this.type = \\\\\\\"LineSegments\\\\\\\";\\n }\\n computeLineDistances() {\\n const geometry = this.geometry;\\n if (geometry.isBufferGeometry) {\\n if (geometry.index === null) {\\n const positionAttribute = geometry.attributes.position;\\n const lineDistances = [];\\n for (let i = 0, l = positionAttribute.count; i < l; i += 2) {\\n _start2.fromBufferAttribute(positionAttribute, i);\\n _end2.fromBufferAttribute(positionAttribute, i + 1);\\n lineDistances[i] = i === 0 ? 0 : lineDistances[i - 1];\\n lineDistances[i + 1] = lineDistances[i] + _start2.distanceTo(_end2);\\n }\\n geometry.setAttribute(\\\\\\\"lineDistance\\\\\\\", new Float32BufferAttribute(lineDistances, 1));\\n } else {\\n console.warn(\\\\\\\"THREE.LineSegments.computeLineDistances(): Computation only possible with non-indexed BufferGeometry.\\\\\\\");\\n }\\n } else if (geometry.isGeometry) {\\n console.error(\\\\\\\"THREE.LineSegments.computeLineDistances() no longer supports THREE.Geometry. Use THREE.BufferGeometry instead.\\\\\\\");\\n }\\n return this;\\n }\\n};\\nLineSegments.prototype.isLineSegments = true;\\n\\n// ../../../node_modules/three/src/objects/LOD.js\\nvar _v16 = /* @__PURE__ */ new Vector3();\\nvar _v23 = /* @__PURE__ */ new Vector3();\\nvar LOD = class extends Object3D {\\n constructor() {\\n super();\\n this._currentLevel = 0;\\n this.type = \\\\\\\"LOD\\\\\\\";\\n Object.defineProperties(this, {\\n levels: {\\n enumerable: true,\\n value: []\\n },\\n isLOD: {\\n value: true\\n }\\n });\\n this.autoUpdate = true;\\n }\\n copy(source) {\\n super.copy(source, false);\\n const levels = source.levels;\\n for (let i = 0, l = levels.length; i < l; i++) {\\n const level = levels[i];\\n this.addLevel(level.object.clone(), level.distance);\\n }\\n this.autoUpdate = source.autoUpdate;\\n return this;\\n }\\n addLevel(object, distance = 0) {\\n distance = Math.abs(distance);\\n const levels = this.levels;\\n let l;\\n for (l = 0; l < levels.length; l++) {\\n if (distance < levels[l].distance) {\\n break;\\n }\\n }\\n levels.splice(l, 0, {distance, object});\\n this.add(object);\\n return this;\\n }\\n getCurrentLevel() {\\n return this._currentLevel;\\n }\\n getObjectForDistance(distance) {\\n const levels = this.levels;\\n if (levels.length > 0) {\\n let i, l;\\n for (i = 1, l = levels.length; i < l; i++) {\\n if (distance < levels[i].distance) {\\n break;\\n }\\n }\\n return levels[i - 1].object;\\n }\\n return null;\\n }\\n raycast(raycaster, intersects) {\\n const levels = this.levels;\\n if (levels.length > 0) {\\n _v16.setFromMatrixPosition(this.matrixWorld);\\n const distance = raycaster.ray.origin.distanceTo(_v16);\\n this.getObjectForDistance(distance).raycast(raycaster, intersects);\\n }\\n }\\n update(camera) {\\n const levels = this.levels;\\n if (levels.length > 1) {\\n _v16.setFromMatrixPosition(camera.matrixWorld);\\n _v23.setFromMatrixPosition(this.matrixWorld);\\n const distance = _v16.distanceTo(_v23) / camera.zoom;\\n levels[0].object.visible = true;\\n let i, l;\\n for (i = 1, l = levels.length; i < l; i++) {\\n if (distance >= levels[i].distance) {\\n levels[i - 1].object.visible = false;\\n levels[i].object.visible = true;\\n } else {\\n break;\\n }\\n }\\n this._currentLevel = i - 1;\\n for (; i < l; i++) {\\n levels[i].object.visible = false;\\n }\\n }\\n }\\n toJSON(meta) {\\n const data = super.toJSON(meta);\\n if (this.autoUpdate === false)\\n data.object.autoUpdate = false;\\n data.object.levels = [];\\n const levels = this.levels;\\n for (let i = 0, l = levels.length; i < l; i++) {\\n const level = levels[i];\\n data.object.levels.push({\\n object: level.object.uuid,\\n distance: level.distance\\n });\\n }\\n return data;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/Constant.ts\\nvar ObjectType;\\n(function(ObjectType2) {\\n ObjectType2[\\\\\\\"OBJECT3D\\\\\\\"] = \\\\\\\"Object3D\\\\\\\";\\n ObjectType2[\\\\\\\"GROUP\\\\\\\"] = \\\\\\\"Group\\\\\\\";\\n ObjectType2[\\\\\\\"MESH\\\\\\\"] = \\\\\\\"Mesh\\\\\\\";\\n ObjectType2[\\\\\\\"POINTS\\\\\\\"] = \\\\\\\"Points\\\\\\\";\\n ObjectType2[\\\\\\\"LINE_SEGMENTS\\\\\\\"] = \\\\\\\"LineSegments\\\\\\\";\\n ObjectType2[\\\\\\\"LOD\\\\\\\"] = \\\\\\\"LOD\\\\\\\";\\n})(ObjectType || (ObjectType = {}));\\nvar OBJECT_CONSTRUCTOR_BY_OBJECT_TYPE = {\\n [ObjectType.MESH]: Mesh,\\n [ObjectType.GROUP]: Group,\\n [ObjectType.POINTS]: Points,\\n [ObjectType.LINE_SEGMENTS]: LineSegments,\\n [ObjectType.OBJECT3D]: Object3D,\\n [ObjectType.LOD]: LOD\\n};\\nfunction objectTypeFromConstructor(constructor) {\\n switch (constructor) {\\n case Object3D:\\n return ObjectType.OBJECT3D;\\n case Group:\\n return ObjectType.GROUP;\\n case Mesh:\\n return ObjectType.MESH;\\n case Points:\\n return ObjectType.POINTS;\\n case LineSegments:\\n return ObjectType.LINE_SEGMENTS;\\n case LOD:\\n return ObjectType.LOD;\\n default:\\n Poly.warn(\\\\\\\"object type not supported\\\\\\\", constructor);\\n return ObjectType.MESH;\\n }\\n}\\nvar ObjectTypes = [ObjectType.MESH, ObjectType.POINTS, ObjectType.LINE_SEGMENTS];\\nvar ObjectTypeMenuEntries = [\\n {name: \\\\\\\"Mesh\\\\\\\", value: ObjectTypes.indexOf(ObjectType.MESH)},\\n {name: \\\\\\\"Points\\\\\\\", value: ObjectTypes.indexOf(ObjectType.POINTS)},\\n {name: \\\\\\\"LineSegments\\\\\\\", value: ObjectTypes.indexOf(ObjectType.LINE_SEGMENTS)}\\n];\\nvar materials = {\\n MeshStandard: new MeshStandardMaterial({\\n color: 16777215,\\n side: FrontSide,\\n metalness: 0.5,\\n roughness: 0.9\\n }),\\n [ObjectType.MESH]: new MeshLambertMaterial({\\n color: new Color(1, 1, 1),\\n side: FrontSide,\\n vertexColors: false,\\n transparent: true,\\n depthTest: true\\n }),\\n [ObjectType.POINTS]: new PointsMaterial({\\n color: 16777215,\\n size: 0.1,\\n depthTest: true\\n }),\\n [ObjectType.LINE_SEGMENTS]: new LineBasicMaterial({\\n color: 16777215,\\n linewidth: 1\\n })\\n};\\nvar AttribClass;\\n(function(AttribClass3) {\\n AttribClass3[AttribClass3[\\\\\\\"VERTEX\\\\\\\"] = 0] = \\\\\\\"VERTEX\\\\\\\";\\n AttribClass3[AttribClass3[\\\\\\\"OBJECT\\\\\\\"] = 1] = \\\\\\\"OBJECT\\\\\\\";\\n})(AttribClass || (AttribClass = {}));\\nvar AttribType;\\n(function(AttribType2) {\\n AttribType2[AttribType2[\\\\\\\"NUMERIC\\\\\\\"] = 0] = \\\\\\\"NUMERIC\\\\\\\";\\n AttribType2[AttribType2[\\\\\\\"STRING\\\\\\\"] = 1] = \\\\\\\"STRING\\\\\\\";\\n})(AttribType || (AttribType = {}));\\nvar AttribSize;\\n(function(AttribSize5) {\\n AttribSize5[AttribSize5[\\\\\\\"FLOAT\\\\\\\"] = 1] = \\\\\\\"FLOAT\\\\\\\";\\n AttribSize5[AttribSize5[\\\\\\\"VECTOR2\\\\\\\"] = 2] = \\\\\\\"VECTOR2\\\\\\\";\\n AttribSize5[AttribSize5[\\\\\\\"VECTOR3\\\\\\\"] = 3] = \\\\\\\"VECTOR3\\\\\\\";\\n AttribSize5[AttribSize5[\\\\\\\"VECTOR4\\\\\\\"] = 4] = \\\\\\\"VECTOR4\\\\\\\";\\n})(AttribSize || (AttribSize = {}));\\nvar CoreConstant = {\\n ATTRIB_CLASS: {\\n VERTEX: 0,\\n OBJECT: 1\\n },\\n OBJECT_TYPES: ObjectTypes,\\n CONSTRUCTOR_NAMES_BY_CONSTRUCTOR_NAME: {\\n [Scene.name]: \\\\\\\"Scene\\\\\\\",\\n [Group.name]: \\\\\\\"Group\\\\\\\",\\n [Object3D.name]: \\\\\\\"Object3D\\\\\\\",\\n [Mesh.name]: \\\\\\\"Mesh\\\\\\\",\\n [Points.name]: \\\\\\\"Points\\\\\\\",\\n [LineSegments.name]: \\\\\\\"LineSegments\\\\\\\",\\n [Bone.name]: \\\\\\\"Bone\\\\\\\",\\n [SkinnedMesh.name]: \\\\\\\"SkinnedMesh\\\\\\\"\\n },\\n CONSTRUCTORS_BY_NAME: {\\n [ObjectType.MESH]: Mesh,\\n [ObjectType.POINTS]: Points,\\n [ObjectType.LINE_SEGMENTS]: LineSegments\\n },\\n MATERIALS: materials\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/Attribute.ts\\nvar Attribute;\\n(function(Attribute2) {\\n Attribute2[\\\\\\\"COLOR\\\\\\\"] = \\\\\\\"color\\\\\\\";\\n Attribute2[\\\\\\\"NORMAL\\\\\\\"] = \\\\\\\"normal\\\\\\\";\\n Attribute2[\\\\\\\"POSITION\\\\\\\"] = \\\\\\\"position\\\\\\\";\\n Attribute2[\\\\\\\"PSCALE\\\\\\\"] = \\\\\\\"pscale\\\\\\\";\\n Attribute2[\\\\\\\"UP\\\\\\\"] = \\\\\\\"up\\\\\\\";\\n Attribute2[\\\\\\\"UV\\\\\\\"] = \\\\\\\"uv\\\\\\\";\\n Attribute2[\\\\\\\"SCALE\\\\\\\"] = \\\\\\\"scale\\\\\\\";\\n Attribute2[\\\\\\\"TANGENT\\\\\\\"] = \\\\\\\"tangent\\\\\\\";\\n})(Attribute || (Attribute = {}));\\nvar ATTRIB_NAME_MAP = {\\n P: Attribute.POSITION,\\n N: Attribute.NORMAL,\\n Cd: Attribute.COLOR\\n};\\nvar CoreAttribute = class {\\n static remapName(name) {\\n return ATTRIB_NAME_MAP[name] || name;\\n }\\n static arrayToIndexedArrays(array) {\\n const index_by_value = {};\\n let current_index = 0;\\n const indices = [];\\n const values = [];\\n let i = 0;\\n while (i < array.length) {\\n const value = array[i];\\n const index = index_by_value[value];\\n if (index != null) {\\n indices.push(index);\\n } else {\\n values.push(value);\\n indices.push(current_index);\\n index_by_value[value] = current_index;\\n current_index += 1;\\n }\\n i++;\\n }\\n return {\\n indices,\\n values\\n };\\n }\\n static default_value(size) {\\n switch (size) {\\n case 1:\\n return 0;\\n case 2:\\n return new Vector2(0, 0);\\n case 3:\\n return new Vector3(0, 0, 0);\\n default:\\n throw `size ${size} not yet implemented`;\\n }\\n }\\n static copy(src, dest, mark_as_needs_update = true) {\\n const src_array = src?.array;\\n const dest_array = dest?.array;\\n if (src_array && dest_array) {\\n const min_length = Math.min(src_array.length, dest_array.length);\\n for (let i = 0; i < min_length; i++) {\\n dest_array[i] = src_array[i];\\n }\\n if (mark_as_needs_update) {\\n dest.needsUpdate = true;\\n }\\n }\\n }\\n static attribSizeFromValue(val) {\\n if (CoreType.isString(val) || CoreType.isNumber(val)) {\\n return AttribSize.FLOAT;\\n }\\n if (CoreType.isArray(val)) {\\n return val.length;\\n }\\n switch (val.constructor) {\\n case Vector2:\\n return AttribSize.VECTOR2;\\n case Vector3:\\n return AttribSize.VECTOR3;\\n case Vector4:\\n return AttribSize.VECTOR4;\\n }\\n return 0;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/Entity.ts\\nvar CoreEntity = class {\\n constructor(_index) {\\n this._index = _index;\\n }\\n index() {\\n return this._index;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/Point.ts\\nvar ATTRIB_NAMES = {\\n POSITION: \\\\\\\"position\\\\\\\",\\n NORMAL: \\\\\\\"normal\\\\\\\"\\n};\\nvar ComponentName;\\n(function(ComponentName2) {\\n ComponentName2[\\\\\\\"x\\\\\\\"] = \\\\\\\"x\\\\\\\";\\n ComponentName2[\\\\\\\"y\\\\\\\"] = \\\\\\\"y\\\\\\\";\\n ComponentName2[\\\\\\\"z\\\\\\\"] = \\\\\\\"z\\\\\\\";\\n ComponentName2[\\\\\\\"w\\\\\\\"] = \\\\\\\"w\\\\\\\";\\n ComponentName2[\\\\\\\"r\\\\\\\"] = \\\\\\\"r\\\\\\\";\\n ComponentName2[\\\\\\\"g\\\\\\\"] = \\\\\\\"g\\\\\\\";\\n ComponentName2[\\\\\\\"b\\\\\\\"] = \\\\\\\"b\\\\\\\";\\n})(ComponentName || (ComponentName = {}));\\nvar COMPONENT_INDICES = {\\n x: 0,\\n y: 1,\\n z: 2,\\n w: 3,\\n r: 0,\\n g: 1,\\n b: 2\\n};\\nvar PTNUM = \\\\\\\"ptnum\\\\\\\";\\nvar DOT = \\\\\\\".\\\\\\\";\\nvar CorePoint = class extends CoreEntity {\\n constructor(_coreGeometry, _index) {\\n super(_index);\\n this._coreGeometry = _coreGeometry;\\n this._geometry = this._coreGeometry.geometry();\\n }\\n applyMatrix4(matrix) {\\n this.position().applyMatrix4(matrix);\\n }\\n coreGeometry() {\\n return this._coreGeometry;\\n }\\n geometry() {\\n return this._geometry = this._geometry || this._coreGeometry.geometry();\\n }\\n attribSize(name) {\\n name = CoreAttribute.remapName(name);\\n return this._geometry.getAttribute(name).itemSize;\\n }\\n hasAttrib(name) {\\n const remapped_name = CoreAttribute.remapName(name);\\n return this._coreGeometry.hasAttrib(remapped_name);\\n }\\n attribValue(name, target) {\\n if (name === PTNUM) {\\n return this.index();\\n } else {\\n let component_name = null;\\n let component_index = null;\\n if (name[name.length - 2] === DOT) {\\n component_name = name[name.length - 1];\\n component_index = COMPONENT_INDICES[component_name];\\n name = name.substring(0, name.length - 2);\\n }\\n const remaped_name = CoreAttribute.remapName(name);\\n const attrib = this._geometry.getAttribute(remaped_name);\\n if (attrib) {\\n const {array} = attrib;\\n if (this._coreGeometry.isAttribIndexed(remaped_name)) {\\n return this.indexedAttribValue(remaped_name);\\n } else {\\n const size = attrib.itemSize;\\n const start_index = this._index * size;\\n if (component_index == null) {\\n switch (size) {\\n case 1:\\n return array[start_index];\\n break;\\n case 2:\\n target = target || new Vector2();\\n target.fromArray(array, start_index);\\n return target;\\n break;\\n case 3:\\n target = target || new Vector3();\\n target.fromArray(array, start_index);\\n return target;\\n break;\\n case 4:\\n target = target || new Vector4();\\n target.fromArray(array, start_index);\\n return target;\\n break;\\n default:\\n throw `size not valid (${size})`;\\n }\\n } else {\\n switch (size) {\\n case 1:\\n return array[start_index];\\n break;\\n default:\\n return array[start_index + component_index];\\n }\\n }\\n }\\n } else {\\n const message = `attrib ${name} not found. availables are: ${Object.keys(this._geometry.attributes || {}).join(\\\\\\\",\\\\\\\")}`;\\n console.warn(message);\\n throw message;\\n }\\n }\\n }\\n attribValueNumber(name) {\\n const remapedName = CoreAttribute.remapName(name);\\n const attrib = this._geometry.getAttribute(remapedName);\\n return attrib.array[this._index];\\n }\\n attribValueVector2(name, target) {\\n const remapedName = CoreAttribute.remapName(name);\\n const attrib = this._geometry.getAttribute(remapedName);\\n target.fromArray(attrib.array, this._index * 2);\\n return target;\\n }\\n attribValueVector3(name, target) {\\n const remapedName = CoreAttribute.remapName(name);\\n const attrib = this._geometry.getAttribute(remapedName);\\n target.fromArray(attrib.array, this._index * 3);\\n return target;\\n }\\n attribValueVector4(name, target) {\\n const remapedName = CoreAttribute.remapName(name);\\n const attrib = this._geometry.getAttribute(remapedName);\\n target.fromArray(attrib.array, this._index * 4);\\n return target;\\n }\\n indexedAttribValue(name) {\\n const value_index = this.attribValueIndex(name);\\n return this._coreGeometry.userDataAttrib(name)[value_index];\\n }\\n stringAttribValue(name) {\\n return this.indexedAttribValue(name);\\n }\\n attribValueIndex(name) {\\n if (this._coreGeometry.isAttribIndexed(name)) {\\n return this._geometry.getAttribute(name).array[this._index];\\n } else {\\n return -1;\\n }\\n }\\n isAttribIndexed(name) {\\n return this._coreGeometry.isAttribIndexed(name);\\n }\\n position() {\\n return this._position || (this._position = this.getPosition(new Vector3()));\\n }\\n getPosition(target) {\\n const {array} = this._geometry.getAttribute(ATTRIB_NAMES.POSITION);\\n return target.fromArray(array, this._index * 3);\\n }\\n setPosition(new_position) {\\n this.setAttribValueVector3(ATTRIB_NAMES.POSITION, new_position);\\n }\\n normal() {\\n return this._normal = this._normal || this.getNormal(new Vector3());\\n }\\n getNormal(target) {\\n const {array} = this._geometry.getAttribute(ATTRIB_NAMES.NORMAL);\\n return target.fromArray(array, this._index * 3);\\n }\\n setNormal(new_normal) {\\n return this.setAttribValueVector3(ATTRIB_NAMES.NORMAL, new_normal);\\n }\\n setAttribValue(attribName, value) {\\n const attrib = this._geometry.getAttribute(attribName);\\n const array = attrib.array;\\n const attribSize = attrib.itemSize;\\n if (CoreType.isArray(value)) {\\n for (let i = 0; i < attribSize; i++) {\\n array[this._index * attribSize + i] = value[i];\\n }\\n return;\\n }\\n switch (attribSize) {\\n case 1:\\n array[this._index] = value;\\n break;\\n case 2:\\n const v2 = value;\\n const i2 = this._index * 2;\\n array[i2 + 0] = v2.x;\\n array[i2 + 1] = v2.y;\\n break;\\n case 3:\\n const isColor = value.r != null;\\n const i3 = this._index * 3;\\n if (isColor) {\\n const col = value;\\n array[i3 + 0] = col.r;\\n array[i3 + 1] = col.g;\\n array[i3 + 2] = col.b;\\n } else {\\n const v3 = value;\\n array[i3 + 0] = v3.x;\\n array[i3 + 1] = v3.y;\\n array[i3 + 2] = v3.z;\\n }\\n break;\\n case 4:\\n const v4 = value;\\n const i4 = this._index * 4;\\n array[i4 + 0] = v4.x;\\n array[i4 + 1] = v4.y;\\n array[i4 + 2] = v4.z;\\n array[i4 + 3] = v4.w;\\n break;\\n default:\\n console.warn(`Point.set_attrib_value does not yet allow attrib size ${attribSize}`);\\n throw `attrib size ${attribSize} not implemented`;\\n }\\n }\\n setAttribValueFromNumber(attribName, value) {\\n const attrib = this._geometry.getAttribute(attribName);\\n const array = attrib.array;\\n array[this._index] = value;\\n }\\n setAttribValueFromVector2(attribName, value) {\\n const attrib = this._geometry.getAttribute(attribName);\\n value.toArray(attrib.array, this._index * 2);\\n }\\n setAttribValueFromVector3(attribName, value) {\\n const attrib = this._geometry.getAttribute(attribName);\\n value.toArray(attrib.array, this._index * 3);\\n }\\n setAttribValueFromVector4(attribName, value) {\\n const attrib = this._geometry.getAttribute(attribName);\\n value.toArray(attrib.array, this._index * 4);\\n }\\n setAttribValueVector3(name, value) {\\n if (value == null) {\\n return;\\n }\\n if (name == null) {\\n throw \\\\\\\"Point.set_attrib_value requires a name\\\\\\\";\\n }\\n const attrib = this._geometry.getAttribute(name);\\n const array = attrib.array;\\n const i = this._index * 3;\\n array[i] = value.x;\\n array[i + 1] = value.y;\\n array[i + 2] = value.z;\\n }\\n setAttribIndex(name, new_value_index) {\\n const array = this._geometry.getAttribute(name).array;\\n return array[this._index] = new_value_index;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/math/Easing.ts\\nvar ease_i = function(power) {\\n return function(t) {\\n return Math.pow(t, power);\\n };\\n};\\nvar ease_o = function(power) {\\n return function(t) {\\n return 1 - Math.abs(Math.pow(t - 1, power));\\n };\\n};\\nvar ease_io = function(power) {\\n return function(t) {\\n return t < 0.5 ? ease_i(power)(t * 2) / 2 : ease_o(power)(t * 2 - 1) / 2 + 0.5;\\n };\\n};\\nvar Easing = {\\n linear: ease_io(1),\\n ease_i: function(t, power) {\\n return ease_i(power)(t);\\n },\\n ease_o: function(t, power) {\\n return ease_o(power)(t);\\n },\\n ease_io: function(t, power) {\\n return ease_io(power)(t);\\n },\\n ease_i2: ease_i(2),\\n ease_o2: ease_o(2),\\n ease_io2: ease_io(2),\\n ease_i3: ease_io(3),\\n ease_o3: ease_io(3),\\n ease_io3: ease_io(3),\\n ease_i4: ease_io(4),\\n ease_o4: ease_io(4),\\n ease_io4: ease_io(4),\\n ease_i_sin: function(t) {\\n return 1 + Math.sin(Math.PI / 2 * t - Math.PI / 2);\\n },\\n ease_o_sin: function(t) {\\n return Math.sin(Math.PI / 2 * t);\\n },\\n ease_io_sin: function(t) {\\n return (1 + Math.sin(Math.PI * t - Math.PI / 2)) / 2;\\n },\\n ease_i_elastic: function(t) {\\n return (0.04 - 0.04 / t) * Math.sin(25 * t) + 1;\\n },\\n ease_o_elastic: function(t) {\\n return 0.04 * t / --t * Math.sin(25 * t);\\n },\\n ease_io_elastic: function(t) {\\n return (t -= 0.5) < 0 ? (0.02 + 0.01 / t) * Math.sin(50 * t) : (0.02 - 0.01 / t) * Math.sin(50 * t) + 1;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/math/_Module.ts\\nvar RAD_DEG_RATIO = Math.PI / 180;\\nvar RAND_A = 12.9898;\\nvar RAND_B = 78.233;\\nvar RAND_C = 43758.5453;\\nvar CoreMath = class {\\n static clamp(val, min, max) {\\n if (val < min) {\\n return min;\\n } else if (val > max) {\\n return max;\\n } else {\\n return val;\\n }\\n }\\n static fit01(val, dest_min, dest_max) {\\n return this.fit(val, 0, 1, dest_min, dest_max);\\n }\\n static fit(val, src_min, src_max, dest_min, dest_max) {\\n const src_range = src_max - src_min;\\n const dest_range = dest_max - dest_min;\\n const r = (val - src_min) / src_range;\\n return r * dest_range + dest_min;\\n }\\n static blend(num0, num1, blend) {\\n return (1 - blend) * num0 + blend * num1;\\n }\\n static degrees_to_radians(degrees) {\\n return degrees * RAD_DEG_RATIO;\\n }\\n static radians_to_degrees(radians) {\\n return radians / RAD_DEG_RATIO;\\n }\\n static deg2rad(deg) {\\n return this.degrees_to_radians(deg);\\n }\\n static rad2deg(rad) {\\n return this.radians_to_degrees(rad);\\n }\\n static rand(number) {\\n if (CoreType.isNumber(number)) {\\n return this.randFloat(number);\\n } else {\\n return this.randVec2(number);\\n }\\n }\\n static round(number, step_size) {\\n const steps_count = number / step_size;\\n const rounded_steps_count = number < 0 ? Math.ceil(steps_count) : Math.floor(steps_count);\\n return rounded_steps_count * step_size;\\n }\\n static highest_even(number) {\\n return 2 * Math.ceil(number * 0.5);\\n }\\n static randFloat(x, y = 136574) {\\n this._vec.x = x;\\n this._vec.y = y;\\n return this.randVec2(this._vec);\\n }\\n static randVec2(uv) {\\n const dt = uv.x * RAND_A + uv.y * RAND_B;\\n const sn = dt % Math.PI;\\n return this.fract(Math.sin(sn) * RAND_C);\\n }\\n static geodesic_distance(lnglat1, lnglat2) {\\n var R = 6371e3;\\n var d1 = this.deg2rad(lnglat1.lat);\\n var d2 = this.deg2rad(lnglat2.lat);\\n var ad1 = this.deg2rad(lnglat2.lat - lnglat1.lat);\\n var ad2 = this.deg2rad(lnglat2.lng - lnglat1.lng);\\n var a = Math.sin(ad1 / 2) * Math.sin(ad1 / 2) + Math.cos(d1) * Math.cos(d2) * Math.sin(ad2 / 2) * Math.sin(ad2 / 2);\\n var c = 2 * Math.atan2(Math.sqrt(a), Math.sqrt(1 - a));\\n var d = R * c;\\n return d;\\n }\\n static expand_triangle(triangle, margin) {\\n triangle.getMidpoint(this._triangle_mid);\\n this._triangle_mid_to_corner.copy(triangle.a).sub(this._triangle_mid);\\n this._triangle_mid_to_corner.normalize().multiplyScalar(margin);\\n triangle.a.add(this._triangle_mid_to_corner);\\n this._triangle_mid_to_corner.copy(triangle.b).sub(this._triangle_mid);\\n this._triangle_mid_to_corner.normalize().multiplyScalar(margin);\\n triangle.b.add(this._triangle_mid_to_corner);\\n this._triangle_mid_to_corner.copy(triangle.c).sub(this._triangle_mid);\\n this._triangle_mid_to_corner.normalize().multiplyScalar(margin);\\n triangle.c.add(this._triangle_mid_to_corner);\\n }\\n static nearestPower2(num) {\\n return Math.pow(2, Math.ceil(Math.log(num) / Math.log(2)));\\n }\\n};\\nCoreMath.Easing = Easing;\\nCoreMath.fract = (number) => number - Math.floor(number);\\nCoreMath._vec = {x: 0, y: 136574};\\nCoreMath._triangle_mid = new Vector3();\\nCoreMath._triangle_mid_to_corner = new Vector3();\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/Face.ts\\nvar CoreFace = class {\\n constructor(_coreGeometry, _index) {\\n this._coreGeometry = _coreGeometry;\\n this._index = _index;\\n this._geometry = this._coreGeometry.geometry();\\n }\\n index() {\\n return this._index;\\n }\\n points() {\\n return this._points = this._points || this._get_points();\\n }\\n applyMatrix4(matrix) {\\n for (let point of this.points()) {\\n point.applyMatrix4(matrix);\\n }\\n }\\n _get_points() {\\n const indexArray = this._geometry.index?.array || [];\\n const start = this._index * 3;\\n return [\\n new CorePoint(this._coreGeometry, indexArray[start + 0]),\\n new CorePoint(this._coreGeometry, indexArray[start + 1]),\\n new CorePoint(this._coreGeometry, indexArray[start + 2])\\n ];\\n }\\n positions() {\\n return this._positions = this._positions || this._getPositions();\\n }\\n _getPositions() {\\n const points2 = this.points();\\n return [points2[0].position(), points2[1].position(), points2[2].position()];\\n }\\n triangle() {\\n return this._triangle = this._triangle || this._get_triangle();\\n }\\n _get_triangle() {\\n const positions = this.positions();\\n return new Triangle(positions[0], positions[1], positions[2]);\\n }\\n deltas() {\\n return this._deltas = this._deltas || this._getDeltas();\\n }\\n _getDeltas() {\\n const positions = this.positions();\\n return [positions[1].clone().sub(positions[0]), positions[2].clone().sub(positions[0])];\\n }\\n area() {\\n return this.triangle().getArea();\\n }\\n center(target) {\\n const positions = this.positions();\\n target.x = (positions[0].x + positions[1].x + positions[2].x) / 3;\\n target.y = (positions[0].y + positions[1].y + positions[2].y) / 3;\\n target.z = (positions[0].z + positions[1].z + positions[2].z) / 3;\\n return target;\\n }\\n randomPosition(seed) {\\n let weights = [CoreMath.randFloat(seed), CoreMath.randFloat(seed * 6541)];\\n if (weights[0] + weights[1] > 1) {\\n weights[0] = 1 - weights[0];\\n weights[1] = 1 - weights[1];\\n }\\n return this.positions()[0].clone().add(this.deltas()[0].clone().multiplyScalar(weights[0])).add(this.deltas()[1].clone().multiplyScalar(weights[1]));\\n }\\n attribValueAtPosition(attrib_name, position) {\\n const barycentricCoordinates = new Vector3();\\n this.triangle().getBarycoord(position, barycentricCoordinates);\\n const weights = barycentricCoordinates.toArray();\\n const attrib = this._geometry.attributes[attrib_name];\\n const attribSize = attrib.itemSize;\\n const pointValues = this.points().map((point) => point.attribValue(attrib_name));\\n let newAttribValue;\\n let sum;\\n let index = 0;\\n switch (attribSize) {\\n case 1: {\\n sum = 0;\\n for (let pointValue of pointValues) {\\n sum += pointValue * weights[index];\\n index++;\\n }\\n newAttribValue = sum;\\n break;\\n }\\n default: {\\n for (let pointValue of pointValues) {\\n const weightedValue = pointValue.multiplyScalar(weights[index]);\\n if (sum) {\\n sum.add(weightedValue);\\n } else {\\n sum = weightedValue;\\n }\\n index++;\\n }\\n newAttribValue = sum;\\n }\\n }\\n return newAttribValue;\\n }\\n static interpolatedValue(geometry, face, intersectPoint, attrib) {\\n const pointIndices = [face.a, face.b, face.c];\\n const positionAttrib = geometry.getAttribute(\\\\\\\"position\\\\\\\");\\n const positionAttribArray = positionAttrib.array;\\n const pointPositions = pointIndices.map((point_index) => new Vector3(positionAttribArray[point_index * 3 + 0], positionAttribArray[point_index * 3 + 1], positionAttribArray[point_index * 3 + 2]));\\n const attribSize = attrib.itemSize;\\n const attribArray = attrib.array;\\n let attribValues = [];\\n switch (attribSize) {\\n case 1:\\n attribValues = pointIndices.map((point_index) => attribArray[point_index]);\\n break;\\n case 2:\\n attribValues = pointIndices.map((point_index) => new Vector2(attribArray[point_index * 2 + 0], attribArray[point_index * 2 + 1]));\\n break;\\n case 3:\\n attribValues = pointIndices.map((point_index) => new Vector3(attribArray[point_index * 3 + 0], attribArray[point_index * 3 + 1], attribArray[point_index * 3 + 2]));\\n break;\\n }\\n const distToPoints = pointIndices.map((point_index, i) => intersectPoint.distanceTo(pointPositions[i]));\\n const distanceTotal = ArrayUtils.sum([\\n distToPoints[0] * distToPoints[1],\\n distToPoints[0] * distToPoints[2],\\n distToPoints[1] * distToPoints[2]\\n ]);\\n const weights = [\\n distToPoints[1] * distToPoints[2] / distanceTotal,\\n distToPoints[0] * distToPoints[2] / distanceTotal,\\n distToPoints[0] * distToPoints[1] / distanceTotal\\n ];\\n let newAttribValue;\\n switch (attribSize) {\\n case 1:\\n newAttribValue = ArrayUtils.sum(pointIndices.map((point_indx, i) => weights[i] * attribValues[i]));\\n break;\\n default:\\n var values = pointIndices.map((point_index, i) => attribValues[i].multiplyScalar(weights[i]));\\n newAttribValue = null;\\n for (let value of values) {\\n if (newAttribValue) {\\n newAttribValue.add(value);\\n } else {\\n newAttribValue = value;\\n }\\n }\\n }\\n return newAttribValue;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/builders/_Base.ts\\nvar CoreGeometryBuilderBase = class {\\n from_points(points2) {\\n points2 = this._filter_points(points2);\\n const geometry = new BufferGeometry();\\n const core_geometry = new CoreGeometry(geometry);\\n const first_point = points2[0];\\n if (first_point != null) {\\n const old_geometry = first_point.geometry();\\n const old_core_geometry = first_point.coreGeometry();\\n const new_index_by_old_index = {};\\n for (let i = 0; i < points2.length; i++) {\\n new_index_by_old_index[points2[i].index()] = i;\\n }\\n const indices = this._indices_from_points(new_index_by_old_index, old_geometry);\\n if (indices) {\\n geometry.setIndex(indices);\\n }\\n const {attributes} = old_geometry;\\n for (let attribute_name of Object.keys(attributes)) {\\n const attrib_values = old_core_geometry.userDataAttribs()[attribute_name];\\n const is_attrib_indexed = attrib_values != null;\\n if (is_attrib_indexed) {\\n const new_values = ArrayUtils.uniq(points2.map((point) => point.indexedAttribValue(attribute_name)));\\n const new_index_by_value = {};\\n new_values.forEach((new_value, i) => new_index_by_value[new_value] = i);\\n core_geometry.userDataAttribs()[attribute_name] = new_values;\\n const new_attrib_indices = [];\\n for (let point of points2) {\\n const new_index = new_index_by_value[point.indexedAttribValue(attribute_name)];\\n new_attrib_indices.push(new_index);\\n }\\n geometry.setAttribute(attribute_name, new Float32BufferAttribute(new_attrib_indices, 1));\\n } else {\\n const attrib_size = attributes[attribute_name].itemSize;\\n const values = new Array(points2.length * attrib_size);\\n switch (attrib_size) {\\n case 1:\\n for (let i = 0; i < points2.length; i++) {\\n values[i] = points2[i].attribValue(attribute_name);\\n }\\n break;\\n default:\\n let value;\\n for (let i = 0; i < points2.length; i++) {\\n value = points2[i].attribValue(attribute_name);\\n value.toArray(values, i * attrib_size);\\n }\\n break;\\n }\\n geometry.setAttribute(attribute_name, new Float32BufferAttribute(values, attrib_size));\\n }\\n }\\n }\\n return geometry;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/builders/Points.ts\\nvar CoreGeometryBuilderPoints = class extends CoreGeometryBuilderBase {\\n _filter_points(points2) {\\n return points2;\\n }\\n _indices_from_points(new_index_by_old_index, old_geometry) {\\n const index_attrib = old_geometry.index;\\n if (index_attrib != null) {\\n const old_indices = index_attrib.array;\\n const new_indices = [];\\n let old_index;\\n let new_index;\\n for (let i = 0; i < old_indices.length; i++) {\\n old_index = old_indices[i];\\n new_index = new_index_by_old_index[old_index];\\n if (new_index != null) {\\n new_indices.push(new_index);\\n }\\n }\\n return new_indices;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/modules/three/examples/jsm/utils/BufferGeometryUtils.js\\nfunction mergeBufferGeometries(geometries, useGroups = false) {\\n const isIndexed = geometries[0].index !== null;\\n const attributesUsed = new Set(Object.keys(geometries[0].attributes));\\n const morphAttributesUsed = new Set(Object.keys(geometries[0].morphAttributes));\\n const attributes = {};\\n const morphAttributes = {};\\n const morphTargetsRelative = geometries[0].morphTargetsRelative;\\n const mergedGeometry = new BufferGeometry();\\n let offset = 0;\\n for (let i = 0; i < geometries.length; ++i) {\\n const geometry = geometries[i];\\n let attributesCount = 0;\\n if (isIndexed !== (geometry.index !== null)) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferGeometries() failed with geometry at index \\\\\\\" + i + \\\\\\\". All geometries must have compatible attributes; make sure index attribute exists among all geometries, or in none of them.\\\\\\\");\\n return null;\\n }\\n for (const name in geometry.attributes) {\\n if (!attributesUsed.has(name)) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferGeometries() failed with geometry at index \\\\\\\" + i + '. All geometries must have compatible attributes; make sure \\\\\\\"' + name + '\\\\\\\" attribute exists among all geometries, or in none of them.');\\n return null;\\n }\\n if (attributes[name] === void 0)\\n attributes[name] = [];\\n attributes[name].push(geometry.attributes[name]);\\n attributesCount++;\\n }\\n if (attributesCount !== attributesUsed.size) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferGeometries() failed with geometry at index \\\\\\\" + i + \\\\\\\". Make sure all geometries have the same number of attributes.\\\\\\\");\\n return null;\\n }\\n if (morphTargetsRelative !== geometry.morphTargetsRelative) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferGeometries() failed with geometry at index \\\\\\\" + i + \\\\\\\". .morphTargetsRelative must be consistent throughout all geometries.\\\\\\\");\\n return null;\\n }\\n for (const name in geometry.morphAttributes) {\\n if (!morphAttributesUsed.has(name)) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferGeometries() failed with geometry at index \\\\\\\" + i + \\\\\\\". .morphAttributes must be consistent throughout all geometries.\\\\\\\");\\n return null;\\n }\\n if (morphAttributes[name] === void 0)\\n morphAttributes[name] = [];\\n morphAttributes[name].push(geometry.morphAttributes[name]);\\n }\\n mergedGeometry.userData.mergedUserData = mergedGeometry.userData.mergedUserData || [];\\n mergedGeometry.userData.mergedUserData.push(geometry.userData);\\n if (useGroups) {\\n let count;\\n if (isIndexed) {\\n count = geometry.index.count;\\n } else if (geometry.attributes.position !== void 0) {\\n count = geometry.attributes.position.count;\\n } else {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferGeometries() failed with geometry at index \\\\\\\" + i + \\\\\\\". The geometry must have either an index or a position attribute\\\\\\\");\\n return null;\\n }\\n mergedGeometry.addGroup(offset, count, i);\\n offset += count;\\n }\\n }\\n if (isIndexed) {\\n let indexOffset = 0;\\n const mergedIndex = [];\\n for (let i = 0; i < geometries.length; ++i) {\\n const index = geometries[i].index;\\n for (let j = 0; j < index.count; ++j) {\\n mergedIndex.push(index.getX(j) + indexOffset);\\n }\\n indexOffset += geometries[i].attributes.position.count;\\n }\\n mergedGeometry.setIndex(mergedIndex);\\n }\\n for (const name in attributes) {\\n const mergedAttribute = mergeBufferAttributes(attributes[name]);\\n if (!mergedAttribute) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferGeometries() failed while trying to merge the \\\\\\\" + name + \\\\\\\" attribute.\\\\\\\");\\n return null;\\n }\\n mergedGeometry.setAttribute(name, mergedAttribute);\\n }\\n for (const name in morphAttributes) {\\n const numMorphTargets = morphAttributes[name][0].length;\\n if (numMorphTargets === 0)\\n break;\\n mergedGeometry.morphAttributes = mergedGeometry.morphAttributes || {};\\n mergedGeometry.morphAttributes[name] = [];\\n for (let i = 0; i < numMorphTargets; ++i) {\\n const morphAttributesToMerge = [];\\n for (let j = 0; j < morphAttributes[name].length; ++j) {\\n morphAttributesToMerge.push(morphAttributes[name][j][i]);\\n }\\n const mergedMorphAttribute = mergeBufferAttributes(morphAttributesToMerge);\\n if (!mergedMorphAttribute) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferGeometries() failed while trying to merge the \\\\\\\" + name + \\\\\\\" morphAttribute.\\\\\\\");\\n return null;\\n }\\n mergedGeometry.morphAttributes[name].push(mergedMorphAttribute);\\n }\\n }\\n return mergedGeometry;\\n}\\nfunction mergeBufferAttributes(attributes) {\\n let TypedArray;\\n let itemSize;\\n let normalized;\\n let arrayLength = 0;\\n for (let i = 0; i < attributes.length; ++i) {\\n const attribute = attributes[i];\\n if (attribute.isInterleavedBufferAttribute) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferAttributes() failed. InterleavedBufferAttributes are not supported.\\\\\\\");\\n return null;\\n }\\n if (TypedArray === void 0)\\n TypedArray = attribute.array.constructor;\\n if (TypedArray !== attribute.array.constructor) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferAttributes() failed. BufferAttribute.array must be of consistent array types across matching attributes.\\\\\\\");\\n return null;\\n }\\n if (itemSize === void 0)\\n itemSize = attribute.itemSize;\\n if (itemSize !== attribute.itemSize) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferAttributes() failed. BufferAttribute.itemSize must be consistent across matching attributes.\\\\\\\");\\n return null;\\n }\\n if (normalized === void 0)\\n normalized = attribute.normalized;\\n if (normalized !== attribute.normalized) {\\n console.error(\\\\\\\"THREE.BufferGeometryUtils: .mergeBufferAttributes() failed. BufferAttribute.normalized must be consistent across matching attributes.