hytopia/server.mjs

The HYTOPIA SDK makes it easy for developers to create massively multiplayer games using JavaScript or TypeScript.

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Math.sqrt(U+Z*Z)}calculateRawInLab(A,Q){let{L:B,a:Y,b:J}=A,C=Q.L,X=Q.a,G=Q.b,F=Math.sqrt(Y*Y+J*J),W=Math.sqrt(X*X+G*G),Z=((F+W)/2)**7,U=0.5*(1-Math.sqrt(Z/(Z+L0._pow25to7))),$=(1+U)*Y,E=(1+U)*X,K=Math.sqrt($*$+J*J),I=Math.sqrt(E*E+G*G),V=K*I,H=L0._calculatehp(J,$),D=L0._calculatehp(G,E),L=Math.abs(H-D),z=C-B,M=I-K,N=L0._calculate_dHp(V,L,D,H),q=L0._calculate_ahp(V,L,H,D),w=L0._calculateT(q),P=(K+I)/2,_=((B+C)/2-50)**2,O=1+0.015*_/Math.sqrt(20+_),k=1+0.045*P,T=1+0.015*w*P,S=L0._calculateRT(q,P),v=z/O,y=M/k,h=N/T;return v**2+y**2+h**2+S*y*h}},VC=L0;WA(VC,"_kA",0.09803921568627451);WA(VC,"_pow25to7",6103515625);WA(VC,"_deg360InRad",l6(360));WA(VC,"_deg180InRad",l6(180));WA(VC,"_deg30InRad",l6(30));WA(VC,"_deg6InRad",l6(6));WA(VC,"_deg63InRad",l6(63));WA(VC,"_deg275InRad",l6(275));WA(VC,"_deg25InRad",l6(25));var hYA=class extends wW{calculateRaw(A,Q,B,Y,J,C,X,G){let F=(A+J)/2*this._whitePoint.r,W=(A-J)*this._whitePoint.r,Z=(Q-C)*this._whitePoint.g,U=(B-X)*this._whitePoint.b,$=((512+F)*W*W>>8)+4*Z*Z+((767-F)*U*U>>8),E=(G-Y)*this._whitePoint.a;return Math.sqrt($+E*E)}_setDefaults(){}},uz=class extends wW{calculateRaw(A,Q,B,Y,J,C,X,G){let F=J-A,W=C-Q,Z=X-B,U=G-Y;return Math.sqrt(this._kR*F*F+this._kG*W*W+this._kB*Z*Z+this._kA*U*U)}},xYA=class extends uz{_setDefaults(){this._kR=1,this._kG=1,this._kB=1,this._kA=1}},fYA=class extends uz{_setDefaults(){this._kR=0.2126,this._kG=0.7152,this._kB=0.0722,this._kA=1}},bYA=class extends uz{_setDefaults(){this._kR=0.2126,this._kG=0.7152,this._kB=0.0722,this._kA=0}},dz=class extends wW{calculateRaw(A,Q,B,Y,J,C,X,G){let F=J-A,W=C-Q,Z=X-B,U=G-Y;if(F<0)F=0-F;if(W<0)W=0-W;if(Z<0)Z=0-Z;if(U<0)U=0-U;return this._kR*F+this._kG*W+this._kB*Z+this._kA*U}},mYA=class extends dz{_setDefaults(){this._kR=1,this._kG=1,this._kB=1,this._kA=1}},uYA=class extends dz{_setDefaults(){this._kR=0.4984,this._kG=0.8625,this._kB=0.2979,this._kA=1}},dYA=class extends dz{_setDefaults(){this._kR=0.2126,this._kG=0.7152,this._kB=0.0722,this._kA=1}},cYA=class extends wW{calculateRaw(A,Q,B,Y,J,C,X,G){let F=(G-Y)*this._whitePoint.a;return this._colordifferenceCh(A*this._whitePoint.r,J*this._whitePoint.r,F)+this._colordifferenceCh(Q*this._whitePoint.g,C*this._whitePoint.g,F)+this._colordifferenceCh(B*this._whitePoint.b,X*this._whitePoint.b,F)}_colordifferenceCh(A,Q,B){let Y=A-Q,J=Y+B;return Y*Y+J*J}_setDefaults(){}},lYA={};R1(lYA,{AbstractPaletteQuantizer:()=>KI,ColorHistogram:()=>II,NeuQuant:()=>w0,NeuQuantFloat:()=>j0,RGBQuant:()=>sYA,WuColorCube:()=>rYA,WuQuant:()=>h4});var