Sakurairo/js/5401.js

(()=>{var t={612:(t,i,e)=>{var s=e(2873);t.exports={name:"lab",min:[0,-100,-100],max:[100,100,100],channel:["lightness","a","b"],alias:["LAB","cielab"],xyz:function(t){var i,e,s,n,a=t[0],r=t[1],h=t[2];return a<=8?n=(e=100*a/903.3)/100*7.787+16/116:(e=100*Math.pow((a+16)/116,3),n=Math.pow(e/100,1/3)),[i=i/95.047<=.008856?i=95.047*(r/500+n-16/116)/7.787:95.047*Math.pow(r/500+n,3),e,s=s/108.883<=.008859?s=108.883*(n-h/200-16/116)/7.787:108.883*Math.pow(n-h/200,3)]}},s.lab=function(t){var i=t[0],e=t[1],s=t[2];return e/=100,s/=108.883,i=(i/=95.047)>.008856?Math.pow(i,1/3):7.787*i+16/116,[116*(e=e>.008856?Math.pow(e,1/3):7.787*e+16/116)-16,500*(i-e),200*(e-(s=s>.008856?Math.pow(s,1/3):7.787*s+16/116))]}},9006:t=>{t.exports={name:"rgb",min:[0,0,0],max:[255,255,255],channel:["red","green","blue"],alias:["RGB"]}},2873:(t,i,e)=>{var 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i)e.o(i,s)&&!e.o(t,s)&&Object.defineProperty(t,s,{enumerable:!0,get:i[s]})},e.o=(t,i)=>Object.prototype.hasOwnProperty.call(t,i),(()=>{const t=3*Math.max(499,491,487,503),i={ncycles:100,netsize:256,samplefac:10};class s{constructor(t,e){if(function(t){for(let i=1,e=arguments.length;i<e;i++){const e=arguments[i];if(null!=e)for(const i in e)Object.prototype.hasOwnProperty.call(e,i)&&(t[i]=e[i])}}(this,i,{pixels:t},e),this.netsize<4||this.netsize>256)throw new Error("Color count must be between 4 and 256");if(this.samplefac<1||this.samplefac>30)throw new Error("Sampling factor must be between 1 and 30");this.maxnetpos=this.netsize-1,this.netbiasshift=4,this.intbiasshift=16,this.intbias=1<<this.intbiasshift,this.gammashift=10,this.gamma=1<<this.gammashift,this.betashift=10,this.beta=this.intbias>>this.betashift,this.betagamma=this.beta*this.gamma,this.initrad=this.netsize>>3,this.radiusbiasshift=6,this.radiusbias=1<<this.radiusbiasshift,this.initradius=this.initrad*this.radiusbias,this.radiusdec=30,this.alphabiasshift=10,this.initalpha=1<<this.alphabiasshift,this.radbiasshift=8,this.radbias=1<<this.radbiasshift,this.alpharadbshift=this.alphabiasshift+this.radbiasshift,this.alpharadbias=1<<this.alpharadbshift,this.network=[],this.netindex=new Uint32Array(256),this.bias=new Uint32Array(this.netsize),this.freq=new Uint32Array(this.netsize),this.radpower=new Uint32Array(this.netsize>>3);for(let t=0,i=this.netsize;t<i;t++){let i=(t<<this.netbiasshift+8)/this.netsize;this.network[t]=new Float64Array([i,i,i,0]),this.freq[t]=this.intbias/this.netsize,this.bias[t]=0}}unbiasnet(){for(let