\\\\\\\");\\n return null;\\n }\\n arrayLength += attribute.array.length;\\n }\\n const array = new TypedArray(arrayLength);\\n let offset = 0;\\n for (let i = 0; i < attributes.length; ++i) {\\n array.set(attributes[i].array, offset);\\n offset += attributes[i].array.length;\\n }\\n return new BufferAttribute(array, itemSize, normalized);\\n}\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/util/IndexBuilder.ts\\nvar POSITION = \\\\\\\"position\\\\\\\";\\nvar CoreGeometryIndexBuilder = class {\\n static createIndexIfNone(geometry) {\\n if (!geometry.index) {\\n const position = geometry.getAttribute(POSITION);\\n if (position) {\\n const position_array = position.array;\\n geometry.setIndex(ArrayUtils.range(position_array.length / 3));\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/builders/Merge.ts\\nvar CoreGeometryBuilderMerge = class {\\n static merge(geometries) {\\n if (geometries.length === 0) {\\n return;\\n }\\n for (let geometry of geometries) {\\n CoreGeometryIndexBuilder.createIndexIfNone(geometry);\\n }\\n const core_geometries = geometries.map((geometry) => new CoreGeometry(geometry));\\n const indexed_attribute_names = core_geometries[0].indexedAttributeNames();\\n const new_values_by_attribute_name = {};\\n for (let indexed_attribute_name of indexed_attribute_names) {\\n const index_by_values = {};\\n const all_geometries_points = [];\\n for (let core_geometry of core_geometries) {\\n const geometry_points = core_geometry.points();\\n for (let point of geometry_points) {\\n all_geometries_points.push(point);\\n const value = point.indexedAttribValue(indexed_attribute_name);\\n index_by_values[value] != null ? index_by_values[value] : index_by_values[value] = Object.keys(index_by_values).length;\\n }\\n }\\n const values = Object.keys(index_by_values);\\n for (let point of all_geometries_points) {\\n const value = point.indexedAttribValue(indexed_attribute_name);\\n const new_index = index_by_values[value];\\n point.setAttribIndex(indexed_attribute_name, new_index);\\n }\\n new_values_by_attribute_name[indexed_attribute_name] = values;\\n }\\n const merged_geometry = mergeBufferGeometries(geometries);\\n const merged_core_geometry = new CoreGeometry(merged_geometry);\\n Object.keys(new_values_by_attribute_name).forEach((indexed_attribute_name) => {\\n const values = new_values_by_attribute_name[indexed_attribute_name];\\n merged_core_geometry.setIndexedAttributeValues(indexed_attribute_name, values);\\n });\\n if (merged_geometry) {\\n delete merged_geometry.userData.mergedUserData;\\n }\\n return merged_geometry;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/builders/Mesh.ts\\nvar CoreGeometryBuilderMesh = class extends CoreGeometryBuilderBase {\\n _filter_points(points2) {\\n const first_point = points2[0];\\n if (first_point) {\\n const geometry = first_point.geometry();\\n const indices = geometry.getIndex()?.array;\\n if (indices) {\\n const points_by_index = {};\\n for (let point of points2) {\\n points_by_index[point.index()] = point;\\n }\\n const filtered_points = [];\\n const index_length = indices.length;\\n let pt0;\\n let pt1;\\n let pt2;\\n for (let i = 0; i < index_length; i += 3) {\\n pt0 = points_by_index[indices[i + 0]];\\n pt1 = points_by_index[indices[i + 1]];\\n pt2 = points_by_index[indices[i + 2]];\\n if (pt0 && pt1 && pt2) {\\n filtered_points.push(pt0);\\n filtered_points.push(pt1);\\n filtered_points.push(pt2);\\n }\\n }\\n return filtered_points;\\n }\\n }\\n return [];\\n }\\n _indices_from_points(new_index_by_old_index, old_geometry) {\\n const index_attrib = old_geometry.index;\\n if (index_attrib != null) {\\n const old_indices = index_attrib.array;\\n const new_indices = [];\\n let old_index0;\\n let old_index1;\\n let old_index2;\\n let new_index0;\\n let new_index1;\\n let new_index2;\\n for (let i = 0; i < old_indices.length; i += 3) {\\n old_index0 = old_indices[i + 0];\\n old_index1 = old_indices[i + 1];\\n old_index2 = old_indices[i + 2];\\n new_index0 = new_index_by_old_index[old_index0];\\n new_index1 = new_index_by_old_index[old_index1];\\n new_index2 = new_index_by_old_index[old_index2];\\n if (new_index0 != null && new_index1 != null && new_index2 != null) {\\n new_indices.push(new_index0);\\n new_indices.push(new_index1);\\n new_indices.push(new_index2);\\n }\\n }\\n return new_indices;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/builders/LineSegments.ts\\nvar CoreGeometryBuilderLineSegments = class extends CoreGeometryBuilderBase {\\n _filter_points(points2) {\\n const first_point = points2[0];\\n if (first_point) {\\n const geometry = first_point.geometry();\\n const indices = geometry.getIndex()?.array;\\n if (indices) {\\n const points_by_index = {};\\n for (let point of points2) {\\n points_by_index[point.index()] = point;\\n }\\n const filtered_points = [];\\n const index_length = indices.length;\\n let pt0;\\n let pt1;\\n for (let i = 0; i < index_length; i += 2) {\\n pt0 = points_by_index[indices[i + 0]];\\n pt1 = points_by_index[indices[i + 1]];\\n if (pt0 && pt1) {\\n filtered_points.push(pt0);\\n filtered_points.push(pt1);\\n }\\n }\\n return filtered_points;\\n }\\n }\\n return [];\\n }\\n _indices_from_points(new_index_by_old_index, old_geometry) {\\n const index_attrib = old_geometry.index;\\n if (index_attrib != null) {\\n const old_indices = index_attrib.array;\\n const new_indices = [];\\n let old_index0;\\n let old_index1;\\n let new_index0;\\n let new_index1;\\n for (let i = 0; i < old_indices.length; i += 2) {\\n old_index0 = old_indices[i];\\n old_index1 = old_indices[i + 1];\\n new_index0 = new_index_by_old_index[old_index0];\\n new_index1 = new_index_by_old_index[old_index1];\\n if (new_index0 != null && new_index1 != null) {\\n new_indices.push(new_index0);\\n new_indices.push(new_index1);\\n }\\n }\\n return new_indices;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/ObjectUtils.ts\\nvar import_cloneDeep = __toModule(require_cloneDeep());\\nvar import_clone = __toModule(require_clone());\\nvar ObjectUtils = class {\\n static isEqual(object0, object1) {\\n if (CoreType.isObject(object0) && CoreType.isObject(object1)) {\\n const keys0 = Object.keys(object0);\\n const keys1 = Object.keys(object1);\\n if (!ArrayUtils.isEqual(keys0, keys1)) {\\n return false;\\n }\\n return JSON.stringify(object0) == JSON.stringify(object1);\\n }\\n return false;\\n }\\n static merge(object0, object1) {\\n return Object.assign(object0, object1);\\n }\\n static clone(value) {\\n return import_clone.default(value);\\n }\\n static cloneDeep(value) {\\n return import_cloneDeep.default(value);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/Geometry.ts\\nvar IS_INSTANCE_KEY = \\\\\\\"isInstance\\\\\\\";\\nvar INDEX_ATTRIB_VALUES = \\\\\\\"indexed_attrib_values\\\\\\\";\\nvar CoreGeometry2 = class {\\n constructor(_geometry) {\\n this._geometry = _geometry;\\n }\\n geometry() {\\n return this._geometry;\\n }\\n uuid() {\\n return this._geometry.uuid;\\n }\\n boundingBox() {\\n return this._bounding_box = this._bounding_box || this._create_bounding_box();\\n }\\n _create_bounding_box() {\\n this._geometry.computeBoundingBox();\\n if (this._geometry.boundingBox) {\\n return this._geometry.boundingBox;\\n }\\n }\\n markAsInstance() {\\n this._geometry.userData[IS_INSTANCE_KEY] = true;\\n }\\n static markedAsInstance(geometry) {\\n return geometry.userData[IS_INSTANCE_KEY] === true;\\n }\\n markedAsInstance() {\\n return CoreGeometry2.markedAsInstance(this._geometry);\\n }\\n positionAttribName() {\\n let name = \\\\\\\"position\\\\\\\";\\n if (this.markedAsInstance()) {\\n name = \\\\\\\"instancePosition\\\\\\\";\\n }\\n return name;\\n }\\n computeVertexNormals() {\\n this._geometry.computeVertexNormals();\\n }\\n userDataAttribs() {\\n return this._geometry.userData[INDEX_ATTRIB_VALUES] = this._geometry.userData[INDEX_ATTRIB_VALUES] || {};\\n }\\n indexedAttributeNames() {\\n return Object.keys(this.userDataAttribs() || {});\\n }\\n userDataAttrib(name) {\\n name = CoreAttribute.remapName(name);\\n return this.userDataAttribs()[name];\\n }\\n isAttribIndexed(name) {\\n name = CoreAttribute.remapName(name);\\n return this.userDataAttrib(name) != null;\\n }\\n hasAttrib(name) {\\n if (name === \\\\\\\"ptnum\\\\\\\") {\\n return true;\\n }\\n name = CoreAttribute.remapName(name);\\n return this._geometry.attributes[name] != null;\\n }\\n attribType(name) {\\n if (this.isAttribIndexed(name)) {\\n return AttribType.STRING;\\n } else {\\n return AttribType.NUMERIC;\\n }\\n }\\n static attribNames(geometry) {\\n return Object.keys(geometry.attributes);\\n }\\n attribNames() {\\n return CoreGeometry2.attribNames(this._geometry);\\n }\\n static attribNamesMatchingMask(geometry, masks_string) {\\n const masks = CoreString.attribNames(masks_string);\\n const matching_attrib_names = [];\\n for (let attrib_name of this.attribNames(geometry)) {\\n for (let mask of masks) {\\n if (CoreString.matchMask(attrib_name, mask)) {\\n matching_attrib_names.push(attrib_name);\\n }\\n }\\n }\\n return ArrayUtils.uniq(matching_attrib_names);\\n }\\n attribSizes() {\\n const h = {};\\n for (let attrib_name of this.attribNames()) {\\n h[attrib_name] = this._geometry.attributes[attrib_name].itemSize;\\n }\\n return h;\\n }\\n attribSize(name) {\\n let attrib;\\n name = CoreAttribute.remapName(name);\\n if ((attrib = this._geometry.attributes[name]) != null) {\\n return attrib.itemSize;\\n } else {\\n if (name === \\\\\\\"ptnum\\\\\\\") {\\n return 1;\\n } else {\\n return 0;\\n }\\n }\\n }\\n setIndexedAttributeValues(name, values) {\\n this.userDataAttribs()[name] = values;\\n }\\n setIndexedAttribute(name, values, indices) {\\n this.setIndexedAttributeValues(name, values);\\n this._geometry.setAttribute(name, new Int32BufferAttribute(indices, 1));\\n }\\n addNumericAttrib(name, size = 1, default_value = 0) {\\n const values = [];\\n let attribute_added = false;\\n if (CoreType.isNumber(default_value)) {\\n for (let i = 0; i < this.pointsCount(); i++) {\\n for (let j = 0; j < size; j++) {\\n values.push(default_value);\\n }\\n }\\n attribute_added = true;\\n } else {\\n if (size > 1) {\\n if (CoreType.isArray(default_value)) {\\n for (let i = 0; i < this.pointsCount(); i++) {\\n for (let j = 0; j < size; j++) {\\n values.push(default_value[j]);\\n }\\n }\\n attribute_added = true;\\n } else {\\n const vec2 = default_value;\\n if (size == 2 && vec2.x != null && vec2.y != null) {\\n for (let i = 0; i < this.pointsCount(); i++) {\\n values.push(vec2.x);\\n values.push(vec2.y);\\n }\\n attribute_added = true;\\n }\\n const vec3 = default_value;\\n if (size == 3 && vec3.x != null && vec3.y != null && vec3.z != null) {\\n for (let i = 0; i < this.pointsCount(); i++) {\\n values.push(vec3.x);\\n values.push(vec3.y);\\n values.push(vec3.z);\\n }\\n attribute_added = true;\\n }\\n const col = default_value;\\n if (size == 3 && col.r != null && col.g != null && col.b != null) {\\n for (let i = 0; i < this.pointsCount(); i++) {\\n values.push(col.r);\\n values.push(col.g);\\n values.push(col.b);\\n }\\n attribute_added = true;\\n }\\n const vec4 = default_value;\\n if (size == 4 && vec4.x != null && vec4.y != null && vec4.z != null && vec4.w != null) {\\n for (let i = 0; i < this.pointsCount(); i++) {\\n values.push(vec4.x);\\n values.push(vec4.y);\\n values.push(vec4.z);\\n values.push(vec4.w);\\n }\\n attribute_added = true;\\n }\\n }\\n }\\n }\\n if (attribute_added) {\\n this._geometry.setAttribute(name.trim(), new Float32BufferAttribute(values, size));\\n } else {\\n console.warn(default_value);\\n throw `CoreGeometry.add_numeric_attrib error: no other default value allowed for now in add_numeric_attrib (default given: ${default_value})`;\\n }\\n }\\n initPositionAttribute(points_count, default_value) {\\n const values = [];\\n if (default_value == null) {\\n default_value = new Vector3();\\n }\\n for (let i = 0; i < points_count; i++) {\\n values.push(default_value.x);\\n values.push(default_value.y);\\n values.push(default_value.z);\\n }\\n return this._geometry.setAttribute(\\\\\\\"position\\\\\\\", new Float32BufferAttribute(values, 3));\\n }\\n addAttribute(name, attrib_data) {\\n switch (attrib_data.type()) {\\n case AttribType.STRING:\\n return console.log(\\\\\\\"TODO: to implement\\\\\\\");\\n case AttribType.NUMERIC:\\n return this.addNumericAttrib(name, attrib_data.size());\\n }\\n }\\n renameAttrib(old_name, new_name) {\\n if (this.isAttribIndexed(old_name)) {\\n this.userDataAttribs()[new_name] = ObjectUtils.clone(this.userDataAttribs()[old_name]);\\n delete this.userDataAttribs()[old_name];\\n }\\n const old_attrib = this._geometry.getAttribute(old_name);\\n this._geometry.setAttribute(new_name.trim(), new Float32BufferAttribute(old_attrib.array, old_attrib.itemSize));\\n return this._geometry.deleteAttribute(old_name);\\n }\\n deleteAttribute(name) {\\n if (this.isAttribIndexed(name)) {\\n delete this.userDataAttribs()[name];\\n }\\n return this._geometry.deleteAttribute(name);\\n }\\n clone() {\\n return CoreGeometry2.clone(this._geometry);\\n }\\n static clone(src_geometry) {\\n let src_userData;\\n const new_geometry = src_geometry.clone();\\n if ((src_userData = src_geometry.userData) != null) {\\n new_geometry.userData = ObjectUtils.cloneDeep(src_userData);\\n }\\n return new_geometry;\\n }\\n pointsCount() {\\n return CoreGeometry2.pointsCount(this._geometry);\\n }\\n static pointsCount(geometry) {\\n let position;\\n let count = 0;\\n const core_geometry = new this(geometry);\\n let position_attrib_name = \\\\\\\"position\\\\\\\";\\n if (core_geometry.markedAsInstance()) {\\n position_attrib_name = \\\\\\\"instancePosition\\\\\\\";\\n }\\n if ((position = geometry.getAttribute(position_attrib_name)) != null) {\\n let array;\\n if ((array = position.array) != null) {\\n count = array.length / 3;\\n }\\n }\\n return count;\\n }\\n points() {\\n return this.pointsFromGeometry();\\n }\\n pointsFromGeometry() {\\n const points2 = [];\\n const positionAttrib = this._geometry.getAttribute(this.positionAttribName());\\n if (positionAttrib != null) {\\n const count = positionAttrib.array.length / 3;\\n for (let i = 0; i < count; i++) {\\n const point = new CorePoint(this, i);\\n points2.push(point);\\n }\\n }\\n return points2;\\n }\\n static geometryFromPoints(points2, object_type) {\\n switch (object_type) {\\n case ObjectType.MESH:\\n return this._mesh_builder.from_points(points2);\\n case ObjectType.POINTS:\\n return this._points_builder.from_points(points2);\\n case ObjectType.LINE_SEGMENTS:\\n return this._lines_segment_builder.from_points(points2);\\n case ObjectType.OBJECT3D:\\n return null;\\n case ObjectType.GROUP:\\n return null;\\n case ObjectType.LOD:\\n return null;\\n }\\n TypeAssert.unreachable(object_type);\\n }\\n static mergeGeometries(geometries) {\\n return CoreGeometryBuilderMerge.merge(geometries);\\n }\\n static merge_geometries(geometries) {\\n return CoreGeometryBuilderMerge.merge(geometries);\\n }\\n segments() {\\n const index = this.geometry().index?.array || [];\\n return ArrayUtils.chunk(index, 2);\\n }\\n faces() {\\n return this.facesFromGeometry();\\n }\\n facesFromGeometry() {\\n const index_array = this.geometry().index?.array || [];\\n const faces_count = index_array.length / 3;\\n return ArrayUtils.range(faces_count).map((i) => new CoreFace(this, i));\\n }\\n};\\nvar CoreGeometry = CoreGeometry2;\\nCoreGeometry._mesh_builder = new CoreGeometryBuilderMesh();\\nCoreGeometry._points_builder = new CoreGeometryBuilderPoints();\\nCoreGeometry._lines_segment_builder = new CoreGeometryBuilderLineSegments();\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/Material.ts\\nvar CustomMaterialName;\\n(function(CustomMaterialName2) {\\n CustomMaterialName2[\\\\\\\"customDistanceMaterial\\\\\\\"] = \\\\\\\"customDistanceMaterial\\\\\\\";\\n CustomMaterialName2[\\\\\\\"customDepthMaterial\\\\\\\"] = \\\\\\\"customDepthMaterial\\\\\\\";\\n CustomMaterialName2[\\\\\\\"customDepthDOFMaterial\\\\\\\"] = \\\\\\\"customDepthDOFMaterial\\\\\\\";\\n})(CustomMaterialName || (CustomMaterialName = {}));\\nvar RENDER_HOOK_USER_DATA_KEY = \\\\\\\"POLY_render_hook\\\\\\\";\\nvar EMPTY_RENDER_HOOK = (renderer, scene, camera, geometry, material, group) => {\\n};\\nvar CoreMaterial = class {\\n static node(scene, material) {\\n return scene.node(material.name);\\n }\\n static clone(src_material) {\\n const cloned_material = src_material.clone();\\n const src_uniforms = src_material.uniforms;\\n if (src_uniforms) {\\n cloned_material.uniforms = UniformsUtils.clone(src_uniforms);\\n }\\n return cloned_material;\\n }\\n static add_user_data_render_hook(material, render_hook) {\\n material.userData[RENDER_HOOK_USER_DATA_KEY] = render_hook;\\n }\\n static apply_render_hook(object, material) {\\n if (material.userData) {\\n const render_hook = material.userData[RENDER_HOOK_USER_DATA_KEY];\\n if (render_hook) {\\n object.onBeforeRender = (renderer, scene, camera, geometry, material2, group) => {\\n render_hook(renderer, scene, camera, geometry, material2, group, object);\\n };\\n return;\\n }\\n }\\n object.onBeforeRender = EMPTY_RENDER_HOOK;\\n }\\n static applyCustomMaterials(object, material) {\\n const material_with_custom = material;\\n if (material_with_custom.customMaterials) {\\n for (let name of Object.keys(material_with_custom.customMaterials)) {\\n const mat_name = name;\\n const custom_material = material_with_custom.customMaterials[mat_name];\\n if (custom_material) {\\n object[mat_name] = custom_material;\\n custom_material.needsUpdate = true;\\n }\\n }\\n }\\n }\\n static assign_custom_uniforms(mat, uniform_name, uniform_value) {\\n const material = mat;\\n if (material.customMaterials) {\\n for (let name of Object.keys(material.customMaterials)) {\\n const mat_name = name;\\n const custom_material = material.customMaterials[mat_name];\\n if (custom_material) {\\n custom_material.uniforms[uniform_name].value = uniform_value;\\n }\\n }\\n }\\n }\\n static init_custom_material_uniforms(mat, uniform_name, uniform_value) {\\n const material = mat;\\n if (material.customMaterials) {\\n for (let name of Object.keys(material.customMaterials)) {\\n const mat_name = name;\\n const custom_material = material.customMaterials[mat_name];\\n if (custom_material) {\\n custom_material.uniforms[uniform_name] = custom_material.uniforms[uniform_name] || uniform_value;\\n }\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/Object.ts\\nvar PTNUM2 = \\\\\\\"ptnum\\\\\\\";\\nvar NAME_ATTR = \\\\\\\"name\\\\\\\";\\nvar ATTRIBUTES = \\\\\\\"attributes\\\\\\\";\\nvar CoreObject = class extends CoreEntity {\\n constructor(_object, index) {\\n super(index);\\n this._object = _object;\\n if (this._object.userData[ATTRIBUTES] == null) {\\n this._object.userData[ATTRIBUTES] = {};\\n }\\n }\\n object() {\\n return this._object;\\n }\\n geometry() {\\n return this._object.geometry;\\n }\\n coreGeometry() {\\n const geo = this.geometry();\\n if (geo) {\\n return new CoreGeometry(geo);\\n } else {\\n return null;\\n }\\n }\\n points() {\\n return this.coreGeometry()?.points() || [];\\n }\\n pointsFromGroup(group) {\\n if (group) {\\n const indices = CoreString.indices(group);\\n if (indices) {\\n const points2 = this.points();\\n return indices.map((i) => points2[i]);\\n } else {\\n return [];\\n }\\n } else {\\n return this.points();\\n }\\n }\\n static isInGroup(groupString, object) {\\n const group = groupString.trim();\\n if (group.length == 0) {\\n return true;\\n }\\n const elements = group.split(\\\\\\\"=\\\\\\\");\\n const attribNameWithPrefix = elements[0];\\n if (attribNameWithPrefix[0] == \\\\\\\"@\\\\\\\") {\\n const attribName = attribNameWithPrefix.substr(1);\\n const expectedAttribValue = elements[1];\\n const currentAttribValue = this.attribValue(object, attribName);\\n return expectedAttribValue == currentAttribValue;\\n }\\n return false;\\n }\\n computeVertexNormals() {\\n this.coreGeometry()?.computeVertexNormals();\\n }\\n static _convert_array_to_vector(value) {\\n switch (value.length) {\\n case 1:\\n return value[0];\\n case 2:\\n return new Vector2(value[0], value[1]);\\n case 3:\\n return new Vector3(value[0], value[1], value[2]);\\n case 4:\\n return new Vector4(value[0], value[1], value[2], value[3]);\\n }\\n }\\n static addAttribute(object, attrib_name, value) {\\n if (CoreType.isArray(value)) {\\n const converted_value = this._convert_array_to_vector(value);\\n if (!converted_value) {\\n const message = `attribute_value invalid`;\\n console.error(message, value);\\n throw new Error(message);\\n }\\n }\\n const data = value;\\n const user_data = object.userData;\\n user_data[ATTRIBUTES] = user_data[ATTRIBUTES] || {};\\n user_data[ATTRIBUTES][attrib_name] = data;\\n }\\n addAttribute(name, value) {\\n CoreObject.addAttribute(this._object, name, value);\\n }\\n addNumericAttrib(name, value) {\\n this.addAttribute(name, value);\\n }\\n setAttribValue(name, value) {\\n this.addAttribute(name, value);\\n }\\n addNumericVertexAttrib(name, size, default_value) {\\n if (default_value == null) {\\n default_value = CoreAttribute.default_value(size);\\n }\\n this.coreGeometry()?.addNumericAttrib(name, size, default_value);\\n }\\n attributeNames() {\\n return Object.keys(this._object.userData[ATTRIBUTES]);\\n }\\n attribNames() {\\n return this.attributeNames();\\n }\\n hasAttrib(name) {\\n return this.attributeNames().includes(name);\\n }\\n renameAttrib(old_name, new_name) {\\n const current_value = this.attribValue(old_name);\\n if (current_value != null) {\\n this.addAttribute(new_name, current_value);\\n this.deleteAttribute(old_name);\\n } else {\\n console.warn(`attribute ${old_name} not found`);\\n }\\n }\\n deleteAttribute(name) {\\n delete this._object.userData[ATTRIBUTES][name];\\n }\\n static attribValue(object, name, index = 0, target) {\\n if (name === PTNUM2) {\\n return index;\\n }\\n if (object.userData && object.userData[ATTRIBUTES]) {\\n const val = object.userData[ATTRIBUTES][name];\\n if (val == null) {\\n if (name == NAME_ATTR) {\\n return object.name;\\n }\\n } else {\\n if (CoreType.isArray(val) && target) {\\n target.fromArray(val);\\n return target;\\n }\\n }\\n return val;\\n }\\n if (name == NAME_ATTR) {\\n return object.name;\\n }\\n }\\n static stringAttribValue(object, name, index = 0) {\\n const str = this.attribValue(object, name, index);\\n if (str != null) {\\n if (CoreType.isString(str)) {\\n return str;\\n } else {\\n return `${str}`;\\n }\\n }\\n }\\n attribValue(name, target) {\\n return CoreObject.attribValue(this._object, name, this._index, target);\\n }\\n stringAttribValue(name) {\\n return CoreObject.stringAttribValue(this._object, name, this._index);\\n }\\n name() {\\n return this.attribValue(NAME_ATTR);\\n }\\n humanType() {\\n return CoreConstant.CONSTRUCTOR_NAMES_BY_CONSTRUCTOR_NAME[this._object.constructor.name];\\n }\\n attribTypes() {\\n const h = {};\\n for (let attrib_name of this.attribNames()) {\\n const type = this.attribType(attrib_name);\\n if (type != null) {\\n h[attrib_name] = type;\\n }\\n }\\n return h;\\n }\\n attribType(name) {\\n const val = this.attribValue(name);\\n if (CoreType.isString(val)) {\\n return AttribType.STRING;\\n } else {\\n return AttribType.NUMERIC;\\n }\\n }\\n attribSizes() {\\n const h = {};\\n for (let attrib_name of this.attribNames()) {\\n const size = this.attribSize(attrib_name);\\n if (size != null) {\\n h[attrib_name] = size;\\n }\\n }\\n return h;\\n }\\n attribSize(name) {\\n const val = this.attribValue(name);\\n if (val == null) {\\n return null;\\n }\\n return CoreAttribute.attribSizeFromValue(val);\\n }\\n clone() {\\n return CoreObject.clone(this._object);\\n }\\n static clone(src_object) {\\n const new_object = src_object.clone();\\n var sourceLookup = new Map();\\n var cloneLookup = new Map();\\n CoreObject.parallelTraverse(src_object, new_object, function(sourceNode, clonedNode) {\\n sourceLookup.set(clonedNode, sourceNode);\\n cloneLookup.set(sourceNode, clonedNode);\\n });\\n new_object.traverse(function(node) {\\n const src_node = sourceLookup.get(node);\\n const mesh_node = node;\\n if (mesh_node.geometry) {\\n const src_node_geometry = src_node.geometry;\\n mesh_node.geometry = CoreGeometry.clone(src_node_geometry);\\n const mesh_node_geometry = mesh_node.geometry;\\n if (mesh_node_geometry.userData) {\\n mesh_node_geometry.userData = ObjectUtils.cloneDeep(src_node_geometry.userData);\\n }\\n }\\n if (mesh_node.material) {\\n mesh_node.material = src_node.material;\\n CoreMaterial.applyCustomMaterials(node, mesh_node.material);\\n const material_with_color = mesh_node.material;\\n if (material_with_color.color == null) {\\n material_with_color.color = new Color(1, 1, 1);\\n }\\n }\\n if (src_object.userData) {\\n node.userData = ObjectUtils.cloneDeep(src_node.userData);\\n }\\n const src_node_with_animations = src_node;\\n if (src_node_with_animations.animations) {\\n node.animations = src_node_with_animations.animations.map((animation) => animation.clone());\\n }\\n const skinned_node = node;\\n if (skinned_node.isSkinnedMesh) {\\n var clonedMesh = skinned_node;\\n var sourceMesh = src_node;\\n var sourceBones = sourceMesh.skeleton.bones;\\n clonedMesh.skeleton = sourceMesh.skeleton.clone();\\n clonedMesh.bindMatrix.copy(sourceMesh.bindMatrix);\\n const new_bones = sourceBones.map(function(bone) {\\n return cloneLookup.get(bone);\\n });\\n clonedMesh.skeleton.bones = new_bones;\\n clonedMesh.bind(clonedMesh.skeleton, clonedMesh.bindMatrix);\\n }\\n });\\n return new_object;\\n }\\n static parallelTraverse(a, b, callback) {\\n callback(a, b);\\n for (var i = 0; i < a.children.length; i++) {\\n this.parallelTraverse(a.children[i], b.children[i], callback);\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Geometry.ts\\nvar GeometryContainer = class extends TypedContainer {\\n coreContentCloned() {\\n if (this._content) {\\n return this._content.clone();\\n }\\n }\\n set_content(content) {\\n super.set_content(content);\\n }\\n firstObject() {\\n if (this._content) {\\n return this._content.objects()[0];\\n }\\n }\\n firstCoreObject() {\\n const object = this.firstObject();\\n if (object) {\\n return new CoreObject(object, 0);\\n }\\n }\\n firstGeometry() {\\n const object = this.firstObject();\\n if (object) {\\n return object.geometry;\\n } else {\\n return null;\\n }\\n }\\n objectsCount() {\\n if (this._content) {\\n return this._content.objects().length;\\n } else {\\n return 0;\\n }\\n }\\n objectsVisibleCount() {\\n let count = 0;\\n if (this._content) {\\n const objects = this._content.objects();\\n for (let object of objects) {\\n if (object.visible) {\\n count++;\\n }\\n }\\n }\\n return count;\\n }\\n objectsCountByType() {\\n const count_by_type = {};\\n const core_group = this._content;\\n if (this._content && core_group) {\\n for (let core_object of core_group.coreObjects()) {\\n const human_type = core_object.humanType();\\n if (count_by_type[human_type] == null) {\\n count_by_type[human_type] = 0;\\n }\\n count_by_type[human_type] += 1;\\n }\\n }\\n return count_by_type;\\n }\\n objectsNamesByType() {\\n const names_by_type = {};\\n const core_group = this._content;\\n if (this._content && core_group) {\\n for (let core_object of core_group.coreObjects()) {\\n const human_type = core_object.humanType();\\n names_by_type[human_type] = names_by_type[human_type] || [];\\n names_by_type[human_type].push(core_object.name());\\n }\\n }\\n return names_by_type;\\n }\\n pointAttributeNames() {\\n let names = [];\\n const geometry = this.firstGeometry();\\n if (geometry) {\\n names = Object.keys(geometry.attributes);\\n }\\n return names;\\n }\\n pointAttributeSizesByName() {\\n let sizes_by_name = {};\\n const geometry = this.firstGeometry();\\n if (geometry) {\\n Object.keys(geometry.attributes).forEach((attrib_name) => {\\n const attrib = geometry.attributes[attrib_name];\\n sizes_by_name[attrib_name] = attrib.itemSize;\\n });\\n }\\n return sizes_by_name;\\n }\\n objectAttributeSizesByName() {\\n let sizes_by_name = {};\\n const core_object = this.firstCoreObject();\\n if (core_object) {\\n const attribNames = core_object.attribNames();\\n for (let name of attribNames) {\\n const size = core_object.attribSize(name);\\n if (size != null) {\\n sizes_by_name[name] = size;\\n }\\n }\\n }\\n return sizes_by_name;\\n }\\n pointAttributeTypesByName() {\\n let types_by_name = {};\\n const geometry = this.firstGeometry();\\n if (geometry) {\\n const core_geo = new CoreGeometry(geometry);\\n Object.keys(geometry.attributes).forEach((attrib_name) => {\\n types_by_name[attrib_name] = core_geo.attribType(attrib_name);\\n });\\n }\\n return types_by_name;\\n }\\n objectAttributeTypesByName() {\\n let types_by_name = {};\\n const core_object = this.firstCoreObject();\\n if (core_object) {\\n for (let name of core_object.attribNames()) {\\n types_by_name[name] = core_object.attribType(name);\\n }\\n }\\n return types_by_name;\\n }\\n objectAttributeNames() {\\n let names = [];\\n const object = this.firstObject();\\n if (object) {\\n names = Object.keys(object.userData[\\\\\\\"attributes\\\\\\\"] || {});\\n }\\n return names;\\n }\\n pointsCount() {\\n if (this._content) {\\n return this._content.pointsCount();\\n } else {\\n return 0;\\n }\\n }\\n totalPointsCount() {\\n if (this._content) {\\n return this._content.totalPointsCount();\\n } else {\\n return 0;\\n }\\n }\\n objectsData() {\\n if (this._content) {\\n return this._content.objectsData();\\n } else {\\n return [];\\n }\\n }\\n boundingBox(forceUpdate = false) {\\n return this._content.boundingBox(forceUpdate);\\n }\\n center() {\\n return this._content.center();\\n }\\n size() {\\n return this._content.size();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Gl.ts\\nvar GlContainer = class extends TypedContainer {\\n object() {\\n return this._content;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Js.ts\\nvar JsContainer = class extends TypedContainer {\\n object() {\\n return this._content;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Manager.ts\\nvar ManagerContainer = class extends TypedContainer {\\n set_content(content) {\\n super.set_content(content);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Material.ts\\nvar MaterialContainer = class extends TypedContainer {\\n set_content(content) {\\n super.set_content(content);\\n }\\n set_material(material) {\\n if (this._content != null) {\\n this._content.dispose();\\n }\\n this.set_content(material);\\n }\\n has_material() {\\n return this.has_content();\\n }\\n material() {\\n return this.content();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Object.ts\\nvar ObjectContainer = class extends TypedContainer {\\n set_content(content) {\\n super.set_content(content);\\n }\\n set_object(object) {\\n return this.set_content(object);\\n }\\n has_object() {\\n return this.has_content();\\n }\\n object() {\\n return this.content();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Texture.ts\\nvar TextureContainer = class extends TypedContainer {\\n set_content(content) {\\n super.set_content(content);\\n }\\n texture() {\\n return this._content;\\n }\\n coreContent() {\\n return this._content;\\n }\\n coreContentCloned() {\\n const texture = this._content?.clone();\\n if (texture) {\\n texture.needsUpdate = true;\\n }\\n return texture;\\n }\\n object() {\\n return this.texture();\\n }\\n infos() {\\n if (this._content != null) {\\n return [this._content];\\n }\\n }\\n resolution() {\\n if (this._content) {\\n const image = this._content.image;\\n if (image) {\\n if (image instanceof HTMLImageElement || image instanceof Image || image instanceof ImageData || image instanceof HTMLCanvasElement) {\\n return [image.width, image.height];\\n }\\n if (image.data && image.width != null && image.height != null) {\\n return [image.width, image.height];\\n }\\n const video = image;\\n return [video.videoWidth, video.videoHeight];\\n }\\n }\\n return [-1, -1];\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/PostProcess.ts\\nvar PostProcessContainer = class extends TypedContainer {\\n set_content(content) {\\n super.set_content(content);\\n }\\n render_pass() {\\n return this._content;\\n }\\n object(options = {}) {\\n return this.render_pass();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/Rop.ts\\nvar RopContainer = class extends TypedContainer {\\n set_content(content) {\\n super.set_content(content);\\n }\\n renderer() {\\n return this._content;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/containers/utils/ContainerMap.ts\\nvar ContainerClassMap = {\\n [NodeContext.ANIM]: AnimationContainer,\\n [NodeContext.COP]: TextureContainer,\\n [NodeContext.EVENT]: EventContainer,\\n [NodeContext.GL]: GlContainer,\\n [NodeContext.JS]: JsContainer,\\n [NodeContext.MANAGER]: ManagerContainer,\\n [NodeContext.MAT]: MaterialContainer,\\n [NodeContext.OBJ]: ObjectContainer,\\n [NodeContext.POST]: PostProcessContainer,\\n [NodeContext.ROP]: RopContainer,\\n [NodeContext.SOP]: GeometryContainer\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/ContainerController.ts\\nvar TypedContainerController = class {\\n constructor(node) {\\n this.node = node;\\n this._callbacks = [];\\n this._callbacks_tmp = [];\\n const container_class = ContainerClassMap[node.context()];\\n this._container = new container_class(this.node);\\n }\\n container() {\\n return this._container;\\n }\\n async compute() {\\n if (this.node.flags?.bypass?.active()) {\\n const container = await this.requestInputContainer(0) || this._container;\\n this.node.cookController.endCook();\\n return container;\\n }\\n if (this.node.isDirty()) {\\n return new Promise((resolve, reject) => {\\n this._callbacks.push(resolve);\\n this.node.cookController.cookMain();\\n });\\n }\\n return this._container;\\n }\\n async requestInputContainer(input_index) {\\n const inputNode = this.node.io.inputs.input(input_index);\\n if (inputNode) {\\n return await inputNode.compute();\\n } else {\\n this.node.states.error.set(`input ${input_index} required`);\\n this.notifyRequesters();\\n return null;\\n }\\n }\\n notifyRequesters(container) {\\n this._callbacks_tmp = this._callbacks.slice();\\n this._callbacks.splice(0, this._callbacks.length);\\n if (!container) {\\n container = this.node.containerController.container();\\n }\\n let callback;\\n while (callback = this._callbacks_tmp.pop()) {\\n callback(container);\\n }\\n this.node.scene().cookController.removeNode(this.node);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/cook/PerformanceController.ts\\nvar performance = Poly.performance.performanceManager();\\nvar NodeCookPerformanceformanceController = class {\\n constructor(cookController) {\\n this.cookController = cookController;\\n this._inputs_start = 0;\\n this._params_start = 0;\\n this._cook_start = 0;\\n this._cooksCount = 0;\\n this._data = {\\n inputsTime: 0,\\n paramsTime: 0,\\n cookTime: 0\\n };\\n }\\n cooksCount() {\\n return this._cooksCount;\\n }\\n data2() {\\n return this._data;\\n }\\n active() {\\n return this.cookController.performanceRecordStarted();\\n }\\n recordInputsStart() {\\n if (this.active()) {\\n this._inputs_start = performance.now();\\n }\\n }\\n recordInputsEnd() {\\n if (this.active()) {\\n this._data.inputsTime = performance.now() - this._inputs_start;\\n }\\n }\\n recordParamsStart() {\\n if (this.active()) {\\n this._params_start = performance.now();\\n }\\n }\\n recordParamsEnd() {\\n if (this.active()) {\\n this._data.paramsTime = performance.now() - this._params_start;\\n }\\n }\\n recordCookStart() {\\n if (this.active()) {\\n this._cook_start = performance.now();\\n }\\n }\\n recordCookEnd() {\\n if (this.active()) {\\n this._data.cookTime = performance.now() - this._cook_start;\\n this._cooksCount += 1;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/CookController.ts\\nvar NodeCookController = class {\\n constructor(node) {\\n this.node = node;\\n this._cooking = false;\\n this._performanceController = new NodeCookPerformanceformanceController(this);\\n this._inputs_evaluation_required = true;\\n this._core_performance = this.node.scene().performance;\\n }\\n performanceRecordStarted() {\\n return this._core_performance.started();\\n }\\n disallowInputsEvaluation() {\\n this._inputs_evaluation_required = false;\\n }\\n isCooking() {\\n return this._cooking === true;\\n }\\n _start_cook_if_no_errors(input_contents) {\\n if (this.node.states.error.active()) {\\n this.endCook();\\n } else {\\n try {\\n this._performanceController.recordCookStart();\\n this.node.cook(input_contents);\\n } catch (e) {\\n this.node.states.error.set(`node internal error: '${e}'.