KI=class{quantizeSync(){for(let A of this.quantize())if(A.palette)return A.palette;throw Error("unreachable")}},C8=class{constructor(){WA(this,"r"),WA(this,"g"),WA(this,"b"),WA(this,"a"),WA(this,"uint32"),WA(this,"rgba"),this.uint32=4294967295,this.r=this.g=this.b=this.a=0,this.rgba=[,,,,],this.rgba[0]=0,this.rgba[1]=0,this.rgba[2]=0,this.rgba[3]=0}static createByQuadruplet(A){let Q=new C8;return Q.r=A[0]|0,Q.g=A[1]|0,Q.b=A[2]|0,Q.a=A[3]|0,Q._loadUINT32(),Q._loadQuadruplet(),Q}static createByRGBA(A,Q,B,Y){let J=new C8;return J.r=A|0,J.g=Q|0,J.b=B|0,J.a=Y|0,J._loadUINT32(),J._loadQuadruplet(),J}static createByUint32(A){let Q=new C8;return Q.uint32=A>>>0,Q._loadRGBA(),Q._loadQuadruplet(),Q}from(A){this.r=A.r,this.g=A.g,this.b=A.b,this.a=A.a,this.uint32=A.uint32,this.rgba[0]=A.r,this.rgba[1]=A.g,this.rgba[2]=A.b,this.rgba[3]=A.a}getLuminosity(A){let Q=this.r,B=this.g,Y=this.b;if(A)Q=Math.min(255,255-this.a+this.a*Q/255),B=Math.min(255,255-this.a+this.a*B/255),Y=Math.min(255,255-this.a+this.a*Y/255);return 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this._freq[G]+=BB._beta,this._bias[G]-=BB._betaGamma,F}},w0=BB;WA(w0,"_prime1",499);WA(w0,"_prime2",491);WA(w0,"_prime3",487);WA(w0,"_prime4",503);WA(w0,"_minpicturebytes",BB._prime4);WA(w0,"_nCycles",100);WA(w0,"_initialBiasShift",16);WA(w0,"_initialBias",1<<BB._initialBiasShift);WA(w0,"_gammaShift",10);WA(w0,"_betaShift",10);WA(w0,"_beta",BB._initialBias>>BB._betaShift);WA(w0,"_betaGamma",BB._initialBias<<BB._gammaShift-BB._betaShift);WA(w0,"_radiusBiasShift",6);WA(w0,"_radiusBias",1<<BB._radiusBiasShift);WA(w0,"_radiusDecrease",30);WA(w0,"_alphaBiasShift",10);WA(w0,"_initAlpha",1<<BB._alphaBiasShift);WA(w0,"_radBiasShift",8);WA(w0,"_radBias",1<<BB._radBiasShift);WA(w0,"_alphaRadBiasShift",BB._alphaBiasShift+BB._radBiasShift);WA(w0,"_alphaRadBias",1<<BB._alphaRadBiasShift);var dJ=3,emQ=class{constructor(A){WA(this,"r"),WA(this,"g"),WA(this,"b"),WA(this,"a"),this.r=this.g=this.b=this.a=A}toPoint(){return 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B=30+(A-1)/3,Y=Q/A,J=Y/YB._nCycles|0,C=YB._initAlpha,X=(this._networkSize>>3)*YB._radiusBias,G=X>>YB._radiusBiasShift;if(G<=1)G=0;for(let Z=0;Z<G;Z++)this._radPower[Z]=C*((G*G-Z*Z)*YB._radBias/(G*G));let F;if(Q<YB._minpicturebytes)F=1;else if(Q%YB._prime1!==0)F=YB._prime1;else if(Q%YB._prime2!==0)F=YB._prime2;else if(Q%YB._prime3!==0)F=YB._prime3;else F=YB._prime4;let W=new pX(Y,99);for(let Z=0,U=0;Z<Y;){if(W.shouldNotify(Z))yield{progress:W.progress};let $=this._pointArray[U],E=$.b<<dJ,K=$.g<<dJ,I=$.r<<dJ,V=$.a<<dJ,H=this._contest(E,K,I,V);if(this._alterSingle(C,H,E,K,I,V),G!