t=0,i=this.netsize;t<i;t++)this.network[t][0]>>=this.netbiasshift,this.network[t][1]>>=this.netbiasshift,this.network[t][2]>>=this.netbiasshift,this.network[t][3]=t}altersingle(t,i,e,s,n){this.network[i][0]-=t*(this.network[i][0]-e)/this.initalpha,this.network[i][1]-=t*(this.network[i][1]-s)/this.initalpha,this.network[i][2]-=t*(this.network[i][2]-n)/this.initalpha}alterneigh(t,i,e,s,n){const a=Math.abs(i-t),r=Math.min(i+t,this.netsize);let h=i+1,o=i-1,l=1;for(;h<r||o>a;){const t=this.radpower[l++];if(h<r){const i=this.network[h++];i[0]-=t*(i[0]-e)/this.alpharadbias,i[1]-=t*(i[1]-s)/this.alpharadbias,i[2]-=t*(i[2]-n)/this.alpharadbias}if(o>a){const i=this.network[o--];i[0]-=t*(i[0]-e)/this.alpharadbias,i[1]-=t*(i[1]-s)/this.alpharadbias,i[2]-=t*(i[2]-n)/this.alpharadbias}}}contest(t,i,e){let s=~(1<<31),n=s,a=-1,r=a;for(let h=0,o=this.netsize;h<o;h++){let o=this.network[h],l=Math.abs(o[0]-t)+Math.abs(o[1]-i)+Math.abs(o[2]-e);l<s&&(s=l,a=h);let f=l-(this.bias[h]>>this.intbiasshift-this.netbiasshift);f<n&&(n=f,r=h);let p=this.freq[h]>>this.betashift;this.freq[h]-=p,this.bias[h]+=p<<this.gammashift}return this.freq[a]+=this.beta,this.bias[a]-=this.betagamma,r}inxbuild(){let t=0,i=0;for(let e=0,s=this.netsize;e<s;e++){let n=this.network[e],a=null,r=e,h=n[1];for(let t=e+1;t<s;t++)a=this.network[t],a[1]<h&&(r=t,h=a[1]);if(a=this.network[r],e!==r&&([n[0],a[0]]=[a[0],n[0]],[n[1],a[1]]=[a[1],n[1]],[n[2],a[2]]=[a[2],n[2]],[n[3],a[3]]=[a[3],n[3]]),h!==t){this.netindex[t]=i+e>>1;for(let i=t+1;i<h;i++)this.netindex[i]=e;t=h,i=e}}this.netindex[t]=i+this.maxnetpos>>1;for(let i=t+1;i<256;i++)this.netindex[i]=this.maxnetpos}learn(){const i=this.pixels.length,e=30+(this.samplefac-1)/3,s=i/(3*this.samplefac);let n,a=s/this.ncycles|0,r=this.initalpha,h=this.initradius,o=h>>this.radiusbiasshift;o<=1&&(o=0);for(let t=0;t<o;t++)this.radpower[t]=r*((o*o-t*t)*this.radbias/(o*o));i<t?(this.samplefac=1,n=3):n=i%499!=0?1497:i%491!=0?1473:i%487!=0?1461:1509;let l=0;for(let t=0;t<s;){let s=(255&this.pixels[l])<<this.netbiasshift,f=(255&this.pixels[l+1])<<this.netbiasshift,p=(255&this.pixels[l+2])<<this.netbiasshift,u=this.contest(s,f,p);if(this.altersingle(r,u,s,f,p),0!==o&&this.alterneigh(o,u,s,f,p),l+=n,l>=i&&(l-=i),0===a&&(a=1),++t%a==0){r-=r/e,h-=h/this.radiusdec,o=h>>this.radiusbiasshift,o<=1&&(o=0);for(let t=0;t<o;t++)this.radpower[t]=r*((o*o-t*t)*this.radbias/(o*o))}}}buildColorMap(){this.learn(),this.unbiasnet(),this.inxbuild()}getColorMap(){const t=new Buffer(3*this.netsize),i=new Buffer(this.netsize);for(let t=0,e=this.netsize;t<e;t++)i[this.network[t][3]]=t;for(let e=0,s=0,n=0,a=this.netsize;e<a;e++)n=i[e],t[s++]=255&this.network[n][0],t[s++]=255&this.network[n][1],t[s++]=255&this.network[n][2];return t}}function n(t,i,e,s){let n=0,a=16777216;for(let r=0,h=t.length;r<h;){const 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