`);\\n Poly.warn(e);\\n this.endCook();\\n }\\n }\\n }\\n async cookMain() {\\n if (this.isCooking()) {\\n return;\\n }\\n this._initCookingState();\\n this.node.states.error.clear();\\n this.node.scene().cookController.addNode(this.node);\\n let input_contents;\\n if (this._inputs_evaluation_required) {\\n input_contents = await this._evaluateInputs();\\n } else {\\n input_contents = [];\\n }\\n if (this.node.params.paramsEvalRequired()) {\\n await this._evaluateParams();\\n }\\n this._start_cook_if_no_errors(input_contents);\\n }\\n async cookMainWithoutInputs() {\\n this.node.scene().cookController.addNode(this.node);\\n if (this.isCooking()) {\\n Poly.warn(\\\\\\\"cook_main_without_inputs already cooking\\\\\\\", this.node.path());\\n return;\\n }\\n this._initCookingState();\\n this.node.states.error.clear();\\n if (this.node.params.paramsEvalRequired()) {\\n await this._evaluateParams();\\n }\\n this._start_cook_if_no_errors([]);\\n }\\n endCook(message) {\\n this._finalizeCookPerformance();\\n const dirty_timestamp = this.node.dirtyController.dirtyTimestamp();\\n if (dirty_timestamp == null || dirty_timestamp === this._cooking_dirty_timestamp) {\\n this.node.removeDirtyState();\\n this._terminateCookProcess();\\n } else {\\n Poly.log(\\\\\\\"COOK AGAIN\\\\\\\", dirty_timestamp, this._cooking_dirty_timestamp, this.node.path());\\n this._cooking = false;\\n this.cookMain();\\n }\\n }\\n _initCookingState() {\\n this._cooking = true;\\n this._cooking_dirty_timestamp = this.node.dirtyController.dirtyTimestamp();\\n }\\n _terminateCookProcess() {\\n if (this.isCooking()) {\\n this._cooking = false;\\n this.node.containerController.notifyRequesters();\\n this._run_on_cook_complete_hooks();\\n }\\n }\\n async _evaluateInputs() {\\n this._performanceController.recordInputsStart();\\n let input_containers = [];\\n const io_inputs = this.node.io.inputs;\\n if (this._inputs_evaluation_required) {\\n if (io_inputs.is_any_input_dirty()) {\\n input_containers = await io_inputs.eval_required_inputs();\\n } else {\\n input_containers = await io_inputs.containers_without_evaluation();\\n }\\n }\\n const inputs = io_inputs.inputs();\\n const input_contents = [];\\n let input_container;\\n for (let i = 0; i < inputs.length; i++) {\\n input_container = input_containers[i];\\n if (input_container) {\\n if (io_inputs.cloneRequired(i)) {\\n input_contents[i] = input_container.coreContentCloned();\\n } else {\\n input_contents[i] = input_container.coreContent();\\n }\\n }\\n }\\n this._performanceController.recordInputsEnd();\\n return input_contents;\\n }\\n async _evaluateParams() {\\n this._performanceController.recordParamsStart();\\n await this.node.params.evalAll();\\n this._performanceController.recordParamsEnd();\\n }\\n cooksCount() {\\n return this._performanceController.cooksCount();\\n }\\n cookTime() {\\n return this._performanceController.data2().cookTime;\\n }\\n _finalizeCookPerformance() {\\n if (!this._core_performance.started()) {\\n return;\\n }\\n this._performanceController.recordCookEnd();\\n this._core_performance.record_node_cook_data(this.node, this._performanceController.data2());\\n }\\n registerOnCookEnd(callbackName, callback) {\\n this._on_cook_complete_hook_names = this._on_cook_complete_hook_names || [];\\n this._on_cook_complete_hooks = this._on_cook_complete_hooks || [];\\n this._on_cook_complete_hook_names.push(callbackName);\\n this._on_cook_complete_hooks.push(callback);\\n }\\n deregisterOnCookEnd(callbackName) {\\n if (!this._on_cook_complete_hook_names || !this._on_cook_complete_hooks) {\\n return;\\n }\\n const index = this._on_cook_complete_hook_names?.indexOf(callbackName);\\n this._on_cook_complete_hook_names.splice(index, 1);\\n this._on_cook_complete_hooks.splice(index, 1);\\n }\\n _run_on_cook_complete_hooks() {\\n if (this._on_cook_complete_hooks) {\\n for (let hook of this._on_cook_complete_hooks) {\\n hook();\\n }\\n }\\n }\\n onCookEndCallbackNames() {\\n return this._on_cook_complete_hook_names;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/Serializer.ts\\nvar NodeSerializer = class {\\n constructor(node) {\\n this.node = node;\\n }\\n toJSON(include_param_components = false) {\\n const data = {\\n name: this.node.name(),\\n type: this.node.type(),\\n graph_node_id: this.node.graphNodeId(),\\n is_dirty: this.node.isDirty(),\\n ui_data_json: this.node.uiData.toJSON(),\\n error_message: this.node.states.error.message(),\\n children: this.childrenIds(),\\n maxInputsCount: this.maxInputsCount(),\\n inputs: this.inputIds(),\\n input_connection_output_indices: this.inputConnectionOutputIndices(),\\n named_input_connection_points: this.namedInputConnectionPoints(),\\n named_output_connection_points: this.namedOutputConnectionPoints(),\\n param_ids: this.to_json_params(include_param_components),\\n override_cloned_state_allowed: this.node.io.inputs.overrideClonedStateAllowed(),\\n inputs_clone_required_states: this.node.io.inputs.cloneRequiredStates(),\\n flags: {\\n display: this.node.flags?.display?.active(),\\n bypass: this.node.flags?.bypass?.active(),\\n optimize: this.node.flags?.optimize?.active()\\n },\\n selection: void 0\\n };\\n if (this.node.childrenAllowed() && this.node.childrenController) {\\n data[\\\\\\\"selection\\\\\\\"] = this.node.childrenController.selection.toJSON();\\n }\\n return data;\\n }\\n childrenIds() {\\n return this.node.children().map((node) => node.graphNodeId());\\n }\\n maxInputsCount() {\\n return this.node.io.inputs.maxInputsCount();\\n }\\n inputIds() {\\n return this.node.io.inputs.inputs().map((node) => node != null ? node.graphNodeId() : void 0);\\n }\\n inputConnectionOutputIndices() {\\n return this.node.io.connections.inputConnections()?.map((connection) => connection != null ? connection.output_index : void 0);\\n }\\n namedInputConnectionPoints() {\\n return this.node.io.inputs.namedInputConnectionPoints().map((i) => i.toJSON());\\n }\\n namedOutputConnectionPoints() {\\n return this.node.io.outputs.namedOutputConnectionPoints().map((o) => o.toJSON());\\n }\\n to_json_params_from_names(param_names, include_components = false) {\\n return param_names.map((param_name) => {\\n return this.node.params.get(param_name).graphNodeId();\\n });\\n }\\n to_json_params(include_components = false) {\\n return this.to_json_params_from_names(this.node.params.names, include_components);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/ParamType.ts\\nvar ParamType;\\n(function(ParamType2) {\\n ParamType2[\\\\\\\"BOOLEAN\\\\\\\"] = \\\\\\\"boolean\\\\\\\";\\n ParamType2[\\\\\\\"BUTTON\\\\\\\"] = \\\\\\\"button\\\\\\\";\\n ParamType2[\\\\\\\"COLOR\\\\\\\"] = \\\\\\\"color\\\\\\\";\\n ParamType2[\\\\\\\"FLOAT\\\\\\\"] = \\\\\\\"float\\\\\\\";\\n ParamType2[\\\\\\\"FOLDER\\\\\\\"] = \\\\\\\"folder\\\\\\\";\\n ParamType2[\\\\\\\"INTEGER\\\\\\\"] = \\\\\\\"integer\\\\\\\";\\n ParamType2[\\\\\\\"OPERATOR_PATH\\\\\\\"] = \\\\\\\"operator_path\\\\\\\";\\n ParamType2[\\\\\\\"PARAM_PATH\\\\\\\"] = \\\\\\\"param_path\\\\\\\";\\n ParamType2[\\\\\\\"NODE_PATH\\\\\\\"] = \\\\\\\"node_path\\\\\\\";\\n ParamType2[\\\\\\\"RAMP\\\\\\\"] = \\\\\\\"ramp\\\\\\\";\\n ParamType2[\\\\\\\"STRING\\\\\\\"] = \\\\\\\"string\\\\\\\";\\n ParamType2[\\\\\\\"VECTOR2\\\\\\\"] = \\\\\\\"vector2\\\\\\\";\\n ParamType2[\\\\\\\"VECTOR3\\\\\\\"] = \\\\\\\"vector3\\\\\\\";\\n ParamType2[\\\\\\\"VECTOR4\\\\\\\"] = \\\\\\\"vector4\\\\\\\";\\n})(ParamType || (ParamType = {}));\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/ParamEvent.ts\\nvar ParamEvent;\\n(function(ParamEvent2) {\\n ParamEvent2[\\\\\\\"VISIBLE_UPDATED\\\\\\\"] = \\\\\\\"param_visible_updated\\\\\\\";\\n ParamEvent2[\\\\\\\"RAW_INPUT_UPDATED\\\\\\\"] = \\\\\\\"raw_input_updated\\\\\\\";\\n ParamEvent2[\\\\\\\"VALUE_UPDATED\\\\\\\"] = \\\\\\\"param_value_updated\\\\\\\";\\n ParamEvent2[\\\\\\\"EXPRESSION_UPDATED\\\\\\\"] = \\\\\\\"param_expression_update\\\\\\\";\\n ParamEvent2[\\\\\\\"ERROR_UPDATED\\\\\\\"] = \\\\\\\"param_error_updated\\\\\\\";\\n ParamEvent2[\\\\\\\"DELETED\\\\\\\"] = \\\\\\\"param_deleted\\\\\\\";\\n})(ParamEvent || (ParamEvent = {}));\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/utils/OptionsController.ts\\nvar CALLBACK_OPTION = \\\\\\\"callback\\\\\\\";\\nvar CALLBACK_STRING_OPTION = \\\\\\\"callbackString\\\\\\\";\\nvar COMPUTE_ON_DIRTY = \\\\\\\"computeOnDirty\\\\\\\";\\nvar COOK_OPTION = \\\\\\\"cook\\\\\\\";\\nvar FILE_BROWSE_OPTION = \\\\\\\"fileBrowse\\\\\\\";\\nvar FILE_TYPE_OPTION = \\\\\\\"type\\\\\\\";\\nvar EXPRESSION = \\\\\\\"expression\\\\\\\";\\nvar FOR_ENTITIES = \\\\\\\"forEntities\\\\\\\";\\nvar LABEL = \\\\\\\"label\\\\\\\";\\nvar LEVEL = \\\\\\\"level\\\\\\\";\\nvar MENU = \\\\\\\"menu\\\\\\\";\\nvar MENU_STRING = \\\\\\\"menuString\\\\\\\";\\nvar ENTRIES = \\\\\\\"entries\\\\\\\";\\nvar MULTILINE_OPTION = \\\\\\\"multiline\\\\\\\";\\nvar LANGUAGE_OPTION = \\\\\\\"language\\\\\\\";\\nvar NODE_SELECTION = \\\\\\\"nodeSelection\\\\\\\";\\nvar NODE_SELECTION_CONTEXT = \\\\\\\"context\\\\\\\";\\nvar NODE_SELECTION_TYPES = \\\\\\\"types\\\\\\\";\\nvar PARAM_SELECTION = \\\\\\\"paramSelection\\\\\\\";\\nvar DEPENDENT_ON_FOUND_NODE = \\\\\\\"dependentOnFoundNode\\\\\\\";\\nvar RANGE_OPTION = \\\\\\\"range\\\\\\\";\\nvar RANGE_LOCKED_OPTION = \\\\\\\"rangeLocked\\\\\\\";\\nvar STEP_OPTION = \\\\\\\"step\\\\\\\";\\nvar SPARE_OPTION = \\\\\\\"spare\\\\\\\";\\nvar TEXTURE_OPTION = \\\\\\\"texture\\\\\\\";\\nvar ENV_OPTION = \\\\\\\"env\\\\\\\";\\nvar HIDDEN_OPTION = \\\\\\\"hidden\\\\\\\";\\nvar FIELD_OPTION = \\\\\\\"field\\\\\\\";\\nvar VISIBLE_IF_OPTION = \\\\\\\"visibleIf\\\\\\\";\\nvar COLOR_CONVERSION = \\\\\\\"conversion\\\\\\\";\\nvar SEPARATOR_BEFORE_OPTION = \\\\\\\"separatorBefore\\\\\\\";\\nvar SEPARATOR_AFTER_OPTION = \\\\\\\"separatorAfter\\\\\\\";\\nvar StringParamLanguage;\\n(function(StringParamLanguage2) {\\n StringParamLanguage2[\\\\\\\"TYPESCRIPT\\\\\\\"] = \\\\\\\"typescript\\\\\\\";\\n})(StringParamLanguage || (StringParamLanguage = {}));\\nvar FileType;\\n(function(FileType2) {\\n FileType2[\\\\\\\"AUDIO\\\\\\\"] = \\\\\\\"audio\\\\\\\";\\n FileType2[\\\\\\\"TEXTURE_IMAGE\\\\\\\"] = \\\\\\\"texture_image\\\\\\\";\\n FileType2[\\\\\\\"TEXTURE_VIDEO\\\\\\\"] = \\\\\\\"texture_video\\\\\\\";\\n FileType2[\\\\\\\"GEOMETRY\\\\\\\"] = \\\\\\\"geometry\\\\\\\";\\n FileType2[\\\\\\\"FONT\\\\\\\"] = \\\\\\\"font\\\\\\\";\\n FileType2[\\\\\\\"SVG\\\\\\\"] = \\\\\\\"svg\\\\\\\";\\n FileType2[\\\\\\\"JSON\\\\\\\"] = \\\\\\\"json\\\\\\\";\\n})(FileType || (FileType = {}));\\nvar OptionsController = class {\\n constructor(_param) {\\n this._param = _param;\\n this._programatic_visible_state = true;\\n this._callbackAllowed = false;\\n this._updateVisibilityAndRemoveDirtyBound = this.updateVisibilityAndRemoveDirty.bind(this);\\n this._ui_data_dependency_set = false;\\n }\\n dispose() {\\n try {\\n this._options[CALLBACK_OPTION] = void 0;\\n this._options[CALLBACK_STRING_OPTION] = void 0;\\n } catch (err) {\\n }\\n this._visibility_graph_node?.dispose();\\n }\\n set(options) {\\n this._default_options = options;\\n this._options = ObjectUtils.cloneDeep(this._default_options);\\n this.post_set_options();\\n }\\n copy(options_controller) {\\n this._default_options = ObjectUtils.cloneDeep(options_controller.default());\\n this._options = ObjectUtils.cloneDeep(options_controller.current());\\n this.post_set_options();\\n }\\n setOption(name, value) {\\n this._options[name] = value;\\n if (this._param.components) {\\n for (let component of this._param.components) {\\n component.options.setOption(name, value);\\n }\\n }\\n }\\n post_set_options() {\\n this._handleComputeOnDirty();\\n }\\n param() {\\n return this._param;\\n }\\n node() {\\n return this._param.node;\\n }\\n default() {\\n return this._default_options;\\n }\\n current() {\\n return this._options;\\n }\\n hasOptionsOverridden() {\\n return !ObjectUtils.isEqual(this._options, this._default_options);\\n }\\n overriddenOptions() {\\n const overriden = {};\\n const option_names = Object.keys(this._options);\\n for (let option_name of option_names) {\\n if (!ObjectUtils.isEqual(this._options[option_name], this._default_options[option_name])) {\\n const cloned_option = ObjectUtils.cloneDeep(this._options[option_name]);\\n Object.assign(overriden, {[option_name]: cloned_option});\\n }\\n }\\n return overriden;\\n }\\n overriddenOptionNames() {\\n return Object.keys(this.overriddenOptions());\\n }\\n computeOnDirty() {\\n return this._options[COMPUTE_ON_DIRTY] || false;\\n }\\n _handleComputeOnDirty() {\\n if (this.computeOnDirty()) {\\n if (!this._computeOnDirty_callback_added) {\\n this.param().addPostDirtyHook(\\\\\\\"computeOnDirty\\\\\\\", this._computeParam.bind(this));\\n this._computeOnDirty_callback_added = true;\\n }\\n }\\n }\\n async _computeParam() {\\n await this.param().compute();\\n }\\n hasCallback() {\\n return this._options[CALLBACK_OPTION] != null || this._options[CALLBACK_STRING_OPTION] != null;\\n }\\n allowCallback() {\\n this._callbackAllowed = true;\\n }\\n executeCallback() {\\n if (!this._callbackAllowed) {\\n return;\\n }\\n if (!this.node()) {\\n return;\\n }\\n const callback = this.getCallback();\\n if (!callback) {\\n return;\\n }\\n if (!this.node().scene().loadingController.loaded()) {\\n return;\\n }\\n const parent_param = this.param().parent_param;\\n if (parent_param) {\\n parent_param.options.executeCallback();\\n } else {\\n callback(this.node(), this.param());\\n }\\n }\\n getCallback() {\\n if (this.hasCallback()) {\\n return this._options[CALLBACK_OPTION] = this._options[CALLBACK_OPTION] || this.createCallbackFromString();\\n }\\n }\\n createCallbackFromString() {\\n const callbackString = this._options[CALLBACK_STRING_OPTION];\\n if (callbackString) {\\n const callback_function = new Function(\\\\\\\"node\\\\\\\", \\\\\\\"scene\\\\\\\", \\\\\\\"window\\\\\\\", \\\\\\\"location\\\\\\\", callbackString);\\n return () => {\\n callback_function(this.node(), this.node().scene(), null, null);\\n };\\n }\\n }\\n colorConversion() {\\n return this._options[COLOR_CONVERSION];\\n }\\n makesNodeDirtyWhenDirty() {\\n let cook_options;\\n if (this.param().parent_param != null) {\\n return false;\\n }\\n let value = true;\\n if ((cook_options = this._options[COOK_OPTION]) != null) {\\n value = cook_options;\\n }\\n return value;\\n }\\n fileBrowseOption() {\\n return this._options[FILE_BROWSE_OPTION];\\n }\\n fileBrowseAllowed() {\\n return this.fileBrowseOption() != null;\\n }\\n fileBrowseType() {\\n const option = this.fileBrowseOption();\\n if (option) {\\n return option[FILE_TYPE_OPTION];\\n } else {\\n return null;\\n }\\n }\\n separatorBefore() {\\n return this._options[SEPARATOR_BEFORE_OPTION];\\n }\\n separatorAfter() {\\n return this._options[SEPARATOR_AFTER_OPTION];\\n }\\n isExpressionForEntities() {\\n const expr_option = this._options[EXPRESSION];\\n if (expr_option) {\\n return expr_option[FOR_ENTITIES] || false;\\n }\\n return false;\\n }\\n level() {\\n return this._options[LEVEL] || 0;\\n }\\n hasMenu() {\\n return this.menuOptions() != null || this.menuStringOptions() != null;\\n }\\n menuOptions() {\\n return this._options[MENU];\\n }\\n menuStringOptions() {\\n return this._options[MENU_STRING];\\n }\\n menuEntries() {\\n const options = this.menuOptions() || this.menuStringOptions();\\n if (options) {\\n return options[ENTRIES];\\n } else {\\n return [];\\n }\\n }\\n isMultiline() {\\n return this._options[MULTILINE_OPTION] === true;\\n }\\n language() {\\n return this._options[LANGUAGE_OPTION];\\n }\\n isCode() {\\n return this.language() != null;\\n }\\n nodeSelectionOptions() {\\n return this._options[NODE_SELECTION];\\n }\\n nodeSelectionContext() {\\n const options = this.nodeSelectionOptions();\\n if (options) {\\n return options[NODE_SELECTION_CONTEXT];\\n }\\n }\\n nodeSelectionTypes() {\\n const options = this.nodeSelectionOptions();\\n if (options) {\\n return options[NODE_SELECTION_TYPES];\\n }\\n }\\n dependentOnFoundNode() {\\n if (DEPENDENT_ON_FOUND_NODE in this._options) {\\n return this._options[DEPENDENT_ON_FOUND_NODE];\\n } else {\\n return true;\\n }\\n }\\n isSelectingParam() {\\n return this.paramSelectionOptions() != null;\\n }\\n paramSelectionOptions() {\\n return this._options[PARAM_SELECTION];\\n }\\n paramSelectionType() {\\n const options = this.paramSelectionOptions();\\n if (options) {\\n const type_or_boolean = options;\\n if (!CoreType.isBoolean(type_or_boolean)) {\\n return type_or_boolean;\\n }\\n }\\n }\\n range() {\\n return this._options[RANGE_OPTION] || [0, 1];\\n }\\n step() {\\n return this._options[STEP_OPTION];\\n }\\n rangeLocked() {\\n return this._options[RANGE_LOCKED_OPTION] || [false, false];\\n }\\n ensureInRange(value) {\\n const range = this.range();\\n if (value >= range[0] && value <= range[1]) {\\n return value;\\n } else {\\n if (value < range[0]) {\\n return this.rangeLocked()[0] === true ? range[0] : value;\\n } else {\\n return this.rangeLocked()[1] === true ? range[1] : value;\\n }\\n }\\n }\\n isSpare() {\\n return this._options[SPARE_OPTION] || false;\\n }\\n textureOptions() {\\n return this._options[TEXTURE_OPTION];\\n }\\n textureAsEnv() {\\n const texture_options = this.textureOptions();\\n if (texture_options != null) {\\n return texture_options[ENV_OPTION] === true;\\n }\\n return false;\\n }\\n isHidden() {\\n return this._options[HIDDEN_OPTION] === true || this._programatic_visible_state === false;\\n }\\n isVisible() {\\n return !this.isHidden();\\n }\\n setVisibleState(state) {\\n this._options[HIDDEN_OPTION] = !state;\\n this.param().emit(ParamEvent.VISIBLE_UPDATED);\\n }\\n label() {\\n return this._options[LABEL];\\n }\\n isLabelHidden() {\\n const type = this.param().type();\\n return type === ParamType.BUTTON || type === ParamType.BOOLEAN && this.isFieldHidden();\\n }\\n isFieldHidden() {\\n return this._options[FIELD_OPTION] === false;\\n }\\n uiDataDependsOnOtherParams() {\\n return VISIBLE_IF_OPTION in this._options;\\n }\\n visibilityPredecessors() {\\n const visibility_options = this._options[VISIBLE_IF_OPTION];\\n if (!visibility_options) {\\n return [];\\n }\\n let predecessor_names = [];\\n if (CoreType.isArray(visibility_options)) {\\n predecessor_names = ArrayUtils.uniq(visibility_options.map((options) => Object.keys(options)).flat());\\n } else {\\n predecessor_names = Object.keys(visibility_options);\\n }\\n const node = this.param().node;\\n return ArrayUtils.compact(predecessor_names.map((name) => {\\n const param = node.params.get(name);\\n if (param) {\\n return param;\\n } else {\\n console.error(`param ${name} not found as visibility condition for ${this.param().name()} in node ${this.param().node.type()}`);\\n }\\n }));\\n }\\n setUiDataDependency() {\\n if (this._ui_data_dependency_set) {\\n return;\\n }\\n this._ui_data_dependency_set = true;\\n const predecessors = this.visibilityPredecessors();\\n if (predecessors.length > 0) {\\n this._visibility_graph_node = new CoreGraphNode(this.param().scene(), \\\\\\\"param_visibility\\\\\\\");\\n for (let predecessor of predecessors) {\\n this._visibility_graph_node.addGraphInput(predecessor);\\n }\\n this._visibility_graph_node.addPostDirtyHook(\\\\\\\"_update_visibility_and_remove_dirty\\\\\\\", this._updateVisibilityAndRemoveDirtyBound);\\n }\\n }\\n updateVisibilityAndRemoveDirty() {\\n this.updateVisibility();\\n this.param().removeDirtyState();\\n }\\n async updateVisibility() {\\n const options = this._options[VISIBLE_IF_OPTION];\\n if (options) {\\n const params = this.visibilityPredecessors();\\n const promises = params.map((p) => {\\n if (p.isDirty()) {\\n return p.compute();\\n }\\n });\\n this._programatic_visible_state = false;\\n await Promise.all(promises);\\n if (CoreType.isArray(options)) {\\n for (let options_set of options) {\\n const satisfied_values = params.filter((param) => param.value == options_set[param.name()]);\\n if (satisfied_values.length == params.length) {\\n this._programatic_visible_state = true;\\n }\\n }\\n } else {\\n const satisfied_values = params.filter((param) => param.value == options[param.name()]);\\n this._programatic_visible_state = satisfied_values.length == params.length;\\n }\\n this.param().emit(ParamEvent.VISIBLE_UPDATED);\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/utils/EmitController.ts\\nvar EmitController = class {\\n constructor(param) {\\n this.param = param;\\n this._blocked_emit = false;\\n this._blocked_parent_emit = false;\\n this._count_by_event_name = {};\\n }\\n emitAllowed() {\\n if (this._blocked_emit === true) {\\n return false;\\n }\\n if (this.param.scene().loadingController.isLoading()) {\\n return false;\\n }\\n return this.param.scene().dispatchController.emitAllowed();\\n }\\n blockEmit() {\\n this._blocked_emit = true;\\n if (this.param.isMultiple() && this.param.components) {\\n for (let component of this.param.components) {\\n component.emitController.blockEmit();\\n }\\n }\\n return true;\\n }\\n unblockEmit() {\\n this._blocked_emit = false;\\n if (this.param.isMultiple() && this.param.components) {\\n for (let component of this.param.components) {\\n component.emitController.unblockEmit();\\n }\\n }\\n return true;\\n }\\n blockParentEmit() {\\n this._blocked_parent_emit = true;\\n return true;\\n }\\n unblockParentEmit() {\\n this._blocked_parent_emit = false;\\n return true;\\n }\\n incrementCount(event_name) {\\n this._count_by_event_name[event_name] = this._count_by_event_name[event_name] || 0;\\n this._count_by_event_name[event_name] += 1;\\n }\\n eventsCount(event_name) {\\n return this._count_by_event_name[event_name] || 0;\\n }\\n emit(event) {\\n if (this.emitAllowed()) {\\n this.param.emit(event);\\n if (this.param.parent_param != null && this._blocked_parent_emit !== true) {\\n this.param.parent_param.emit(event);\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/utils/Serializer.ts\\nvar ParamSerializer = class {\\n constructor(param) {\\n this.param = param;\\n }\\n toJSON() {\\n const data = {\\n name: this.param.name(),\\n type: this.param.type(),\\n raw_input: this.rawInput(),\\n value: this.value(),\\n value_pre_conversion: this.value_pre_conversion(),\\n expression: this.expression(),\\n graph_node_id: this.param.graphNodeId(),\\n error_message: this.error_message(),\\n is_visible: this.is_visible(),\\n components: void 0\\n };\\n if (this.param.isMultiple() && this.param.components) {\\n data[\\\\\\\"components\\\\\\\"] = this.param.components.map((component) => component.graphNodeId());\\n }\\n return data;\\n }\\n rawInput() {\\n return this.param.rawInputSerialized();\\n }\\n value() {\\n return this.param.valueSerialized();\\n }\\n value_pre_conversion() {\\n return this.param.valuePreConversionSerialized();\\n }\\n expression() {\\n return this.param.hasExpression() ? this.param.expressionController?.expression() : void 0;\\n }\\n error_message() {\\n return this.param.states.error.message();\\n }\\n is_visible() {\\n return this.param.options.isVisible();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/utils/states/TimeDependent.ts\\nvar TimeDependentState2 = class {\\n constructor(param) {\\n this.param = param;\\n }\\n active() {\\n const frame_graph_node_id = this.param.scene().timeController.graphNode.graphNodeId();\\n return this.param.graphPredecessorIds().includes(frame_graph_node_id);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/utils/states/Error.ts\\nvar ParamErrorState = class {\\n constructor(param) {\\n this.param = param;\\n }\\n set(message) {\\n if (this._message != message) {\\n this._message = message;\\n if (this._message) {\\n Poly.warn(this.param.path(), this._message);\\n }\\n this.param.emitController.emit(ParamEvent.ERROR_UPDATED);\\n }\\n }\\n message() {\\n return this._message;\\n }\\n clear() {\\n this.set(void 0);\\n }\\n active() {\\n return this._message != null;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/utils/StatesController.ts\\nvar StatesController2 = class {\\n constructor(param) {\\n this.param = param;\\n this.timeDependent = new TimeDependentState2(this.param);\\n this.error = new ParamErrorState(this.param);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/expressions/MethodDependency.ts\\nvar MethodDependency = class extends CoreGraphNode {\\n constructor(param, path_argument, decomposed_path) {\\n super(param.scene(), \\\\\\\"MethodDependency\\\\\\\");\\n this.param = param;\\n this.path_argument = path_argument;\\n this.decomposed_path = decomposed_path;\\n this._update_from_name_change_bound = this._update_from_name_change.bind(this);\\n param.expressionController?.registerMethodDependency(this);\\n this.addPostDirtyHook(\\\\\\\"_update_from_name_change\\\\\\\", this._update_from_name_change_bound);\\n }\\n _update_from_name_change(trigger) {\\n if (trigger && this.decomposed_path) {\\n const node = trigger;\\n this.decomposed_path.update_from_name_change(node);\\n const new_path = this.decomposed_path.to_path();\\n const literal = this.jsep_node;\\n if (literal) {\\n literal.value = `${literal.value}`.replace(`${this.path_argument}`, new_path);\\n literal.raw = literal.raw.replace(`${this.path_argument}`, new_path);\\n }\\n if (this.param.expressionController) {\\n this.param.expressionController.updateFromMethodDependencyNameChange();\\n }\\n }\\n }\\n reset() {\\n this.graphDisconnectPredecessors();\\n }\\n listen_for_name_changes() {\\n if (this.jsep_node && this.decomposed_path) {\\n for (let node_in_path of this.decomposed_path.named_nodes()) {\\n if (node_in_path) {\\n const node = node_in_path;\\n if (node.nameController) {\\n this.addGraphInput(node.nameController.graph_node);\\n }\\n }\\n }\\n }\\n }\\n set_jsep_node(jsep_node) {\\n this.jsep_node = jsep_node;\\n }\\n set_resolved_graph_node(node) {\\n this.resolved_graph_node = node;\\n }\\n set_unresolved_path(path) {\\n this.unresolved_path = path;\\n }\\n static create(param, index_or_path, node, decomposed_path) {\\n const is_index = CoreType.isNumber(index_or_path);\\n const instance = new MethodDependency(param, index_or_path, decomposed_path);\\n if (node) {\\n instance.set_resolved_graph_node(node);\\n } else {\\n if (!is_index) {\\n const path = index_or_path;\\n instance.set_unresolved_path(path);\\n }\\n }\\n return instance;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/_Base.ts\\nvar TYPED_PARAM_DEFAULT_COMPONENT_NAMES = [];\\nvar TypedParam = class extends CoreGraphNode {\\n constructor(scene, node) {\\n super(scene, \\\\\\\"BaseParam\\\\\\\");\\n this._options = new OptionsController(this);\\n this._emit_controller = new EmitController(this);\\n this._is_computing = false;\\n this._node = node;\\n this.initialize_param();\\n }\\n get options() {\\n return this._options = this._options || new OptionsController(this);\\n }\\n get emitController() {\\n return this._emit_controller = this._emit_controller || new EmitController(this);\\n }\\n get expressionController() {\\n return this._expression_controller;\\n }\\n get serializer() {\\n return this._serializer = this._serializer || new ParamSerializer(this);\\n }\\n get states() {\\n return this._states = this._states || new StatesController2(this);\\n }\\n dispose() {\\n const predecessors = this.graphPredecessors();\\n for (let predecessor of predecessors) {\\n if (predecessor instanceof MethodDependency) {\\n predecessor.dispose();\\n }\\n }\\n this.scene().missingExpressionReferencesController.deregisterParam(this);\\n this._expression_controller?.dispose();\\n super.dispose();\\n this._options?.dispose();\\n }\\n initialize_param() {\\n }\\n static type() {\\n return ParamType.FLOAT;\\n }\\n type() {\\n return this.constructor.type();\\n }\\n isNumeric() {\\n return false;\\n }\\n setName(name) {\\n super.setName(name);\\n }\\n get value() {\\n return this._value;\\n }\\n copy_value(param) {\\n if (param.type() == this.type()) {\\n this._copy_value(param);\\n } else {\\n console.warn(`cannot copy value from ${param.type()} to ${this.type()}`);\\n }\\n }\\n _copy_value(param) {\\n throw \\\\\\\"abstract method param._copy_value\\\\\\\";\\n }\\n valuePreConversionSerialized() {\\n return void 0;\\n }\\n convert(raw_val) {\\n return null;\\n }\\n static are_raw_input_equal(val1, val2) {\\n return false;\\n }\\n is_raw_input_equal(other_raw_input) {\\n return this.constructor.are_raw_input_equal(this._raw_input, other_raw_input);\\n }\\n static are_values_equal(val1, val2) {\\n return false;\\n }\\n is_value_equal(other_val) {\\n return this.constructor.are_values_equal(this.value, other_val);\\n }\\n _clone_raw_input(raw_input) {\\n return raw_input;\\n }\\n set(raw_input) {\\n this._raw_input = this._clone_raw_input(this._prefilter_invalid_raw_input(raw_input));\\n this.emitController.emit(ParamEvent.RAW_INPUT_UPDATED);\\n this.processRawInput();\\n }\\n _prefilter_invalid_raw_input(raw_input) {\\n return raw_input;\\n }\\n defaultValue() {\\n return this._default_value;\\n }\\n isDefault() {\\n return this._raw_input == this._default_value;\\n }\\n rawInput() {\\n return this._raw_input;\\n }\\n processRawInput() {\\n }\\n async compute() {\\n if (this.scene().loadingController.isLoading()) {\\n console.warn(`param attempt to compute ${this.path()}`);\\n }\\n if (this.isDirty()) {\\n if (!this._is_computing) {\\n this._is_computing = true;\\n await this.processComputation();\\n this._is_computing = false;\\n if (this._compute_resolves) {\\n let callback;\\n while (callback = this._compute_resolves.pop()) {\\n callback();\\n }\\n }\\n } else {\\n return new Promise((resolve, reject) => {\\n this._compute_resolves = this._compute_resolves || [];\\n this._compute_resolves.push(resolve);\\n });\\n }\\n }\\n }\\n async processComputation() {\\n }\\n setInitValue(init_value) {\\n this._default_value = this._clone_raw_input(this._prefilter_invalid_raw_input(init_value));\\n }\\n _setupNodeDependencies(node) {\\n if (!node) {\\n if (this._node) {\\n this._node.params.params_node?.removeGraphInput(this);\\n }\\n } else {\\n this.options.allowCallback();\\n if (!this.parent_param) {\\n if (this.options.makesNodeDirtyWhenDirty()) {\\n node.params.params_node?.addGraphInput(this, false);\\n } else {\\n this.dirtyController.addPostDirtyHook(\\\\\\\"run callback\\\\\\\", async () => {\\n await this.compute();\\n this.options.executeCallback();\\n });\\n }\\n }\\n }\\n if (this.components) {\\n for (let c of this.components) {\\n c._setupNodeDependencies(node);\\n }\\n }\\n }\\n get node() {\\n return this._node;\\n }\\n parent() {\\n return this.node;\\n }\\n set_parent_param(param) {\\n param.addGraphInput(this, false);\\n this._parent_param = param;\\n }\\n get parent_param() {\\n return this._parent_param;\\n }\\n has_parent_param() {\\n return this._parent_param != null;\\n }\\n path() {\\n return this.node?.path() + \\\\\\\"/\\\\\\\" + this.name();\\n }\\n pathRelativeTo(node) {\\n const nodeRelativePath = CoreWalker.relativePath(node, this.node);\\n if (nodeRelativePath.length > 0) {\\n return `${nodeRelativePath}${CoreWalker.SEPARATOR}${this.name()}`;\\n } else {\\n return this.name();\\n }\\n }\\n emit(event_name) {\\n if (this.emitController.emitAllowed()) {\\n this.emitController.incrementCount(event_name);\\n this.scene().dispatchController.dispatch(this, event_name);\\n }\\n }\\n get components() {\\n return this._components;\\n }\\n componentNames() {\\n return TYPED_PARAM_DEFAULT_COMPONENT_NAMES;\\n }\\n isMultiple() {\\n return this.componentNames().length > 0;\\n }\\n initComponents() {\\n }\\n hasExpression() {\\n return this.expressionController != null && this.expressionController.active();\\n }\\n toJSON() {\\n return this.serializer.toJSON();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/expressions/traversers/ParsedTree.ts\\nvar import_jsep = __toModule(require_jsep());\\nimport_jsep.default.addUnaryOp(\\\\\\\"@\\\\\\\");\\nvar precedence = 10;\\nimport_jsep.default.addBinaryOp(\\\\\\\"**\\\\\\\", precedence);\\nvar JSEP_IDENTIFIER = \\\\\\\"Identifier\\\\\\\";\\nvar JSEP_LITERAL = \\\\\\\"Literal\\\\\\\";\\nvar JSEP_CALL_EXPRESSION = \\\\\\\"CallExpression\\\\\\\";\\nvar STRING_EXPRESSION_SEPARATOR = \\\\\\\"`\\\\\\\";\\nvar ParsedTree = class {\\n constructor() {\\n }\\n parse_expression(string) {\\n try {\\n this.reset();\\n this.node = import_jsep.default(string);\\n } catch (e) {\\n const message = `could not parse the expression '${string}' (error: ${e})`;\\n this.error_message = message;\\n }\\n }\\n parse_expression_for_string_param(string) {\\n try {\\n this.reset();\\n const elements = ParsedTree.string_value_elements(string);\\n const nodes = [];\\n for (let i = 0; i < elements.length; i++) {\\n const element = elements[i];\\n let node;\\n if (i % 2 == 1) {\\n node = import_jsep.default(element);\\n } else {\\n const sanitizedElement = element.replace(/\\\\'/g, \\\\\\\"\\\\\\\\'\\\\\\\");\\n node = {\\n type: JSEP_LITERAL,\\n value: `'${sanitizedElement}'`,\\n raw: `'${sanitizedElement}'`\\n };\\n }\\n nodes.push(node);\\n }\\n this.node = {\\n type: JSEP_CALL_EXPRESSION,\\n arguments: nodes,\\n callee: {\\n type: JSEP_IDENTIFIER,\\n name: \\\\\\\"strConcat\\\\\\\"\\n }\\n };\\n } catch (e) {\\n const message = `could not parse the expression '${string}' (error: ${e})`;\\n this.error_message = message;\\n }\\n }\\n static string_value_elements(v) {\\n if (v != null) {\\n if (CoreType.isString(v)) {\\n return v.split(STRING_EXPRESSION_SEPARATOR);\\n } else {\\n return [];\\n }\\n } else {\\n return [];\\n }\\n }\\n reset() {\\n this.node = void 0;\\n this.error_message = void 0;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/expressions/LiteralConstructsController.ts\\nvar LiteralConstructsController = class {\\n static if(args) {\\n const condition = args[0];\\n const val_true = args[1];\\n const val_false = args[2];\\n return `(${condition}) ? (${val_true}) : (${val_false})`;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/expressions/traversers/_Base.ts\\nvar VARIABLE_PREFIX = \\\\\\\"$\\\\\\\";\\nvar BaseTraverser = class {\\n constructor(param) {\\n this.param = param;\\n this._set_error_from_error_bound = this._set_error_from_error.bind(this);\\n }\\n clear_error() {\\n this._error_message = void 0;\\n }\\n set_error(message) {\\n this._error_message = this._error_message || message;\\n }\\n _set_error_from_error(error) {\\n if (CoreType.isString(error)) {\\n this._error_message = error;\\n } else {\\n this._error_message = error.message;\\n }\\n }\\n is_errored() {\\n return this._error_message != null;\\n }\\n error_message() {\\n return this._error_message;\\n }\\n reset() {\\n this._error_message = void 0;\\n }\\n traverse_node(node) {\\n const method_name = `traverse_${node.type}`;\\n const method = this[method_name];\\n if (method) {\\n return this[method_name](node);\\n } else {\\n this.set_error(`expression unknown node type: ${node.type}`);\\n }\\n }\\n traverse_BinaryExpression(node) {\\n return `${this.traverse_node(node.left)} ${node.operator} ${this.traverse_node(node.right)}`;\\n }\\n traverse_LogicalExpression(node) {\\n return `${this.traverse_node(node.left)} ${node.operator} ${this.traverse_node(node.right)}`;\\n }\\n traverse_MemberExpression(node) {\\n return `${this.traverse_node(node.object)}.${this.traverse_node(node.property)}`;\\n }\\n traverse_ConditionalExpression(node) {\\n return `(${this.traverse_node(node.test)}) ? (${this.traverse_node(node.consequent)}) : (${this.traverse_node(node.alternate)})`;\\n }\\n traverse_Compound(node) {\\n const args = node.body;\\n let traversed_args = [];\\n for (let i = 0; i < args.length; i++) {\\n const arg_node = args[i];\\n if (arg_node.type == \\\\\\\"Identifier\\\\\\\") {\\n if (arg_node.name[0] == VARIABLE_PREFIX) {\\n traversed_args.push(\\\\\\\"`${\\\\\\\" + this.traverse_node(arg_node) + \\\\\\\"}`\\\\\\\");\\n } else {\\n traversed_args.push(`'${arg_node.name}'`);\\n }\\n } else {\\n traversed_args.push(\\\\\\\"`${\\\\\\\" + this.traverse_node(arg_node) + \\\\\\\"}`\\\\\\\");\\n }\\n }\\n return traversed_args.join(\\\\\\\" + \\\\\\\");\\n }\\n traverse_Literal(node) {\\n return `${node.raw}`;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/expressions/AttributeRequirementsController.ts\\nvar VAR_CORE_GEOMETRY = `coreGeometry`;\\nvar AttributeRequirementsController = class {\\n constructor() {\\n }\\n reset() {\\n if (this._attributeNames) {\\n this._attributeNames.clear();\\n }\\n }\\n assignAttributesLines() {\\n if (this._attributeNames) {\\n const lines = [];\\n for (let attribName of this._attributeNames) {\\n lines.push(AttributeRequirementsController.assignAttributeLine(attribName));\\n }\\n return lines.join(\\\\\\\";\\\\n\\\\\\\");\\n } else {\\n return \\\\\\\"\\\\\\\";\\n }\\n }\\n assignArraysLines() {\\n if (this._attributeNames) {\\n const lines = [];\\n if (this._attributeNames.size > 0) {\\n const coreGeoLine = `const ${VAR_CORE_GEOMETRY} = entities[0].coreGeometry();`;\\n lines.push(coreGeoLine);\\n }\\n for (let attribName of this._attributeNames) {\\n lines.push(AttributeRequirementsController.assignItemSizeLine(attribName));\\n lines.push(AttributeRequirementsController.assignArrayLine(attribName));\\n }\\n return lines.join(\\\\\\\";\\\\n\\\\\\\");\\n } else {\\n return \\\\\\\"\\\\\\\";\\n }\\n }\\n attributePresenceCheckLine() {\\n if (this._attributeNames) {\\n const varNames = [];\\n for (let attribName of this._attributeNames) {\\n const varName = AttributeRequirementsController._varAttribute(attribName);\\n varNames.push(varName);\\n }\\n if (varNames.length > 0) {\\n return varNames.join(\\\\\\\" && \\\\\\\");\\n }\\n }\\n return \\\\\\\"true\\\\\\\";\\n }\\n add(attribName) {\\n this._attributeNames = this._attributeNames || new Set();\\n this._attributeNames.add(attribName);\\n }\\n static assignAttributeLine(attribName) {\\n const varAttribute = this._varAttribute(attribName);\\n return `const ${varAttribute} = entities[0].geometry().attributes['${attribName}']`;\\n }\\n static assignItemSizeLine(attribName) {\\n const varAttribute = this._varAttribute(attribName);\\n const varAttributeSize = this._varAttribSize(attribName);\\n return `const ${varAttributeSize} = ${varAttribute}.itemSize`;\\n }\\n static assignArrayLine(attribName) {\\n const varAttribute = this._varAttribute(attribName);\\n const varArray = this._varArray(attribName);\\n const isIndexedCondition = `${VAR_CORE_GEOMETRY}.isAttribIndexed('${attribName}')`;\\n const indexedArray = `entities.map(e=>e.indexedAttribValue('${attribName}'))`;\\n const nonIndexedArray = `${varAttribute}.array`;\\n return `const ${varArray} = ${isIndexedCondition} ? ${indexedArray} : ${nonIndexedArray}`;\\n }\\n static _varAttribute(attribName) {\\n return `attrib_${attribName}`;\\n }\\n static _varAttribSize(attribName) {\\n return `attrib_size_${attribName}`;\\n }\\n static _varArray(attribName) {\\n return `array_${attribName}`;\\n }\\n varAttributeSize(attribName) {\\n return AttributeRequirementsController._varAttribSize(attribName);\\n }\\n varArray(attribName) {\\n return AttributeRequirementsController._varArray(attribName);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/expressions/traversers/FunctionGenerator.ts\\nvar NATIVE_MATH_METHODS = [\\n \\\\\\\"abs\\\\\\\",\\n \\\\\\\"acos\\\\\\\",\\n \\\\\\\"acosh\\\\\\\",\\n \\\\\\\"asin\\\\\\\",\\n \\\\\\\"asinh\\\\\\\",\\n \\\\\\\"atan\\\\\\\",\\n \\\\\\\"atan2\\\\\\\",\\n \\\\\\\"atanh\\\\\\\",\\n \\\\\\\"ceil\\\\\\\",\\n \\\\\\\"cos\\\\\\\",\\n \\\\\\\"cosh\\\\\\\",\\n \\\\\\\"exp\\\\\\\",\\n \\\\\\\"expm1\\\\\\\",\\n \\\\\\\"floor\\\\\\\",\\n \\\\\\\"log\\\\\\\",\\n \\\\\\\"log1p\\\\\\\",\\n \\\\\\\"log2\\\\\\\",\\n \\\\\\\"log10\\\\\\\",\\n \\\\\\\"max\\\\\\\",\\n \\\\\\\"min\\\\\\\",\\n \\\\\\\"pow\\\\\\\",\\n \\\\\\\"round\\\\\\\",\\n \\\\\\\"sign\\\\\\\",\\n \\\\\\\"sin\\\\\\\",\\n \\\\\\\"sinh\\\\\\\",\\n \\\\\\\"sqrt\\\\\\\",\\n \\\\\\\"tan\\\\\\\",\\n \\\\\\\"tanh\\\\\\\"\\n];\\nvar NATIVE_ES6_MATH_METHODS = [\\\\\\\"cbrt\\\\\\\", \\\\\\\"hypot\\\\\\\", \\\\\\\"log10\\\\\\\", \\\\\\\"trunc\\\\\\\"];\\nvar NATIVE_MATH_METHODS_RENAMED = {\\n math_random: \\\\\\\"random\\\\\\\"\\n};\\nvar CORE_MATH_METHODS = [\\\\\\\"fit\\\\\\\", \\\\\\\"fit01\\\\\\\", \\\\\\\"fract\\\\\\\", \\\\\\\"deg2rad\\\\\\\", \\\\\\\"rad2deg\\\\\\\", \\\\\\\"rand\\\\\\\", \\\\\\\"clamp\\\\\\\"];\\nvar EASING_METHODS = Object.keys(Easing);\\nvar CORE_STRING_METHODS = [\\\\\\\"precision\\\\\\\"];\\nvar NATIVE_MATH_CONSTANTS = [\\\\\\\"E\\\\\\\", \\\\\\\"LN2\\\\\\\", \\\\\\\"LN10\\\\\\\", \\\\\\\"LOG10E\\\\\\\", \\\\\\\"LOG2E\\\\\\\", \\\\\\\"PI\\\\\\\", \\\\\\\"SQRT1_2\\\\\\\", \\\\\\\"SQRT2\\\\\\\"];\\nvar DIRECT_EXPRESSION_FUNCTIONS = {};\\nNATIVE_MATH_METHODS.forEach((name) => {\\n DIRECT_EXPRESSION_FUNCTIONS[name] = `Math.${name}`;\\n});\\nNATIVE_ES6_MATH_METHODS.forEach((name) => {\\n DIRECT_EXPRESSION_FUNCTIONS[name] = `Math.${name}`;\\n});\\nObject.keys(NATIVE_MATH_METHODS_RENAMED).forEach((name) => {\\n const remaped = NATIVE_MATH_METHODS_RENAMED[name];\\n DIRECT_EXPRESSION_FUNCTIONS[name] = `Math.${remaped}`;\\n});\\nCORE_MATH_METHODS.forEach((name) => {\\n DIRECT_EXPRESSION_FUNCTIONS[name] = `Core.Math.${name}`;\\n});\\nEASING_METHODS.forEach((name) => {\\n DIRECT_EXPRESSION_FUNCTIONS[name] = `Core.Math.Easing.${name}`;\\n});\\nCORE_STRING_METHODS.forEach((name) => {\\n DIRECT_EXPRESSION_FUNCTIONS[name] = `Core.String.${name}`;\\n});\\nvar LITERAL_CONSTRUCT = {\\n if: LiteralConstructsController.if\\n};\\nvar GLOBAL_CONSTANTS = {};\\nNATIVE_MATH_CONSTANTS.forEach((name) => {\\n GLOBAL_CONSTANTS[name] = `Math.