==0)this._alterNeighbour(G,H,E,K,I,V);if(U+=F,U>=Q)U-=Q;if(Z++,J===0)J=1;if(Z%J===0){if(C-=C/B,X-=X/YB._radiusDecrease,G=X>>YB._radiusBiasShift,G<=1)G=0;for(let D=0;D<G;D++)this._radPower[D]=C*((G*G-D*D)*YB._radBias/(G*G))}}}_buildPalette(){let A=new VI;return this._network.forEach((Q)=>{A.add(Q.toPoint())}),A.sort(),A}_alterNeighbour(A,Q,B,Y,J,C){let X=Q-A;if(X<-1)X=-1;let G=Q+A;if(G>this._networkSize)G=this._networkSize;let F=Q+1,W=Q-1,Z=1;while(F<G||W>X){let U=this._radPower[Z++]/YB._alphaRadBias;if(F<G){let $=this._network[F++];$.subtract(U*($.r-J),U*($.g-Y),U*($.b-B),U*($.a-C))}if(W>X){let $=this._network[W--];$.subtract(U*($.r-J),U*($.g-Y),U*($.b-B),U*($.a-C))}}}_alterSingle(A,Q,B,Y,J,C){A/=YB._initAlpha;let X=this._network[Q];X.subtract(A*(X.r-J),A*(X.g-Y),A*(X.b-B),A*(X.a-C))}_contest(A,Q,B,Y){let J=1020<<dJ,C=2147483647,X=C,G=-1,F=G;for(let W=0;W<this._networkSize;W++){let Z=this._network[W],U=this._distance.calculateNormalized(Z,{r:B,g:Q,b:A,a:Y})*J;if(U<C)C=U,G=W;let $=U-(this._bias[W]>>YB._initialBiasShift-dJ);if($<X)X=$,F=W;let E=this._freq[W]>>YB._betaShift;this._freq[W]-=E,this._bias[W]+=E<<YB._gammaShift}return this._freq[G]+=YB._beta,this._bias[G]-=YB._betaGamma,F}},j0=YB;WA(j0,"_prime1",499);WA(j0,"_prime2",491);WA(j0,"_prime3",487);WA(j0,"_prime4",503);WA(j0,"_minpicturebytes",YB._prime4);WA(j0,"_nCycles",100);WA(j0,"_initialBiasShift",16);WA(j0,"_initialBias",1<<YB._initialBiasShift);WA(j0,"_gammaShift",10);WA(j0,"_betaShift",10);WA(j0,"_beta",YB._initialBias>>YB._betaShift);WA(j0,"_betaGamma",YB._initialBias<<YB._gammaShift-YB._betaShift);WA(j0,"_radiusBiasShift",6);WA(j0,"_radiusBias",1<<YB._radiusBiasShift);WA(j0,"_radiusDecrease",30);WA(j0,"_alphaBiasShift",10);WA(j0,"_initAlpha",1<<YB._alphaBiasShift);WA(j0,"_radBiasShift",8);WA(j0,"_radBias",1<<YB._radBiasShift);WA(j0,"_alphaRadBiasShift",YB._alphaBiasShift+YB._radBiasShift);WA(j0,"_alphaRadBias",1<<YB._alphaRadBiasShift);var UI=class{constructor(A,Q){WA(this,"_method"),WA(this,"_hueStats"),WA(this,"_histogram"),WA(this,"_initColors"),WA(this,"_minHueCols"),this._method=A,this._minHueCols=Q<<2,this._initColors=Q<<2,this._hueStats=new iYA(UI._hueGroups,this._minHueCols),this._histogram=Object.create(null)}sample(A){switch(this._method){case 1:this._colorStats1D(A);break;case 2:this._colorStats2D(A);break}}getImportanceSortedColorsIDXI32(){let A=fv(Object.keys(this._histogram),(B,Y)=>this._histogram[Y]-this._histogram[B]);if(A.length===0)return[];let Q;switch(this._method){case 1:let B=Math.min(A.length,this._initColors),Y=A[B-1],J=this._histogram[Y];Q=A.slice(0,B);let C=B,X=A.length;while(C<X&&this._histogram[A[C]]===J)Q.push(A[C++]);this._hueStats.injectIntoArray(Q);break;case 