${name}`;\\n});\\nvar QUOTE = \\\\\\\"'\\\\\\\";\\nvar ARGUMENTS_SEPARATOR = \\\\\\\", \\\\\\\";\\nvar ATTRIBUTE_PREFIX = \\\\\\\"@\\\\\\\";\\nvar PROPERTY_OFFSETS = {\\n x: 0,\\n y: 1,\\n z: 2,\\n w: 3,\\n r: 0,\\n g: 1,\\n b: 2\\n};\\nvar FunctionGenerator = class extends BaseTraverser {\\n constructor(param) {\\n super(param);\\n this.param = param;\\n this._attribute_requirements_controller = new AttributeRequirementsController();\\n this.methods = [];\\n this.method_index = -1;\\n this.method_dependencies = [];\\n this.immutable_dependencies = [];\\n }\\n parse_tree(parsed_tree) {\\n this.reset();\\n if (parsed_tree.error_message == null) {\\n try {\\n this._attribute_requirements_controller = new AttributeRequirementsController();\\n if (parsed_tree.node) {\\n const function_main_string = this.traverse_node(parsed_tree.node);\\n if (function_main_string && !this.is_errored()) {\\n this.function_main_string = function_main_string;\\n }\\n } else {\\n console.warn(\\\\\\\"no parsed_tree.node\\\\\\\");\\n }\\n } catch (e) {\\n console.warn(`error in expression for param ${this.param.path()}`);\\n console.warn(e);\\n }\\n if (this.function_main_string) {\\n try {\\n const body = this._functionBody();\\n this.function = new Function(\\\\\\\"Core\\\\\\\", \\\\\\\"param\\\\\\\", \\\\\\\"methods\\\\\\\", \\\\\\\"_set_error_from_error\\\\\\\", `\\n\\t\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\t\\t${body}\\n\\t\\t\\t\\t\\t} catch(e) {\\n\\t\\t\\t\\t\\t\\t_set_error_from_error(e)\\n\\t\\t\\t\\t\\t\\treturn null;\\n\\t\\t\\t\\t\\t}`);\\n } catch (e) {\\n console.warn(e);\\n this.set_error(\\\\\\\"cannot generate function\\\\\\\");\\n }\\n } else {\\n this.set_error(\\\\\\\"cannot generate function body\\\\\\\");\\n }\\n } else {\\n this.set_error(\\\\\\\"cannot parse expression\\\\\\\");\\n }\\n }\\n reset() {\\n super.reset();\\n this.function_main_string = void 0;\\n this.methods = [];\\n this.method_index = -1;\\n this.function = void 0;\\n this.method_dependencies = [];\\n this.immutable_dependencies = [];\\n }\\n _functionBody() {\\n if (this.param.options.isExpressionForEntities()) {\\n return `\\n\\t\\t\\tconst entities = param.expressionController.entities();\\n\\t\\t\\tif(entities){\\n\\t\\t\\t\\treturn new Promise( async (resolve, reject)=>{\\n\\t\\t\\t\\t\\tlet entity;\\n\\t\\t\\t\\t\\tconst entity_callback = param.expressionController.entity_callback();\\n\\t\\t\\t\\t\\t// assign_attributes_lines\\n\\t\\t\\t\\t\\t${this._attribute_requirements_controller.assignAttributesLines()}\\n\\t\\t\\t\\t\\t// check if attributes are present\\n\\t\\t\\t\\t\\tif( ${this._attribute_requirements_controller.attributePresenceCheckLine()} ){\\n\\t\\t\\t\\t\\t\\t// assign_arrays_lines\\n\\t\\t\\t\\t\\t\\t${this._attribute_requirements_controller.assignArraysLines()}\\n\\t\\t\\t\\t\\t\\tfor(let index=0; index < entities.length; index++){\\n\\t\\t\\t\\t\\t\\t\\tentity = entities[index];\\n\\t\\t\\t\\t\\t\\t\\tresult = ${this.function_main_string};\\n\\t\\t\\t\\t\\t\\t\\tentity_callback(entity, result);\\n\\t\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t\\t\\tresolve()\\n\\t\\t\\t\\t\\t} else {\\n\\t\\t\\t\\t\\t\\tconst error = new Error('attribute not found')\\n\\t\\t\\t\\t\\t\\t_set_error_from_error(error)\\n\\t\\t\\t\\t\\t\\treject(error)\\n\\t\\t\\t\\t\\t}\\n\\t\\t\\t\\t})\\n\\t\\t\\t}\\n\\t\\t\\treturn []`;\\n } else {\\n return `\\n\\t\\t\\treturn new Promise( async (resolve, reject)=>{\\n\\t\\t\\t\\ttry {\\n\\t\\t\\t\\t\\tconst value = ${this.function_main_string}\\n\\t\\t\\t\\t\\tresolve(value)\\n\\t\\t\\t\\t} catch(e) {\\n\\t\\t\\t\\t\\t_set_error_from_error(e)\\n\\t\\t\\t\\t\\treject()\\n\\t\\t\\t\\t}\\n\\t\\t\\t})\\n\\t\\t\\t`;\\n }\\n }\\n evalAllowed() {\\n return this.function != null;\\n }\\n evalFunction() {\\n if (this.function) {\\n this.clear_error();\\n const Core = {\\n Math: CoreMath,\\n String: CoreString\\n };\\n const result = this.function(Core, this.param, this.methods, this._set_error_from_error_bound);\\n return result;\\n }\\n }\\n traverse_CallExpression(node) {\\n const method_arguments = node.arguments.map((arg) => {\\n return this.traverse_node(arg);\\n });\\n const callee = node.callee;\\n const method_name = callee.name;\\n if (method_name) {\\n const literal_contruct = LITERAL_CONSTRUCT[method_name];\\n if (literal_contruct) {\\n return literal_contruct(method_arguments);\\n }\\n const arguments_joined = `${method_arguments.join(ARGUMENTS_SEPARATOR)}`;\\n const direct_function_name = DIRECT_EXPRESSION_FUNCTIONS[method_name];\\n if (direct_function_name) {\\n return `${direct_function_name}(${arguments_joined})`;\\n }\\n const expressionRegister = Poly.expressionsRegister;\\n const indirect_method = expressionRegister.getMethod(method_name);\\n if (indirect_method) {\\n const path_node = node.arguments[0];\\n const function_string = `return ${method_arguments[0]}`;\\n let path_argument_function;\\n let path_argument = [];\\n try {\\n path_argument_function = new Function(function_string);\\n path_argument = path_argument_function();\\n } catch {\\n }\\n this._create_method_and_dependencies(method_name, path_argument, path_node);\\n return `(await methods[${this.method_index}].processArguments([${arguments_joined}]))`;\\n } else {\\n const available_methods = expressionRegister.availableMethods().join(\\\\\\\", \\\\\\\");\\n const message = `method not found (${method_name}), available methods are: ${available_methods}`;\\n Poly.warn(message);\\n }\\n }\\n this.set_error(`unknown method: ${method_name}`);\\n }\\n traverse_BinaryExpression(node) {\\n return `(${this.traverse_node(node.left)} ${node.operator} ${this.traverse_node(node.right)})`;\\n }\\n traverse_LogicalExpression(node) {\\n return `(${this.traverse_node(node.left)} ${node.operator} ${this.traverse_node(node.right)})`;\\n }\\n traverse_MemberExpression(node) {\\n return `${this.traverse_node(node.object)}.${this.traverse_node(node.property)}`;\\n }\\n traverse_UnaryExpression(node) {\\n if (node.operator === ATTRIBUTE_PREFIX) {\\n let argument = node.argument;\\n let attribute_name;\\n let property;\\n switch (argument.type) {\\n case \\\\\\\"Identifier\\\\\\\": {\\n const argument_identifier = argument;\\n attribute_name = argument_identifier.name;\\n break;\\n }\\n case \\\\\\\"MemberExpression\\\\\\\": {\\n const argument_member_expression = argument;\\n const attrib_node = argument_member_expression.object;\\n const property_node = argument_member_expression.property;\\n attribute_name = attrib_node.name;\\n property = property_node.name;\\n break;\\n }\\n }\\n if (attribute_name) {\\n attribute_name = CoreAttribute.remapName(attribute_name);\\n if (attribute_name == \\\\\\\"ptnum\\\\\\\") {\\n return \\\\\\\"((entity != null) ? entity.index() : 0)\\\\\\\";\\n } else {\\n const var_attribute_size = this._attribute_requirements_controller.varAttributeSize(attribute_name);\\n const var_array = this._attribute_requirements_controller.varArray(attribute_name);\\n this._attribute_requirements_controller.add(attribute_name);\\n if (property) {\\n const property_offset = PROPERTY_OFFSETS[property];\\n return `${var_array}[entity.index()*${var_attribute_size}+${property_offset}]`;\\n } else {\\n return `${var_array}[entity.index()*${var_attribute_size}]`;\\n }\\n }\\n } else {\\n console.warn(\\\\\\\"attribute not found\\\\\\\");\\n return \\\\\\\"\\\\\\\";\\n }\\n } else {\\n return `${node.operator}${this.traverse_node(node.argument)}`;\\n }\\n }\\n traverse_Literal(node) {\\n return `${node.raw}`;\\n }\\n traverse_Identifier(node) {\\n const identifier_first_char = node.name[0];\\n if (identifier_first_char == VARIABLE_PREFIX) {\\n const identifier_name_without_dollar_sign = node.name.substr(1);\\n const direct_constant_name = GLOBAL_CONSTANTS[identifier_name_without_dollar_sign];\\n if (direct_constant_name) {\\n return direct_constant_name;\\n }\\n const method_name = `traverse_Identifier_${identifier_name_without_dollar_sign}`;\\n const method = this[method_name];\\n if (method) {\\n return this[method_name]();\\n } else {\\n this.set_error(`identifier unknown: ${node.name}`);\\n }\\n } else {\\n return node.name;\\n }\\n }\\n traverse_Identifier_F() {\\n this.immutable_dependencies.push(this.param.scene().timeController.graphNode);\\n return `param.scene().timeController.frame()`;\\n }\\n traverse_Identifier_T() {\\n this.immutable_dependencies.push(this.param.scene().timeController.graphNode);\\n return `param.scene().timeController.time()`;\\n }\\n traverse_Identifier_OS() {\\n return `${QUOTE}${this.param.node.name()}${QUOTE}`;\\n }\\n traverse_Identifier_CH() {\\n return `${QUOTE}${this.param.name()}${QUOTE}`;\\n }\\n traverse_Identifier_CEX() {\\n return this._method_centroid(\\\\\\\"x\\\\\\\");\\n }\\n traverse_Identifier_CEY() {\\n return this._method_centroid(\\\\\\\"y\\\\\\\");\\n }\\n traverse_Identifier_CEZ() {\\n return this._method_centroid(\\\\\\\"z\\\\\\\");\\n }\\n _method_centroid(component) {\\n const method_arguments = [0, `${QUOTE}${component}${QUOTE}`];\\n const arguments_joined = method_arguments.join(ARGUMENTS_SEPARATOR);\\n this._create_method_and_dependencies(\\\\\\\"centroid\\\\\\\", 0);\\n return `(await methods[${this.method_index}].processArguments([${arguments_joined}]))`;\\n }\\n _create_method_and_dependencies(method_name, path_argument, path_node) {\\n const expressionRegister = Poly.expressionsRegister;\\n const method_constructor = expressionRegister.getMethod(method_name);\\n if (!method_constructor) {\\n const available_methods = expressionRegister.availableMethods();\\n const message = `method not found (${method_name}), available methods are: ${available_methods.join(\\\\\\\", \\\\\\\")}`;\\n this.set_error(message);\\n Poly.warn(message);\\n return;\\n }\\n const method = new method_constructor(this.param);\\n this.method_index += 1;\\n this.methods[this.method_index] = method;\\n if (method.require_dependency()) {\\n const method_dependency = method.findDependency(path_argument);\\n if (method_dependency) {\\n if (path_node) {\\n method_dependency.set_jsep_node(path_node);\\n }\\n this.method_dependencies.push(method_dependency);\\n } else {\\n if (path_node && CoreType.isString(path_argument)) {\\n this.param.scene().missingExpressionReferencesController.register(this.param, path_argument);\\n }\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/expressions/traversers/ExpressionStringGenerator.ts\\nvar ARGUMENTS_SEPARATOR2 = \\\\\\\", \\\\\\\";\\nvar ExpressionStringGenerator = class extends BaseTraverser {\\n constructor(param) {\\n super(param);\\n this.param = param;\\n }\\n parse_tree(parsed_tree) {\\n if (parsed_tree.error_message == null && parsed_tree.node) {\\n try {\\n return this.traverse_node(parsed_tree.node);\\n } catch (e) {\\n this.set_error(\\\\\\\"could not traverse tree\\\\\\\");\\n }\\n } else {\\n this.set_error(\\\\\\\"cannot parse tree\\\\\\\");\\n }\\n }\\n traverse_CallExpression(node) {\\n const method_arguments = node.arguments.map((arg) => {\\n return this.traverse_node(arg);\\n });\\n const arguments_joined = `${method_arguments.join(ARGUMENTS_SEPARATOR2)}`;\\n const method_name = node.callee.name;\\n return `${method_name}(${arguments_joined})`;\\n }\\n traverse_UnaryExpression(node) {\\n return `${node.operator}${this.traverse_node(node.argument)}`;\\n }\\n traverse_Identifier(node) {\\n return `${node.name}`;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/expressions/DependenciesController.ts\\nvar DependenciesController = class {\\n constructor(param) {\\n this.param = param;\\n this.cyclic_graph_detected = false;\\n this.method_dependencies = [];\\n }\\n set_error(message) {\\n this.error_message = this.error_message || message;\\n }\\n reset() {\\n this.param.graphDisconnectPredecessors();\\n this.method_dependencies.forEach((method_dependency) => {\\n method_dependency.reset();\\n });\\n this.method_dependencies = [];\\n }\\n update(function_generator) {\\n this.cyclic_graph_detected = false;\\n this.connect_immutable_dependencies(function_generator);\\n this.method_dependencies = function_generator.method_dependencies;\\n this.handle_method_dependencies();\\n this.listen_for_name_changes();\\n }\\n connect_immutable_dependencies(function_generator) {\\n function_generator.immutable_dependencies.forEach((dependency) => {\\n if (this.cyclic_graph_detected == false) {\\n if (this.param.addGraphInput(dependency) == false) {\\n this.cyclic_graph_detected = true;\\n this.set_error(\\\\\\\"cannot create expression, infinite graph detected\\\\\\\");\\n this.reset();\\n return;\\n }\\n }\\n });\\n }\\n handle_method_dependencies() {\\n this.method_dependencies.forEach((method_dependency) => {\\n if (this.cyclic_graph_detected == false) {\\n this.handle_method_dependency(method_dependency);\\n }\\n });\\n }\\n handle_method_dependency(method_dependency) {\\n const node_simple = method_dependency.resolved_graph_node;\\n if (node_simple) {\\n if (!this.param.addGraphInput(node_simple)) {\\n this.cyclic_graph_detected = true;\\n this.set_error(\\\\\\\"cannot create expression, infinite graph detected\\\\\\\");\\n this.reset();\\n return;\\n }\\n }\\n }\\n listen_for_name_changes() {\\n this.method_dependencies.forEach((method_dependency) => {\\n method_dependency.listen_for_name_changes();\\n });\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/expressions/ExpressionManager.ts\\nvar ExpressionManager = class {\\n constructor(param) {\\n this.param = param;\\n this.parse_completed = false;\\n this.parse_started = false;\\n this.parsed_tree = new ParsedTree();\\n this._functionGenerator = new FunctionGenerator(this.param);\\n this.dependencies_controller = new DependenciesController(this.param);\\n }\\n parseExpression(expression) {\\n if (this.parse_started) {\\n throw new Error(`parse in progress for param ${this.param.path()}`);\\n }\\n this.parse_started = true;\\n this.parse_completed = false;\\n this.parsed_tree = this.parsed_tree || new ParsedTree();\\n this.reset();\\n if (this.param.type() == ParamType.STRING) {\\n this.parsed_tree.parse_expression_for_string_param(expression);\\n } else {\\n this.parsed_tree.parse_expression(expression);\\n }\\n this._functionGenerator.parse_tree(this.parsed_tree);\\n if (this._functionGenerator.error_message() == null) {\\n this.dependencies_controller.update(this._functionGenerator);\\n if (this.dependencies_controller.error_message) {\\n this.param.states.error.set(this.dependencies_controller.error_message);\\n } else {\\n this.parse_completed = true;\\n this.parse_started = false;\\n }\\n }\\n }\\n async computeFunction() {\\n if (this._computeAllowed()) {\\n try {\\n const new_value = await this._functionGenerator.evalFunction();\\n return new_value;\\n } catch (e) {\\n return;\\n }\\n } else {\\n return new Promise((resolve, reject) => {\\n resolve(null);\\n });\\n }\\n }\\n reset() {\\n this.parse_completed = false;\\n this.parse_started = false;\\n this.dependencies_controller.reset();\\n this._functionGenerator.reset();\\n }\\n is_errored() {\\n return this._functionGenerator.is_errored();\\n }\\n error_message() {\\n return this._functionGenerator.error_message();\\n }\\n _computeAllowed() {\\n return this._functionGenerator.evalAllowed();\\n }\\n updateFromMethodDependencyNameChange() {\\n this.expression_string_generator = this.expression_string_generator || new ExpressionStringGenerator(this.param);\\n const new_expression_string = this.expression_string_generator.parse_tree(this.parsed_tree);\\n if (new_expression_string) {\\n this.param.set(new_expression_string);\\n } else {\\n console.warn(\\\\\\\"failed to regenerate expression\\\\\\\");\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/utils/ExpressionController.ts\\nvar ExpressionController = class {\\n constructor(param) {\\n this.param = param;\\n }\\n dispose() {\\n this.param.scene().expressionsController.deregisterParam(this.param);\\n this._resetMethodDependencies();\\n }\\n _resetMethodDependencies() {\\n this._method_dependencies_by_graph_node_id?.forEach((method_dependency) => {\\n method_dependency.dispose();\\n });\\n this._method_dependencies_by_graph_node_id?.clear();\\n }\\n registerMethodDependency(method_dependency) {\\n this._method_dependencies_by_graph_node_id = this._method_dependencies_by_graph_node_id || new Map();\\n this._method_dependencies_by_graph_node_id.set(method_dependency.graphNodeId(), method_dependency);\\n }\\n active() {\\n return this._expression != null;\\n }\\n expression() {\\n return this._expression;\\n }\\n is_errored() {\\n if (this._manager) {\\n return this._manager.is_errored();\\n }\\n return false;\\n }\\n error_message() {\\n if (this._manager) {\\n return this._manager.error_message();\\n }\\n return null;\\n }\\n requires_entities() {\\n return this.param.options.isExpressionForEntities();\\n }\\n set_expression(expression, set_dirty = true) {\\n this.param.scene().missingExpressionReferencesController.deregisterParam(this.param);\\n this.param.scene().expressionsController.deregisterParam(this.param);\\n if (this._expression != expression) {\\n this._resetMethodDependencies();\\n this._expression = expression;\\n if (this._expression) {\\n this._manager = this._manager || new ExpressionManager(this.param);\\n this._manager.parseExpression(this._expression);\\n } else {\\n this._manager?.reset();\\n }\\n if (set_dirty) {\\n this.param.setDirty();\\n }\\n }\\n }\\n updateFromMethodDependencyNameChange() {\\n if (this._manager && this.active()) {\\n this._manager.updateFromMethodDependencyNameChange();\\n }\\n }\\n async computeExpression() {\\n if (this._manager && this.active()) {\\n const result = await this._manager.computeFunction();\\n return result;\\n }\\n }\\n async computeExpressionForEntities(entities, callback) {\\n this.set_entities(entities, callback);\\n await this.computeExpression();\\n if (this._manager?.error_message()) {\\n this.param.node.states.error.set(`expression evalution error: ${this._manager?.error_message()}`);\\n }\\n this.reset_entities();\\n }\\n computeExpressionForPoints(entities, callback) {\\n return this.computeExpressionForEntities(entities, callback);\\n }\\n computeExpressionForObjects(entities, callback) {\\n return this.computeExpressionForEntities(entities, callback);\\n }\\n entities() {\\n return this._entities;\\n }\\n entity_callback() {\\n return this._entity_callback;\\n }\\n set_entities(entities, callback) {\\n this._entities = entities;\\n this._entity_callback = callback;\\n }\\n reset_entities() {\\n this._entities = void 0;\\n this._entity_callback = void 0;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/_Numeric.ts\\nvar TypedNumericParam = class extends TypedParam {\\n isNumeric() {\\n return true;\\n }\\n isDefault() {\\n return this._raw_input == this._default_value;\\n }\\n _prefilter_invalid_raw_input(raw_input) {\\n if (CoreType.isArray(raw_input)) {\\n return raw_input[0];\\n } else {\\n return raw_input;\\n }\\n }\\n processRawInput() {\\n this.states.error.clear();\\n const converted = this.convert(this._raw_input);\\n if (converted != null) {\\n if (this._expression_controller) {\\n this._expression_controller.set_expression(void 0, false);\\n this.emitController.emit(ParamEvent.EXPRESSION_UPDATED);\\n }\\n if (converted != this._value) {\\n this._update_value(converted);\\n this.setSuccessorsDirty(this);\\n }\\n } else {\\n if (CoreType.isString(this._raw_input)) {\\n this._expression_controller = this._expression_controller || new ExpressionController(this);\\n if (this._raw_input != this._expression_controller.expression()) {\\n this._expression_controller.set_expression(this._raw_input);\\n this.emitController.emit(ParamEvent.EXPRESSION_UPDATED);\\n }\\n } else {\\n this.states.error.set(`param input is invalid (${this.path()})`);\\n }\\n }\\n }\\n async processComputation() {\\n if (this.expressionController?.active() && !this.expressionController.requires_entities()) {\\n const expression_result = await this.expressionController.computeExpression();\\n if (this.expressionController.is_errored()) {\\n this.states.error.set(`expression error: \\\\\\\"${this.expressionController.expression()}\\\\\\\" (${this.expressionController.error_message()})`);\\n } else {\\n const converted = this.convert(expression_result);\\n if (converted != null) {\\n if (this.states.error.active()) {\\n this.states.error.clear();\\n }\\n this._update_value(converted);\\n } else {\\n this.states.error.set(`expression returns an invalid type (${expression_result}) (${this.expressionController.expression()})`);\\n }\\n }\\n }\\n }\\n _update_value(new_value) {\\n this._value = new_value;\\n if (this.parent_param) {\\n this.parent_param.set_value_from_components();\\n }\\n this.options.executeCallback();\\n this.emitController.emit(ParamEvent.VALUE_UPDATED);\\n this.removeDirtyState();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Boolean.ts\\nvar BooleanParam = class extends TypedNumericParam {\\n static type() {\\n return ParamType.BOOLEAN;\\n }\\n defaultValueSerialized() {\\n if (CoreType.isString(this._default_value)) {\\n return this._default_value;\\n } else {\\n return this.convert(this._default_value) || false;\\n }\\n }\\n rawInputSerialized() {\\n return this._raw_input;\\n }\\n valueSerialized() {\\n return this.value;\\n }\\n _copy_value(param) {\\n this.set(param.value);\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n return raw_input1 == raw_input2;\\n }\\n static are_values_equal(val1, val2) {\\n return val1 == val2;\\n }\\n convert(raw_val) {\\n if (CoreType.isBoolean(raw_val)) {\\n return raw_val;\\n } else {\\n if (CoreType.isNumber(raw_val)) {\\n return raw_val >= 1;\\n } else {\\n if (CoreType.isString(raw_val)) {\\n if (CoreString.isBoolean(raw_val)) {\\n return CoreString.toBoolean(raw_val);\\n } else {\\n if (CoreString.isNumber(raw_val)) {\\n const parsed = parseFloat(raw_val);\\n return parsed >= 1;\\n }\\n }\\n }\\n }\\n }\\n return null;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Button.ts\\nvar ButtonParam = class extends TypedParam {\\n static type() {\\n return ParamType.BUTTON;\\n }\\n defaultValueSerialized() {\\n return this._default_value;\\n }\\n rawInputSerialized() {\\n return this._raw_input;\\n }\\n valueSerialized() {\\n return this.value;\\n }\\n _copy_value(param) {\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n return true;\\n }\\n static are_values_equal(val1, val2) {\\n return true;\\n }\\n async pressButton() {\\n if (this.node.isDirty() || this.node.cookController.isCooking()) {\\n await this.node.compute();\\n }\\n this.options.executeCallback();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Float.ts\\nvar FloatParam = class extends TypedNumericParam {\\n static type() {\\n return ParamType.FLOAT;\\n }\\n defaultValueSerialized() {\\n return this._default_value;\\n }\\n rawInputSerialized() {\\n return this._raw_input;\\n }\\n valueSerialized() {\\n return this.value;\\n }\\n _copy_value(param) {\\n this.set(param.valueSerialized());\\n }\\n _prefilter_invalid_raw_input(raw_input) {\\n if (CoreType.isArray(raw_input)) {\\n return raw_input[0];\\n }\\n if (CoreType.isString(raw_input) && CoreString.isNumber(raw_input)) {\\n return parseFloat(raw_input);\\n }\\n return raw_input;\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n return raw_input1 == raw_input2;\\n }\\n static are_values_equal(val1, val2) {\\n return val1 == val2;\\n }\\n static convert(raw_val) {\\n if (CoreType.isNumber(raw_val)) {\\n return raw_val;\\n } else {\\n if (CoreType.isBoolean(raw_val)) {\\n return raw_val ? 1 : 0;\\n } else {\\n if (CoreString.isNumber(raw_val)) {\\n const parsed = parseFloat(raw_val);\\n if (CoreType.isNumber(parsed)) {\\n return parsed;\\n }\\n }\\n }\\n return null;\\n }\\n }\\n convert(raw_val) {\\n const result = FloatParam.convert(raw_val);\\n if (result) {\\n return this.options.ensureInRange(result);\\n } else {\\n return result;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/_Multiple.ts\\nvar TypedMultipleParam = class extends TypedParam {\\n constructor() {\\n super(...arguments);\\n this._components_contructor = FloatParam;\\n }\\n get components() {\\n return this._components;\\n }\\n isNumeric() {\\n return true;\\n }\\n isDefault() {\\n for (let c of this.components) {\\n if (!c.isDefault()) {\\n return false;\\n }\\n }\\n return true;\\n }\\n rawInput() {\\n return this._components.map((c) => c.rawInput());\\n }\\n rawInputSerialized() {\\n return this._components.map((c) => c.rawInputSerialized());\\n }\\n _copy_value(param) {\\n for (let i = 0; i < this.components.length; i++) {\\n const component = this.components[i];\\n const src_component = param.components[i];\\n component.copy_value(src_component);\\n }\\n }\\n initComponents() {\\n if (this._components != null) {\\n return;\\n }\\n let index = 0;\\n this._components = new Array(this.componentNames().length);\\n for (let component_name of this.componentNames()) {\\n const component = new this._components_contructor(this.scene(), this._node);\\n let default_val;\\n if (CoreType.isArray(this._default_value)) {\\n default_val = this._default_value[index];\\n } else {\\n default_val = this._default_value[component_name];\\n }\\n component.options.copy(this.options);\\n component.setInitValue(default_val);\\n component.setName(`${this.name()}${component_name}`);\\n component.set_parent_param(this);\\n this._components[index] = component;\\n index++;\\n }\\n }\\n async processComputation() {\\n await this.compute_components();\\n this.set_value_from_components();\\n }\\n set_value_from_components() {\\n }\\n hasExpression() {\\n for (let c of this.components) {\\n if (c.expressionController?.active()) {\\n return true;\\n }\\n }\\n return false;\\n }\\n async compute_components() {\\n const components = this.components;\\n const promises = [];\\n for (let c of components) {\\n if (c.isDirty()) {\\n promises.push(c.compute());\\n }\\n }\\n await Promise.all(promises);\\n this.removeDirtyState();\\n }\\n _prefilter_invalid_raw_input(raw_input) {\\n if (!CoreType.isArray(raw_input)) {\\n const number_or_string = raw_input;\\n const raw_input_wrapped_in_array = this.componentNames().map(() => number_or_string);\\n return raw_input_wrapped_in_array;\\n } else {\\n return raw_input;\\n }\\n }\\n processRawInput() {\\n const cooker = this.scene().cooker;\\n cooker.block();\\n const components = this.components;\\n for (let c of components) {\\n c.emitController.blockParentEmit();\\n }\\n const value = this._raw_input;\\n let prev_value = 0;\\n if (CoreType.isArray(value)) {\\n for (let i = 0; i < components.length; i++) {\\n let component_value = value[i];\\n if (component_value == null) {\\n component_value = prev_value;\\n }\\n components[i].set(component_value);\\n prev_value = component_value;\\n }\\n } else {\\n for (let i = 0; i < components.length; i++) {\\n const component_name = this.componentNames()[i];\\n let component_value = value[component_name];\\n if (component_value == null) {\\n component_value = prev_value;\\n }\\n components[i].set(component_value);\\n prev_value = component_value;\\n }\\n }\\n cooker.unblock();\\n for (let i = 0; i < components.length; i++) {\\n components[i].emitController.unblockParentEmit();\\n }\\n this.emitController.emit(ParamEvent.VALUE_UPDATED);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/Color.ts\\nvar ColorConversion;\\n(function(ColorConversion2) {\\n ColorConversion2[\\\\\\\"NONE\\\\\\\"] = \\\\\\\"no conversion\\\\\\\";\\n ColorConversion2[\\\\\\\"GAMMA_TO_LINEAR\\\\\\\"] = \\\\\\\"gamma -> linear\\\\\\\";\\n ColorConversion2[\\\\\\\"LINEAR_TO_GAMMA\\\\\\\"] = \\\\\\\"linear -> gamma\\\\\\\";\\n ColorConversion2[\\\\\\\"SRGB_TO_LINEAR\\\\\\\"] = \\\\\\\"sRGB -> linear\\\\\\\";\\n ColorConversion2[\\\\\\\"LINEAR_TO_SRGB\\\\\\\"] = \\\\\\\"linear -> sRGB\\\\\\\";\\n})(ColorConversion || (ColorConversion = {}));\\nvar COLOR_CONVERSIONS = [\\n ColorConversion.NONE,\\n ColorConversion.GAMMA_TO_LINEAR,\\n ColorConversion.LINEAR_TO_GAMMA,\\n ColorConversion.SRGB_TO_LINEAR,\\n ColorConversion.LINEAR_TO_SRGB\\n];\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Color.ts\\nvar COMPONENT_NAMES_COLOR = [\\\\\\\"r\\\\\\\", \\\\\\\"g\\\\\\\", \\\\\\\"b\\\\\\\"];\\nvar ColorParam = class extends TypedMultipleParam {\\n constructor() {\\n super(...arguments);\\n this._value = new Color();\\n this._value_pre_conversion = new Color();\\n this._value_serialized_dirty = false;\\n this._value_serialized = [0, 0, 0];\\n this._value_pre_conversion_serialized = [0, 0, 0];\\n this._copied_value = [0, 0, 0];\\n }\\n static type() {\\n return ParamType.COLOR;\\n }\\n componentNames() {\\n return COMPONENT_NAMES_COLOR;\\n }\\n defaultValueSerialized() {\\n if (CoreType.isArray(this._default_value)) {\\n return this._default_value;\\n } else {\\n return this._default_value.toArray();\\n }\\n }\\n valueSerialized() {\\n this._update_value_serialized_if_required();\\n return this._value_serialized;\\n }\\n valuePreConversionSerialized() {\\n this._update_value_serialized_if_required();\\n return this._value_pre_conversion_serialized;\\n }\\n _copy_value(param) {\\n param.value.toArray(this._copied_value);\\n this.set(this._copied_value);\\n }\\n _clone_raw_input(raw_input) {\\n if (raw_input instanceof Color) {\\n return raw_input.clone();\\n } else {\\n const new_array = [raw_input[0], raw_input[1], raw_input[2]];\\n if (new_array[0] == null) {\\n new_array[0] = new_array[0] || 0;\\n }\\n if (new_array[1] == null) {\\n new_array[1] = new_array[1] || new_array[0];\\n }\\n if (new_array[2] == null) {\\n new_array[2] = new_array[2] || new_array[1];\\n }\\n return new_array;\\n }\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n if (raw_input1 instanceof Color) {\\n if (raw_input2 instanceof Color) {\\n return raw_input1.equals(raw_input2);\\n } else {\\n return raw_input1.r == raw_input2[0] && raw_input1.g == raw_input2[1] && raw_input1.b == raw_input2[2];\\n }\\n } else {\\n if (raw_input2 instanceof Color) {\\n return raw_input1[0] == raw_input2.r && raw_input1[1] == raw_input2.g && raw_input1[2] == raw_input2.b;\\n } else {\\n return raw_input1[0] == raw_input2[0] && raw_input1[1] == raw_input2[1] && raw_input1[2] == raw_input2[2];\\n }\\n }\\n }\\n static are_values_equal(val1, val2) {\\n return val1.equals(val2);\\n }\\n initComponents() {\\n super.initComponents();\\n this.r = this.components[0];\\n this.g = this.components[1];\\n this.b = this.components[2];\\n this._value_serialized_dirty = true;\\n }\\n _update_value_serialized_if_required() {\\n if (!this._value_serialized_dirty) {\\n return;\\n }\\n this._value_serialized[0] = this._value.r;\\n this._value_serialized[1] = this._value.g;\\n this._value_serialized[2] = this._value.b;\\n this._value_pre_conversion_serialized[0] = this._value_pre_conversion.r;\\n this._value_pre_conversion_serialized[1] = this._value_pre_conversion.g;\\n this._value_pre_conversion_serialized[2] = this._value_pre_conversion.b;\\n }\\n valuePreConversion() {\\n return this._value_pre_conversion;\\n }\\n set_value_from_components() {\\n this._value_pre_conversion.r = this.r.value;\\n this._value_pre_conversion.g = this.g.value;\\n this._value_pre_conversion.b = this.b.value;\\n this._value.copy(this._value_pre_conversion);\\n const conversion = this.options.colorConversion();\\n if (conversion != null && conversion != ColorConversion.NONE) {\\n switch (conversion) {\\n case ColorConversion.GAMMA_TO_LINEAR: {\\n this._value.convertGammaToLinear();\\n return;\\n }\\n case ColorConversion.LINEAR_TO_GAMMA: {\\n this._value.convertLinearToGamma();\\n return;\\n }\\n case ColorConversion.SRGB_TO_LINEAR: {\\n this._value.convertSRGBToLinear();\\n return;\\n }\\n case ColorConversion.LINEAR_TO_SRGB: {\\n this._value.convertLinearToSRGB();\\n return;\\n }\\n }\\n TypeAssert.unreachable(conversion);\\n }\\n this._value_serialized_dirty = true;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Folder.ts\\nvar FolderParam = class extends TypedParam {\\n static type() {\\n return ParamType.FOLDER;\\n }\\n defaultValueSerialized() {\\n return this._default_value;\\n }\\n rawInputSerialized() {\\n return this._raw_input;\\n }\\n valueSerialized() {\\n return this.value;\\n }\\n _copy_value(param) {\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n return true;\\n }\\n static are_values_equal(val1, val2) {\\n return true;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Integer.ts\\nvar IntegerParam = class extends TypedNumericParam {\\n static type() {\\n return ParamType.INTEGER;\\n }\\n defaultValueSerialized() {\\n return this._default_value;\\n }\\n rawInputSerialized() {\\n return this._raw_input;\\n }\\n valueSerialized() {\\n return this.value;\\n }\\n _copy_value(param) {\\n this.set(param.valueSerialized());\\n }\\n _prefilter_invalid_raw_input(raw_input) {\\n if (CoreType.isArray(raw_input)) {\\n return raw_input[0];\\n }\\n if (CoreType.isString(raw_input) && CoreString.isNumber(raw_input)) {\\n return parseInt(raw_input);\\n }\\n return raw_input;\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n return raw_input1 == raw_input2;\\n }\\n static are_values_equal(val1, val2) {\\n return val1 == val2;\\n }\\n static convert(raw_val) {\\n if (CoreType.isNumber(raw_val)) {\\n return Math.round(raw_val);\\n } else {\\n if (CoreType.isBoolean(raw_val)) {\\n return raw_val ? 1 : 0;\\n } else {\\n if (CoreString.isNumber(raw_val)) {\\n const parsed = parseInt(raw_val);\\n if (CoreType.isNumber(parsed)) {\\n return parsed;\\n }\\n }\\n }\\n return null;\\n }\\n }\\n convert(raw_val) {\\n const result = IntegerParam.convert(raw_val);\\n if (result) {\\n return this.options.ensureInRange(result);\\n } else {\\n return result;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/DecomposedPath.ts\\nvar DecomposedPath = class {\\n constructor() {\\n this._index = -1;\\n this._path_elements = [];\\n this._named_nodes = [];\\n this._graph_node_ids = [];\\n this._node_element_by_graph_node_id = new Map();\\n }\\n reset() {\\n this._index = -1;\\n this._path_elements = [];\\n this._named_nodes = [];\\n this._graph_node_ids = [];\\n this._node_element_by_graph_node_id.clear();\\n }\\n add_node(name, node) {\\n this._index += 1;\\n if (name == node.name()) {\\n this._named_nodes[this._index] = node;\\n }\\n this._graph_node_ids[this._index] = node.graphNodeId();\\n this._node_element_by_graph_node_id.set(node.graphNodeId(), name);\\n }\\n add_path_element(path_element) {\\n this._index += 1;\\n this._path_elements[this._index] = path_element;\\n }\\n named_graph_nodes() {\\n return this._named_nodes;\\n }\\n named_nodes() {\\n const nodes = [];\\n for (let graph_node of this._named_nodes) {\\n if (graph_node) {\\n const node = graph_node;\\n if (node.nameController) {\\n nodes.push(node);\\n }\\n }\\n }\\n return nodes;\\n }\\n update_from_name_change(node) {\\n const named_graph_node_ids = this._named_nodes.map((n) => n?.graphNodeId());\\n if (named_graph_node_ids.includes(node.graphNodeId())) {\\n this._node_element_by_graph_node_id.set(node.graphNodeId(), node.name());\\n }\\n }\\n to_path() {\\n const elements = new Array(this._index);\\n for (let i = 0; i <= this._index; i++) {\\n const node = this._named_nodes[i];\\n if (node) {\\n const node_name = this._node_element_by_graph_node_id.get(node.graphNodeId());\\n if (node_name) {\\n elements[i] = node_name;\\n }\\n } else {\\n const path_element = this._path_elements[i];\\n if (path_element) {\\n elements[i] = path_element;\\n }\\n }\\n }\\n let joined_path = elements.join(CoreWalker.SEPARATOR);\\n const first_char = joined_path[0];\\n if (first_char) {\\n if (!CoreWalker.NON_LETTER_PREFIXES.includes(first_char)) {\\n joined_path = `${CoreWalker.SEPARATOR}${joined_path}`;\\n }\\n }\\n return joined_path;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/_BasePath.ts\\nvar TypedPathParam = class extends TypedParam {\\n constructor() {\\n super(...arguments);\\n this.decomposed_path = new DecomposedPath();\\n }\\n _handleReferences(node, path) {\\n this.scene().referencesController.setNamedNodesFromParam(this);\\n if (node) {\\n this.scene().referencesController.setReferenceFromParam(this, node);\\n } else {\\n this.scene().missingExpressionReferencesController.register(this, path);\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/OperatorPath.ts\\nvar OperatorPathMode;\\n(function(OperatorPathMode2) {\\n OperatorPathMode2[\\\\\\\"NODE\\\\\\\"] = \\\\\\\"NODE\\\\\\\";\\n OperatorPathMode2[\\\\\\\"PARAM\\\\\\\"] = \\\\\\\"PARAM\\\\\\\";\\n})(OperatorPathMode || (OperatorPathMode = {}));\\nvar OperatorPathParam = class extends TypedPathParam {\\n constructor() {\\n super(...arguments);\\n this._found_node = null;\\n this._found_node_with_expected_type = null;\\n this._found_param = null;\\n this._found_param_with_expected_type = null;\\n }\\n static type() {\\n return ParamType.OPERATOR_PATH;\\n }\\n defaultValueSerialized() {\\n return this._default_value;\\n }\\n rawInputSerialized() {\\n return `${this._raw_input}`;\\n }\\n valueSerialized() {\\n return `${this.value}`;\\n }\\n _copy_value(param) {\\n this.set(param.valueSerialized());\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n return raw_input1 == raw_input2;\\n }\\n static are_values_equal(val1, val2) {\\n return val1 == val2;\\n }\\n isDefault() {\\n return this._value == this._default_value;\\n }\\n setNode(node) {\\n this.set(node.path());\\n }\\n processRawInput() {\\n if (this._value != this._raw_input) {\\n this._value = this._raw_input;\\n this.setDirty();\\n this.emitController.emit(ParamEvent.VALUE_UPDATED);\\n }\\n }\\n async processComputation() {\\n this.find_target();\\n }\\n find_target() {\\n if (!this.node) {\\n return;\\n }\\n const path = this._value;\\n let node = null;\\n let param = null;\\n const path_non_empty = path != null && path !== \\\\\\\"\\\\\\\";\\n const mode = this.options.paramSelectionOptions() ? OperatorPathMode.PARAM : OperatorPathMode.NODE;\\n this.scene().referencesController.resetReferenceFromParam(this);\\n this.decomposed_path.reset();\\n if (path_non_empty) {\\n if (mode == OperatorPathMode.PARAM) {\\n param = CoreWalker.findParam(this.node, path, this.decomposed_path);\\n } else {\\n node = CoreWalker.findNode(this.node, path, this.decomposed_path);\\n }\\n }\\n const current_found_entity = mode == OperatorPathMode.PARAM ? this._found_param : this._found_node;\\n const newly_found_entity = mode == OperatorPathMode.PARAM ? param : node;\\n this._handleReferences(node, path);\\n if (current_found_entity?.graphNodeId() !== newly_found_entity?.graphNodeId()) {\\n const dependent_on_found_node = this.options.dependentOnFoundNode();\\n if (this._found_node) {\\n if (dependent_on_found_node) {\\n this.removeGraphInput(this._found_node);\\n } else {\\n }\\n }\\n if (mode == OperatorPathMode.PARAM) {\\n this._found_param = param;\\n this._found_node = null;\\n } else {\\n this._found_node = node;\\n this._found_param = null;\\n }\\n if (node) {\\n this._assign_found_node(node);\\n }\\n if (param) {\\n this._assign_found_param(param);\\n }\\n this.options.executeCallback();\\n }\\n this.removeDirtyState();\\n }\\n _assign_found_node(node) {\\n const dependent_on_found_node = this.options.dependentOnFoundNode();\\n if (this._is_node_expected_context(node)) {\\n if (this._is_node_expected_type(node)) {\\n this._found_node_with_expected_type = node;\\n if (dependent_on_found_node) {\\n this.addGraphInput(node);\\n }\\n } else {\\n this.states.error.set(`node type is ${node.type()} but the params expects one of ${(this._expected_node_types() || []).join(\\\\\\\", \\\\\\\")}`);\\n }\\n } else {\\n this.states.error.set(`node context is ${node.context()} but the params expects a ${this._expected_context()}`);\\n }\\n }\\n _assign_found_param(param) {\\n if (this._is_param_expected_type(param)) {\\n this._found_param_with_expected_type = param;\\n } else {\\n this.states.error.set(`param type is ${param.type()} but the params expects a ${this._expected_param_type()}`);\\n }\\n }\\n found_node() {\\n return this._found_node;\\n }\\n found_param() {\\n return this._found_param;\\n }\\n found_node_with_context(context) {\\n return this._found_node_with_expected_type;\\n }\\n found_node_with_context_and_type(context, type_or_types) {\\n const node = this.found_node_with_context(context);\\n if (node) {\\n if (CoreType.isArray(type_or_types)) {\\n for (let type of type_or_types) {\\n if (node.type() == type) {\\n return node;\\n }\\n }\\n this.states.error.set(`expected node type to be ${type_or_types.join(\\\\\\\", \\\\\\\")}, but was instead ${node.type()}`);\\n } else {\\n const type = type_or_types;\\n if (node.type() == type) {\\n return node;\\n } else {\\n this.states.error.set(`expected node type to be ${type}, but was instead ${node.type()}`);\\n }\\n }\\n }\\n }\\n found_param_with_type(type) {\\n if (this._found_param_with_expected_type) {\\n return this._found_param_with_expected_type;\\n }\\n }\\n found_node_with_expected_type() {\\n return this._found_node_with_expected_type;\\n }\\n _expected_context() {\\n return this.options.nodeSelectionContext();\\n }\\n _is_node_expected_context(node) {\\n const expected_context = this._expected_context();\\n if (expected_context == null) {\\n return true;\\n }\\n const node_context = node.parent()?.childrenController?.context;\\n return expected_context == node_context;\\n }\\n _expected_node_types() {\\n return this.options.nodeSelectionTypes();\\n }\\n _expected_param_type() {\\n return this.options.paramSelectionType();\\n }\\n _is_node_expected_type(node) {\\n const expected_types = this._expected_node_types();\\n if (expected_types == null) {\\n return true;\\n }\\n return expected_types?.includes(node.type());\\n }\\n _is_param_expected_type(param) {\\n const expected_types = this._expected_node_types();\\n if (expected_types == null) {\\n return true;\\n }\\n return expected_types.includes(param.type());\\n }\\n notifyPathRebuildRequired(node) {\\n this.decomposed_path.update_from_name_change(node);\\n const new_path = this.decomposed_path.to_path();\\n this.set(new_path);\\n }\\n notifyTargetParamOwnerParamsUpdated(node) {\\n this.setDirty();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/ParamPath.ts\\nvar ParamPathParam = class extends TypedPathParam {\\n static type() {\\n return ParamType.PARAM_PATH;\\n }\\n initialize_param() {\\n this._value = new TypedParamPathParamValue();\\n }\\n defaultValueSerialized() {\\n return this._default_value;\\n }\\n rawInputSerialized() {\\n return `${this._raw_input}`;\\n }\\n valueSerialized() {\\n return `${this.value}`;\\n }\\n _copy_value(param) {\\n this.set(param.valueSerialized());\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n return raw_input1 == raw_input2;\\n }\\n static are_values_equal(val1, val2) {\\n return val1 == val2;\\n }\\n isDefault() {\\n return this._raw_input == this._default_value;\\n }\\n setParam(param) {\\n this.set(param.path());\\n }\\n processRawInput() {\\n if (this._value.path() != this._raw_input) {\\n this._value.set_path(this._raw_input);\\n this.find_target();\\n this.setDirty();\\n this.emitController.emit(ParamEvent.VALUE_UPDATED);\\n }\\n }\\n async processComputation() {\\n this.find_target();\\n }\\n find_target() {\\n if (!this.node) {\\n return;\\n }\\n const path = this._raw_input;\\n let param = null;\\n const path_non_empty = path != null && path !== \\\\\\\"\\\\\\\";\\n this.scene().referencesController.resetReferenceFromParam(this);\\n this.decomposed_path.reset();\\n if (path_non_empty) {\\n param = CoreWalker.findParam(this.node, path, this.decomposed_path);\\n }\\n const current_found_entity = this._value.param();\\n const newly_found_entity = param;\\n this._handleReferences(param, path);\\n if (current_found_entity?.graphNodeId() !== newly_found_entity?.graphNodeId()) {\\n const dependent_on_found_node = this.options.dependentOnFoundNode();\\n const previously_found_node = this._value.param();\\n if (previously_found_node) {\\n if (dependent_on_found_node) {\\n this.removeGraphInput(previously_found_node);\\n } else {\\n }\\n }\\n if (param) {\\n this._assign_found_node(param);\\n } else {\\n this._value.set_param(null);\\n }\\n this.options.executeCallback();\\n }\\n this.removeDirtyState();\\n }\\n _assign_found_node(param) {\\n const dependent_on_found_node = this.options.dependentOnFoundNode();\\n this._value.set_param(param);\\n if (dependent_on_found_node) {\\n this.addGraphInput(param);\\n }\\n }\\n notifyPathRebuildRequired(param) {\\n this.decomposed_path.update_from_name_change(param);\\n const new_path = this.decomposed_path.to_path();\\n this.set(new_path);\\n }\\n notifyTargetParamOwnerParamsUpdated(node) {\\n this.setDirty();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/NodePath.ts\\nvar NodePathParam = class extends TypedPathParam {\\n static type() {\\n return ParamType.NODE_PATH;\\n }\\n initialize_param() {\\n this._value = new TypedNodePathParamValue();\\n }\\n defaultValueSerialized() {\\n return this._default_value;\\n }\\n rawInputSerialized() {\\n return `${this._raw_input}`;\\n }\\n valueSerialized() {\\n return `${this.value}`;\\n }\\n _copy_value(param) {\\n this.set(param.valueSerialized());\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n return raw_input1 == raw_input2;\\n }\\n static are_values_equal(val1, val2) {\\n return val1 == val2;\\n }\\n isDefault() {\\n return this._raw_input == this._default_value;\\n }\\n setNode(node) {\\n this.set(node.path());\\n }\\n processRawInput() {\\n if (this._value.path() != this._raw_input) {\\n this._value.set_path(this._raw_input);\\n this._findTarget();\\n this.setDirty();\\n this.emitController.emit(ParamEvent.VALUE_UPDATED);\\n }\\n }\\n async processComputation() {\\n this._findTarget();\\n }\\n _findTarget() {\\n if (!this.node) {\\n return;\\n }\\n const path = this._raw_input;\\n let node = null;\\n const path_non_empty = path != null && path !== \\\\\\\"\\\\\\\";\\n this.scene().referencesController.resetReferenceFromParam(this);\\n this.decomposed_path.reset();\\n if (path_non_empty) {\\n node = CoreWalker.findNode(this.node, path, this.decomposed_path);\\n }\\n const current_found_entity = this._value.node();\\n const newly_found_entity = node;\\n this._handleReferences(node, path);\\n if (current_found_entity?.graphNodeId() !== newly_found_entity?.graphNodeId()) {\\n const dependent_on_found_node = this.options.dependentOnFoundNode();\\n const previously_found_node = this._value.node();\\n if (previously_found_node) {\\n if (dependent_on_found_node) {\\n this.removeGraphInput(previously_found_node);\\n } else {\\n }\\n }\\n if (node) {\\n this._assign_found_node(node);\\n } else {\\n this._value.set_node(null);\\n }\\n this.options.executeCallback();\\n }\\n if (path_non_empty && !node && this.scene().loadingController.loaded()) {\\n if (path_non_empty) {\\n this.states.error.set(`no node found at path '${path}'`);\\n }\\n }\\n this.removeDirtyState();\\n }\\n _assign_found_node(node) {\\n const dependent_on_found_node = this.options.dependentOnFoundNode();\\n if (this._isNodeExpectedContext(node)) {\\n if (this._is_node_expected_type(node)) {\\n this.states.error.clear();\\n this._value.set_node(node);\\n if (dependent_on_found_node) {\\n this.addGraphInput(node);\\n }\\n } else {\\n this.states.error.set(`node type is ${node.type()} but the params expects one of ${(this._expected_node_types() || []).join(\\\\\\\", \\\\\\\")}`);\\n }\\n } else {\\n this.states.error.set(`node context is ${node.context()} but the params expects a ${this._expectedContext()}`);\\n }\\n }\\n _expectedContext() {\\n return this.options.nodeSelectionContext();\\n }\\n _isNodeExpectedContext(node) {\\n const expected_context = this._expectedContext();\\n if (expected_context == null) {\\n return true;\\n }\\n const node_context = node.parent()?.childrenController?.context;\\n return expected_context == node_context;\\n }\\n _expected_node_types() {\\n return this.options.nodeSelectionTypes();\\n }\\n _is_node_expected_type(node) {\\n const expected_types = this._expected_node_types();\\n if (expected_types == null) {\\n return true;\\n }\\n return expected_types?.includes(node.type());\\n }\\n notifyPathRebuildRequired(node) {\\n this.decomposed_path.update_from_name_change(node);\\n const newPath = this.decomposed_path.to_path();\\n this.set(newPath);\\n }\\n notifyTargetParamOwnerParamsUpdated(node) {\\n this.setDirty();\\n }\\n};\\n\\n// ../../../node_modules/three/src/textures/DataTexture.js\\nvar DataTexture = class extends Texture {\\n constructor(data = null, width = 1, height = 1, format, type, mapping, wrapS, wrapT, magFilter = NearestFilter, minFilter = NearestFilter, anisotropy, encoding) {\\n super(null, mapping, wrapS, wrapT, magFilter, minFilter, format, type, anisotropy, encoding);\\n this.image = {data, width, height};\\n this.magFilter = magFilter;\\n this.minFilter = minFilter;\\n this.generateMipmaps = false;\\n this.flipY = false;\\n this.unpackAlignment = 1;\\n this.needsUpdate = true;\\n }\\n};\\nDataTexture.prototype.isDataTexture = true;\\n\\n// ../../../node_modules/three/src/math/Interpolant.js\\nvar Interpolant = class {\\n constructor(parameterPositions, sampleValues, sampleSize, resultBuffer) {\\n this.parameterPositions = parameterPositions;\\n this._cachedIndex = 0;\\n this.resultBuffer = resultBuffer !== void 0 ? resultBuffer : new sampleValues.constructor(sampleSize);\\n this.sampleValues = sampleValues;\\n this.valueSize = sampleSize;\\n this.settings = null;\\n this.DefaultSettings_ = {};\\n }\\n evaluate(t) {\\n const pp = this.parameterPositions;\\n let i1 = this._cachedIndex, t1 = pp[i1], t0 = pp[i1 - 1];\\n validate_interval: {\\n seek: {\\n let right;\\n linear_scan: {\\n forward_scan:\\n if (!(t < t1)) {\\n for (let giveUpAt = i1 + 2; ; ) {\\n if (t1 === void 0) {\\n if (t < t0)\\n break forward_scan;\\n i1 = pp.length;\\n this._cachedIndex = i1;\\n return this.afterEnd_(i1 - 1, t, t0);\\n }\\n if (i1 === giveUpAt)\\n break;\\n t0 = t1;\\n t1 = pp[++i1];\\n if (t < t1) {\\n break seek;\\n }\\n }\\n right = pp.length;\\n break linear_scan;\\n }\\n if (!(t >= t0)) {\\n const t1global = pp[1];\\n if (t < t1global) {\\n i1 = 2;\\n t0 = t1global;\\n }\\n for (let giveUpAt = i1 - 2; ; ) {\\n if (t0 === void 0) {\\n this._cachedIndex = 0;\\n return this.beforeStart_(0, t, t1);\\n }\\n if (i1 === giveUpAt)\\n break;\\n t1 = t0;\\n t0 = pp[--i1 - 1];\\n if (t >= t0) {\\n break seek;\\n }\\n }\\n right = i1;\\n i1 = 0;\\n break linear_scan;\\n }\\n break validate_interval;\\n }\\n while (i1 < right) {\\n const mid = i1 + right >>> 1;\\n if (t < pp[mid]) {\\n right = mid;\\n } else {\\n i1 = mid + 1;\\n }\\n }\\n t1 = pp[i1];\\n t0 = pp[i1 - 1];\\n if (t0 === void 0) {\\n this._cachedIndex = 0;\\n return this.beforeStart_(0, t, t1);\\n }\\n if (t1 === void 0) {\\n i1 = pp.length;\\n this._cachedIndex = i1;\\n return this.afterEnd_(i1 - 1, t0, t);\\n }\\n }\\n this._cachedIndex = i1;\\n this.intervalChanged_(i1, t0, t1);\\n }\\n return this.interpolate_(i1, t0, t, t1);\\n }\\n getSettings_() {\\n return this.settings || this.DefaultSettings_;\\n }\\n copySampleValue_(index) {\\n const result = this.resultBuffer, values = this.sampleValues, stride = this.valueSize, offset = index * stride;\\n for (let i = 0; i !== stride; ++i) {\\n result[i] = values[offset + i];\\n }\\n return result;\\n }\\n interpolate_() {\\n throw new Error(\\\\\\\"call to abstract method\\\\\\\");\\n }\\n intervalChanged_() {\\n }\\n};\\nInterpolant.prototype.beforeStart_ = Interpolant.prototype.copySampleValue_;\\nInterpolant.prototype.afterEnd_ = Interpolant.prototype.copySampleValue_;\\n\\n// ../../../node_modules/three/src/math/interpolants/CubicInterpolant.js\\nvar CubicInterpolant = class extends Interpolant {\\n constructor(parameterPositions, sampleValues, sampleSize, resultBuffer) {\\n super(parameterPositions, sampleValues, sampleSize, resultBuffer);\\n this._weightPrev = -0;\\n this._offsetPrev = -0;\\n this._weightNext = -0;\\n this._offsetNext = -0;\\n this.DefaultSettings_ = {\\n endingStart: ZeroCurvatureEnding,\\n endingEnd: ZeroCurvatureEnding\\n };\\n }\\n intervalChanged_(i1, t0, t1) {\\n const pp = this.parameterPositions;\\n let iPrev = i1 - 2, iNext = i1 + 1, tPrev = pp[iPrev], tNext = pp[iNext];\\n if (tPrev === void 0) {\\n switch (this.getSettings_().endingStart) {\\n case ZeroSlopeEnding:\\n iPrev = i1;\\n tPrev = 2 * t0 - t1;\\n break;\\n case WrapAroundEnding:\\n iPrev = pp.length - 2;\\n tPrev = t0 + pp[iPrev] - pp[iPrev + 1];\\n break;\\n default:\\n iPrev = i1;\\n tPrev = t1;\\n }\\n }\\n if (tNext === void 0) {\\n switch (this.getSettings_().endingEnd) {\\n case ZeroSlopeEnding:\\n iNext = i1;\\n tNext = 2 * t1 - t0;\\n break;\\n case WrapAroundEnding:\\n iNext = 1;\\n tNext = t1 + pp[1] - pp[0];\\n break;\\n default:\\n iNext = i1 - 1;\\n tNext = t0;\\n }\\n }\\n const halfDt = (t1 - t0) * 0.5, stride = this.valueSize;\\n this._weightPrev = halfDt / (t0 - tPrev);\\n this._weightNext = halfDt / (tNext - t1);\\n this._offsetPrev = iPrev * stride;\\n this._offsetNext = iNext * stride;\\n }\\n interpolate_(i1, t0, t, t1) {\\n const result = this.resultBuffer, values = this.sampleValues, stride = this.valueSize, o1 = i1 * stride, o0 = o1 - stride, oP = this._offsetPrev, oN = this._offsetNext, wP = this._weightPrev, wN = this._weightNext, p = (t - t0) / (t1 - t0), pp = p * p, ppp = pp * p;\\n const sP = -wP * ppp + 2 * wP * pp - wP * p;\\n const s0 = (1 + wP) * ppp + (-1.5 - 2 * wP) * pp + (-0.5 + wP) * p + 1;\\n const s1 = (-1 - wN) * ppp + (1.5 + wN) * pp + 0.5 * p;\\n const sN = wN * ppp - wN * pp;\\n for (let i = 0; i !== stride; ++i) {\\n result[i] = sP * values[oP + i] + s0 * values[o0 + i] + s1 * values[o1 + i] + sN * values[oN + i];\\n }\\n return result;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/ramp/RampValue.ts\\nvar RampPoint = class {\\n constructor(_position3 = 0, _value = 0) {\\n this._position = _position3;\\n this._value = _value;\\n }\\n toJSON() {\\n return {\\n position: this._position,\\n value: this._value\\n };\\n }\\n position() {\\n return this._position;\\n }\\n value() {\\n return this._value;\\n }\\n copy(point) {\\n this._position = point.position();\\n this._value = point.value();\\n }\\n clone() {\\n const point = new RampPoint();\\n point.copy(this);\\n return point;\\n }\\n isEqual(other_point) {\\n return this._position == other_point.position() && this._value == other_point.value();\\n }\\n isEqualJSON(json) {\\n return this._position == json.position && this._value == json.value;\\n }\\n fromJSON(json) {\\n this._position = json.position;\\n this._value = json.value;\\n }\\n static areEqualJSON(json1, json2) {\\n return json1.position == json2.position && json1.value == json2.value;\\n }\\n static fromJSON(json) {\\n return new RampPoint(json.position, json.value);\\n }\\n};\\nvar RampInterpolation;\\n(function(RampInterpolation2) {\\n RampInterpolation2[\\\\\\\"LINEAR\\\\\\\"] = \\\\\\\"linear\\\\\\\";\\n})(RampInterpolation || (RampInterpolation = {}));\\nvar RampValue = class {\\n constructor(_interpolation = RampInterpolation.LINEAR, _points2 = []) {\\n this._interpolation = _interpolation;\\n this._points = _points2;\\n this._uuid = generateUUID();\\n }\\n uuid() {\\n return this._uuid;\\n }\\n interpolation() {\\n return this._interpolation;\\n }\\n points() {\\n return this._points;\\n }\\n static fromJSON(json) {\\n const points2 = [];\\n for (let jsonPoint of json.points) {\\n points2.push(RampPoint.fromJSON(jsonPoint));\\n }\\n return new RampValue(json.interpolation, points2);\\n }\\n toJSON() {\\n return {\\n interpolation: this._interpolation,\\n points: this._points.map((p) => p.toJSON())\\n };\\n }\\n clone() {\\n const ramp = new RampValue();\\n ramp.copy(this);\\n return ramp;\\n }\\n copy(ramp) {\\n this._interpolation = ramp.interpolation();\\n let index = 0;\\n for (let point of ramp.points()) {\\n const current_point = this._points[index];\\n if (current_point) {\\n current_point.copy(point);\\n } else {\\n this._points.push(point.clone());\\n }\\n index += 1;\\n }\\n }\\n is_equal(other_ramp_value) {\\n if (this._interpolation != other_ramp_value.interpolation()) {\\n return false;\\n }\\n const other_points = other_ramp_value.points();\\n if (this._points.length != other_points.length) {\\n return false;\\n }\\n let index = 0;\\n for (let point of this._points) {\\n const other_point = other_points[index];\\n if (!point.isEqual(other_point)) {\\n return false;\\n }\\n index += 1;\\n }\\n return true;\\n }\\n is_equal_json(json) {\\n if (this._interpolation != json.interpolation) {\\n return false;\\n }\\n if (this._points.length != json.points.length) {\\n return false;\\n }\\n let index = 0;\\n for (let point of this._points) {\\n const other_point = json.points[index];\\n if (!point.isEqualJSON(other_point)) {\\n return false;\\n }\\n index += 1;\\n }\\n return true;\\n }\\n static are_json_equal(json1, json2) {\\n if (json1.interpolation != json2.interpolation) {\\n return false;\\n }\\n if (json1.points.length != json2.points.length) {\\n return false;\\n }\\n let index = 0;\\n for (let point1 of json1.points) {\\n const point2 = json2.points[index];\\n if (!RampPoint.areEqualJSON(point1, point2)) {\\n return false;\\n }\\n index += 1;\\n }\\n return true;\\n }\\n from_json(json) {\\n this._interpolation = json.interpolation;\\n let index = 0;\\n for (let json_point of json.points) {\\n const current_point = this._points[index];\\n if (current_point) {\\n current_point.fromJSON(json_point);\\n } else {\\n this._points.push(RampPoint.fromJSON(json_point));\\n }\\n index += 1;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Ramp.ts\\nvar TEXTURE_WIDTH = 1024;\\nvar TEXTURE_HEIGHT = 1;\\nvar TEXTURE_SIZE = TEXTURE_WIDTH * TEXTURE_HEIGHT;\\nvar TEXTURE_BYTES_MULT = 255;\\nvar RampParam2 = class extends TypedParam {\\n constructor() {\\n super(...arguments);\\n this._texture_data = new Uint8Array(3 * TEXTURE_SIZE);\\n this._ramp_texture = new DataTexture(this._texture_data, TEXTURE_WIDTH, TEXTURE_HEIGHT, RGBFormat);\\n }\\n static type() {\\n return ParamType.RAMP;\\n }\\n defaultValueSerialized() {\\n if (this._default_value instanceof RampValue) {\\n return this._default_value.toJSON();\\n } else {\\n return this._default_value;\\n }\\n }\\n _clone_raw_input(raw_input) {\\n if (raw_input instanceof RampValue) {\\n return raw_input.clone();\\n } else {\\n return RampValue.fromJSON(raw_input).toJSON();\\n }\\n }\\n rawInputSerialized() {\\n if (this._raw_input instanceof RampValue) {\\n return this._raw_input.toJSON();\\n } else {\\n return RampValue.fromJSON(this._raw_input).toJSON();\\n }\\n }\\n valueSerialized() {\\n return this.value.toJSON();\\n }\\n _copy_value(param) {\\n this.set(param.valueSerialized());\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n if (raw_input1 instanceof RampValue) {\\n if (raw_input2 instanceof RampValue) {\\n return raw_input1.is_equal(raw_input2);\\n } else {\\n return raw_input1.is_equal_json(raw_input2);\\n }\\n } else {\\n if (raw_input2 instanceof RampValue) {\\n return raw_input2.is_equal_json(raw_input1);\\n } else {\\n return RampValue.are_json_equal(raw_input1, raw_input2);\\n }\\n }\\n }\\n static are_values_equal(val1, val2) {\\n return val1.is_equal(val2);\\n }\\n isDefault() {\\n if (this._default_value instanceof RampValue) {\\n return this.value.is_equal(this._default_value);\\n } else {\\n return this.value.is_equal_json(this._default_value);\\n }\\n }\\n processRawInput() {\\n if (this._raw_input instanceof RampValue) {\\n if (!this._value) {\\n this._value = this._raw_input;\\n } else {\\n this._value.copy(this._raw_input);\\n }\\n } else {\\n if (!this._value) {\\n this._value = RampValue.fromJSON(this._raw_input);\\n } else {\\n this._value.from_json(this._raw_input);\\n }\\n }\\n this._resetRampInterpolant();\\n this._updateRampTexture();\\n this.options.executeCallback();\\n this.emitController.emit(ParamEvent.VALUE_UPDATED);\\n this.setSuccessorsDirty(this);\\n }\\n hasExpression() {\\n return false;\\n }\\n _resetRampInterpolant() {\\n this._ramp_interpolant = void 0;\\n }\\n rampTexture() {\\n return this._ramp_texture;\\n }\\n _updateRampTexture() {\\n this._updateRampTextureData();\\n this.rampTexture().needsUpdate = true;\\n }\\n _updateRampTextureData() {\\n let stride = 0;\\n let position = 0;\\n let value = 0;\\n for (var i = 0; i < TEXTURE_SIZE; i++) {\\n stride = i * 3;\\n position = i / TEXTURE_WIDTH;\\n value = this.valueAtPosition(position);\\n if (value <= 0) {\\n this._texture_data[stride + 0] = (clamp(value, -1, 0) + 1) * TEXTURE_BYTES_MULT;\\n this._texture_data[stride + 1] = 0;\\n this._texture_data[stride + 2] = 0;\\n } else {\\n if (value <= 1) {\\n this._texture_data[stride + 0] = TEXTURE_BYTES_MULT;\\n this._texture_data[stride + 1] = clamp(value, 0, 1) * TEXTURE_BYTES_MULT;\\n this._texture_data[stride + 2] = 0;\\n } else {\\n this._texture_data[stride + 0] = TEXTURE_BYTES_MULT;\\n this._texture_data[stride + 1] = TEXTURE_BYTES_MULT;\\n this._texture_data[stride + 2] = (clamp(value, 1, 2) - 1) * TEXTURE_BYTES_MULT;\\n }\\n }\\n }\\n }\\n static createInterpolant(positions, values) {\\n const valuesCount = 1;\\n const interpolatedValues = new Float32Array(valuesCount);\\n return new CubicInterpolant(positions, values, valuesCount, interpolatedValues);\\n }\\n interpolant() {\\n return this._ramp_interpolant = this._ramp_interpolant || this._createInterpolant();\\n }\\n _createInterpolant() {\\n const points2 = this.value.points();\\n const sortedPoints = ArrayUtils.sortBy(points2, (point) => point.position());\\n const positions = new Float32Array(sortedPoints.length);\\n const values = new Float32Array(sortedPoints.length);\\n let i = 0;\\n for (let sortedPoint of sortedPoints) {\\n positions[i] = sortedPoint.position();\\n values[i] = sortedPoint.value();\\n i++;\\n }\\n return RampParam2.createInterpolant(positions, values);\\n }\\n valueAtPosition(position) {\\n return this.interpolant().evaluate(position)[0];\\n }\\n};\\nvar RampParam = RampParam2;\\nRampParam.DEFAULT_VALUE = new RampValue(RampInterpolation.LINEAR, [new RampPoint(0, 0), new RampPoint(1, 1)]);\\nRampParam.DEFAULT_VALUE_JSON = RampParam2.DEFAULT_VALUE.toJSON();\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/String.ts\\nvar StringParam = class extends TypedParam {\\n static type() {\\n return ParamType.STRING;\\n }\\n defaultValueSerialized() {\\n return this._default_value;\\n }\\n _clone_raw_input(raw_input) {\\n return `${raw_input}`;\\n }\\n rawInputSerialized() {\\n return `${this._raw_input}`;\\n }\\n valueSerialized() {\\n return `${this.value}`;\\n }\\n _copy_value(param) {\\n this.set(param.value);\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n return raw_input1 == raw_input2;\\n }\\n static are_values_equal(val1, val2) {\\n return val1 == val2;\\n }\\n isDefault() {\\n return this._raw_input == this._default_value;\\n }\\n convert(raw_val) {\\n if (CoreType.isString(raw_val)) {\\n return raw_val;\\n }\\n return `${raw_val}`;\\n }\\n rawInput() {\\n return this._raw_input;\\n }\\n processRawInput() {\\n this.states.error.clear();\\n if (this._value_elements(this._raw_input).length >= 3) {\\n this._expression_controller = this._expression_controller || new ExpressionController(this);\\n if (this._raw_input != this._expression_controller.expression()) {\\n this._expression_controller.set_expression(this._raw_input);\\n this.setDirty();\\n this.emitController.emit(ParamEvent.EXPRESSION_UPDATED);\\n }\\n } else {\\n if (this._raw_input != this._value) {\\n this._value = this._raw_input;\\n this.removeDirtyState();\\n this.setSuccessorsDirty(this);\\n this.emitController.emit(ParamEvent.VALUE_UPDATED);\\n this.options.executeCallback();\\n if (this._expression_controller) {\\n this._expression_controller.set_expression(void 0, false);\\n this.emitController.emit(ParamEvent.EXPRESSION_UPDATED);\\n }\\n }\\n }\\n }\\n async processComputation() {\\n if (this.expressionController?.active() && !this.expressionController.requires_entities()) {\\n const expression_result = await this.expressionController.computeExpression();\\n if (this.expressionController.is_errored()) {\\n this.states.error.set(`expression error: ${this.expressionController.error_message()}`);\\n } else {\\n const converted = this.convert(expression_result);\\n if (converted != null) {\\n this._value = converted;\\n this.emitController.emit(ParamEvent.VALUE_UPDATED);\\n this.options.executeCallback();\\n } else {\\n this.states.error.set(`expression returns an invalid type (${expression_result})`);\\n }\\n this.removeDirtyState();\\n }\\n }\\n }\\n _value_elements(v) {\\n return ParsedTree.string_value_elements(v);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Vector2.ts\\nvar COMPONENT_NAMES_VECTOR2 = [\\\\\\\"x\\\\\\\", \\\\\\\"y\\\\\\\"];\\nvar Vector2Param = class extends TypedMultipleParam {\\n constructor() {\\n super(...arguments);\\n this._value = new Vector2();\\n this._copied_value = [0, 0];\\n }\\n static type() {\\n return ParamType.VECTOR2;\\n }\\n componentNames() {\\n return COMPONENT_NAMES_VECTOR2;\\n }\\n defaultValueSerialized() {\\n if (CoreType.isArray(this._default_value)) {\\n return this._default_value;\\n } else {\\n return this._default_value.toArray();\\n }\\n }\\n valueSerialized() {\\n return this.value.toArray();\\n }\\n _copy_value(param) {\\n param.value.toArray(this._copied_value);\\n this.set(this._copied_value);\\n }\\n _clone_raw_input(raw_input) {\\n if (raw_input instanceof Vector2) {\\n return raw_input.clone();\\n } else {\\n const new_array = [raw_input[0], raw_input[1]];\\n if (new_array[0] == null) {\\n new_array[0] = new_array[0] || 0;\\n }\\n if (new_array[1] == null) {\\n new_array[1] = new_array[1] || new_array[0];\\n }\\n return new_array;\\n }\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n if (raw_input1 instanceof Vector2) {\\n if (raw_input2 instanceof Vector2) {\\n return raw_input1.equals(raw_input2);\\n } else {\\n return raw_input1.x == raw_input2[0] && raw_input1.y == raw_input2[1];\\n }\\n } else {\\n if (raw_input2 instanceof Vector2) {\\n return raw_input1[0] == raw_input2.x && raw_input1[1] == raw_input2.y;\\n } else {\\n return raw_input1[0] == raw_input2[0] && raw_input1[1] == raw_input2[1];\\n }\\n }\\n }\\n static are_values_equal(val1, val2) {\\n return val1.equals(val2);\\n }\\n initComponents() {\\n super.initComponents();\\n this.x = this.components[0];\\n this.y = this.components[1];\\n }\\n set_value_from_components() {\\n this._value.x = this.x.value;\\n this._value.y = this.y.value;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Vector3.ts\\nvar COMPONENT_NAMES_VECTOR3 = [\\\\\\\"x\\\\\\\", \\\\\\\"y\\\\\\\", \\\\\\\"z\\\\\\\"];\\nvar Vector3Param = class extends TypedMultipleParam {\\n constructor() {\\n super(...arguments);\\n this._value = new Vector3();\\n this._copied_value = [0, 0, 0];\\n }\\n static type() {\\n return ParamType.VECTOR3;\\n }\\n componentNames() {\\n return COMPONENT_NAMES_VECTOR3;\\n }\\n defaultValueSerialized() {\\n if (CoreType.isArray(this._default_value)) {\\n return this._default_value;\\n } else {\\n return this._default_value.toArray();\\n }\\n }\\n valueSerialized() {\\n return this.value.toArray();\\n }\\n _copy_value(param) {\\n param.value.toArray(this._copied_value);\\n this.set(this._copied_value);\\n }\\n _clone_raw_input(raw_input) {\\n if (raw_input instanceof Vector3) {\\n return raw_input.clone();\\n } else {\\n const new_array = [raw_input[0], raw_input[1], raw_input[2]];\\n if (new_array[0] == null) {\\n new_array[0] = new_array[0] || 0;\\n }\\n if (new_array[1] == null) {\\n new_array[1] = new_array[1] || new_array[0];\\n }\\n if (new_array[2] == null) {\\n new_array[2] = new_array[2] || new_array[1];\\n }\\n return new_array;\\n }\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n if (raw_input1 instanceof Vector3) {\\n if (raw_input2 instanceof Vector3) {\\n return raw_input1.equals(raw_input2);\\n } else {\\n return raw_input1.x == raw_input2[0] && raw_input1.y == raw_input2[1] && raw_input1.z == raw_input2[2];\\n }\\n } else {\\n if (raw_input2 instanceof Vector3) {\\n return raw_input1[0] == raw_input2.x && raw_input1[1] == raw_input2.y && raw_input1[2] == raw_input2.z;\\n } else {\\n return raw_input1[0] == raw_input2[0] && raw_input1[1] == raw_input2[1] && raw_input1[2] == raw_input2[2];\\n }\\n }\\n }\\n static are_values_equal(val1, val2) {\\n return val1.equals(val2);\\n }\\n initComponents() {\\n super.initComponents();\\n this.x = this.components[0];\\n this.y = this.components[1];\\n this.z = this.components[2];\\n }\\n set_value_from_components() {\\n this._value.x = this.x.value;\\n this._value.y = this.y.value;\\n this._value.z = this.z.value;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/Vector4.ts\\nvar COMPONENT_NAMES_VECTOR4 = [\\\\\\\"x\\\\\\\", \\\\\\\"y\\\\\\\", \\\\\\\"z\\\\\\\", \\\\\\\"w\\\\\\\"];\\nvar Vector4Param = class extends TypedMultipleParam {\\n constructor() {\\n super(...arguments);\\n this._value = new Vector4();\\n this._copied_value = [0, 0, 0, 0];\\n }\\n static type() {\\n return ParamType.VECTOR4;\\n }\\n componentNames() {\\n return COMPONENT_NAMES_VECTOR4;\\n }\\n defaultValueSerialized() {\\n if (CoreType.isArray(this._default_value)) {\\n return this._default_value;\\n } else {\\n return this._default_value.toArray();\\n }\\n }\\n valueSerialized() {\\n return this.value.toArray();\\n }\\n _copy_value(param) {\\n param.value.toArray(this._copied_value);\\n this.set(this._copied_value);\\n }\\n _clone_raw_input(raw_input) {\\n if (raw_input instanceof Vector4) {\\n return raw_input.clone();\\n } else {\\n const new_array = [raw_input[0], raw_input[1], raw_input[2], raw_input[3]];\\n if (new_array[0] == null) {\\n new_array[0] = new_array[0] || 0;\\n }\\n if (new_array[1] == null) {\\n new_array[1] = new_array[1] || new_array[0];\\n }\\n if (new_array[2] == null) {\\n new_array[2] = new_array[2] || new_array[1];\\n }\\n if (new_array[3] == null) {\\n new_array[3] = new_array[3] || new_array[2];\\n }\\n return new_array;\\n }\\n }\\n static are_raw_input_equal(raw_input1, raw_input2) {\\n if (raw_input1 instanceof Vector4) {\\n if (raw_input2 instanceof Vector4) {\\n return raw_input1.equals(raw_input2);\\n } else {\\n return raw_input1.x == raw_input2[0] && raw_input1.y == raw_input2[1] && raw_input1.z == raw_input2[2] && raw_input1.w == raw_input2[3];\\n }\\n } else {\\n if (raw_input2 instanceof Vector4) {\\n return raw_input1[0] == raw_input2.x && raw_input1[1] == raw_input2.y && raw_input1[2] == raw_input2.z && raw_input1[3] == raw_input2.w;\\n } else {\\n return raw_input1[0] == raw_input2[0] && raw_input1[1] == raw_input2[1] && raw_input1[2] == raw_input2[2] && raw_input1[3] == raw_input2[3];\\n }\\n }\\n }\\n static are_values_equal(val1, val2) {\\n return val1.equals(val2);\\n }\\n initComponents() {\\n super.initComponents();\\n this.x = this.components[0];\\n this.y = this.components[1];\\n this.z = this.components[2];\\n this.w = this.components[3];\\n }\\n set_value_from_components() {\\n this._value.x = this.x.value;\\n this._value.y = this.y.value;\\n this._value.z = this.z.value;\\n this._value.w = this.w.value;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/params/types/ParamConstructorByType.ts\\nvar ParamConstructorByType = {\\n [ParamType.BOOLEAN]: BooleanParam,\\n [ParamType.BUTTON]: ButtonParam,\\n [ParamType.COLOR]: ColorParam,\\n [ParamType.FLOAT]: FloatParam,\\n [ParamType.FOLDER]: FolderParam,\\n [ParamType.INTEGER]: IntegerParam,\\n [ParamType.OPERATOR_PATH]: OperatorPathParam,\\n [ParamType.PARAM_PATH]: ParamPathParam,\\n [ParamType.NODE_PATH]: NodePathParam,\\n [ParamType.RAMP]: RampParam,\\n [ParamType.STRING]: StringParam,\\n [ParamType.VECTOR2]: Vector2Param,\\n [ParamType.VECTOR3]: Vector3Param,\\n [ParamType.VECTOR4]: Vector4Param\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/params/ParamsLabelController.ts\\nvar ParamsLabelController = class {\\n dispose() {\\n this._callback = void 0;\\n }\\n params() {\\n return this._params;\\n }\\n callback() {\\n return this._callback;\\n }\\n init(params, callback) {\\n this._params = params;\\n if (callback) {\\n this._callback = callback;\\n } else {\\n const param = this._params[0];\\n switch (param.type()) {\\n case ParamType.STRING:\\n return this._handle_string_param(param);\\n case ParamType.OPERATOR_PATH:\\n return this._handle_operator_path_param(param);\\n case ParamType.NODE_PATH:\\n return this._handle_node_path_param(param);\\n case ParamType.PARAM_PATH:\\n return this._handle_param_path_param(param);\\n case ParamType.FLOAT:\\n return this._handle_number_param(param);\\n case ParamType.INTEGER:\\n return this._handle_number_param(param);\\n }\\n }\\n }\\n _handle_string_param(param) {\\n this._callback = () => {\\n return param.value;\\n };\\n }\\n _handle_operator_path_param(param) {\\n this._callback = () => {\\n return param.value;\\n };\\n }\\n _handle_node_path_param(param) {\\n this._callback = () => {\\n return param.value.path();\\n };\\n }\\n _handle_param_path_param(param) {\\n this._callback = () => {\\n return param.value.path();\\n };\\n }\\n _handle_number_param(param) {\\n this._callback = () => {\\n return `${param.value}`;\\n };\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/params/ParamsController.ts\\nvar NODE_SIMPLE_NAME = \\\\\\\"params\\\\\\\";\\nvar ParamsController = class {\\n constructor(node) {\\n this.node = node;\\n this._param_create_mode = false;\\n this._params_created = false;\\n this._params_by_name = {};\\n this._params_list = [];\\n this._param_names = [];\\n this._non_spare_params = [];\\n this._spare_params = [];\\n this._non_spare_param_names = [];\\n this._spare_param_names = [];\\n this._params_added_since_last_params_eval = false;\\n }\\n get label() {\\n return this._label_controller = this._label_controller || new ParamsLabelController();\\n }\\n hasLabelController() {\\n return this._label_controller != null;\\n }\\n dispose() {\\n if (this._params_node) {\\n this._params_node.dispose();\\n }\\n for (let param of this.all) {\\n param.dispose();\\n }\\n this._post_create_params_hook_names = void 0;\\n this._post_create_params_hooks = void 0;\\n this._on_scene_load_hooks = void 0;\\n this._on_scene_load_hook_names = void 0;\\n this._label_controller?.dispose();\\n }\\n initDependencyNode() {\\n if (!this._params_node) {\\n this._params_node = new CoreGraphNode(this.node.scene(), NODE_SIMPLE_NAME);\\n this.node.addGraphInput(this._params_node, false);\\n }\\n }\\n init() {\\n this.initDependencyNode();\\n this._param_create_mode = true;\\n this._initFromParamsConfig();\\n this.node.createParams();\\n this._postCreateParams();\\n }\\n _postCreateParams() {\\n this._updateCaches();\\n this._initParamAccessors();\\n this._param_create_mode = false;\\n this._params_created = true;\\n this._runPostCreateParamsHooks();\\n }\\n postCreateSpareParams() {\\n this._updateCaches();\\n this._initParamAccessors();\\n this.node.scene().referencesController.notifyParamsUpdated(this.node);\\n this.node.emit(NodeEvent.PARAMS_UPDATED);\\n }\\n updateParams(options) {\\n let has_created_a_param = false;\\n let has_deleted_a_param = false;\\n if (options.namesToDelete) {\\n for (let param_name of options.namesToDelete) {\\n if (this.has(param_name)) {\\n this._deleteParam(param_name);\\n has_deleted_a_param = true;\\n }\\n }\\n }\\n if (options.toAdd) {\\n for (let param_data of options.toAdd) {\\n const param = this.addParam(param_data.type, param_data.name, param_data.init_value, param_data.options);\\n if (param) {\\n if (param_data.raw_input != null) {\\n param.set(param_data.raw_input);\\n }\\n has_created_a_param = true;\\n }\\n }\\n }\\n if (has_deleted_a_param || has_created_a_param) {\\n this.postCreateSpareParams();\\n }\\n }\\n _initFromParamsConfig() {\\n const paramsConfig = this.node.paramsConfig;\\n let init_values_used = false;\\n if (paramsConfig) {\\n for (let name of Object.keys(paramsConfig)) {\\n const config = paramsConfig[name];\\n let init_value;\\n if (this.node.params_init_value_overrides) {\\n init_value = this.node.params_init_value_overrides[name];\\n init_values_used = true;\\n }\\n this.addParam(config.type, name, config.init_value, config.options, init_value);\\n }\\n }\\n if (init_values_used) {\\n this.node.setDirty();\\n }\\n this.node.params_init_value_overrides = void 0;\\n }\\n _initParamAccessors() {\\n let current_names_in_accessor = Object.getOwnPropertyNames(this.node.pv);\\n this._removeUnneededAccessors(current_names_in_accessor);\\n current_names_in_accessor = Object.getOwnPropertyNames(this.node.pv);\\n for (let param of this.all) {\\n const is_spare = param.options.isSpare();\\n const param_not_yet_in_accessors = !current_names_in_accessor.includes(param.name());\\n if (param_not_yet_in_accessors || is_spare) {\\n Object.defineProperty(this.node.pv, param.name(), {\\n get: () => {\\n return param.value;\\n },\\n configurable: is_spare\\n });\\n Object.defineProperty(this.node.p, param.name(), {\\n get: () => {\\n return param;\\n },\\n configurable: is_spare\\n });\\n }\\n }\\n }\\n _removeUnneededAccessors(current_names_in_accessor) {\\n const current_param_names = this._param_names;\\n const names_to_remove = [];\\n for (let current_name_in_accessor of current_names_in_accessor) {\\n if (!current_param_names.includes(current_name_in_accessor)) {\\n names_to_remove.push(current_name_in_accessor);\\n }\\n }\\n for (let name_to_remove of names_to_remove) {\\n Object.defineProperty(this.node.pv, name_to_remove, {\\n get: () => {\\n return void 0;\\n },\\n configurable: true\\n });\\n Object.defineProperty(this.node.p, name_to_remove, {\\n get: () => {\\n return void 0;\\n },\\n configurable: true\\n });\\n }\\n }\\n get params_node() {\\n return this._params_node;\\n }\\n get all() {\\n return this._params_list;\\n }\\n get non_spare() {\\n return this._non_spare_params;\\n }\\n get spare() {\\n return this._spare_params;\\n }\\n get names() {\\n return this._param_names;\\n }\\n get non_spare_names() {\\n return this._non_spare_param_names;\\n }\\n get spare_names() {\\n return this._spare_param_names;\\n }\\n set_with_type(param_name, value, type) {\\n const param = this.param_with_type(param_name, type);\\n if (param) {\\n param.set(value);\\n } else {\\n Poly.warn(`param ${param_name} not found with type ${type}`);\\n }\\n }\\n set_float(param_name, value) {\\n this.set_with_type(param_name, value, ParamType.FLOAT);\\n }\\n set_vector3(param_name, value) {\\n this.set_with_type(param_name, value, ParamType.VECTOR3);\\n }\\n has_param(param_name) {\\n return this._params_by_name[param_name] != null;\\n }\\n has(param_name) {\\n return this.has_param(param_name);\\n }\\n get(param_name) {\\n return this.param(param_name);\\n }\\n param_with_type(param_name, type) {\\n const param = this.param(param_name);\\n if (param && param.type() == type) {\\n return param;\\n }\\n }\\n get_float(param_name) {\\n return this.param_with_type(param_name, ParamType.FLOAT);\\n }\\n get_operator_path(param_name) {\\n return this.param_with_type(param_name, ParamType.OPERATOR_PATH);\\n }\\n value(param_name) {\\n return this.param(param_name)?.value;\\n }\\n value_with_type(param_name, type) {\\n return this.param_with_type(param_name, type)?.value;\\n }\\n boolean(param_name) {\\n return this.value_with_type(param_name, ParamType.BOOLEAN);\\n }\\n float(param_name) {\\n return this.value_with_type(param_name, ParamType.FLOAT);\\n }\\n integer(param_name) {\\n return this.value_with_type(param_name, ParamType.INTEGER);\\n }\\n string(param_name) {\\n return this.value_with_type(param_name, ParamType.STRING);\\n }\\n vector2(param_name) {\\n return this.value_with_type(param_name, ParamType.VECTOR2);\\n }\\n vector3(param_name) {\\n return this.value_with_type(param_name, ParamType.VECTOR3);\\n }\\n color(param_name) {\\n return this.value_with_type(param_name, ParamType.COLOR);\\n }\\n param(param_name) {\\n const p = this._params_by_name[param_name];\\n if (p != null) {\\n return p;\\n } else {\\n Poly.warn(`tried to access param '${param_name}' in node ${this.node.path()}, but existing params are: ${this.names} on node ${this.node.path()}`);\\n return null;\\n }\\n }\\n _deleteParam(param_name) {\\n const param = this._params_by_name[param_name];\\n if (param) {\\n if (this._params_node) {\\n this._params_node.removeGraphInput(this._params_by_name[param_name]);\\n }\\n param._setupNodeDependencies(null);\\n delete this._params_by_name[param_name];\\n if (param.isMultiple() && param.components) {\\n for (let component of param.components) {\\n const child_name = component.name();\\n delete this._params_by_name[child_name];\\n }\\n }\\n } else {\\n throw new Error(`param '${param_name}' does not exist on node ${this.node.path()}`);\\n }\\n }\\n addParam(type, param_name, default_value, options = {}, init_data) {\\n const is_spare = options[\\\\\\\"spare\\\\\\\"] || false;\\n if (this._param_create_mode === false && !is_spare) {\\n Poly.warn(`node ${this.node.path()} (${this.node.type()}) param '${param_name}' cannot be created outside of create_params`);\\n }\\n if (this.node.scene() == null) {\\n Poly.warn(`node ${this.node.path()} (${this.node.type()}) has no scene assigned`);\\n }\\n const constructor = ParamConstructorByType[type];\\n if (constructor != null) {\\n const existing_param = this._params_by_name[param_name];\\n if (existing_param) {\\n if (is_spare) {\\n if (existing_param.type() != type) {\\n this._deleteParam(existing_param.name());\\n }\\n } else {\\n Poly.warn(`a param named ${param_name} already exists`, this.node);\\n }\\n }\\n const param = new constructor(this.node.scene(), this.node);\\n param.options.set(options);\\n param.setName(param_name);\\n param.setInitValue(default_value);\\n param.initComponents();\\n if (init_data == null) {\\n param.set(default_value);\\n } else {\\n if (param.options.isExpressionForEntities()) {\\n param.set(default_value);\\n }\\n if (init_data.raw_input != null) {\\n param.set(init_data.raw_input);\\n } else {\\n if (init_data.simple_data != null) {\\n param.set(init_data.simple_data);\\n } else {\\n if (init_data.complex_data != null) {\\n const raw_input = init_data.complex_data.raw_input;\\n if (raw_input) {\\n param.set(raw_input);\\n } else {\\n param.set(default_value);\\n }\\n const overriden_options = init_data.complex_data.overriden_options;\\n if (overriden_options != null) {\\n const keys = Object.keys(overriden_options);\\n for (let key of keys) {\\n param.options.setOption(key, overriden_options[key]);\\n }\\n }\\n }\\n }\\n }\\n }\\n param._setupNodeDependencies(this.node);\\n this._params_by_name[param.name()] = param;\\n if (param.isMultiple() && param.components) {\\n for (let component of param.components) {\\n this._params_by_name[component.name()] = component;\\n }\\n }\\n this._params_added_since_last_params_eval = true;\\n return param;\\n }\\n }\\n _updateCaches() {\\n this._params_list = Object.values(this._params_by_name);\\n this._param_names = Object.keys(this._params_by_name);\\n this._non_spare_params = Object.values(this._params_by_name).filter((p) => !p.options.isSpare());\\n this._spare_params = Object.values(this._params_by_name).filter((p) => p.options.isSpare());\\n this._non_spare_param_names = Object.values(this._params_by_name).filter((p) => !p.options.isSpare()).map((p) => p.name());\\n this._spare_param_names = Object.values(this._params_by_name).filter((p) => p.options.isSpare()).map((p) => p.name());\\n }\\n async _evalParam(param) {\\n if (param.isDirty()) {\\n await param.compute();\\n if (param.states.error.active()) {\\n this.node.states.error.set(`param '${param.name()}' error: ${param.states.error.message()}`);\\n }\\n } else {\\n }\\n }\\n async evalParams(params) {\\n const promises = [];\\n for (let param of params) {\\n if (param.isDirty()) {\\n promises.push(this._evalParam(param));\\n }\\n }\\n await Promise.all(promises);\\n if (this.node.states.error.active()) {\\n this.node._setContainer(null);\\n }\\n }\\n paramsEvalRequired() {\\n return this._params_node != null && (this._params_node.isDirty() || this._params_added_since_last_params_eval);\\n }\\n async evalAll() {\\n if (this.paramsEvalRequired()) {\\n await this.evalParams(this._params_list);\\n this._params_node?.removeDirtyState();\\n this._params_added_since_last_params_eval = false;\\n }\\n }\\n onParamsCreated(hook_name, hook) {\\n if (this._params_created) {\\n hook();\\n } else {\\n if (this._post_create_params_hook_names && this._post_create_params_hook_names.includes(hook_name)) {\\n Poly.error(`hook name ${hook_name} already exists`);\\n return;\\n }\\n this._post_create_params_hook_names = this._post_create_params_hook_names || [];\\n this._post_create_params_hook_names.push(hook_name);\\n this._post_create_params_hooks = this._post_create_params_hooks || [];\\n this._post_create_params_hooks.push(hook);\\n }\\n }\\n addOnSceneLoadHook(param_name, method) {\\n this._on_scene_load_hook_names = this._on_scene_load_hook_names || [];\\n this._on_scene_load_hooks = this._on_scene_load_hooks || [];\\n if (!this._on_scene_load_hook_names.includes(param_name)) {\\n this._on_scene_load_hook_names.push(param_name);\\n this._on_scene_load_hooks.push(method);\\n } else {\\n Poly.warn(`hook with name ${param_name} already exists`, this.node);\\n }\\n }\\n _runPostCreateParamsHooks() {\\n if (this._post_create_params_hooks) {\\n for (let hook of this._post_create_params_hooks) {\\n hook();\\n }\\n }\\n }\\n runOnSceneLoadHooks() {\\n if (this._on_scene_load_hooks) {\\n for (let hook of this._on_scene_load_hooks) {\\n hook();\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/params/ParamsValueAccessor.ts\\nvar ParamsValueAccessor = class {\\n constructor() {\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/NodeConnection.ts\\nvar TypedNodeConnection2 = class {\\n constructor(_node_src, _node_dest, _output_index = 0, _input_index = 0) {\\n this._node_src = _node_src;\\n this._node_dest = _node_dest;\\n this._output_index = _output_index;\\n this._input_index = _input_index;\\n if (this._output_index == null) {\\n throw \\\\\\\"bad output index\\\\\\\";\\n }\\n if (this._input_index == null) {\\n throw \\\\\\\"bad input index\\\\\\\";\\n }\\n this._id = TypedNodeConnection2._next_id++;\\n if (this._node_src.io.connections && this._node_dest.io.connections) {\\n this._node_src.io.connections.addOutputConnection(this);\\n this._node_dest.io.connections.addInputConnection(this);\\n }\\n }\\n get id() {\\n return this._id;\\n }\\n get node_src() {\\n return this._node_src;\\n }\\n get node_dest() {\\n return this._node_dest;\\n }\\n get output_index() {\\n return this._output_index;\\n }\\n get input_index() {\\n return this._input_index;\\n }\\n src_connection_point() {\\n const node_src = this._node_src;\\n const output_index = this._output_index;\\n return node_src.io.outputs.namedOutputConnectionPoints()[output_index];\\n }\\n dest_connection_point() {\\n const node_dest = this._node_dest;\\n const input_index = this._input_index;\\n return node_dest.io.inputs.namedInputConnectionPoints()[input_index];\\n }\\n disconnect(options = {}) {\\n if (this._node_src.io.connections && this._node_dest.io.connections) {\\n this._node_src.io.connections.removeOutputConnection(this);\\n this._node_dest.io.connections.removeInputConnection(this);\\n }\\n if (options.setInput === true) {\\n this._node_dest.io.inputs.setInput(this._input_index, null);\\n }\\n }\\n};\\nvar TypedNodeConnection = TypedNodeConnection2;\\nTypedNodeConnection._next_id = 0;\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/utils/ClonedStatesController.ts\\nvar ClonedStatesController2 = class {\\n constructor(inputs_controller) {\\n this.inputs_controller = inputs_controller;\\n this._clone_required_states = [];\\n this._overridden = false;\\n this.node = inputs_controller.node;\\n }\\n initInputsClonedState(states) {\\n if (CoreType.isArray(states)) {\\n this._cloned_states = states;\\n } else {\\n this._cloned_state = states;\\n }\\n this._update_clone_required_state();\\n }\\n overrideClonedStateAllowed() {\\n if (this._cloned_states) {\\n for (let state of this._cloned_states) {\\n if (state == InputCloneMode.FROM_NODE) {\\n return true;\\n }\\n }\\n }\\n if (this._cloned_state) {\\n return this._cloned_state == InputCloneMode.FROM_NODE;\\n }\\n return false;\\n }\\n cloneRequiredState(index) {\\n return this._clone_required_states[index];\\n }\\n cloneRequiredStates() {\\n return this._clone_required_states;\\n }\\n _get_clone_required_state(index) {\\n const states = this._cloned_states;\\n if (states) {\\n const state = states[index];\\n if (state != null) {\\n return this.clone_required_from_state(state);\\n }\\n }\\n if (this._cloned_state) {\\n return this.clone_required_from_state(this._cloned_state);\\n }\\n return true;\\n }\\n clone_required_from_state(state) {\\n switch (state) {\\n case InputCloneMode.ALWAYS:\\n return true;\\n case InputCloneMode.NEVER:\\n return false;\\n case InputCloneMode.FROM_NODE:\\n return !this._overridden;\\n }\\n return TypeAssert.unreachable(state);\\n }\\n overrideClonedState(state) {\\n this._overridden = state;\\n this._update_clone_required_state();\\n this.node.emit(NodeEvent.OVERRIDE_CLONABLE_STATE_UPDATE);\\n this.node.setDirty();\\n }\\n overriden() {\\n return this._overridden;\\n }\\n _update_clone_required_state() {\\n if (this._cloned_states) {\\n const states = [];\\n for (let i = 0; i < this._cloned_states.length; i++) {\\n states[i] = this._get_clone_required_state(i);\\n }\\n this._clone_required_states = states;\\n return;\\n }\\n if (this._cloned_state) {\\n const max_inputs = this.inputs_controller.maxInputsCount();\\n const states = [];\\n for (let i = 0; i < max_inputs; i++) {\\n states[i] = this._get_clone_required_state(i);\\n }\\n this._clone_required_states = states;\\n return;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/InputsController.ts\\nvar MAX_INPUTS_COUNT_UNSET = 0;\\nvar InputsController2 = class {\\n constructor(node) {\\n this.node = node;\\n this._graph_node_inputs = [];\\n this._inputs = [];\\n this._has_named_inputs = false;\\n this._minInputsCount = 0;\\n this._maxInputsCount = MAX_INPUTS_COUNT_UNSET;\\n this._maxInputsCountOnInput = MAX_INPUTS_COUNT_UNSET;\\n this._depends_on_inputs = true;\\n }\\n dispose() {\\n if (this._graph_node) {\\n this._graph_node.dispose();\\n }\\n for (let graph_node of this._graph_node_inputs) {\\n if (graph_node) {\\n graph_node.dispose();\\n }\\n }\\n this._on_update_hooks = void 0;\\n this._on_update_hook_names = void 0;\\n }\\n set_depends_on_inputs(depends_on_inputs) {\\n this._depends_on_inputs = depends_on_inputs;\\n }\\n setMinCount(minInputsCount) {\\n this._minInputsCount = minInputsCount;\\n }\\n minCount() {\\n return this._minInputsCount;\\n }\\n setMaxCount(maxInputsCount) {\\n if (this._maxInputsCount == MAX_INPUTS_COUNT_UNSET) {\\n this._maxInputsCountOnInput = maxInputsCount;\\n }\\n this._maxInputsCount = maxInputsCount;\\n this._initGraphNodeInputs();\\n }\\n namedInputConnectionPointsByName(name) {\\n if (this._named_input_connection_points) {\\n for (let connection_point of this._named_input_connection_points) {\\n if (connection_point && connection_point.name() == name) {\\n return connection_point;\\n }\\n }\\n }\\n }\\n setNamedInputConnectionPoints(connection_points) {\\n this._has_named_inputs = true;\\n const connections = this.node.io.connections.inputConnections();\\n if (connections) {\\n for (let connection of connections) {\\n if (connection) {\\n if (connection.input_index >= connection_points.length) {\\n connection.disconnect({setInput: true});\\n }\\n }\\n }\\n }\\n this._named_input_connection_points = connection_points;\\n this.setMinCount(0);\\n this.setMaxCount(connection_points.length);\\n this._initGraphNodeInputs();\\n this.node.emit(NodeEvent.NAMED_INPUTS_UPDATED);\\n }\\n hasNamedInputs() {\\n return this._has_named_inputs;\\n }\\n namedInputConnectionPoints() {\\n return this._named_input_connection_points || [];\\n }\\n _initGraphNodeInputs() {\\n for (let i = 0; i < this._maxInputsCount; i++) {\\n this._graph_node_inputs[i] = this._graph_node_inputs[i] || this._createGraphNodeInput(i);\\n }\\n }\\n _createGraphNodeInput(index) {\\n const graph_input_node = new CoreGraphNode(this.node.scene(), `input_${index}`);\\n if (!this._graph_node) {\\n this._graph_node = new CoreGraphNode(this.node.scene(), \\\\\\\"inputs\\\\\\\");\\n this.node.addGraphInput(this._graph_node, false);\\n }\\n this._graph_node.addGraphInput(graph_input_node, false);\\n return graph_input_node;\\n }\\n maxInputsCount() {\\n return this._maxInputsCount || 0;\\n }\\n maxInputsCountOverriden() {\\n return this._maxInputsCount != this._maxInputsCountOnInput;\\n }\\n inputGraphNode(input_index) {\\n return this._graph_node_inputs[input_index];\\n }\\n setCount(min, max) {\\n if (max == null) {\\n max = min;\\n }\\n this.setMinCount(min);\\n this.setMaxCount(max);\\n this._initConnectionControllerInputs();\\n }\\n _initConnectionControllerInputs() {\\n this.node.io.connections.initInputs();\\n }\\n is_any_input_dirty() {\\n return this._graph_node?.isDirty() || false;\\n }\\n async containers_without_evaluation() {\\n const containers = [];\\n for (let i = 0; i < this._inputs.length; i++) {\\n const input_node = this._inputs[i];\\n let container = void 0;\\n if (input_node) {\\n container = await input_node.compute();\\n }\\n containers.push(container);\\n }\\n return containers;\\n }\\n existing_input_indices() {\\n const existing_input_indices = [];\\n if (this._maxInputsCount > 0) {\\n for (let i = 0; i < this._inputs.length; i++) {\\n if (this._inputs[i]) {\\n existing_input_indices.push(i);\\n }\\n }\\n }\\n return existing_input_indices;\\n }\\n async eval_required_inputs() {\\n let containers = [];\\n if (this._maxInputsCount > 0) {\\n const existing_input_indices = this.existing_input_indices();\\n if (existing_input_indices.length < this._minInputsCount) {\\n this.node.states.error.set(\\\\\\\"inputs are missing\\\\\\\");\\n } else {\\n if (existing_input_indices.length > 0) {\\n const promises = [];\\n let input;\\n for (let i = 0; i < this._inputs.length; i++) {\\n input = this._inputs[i];\\n if (input) {\\n promises.push(this.eval_required_input(i));\\n }\\n }\\n containers = await Promise.all(promises);\\n this._graph_node?.removeDirtyState();\\n }\\n }\\n }\\n return containers;\\n }\\n async eval_required_input(input_index) {\\n let container = void 0;\\n const input_node = this.input(input_index);\\n if (input_node) {\\n container = await input_node.compute();\\n this._graph_node_inputs[input_index].removeDirtyState();\\n }\\n if (container && container.coreContent()) {\\n } else {\\n const input_node2 = this.input(input_index);\\n if (input_node2) {\\n const input_error_message = input_node2.states.error.message();\\n if (input_error_message) {\\n this.node.states.error.set(`input ${input_index} is invalid (error: ${input_error_message})`);\\n }\\n }\\n }\\n return container;\\n }\\n get_named_input_index(name) {\\n if (this._named_input_connection_points) {\\n for (let i = 0; i < this._named_input_connection_points.length; i++) {\\n if (this._named_input_connection_points[i]?.name() == name) {\\n return i;\\n }\\n }\\n }\\n return -1;\\n }\\n get_input_index(input_index_or_name) {\\n if (CoreType.isString(input_index_or_name)) {\\n if (this.hasNamedInputs()) {\\n return this.get_named_input_index(input_index_or_name);\\n } else {\\n throw new Error(`node ${this.node.path()} has no named inputs`);\\n }\\n } else {\\n return input_index_or_name;\\n }\\n }\\n setInput(input_index_or_name, node, output_index_or_name = 0) {\\n const input_index = this.get_input_index(input_index_or_name) || 0;\\n if (input_index < 0) {\\n const message = `invalid input (${input_index_or_name}) for node ${this.node.path()}`;\\n console.warn(message);\\n throw new Error(message);\\n }\\n let output_index = 0;\\n if (node) {\\n if (node.io.outputs.hasNamedOutputs()) {\\n output_index = node.io.outputs.getOutputIndex(output_index_or_name);\\n if (output_index == null || output_index < 0) {\\n const connection_points = node.io.outputs.namedOutputConnectionPoints();\\n const names = connection_points.map((cp) => cp.name());\\n console.warn(`node ${node.path()} does not have an output named ${output_index_or_name}. inputs are: ${names.join(\\\\\\\", \\\\\\\")}`);\\n return;\\n }\\n }\\n }\\n const graph_input_node = this._graph_node_inputs[input_index];\\n if (graph_input_node == null) {\\n const message = `graph_input_node not found at index ${input_index}`;\\n console.warn(message);\\n throw new Error(message);\\n }\\n if (node && this.node.parent() != node.parent()) {\\n return;\\n }\\n const old_input_node = this._inputs[input_index];\\n let old_output_index = null;\\n let old_connection = void 0;\\n if (this.node.io.connections) {\\n old_connection = this.node.io.connections.inputConnection(input_index);\\n }\\n if (old_connection) {\\n old_output_index = old_connection.output_index;\\n }\\n if (node !== old_input_node || output_index != old_output_index) {\\n if (old_input_node != null) {\\n if (this._depends_on_inputs) {\\n graph_input_node.removeGraphInput(old_input_node);\\n }\\n }\\n if (node != null) {\\n if (graph_input_node.addGraphInput(node)) {\\n if (!this._depends_on_inputs) {\\n graph_input_node.removeGraphInput(node);\\n }\\n if (old_connection) {\\n old_connection.disconnect({setInput: false});\\n }\\n this._inputs[input_index] = node;\\n new TypedNodeConnection(node, this.node, output_index, input_index);\\n } else {\\n console.warn(`cannot connect ${node.path()} to ${this.node.path()}`);\\n }\\n } else {\\n this._inputs[input_index] = null;\\n if (old_connection) {\\n old_connection.disconnect({setInput: false});\\n }\\n }\\n this._run_on_set_input_hooks();\\n graph_input_node.setSuccessorsDirty();\\n this.node.emit(NodeEvent.INPUTS_UPDATED);\\n }\\n }\\n remove_input(node) {\\n const inputs = this.inputs();\\n let input;\\n for (let i = 0; i < inputs.length; i++) {\\n input = inputs[i];\\n if (input != null && node != null) {\\n if (input.graphNodeId() === node.graphNodeId()) {\\n this.setInput(i, null);\\n }\\n }\\n }\\n }\\n input(input_index) {\\n return this._inputs[input_index];\\n }\\n named_input(input_name) {\\n if (this.hasNamedInputs()) {\\n const input_index = this.get_input_index(input_name);\\n return this._inputs[input_index];\\n } else {\\n return null;\\n }\\n }\\n named_input_connection_point(input_name) {\\n if (this.hasNamedInputs() && this._named_input_connection_points) {\\n const input_index = this.get_input_index(input_name);\\n return this._named_input_connection_points[input_index];\\n }\\n }\\n has_named_input(name) {\\n return this.get_named_input_index(name) >= 0;\\n }\\n has_input(input_index) {\\n return this._inputs[input_index] != null;\\n }\\n inputs() {\\n return this._inputs;\\n }\\n initInputsClonedState(states) {\\n if (!this._cloned_states_controller) {\\n this._cloned_states_controller = new ClonedStatesController2(this);\\n this._cloned_states_controller.initInputsClonedState(states);\\n }\\n }\\n overrideClonedStateAllowed() {\\n return this._cloned_states_controller?.overrideClonedStateAllowed() || false;\\n }\\n overrideClonedState(state) {\\n this._cloned_states_controller?.overrideClonedState(state);\\n }\\n clonedStateOverriden() {\\n return this._cloned_states_controller?.overriden() || false;\\n }\\n cloneRequired(index) {\\n const state = this._cloned_states_controller?.cloneRequiredState(index);\\n if (state != null) {\\n return state;\\n }\\n return true;\\n }\\n cloneRequiredStates() {\\n const states = this._cloned_states_controller?.cloneRequiredStates();\\n if (states != null) {\\n return states;\\n }\\n return true;\\n }\\n add_on_set_input_hook(name, hook) {\\n this._on_update_hooks = this._on_update_hooks || [];\\n this._on_update_hook_names = this._on_update_hook_names || [];\\n if (!this._on_update_hook_names.includes(name)) {\\n this._on_update_hooks.push(hook);\\n this._on_update_hook_names.push(name);\\n } else {\\n console.warn(`hook with name ${name} already exists`, this.node);\\n }\\n }\\n _run_on_set_input_hooks() {\\n if (this._on_update_hooks) {\\n for (let hook of this._on_update_hooks) {\\n hook();\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/OutputsController.ts\\nvar OutputsController = class {\\n constructor(node) {\\n this.node = node;\\n this._has_outputs = false;\\n this._has_named_outputs = false;\\n }\\n setHasOneOutput() {\\n this._has_outputs = true;\\n }\\n setHasNoOutput() {\\n this._has_outputs = false;\\n }\\n hasOutputs() {\\n return this._has_outputs;\\n }\\n hasNamedOutputs() {\\n return this._has_named_outputs;\\n }\\n hasNamedOutput(name) {\\n return this.getNamedOutputIndex(name) >= 0;\\n }\\n namedOutputConnectionPoints() {\\n return this._named_output_connection_points || [];\\n }\\n namedOutputConnection(index) {\\n if (this._named_output_connection_points) {\\n return this._named_output_connection_points[index];\\n }\\n }\\n getNamedOutputIndex(name) {\\n if (this._named_output_connection_points) {\\n for (let i = 0; i < this._named_output_connection_points.length; i++) {\\n if (this._named_output_connection_points[i]?.name() == name) {\\n return i;\\n }\\n }\\n }\\n return -1;\\n }\\n getOutputIndex(output_index_or_name) {\\n if (output_index_or_name != null) {\\n if (CoreType.isString(output_index_or_name)) {\\n if (this.hasNamedOutputs()) {\\n return this.getNamedOutputIndex(output_index_or_name);\\n } else {\\n console.warn(`node ${this.node.path()} has no named outputs`);\\n return -1;\\n }\\n } else {\\n return output_index_or_name;\\n }\\n }\\n return -1;\\n }\\n namedOutputConnectionPointsByName(name) {\\n if (this._named_output_connection_points) {\\n for (let connection_point of this._named_output_connection_points) {\\n if (connection_point?.name() == name) {\\n return connection_point;\\n }\\n }\\n }\\n }\\n setNamedOutputConnectionPoints(connection_points, set_dirty = true) {\\n this._has_named_outputs = true;\\n const connections = this.node.io.connections.outputConnections();\\n if (connections) {\\n for (let connection of connections) {\\n if (connection) {\\n if (connection.output_index >= connection_points.length) {\\n connection.disconnect({setInput: true});\\n }\\n }\\n }\\n }\\n this._named_output_connection_points = connection_points;\\n if (set_dirty && this.node.scene()) {\\n this.node.setDirty(this.node);\\n }\\n this.node.emit(NodeEvent.NAMED_OUTPUTS_UPDATED);\\n }\\n used_output_names() {\\n const connections_controller = this.node.io.connections;\\n if (connections_controller) {\\n const output_connections = connections_controller.outputConnections();\\n let output_indices = output_connections.map((connection) => connection ? connection.output_index : null);\\n output_indices = ArrayUtils.uniq(output_indices);\\n const used_output_indices = [];\\n output_indices.forEach((index) => {\\n if (CoreType.isNumber(index)) {\\n used_output_indices.push(index);\\n }\\n });\\n const used_output_names = [];\\n for (let index of used_output_indices) {\\n const name = this.namedOutputConnectionPoints()[index]?.name();\\n if (name) {\\n used_output_names.push(name);\\n }\\n }\\n return used_output_names;\\n } else {\\n return [];\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/ConnectionsController.ts\\nvar ConnectionsController = class {\\n constructor(_node) {\\n this._node = _node;\\n this._output_connections = new Map();\\n }\\n initInputs() {\\n const count = this._node.io.inputs.maxInputsCount();\\n this._input_connections = this._input_connections || new Array(count);\\n while (this._input_connections.length < count) {\\n this._input_connections.push(void 0);\\n }\\n }\\n addInputConnection(connection) {\\n if (this._input_connections) {\\n this._input_connections[connection.input_index] = connection;\\n } else {\\n console.warn(`input connections array not initialized`);\\n }\\n }\\n removeInputConnection(connection) {\\n if (this._input_connections) {\\n if (connection.input_index < this._input_connections.length) {\\n this._input_connections[connection.input_index] = void 0;\\n let all_connections_after_are_undefined = true;\\n for (let i = connection.input_index; i < this._input_connections.length; i++) {\\n if (this._input_connections[i]) {\\n all_connections_after_are_undefined = false;\\n }\\n }\\n if (all_connections_after_are_undefined) {\\n this._input_connections = this._input_connections.slice(0, connection.input_index);\\n }\\n } else {\\n console.warn(`attempt to remove an input connection at index ${connection.input_index}`);\\n }\\n } else {\\n console.warn(`input connections array not initialized`);\\n }\\n }\\n inputConnection(index) {\\n if (this._input_connections) {\\n return this._input_connections[index];\\n }\\n }\\n firstInputConnection() {\\n if (this._input_connections) {\\n return ArrayUtils.compact(this._input_connections)[0];\\n } else {\\n return null;\\n }\\n }\\n inputConnections() {\\n return this._input_connections;\\n }\\n existingInputConnections() {\\n const current_connections = this._input_connections;\\n if (current_connections) {\\n while (current_connections.length > 1 && current_connections[current_connections.length - 1] === void 0) {\\n current_connections.pop();\\n }\\n }\\n return current_connections;\\n }\\n addOutputConnection(connection) {\\n const output_index = connection.output_index;\\n const id = connection.id;\\n let connections_by_id = this._output_connections.get(output_index);\\n if (!connections_by_id) {\\n connections_by_id = new Map();\\n this._output_connections.set(output_index, connections_by_id);\\n }\\n connections_by_id.set(id, connection);\\n }\\n removeOutputConnection(connection) {\\n const output_index = connection.output_index;\\n const id = connection.id;\\n let connections_by_id = this._output_connections.get(output_index);\\n if (connections_by_id) {\\n connections_by_id.delete(id);\\n }\\n }\\n outputConnections() {\\n let list = [];\\n this._output_connections.forEach((connections_by_id, output_index) => {\\n connections_by_id.forEach((connection, id) => {\\n if (connection) {\\n list.push(connection);\\n }\\n });\\n });\\n return list;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/SavedConnectionPointsDataController.ts\\nvar SavedConnectionPointsDataController = class {\\n constructor(_node) {\\n this._node = _node;\\n }\\n set_in(data) {\\n this._in = data;\\n }\\n set_out(data) {\\n this._out = data;\\n }\\n clear() {\\n this._in = void 0;\\n this._out = void 0;\\n }\\n in() {\\n return this._in;\\n }\\n out() {\\n return this._out;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/connections/_Base.ts\\nvar BaseConnectionPoint = class {\\n constructor(_name, _type, _init_value) {\\n this._name = _name;\\n this._type = _type;\\n this._init_value = _init_value;\\n }\\n get init_value() {\\n return this._init_value;\\n }\\n name() {\\n return this._name;\\n }\\n type() {\\n return this._type;\\n }\\n are_types_matched(src_type, dest_type) {\\n return true;\\n }\\n toJSON() {\\n return this._json = this._json || this._create_json();\\n }\\n _create_json() {\\n return {\\n name: this._name,\\n type: this._type\\n };\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/connections/Gl.ts\\nvar GlConnectionPointType;\\n(function(GlConnectionPointType2) {\\n GlConnectionPointType2[\\\\\\\"BOOL\\\\\\\"] = \\\\\\\"bool\\\\\\\";\\n GlConnectionPointType2[\\\\\\\"INT\\\\\\\"] = \\\\\\\"int\\\\\\\";\\n GlConnectionPointType2[\\\\\\\"FLOAT\\\\\\\"] = \\\\\\\"float\\\\\\\";\\n GlConnectionPointType2[\\\\\\\"VEC2\\\\\\\"] = \\\\\\\"vec2\\\\\\\";\\n GlConnectionPointType2[\\\\\\\"VEC3\\\\\\\"] = \\\\\\\"vec3\\\\\\\";\\n GlConnectionPointType2[\\\\\\\"VEC4\\\\\\\"] = \\\\\\\"vec4\\\\\\\";\\n GlConnectionPointType2[\\\\\\\"SAMPLER_2D\\\\\\\"] = \\\\\\\"sampler2D\\\\\\\";\\n GlConnectionPointType2[\\\\\\\"SSS_MODEL\\\\\\\"] = \\\\\\\"SSSModel\\\\\\\";\\n})(GlConnectionPointType || (GlConnectionPointType = {}));\\nvar GL_CONNECTION_POINT_TYPES = [\\n GlConnectionPointType.BOOL,\\n GlConnectionPointType.INT,\\n GlConnectionPointType.FLOAT,\\n GlConnectionPointType.VEC2,\\n GlConnectionPointType.VEC3,\\n GlConnectionPointType.VEC4\\n];\\nvar GlConnectionPointTypeToParamTypeMap = {\\n [GlConnectionPointType.BOOL]: ParamType.BOOLEAN,\\n [GlConnectionPointType.INT]: ParamType.INTEGER,\\n [GlConnectionPointType.FLOAT]: ParamType.FLOAT,\\n [GlConnectionPointType.VEC2]: ParamType.VECTOR2,\\n [GlConnectionPointType.VEC3]: ParamType.VECTOR3,\\n [GlConnectionPointType.VEC4]: ParamType.VECTOR4,\\n [GlConnectionPointType.SAMPLER_2D]: ParamType.RAMP,\\n [GlConnectionPointType.SSS_MODEL]: ParamType.STRING\\n};\\nvar GLParamTypeToConnectionPointTypeMap = {\\n [ParamType.BOOLEAN]: GlConnectionPointType.BOOL,\\n [ParamType.COLOR]: GlConnectionPointType.VEC3,\\n [ParamType.INTEGER]: GlConnectionPointType.INT,\\n [ParamType.FLOAT]: GlConnectionPointType.FLOAT,\\n [ParamType.FOLDER]: void 0,\\n [ParamType.VECTOR2]: GlConnectionPointType.VEC2,\\n [ParamType.VECTOR3]: GlConnectionPointType.VEC3,\\n [ParamType.VECTOR4]: GlConnectionPointType.VEC4,\\n [ParamType.BUTTON]: void 0,\\n [ParamType.OPERATOR_PATH]: void 0,\\n [ParamType.PARAM_PATH]: void 0,\\n [ParamType.NODE_PATH]: void 0,\\n [ParamType.RAMP]: void 0,\\n [ParamType.STRING]: void 0\\n};\\nvar GlConnectionPointInitValueMap = {\\n [GlConnectionPointType.BOOL]: false,\\n [GlConnectionPointType.INT]: 0,\\n [GlConnectionPointType.FLOAT]: 0,\\n [GlConnectionPointType.VEC2]: [0, 0],\\n [GlConnectionPointType.VEC3]: [0, 0, 0],\\n [GlConnectionPointType.VEC4]: [0, 0, 0, 0],\\n [GlConnectionPointType.SAMPLER_2D]: RampParam.DEFAULT_VALUE_JSON,\\n [GlConnectionPointType.SSS_MODEL]: \\\\\\\"SSSModel()\\\\\\\"\\n};\\nvar GlConnectionPointComponentsCountMap = {\\n [GlConnectionPointType.BOOL]: 1,\\n [GlConnectionPointType.INT]: 1,\\n [GlConnectionPointType.FLOAT]: 1,\\n [GlConnectionPointType.VEC2]: 2,\\n [GlConnectionPointType.VEC3]: 3,\\n [GlConnectionPointType.VEC4]: 4,\\n [GlConnectionPointType.SAMPLER_2D]: 1,\\n [GlConnectionPointType.SSS_MODEL]: 1\\n};\\nvar GlConnectionPoint = class extends BaseConnectionPoint {\\n constructor(_name, _type, _init_value) {\\n super(_name, _type);\\n this._name = _name;\\n this._type = _type;\\n this._init_value = _init_value;\\n this._init_value = this._init_value || GlConnectionPointInitValueMap[this._type];\\n }\\n type() {\\n return this._type;\\n }\\n are_types_matched(src_type, dest_type) {\\n return src_type == dest_type;\\n }\\n get param_type() {\\n return GlConnectionPointTypeToParamTypeMap[this._type];\\n }\\n get init_value() {\\n return this._init_value;\\n }\\n toJSON() {\\n return this._json = this._json || this._create_json();\\n }\\n _create_json() {\\n return {\\n name: this._name,\\n type: this._type\\n };\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/connections/Js.ts\\nvar JsConnectionPointType;\\n(function(JsConnectionPointType2) {\\n JsConnectionPointType2[\\\\\\\"BOOL\\\\\\\"] = \\\\\\\"bool\\\\\\\";\\n JsConnectionPointType2[\\\\\\\"INT\\\\\\\"] = \\\\\\\"int\\\\\\\";\\n JsConnectionPointType2[\\\\\\\"FLOAT\\\\\\\"] = \\\\\\\"float\\\\\\\";\\n JsConnectionPointType2[\\\\\\\"VEC2\\\\\\\"] = \\\\\\\"vec2\\\\\\\";\\n JsConnectionPointType2[\\\\\\\"VEC3\\\\\\\"] = \\\\\\\"vec3\\\\\\\";\\n JsConnectionPointType2[\\\\\\\"VEC4\\\\\\\"] = \\\\\\\"vec4\\\\\\\";\\n})(JsConnectionPointType || (JsConnectionPointType = {}));\\nvar JS_CONNECTION_POINT_TYPES = [\\n JsConnectionPointType.BOOL,\\n JsConnectionPointType.INT,\\n JsConnectionPointType.FLOAT,\\n JsConnectionPointType.VEC2,\\n JsConnectionPointType.VEC3,\\n JsConnectionPointType.VEC4\\n];\\nvar JsConnectionPointTypeToParamTypeMap = {\\n [JsConnectionPointType.BOOL]: ParamType.BOOLEAN,\\n [JsConnectionPointType.INT]: ParamType.INTEGER,\\n [JsConnectionPointType.FLOAT]: ParamType.FLOAT,\\n [JsConnectionPointType.VEC2]: ParamType.VECTOR2,\\n [JsConnectionPointType.VEC3]: ParamType.VECTOR3,\\n [JsConnectionPointType.VEC4]: ParamType.VECTOR4\\n};\\nvar JsParamTypeToConnectionPointTypeMap = {\\n [ParamType.BOOLEAN]: JsConnectionPointType.BOOL,\\n [ParamType.COLOR]: JsConnectionPointType.VEC3,\\n [ParamType.INTEGER]: JsConnectionPointType.INT,\\n [ParamType.FLOAT]: JsConnectionPointType.FLOAT,\\n [ParamType.FOLDER]: void 0,\\n [ParamType.VECTOR2]: JsConnectionPointType.VEC2,\\n [ParamType.VECTOR3]: JsConnectionPointType.VEC3,\\n [ParamType.VECTOR4]: JsConnectionPointType.VEC4,\\n [ParamType.BUTTON]: void 0,\\n [ParamType.OPERATOR_PATH]: void 0,\\n [ParamType.PARAM_PATH]: void 0,\\n [ParamType.NODE_PATH]: void 0,\\n [ParamType.RAMP]: void 0,\\n [ParamType.STRING]: void 0\\n};\\nvar JsConnectionPointInitValueMap = {\\n [JsConnectionPointType.BOOL]: false,\\n [JsConnectionPointType.INT]: 0,\\n [JsConnectionPointType.FLOAT]: 0,\\n [JsConnectionPointType.VEC2]: [0, 0],\\n [JsConnectionPointType.VEC3]: [0, 0, 0],\\n [JsConnectionPointType.VEC4]: [0, 0, 0, 0]\\n};\\nvar GlConnectionPointComponentsCountMap2 = {\\n [JsConnectionPointType.BOOL]: 1,\\n [JsConnectionPointType.INT]: 1,\\n [JsConnectionPointType.FLOAT]: 1,\\n [JsConnectionPointType.VEC2]: 2,\\n [JsConnectionPointType.VEC3]: 3,\\n [JsConnectionPointType.VEC4]: 4\\n};\\nvar JsConnectionPoint = class extends BaseConnectionPoint {\\n constructor(_name, _type) {\\n super(_name, _type);\\n this._name = _name;\\n this._type = _type;\\n this._init_value = JsConnectionPointInitValueMap[this._type];\\n }\\n type() {\\n return this._type;\\n }\\n are_types_matched(src_type, dest_type) {\\n return src_type == dest_type;\\n }\\n get param_type() {\\n return JsConnectionPointTypeToParamTypeMap[this._type];\\n }\\n get init_value() {\\n return this._init_value;\\n }\\n toJSON() {\\n return this._json = this._json || this._create_json();\\n }\\n _create_json() {\\n return {\\n name: this._name,\\n type: this._type\\n };\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/connections/Event.ts\\nvar EventConnectionPointType;\\n(function(EventConnectionPointType2) {\\n EventConnectionPointType2[\\\\\\\"BASE\\\\\\\"] = \\\\\\\"base\\\\\\\";\\n EventConnectionPointType2[\\\\\\\"DRAG\\\\\\\"] = \\\\\\\"drag\\\\\\\";\\n EventConnectionPointType2[\\\\\\\"KEYBOARD\\\\\\\"] = \\\\\\\"keyboard\\\\\\\";\\n EventConnectionPointType2[\\\\\\\"MOUSE\\\\\\\"] = \\\\\\\"mouse\\\\\\\";\\n EventConnectionPointType2[\\\\\\\"POINTER\\\\\\\"] = \\\\\\\"pointer\\\\\\\";\\n})(EventConnectionPointType || (EventConnectionPointType = {}));\\nvar EventConnectionPoint = class extends BaseConnectionPoint {\\n constructor(_name, _type, _event_listener) {\\n super(_name, _type);\\n this._name = _name;\\n this._type = _type;\\n this._event_listener = _event_listener;\\n }\\n type() {\\n return this._type;\\n }\\n get param_type() {\\n return ParamType.FLOAT;\\n }\\n are_types_matched(src_type, dest_type) {\\n if (dest_type == EventConnectionPointType.BASE) {\\n return true;\\n } else {\\n return src_type == dest_type;\\n }\\n }\\n get event_listener() {\\n