2:Q=A;break;default:throw Error("Incorrect method")}return Q.map((B)=>+B)}_colorStats1D(A){let Q=this._histogram,B=A.getPointArray(),Y=B.length;for(let J=0;J<Y;J++){let C=B[J].uint32;if(this._hueStats.check(C),C in Q)Q[C]++;else Q[C]=1}}_colorStats2D(A){let Q=A.getWidth(),B=A.getHeight(),Y=A.getPointArray(),J=UI._boxSize[0],C=UI._boxSize[1],X=J*C,G=this._makeBoxes(Q,B,J,C),F=this._histogram;G.forEach((W)=>{let Z=Math.round(W.w*W.h/X)*UI._boxPixels;if(Z<2)Z=2;let U={};this._iterateBox(W,Q,($)=>{let E=Y[$].uint32;if(this._hueStats.check(E),E in F)F[E]++;else if(E in U){if(++U[E]>=Z)F[E]=U[E]}else U[E]=1})}),this._hueStats.injectIntoDictionary(F)}_iterateBox(A,Q,B){let Y=A,J=Y.y*Q+Y.x,C=(Y.y+Y.h-1)*Q+(Y.x+Y.w-1),X=Q-Y.w+1,G=0,F=J;do B.call(this,F),F+=++G%Y.w===0?X:1;while(F<=C)}_makeBoxes(A,Q,B,Y){let J=A%B,C=Q%Y,X=A-J,G=Q-C,F=[];for(let W=0;W<Q;W+=Y)for(let Z=0;Z<A;Z+=B)F.push({x:Z,y:W,w:Z===X?J:B,h:W===G?C:Y});return F}},II=UI;WA(II,"_boxSize",[64,64]);WA(II,"_boxPixels",2);WA(II,"_hueGroups",10);var AuQ=class{constructor(A,Q,B){WA(this,"index"),WA(this,"color"),WA(this,"distance"),this.index=A,this.color=Q,this.distance=B}},sYA=class extends KI{constructor(A,Q=256,B=2){super();WA(this,"_colors"),WA(this,"_initialDistance"),WA(this,"_distanceIncrement"),WA(this,"_histogram"),WA(this,"_distance"),this._distance=A,this._colors=Q,this._histogram=new II(B,Q),this._initialDistance=0.01,this._distanceIncrement=0.005}sample(A){this._histogram.sample(A)}*quantize(){let A=this._histogram.getImportanceSortedColorsIDXI32();if(A.length===0)throw Error("No colors in image");yield*this._buildPalette(A)}*_buildPalette(A){let Q=new VI,B=Q.getPointContainer().getPointArray(),Y=Array(A.length);for(let Z=0;Z<A.length;Z++)B.push(C8.createByUint32(A[Z])),Y[Z]=1;let J=B.length,C=[],X=J,G=this._initialDistance,F=new pX(X-this._colors,99);while(X>this._colors){C.length=0;for(let Z=0;Z<J;Z++){if(F.shouldNotify(J-X))yield{progress:F.progress};if(Y[Z]===0)continue;let U=B[Z];for(let $=Z+1;$<J;$++){if(Y[$]===0)continue;let E=B[$],K=this._distance.calculateNormalized(U,E);if(K<G)C.push(new AuQ($,E,K)),Y[$]=0,X--}}G+=X>this._colors*3?this._initialDistance:this._distanceIncrement}if(X<this._colors){fv(C,(U,$)=>$.distance-U.distance);let Z=0;while(X<this._colors&&Z<C.length){let U=C[Z];Y[U.index]=1,X++,Z++}}let W=B.length;for(let Z=W-1;Z>=0;Z--)if(Y[Z]===0){if(Z!