return this._event_listener;\\n }\\n toJSON() {\\n return this._json = this._json || this._create_json();\\n }\\n _create_json() {\\n return {\\n name: this._name,\\n type: this._type\\n };\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/connections/ConnectionMap.ts\\nvar DEFAULT_CONNECTION_POINT_ENUM_MAP = {\\n [NodeContext.ANIM]: void 0,\\n [NodeContext.COP]: void 0,\\n [NodeContext.EVENT]: EventConnectionPointType.BASE,\\n [NodeContext.GL]: GlConnectionPointType.FLOAT,\\n [NodeContext.JS]: JsConnectionPointType.FLOAT,\\n [NodeContext.MANAGER]: void 0,\\n [NodeContext.MAT]: void 0,\\n [NodeContext.OBJ]: void 0,\\n [NodeContext.POST]: void 0,\\n [NodeContext.ROP]: void 0,\\n [NodeContext.SOP]: void 0\\n};\\nfunction create_connection_point(context, name, type) {\\n switch (context) {\\n case NodeContext.EVENT: {\\n return new EventConnectionPoint(name, type);\\n }\\n case NodeContext.GL: {\\n return new GlConnectionPoint(name, type);\\n }\\n case NodeContext.JS: {\\n return new JsConnectionPoint(name, type);\\n }\\n default: {\\n return void 0;\\n }\\n }\\n}\\nfunction param_type_to_connection_point_type_map(context) {\\n switch (context) {\\n case NodeContext.EVENT: {\\n return void 0;\\n }\\n case NodeContext.GL: {\\n return GLParamTypeToConnectionPointTypeMap;\\n }\\n case NodeContext.JS: {\\n return JsParamTypeToConnectionPointTypeMap;\\n }\\n default: {\\n return void 0;\\n }\\n }\\n}\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/ConnectionPointsSpareParamsController.ts\\nvar ConnectionPointsSpareParamsController = class {\\n constructor(node, _context2) {\\n this.node = node;\\n this._context = _context2;\\n this._raw_input_serialized_by_param_name = new Map();\\n this._default_value_serialized_by_param_name = new Map();\\n this._initialized = false;\\n }\\n initializeNode() {\\n if (this._initialized) {\\n console.warn(\\\\\\\"already initialized\\\\\\\", this.node);\\n return;\\n }\\n this._initialized = true;\\n this.node.params.onParamsCreated(\\\\\\\"create_inputs_from_params\\\\\\\", this.create_inputs_from_params.bind(this));\\n }\\n initialized() {\\n return this._initialized;\\n }\\n create_inputs_from_params() {\\n const connection_type_map = param_type_to_connection_point_type_map(this._context);\\n if (!connection_type_map) {\\n return;\\n }\\n const connection_points = [];\\n for (let param_name of this.node.params.names) {\\n let add_input = true;\\n if (this._inputless_param_names && this._inputless_param_names.length > 0 && this._inputless_param_names.includes(param_name)) {\\n add_input = false;\\n }\\n if (add_input) {\\n if (this.node.params.has(param_name)) {\\n const param = this.node.params.get(param_name);\\n if (param && !param.parent_param) {\\n const connection_type = connection_type_map[param.type()];\\n if (connection_type) {\\n const connection_point = create_connection_point(this._context, param.name(), connection_type);\\n if (connection_point) {\\n connection_points.push(connection_point);\\n }\\n }\\n }\\n }\\n }\\n }\\n this.node.io.inputs.setNamedInputConnectionPoints(connection_points);\\n }\\n set_inputless_param_names(names) {\\n return this._inputless_param_names = names;\\n }\\n createSpareParameters() {\\n if (this.node.scene().loadingController.isLoading()) {\\n return;\\n }\\n const current_param_names = this.node.params.spare_names;\\n const params_update_options = {};\\n for (let param_name of current_param_names) {\\n if (this.node.params.has(param_name)) {\\n const param = this.node.params.get(param_name);\\n if (param) {\\n this._raw_input_serialized_by_param_name.set(param_name, param.rawInputSerialized());\\n this._default_value_serialized_by_param_name.set(param_name, param.defaultValueSerialized());\\n params_update_options.namesToDelete = params_update_options.namesToDelete || [];\\n params_update_options.namesToDelete.push(param_name);\\n }\\n }\\n }\\n for (let connection_point of this.node.io.inputs.namedInputConnectionPoints()) {\\n if (connection_point) {\\n const param_name = connection_point.name();\\n const param_type = connection_point.param_type;\\n let init_value = connection_point.init_value;\\n const last_param_init_value = this._default_value_serialized_by_param_name.get(param_name);\\n let default_value_from_name = this.node.paramDefaultValue(param_name);\\n if (default_value_from_name != null) {\\n init_value = default_value_from_name;\\n } else {\\n if (last_param_init_value != null) {\\n init_value = last_param_init_value;\\n } else {\\n init_value = connection_point.init_value;\\n }\\n }\\n if (CoreType.isArray(connection_point.init_value)) {\\n if (CoreType.isNumber(init_value)) {\\n const array = new Array(connection_point.init_value.length);\\n array.fill(init_value);\\n init_value = array;\\n } else if (CoreType.isArray(init_value)) {\\n if (init_value.length == connection_point.init_value.length) {\\n if (last_param_init_value != null) {\\n init_value = connection_point.init_value;\\n }\\n }\\n }\\n }\\n if (init_value != null) {\\n params_update_options.toAdd = params_update_options.toAdd || [];\\n params_update_options.toAdd.push({\\n name: param_name,\\n type: param_type,\\n init_value: ObjectUtils.clone(init_value),\\n raw_input: ObjectUtils.clone(init_value),\\n options: {\\n spare: true\\n }\\n });\\n }\\n }\\n }\\n this.node.params.updateParams(params_update_options);\\n for (let spare_param of this.node.params.spare) {\\n if (!spare_param.parent_param) {\\n const raw_input = this._raw_input_serialized_by_param_name.get(spare_param.name());\\n if (raw_input) {\\n spare_param.set(raw_input);\\n }\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/ConnectionPointsController.ts\\nvar ConnectionPointsController = class {\\n constructor(node, _context2) {\\n this.node = node;\\n this._context = _context2;\\n this._create_spare_params_from_inputs = true;\\n this._functions_overridden = false;\\n this._input_name_function = (index) => {\\n return `in${index}`;\\n };\\n this._output_name_function = (index) => {\\n return index == 0 ? \\\\\\\"val\\\\\\\" : `val${index}`;\\n };\\n this._expected_input_types_function = () => {\\n const type = this.first_input_connection_type() || this.default_connection_type();\\n return [type, type];\\n };\\n this._expected_output_types_function = () => {\\n return [this._expected_input_types_function()[0]];\\n };\\n this._update_signature_if_required_bound = this.update_signature_if_required.bind(this);\\n this._initialized = false;\\n this._spare_params_controller = new ConnectionPointsSpareParamsController(this.node, this._context);\\n }\\n default_connection_type() {\\n return DEFAULT_CONNECTION_POINT_ENUM_MAP[this._context];\\n }\\n create_connection_point(name, type) {\\n return create_connection_point(this._context, name, type);\\n }\\n functions_overridden() {\\n return this._functions_overridden;\\n }\\n initialized() {\\n return this._initialized;\\n }\\n set_create_spare_params_from_inputs(state) {\\n this._create_spare_params_from_inputs = state;\\n }\\n set_input_name_function(func) {\\n this._initialize_if_required();\\n this._input_name_function = func;\\n }\\n set_output_name_function(func) {\\n this._initialize_if_required();\\n this._output_name_function = func;\\n }\\n set_expected_input_types_function(func) {\\n this._initialize_if_required();\\n this._functions_overridden = true;\\n this._expected_input_types_function = func;\\n }\\n set_expected_output_types_function(func) {\\n this._initialize_if_required();\\n this._functions_overridden = true;\\n this._expected_output_types_function = func;\\n }\\n input_name(index) {\\n return this._wrapped_input_name_function(index);\\n }\\n output_name(index) {\\n return this._wrapped_output_name_function(index);\\n }\\n initializeNode() {\\n if (this._initialized) {\\n console.warn(\\\\\\\"already initialized\\\\\\\", this.node);\\n return;\\n }\\n this._initialized = true;\\n this.node.io.inputs.add_on_set_input_hook(\\\\\\\"_update_signature_if_required\\\\\\\", this._update_signature_if_required_bound);\\n this.node.params.addOnSceneLoadHook(\\\\\\\"_update_signature_if_required\\\\\\\", this._update_signature_if_required_bound);\\n this.node.params.onParamsCreated(\\\\\\\"_update_signature_if_required_bound\\\\\\\", this._update_signature_if_required_bound);\\n this.node.addPostDirtyHook(\\\\\\\"_update_signature_if_required\\\\\\\", this._update_signature_if_required_bound);\\n if (!this._spare_params_controller.initialized()) {\\n this._spare_params_controller.initializeNode();\\n }\\n }\\n _initialize_if_required() {\\n if (!this._initialized) {\\n this.initializeNode();\\n }\\n }\\n get spare_params() {\\n return this._spare_params_controller;\\n }\\n update_signature_if_required(dirty_trigger) {\\n if (!this.node.lifecycle.creationCompleted() || !this._connections_match_inputs()) {\\n this.update_connection_types();\\n this.node.removeDirtyState();\\n if (!this.node.scene().loadingController.isLoading()) {\\n this.make_successors_update_signatures();\\n }\\n }\\n }\\n make_successors_update_signatures() {\\n const successors = this.node.graphAllSuccessors();\\n if (this.node.childrenAllowed()) {\\n const subnet_inputs = this.node.nodesByType(NetworkChildNodeType.INPUT);\\n const subnet_outputs = this.node.nodesByType(NetworkChildNodeType.OUTPUT);\\n for (let subnet_input of subnet_inputs) {\\n successors.push(subnet_input);\\n }\\n for (let subnet_output of subnet_outputs) {\\n successors.push(subnet_output);\\n }\\n }\\n for (let graph_node of successors) {\\n const node = graph_node;\\n if (node.io && node.io.has_connection_points_controller && node.io.connection_points.initialized()) {\\n node.io.connection_points.update_signature_if_required(this.node);\\n }\\n }\\n }\\n update_connection_types() {\\n const set_dirty = false;\\n const expected_input_types = this._wrapped_expected_input_types_function();\\n const expected_output_types = this._wrapped_expected_output_types_function();\\n const named_input_connection_points = [];\\n for (let i = 0; i < expected_input_types.length; i++) {\\n const type = expected_input_types[i];\\n const point = this.create_connection_point(this._wrapped_input_name_function(i), type);\\n named_input_connection_points.push(point);\\n }\\n const named_output_connect_points = [];\\n for (let i = 0; i < expected_output_types.length; i++) {\\n const type = expected_output_types[i];\\n const point = this.create_connection_point(this._wrapped_output_name_function(i), type);\\n named_output_connect_points.push(point);\\n }\\n this.node.io.inputs.setNamedInputConnectionPoints(named_input_connection_points);\\n this.node.io.outputs.setNamedOutputConnectionPoints(named_output_connect_points, set_dirty);\\n if (this._create_spare_params_from_inputs) {\\n this._spare_params_controller.createSpareParameters();\\n }\\n }\\n _connections_match_inputs() {\\n const current_input_types = this.node.io.inputs.namedInputConnectionPoints().map((c) => c?.type());\\n const current_output_types = this.node.io.outputs.namedOutputConnectionPoints().map((c) => c?.type());\\n const expected_input_types = this._wrapped_expected_input_types_function();\\n const expected_output_types = this._wrapped_expected_output_types_function();\\n if (expected_input_types.length != current_input_types.length) {\\n return false;\\n }\\n if (expected_output_types.length != current_output_types.length) {\\n return false;\\n }\\n for (let i = 0; i < current_input_types.length; i++) {\\n if (current_input_types[i] != expected_input_types[i]) {\\n return false;\\n }\\n }\\n for (let i = 0; i < current_output_types.length; i++) {\\n if (current_output_types[i] != expected_output_types[i]) {\\n return false;\\n }\\n }\\n return true;\\n }\\n _wrapped_expected_input_types_function() {\\n if (this.node.scene().loadingController.isLoading()) {\\n const in_data = this.node.io.saved_connection_points_data.in();\\n if (in_data) {\\n return in_data.map((d) => d.type);\\n }\\n }\\n return this._expected_input_types_function();\\n }\\n _wrapped_expected_output_types_function() {\\n if (this.node.scene().loadingController.isLoading()) {\\n const out_data = this.node.io.saved_connection_points_data.out();\\n if (out_data) {\\n return out_data.map((d) => d.type);\\n }\\n }\\n return this._expected_output_types_function();\\n }\\n _wrapped_input_name_function(index) {\\n if (this.node.scene().loadingController.isLoading()) {\\n const in_data = this.node.io.saved_connection_points_data.in();\\n if (in_data) {\\n return in_data[index].name;\\n }\\n }\\n return this._input_name_function(index);\\n }\\n _wrapped_output_name_function(index) {\\n if (this.node.scene().loadingController.isLoading()) {\\n const out_data = this.node.io.saved_connection_points_data.out();\\n if (out_data) {\\n return out_data[index].name;\\n }\\n }\\n return this._output_name_function(index);\\n }\\n first_input_connection_type() {\\n return this.input_connection_type(0);\\n }\\n input_connection_type(index) {\\n const connections = this.node.io.connections.inputConnections();\\n if (connections) {\\n const connection = connections[index];\\n if (connection) {\\n return connection.src_connection_point().type();\\n }\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/io/IOController.ts\\nvar IOController = class {\\n constructor(node) {\\n this.node = node;\\n this._connections = new ConnectionsController(this.node);\\n }\\n get connections() {\\n return this._connections;\\n }\\n get inputs() {\\n return this._inputs = this._inputs || new InputsController2(this.node);\\n }\\n has_inputs() {\\n return this._inputs != null;\\n }\\n get outputs() {\\n return this._outputs = this._outputs || new OutputsController(this.node);\\n }\\n has_outputs() {\\n return this._outputs != null;\\n }\\n get connection_points() {\\n return this._connection_points = this._connection_points || new ConnectionPointsController(this.node, this.node.context());\\n }\\n get has_connection_points_controller() {\\n return this._connection_points != null;\\n }\\n get saved_connection_points_data() {\\n return this._saved_connection_points_data = this._saved_connection_points_data || new SavedConnectionPointsDataController(this.node);\\n }\\n clear_saved_connection_points_data() {\\n if (this._saved_connection_points_data) {\\n this._saved_connection_points_data.clear();\\n this._saved_connection_points_data = void 0;\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/params/ParamsAccessor.ts\\nvar ParamsAccessor = class {\\n constructor() {\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/_Base.ts\\nvar TypedNode = class extends CoreGraphNode {\\n constructor(scene, name = \\\\\\\"BaseNode\\\\\\\", params_init_value_overrides) {\\n super(scene, name);\\n this.params_init_value_overrides = params_init_value_overrides;\\n this.containerController = new TypedContainerController(this);\\n this.pv = new ParamsValueAccessor();\\n this.p = new ParamsAccessor();\\n this._initialized = false;\\n }\\n copy_param_values(node) {\\n const non_spare = this.params.non_spare;\\n for (let param of non_spare) {\\n const other_param = node.params.get(param.name());\\n if (other_param) {\\n param.copy_value(other_param);\\n }\\n }\\n }\\n get parentController() {\\n return this._parent_controller = this._parent_controller || new HierarchyParentController(this);\\n }\\n static displayedInputNames() {\\n return [];\\n }\\n get childrenControllerContext() {\\n return this._children_controller_context;\\n }\\n _create_children_controller() {\\n if (this._children_controller_context) {\\n return new HierarchyChildrenController(this, this._children_controller_context);\\n }\\n }\\n get childrenController() {\\n return this._children_controller = this._children_controller || this._create_children_controller();\\n }\\n childrenAllowed() {\\n return this._children_controller_context != null;\\n }\\n get uiData() {\\n return this._ui_data = this._ui_data || new UIData(this);\\n }\\n get states() {\\n return this._states = this._states || new StatesController(this);\\n }\\n get lifecycle() {\\n return this._lifecycle = this._lifecycle || new LifeCycleController(this);\\n }\\n get serializer() {\\n return this._serializer = this._serializer || new NodeSerializer(this);\\n }\\n get cookController() {\\n return this._cook_controller = this._cook_controller || new NodeCookController(this);\\n }\\n get io() {\\n return this._io = this._io || new IOController(this);\\n }\\n get nameController() {\\n return this._name_controller = this._name_controller || new NameController(this);\\n }\\n setName(name) {\\n this.nameController.setName(name);\\n }\\n _set_core_name(name) {\\n this._name = name;\\n }\\n get params() {\\n return this._params_controller = this._params_controller || new ParamsController(this);\\n }\\n initialize_base_and_node() {\\n if (!this._initialized) {\\n this._initialized = true;\\n this.displayNodeController?.initializeNode();\\n this.initializeBaseNode();\\n this.initializeNode();\\n if (this.polyNodeController) {\\n this.polyNodeController.initializeNode();\\n }\\n } else {\\n console.warn(\\\\\\\"node already initialized\\\\\\\");\\n }\\n }\\n initializeBaseNode() {\\n }\\n initializeNode() {\\n }\\n static type() {\\n throw \\\\\\\"type to be overriden\\\\\\\";\\n }\\n type() {\\n const c = this.constructor;\\n return c.type();\\n }\\n static context() {\\n console.error(\\\\\\\"node has no node_context\\\\\\\", this);\\n throw \\\\\\\"context requires override\\\\\\\";\\n }\\n context() {\\n const c = this.constructor;\\n return c.context();\\n }\\n static require_webgl2() {\\n return false;\\n }\\n require_webgl2() {\\n const c = this.constructor;\\n return c.require_webgl2();\\n }\\n setParent(parent) {\\n this.parentController.setParent(parent);\\n }\\n parent() {\\n return this.parentController.parent();\\n }\\n firstAncestorWithContext(context) {\\n return this.parentController.firstAncestorWithContext(context);\\n }\\n root() {\\n return this._scene.root();\\n }\\n path(relative_to_parent) {\\n return this.parentController.path(relative_to_parent);\\n }\\n createParams() {\\n }\\n addParam(type, name, default_value, options) {\\n return this._params_controller?.addParam(type, name, default_value, options);\\n }\\n paramDefaultValue(name) {\\n return null;\\n }\\n cook(input_contents) {\\n return null;\\n }\\n onCookEnd(callbackName, callback) {\\n this.cookController.registerOnCookEnd(callbackName, callback);\\n }\\n async compute() {\\n if (this.isDirty() || this.flags?.bypass?.active()) {\\n return await this.containerController.compute();\\n } else {\\n return this.containerController.container();\\n }\\n }\\n _setContainer(content, message = null) {\\n this.containerController.container().set_content(content);\\n if (content != null) {\\n if (!content.name) {\\n content.name = this.path();\\n }\\n if (!content.node) {\\n content.node = this;\\n }\\n }\\n this.cookController.endCook(message);\\n }\\n createNode(nodeClass, params_init_value_overrides) {\\n return this.childrenController?.createNode(nodeClass, params_init_value_overrides);\\n }\\n create_operation_container(type, operation_container_name, params_init_value_overrides) {\\n return this.childrenController?.create_operation_container(type, operation_container_name, params_init_value_overrides);\\n }\\n removeNode(node) {\\n this.childrenController?.removeNode(node);\\n }\\n dispose() {\\n super.dispose();\\n this.setParent(null);\\n this.io.inputs.dispose();\\n this.lifecycle.dispose();\\n this.displayNodeController?.dispose();\\n this.nameController.dispose();\\n this.childrenController?.dispose();\\n this.params.dispose();\\n }\\n children() {\\n return this.childrenController?.children() || [];\\n }\\n node(path) {\\n return this.parentController?.findNode(path) || null;\\n }\\n nodeSibbling(name) {\\n const parent = this.parent();\\n if (parent) {\\n const node = parent.childrenController?.childByName(name);\\n if (node) {\\n return node;\\n }\\n }\\n return null;\\n }\\n nodesByType(type) {\\n return this.childrenController?.nodesByType(type) || [];\\n }\\n setInput(input_index_or_name, node, output_index_or_name = 0) {\\n this.io.inputs.setInput(input_index_or_name, node, output_index_or_name);\\n }\\n emit(event_name, data = null) {\\n this.scene().dispatchController.dispatch(this, event_name, data);\\n }\\n toJSON(include_param_components = false) {\\n return this.serializer.toJSON(include_param_components);\\n }\\n async requiredModules() {\\n }\\n usedAssembler() {\\n }\\n integrationData() {\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/obj/_Base.ts\\nvar INPUT_OBJECT_NAME = \\\\\\\"parent object\\\\\\\";\\nvar DEFAULT_INPUT_NAMES = [INPUT_OBJECT_NAME, INPUT_OBJECT_NAME, INPUT_OBJECT_NAME, INPUT_OBJECT_NAME];\\nvar ObjNodeRenderOrder;\\n(function(ObjNodeRenderOrder2) {\\n ObjNodeRenderOrder2[ObjNodeRenderOrder2[\\\\\\\"MANAGER\\\\\\\"] = 0] = \\\\\\\"MANAGER\\\\\\\";\\n ObjNodeRenderOrder2[ObjNodeRenderOrder2[\\\\\\\"CAMERA\\\\\\\"] = 2] = \\\\\\\"CAMERA\\\\\\\";\\n ObjNodeRenderOrder2[ObjNodeRenderOrder2[\\\\\\\"LIGHT\\\\\\\"] = 3] = \\\\\\\"LIGHT\\\\\\\";\\n})(ObjNodeRenderOrder || (ObjNodeRenderOrder = {}));\\nvar TypedObjNode = class extends TypedNode {\\n constructor() {\\n super(...arguments);\\n this.renderOrder = 0;\\n this._children_group = this._create_children_group();\\n this._attachableToHierarchy = true;\\n this._used_in_scene = true;\\n }\\n static context() {\\n return NodeContext.OBJ;\\n }\\n static displayedInputNames() {\\n return DEFAULT_INPUT_NAMES;\\n }\\n _create_children_group() {\\n const group = new Group();\\n group.matrixAutoUpdate = false;\\n return group;\\n }\\n attachableToHierarchy() {\\n return this._attachableToHierarchy;\\n }\\n usedInScene() {\\n return this._used_in_scene;\\n }\\n addObjectToParent(parent) {\\n if (this.attachableToHierarchy()) {\\n parent.add(this.object);\\n }\\n }\\n removeObjectFromParent() {\\n if (this.attachableToHierarchy()) {\\n const parent = this.object.parent;\\n if (parent) {\\n parent.remove(this.object);\\n }\\n }\\n }\\n initializeBaseNode() {\\n this._object = this._create_object_with_attributes();\\n this.nameController.add_post_set_fullPath_hook(this.set_object_name.bind(this));\\n this.set_object_name();\\n }\\n get children_group() {\\n return this._children_group;\\n }\\n get object() {\\n return this._object;\\n }\\n _create_object_with_attributes() {\\n const object = this.createObject();\\n object.node = this;\\n object.add(this._children_group);\\n return object;\\n }\\n set_object_name() {\\n if (this._object) {\\n this._object.name = this.path();\\n this._children_group.name = `${this.path()}:parented_outputs`;\\n }\\n }\\n createObject() {\\n const object = new Object3D();\\n object.matrixAutoUpdate = false;\\n return object;\\n }\\n isDisplayNodeCooking() {\\n if (this.displayNodeController) {\\n const displayNode = this.displayNodeController.displayNode();\\n if (displayNode) {\\n return displayNode.cookController.isCooking();\\n }\\n }\\n return false;\\n }\\n isDisplayed() {\\n return this.flags?.display?.active() || false;\\n }\\n};\\n\\n// ../../../node_modules/three/src/audio/AudioAnalyser.js\\nvar AudioAnalyser = class {\\n constructor(audio, fftSize = 2048) {\\n this.analyser = audio.context.createAnalyser();\\n this.analyser.fftSize = fftSize;\\n this.data = new Uint8Array(this.analyser.frequencyBinCount);\\n audio.getOutput().connect(this.analyser);\\n }\\n getFrequencyData() {\\n this.analyser.getByteFrequencyData(this.data);\\n return this.data;\\n }\\n getAverageFrequency() {\\n let value = 0;\\n const data = this.getFrequencyData();\\n for (let i = 0; i < data.length; i++) {\\n value += data[i];\\n }\\n return value / data.length;\\n }\\n};\\n\\n// ../../../node_modules/three/src/audio/Audio.js\\nvar Audio2 = class extends Object3D {\\n constructor(listener) {\\n super();\\n this.type = \\\\\\\"Audio\\\\\\\";\\n this.listener = listener;\\n this.context = listener.context;\\n this.gain = this.context.createGain();\\n this.gain.connect(listener.getInput());\\n this.autoplay = false;\\n this.buffer = null;\\n this.detune = 0;\\n this.loop = false;\\n this.loopStart = 0;\\n this.loopEnd = 0;\\n this.offset = 0;\\n this.duration = void 0;\\n this.playbackRate = 1;\\n this.isPlaying = false;\\n this.hasPlaybackControl = true;\\n this.source = null;\\n this.sourceType = \\\\\\\"empty\\\\\\\";\\n this._startedAt = 0;\\n this._progress = 0;\\n this._connected = false;\\n this.filters = [];\\n }\\n getOutput() {\\n return this.gain;\\n }\\n setNodeSource(audioNode) {\\n this.hasPlaybackControl = false;\\n this.sourceType = \\\\\\\"audioNode\\\\\\\";\\n this.source = audioNode;\\n this.connect();\\n return this;\\n }\\n setMediaElementSource(mediaElement) {\\n this.hasPlaybackControl = false;\\n this.sourceType = \\\\\\\"mediaNode\\\\\\\";\\n this.source = this.context.createMediaElementSource(mediaElement);\\n this.connect();\\n return this;\\n }\\n setMediaStreamSource(mediaStream) {\\n this.hasPlaybackControl = false;\\n this.sourceType = \\\\\\\"mediaStreamNode\\\\\\\";\\n this.source = this.context.createMediaStreamSource(mediaStream);\\n this.connect();\\n return this;\\n }\\n setBuffer(audioBuffer) {\\n this.buffer = audioBuffer;\\n this.sourceType = \\\\\\\"buffer\\\\\\\";\\n if (this.autoplay)\\n this.play();\\n return this;\\n }\\n play(delay = 0) {\\n if (this.isPlaying === true) {\\n console.warn(\\\\\\\"THREE.Audio: Audio is already playing.\\\\\\\");\\n return;\\n }\\n if (this.hasPlaybackControl === false) {\\n console.warn(\\\\\\\"THREE.Audio: this Audio has no playback control.\\\\\\\");\\n return;\\n }\\n this._startedAt = this.context.currentTime + delay;\\n const source = this.context.createBufferSource();\\n source.buffer = this.buffer;\\n source.loop = this.loop;\\n source.loopStart = this.loopStart;\\n source.loopEnd = this.loopEnd;\\n source.onended = this.onEnded.bind(this);\\n source.start(this._startedAt, this._progress + this.offset, this.duration);\\n this.isPlaying = true;\\n this.source = source;\\n this.setDetune(this.detune);\\n this.setPlaybackRate(this.playbackRate);\\n return this.connect();\\n }\\n pause() {\\n if (this.hasPlaybackControl === false) {\\n console.warn(\\\\\\\"THREE.Audio: this Audio has no playback control.\\\\\\\");\\n return;\\n }\\n if (this.isPlaying === true) {\\n this._progress += Math.max(this.context.currentTime - this._startedAt, 0) * this.playbackRate;\\n if (this.loop === true) {\\n this._progress = this._progress % (this.duration || this.buffer.duration);\\n }\\n this.source.stop();\\n this.source.onended = null;\\n this.isPlaying = false;\\n }\\n return this;\\n }\\n stop() {\\n if (this.hasPlaybackControl === false) {\\n console.warn(\\\\\\\"THREE.Audio: this Audio has no playback control.\\\\\\\");\\n return;\\n }\\n this._progress = 0;\\n this.source.stop();\\n this.source.onended = null;\\n this.isPlaying = false;\\n return this;\\n }\\n connect() {\\n if (this.filters.length > 0) {\\n this.source.connect(this.filters[0]);\\n for (let i = 1, l = this.filters.length; i < l; i++) {\\n this.filters[i - 1].connect(this.filters[i]);\\n }\\n this.filters[this.filters.length - 1].connect(this.getOutput());\\n } else {\\n this.source.connect(this.getOutput());\\n }\\n this._connected = true;\\n return this;\\n }\\n disconnect() {\\n if (this.filters.length > 0) {\\n this.source.disconnect(this.filters[0]);\\n for (let i = 1, l = this.filters.length; i < l; i++) {\\n this.filters[i - 1].disconnect(this.filters[i]);\\n }\\n this.filters[this.filters.length - 1].disconnect(this.getOutput());\\n } else {\\n this.source.disconnect(this.getOutput());\\n }\\n this._connected = false;\\n return this;\\n }\\n getFilters() {\\n return this.filters;\\n }\\n setFilters(value) {\\n if (!value)\\n value = [];\\n if (this._connected === true) {\\n this.disconnect();\\n this.filters = value.slice();\\n this.connect();\\n } else {\\n this.filters = value.slice();\\n }\\n return this;\\n }\\n setDetune(value) {\\n this.detune = value;\\n if (this.source.detune === void 0)\\n return;\\n if (this.isPlaying === true) {\\n this.source.detune.setTargetAtTime(this.detune, this.context.currentTime, 0.01);\\n }\\n return this;\\n }\\n getDetune() {\\n return this.detune;\\n }\\n getFilter() {\\n return this.getFilters()[0];\\n }\\n setFilter(filter) {\\n return this.setFilters(filter ? [filter] : []);\\n }\\n setPlaybackRate(value) {\\n if (this.hasPlaybackControl === false) {\\n console.warn(\\\\\\\"THREE.Audio: this Audio has no playback control.\\\\\\\");\\n return;\\n }\\n this.playbackRate = value;\\n if (this.isPlaying === true) {\\n this.source.playbackRate.setTargetAtTime(this.playbackRate, this.context.currentTime, 0.01);\\n }\\n return this;\\n }\\n getPlaybackRate() {\\n return this.playbackRate;\\n }\\n onEnded() {\\n this.isPlaying = false;\\n }\\n getLoop() {\\n if (this.hasPlaybackControl === false) {\\n console.warn(\\\\\\\"THREE.Audio: this Audio has no playback control.\\\\\\\");\\n return false;\\n }\\n return this.loop;\\n }\\n setLoop(value) {\\n if (this.hasPlaybackControl === false) {\\n console.warn(\\\\\\\"THREE.Audio: this Audio has no playback control.\\\\\\\");\\n return;\\n }\\n this.loop = value;\\n if (this.isPlaying === true) {\\n this.source.loop = this.loop;\\n }\\n return this;\\n }\\n setLoopStart(value) {\\n this.loopStart = value;\\n return this;\\n }\\n setLoopEnd(value) {\\n this.loopEnd = value;\\n return this;\\n }\\n getVolume() {\\n return this.gain.gain.value;\\n }\\n setVolume(value) {\\n this.gain.gain.setTargetAtTime(value, this.context.currentTime, 0.01);\\n return this;\\n }\\n};\\n\\n// ../../../node_modules/three/src/audio/AudioContext.js\\nvar _context;\\nvar AudioContext = {\\n getContext: function() {\\n if (_context === void 0) {\\n _context = new (window.AudioContext || window.webkitAudioContext)();\\n }\\n return _context;\\n },\\n setContext: function(value) {\\n _context = value;\\n }\\n};\\n\\n// ../../../node_modules/three/src/loaders/Cache.js\\nvar Cache = {\\n enabled: false,\\n files: {},\\n add: function(key, file) {\\n if (this.enabled === false)\\n return;\\n this.files[key] = file;\\n },\\n get: function(key) {\\n if (this.enabled === false)\\n return;\\n return this.files[key];\\n },\\n remove: function(key) {\\n delete this.files[key];\\n },\\n clear: function() {\\n this.files = {};\\n }\\n};\\n\\n// ../../../node_modules/three/src/loaders/LoadingManager.js\\nvar LoadingManager = class {\\n constructor(onLoad, onProgress, onError) {\\n const scope = this;\\n let isLoading = false;\\n let itemsLoaded = 0;\\n let itemsTotal = 0;\\n let urlModifier = void 0;\\n const handlers = [];\\n this.onStart = void 0;\\n this.onLoad = onLoad;\\n this.onProgress = onProgress;\\n this.onError = onError;\\n this.itemStart = function(url) {\\n itemsTotal++;\\n if (isLoading === false) {\\n if (scope.onStart !== void 0) {\\n scope.onStart(url, itemsLoaded, itemsTotal);\\n }\\n }\\n isLoading = true;\\n };\\n this.itemEnd = function(url) {\\n itemsLoaded++;\\n if (scope.onProgress !== void 0) {\\n scope.onProgress(url, itemsLoaded, itemsTotal);\\n }\\n if (itemsLoaded === itemsTotal) {\\n isLoading = false;\\n if (scope.onLoad !== void 0) {\\n scope.onLoad();\\n }\\n }\\n };\\n this.itemError = function(url) {\\n if (scope.onError !== void 0) {\\n scope.onError(url);\\n }\\n };\\n this.resolveURL = function(url) {\\n if (urlModifier) {\\n return urlModifier(url);\\n }\\n return url;\\n };\\n this.setURLModifier = function(transform) {\\n urlModifier = transform;\\n return this;\\n };\\n this.addHandler = function(regex, loader) {\\n handlers.push(regex, loader);\\n return this;\\n };\\n this.removeHandler = function(regex) {\\n const index = handlers.indexOf(regex);\\n if (index !== -1) {\\n handlers.splice(index, 2);\\n }\\n return this;\\n };\\n this.getHandler = function(file) {\\n for (let i = 0, l = handlers.length; i < l; i += 2) {\\n const regex = handlers[i];\\n const loader = handlers[i + 1];\\n if (regex.global)\\n regex.lastIndex = 0;\\n if (regex.test(file)) {\\n return loader;\\n }\\n }\\n return null;\\n };\\n }\\n};\\nvar DefaultLoadingManager = new LoadingManager();\\n\\n// ../../../node_modules/three/src/loaders/Loader.js\\nvar Loader = class {\\n constructor(manager) {\\n this.manager = manager !== void 0 ? manager : DefaultLoadingManager;\\n this.crossOrigin = \\\\\\\"anonymous\\\\\\\";\\n this.withCredentials = false;\\n this.path = \\\\\\\"\\\\\\\";\\n this.resourcePath = \\\\\\\"\\\\\\\";\\n this.requestHeader = {};\\n }\\n load() {\\n }\\n loadAsync(url, onProgress) {\\n const scope = this;\\n return new Promise(function(resolve, reject) {\\n scope.load(url, resolve, onProgress, reject);\\n });\\n }\\n parse() {\\n }\\n setCrossOrigin(crossOrigin) {\\n this.crossOrigin = crossOrigin;\\n return this;\\n }\\n setWithCredentials(value) {\\n this.withCredentials = value;\\n return this;\\n }\\n setPath(path) {\\n this.path = path;\\n return this;\\n }\\n setResourcePath(resourcePath) {\\n this.resourcePath = resourcePath;\\n return this;\\n }\\n setRequestHeader(requestHeader) {\\n this.requestHeader = requestHeader;\\n return this;\\n }\\n};\\n\\n// ../../../node_modules/three/src/loaders/FileLoader.js\\nvar loading = {};\\nvar FileLoader = class extends Loader {\\n constructor(manager) {\\n super(manager);\\n }\\n load(url, onLoad, onProgress, onError) {\\n if (url === void 0)\\n url = \\\\\\\"\\\\\\\";\\n if (this.path !== void 0)\\n url = this.path + url;\\n url = this.manager.resolveURL(url);\\n const scope = this;\\n const cached = Cache.get(url);\\n if (cached !== void 0) {\\n scope.manager.itemStart(url);\\n setTimeout(function() {\\n if (onLoad)\\n onLoad(cached);\\n scope.manager.itemEnd(url);\\n }, 0);\\n return cached;\\n }\\n if (loading[url] !== void 0) {\\n loading[url].push({\\n onLoad,\\n onProgress,\\n onError\\n });\\n return;\\n }\\n const dataUriRegex = /^data:(.*?)(;base64)?,(.*)$/;\\n const dataUriRegexResult = url.match(dataUriRegex);\\n let request;\\n if (dataUriRegexResult) {\\n const mimeType = dataUriRegexResult[1];\\n const isBase64 = !!dataUriRegexResult[2];\\n let data = dataUriRegexResult[3];\\n data = decodeURIComponent(data);\\n if (isBase64)\\n data = atob(data);\\n try {\\n let response;\\n const responseType = (this.responseType || \\\\\\\"\\\\\\\").toLowerCase();\\n switch (responseType) {\\n case \\\\\\\"arraybuffer\\\\\\\":\\n case \\\\\\\"blob\\\\\\\":\\n const view = new Uint8Array(data.length);\\n for (let i = 0; i < data.length; i++) {\\n view[i] = data.charCodeAt(i);\\n }\\n if (responseType === \\\\\\\"blob\\\\\\\") {\\n response = new Blob([view.buffer], {type: mimeType});\\n } else {\\n response = view.buffer;\\n }\\n break;\\n case \\\\\\\"document\\\\\\\":\\n const parser = new DOMParser();\\n response = parser.parseFromString(data, mimeType);\\n break;\\n case \\\\\\\"json\\\\\\\":\\n response = JSON.parse(data);\\n break;\\n default:\\n response = data;\\n break;\\n }\\n setTimeout(function() {\\n if (onLoad)\\n onLoad(response);\\n scope.manager.itemEnd(url);\\n }, 0);\\n } catch (error) {\\n setTimeout(function() {\\n if (onError)\\n onError(error);\\n scope.manager.itemError(url);\\n scope.manager.itemEnd(url);\\n }, 0);\\n }\\n } else {\\n loading[url] = [];\\n loading[url].push({\\n onLoad,\\n onProgress,\\n onError\\n });\\n request = new XMLHttpRequest();\\n request.open(\\\\\\\"GET\\\\\\\", url, true);\\n request.addEventListener(\\\\\\\"load\\\\\\\", function(event) {\\n const response = this.response;\\n const callbacks = loading[url];\\n delete loading[url];\\n if (this.status === 200 || this.status === 0) {\\n if (this.status === 0)\\n console.warn(\\\\\\\"THREE.FileLoader: HTTP Status 0 received.\\\\\\\");\\n Cache.add(url, response);\\n for (let i = 0, il = callbacks.length; i < il; i++) {\\n const callback = callbacks[i];\\n if (callback.onLoad)\\n callback.onLoad(response);\\n }\\n scope.manager.itemEnd(url);\\n } else {\\n for (let i = 0, il = callbacks.length; i < il; i++) {\\n const callback = callbacks[i];\\n if (callback.onError)\\n callback.onError(event);\\n }\\n scope.manager.itemError(url);\\n scope.manager.itemEnd(url);\\n }\\n }, false);\\n request.addEventListener(\\\\\\\"progress\\\\\\\", function(event) {\\n const callbacks = loading[url];\\n for (let i = 0, il = callbacks.length; i < il; i++) {\\n const callback = callbacks[i];\\n if (callback.onProgress)\\n callback.onProgress(event);\\n }\\n }, false);\\n request.addEventListener(\\\\\\\"error\\\\\\\", function(event) {\\n const callbacks = loading[url];\\n delete loading[url];\\n for (let i = 0, il = callbacks.length; i < il; i++) {\\n const callback = callbacks[i];\\n if (callback.onError)\\n callback.onError(event);\\n }\\n scope.manager.itemError(url);\\n scope.manager.itemEnd(url);\\n }, false);\\n request.addEventListener(\\\\\\\"abort\\\\\\\", function(event) {\\n const callbacks = loading[url];\\n delete loading[url];\\n for (let i = 0, il = callbacks.length; i < il; i++) {\\n const callback = callbacks[i];\\n if (callback.onError)\\n callback.onError(event);\\n }\\n scope.manager.itemError(url);\\n scope.manager.itemEnd(url);\\n }, false);\\n if (this.responseType !== void 0)\\n request.responseType = this.responseType;\\n if (this.withCredentials !== void 0)\\n request.withCredentials = this.withCredentials;\\n if (request.overrideMimeType)\\n request.overrideMimeType(this.mimeType !