==W-1)B[Z]=B[W-1];--W}B.length=W,Q.sort(),yield{palette:Q,progress:100}}};function k4(A){let Q=[];for(let B=0;B<A;B++)Q[B]=0;return Q}function _4(A,Q,B,Y){let J=Array(A);for(let C=0;C<A;C++){J[C]=Array(Q);for(let X=0;X<Q;X++){J[C][X]=Array(B);for(let G=0;G<B;G++){J[C][X][G]=Array(Y);for(let F=0;F<Y;F++)J[C][X][G][F]=0}}}return J}function v4(A,Q,B){let Y=Array(A);for(let J=0;J<A;J++){Y[J]=Array(Q);for(let C=0;C<Q;C++){Y[J][C]=Array(B);for(let X=0;X<B;X++)Y[J][C][X]=0}}return Y}function y4(A,Q,B,Y,J){for(let C=0;C<Q;C++){A[C]=[];for(let X=0;X<B;X++){A[C][X]=[];for(let G=0;G<Y;G++)A[C][X][G]=J}}}function g4(A,Q,B){for(let Y=0;Y<Q;Y++)A[Y]=B}var rYA=class{constructor(){WA(this,"redMinimum"),WA(this,"redMaximum"),WA(this,"greenMinimum"),WA(this,"greenMaximum"),WA(this,"blueMinimum"),WA(this,"blueMaximum"),WA(this,"volume"),WA(this,"alphaMinimum"),WA(this,"alphaMaximum")}},jQ=class extends KI{constructor(A,Q=256,B=5){super();WA(this,"_reds"),WA(this,"_greens"),WA(this,"_blues"),WA(this,"_alphas"),WA(this,"_sums"),WA(this,"_weights"),WA(this,"_momentsRed"),WA(this,"_momentsGreen"),WA(this,"_momentsBlue"),WA(this,"_momentsAlpha"),WA(this,"_moments"),WA(this,"_table"),WA(this,"_pixels"),WA(this,"_cubes"),WA(this,"_colors"),WA(this,"_significantBitsPerChannel"),WA(this,"_maxSideIndex"),WA(this,"_alphaMaxSideIndex"),WA(this,"_sideSize"),WA(this,"_alphaSideSize"),WA(this,"_distance"),this._distance=A,this._setQuality(B),this._initialize(Q)}sample(A){let Q=A.getPointArray();for(let B=0,Y=Q.length;B<Y;B++)this._addColor(Q[B]);this._pixels=this._pixels.concat(Q)}*quantize(){yield*this._preparePalette();let A=new VI;for(let Q=0;Q<this._colors;Q++)if(this._sums[Q]>0){let B=this._sums[Q],Y=this._reds[Q]/B,J=this._greens[Q]/B,C=this._blues[Q]/B,X=this._alphas[Q]/B,G=C8.createByRGBA(Y|0,J|0,C|0,X|0);A.add(G)}A.sort(),yield{palette:A,progress:100}}*_preparePalette(){yield*this._calculateMoments();let A=0,Q=k4(this._colors);for(let X=1;X<this._colors;++X){if(this._cut(this._cubes[A],this._cubes[X]))Q[A]=this._cubes[A].volume>1?this._calculateVariance(this._cubes[A]):0,Q[X]=this._cubes[X].volume>1?this._calculateVariance(this._cubes[X]):0;else Q[A]=0,X--;A=0;let G=Q[0];for(let F=1;F<=X;++F)if(Q[F]>G)G=Q[F],A=F;if(G<=0){this._colors=X+1;break}}let B=[],Y=[],J=[],C=[];for(let X=0;X<this._colors;++X){let G=jQ._volume(this._cubes[X],this._weights);if(G>0)B[X]=jQ._volume(this._cubes[X],this._momentsRed)/G|0,Y[X]=jQ._volume(this._cubes[X],this._momentsGreen)/G|0,J[X]=jQ._volume(this._cubes[X],this._momentsBlue)/G|0,C[X]=jQ._volume(this._cubes[X],this._momentsAlpha)/G|0;else B[X]=0,Y[X]=0,J[X]=0,C[X]=0}this._reds=k4(this._colors+1),this._greens=k4(this._colors+1),this._blues=k4(this._colors+1),this._alphas=k4(this._colors+1),this._sums=k4(this._colors+1);for(let X=0,G=this._pixels.length;X<G;X++){let F=this._pixels[X],W=-1,Z=-1,U=Number.MAX_VALUE;for(let $=0;$<this._colors;$++){let E=B[$],K=Y[$],I=J[$],V=C[$],H=this._distance.calculateRaw(E,K,