== void 0 ? this.mimeType : \\\\\\\"text/plain\\\\\\\");\\n for (const header in this.requestHeader) {\\n request.setRequestHeader(header, this.requestHeader[header]);\\n }\\n request.send(null);\\n }\\n scope.manager.itemStart(url);\\n return request;\\n }\\n setResponseType(value) {\\n this.responseType = value;\\n return this;\\n }\\n setMimeType(value) {\\n this.mimeType = value;\\n return this;\\n }\\n};\\n\\n// ../../../node_modules/three/src/loaders/AudioLoader.js\\nvar AudioLoader = class extends Loader {\\n constructor(manager) {\\n super(manager);\\n }\\n load(url, onLoad, onProgress, onError) {\\n const scope = this;\\n const loader = new FileLoader(this.manager);\\n loader.setResponseType(\\\\\\\"arraybuffer\\\\\\\");\\n loader.setPath(this.path);\\n loader.setRequestHeader(this.requestHeader);\\n loader.setWithCredentials(this.withCredentials);\\n loader.load(url, function(buffer) {\\n try {\\n const bufferCopy = buffer.slice(0);\\n const context = AudioContext.getContext();\\n context.decodeAudioData(bufferCopy, function(audioBuffer) {\\n onLoad(audioBuffer);\\n });\\n } catch (e) {\\n if (onError) {\\n onError(e);\\n } else {\\n console.error(e);\\n }\\n scope.manager.itemError(url);\\n }\\n }, onProgress, onError);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/utils/params/ParamsConfig.ts\\nvar ParamTemplate = class {\\n constructor(type, init_value, options) {\\n this.type = type;\\n this.init_value = init_value;\\n this.options = options;\\n }\\n};\\nvar ParamConfig = class {\\n static BUTTON(init_value, options) {\\n return new ParamTemplate(ParamType.BUTTON, init_value, options);\\n }\\n static BOOLEAN(init_value, options) {\\n return new ParamTemplate(ParamType.BOOLEAN, init_value, options);\\n }\\n static COLOR(init_value, options) {\\n if (init_value instanceof Color) {\\n init_value = init_value.toArray();\\n }\\n return new ParamTemplate(ParamType.COLOR, init_value, options);\\n }\\n static FLOAT(init_value, options) {\\n return new ParamTemplate(ParamType.FLOAT, init_value, options);\\n }\\n static FOLDER(init_value = null, options) {\\n return new ParamTemplate(ParamType.FOLDER, init_value, options);\\n }\\n static INTEGER(init_value, options) {\\n return new ParamTemplate(ParamType.INTEGER, init_value, options);\\n }\\n static RAMP(init_value = RampParam.DEFAULT_VALUE, options) {\\n return new ParamTemplate(ParamType.RAMP, init_value, options);\\n }\\n static STRING(init_value = \\\\\\\"\\\\\\\", options) {\\n return new ParamTemplate(ParamType.STRING, init_value, options);\\n }\\n static VECTOR2(init_value, options) {\\n if (init_value instanceof Vector2) {\\n init_value = init_value.toArray();\\n }\\n return new ParamTemplate(ParamType.VECTOR2, init_value, options);\\n }\\n static VECTOR3(init_value, options) {\\n if (init_value instanceof Vector3) {\\n init_value = init_value.toArray();\\n }\\n return new ParamTemplate(ParamType.VECTOR3, init_value, options);\\n }\\n static VECTOR4(init_value, options) {\\n if (init_value instanceof Vector4) {\\n init_value = init_value.toArray();\\n }\\n return new ParamTemplate(ParamType.VECTOR4, init_value, options);\\n }\\n static OPERATOR_PATH(init_value, options) {\\n return new ParamTemplate(ParamType.OPERATOR_PATH, init_value, options);\\n }\\n static NODE_PATH(init_value, options) {\\n return new ParamTemplate(ParamType.NODE_PATH, init_value, options);\\n }\\n static PARAM_PATH(init_value, options) {\\n return new ParamTemplate(ParamType.PARAM_PATH, init_value, options);\\n }\\n};\\nvar NodeParamsConfig = class {\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/Transform.ts\\nvar TransformTargetType;\\n(function(TransformTargetType2) {\\n TransformTargetType2[\\\\\\\"OBJECTS\\\\\\\"] = \\\\\\\"objects\\\\\\\";\\n TransformTargetType2[\\\\\\\"GEOMETRIES\\\\\\\"] = \\\\\\\"geometries\\\\\\\";\\n})(TransformTargetType || (TransformTargetType = {}));\\nvar TRANSFORM_TARGET_TYPES = [\\n TransformTargetType.GEOMETRIES,\\n TransformTargetType.OBJECTS\\n];\\nvar RotationOrder;\\n(function(RotationOrder2) {\\n RotationOrder2[\\\\\\\"XYZ\\\\\\\"] = \\\\\\\"XYZ\\\\\\\";\\n RotationOrder2[\\\\\\\"XZY\\\\\\\"] = \\\\\\\"XZY\\\\\\\";\\n RotationOrder2[\\\\\\\"YXZ\\\\\\\"] = \\\\\\\"YXZ\\\\\\\";\\n RotationOrder2[\\\\\\\"YZX\\\\\\\"] = \\\\\\\"YZX\\\\\\\";\\n RotationOrder2[\\\\\\\"ZYX\\\\\\\"] = \\\\\\\"ZYX\\\\\\\";\\n RotationOrder2[\\\\\\\"ZXY\\\\\\\"] = \\\\\\\"ZXY\\\\\\\";\\n})(RotationOrder || (RotationOrder = {}));\\nvar ROTATION_ORDERS = [\\n RotationOrder.XYZ,\\n RotationOrder.XZY,\\n RotationOrder.YXZ,\\n RotationOrder.YZX,\\n RotationOrder.ZXY,\\n RotationOrder.ZYX\\n];\\nvar DEFAULT_ROTATION_ORDER = RotationOrder.XYZ;\\nvar CoreTransform = class {\\n constructor() {\\n this._translation_matrix = new Matrix4();\\n this._translation_matrix_q = new Quaternion();\\n this._translation_matrix_s = new Vector3(1, 1, 1);\\n this._matrix = new Matrix4().identity();\\n this._matrix_q = new Quaternion();\\n this._matrix_euler = new Euler();\\n this._matrix_s = new Vector3();\\n this._rotate_geometry_m = new Matrix4();\\n this._rotate_geometry_q = new Quaternion();\\n this._rotate_geometry_vec_dest = new Vector3();\\n }\\n static setParamsFromMatrix(matrix, node, options = {}) {\\n let update_scale = options[\\\\\\\"scale\\\\\\\"];\\n if (update_scale == null) {\\n update_scale = true;\\n }\\n matrix.decompose(this.set_params_from_matrix_position, this.set_params_from_matrix_quaternion, this.set_params_from_matrix_scale);\\n this.set_params_from_matrix_euler.setFromQuaternion(this.set_params_from_matrix_quaternion);\\n this.set_params_from_matrix_euler.toVector3(this.set_params_from_matrix_rotation);\\n this.set_params_from_matrix_rotation.divideScalar(Math.PI / 180);\\n this.set_params_from_matrix_position.toArray(this.set_params_from_matrix_t);\\n this.set_params_from_matrix_rotation.toArray(this.set_params_from_matrix_r);\\n this.set_params_from_matrix_scale.toArray(this.set_params_from_matrix_s);\\n node.scene().batchUpdates(() => {\\n node.params.set_vector3(\\\\\\\"t\\\\\\\", this.set_params_from_matrix_t);\\n node.params.set_vector3(\\\\\\\"r\\\\\\\", this.set_params_from_matrix_r);\\n node.params.set_vector3(\\\\\\\"s\\\\\\\", this.set_params_from_matrix_s);\\n if (update_scale) {\\n node.params.set_float(\\\\\\\"scale\\\\\\\", 1);\\n }\\n });\\n }\\n static setParamsFromObject(object, node) {\\n object.position.toArray(this.set_params_from_object_position_array);\\n object.rotation.toArray(this.set_params_from_object_rotation_array);\\n this.set_params_from_object_rotation_deg.fromArray(this.set_params_from_object_rotation_array);\\n this.set_params_from_object_rotation_deg.multiplyScalar(180 / Math.PI);\\n this.set_params_from_object_rotation_deg.toArray(this.set_params_from_object_rotation_array);\\n node.scene().batchUpdates(() => {\\n node.params.set_vector3(\\\\\\\"t\\\\\\\", this.set_params_from_object_position_array);\\n node.params.set_vector3(\\\\\\\"r\\\\\\\", this.set_params_from_object_rotation_array);\\n });\\n }\\n translationMatrix(t) {\\n this._translation_matrix.compose(t, this._translation_matrix_q, this._translation_matrix_s);\\n return this._translation_matrix;\\n }\\n matrix(t, r, s, scale, rotation_order) {\\n this._matrix_euler.set(degToRad(r.x), degToRad(r.y), degToRad(r.z), rotation_order);\\n this._matrix_q.setFromEuler(this._matrix_euler);\\n this._matrix_s.copy(s).multiplyScalar(scale);\\n this._matrix.compose(t, this._matrix_q, this._matrix_s);\\n return this._matrix;\\n }\\n rotateGeometry(geometry, vec_origin, vec_dest) {\\n this._rotate_geometry_vec_dest.copy(vec_dest);\\n this._rotate_geometry_vec_dest.normalize();\\n this._rotate_geometry_q.setFromUnitVectors(vec_origin, this._rotate_geometry_vec_dest);\\n this._rotate_geometry_m.makeRotationFromQuaternion(this._rotate_geometry_q);\\n geometry.applyMatrix4(this._rotate_geometry_m);\\n }\\n static decomposeMatrix(object) {\\n object.matrix.decompose(object.position, object.quaternion, object.scale);\\n }\\n};\\nCoreTransform.set_params_from_matrix_position = new Vector3();\\nCoreTransform.set_params_from_matrix_quaternion = new Quaternion();\\nCoreTransform.set_params_from_matrix_scale = new Vector3();\\nCoreTransform.set_params_from_matrix_euler = new Euler();\\nCoreTransform.set_params_from_matrix_rotation = new Vector3();\\nCoreTransform.set_params_from_matrix_t = [0, 0, 0];\\nCoreTransform.set_params_from_matrix_r = [0, 0, 0];\\nCoreTransform.set_params_from_matrix_s = [0, 0, 0];\\nCoreTransform.set_params_from_object_position_array = [0, 0, 0];\\nCoreTransform.set_params_from_object_rotation_deg = new Vector3();\\nCoreTransform.set_params_from_object_rotation_array = [0, 0, 0];\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/obj/utils/TransformController.ts\\nfunction TransformedParamConfig(Base, default_params) {\\n const matrixAutoUpdate = default_params?.matrixAutoUpdate || false;\\n return class Mixin extends Base {\\n constructor() {\\n super(...arguments);\\n this.transform = ParamConfig.FOLDER();\\n this.keepPosWhenParenting = ParamConfig.BOOLEAN(0);\\n this.rotationOrder = ParamConfig.INTEGER(ROTATION_ORDERS.indexOf(RotationOrder.XYZ), {\\n menu: {\\n entries: ROTATION_ORDERS.map((order, v) => {\\n return {name: order, value: v};\\n })\\n }\\n });\\n this.t = ParamConfig.VECTOR3([0, 0, 0]);\\n this.r = ParamConfig.VECTOR3([0, 0, 0]);\\n this.s = ParamConfig.VECTOR3([1, 1, 1]);\\n this.scale = ParamConfig.FLOAT(1);\\n this.matrixAutoUpdate = ParamConfig.BOOLEAN(matrixAutoUpdate ? 1 : 0);\\n this.updateTransformFromObject = ParamConfig.BUTTON(null, {\\n callback: (node) => {\\n TransformController.PARAM_CALLBACK_update_transform_from_object(node);\\n }\\n });\\n }\\n };\\n}\\nvar TransformedParamsConfig = class extends TransformedParamConfig(NodeParamsConfig) {\\n};\\nvar HOOK_NAME = \\\\\\\"_cook_main_without_inputs_when_dirty\\\\\\\";\\nvar TransformController = class {\\n constructor(node) {\\n this.node = node;\\n this._cook_main_without_inputs_when_dirty_bound = this._cook_main_without_inputs_when_dirty.bind(this);\\n this._core_transform = new CoreTransform();\\n this._keep_pos_when_parenting_m_object = new Matrix4();\\n this._keep_pos_when_parenting_m_new_parent_inv = new Matrix4();\\n }\\n initializeNode() {\\n if (!this.node.dirtyController.hasHook(HOOK_NAME)) {\\n this.node.dirtyController.addPostDirtyHook(HOOK_NAME, this._cook_main_without_inputs_when_dirty_bound);\\n }\\n }\\n async _cook_main_without_inputs_when_dirty() {\\n await this.node.cookController.cookMainWithoutInputs();\\n }\\n update() {\\n this.update_transform_with_matrix();\\n const object = this.node.object;\\n object.matrixAutoUpdate = isBooleanTrue(this.node.pv.matrixAutoUpdate);\\n }\\n update_transform_with_matrix(matrix) {\\n const object = this.node.object;\\n if (matrix != null && !matrix.equals(object.matrix)) {\\n object.matrix.copy(matrix);\\n object.dispatchEvent({type: \\\\\\\"change\\\\\\\"});\\n } else {\\n this._update_matrix_from_params_with_core_transform();\\n }\\n }\\n _update_matrix_from_params_with_core_transform() {\\n const object = this.node.object;\\n let prev_auto_update = object.matrixAutoUpdate;\\n if (prev_auto_update) {\\n object.matrixAutoUpdate = false;\\n }\\n const matrix = this._core_transform.matrix(this.node.pv.t, this.node.pv.r, this.node.pv.s, this.node.pv.scale, ROTATION_ORDERS[this.node.pv.rotationOrder]);\\n object.matrix.identity();\\n object.applyMatrix4(matrix);\\n this._apply_look_at();\\n object.updateMatrix();\\n if (prev_auto_update) {\\n object.matrixAutoUpdate = true;\\n }\\n object.dispatchEvent({type: \\\\\\\"change\\\\\\\"});\\n }\\n _apply_look_at() {\\n }\\n set_params_from_matrix(matrix, options = {}) {\\n CoreTransform.setParamsFromMatrix(matrix, this.node, options);\\n }\\n static update_node_transform_params_if_required(node, new_parent_object) {\\n node.transformController.update_node_transform_params_if_required(new_parent_object);\\n }\\n update_node_transform_params_if_required(new_parent_object) {\\n if (!isBooleanTrue(this.node.pv.keepPosWhenParenting)) {\\n return;\\n }\\n if (!this.node.scene().loadingController.loaded()) {\\n return;\\n }\\n if (new_parent_object == this.node.object.parent) {\\n return;\\n }\\n const object = this.node.object;\\n object.updateMatrixWorld(true);\\n new_parent_object.updateMatrixWorld(true);\\n this._keep_pos_when_parenting_m_object.copy(object.matrixWorld);\\n this._keep_pos_when_parenting_m_new_parent_inv.copy(new_parent_object.matrixWorld);\\n this._keep_pos_when_parenting_m_new_parent_inv.invert();\\n this._keep_pos_when_parenting_m_object.premultiply(this._keep_pos_when_parenting_m_new_parent_inv);\\n CoreTransform.setParamsFromMatrix(this._keep_pos_when_parenting_m_object, this.node, {scale: true});\\n }\\n update_node_transform_params_from_object(update_matrix = false) {\\n const object = this.node.object;\\n if (update_matrix) {\\n object.updateMatrix();\\n }\\n CoreTransform.setParamsFromMatrix(object.matrix, this.node, {scale: true});\\n }\\n static PARAM_CALLBACK_update_transform_from_object(node) {\\n node.transformController.update_node_transform_params_from_object();\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/obj/utils/HierarchyController.ts\\nvar HierarchyController = class {\\n constructor(node) {\\n this.node = node;\\n }\\n initializeNode() {\\n this.node.io.inputs.setCount(0, 1);\\n this.node.io.inputs.set_depends_on_inputs(false);\\n this.node.io.outputs.setHasOneOutput();\\n this.node.io.inputs.add_on_set_input_hook(\\\\\\\"on_input_updated:update_parent\\\\\\\", () => {\\n this.on_input_updated();\\n });\\n }\\n static on_input_updated(node) {\\n const parent_object = node.root().getParentForNode(node);\\n if (node.transformController && parent_object) {\\n TransformController.update_node_transform_params_if_required(node, parent_object);\\n }\\n if (node.io.inputs.input(0) != null) {\\n node.root().addToParentTransform(node);\\n } else {\\n node.root().removeFromParentTransform(node);\\n }\\n }\\n on_input_updated() {\\n HierarchyController.on_input_updated(this.node);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/loader/_Base.ts\\nvar LOADING_MANAGER = new LoadingManager();\\nLOADING_MANAGER.setURLModifier((url) => {\\n const remapedUrl = Poly.assetUrls.remapedUrl(url);\\n if (remapedUrl) {\\n return remapedUrl;\\n }\\n const blobUrl = Poly.blobs.blobUrl(url);\\n if (blobUrl) {\\n return blobUrl;\\n }\\n return url;\\n});\\nvar CoreBaseLoader2 = class {\\n constructor(_url, _scene, _node) {\\n this._url = _url;\\n this._scene = _scene;\\n this._node = _node;\\n this.loadingManager = LOADING_MANAGER;\\n }\\n static extension(url) {\\n let ext = null;\\n try {\\n const _url = new URL(url);\\n ext = _url.searchParams.get(\\\\\\\"ext\\\\\\\");\\n } catch (e) {\\n }\\n if (!ext) {\\n const url_without_params = url.split(\\\\\\\"?\\\\\\\")[0];\\n const elements = url_without_params.split(\\\\\\\".\\\\\\\");\\n ext = elements[elements.length - 1].toLowerCase();\\n }\\n return ext;\\n }\\n extension() {\\n return CoreBaseLoader2.extension(this._url);\\n }\\n async _urlToLoad() {\\n const {storedUrl, fullUrl} = this._urlData();\\n if (this._node) {\\n await Poly.blobs.fetchBlobForNode({storedUrl, fullUrl, node: this._node});\\n }\\n const blobUrl = Poly.blobs.blobUrl(storedUrl);\\n return blobUrl || fullUrl;\\n }\\n deregisterUrl() {\\n const {storedUrl} = this._urlData();\\n Poly.blobs.deregisterUrl(storedUrl);\\n }\\n _urlData() {\\n let fullUrl = this._url;\\n const storedUrl = this._url.split(\\\\\\\"?\\\\\\\")[0];\\n if (fullUrl[0] != \\\\\\\"h\\\\\\\") {\\n const assets_root = this._scene.assets.root();\\n if (assets_root) {\\n fullUrl = `${assets_root}${fullUrl}`;\\n }\\n }\\n return {fullUrl, storedUrl};\\n }\\n static async _loadMultipleBlobGlobal(options) {\\n const promises = [];\\n for (let file of options.files) {\\n const storedUrl = file.storedUrl;\\n const fullUrl = file.fullUrl;\\n const node = options.node;\\n promises.push(Poly.blobs.fetchBlobGlobal({storedUrl, fullUrl, node}));\\n }\\n const responses = await Promise.all(promises);\\n for (let response of responses) {\\n if (response.error) {\\n options.node.states.error.set(options.error);\\n }\\n }\\n }\\n};\\nvar CoreBaseLoader = CoreBaseLoader2;\\nCoreBaseLoader.loadingManager = LOADING_MANAGER;\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/loader/Audio.ts\\nvar Extension;\\n(function(Extension2) {\\n Extension2[\\\\\\\"MP3\\\\\\\"] = \\\\\\\"mp3\\\\\\\";\\n Extension2[\\\\\\\"WAV\\\\\\\"] = \\\\\\\"wav\\\\\\\";\\n})(Extension || (Extension = {}));\\nvar AUDIO_EXTENSIONS = [Extension.MP3, Extension.WAV];\\nvar CoreLoaderAudio = class extends CoreBaseLoader {\\n async load() {\\n const audioLoader = new AudioLoader(this.loadingManager);\\n const url = await this._urlToLoad();\\n return new Promise((resolve) => {\\n audioLoader.load(url, function(buffer) {\\n resolve(buffer);\\n });\\n });\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/poly/registers/nodes/types/Obj.ts\\nvar ObjType;\\n(function(ObjType2) {\\n ObjType2[\\\\\\\"GEO\\\\\\\"] = \\\\\\\"geo\\\\\\\";\\n ObjType2[\\\\\\\"CUBE_CAMERA\\\\\\\"] = \\\\\\\"cubeCamera\\\\\\\";\\n ObjType2[\\\\\\\"AUDIO_LISTENER\\\\\\\"] = \\\\\\\"audioListener\\\\\\\";\\n ObjType2[\\\\\\\"POSITIONAL_AUDIO\\\\\\\"] = \\\\\\\"positionalAudio\\\\\\\";\\n})(ObjType || (ObjType = {}));\\n\\n// src/engine/nodes/obj/AudioAnalyzer.ts\\nvar AudioAnalyzerParamConfig = class extends NodeParamsConfig {\\n constructor() {\\n super(...arguments);\\n this.url = ParamConfig.STRING(\\\\\\\"\\\\\\\", {\\n fileBrowse: {type: [FileType.AUDIO]}\\n });\\n this.listener = ParamConfig.NODE_PATH(\\\\\\\"\\\\\\\", {\\n nodeSelection: {\\n context: NodeContext.OBJ,\\n types: [ObjType.AUDIO_LISTENER]\\n }\\n });\\n this.fftSize = ParamConfig.INTEGER(128, {\\n range: [1, 1024]\\n });\\n this.output0 = ParamConfig.FLOAT(1);\\n this.output1 = ParamConfig.FLOAT(1);\\n this.play = ParamConfig.BUTTON(null, {\\n callback: (node) => {\\n AudioAnalyzerObjNode.PARAM_CALLBACK_play(node);\\n }\\n });\\n this.pause = ParamConfig.BUTTON(null, {\\n callback: (node) => {\\n AudioAnalyzerObjNode.PARAM_CALLBACK_pause(node);\\n }\\n });\\n }\\n};\\nvar ParamsConfig = new AudioAnalyzerParamConfig();\\nvar AudioAnalyzerObjNode = class extends TypedObjNode {\\n constructor() {\\n super(...arguments);\\n this.paramsConfig = ParamsConfig;\\n this.hierarchyController = new HierarchyController(this);\\n this.flags = new FlagsControllerD(this);\\n }\\n static type() {\\n return \\\\\\\"audioAnalyzer\\\\\\\";\\n }\\n createObject() {\\n const group = new Group();\\n group.matrixAutoUpdate = false;\\n return group;\\n }\\n initializeNode() {\\n this.hierarchyController.initializeNode();\\n }\\n cook() {\\n this.cookController.endCook();\\n }\\n async audioAnalyzer() {\\n return this._audioAnalyzer = this._audioAnalyzer || await this._createAudioAnalyzer();\\n }\\n async _createAudioAnalyzer() {\\n console.log(\\\\\\\"_createAudioAnalyzer\\\\\\\");\\n if (this.p.listener.isDirty()) {\\n await this.p.listener.compute();\\n }\\n const node = this.pv.listener.nodeWithContext(NodeContext.OBJ);\\n if (!node) {\\n return;\\n }\\n console.log(\\\\\\\"_createAudioAnalyzer B\\\\\\\");\\n const listener = node.object;\\n this._audio = new Audio2(listener);\\n if (/(iPad|iPhone|iPod)/g.test(navigator.userAgent)) {\\n const loader2 = new AudioLoader();\\n loader2.load(this.pv.url, (buffer) => {\\n if (this._audio) {\\n this._audio.setBuffer(buffer);\\n this._audio.hasPlaybackControl = true;\\n console.log(\\\\\\\"play A\\\\\\\");\\n }\\n });\\n } else {\\n this._mediaElement = new Audio(this.pv.url);\\n console.log(\\\\\\\"play B\\\\\\\");\\n this._audio.setMediaElementSource(this._mediaElement);\\n this._audio.hasPlaybackControl = true;\\n }\\n const audioAnalyzer = new AudioAnalyser(this._audio, this.pv.fftSize);\\n const loader = new CoreLoaderAudio(this.pv.url, this.scene(), this);\\n this.scene().registerOnBeforeTick(`audioAnalyzer-${this.path()}`, () => {\\n if (this._audioAnalyzer) {\\n this._audioAnalyzer.getFrequencyData();\\n const value = this._audioAnalyzer.data[0];\\n console.log(value, this._audioAnalyzer.data);\\n this.p.output0.set(value);\\n const average = this._audioAnalyzer.getAverageFrequency();\\n this.p.output1.set(average);\\n }\\n });\\n return audioAnalyzer;\\n }\\n isPlaying() {\\n if (this._audio) {\\n return isBooleanTrue(this._audio.isPlaying);\\n }\\n if (this._mediaElement) {\\n return isBooleanTrue(this._mediaElement.isPlaying);\\n }\\n return false;\\n }\\n static PARAM_CALLBACK_play(node) {\\n node.PARAM_CALLBACK_play();\\n }\\n static PARAM_CALLBACK_pause(node) {\\n node.PARAM_CALLBACK_pause();\\n }\\n PARAM_CALLBACK_play() {\\n this.audioAnalyzer();\\n if (!this.isPlaying()) {\\n console.log(\\\\\\\"play !\\\\\\\");\\n this._audio?.play();\\n this._mediaElement?.play();\\n }\\n }\\n PARAM_CALLBACK_pause() {\\n this.audioAnalyzer();\\n if (this.isPlaying()) {\\n console.log(\\\\\\\"-pause-\\\\\\\");\\n this._audio?.pause();\\n this._mediaElement?.pause();\\n }\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/core/geometry/Group.ts\\nvar CoreGroup = class {\\n constructor() {\\n this._objects = [];\\n this._objects_with_geo = [];\\n this.touch();\\n }\\n timestamp() {\\n return this._timestamp;\\n }\\n touch() {\\n const performance2 = Poly.performance.performanceManager();\\n this._timestamp = performance2.now();\\n this.reset();\\n }\\n reset() {\\n this._bounding_box = void 0;\\n this._core_geometries = void 0;\\n this._core_objects = void 0;\\n }\\n clone() {\\n const core_group = new CoreGroup();\\n if (this._objects) {\\n const objects = [];\\n for (let object of this._objects) {\\n objects.push(CoreObject.clone(object));\\n }\\n core_group.setObjects(objects);\\n }\\n return core_group;\\n }\\n setObjects(objects) {\\n this._objects = objects;\\n this._objects_with_geo = objects.filter((obj) => obj.geometry != null);\\n this.touch();\\n }\\n objects() {\\n return this._objects;\\n }\\n objectsWithGeo() {\\n return this._objects_with_geo;\\n }\\n coreObjects() {\\n return this._core_objects = this._core_objects || this._create_core_objects();\\n }\\n _create_core_objects() {\\n if (this._objects) {\\n return this._objects.map((object, i) => new CoreObject(object, i));\\n }\\n return [];\\n }\\n objectsData() {\\n if (this._objects) {\\n return this._objects.map((object) => this._objectData(object));\\n }\\n return [];\\n }\\n _objectData(object) {\\n let points_count = 0;\\n if (object.geometry) {\\n points_count = CoreGeometry.pointsCount(object.geometry);\\n }\\n return {\\n type: objectTypeFromConstructor(object.constructor),\\n name: object.name,\\n children_count: object.children.length,\\n points_count\\n };\\n }\\n geometries() {\\n const list = [];\\n for (let core_object of this.coreObjects()) {\\n const geometry = core_object.object().geometry;\\n if (geometry) {\\n list.push(geometry);\\n }\\n }\\n return list;\\n }\\n coreGeometries() {\\n return this._core_geometries = this._core_geometries || this._createCoreGeometries();\\n }\\n _createCoreGeometries() {\\n const list = [];\\n for (let geometry of this.geometries()) {\\n list.push(new CoreGeometry(geometry));\\n }\\n return list;\\n }\\n static geometryFromObject(object) {\\n if (object.isMesh || object.isLine || object.isPoints) {\\n return object.geometry;\\n }\\n return null;\\n }\\n faces() {\\n const faces = [];\\n for (let object of this.objectsWithGeo()) {\\n if (object.geometry) {\\n const coreGeo = new CoreGeometry(object.geometry);\\n const geoFaces = coreGeo.faces();\\n for (let geoFace of geoFaces) {\\n geoFace.applyMatrix4(object.matrix);\\n faces.push(geoFace);\\n }\\n }\\n }\\n return faces;\\n }\\n points() {\\n return this.coreGeometries().map((g) => g.points()).flat();\\n }\\n pointsCount() {\\n return ArrayUtils.sum(this.coreGeometries().map((g) => g.pointsCount()));\\n }\\n totalPointsCount() {\\n if (this._objects) {\\n let sum = 0;\\n for (let object of this._objects) {\\n object.traverse((object2) => {\\n const geometry = object2.geometry;\\n if (geometry) {\\n sum += CoreGeometry.pointsCount(geometry);\\n }\\n });\\n }\\n return sum;\\n } else {\\n return 0;\\n }\\n }\\n pointsFromGroup(group) {\\n if (group) {\\n const indices = CoreString.indices(group);\\n const points2 = this.points();\\n return ArrayUtils.compact(indices.map((i) => points2[i]));\\n } else {\\n return this.points();\\n }\\n }\\n static _fromObjects(objects) {\\n const core_group = new CoreGroup();\\n core_group.setObjects(objects);\\n return core_group;\\n }\\n objectsFromGroup(group_name) {\\n return this.coreObjectsFromGroup(group_name).map((co) => co.object());\\n }\\n coreObjectsFromGroup(group_name) {\\n group_name = group_name.trim();\\n if (group_name !== \\\\\\\"\\\\\\\") {\\n const index = parseInt(group_name);\\n if (!CoreType.isNaN(index)) {\\n return ArrayUtils.compact([this.coreObjects()[index]]);\\n } else {\\n return this.coreObjects().filter((core_object) => {\\n return CoreString.matchMask(group_name, core_object.name());\\n });\\n }\\n } else {\\n return this.coreObjects();\\n }\\n }\\n boundingBox(forceUpdate = false) {\\n if (forceUpdate) {\\n return this._bounding_box = this._computeBoundingBox();\\n }\\n return this._bounding_box = this._bounding_box || this._computeBoundingBox();\\n }\\n center() {\\n const center = new Vector3();\\n this.boundingBox().getCenter(center);\\n return center;\\n }\\n size() {\\n const size = new Vector3();\\n this.boundingBox().getSize(size);\\n return size;\\n }\\n _computeBoundingBox() {\\n let bbox;\\n if (this._objects) {\\n for (let object of this._objects) {\\n const geometry = object.geometry;\\n if (geometry) {\\n geometry.computeBoundingBox();\\n if (bbox) {\\n bbox.expandByObject(object);\\n } else {\\n if (geometry.boundingBox) {\\n bbox = geometry.boundingBox.clone();\\n }\\n }\\n }\\n }\\n }\\n bbox = bbox || new Box3(new Vector3(-1, -1, -1), new Vector3(1, 1, 1));\\n return bbox;\\n }\\n computeVertexNormals() {\\n for (let object of this.coreObjects()) {\\n object.computeVertexNormals();\\n }\\n }\\n hasAttrib(name) {\\n let first_geometry;\\n if ((first_geometry = this.coreGeometries()[0]) != null) {\\n return first_geometry.hasAttrib(name);\\n } else {\\n return false;\\n }\\n }\\n attribType(name) {\\n const first_core_geometry = this.coreGeometries()[0];\\n if (first_core_geometry != null) {\\n return first_core_geometry.attribType(name);\\n } else {\\n return null;\\n }\\n }\\n objectAttribType(name) {\\n const first_core_object = this.coreObjects()[0];\\n if (first_core_object != null) {\\n return first_core_object.attribType(name);\\n } else {\\n return null;\\n }\\n }\\n renameAttrib(old_name, new_name, attrib_class) {\\n switch (attrib_class) {\\n case CoreConstant.ATTRIB_CLASS.VERTEX:\\n if (this.hasAttrib(old_name)) {\\n if (this._objects) {\\n for (let object of this._objects) {\\n object.traverse((child) => {\\n const geometry = CoreGroup.geometryFromObject(child);\\n if (geometry) {\\n const core_geometry = new CoreGeometry(geometry);\\n core_geometry.renameAttrib(old_name, new_name);\\n }\\n });\\n }\\n }\\n }\\n break;\\n case CoreConstant.ATTRIB_CLASS.OBJECT:\\n if (this.hasAttrib(old_name)) {\\n if (this._objects) {\\n for (let object of this._objects) {\\n object.traverse((child) => {\\n const core_object = new CoreObject(child, 0);\\n core_object.renameAttrib(old_name, new_name);\\n });\\n }\\n }\\n }\\n break;\\n }\\n }\\n attribNames() {\\n let first_geometry;\\n if ((first_geometry = this.coreGeometries()[0]) != null) {\\n return first_geometry.attribNames();\\n } else {\\n return [];\\n }\\n }\\n objectAttribNames() {\\n let first_object;\\n if ((first_object = this.coreObjects()[0]) != null) {\\n return first_object.attribNames();\\n } else {\\n return [];\\n }\\n }\\n attribNamesMatchingMask(masks_string) {\\n const masks = CoreString.attribNames(masks_string);\\n const matching_attrib_names = [];\\n for (let attrib_name of this.attribNames()) {\\n for (let mask of masks) {\\n if (CoreString.matchMask(attrib_name, mask)) {\\n matching_attrib_names.push(attrib_name);\\n } else {\\n const remapped = CoreAttribute.remapName(mask);\\n if (attrib_name == remapped) {\\n matching_attrib_names.push(attrib_name);\\n }\\n }\\n }\\n }\\n return ArrayUtils.uniq(matching_attrib_names);\\n }\\n attribSizes() {\\n let first_geometry;\\n if ((first_geometry = this.coreGeometries()[0]) != null) {\\n return first_geometry.attribSizes();\\n } else {\\n return {};\\n }\\n }\\n objectAttribSizes() {\\n let first_object;\\n if ((first_object = this.coreObjects()[0]) != null) {\\n return first_object.attribSizes();\\n } else {\\n return {};\\n }\\n }\\n attribSize(attrib_name) {\\n let first_geometry;\\n if ((first_geometry = this.coreGeometries()[0]) != null) {\\n return first_geometry.attribSize(attrib_name);\\n } else {\\n return 0;\\n }\\n }\\n addNumericVertexAttrib(name, size, default_value) {\\n if (default_value == null) {\\n default_value = CoreAttribute.default_value(size);\\n }\\n for (let core_geometry of this.coreGeometries()) {\\n core_geometry.addNumericAttrib(name, size, default_value);\\n }\\n }\\n static clone(src_group) {\\n const new_group = new Group();\\n src_group.children.forEach((src_object) => {\\n const new_object = CoreObject.clone(src_object);\\n new_group.add(new_object);\\n });\\n return new_group;\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/operations/_Base.ts\\nvar BaseOperation = class {\\n constructor(_scene, states, _node) {\\n this._scene = _scene;\\n this.states = states;\\n this._node = _node;\\n }\\n static type() {\\n throw \\\\\\\"type to be overriden\\\\\\\";\\n }\\n type() {\\n const c = this.constructor;\\n return c.type();\\n }\\n static context() {\\n console.error(\\\\\\\"operation has no node_context\\\\\\\", this);\\n throw \\\\\\\"context requires override\\\\\\\";\\n }\\n context() {\\n const c = this.constructor;\\n return c.context();\\n }\\n scene() {\\n return this._scene;\\n }\\n cook(input_contents, params) {\\n }\\n};\\nBaseOperation.DEFAULT_PARAMS = {};\\nBaseOperation.INPUT_CLONED_STATE = [];\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/operations/sop/_Base.ts\\nvar BaseSopOperation = class extends BaseOperation {\\n static context() {\\n return NodeContext.SOP;\\n }\\n cook(input_contents, params) {\\n }\\n createCoreGroupFromObjects(objects) {\\n const core_group = new CoreGroup();\\n core_group.setObjects(objects);\\n return core_group;\\n }\\n createCoreGroupFromGeometry(geometry, type = ObjectType.MESH) {\\n const object = BaseSopOperation.createObject(geometry, type);\\n return this.createCoreGroupFromObjects([object]);\\n }\\n createObject(geometry, type, material) {\\n return BaseSopOperation.createObject(geometry, type, material);\\n }\\n static createObject(geometry, type, material) {\\n this.createIndexIfNone(geometry);\\n const object_constructor = OBJECT_CONSTRUCTOR_BY_OBJECT_TYPE[type];\\n material = material || CoreConstant.MATERIALS[type].clone();\\n const object = new object_constructor(geometry, material);\\n object.castShadow = true;\\n object.receiveShadow = true;\\n object.frustumCulled = false;\\n object.matrixAutoUpdate = false;\\n return object;\\n }\\n createIndexIfNone(geometry) {\\n BaseSopOperation.createIndexIfNone(geometry);\\n }\\n static createIndexIfNone(geometry) {\\n CoreGeometryIndexBuilder.createIndexIfNone(geometry);\\n }\\n};\\n\\n// ../../../node_modules/@polygonjs/polygonjs/src/engine/nodes/sop/_Base.ts\\nvar MESSAGE;\\n(function(MESSAGE2) {\\n MESSAGE2[\\\\\\\"FROM_SET_CORE_GROUP\\\\\\\"] = \\\\\\\"from set_core_group\\\\\\\";\\n MESSAGE2[\\\\\\\"FROM_SET_GROUP\\\\\\\"] = \\\\\\\"from set_group\\\\\\\";\\n MESSAGE2[\\\\\\\"FROM_SET_OBJECTS\\\\\\\"] = \\\\\\\"from set_objects\\\\\\\";\\n MESSAGE2[\\\\\\\"FROM_SET_OBJECT\\\\\\\"] = \\\\\\\"from set_object\\\\\\\";\\n MESSAGE2[\\\\\\\"FROM_SET_GEOMETRIES\\\\\\\"] = \\\\\\\"from set_geometries\\\\\\\";\\n MESSAGE2[\\\\\\\"FROM_SET_GEOMETRY\\\\\\\"] = \\\\\\\"from set_geometry\\\\\\\";\\n})(MESSAGE || (MESSAGE = {}));\\nvar INPUT_GEOMETRY_NAME = \\\\\\\"input geometry\\\\\\\";\\nvar DEFAULT_INPUT_NAMES2 = [INPUT_GEOMETRY_NAME, INPUT_GEOMETRY_NAME, INPUT_GEOMETRY_NAME, INPUT_GEOMETRY_NAME];\\nvar TypedSopNode = class extends TypedNode {\\n constructor() {\\n super(...arguments);\\n this.flags = new FlagsControllerDBO(this);\\n }\\n static context() {\\n return NodeContext.SOP;\\n }\\n static displayedInputNames() {\\n return DEFAULT_INPUT_NAMES2;\\n }\\n initializeBaseNode() {\\n this.flags.display.set(false);\\n this.flags.display.onUpdate(() => {\\n if (this.flags.display.active()) {\\n const parent = this.parent();\\n if (parent && parent.displayNodeController) {\\n parent.displayNodeController.setDisplayNode(this);\\n }\\n }\\n });\\n this.io.outputs.setHasOneOutput();\\n }\\n setCoreGroup(core_group) {\\n this._setContainer(core_group, MESSAGE.FROM_SET_CORE_GROUP);\\n }\\n setObject(object) {\\n this._setContainerObjects([object], MESSAGE.FROM_SET_OBJECT);\\n }\\n setObjects(objects) {\\n this._setContainerObjects(objects, MESSAGE.FROM_SET_OBJECTS);\\n }\\n setGeometry(geometry, type = ObjectType.MESH) {\\n const object = this.createObject(geometry, type);\\n this._setContainerObjects([object], MESSAGE.FROM_SET_GEOMETRY);\\n }\\n setGeometries(geometries, type = ObjectType.MESH) {\\n const objects = [];\\n let object;\\n for (let geometry of geometries) {\\n object = this.createObject(geometry, type);\\n objects.push(object);\\n }\\n this._setContainerObjects(objects, MESSAGE.FROM_SET_GEOMETRIES);\\n }\\n _setContainerObjects(objects, message) {\\n const core_group = this.containerController.container().coreContent() || new CoreGroup();\\n core_group.setObjects(objects);\\n core_group.touch();\\n this._setContainer(core_group);\\n }\\n static createObject(geometry, type, material) {\\n return BaseSopOperation.createObject(geometry, type, material);\\n }\\n createObject(geometry, type, material) {\\n return TypedSopNode.createObject(geometry, type, material);\\n }\\n static createIndexIfNone(geometry) {\\n BaseSopOperation.createIndexIfNone(geometry);\\n }\\n _createIndexIfNone(geometry) {\\n TypedSopNode.createIndexIfNone(geometry);\\n }\\n};\\n\\n// src/engine/nodes/sop/AudioAnalyzer.ts\\nvar AudioAnalyzerParamConfig2 = class extends NodeParamsConfig {\\n constructor() {\\n super(...arguments);\\n this.url = ParamConfig.STRING(\\\\\\\"\\\\\\\", {\\n fileBrowse: {type: [FileType.AUDIO]}\\n });\\n this.listener = ParamConfig.NODE_PATH(\\\\\\\"\\\\\\\", {\\n nodeSelection: {\\n context: NodeContext.OBJ,\\n types: [ObjType.AUDIO_LISTENER]\\n }\\n });\\n this.fftSize = ParamConfig.INTEGER(128, {\\n range: [1, 1024]\\n });\\n this.outputMult = ParamConfig.FLOAT(0.1);\\n this.average = ParamConfig.FLOAT(1, {\\n cook: false\\n });\\n this.play = ParamConfig.BUTTON(null, {\\n callback: (node) => {\\n AudioAnalyzerSopNode.PARAM_CALLBACK_play(node);\\n }\\n });\\n this.pause = ParamConfig.BUTTON(null, {\\n callback: (node) => {\\n AudioAnalyzerSopNode.PARAM_CALLBACK_pause(node);\\n }\\n });\\n }\\n};\\nvar ParamsConfig2 = new AudioAnalyzerParamConfig2();\\nvar AudioAnalyzerSopNode = class extends TypedSopNode {\\n constructor() {\\n super(...arguments);\\n this.paramsConfig = ParamsConfig2;\\n }\\n static type() {\\n return \\\\\\\"audioAnalyzer\\\\\\\";\\n }\\n initializeNode() {\\n this.io.inputs.setCount(1);\\n this.addGraphInput(this.scene().timeController.graphNode);\\n this.io.inputs.initInputsClonedState(InputCloneMode.FROM_NODE);\\n }\\n cook(input_contents) {\\n console.log(\\\\\\\"cook\\\\\\\");\\n const core_group = input_contents[0];\\n const objects = core_group.objects();\\n if (this._audioAnalyzer) {\\n const outputMult = this.pv.outputMult;\\n this._audioAnalyzer.getFrequencyData();\\n const data = this._audioAnalyzer.data;\\n const maxCount = Math.min(objects.length, data.length);\\n for (let i = 0; i < maxCount; i++) {\\n const object = objects[i];\\n const dataEntry = data[i] * outputMult;\\n object.position.y = dataEntry;\\n }\\n const average = this._audioAnalyzer.getAverageFrequency();\\n this.p.average.set(average);\\n }\\n this.setCoreGroup(core_group);\\n }\\n async audioAnalyzer() {\\n return this._audioAnalyzer = this._audioAnalyzer || await this._createAudioAnalyzer();\\n }\\n async _createAudioAnalyzer() {\\n console.log(\\\\\\\"_createAudioAnalyzer\\\\\\\");\\n if (this.p.listener.isDirty()) {\\n await this.p.listener.compute();\\n }\\n const node = this.pv.listener.nodeWithContext(NodeContext.OBJ);\\n if (!node) {\\n return;\\n }\\n console.log(\\\\\\\"_createAudioAnalyzer B\\\\\\\");\\n const listener = node.object;\\n this._audio = new Audio2(listener);\\n if (/(iPad|iPhone|iPod)/g.test(navigator.userAgent)) {\\n const loader = new AudioLoader();\\n loader.load(this.pv.url, (buffer) => {\\n if (this._audio) {\\n this._audio.setBuffer(buffer);\\n console.log(\\\\\\\"play A\\\\\\\");\\n }\\n });\\n } else {\\n this._mediaElement = new Audio(this.pv.url);\\n console.log(\\\\\\\"play B\\\\\\\");\\n this._audio.setMediaElementSource(this._mediaElement);\\n }\\n const audioAnalyzer = new AudioAnalyser(this._audio, this.pv.fftSize);\\n return audioAnalyzer;\\n }\\n isPlaying() {\\n if (this._audio) {\\n return isBooleanTrue(this._audio.isPlaying);\\n }\\n if (this._mediaElement) {\\n return isBooleanTrue(this._mediaElement.isPlaying);\\n }\\n return false;\\n }\\n static PARAM_CALLBACK_play(node) {\\n node.PARAM_CALLBACK_play();\\n }\\n static PARAM_CALLBACK_pause(node) {\\n node.PARAM_CALLBACK_pause();\\n }\\n PARAM_CALLBACK_play() {\\n this.audioAnalyzer();\\n if (!this.isPlaying()) {\\n console.log(\\\\\\\"play !\\\\\\\");\\n this._audio?.play();\\n this._mediaElement?.play();\\n }\\n }\\n PARAM_CALLBACK_pause() {\\n if (this.isPlaying()) {\\n this._audio?.pause();\\n this._mediaElement?.pause();\\n }\\n }\\n};\\n\\n// src/polygonjs/PolyConfig.ts\\nfunction configurePolygonjs(poly) {\\n poly.nodesRegister.register(AudioAnalyzerObjNode, 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","consoleMessages":[{"text":"Unrecognized Content-Security-Policy directive 'prefetch-src'.","level":"error","timestamp":1723918711135},{"text":"[.WebGL-0x208400b23800]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723918732431},{"text":"[.WebGL-0x208400b23800]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723918732431},{"text":"[.WebGL-0x208400b23800]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels","level":"warning","timestamp":1723918732431},{"text":"[.WebGL-0x208400b23800]GL Driver Message (OpenGL, Performance, GL_CLOSE_PATH_NV, High): GPU stall due to ReadPixels (this message will no longer repeat)","level":"warning","timestamp":1723918737570}],"screenshotDelay":10000},"timestamp":1723918710658},"created_at":"2024-08-17T18:19:33.769+00:00","updated_at":"2024-08-17T18:19:33.769+00:00"}